PUBLICATIONS
Patents:
Granted:
1. R.B. Pachori, M.S. Manikandan, and F.A. Razak,
Apparatus and methods for noise-aware and energy-efficient pulse rate
variability and heart rate variability analysis, Indian Patent, Patent
application no. 202221075073, Filed: 23 December 2022, Granted: 26 December
2025.
2. R.B. Pachori, M.S. Manikandan, and N. Phukan, Systems
and methods for contextual information aware physiological parameter analysis
and intelligent human disease prediction, Indian Patent, Patent application no.
202221075605, Filed: 26 December 2022, Granted: 05 December 2025.
3. D. Nayak, R.B. Pachori, G. Banda, S.D. Choudhari, and
S. Neema, A remote pregnancy detection and monitoring device for mammal with
multiple foetuses, Indian Patent, Patent application
no. 202121016255, Filed: 07 April 2021, Granted: 11 August 2025.
4. R.B. Pachori, M.S. Manikandan, and J. Varghese V,
Systems and methods for quality-aware energy-efficient respiration rate
estimation from photoplethysmography (PPG) signal, Indian Patent, Patent
application no. 202221075071, Filed: 23 December 2022, Granted: 06 August 2025.
5. R.B. Pachori, M.S. Manikandan, and J. Varghese V, A
system for PPG signal analysis, Indian Patent, Patent application no.
202221075607, Filed: 26 December 2022, Granted: 03 April 2025.
6. R.B. Pachori, M.S. Manikandan, and A. Mondal,
Apparatus and methods for noise-aware energy-efficient ECG signal analysis and
cardiovascular disease diagnosis and prediction, Indian Patent, Patent
application no. 202221075072, Filed: 23 December 2022, Granted: 25 September
2024.
7. B. Fatimah, P. Singh, A. Singhal, and R.B. Pachori,
System and method for biometric identification using ECG signals, Australian
Patent, Patent no. 2021106695, Filed: 24 August 2021, Granted: 23 December
2021.
Published:
1. R.B. Pachori and K. Das, System and method for
predicting Parkinsons disease, Indian Patent, Patent application
no. 202221027358, Filed: 12 May 2022, Published: 26 May 2023.
Filed:
1. M.S. Manikandan, R.B. Pachori, and A. Mondal, Methods
and systems for deep learning-based ECG noise detection and classification
apparatus, Indian Patent, Patent application no. 202541055512, Filed: 09 June
2025.
2. M.S. Manikandan, R.B. Pachori, and N. Phukan,
Apparatus and methods for quality-aware ventricular tachycardia/ventricular
fibrillation detection for automated defibrillator and wearable devices, Indian
Patent, Patent application no. 202541054796, Filed: 06 June 2025.
3. M.S. Manikandan, R.B. Pachori, and N. Phukan, Methods
and systems for quality and activity-aware atrial fibrillation detection in
wearable and edge AI cardiac health monitoring applications, Indian Patent,
Patent application no. 202541054433, Filed: 05 June 2025.
Books:
Textbook:
1. R.B. Pachori, Time-frequency analysis techniques and
their applications, CRC Press, May 2023, ISBN: 9781032392974.
Edited Books:
1. R.K. Tripathy, R.B. Pachori, S. Padhy,
and M. De Vos, Non-stationary and nonlinear data processing for automated
computer-aided medical diagnosis, Elsevier, June 2026, ISBN: 9780443314278.
2. D. Gupta, M. Pandey, A. Nigam, and R.B. Pachori,
Next-generation networks and deployable artificial intelligence-Proceedings of
NGNDAI 2025, Volume 1, Springer, February 2026, ISBN: 9783032154002.
3. R.K. Tripathy and R.B. Pachori, Artificial
intelligence enabled signal processing based models
for neural information processing, CRC Press, June 2024, ISBN: 9781032529301.
4. R.K. Tripathy and R.B. Pachori, Signal processing
driven machine learning techniques for cardiovascular data processing,
Elsevier, June 2024, ISBN: 9780443141416.
5. D.S. Sisodia, L. Garg, R.B. Pachori, and M. Tanveer,
Machine intelligence techniques for data analysis and signal processing:
Proceedings of the 4th international conference MISP 2022, Volume 1, Springer,
May 2023, ISBN: 9789819900848.
6. R.K. Chaurasiya, D.K. Agrawal, and R.B. Pachori,
AI-enabled smart healthcare using biomedical signals, IGI Global, May 2022,
ISBN: 9781668439470.
7. D. Gupta, R.S. Goswami, S. Banerjee, M. Tanveer, and
R.B. Pachori, Pattern recognition and data analysis with applications,
Springer, September 2022, ISBN: 9789811915192.
8. S.K. Pani, S.K. Singh, R.B. Pachori, L. Garg, and X.
Zhang, Intelligent data analytics for terror threat prediction: Architectures,
methodologies, techniques and applications, Wiley-Scrivener, January 2021,
ISBN: 9781119711094.
9. D.S. Sisodia, R.B. Pachori, and L. Garg, Handbook of
research on advancement of artificial intelligence in healthcare engineering,
IGI Global, February 2020, ISBN: 9781799821205.
10. M. Tanveer and R.B. Pachori, Machine intelligence and
signal analysis, Advances in Intelligent Systems and Computing, Springer,
August 2019, ISBN: 9789811309236.
Monograph:
1. R.B. Pachori and P. Sircar, Non-stationary signal
analysis: Methods based on Fourier-Bessel representation, LAP LAMBERT Academic
Publishing, Saarbrucken, Germany, December 2010, ISBN: 9783843388078.
Book Chapters:
1. R. Mittal, H.
Juneja, N. Kasimkota, R.K. Tripathy, and R.B. Pachori, An
IoT-enabled time-frequency domain ensemble deep learning framework for
detection of pulmonary diseases using lung sound recordings, Advanced Wearable
Sensing in Clinical Practice towards Healthcare 5.0, Springer, In press, 2025.
2.
K. Das and R.B.
Pachori, Advanced signal processing and machine learning techniques for
computer-aided medical diagnosis, Non-stationary and Nonlinear Data Processing
for Automated Computer-aided Medical Diagnosis, Elsevier, June 2026.
3.
S. Dash, R.K.
Tripathy, and R.B. Pachori, Fourier-Bessel domain discrete Stockwell transform
for automated recognition of imagined words and phrases from multichannel EEG
signals, Non-stationary and Nonlinear Data Processing for Automated
Computer-aided Medical Diagnosis, Elsevier, June 2026.
4.
S.V. Bhalerao,
S.S. Ainwad, and R.B. Pachori, FBSE based automated
classification of motor imagery EEG signals in brain-computer interface,
Advances in Neural Engineering, Brain-Computer Interfaces, Volume 2, Elsevier,
November 2024.
5.
H.K. Damodaran,
R.K. Tripathy, and R.B. Pachori, Time-frequency domain
deep representation learning for detection of heart valve diseases using PCG
recordings for IoT-based smart healthcare applications, Signal Processing
Driven Machine Learning Techniques for Cardiovascular Data Processing,
Elsevier, June 2024.
6. N. Muralidharan, S. Gupta, A. Gade, M.R. Prusty, R.K. Tripathy, and R.B. Pachori, Two-dimensional
automatic SSA domain multi-modal deep neural network for detection of COVID19
from lung ultrasound images, Clinical Practice and Unmet Challenges in
AI-Enhanced Healthcare Systems, IGI Global, August 2024.
7. K. Das, A. Mondal, N. Phukan, and R.B. Pachori,
Multivariate adaptive signal decomposition techniques and their applications to
EEG signal processing: An introduction, Handbook of Neural Engineering, Vol. 1:
Signal Processing Strategies, Elsevier, November 2024.
8. A. Patwari, S. Dash, R.K. Tripathy, G. Panda, and R.B.
Pachori, Ramanujan filter-bank domain deep CNN for detection of atrial
fibrillation using 12-lead ECG, Signal Processing Driven Machine Learning
Techniques for Cardiovascular Data Processing, Elsevier, June 2024.
9. S. Dash, R.K. Tripathy, and R.B. Pachori, Detection of
stress levels during Stroop Color-Word Test using multivariate projection-based
MUSIC domain EWT of multichannel EEG signal and machine learning, Artificial
Intelligence Enabled Signal Processing based Models for Neural Information
Processing, CRC Press, June 2024.
10. K. Das, V.K. Singh, and R.B. Pachori, Introduction to
EEG signal recording and processing, Artificial Intelligence Enabled Signal
Processing based Models for Neural Information Processing, CRC Press, June
2024.
11. S.V. Bhalerao and R.B. Pachori, Automatic detection of
motor imagery EEG signals using swarm decomposition for robust
BCI systems, Human-Machine Interface Technology Advancements and
Applications, CRC Press, September 2023.
12. P. Gaur, V. Malaviya, A. Gupta, G. Bhatia, B. Mishra,
R.B. Pachori, and D. Sharma, An optimal model selection for COVID 19 disease
classification, Biomedical Signal and Image Processing with Artificial
Intelligence, EAI/ Springer, September 2022.
13. A. Nalwaya, K. Das, and R.B.
Pachori, Emotion identification from TQWT based EEG rhythms, AI-Enabled Smart
Healthcare Using Biomedical Signals, IGI Global, May 2022.
14. S.I. Khan and R.B. Pachori, Empirical wavelet transform based framework for diagnosis of epilepsy using
EEG signals, AI-Enabled Smart Healthcare Using Biomedical Signals, IGI Global,
May 2022.
15. A. Ullal and R.B. Pachori, Variational mode
decomposition based automated diagnosis method for epilepsy using EEG signals,
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Techniques and Applications, Biomedical Engineering, CRC Press, February 2022.
16. P.K. Chaudhary and R.B. Pachori, Denoising
of biomedical images using two-dimensional Fourier-Bessel series expansion
based empirical wavelet transform, Assistive Technology Intervention in
Healthcare Publisher, CRC, Taylor & Francis Group, UK, December 2021.
17. R.R. Sharma, P. Meena, and R.B. Pachori, Enhanced
time-frequency representation based on variational mode decomposition and
Wigner-Ville distribution, Recent Trends in Image and Signal Processing in
Computer Vision, Springer, March 2020.
18. R. Singh and R.B. Pachori, Iterative filtering based
automated method for detection of normal and ALS EMG signals, Recent Trends in
Image and Signal Processing in Computer Vision, Springer, March 2020.
19. R. Sharma, P. Sircar, and R.B. Pachori, Automated
seizures classification using deep neural network based on autoencoder,
Advancement of Artificial Intelligence in Healthcare Engineering, IGI
Global, March 2020.
20. D. Bhati, A. Raikwar, R.B.
Pachori, and V.M. Gadre, Three channel wavelet filter
banks with minimal time frequency spread for classification of seizure-free and
seizure EEG signals, Advancement of Artificial Intelligence in Healthcare
Engineering, IGI Global, February 2020.
21. R.B. Pachori and V. Gupta, Biomedical engineering
fundamentals, Intelligent Internet of Things: From Device, to Fog, and
Cloud, Springer, January 2020.
22. R. Sharma, P. Sircar, and R.B. Pachori, Computer-aided
diagnosis of epilepsy using bispectrum of EEG
signals, Application of Biomedical Engineering in Neuroscience, Springer,
November 2019.
23. V. Gupta, A. Bhattacharyya, and R.B. Pachori,
Automated identification of epileptic seizures from EEG signals using FBSE-EWT
method, Biomedical Signal Processing-Advances in Theory, Algorithms and
Applications, Springer, November 2019.
24. D. Bhati, R.B. Pachori, M. Sharma, and V.M. Gadre,
Automated detection of seizure and nonseizure EEG
signals using two-band biorthogonal wavelet filter banks, Biomedical Signal
Processing-Advances in Theory, Algorithms and Applications, Springer, November
2019.
25. A. Agrawal, L. Garg, E.E. Audu, R.B. Pachori, and
J.H.G. Dauwels, Early detection of epileptic seizures
based on scalp EEG signals, Medical imaging:
Artificial Intelligence, Image Recognition, and Machine Learning
Techniques, CRC Press, September 2019.
26. R.R. Sharma, M. Kumar, and R.B. Pachori,
Classification of EMG signals using eigenvalue decomposition
based time-frequency representation, Biomedical and Clinical Engineering
for Healthcare Advancement, IGI Global, July 2019.
27. R. Sharma and R.B. Pachori, Automated
classification of focal and non-focal EEG signals based on bivariate empirical
mode decomposition, Biomedical Signal and Image Processing in Patient Care, IGI
Global, August 2017.
28. R.B. Pachori, R. Sharma, and S.
Patidar, Classification of normal and epileptic seizure EEG signals based
on empirical mode decomposition, Complex System Modelling and Control through
Intelligent Soft Computations, Studies in Fuzziness and Soft Computing,
Springer, November 2014.
29. S. Patidar and R.B. Pachori, Classification of
heart disorders based on tunable-Q wavelet transform of cardiac sound signals,
Chaos Modelling and Control Systems Design, Studies in Computational
Intelligence, Springer, January 2014.
30. V. Bajaj and R.B. Pachori, Detection of human
emotions using features based on the multiwavelet transform of EEG signals,
Brain-Computer Interfaces: Current Trends and Applications, Intelligent
Systems Reference Library, Springer, January 2014.
1.
A. Mahato, K. Das, and R.B. Pachori, A multivariate approach for
drowsiness detection using empirical Fourier decomposition, Biomedical Signal
Processing and Control, vol. 113, part B, 108944, pp. 1-14, March 2026.
2.
S.P. Kamaraju, K. Das, and R.B. Pachori,
Signing EEG-based biometric authentication system using multivariate
Fourier-Bessel series expansion-based entropies, Digital Signal Processing,
vol. 170, 105803, pp. 1-14, February 2026.
3.
K.V. Gupta, T.K.R. Bollu, L. Behera, K.
Ika, and R.B. Pachori, MFG-RNN: A multi-feedback gated
recurrent neural network with HJB-based weight update for EEG-based concealed
information detection, Digital Signal Processing, vol. 170, 105806, pp. 1-12,
February 2026.
4.
S. Bhingikar, R.R. Sharma, and R.B.
Pachori, Radar-based non-contact heart rate monitoring: A comprehensive review,
Digital Signal Processing, vol. 168, part D, 105630, pp. 1-20, January 2026.
5.
S. Singh, J. Beuria, L. Behera, R.B.
Pachori, and V. Gupta, Decoding cognitive load changes
induced by mantra meditation from physiological signals using deep neural
networks, IEEE Sensors Journal, vol. 26, issue 01, pp. 1088-1102, January 2026.
6.
A. Shedsale, S. Sharma, R.R. Sharma,
R.B. Pachori, EEG-based automated system for reach-and-grasp identification
using amplitude envelope enabled multivariate spectral information, IEEE
Transactions on Automation Science and Engineering, vol. 22, pp. 9153-9163, 2025.
7.
S. Ganavdiya, B. Appina, and R.B.
Pachori, Descriptor: Benchmark dataset for animated multimedia quality
assessment (BeDAMQA), IEEE Data Descriptions, vol. 2,
pp. 441-451, December 2025.
8.
A. Nalwaya, V.K. Singh, and R.B.
Pachori, Emotion identification from physiological signals using iterative
filtering-based empirical wavelet transform, IEEE Sensors Journal, vol. 25,
issue 24, pp. 44493-44500, December 2025.
9.
P.K. Raghuwanshi, A.K.R. Poreddy, B. Appina, and R.B. Pachori, 3D-CLuDe: A 3D image
quality evaluator using correlative dependencies between luminance and depth
attributes, IEEE Sensors Letters, vol. 09, issue 12, 6012504, pp. 1-4, December
2025.
10.
R. Hoseini, A. Shalbaf,
A. Shoeibi, and R.B. Pachori, Application of
artificial intelligence in attention-deficit hyperactivity disorder detection
and response to treatment: A systematic review, Biomedical Signal Processing
and Control, vol. 110, part A, 108197, pp. 1-30, December 2025.
11.
D. Das, D.R. Nayak, and R.B. Pachori, Glaucoformer:
Dual-domain global transformer network for generalized glaucoma stage
classification, IEEE Journal of Biomedical and Health Informatics, vol. 29,
issue 11, pp. 8450- 8459, November 2025.
12.
V.K. Singh and R.B. Pachori, Iterative eigenvalue decomposition of
Hankel matrix: An EMD like tool, Journal of the Franklin Institute, vol. 362,
issue 17, 108104, pp. 1-23, November 2025.
13.
N. Phukan, M.S. Manikandan, and R.B. Pachori, Resource-efficient
CNN based atrial fibrillation detection using P-wave and RR interval features
for edge-AI cardiac health monitoring devices, IEEE Transactions on Artificial
Intelligence, vol. 6, issue 10, pp. 2754-2765, October 2025.
14.
A. Mondal, M.S. Manikandan, and R.B. Pachori, Automatic ECG signal
quality assessment using convolutional neural networks and derivative ECG
signal for false alarm reduction in wearable vital signs monitoring devices,
Biomedical Signal Processing and Control, vol. 108, 107876, pp. 1-10, October
2025.
15.
K.K. Mishra and R.B. Pachori, Human activity recognition from
radar signals based on FBSE-EWT and quantum convolution neural network, IEEE
Sensors Letters, vol. 9, issue 09, pp. 01-04, September 2025.
16.
B. Kirar, D.K. Agrawal, and R.B. Pachori, QBVMD-based tri channel
feature extraction approach for glaucoma diagnosis, IETE Journal of Research,
vol. 71, issue 08, pp. 2847-2859, August 2025.
17.
K. Das and R.B.
Pachori, Automated mental fatigue detection from electroencephalogram using
joint timefrequency representation based on
multivariate iterative filtering, IEEE Transactions on Cognitive and
Developmental Systems, vol. 17, issue 04, pp. 1000-1010, August 2025.
18.
K.K. Mishra and
R.B. Pachori, FMCW radar-based human activity recognition based on higher-order
synchrosqueezing transform, IEEE Sensors Journal,
vol. 25, issue 15, pp. 28934-28941, August 2025.
19.
S.I. Khan and
R.B. Pachori, Automated posterior myocardial infarction detection from vectorcardiogram
and derived vectorcardiogram signals using MVFBSE-EWT method, Digital Signal
Processing, vol. 163, 105244, pp. 1-15, August 2025.
20.
S.V. Bhalerao
and R.B. Pachori, ESSDM: An enhanced sparse swarm decomposition method and its
application in multi‐class motor imagery-based EEG-BCI system, IEEE
Transactions on Automation Science and Engineering, vol. 22, pp. 18509-18521,
July 2025.
21.
N. Phukan, M.S.
Manikandan, R.B. Pachori, and N. Garg, Lightweight electrocardiogram signal
quality-aware VT/VF detector for resource-constrained
life-threatening monitoring devices, IEEE Sensors Letters, vol. 09, issue 07,
pp. 1-4, July 2025.
22.
N. Phukan, M.S.
Manikandan, and R.B. Pachori, Noise-aware deep ECG-based VT/VF detection method
for trustworthy life threatening arrhythmia monitoring
devices, IEEE Transactions on Instrumentation & Measurement, vol. 74,
4512311, pp. 1-11, July 2025.
23.
S.V. Bhalerao
and R.B. Pachori, Imagined speech-EEG detection using
multivariate swarm sparse decomposition-based joint time-frequency analysis for
intuitive BCI, IEEE Transactions on Human-Machine Systems, vol. 55, issue 03,
pp. 347-357, June 2025.
24.
K.K. Makam,
V.K. Singh, and R.B. Pachori, Eye movement detection based on SM-SSA and
quantum CNN from EMG of EOM signals, IEEE Sensors Letters, vol. 9, issue 5,
6004504, pp. 1-4, May 2025.
25.
S. Pratik, P.
Sharma, B.K. Balabantaray, and R.B. Pachori, MSPolypNet:
A residual multi-scale semantic approach for polyps
segmentation, Computers and Electrical Engineering, vol. 123, part D, 110224,
pp. 1-24, April 2025.
26.
S. Singh, K.V.
Gupta, R.B. Pachori, L. Behera, and B. Bhushan, A novel symbolic
regression-based approach for decoding the impact of meditation on cognitive
enhancement using multimodal EEG signal analysis, Biomedical Signal Processing
and Control, vol. 106, 107684, pp. 1-22, August 2025.
27.
V. Makkar, A. Tewary, R.K. Pandey, and R.B. Pachori, Collation of few
retinal vessel segmentation techniques: Is the problem solved?,
SN Computer Science, vol. 6, article number 161, February 2025.
28.
A. Tyagi, V.K.
Singh, and R.B. Pachori, FBSE-EWT technique-based complex-valued signal
analysis, Circuits, Systems, and Signal Processing, vol. 44, pp. 1349-1370,
February 2025.
29.
K. Jyoti, S.
Yadav, C. Patel, M. Dubey, P.K. Chaudhary, R.B. Pachori, and S. Mukherjee,
Implementation of FBSE-EWT method in memristive
crossbar array framework for automated glaucoma diagnosis from fundus images,
Biomedical Signal Processing and Control, vol. 100, part C, 107087, pp. 01-09,
February 2025.
30.
S. Dash, D.K.
Dash, R.K. Tripathy, and R.B. Pachori, Time-frequency domain machine learning
for detection of epilepsy using wearable EEG sensor signals recorded during
physical activities, Biomedical Signal Processing and Control, vol. 100, part
C, 107041, pp. 1-14, February 2025.
31.
D. Rana, S.
Pratik, B.K. Balabantaray, R. Peesapati, and R.B.
Pachori, GCAPSeg-Net: An efficient global
context-aware network for colorectal polyp segmentation, Biomedical Signal
Processing and Control, vol. 100, part A, 106978, pp. 1-12, February 2025.
32.
A.S.S. Reddy
and R.B. Pachori, Dynamic mode decomposition-based technique for cross-term
suppression in the Wigner-Ville distribution, Digital Signal Processing, vol.
156, part B, 104833, pp. 1-20, January 2025.
33.
S. Kumar, R.B.
Pachori, B. Deka, and S. Datta, Opportunities and challenges in deep compressed
sensing techniques for multichannel ECG data compression, SN Computer Science,
vol. 5, article number 1147, December 2024.
34.
S.I. Khan and
R.B. Pachori, Automated bundle branch block detection using multivariate
Fourier-Bessel series expansion-based empirical wavelet transform, IEEE
Transactions on Artificial Intelligence, vol. 5, issue 11, pp. 5643-5654,
November 2024.
35.
P.K. Chaudhary
and R.B. Pachori, Differentiation of benign and malignant masses in mammogram
using 2D-Fourier-Bessel intrinsic band functions and improved feature space,
IEEE Transactions on Artificial Intelligence, vol. 5, issue 11, pp. 5442-5451,
November 2024.
36.
V.K. Singh and
R.B. Pachori, Detection of Alzheimers disease from
EEG signals using improved MChEVDHM-based rhythm
separation, IEEE Sensors Letters, vol. 8, issue 10, pp. 1-4, October 2024.
37.
T.K. Dutta,
D.R. Nayak, and R.B. Pachori, GT-Net: Global transformer network for multiclass
brain tumor classification using MR images, Biomedical Engineering Letters,
vol. 14, pp. 1069-1077, September 2024.
38.
A. Nalwaya, M.S. Manikandan, and R.B. Pachori, Signal
quality-aware frequency demodulation-based ECG-derived respiration rate
estimation method with reduced false alarms, IEEE Sensors Letters, vol. 8,
issue 9, 7004604, pp. 1-4, September 2024.
39.
K.K. Makam,
V.K. Singh, and R.B. Pachori, ALS detection framework based on automatic
singular spectrum analysis and quantum convolutional neural network from EMG
signals, IEEE Sensors Letters, vol. 8, issue 9, 6012004, pp. 1-4, September
2024.
40.
H. Singh, M.S.
Manikandan, and R.B. Pachori, Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health
monitoring, Biomedical Signal Processing and Control, vol. 95, part A, 106423,
pp. 1-17, September 2024.
41.
S.V. Bhalerao
and R.B. Pachori, Automated classification of cognitive visual objects using
multivariate swarm sparse decomposition from multichannel EEG-MEG signals, IEEE
Transactions on Human-Machine Systems, vol. 54, issue 04, pp. 455-464, August
2024.
42.
N. Pusarla, A. Singh, S. Tripathi, A. Vujji,
and R.B. Pachori, Exploring CEEMDAN and LMD domains entropy features for
decoding EEG-based emotion patterns, IEEE Access, vol. 12, issue 2024, pp.
103606-103625, August 2024.
43.
K. Jyoti, M.K.
Gautam, S. Kumar, S. Sushma, R.B. Pachori, and S Mukherjee, Memristive
crossbar arraybased computing framework via DWT for
biomedical image enhancement, IEEE Transactions on Emerging Topics in
Computing, vol. 12, issue 3, pp. 766-779, July 2024.
44.
V.K. Singh and
R.B. Pachori, Multichannel eigenvalue decomposition of Hankel matrix based classification of eye movements from
electrooculogram, IEEE Sensors Letters, vol. 8,
6008204, pp. 2475-1472, July 2024.
45.
A. Nalwaya, K. Das, and R.B. Pachori, An automated framework
for human emotion detection from multichannel EEG signals, IEEE Sensors
Journal, vol. 24, issue 13, pp. 20920-20927, July 2024.
46.
A. Mondal, M.S.
Manikandan, and R.B. Pachori, Automatic ECG signal quality determination using
CNN with optimal hyperparameters for quality-aware deep ECG analysis systems,
IEEE Sensors Journal, vol. 24, issue 11, pp. 17825-17833, June 2024.
47.
D. Das, D.R.
Nayak, and R.B. Pachori, AES-Net: An adapter and enhanced self-attention guided
network for multi-stage glaucoma classification using fundus images, Image and
Vision Computing, vol. 146, 105042, pp. 1-11, June 2024.
48.
V. Paliwal, K.
Das, S.M. Doesburg, G. Medvedev, P. Xi, U. Ribary,
R.B. Pachori, and V.A. Vakorin, Classifying routine
clinical electroencephalograms with multivariate iterative filtering and
convolutional neural networks, IEEE Transactions on Neural Systems and
Rehabilitation Engineering, vol. 32, pp. 2038-2048, May 2024.
49.
K. Radha, M.
Bansal, and R.B. Pachori, Speech and speaker recognition using raw waveform
modeling for adult and childrens speech: A
comprehensive review, Engineering Applications of Artificial Intelligence, vol.
131, 107661, pp. 1-23, May 2024.
50.
V.K. Kashyap,
R.R. Sharma, and R.B. Pachori, Complex flexible analytic wavelet transform for UAV state identification using RF signal, IEEE
Transactions on Aerospace and Electronic Systems, vol. 60, issue 2, pp.
1471-1481, April 2024.
51.
K. Radha, M.
Bansal, and R.B. Pachori, Automatic speaker and age identification of children
from raw speech using SincNet over ERB scale, Speech
Communication, vol. 159, 103069, pp. 1-12, April 2024.
52.
K. Das and R.B.
Pachori, Multivariate iterative filtering based SSVEP detection in mobile
environment for brain-computer interface application, IEEE Sensors Letters,
vol. 8, issue 4, 6003604, April 2024.
53.
A. Mondal, M.S.
Manikandan, and R.B. Pachori, Fast CNN based electrocardiogram signal quality
assessment using Fourier magnitude spectrum for resource-constrained ECG
diagnosis devices, IEEE Sensors Letters, vol. 8, issue 4, 7002004, April 2024.
54.
N. Phukan, M.S.
Manikandan, and R.B. Pachori, Fast and resource efficient atrial fibrillation
detection framework for long term health monitoring devices, IEEE Sensors
Letters, vol. 8, issue 4, 7001704, April 2024.
55.
A. Anuragi,
D.S. Sisodia, and R.B. Pachori, Mitigating the curse of dimensionality using
feature projection techniques on electroencephalography datasets: An
empirical review, Artificial Intelligence Review, vol. 57, 75, pp. 1-28,
February 2024.
56.
A.S.S. Reddy
and R.B. Pachori, Multivariate dynamic mode decomposition for automatic
imagined speech recognition using multichannel EEG signals, IEEE Sensors
Letters, vol. 8, issue 2, 6001604, February 2024.
57.
A. Nalwaya and R.B. Pachori, Fourier-Bessel domain adaptive
wavelet transform based method for emotion
identification from EEG signals, IEEE Sensors Letters, vol. 8, issue 2,
7000904, pp. 1-4, February 2024.
58.
S.V. Bhalerao
and R.B. Pachori, Clustering sparse
swarm decomposition for automated recognition of upper limb movements from
non-homogeneous cross-channel EEG signals, IEEE Sensors Letters, vol. 8, issue
1, 7000804, pp. 1-4, January 2024.
59.
A. Nishad and
R.B. Pachori, Classification of epileptic electroencephalogram signals using
tunable-Q wavelet transform based filter-bank, Journal of Ambient Intelligence
and Humanized Computing, vol. 15, pp. 877-891, January 2024.
60.
A. Nishad, R.B.
Pachori, and U.R. Acharya, Application of TQWT filter-bank for sleep apnea
screening using ECG signals, Journal of Ambient Intelligence and Humanized
Computing, vol. 15, pp. 893-904, January 2024.
61.
L. Dora, S.
Agrawal, R. Panda, and R.B. Pachori, Pathological brain classification using
multiple kernel-based deep convolutional neural network, Neural Computing and
Applications, vol. 36, pp. 747-756, January 2024.
62.
S. Mahapatra,
S. Agrawal, P.K. Mishro, R. Panda, L. Dora, and R.B. Pachori, A review on
retinal blood vessel enhancement and segmentation techniques for color fundus
photography, Critical Reviews in Biomedical Engineering, vol. 52, issue 01, pp.
41-69, 2024.
63.
N. Phukan, M.S.
Manikandan, and R.B. Pachori, AFibri-Net: A
lightweight convolution neural network based atrial fibrillation detector, IEEE
Transactions on Circuits and Systems I: Regular Papers, vol. 70, issue 12, pp.
4962-4974, December 2023.
64.
R. Krishna, K.
Das, H.K. Meena, and R.B. Pachori, Spectral graph wavelet transform
based feature representation for automated classification of emotions from EEG
signal, IEEE Sensors Journal, vol. 23, issue 24, pp. 31229-31236, December
2023.
65.
V.G. Yamalakonda, R.B. Pachori, B. Appina, and A.K. Singh,
Embedded cubature Kalman filter for glucose and insulin concentration
estimation using noisy glucose sensor data and multiple meal disturbances, IEEE
Sensors Letters, vol. 7, issue 12, 7007204, December 2023.
66.
G. Kumar, A.K.
Naik, R.B. Pachori, R. Swaminathan, and A.K. Singh, Improved Gaussian filtering
for handling concurrent delayed and missing measurements, Asian Journal of
Control, vol. 25, issue 6, pp. 4244-4256, November 2023.
67.
N.P. Guhan
Seshadri, B.K. Singh, and R.B. Pachori, EEG based functional brain network
analysis and classification of dyslexic children during sustained attention
task, IEEE Transactions on Neural Systems & Rehabilitation Engineering,
vol. 31, pp. 4672-4682, November 2023.
68.
D.S. Ramteke,
A. Parey, and R.B. Pachori, A new automated classification framework for gear
fault diagnosis using Fourier-Bessel domain based empirical wavelet transform,
Machines, vol. 11 (12), 1055, pages 17, November 2023.
69.
R. Dubey, R.R.
Sharma, A. Upadhyay, and R.B. Pachori, Automated variational nonlinear chirp
mode decomposition for bearing fault diagnosis, IEEE Transactions on Industrial
Informatics, vol. 19, issue 11, pp. 10873-10882, November 2023.
70.
D. Das, D.R.
Nayak, and R.B. Pachori, CA-Net: A novel cascaded attention-based network for
multi-stage glaucoma classification using fundus images, IEEE Transactions on
Instrumentation & Measurement, Vol. 72, 2531110, pp. 1-10, October 2023.
71.
A.K.R. Poreddy, R.B.C. Ganeswaram, B.
Appina, P. Kokil, and R.B. Pachori, No-reference virtual reality image quality
evaluator using global and local natural scene statistics, IEEE Transactions on
Instrumentation and Measurement, vol. 72, issue 5029816, pp. 1-16, October
2023.
72.
V.G. Yamalakonda, G. Kumar, R.B. Pachori, and A.K. Singh,
Oscillatory Kalman filtering for Duffing, Coulomb, and Van der Pol oscillators,
Signal Processing, vol. 211, 109091, pp. 1-9, October 2023.
73.
A. Gade, D.K.
Dash, T.M. Kumari, S.K. Ghosh, R.K. Tripathy, and R.B. Pachori, Multiscale
analysis domain interpretable deep neural network for detection of breast
cancer using thermogram images, IEEE Transactions on Instrumentation and
Measurement, vol. 72, 4011213, pp. 1-13, September 2023.
74.
K. Das and R.B.
Pachori, Electroencephalogram based motor imagery brain computer interface
using multivariate iterative filtering and spatial filtering, IEEE Transactions
on Cognitive and Developmental Systems, vol. 15, issue 03, pp. 1408-1418,
September 2023.
75.
A.
Bhattacharyya, V. Aarushi, R. Ranta, and R.B. Pachori, Ocular artifacts
elimination from multivariate EEG signal using frequency-spatial filtering,
IEEE Transactions on Cognitive and Developmental Systems, vol. 15, issue 03,
pp. 1547-1559, September 2023.
76.
N. Ghassemi, A.
Shoeibi, M. Khodatars, J.
Heras, A. Rahimi, A. Zare, Y. Zhang, R.B. Pachori, and J. M. Gorriz, Automated diagnosis of COVID-19 from CT images
using CycleGAN and transfer learning, Applied Soft
Computing, vol. 144, 110511, pp. 1-15, September 2023.
77.
K. Atrey, B.K.
Singh, N.K. Bodhey, and R.B. Pachori, Mammography and
ultrasound based dual modality classification of breast cancer using a hybrid
deep learning approach, Biomedical Signal Processing and Control, vol. 86, part
A, 104919, pp. 1-15, September 2023.
78.
Y.S. Upendra
Vishwanath, S. Esakkirajan, B. Keerthiveena,
and R.B. Pachori, A generalized classification framework for power quality
disturbances based on synchrosqueezed wavelet transform and convolutional
neural networks, IEEE Transactions on Instrumentation & Measurement, vol.
72, 2525313, pp. 1-13, August 2023.
79.
P. Saideepthi, P. Gaur, A. Chowdhury, and R.B. Pachori, Sliding window along with EEGNet
based prediction of EEG motor imagery, IEEE Sensors Journal, vol. 23, issue 15,
pp. 17703-17713, August 2023.
80.
S. Dash,
P. Gajbhiye, P. Sawangjai,
G. Sawadwuthikul, T. Sudhawiyangkul, R.K.
Tripathy, and R.B. Pachori, Dyadic boundary points based empirical wavelet
transform for the elimination of eye movement and eye blink-based ocular
artifacts from EEG signals, Biomedical Signal Processing and Control, vol. 85,
104996, pp. 1-13, August 2023.
81.
R.K. Tripathy,
D.K. Dash, S.K. Ghosh, and R.B. Pachori, Detection of different stages of
anxiety from single channel wearable ECG sensor signal using Fourier-Bessel
domain adaptive wavelet transform, IEEE Sensors Letters, vol. 7, issue 5,
7002304, pp. 1-4, May 2023.
82.
A. Anuragi,
D.S. Sisodia, and R.B. Pachori, Classification of focal and non-focal EEG
signals using optimal geometrical features derived from a second-order
difference plot of FBSE-EWT rhythms, Artificial Intelligence in Medicine, vol.
139, 102542, pp. 1-14, May 2023.
83.
P. Sharma, A.
Gautam, P. Maji, R.B. Pachori, and B.K. Balabantaray, Li-SegPNet:
Encoder decoder mode lightweight segmentation network for colorectal polyps analysis, IEEE Transactions on Biomedical
Engineering, vol. 70, issue 04, pp. 1330-1339, April 2023.
84.
S.I. Khan and
R.B. Pachori, Automated eye movement classification based on EMG of EOM signals
using FBSE-EWT technique, IEEE Transactions on Human-Machine Systems, vol.
53, issue 02, pp. 346-356, April 2023.
85.
P.K. Chaudhary,
V. Gupta, and R.B. Pachori, Fourier-Bessel representation for signal
processing: A review, Digital Signal Processing, vol. 135, 103938, pp. 1-23,
April 2023.
86.
N.P.G.
Seshadri, S. Agrawal, B.K. Singh, B. Geethanjali, V. Mahesh, and R.B. Pachori,
EEG based classification of children with learning disabilities using shallow
and deep neural network, Biomedical Signal Processing and Control, vol. 82,
104553, pp. 1-12, April 2023.
87.
S. Bhaskarpandit, A. Gade, S. Dash, D.K. Dash, R.K. Tripathy,
and R.B. Pachori, Detection of myocardial infarction from 12-lead ECG trace
images using eigendomain deep representation
learning, IEEE Transactions on Instrumentation & Measurement, vol. 72,
4001812, pp. 1-12, February 2023.
88.
K. Jyoti, S.
Sushma, S. Yadav, P. Kumar, R.B. Pachori, and S. Mukherjee, Automatic diagnosis
of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images,
Computers in Biology and Medicine, vol. 152, 106331, pp. 1-11, January 2023.
89.
S.R. Nayak,
D.R. Nayak, U. Sinha, V. Arora, and R.B. Pachori, An
efficient deep learning method for detection of COVID-19 infection using chest
X-ray images, Diagnostics, vol. 13 (1), 131, pp. 1-17, December 2022.
90.
P. Moridian, A. Shoeibi, M. Khodatars, M. Jafari, R.B. Pachori, A. Khadem, R. Alizadehsani, and S.H. Ling, Automatic diagnosis of sleep
apnea from biomedical signals using artificial intelligence techniques:
Methods, challenges, and future works, WIREs Data Mining and Knowledge
Discovery, vol. 12, issue 6, e1478, November/December 2022.
91.
S. Dash, R.K.
Tripathy, D.K. Dash, G. Panda, and R.B. Pachori, Multiscale domain gradient
boosting models for the automated recognition of imagined vowels using
multichannel EEG signals, IEEE Sensors Letters, vol. 6, issue 11, 7004804, pp.
1-4, November 2022.
92.
N. Phukan, S. Mohine, A. Mondal, M.S. Manikandan, and R.B. Pachori,
Convolutional neural network-based human activity recognition for edge fitness
and context-aware health monitoring devices, IEEE Sensors Journal, vol. 22,
issue 22, pp. 21816-21826, November 2022.
93.
A. Nalwaya, K. Das, and R.B. Pachori, Automated emotion
identification using Fourier-Bessel domain-based entropies, Entropy, vol. 24
(10), 1322, pages 22, September 2022.
94.
G. Kumar, P.
Date, R.B. Pachori, R. Swaminathan, and A.K. Singh, Wrapped particle filtering
for angular data, IEEE Access, vol. 10, pp. 90287-90298, August 2022.
95.
B. Fatimah, P.
Singh, A. Singhal, and R.B. Pachori, Biometric identification from ECG signals
using Fourier decomposition and machine learning, IEEE Transactions on
Instrumentation and Measurement, vol. 71, 4008209, pp. 1-9, August 2022.
96.
A. Anuragi,
D.S. Sisodia, R.B. Pachori, EEG-based cross-subject emotion recognition using
Fourier-Bessel series expansion based empirical wavelet transform and NCA
feature selection method, Information Sciences, vol. 610, pp. 508-524,
September 2022.
97.
P. Gaur, A. Chowdhury,
K. McCreadie, R.B. Pachori, and H. Wang, Logistic regression with tangent space
based cross-subject learning for enhancing motor imagery classification, IEEE
Transactions on Cognitive and Developmental Systems, vol. 14, issue 03, pp.
1188-1197, September 2022.
98.
S. Mahapatra,
S. Agrawal, P.K. Mishro, and R.B. Pachori, A novel framework for retinal vessel
segmentation using optimal improved Frangi filter and
adaptive weighted spatial FCM, Computers in Biology and Medicine, vol. 147,
105770, pp. 1-12, August 2022.
99.
S.V. Bhalerao
and R.B. Pachori, Sparse spectrum based swarm
decomposition for robust nonstationary signal analysis with application to
sleep apnea detection from EEG, Biomedical Signal Processing and Control, vol.
77, 103792, pp. 1-17, August 2022.
100. S.K. Ghosh, R.N. Ponnalagu, R.K. Tripathy, G. Panda,
and R.B. Pachori, Automated heart sound activity detection from PCG signal
using time-frequency domain deep neural network, IEEE Transactions on
Instrumentation & Measurement, vol. 71, 4006710, July 2022.
101. G. Kaushik, P. Gaur, R.R. Sharma, and R.B. Pachori,
EEG signal based seizure detection focused on Hjorth
parameters from tunable-Q wavelet sub-bands, Biomedical Signal Processing and
Control, vol. 76, 103645, pp. 1-8, July 2022.
102. A. Panda, R.B. Pachori, N. Kakkar, M. Joseph John, and
N.D. Sinnappah-Kang, Screening chronic myeloid
leukemia neutrophils using a novel 3- dimensional spectral gradient mapping
algorithm on hyperspectral images, Computer Methods and Programs in
Biomedicine, vol. 220, 106836, pp. 1-10, June 2022.
103. R.K. Tripathy, S. Dash, A. Rath, G. Panda, and R.B.
Pachori, Automated detection of pulmonary diseases from lung sound signals
using fixed boundary based empirical wavelet transform, IEEE Sensors Letters,
vol. 6, issue 5, 7001504, pp. 1-4, May 2022.
104. S.I. Khan, S.M. Qaisar, and R.B. Pachori, Automated
classification of valvular heart diseases using FBSE-EWT and PSR based
geometrical features, Biomedical Signal Processing and Control, vol. 73,
103445, pp. 1-17, March 2022.
105. S. Dash, R.K. Tripathy, G. Panda, and R.B. Pachori,
Automated recognition of imagined commands from EEG signals using multivariate
fast and adaptive empirical mode decomposition based
method, IEEE Sensors Letters, vol. 6, issue 02, 7000504, pp. 1-4, February
2022.
106. V. Gupta and R.B. Pachori, FB dictionary based SSBL-EM
and its application for multi-class SSVEP classification using eight-channel
EEG signals, IEEE Transactions on Instrumentation & Measurement, vol. 71,
4002508, pp.1-8, February 2022.
107. A. Tiwari, R.B. Pachori, and P.K. Sanjram,
Dimensionality and angular disparity influence mental rotation in computer
gaming, Computers, Materials & Continua, vol. 72, no. 01, pp. 887-905,
February 2022.
108. P.K. Chaudhary and R.B. Pachori, Automatic diagnosis
of different grades of diabetic retinopathy and diabetic macular edema using
2D-FBSE-FAWT, IEEE Transactions on Instrumentation and Measurement, vol. 71,
5001109, pp. 1-9, January 2022.
109. A. Bhattacharyya, D. Bhaik,
S. Kumar, P. Thakur, R. Sharma, and R.B. Pachori, A deep learning based
approach for automatic detection of COVID-19 cases using chest X-ray images,
Biomedical Signal Processing and Control, vol. 71, part B, 103182, pp.
1-13, January 2022.
110. A. Anuragi, D. Sisodia, and R.B. Pachori,
Epileptic-seizure classification using phase-space representation of FBSE-EWT
based EEG sub-band signals and ensemble learners, Biomedical Signal Processing
and Control, vol. 71, part A, 103138, pp. 1-11, January 2022.
111. R. Dubey, M. Kumar, A. Upadhyay, and R.B. Pachori,
Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method, Biomedical Signal Processing and
Control, vol. 71, part A, 103098, pp. 1-9, January 2022.
112. P. Gaur, V. Malaviya, A. Gupta, G. Bhatia, R.B.
Pachori, and D. Sharma, COVID-19 disease identification from chest CT images
using empirical wavelet transformation and transfer learning, Biomedical Signal
Processing and Control, vol. 71, part A, 103076, pp. 1-8, January,
2022.
113. A. Tiwari, R.B. Pachori, and P.K. Sanjram,
Dorsal-ventral visual pathways and object characteristics: Beamformer source
analysis of EEG, Computers, Materials & Continua, vol. 70, no. 02, pp.
2347-2363, January 2022.
114. A. Tiwari, R.B. Pachori, and P.K. Sanjram,
Isomorphic 2D/3D objects and saccadic characteristics in mental rotation,
Computers, Materials & Continua, vol. 70, no. 01, pp. 433-450, January, 2022.
115. V.K. Singh and R.B. Pachori, Sliding
eigenvalue decomposition based cross-term suppression in Wigner-Ville
distribution, Journal of Computational Electronics, vol. 20, pp. 2245-2254,
December 2021.
116. S.I. Khan and R.B. Pachori, Automated classification
of lung sound signals based on empirical mode decomposition, Expert Systems
with Applications, vol. 184, 115456, pp. 1-14, December 2021.
117. D.S. Ramteke, R.B. Pachori, and A. Parey, Automated
gearbox fault diagnosis using entropy-based features in flexible analytic
wavelet transform (FAWT) domain, Journal of Vibration Engineering &
Technologies, vol. 09, pp. 1703-1713, October 2021.
118. S.I. Khan and R.B. Pachori, Derived vectorcardiogram
based automated detection of posterior myocardial infarction using FBSE-EWT
technique, Biomedical Signal Processing and Control, vol. 70, 103051, pp. 1-12,
September 2021.
119. A. Panda, R.B. Pachori, and N.D. Sinnappah-Kang,
Classification of chronic myeloid leukemia neutrophils by hyperspectral imaging
using Euclidean and Mahalanobis distances, Biomedical
Signal Processing and Control, vol. 70, 103025, pp. 1-7, September 2021.
120. A. Anuragi, D.S. Sisodia, and R.B. Pachori, Automated
FBSE-EWT based learning framework for detection of epileptic seizures using
time-segmented EEG signals, Computers in Biology and Medicine, vol. 136,
104708, pp. 1-16, September 2021.
121. P.K. Chaudhary and R.B. Pachori, FBSED based automatic
diagnosis of COVID-19 using X-ray and CT images, Computers in Biology and
Medicine, vol. 134, 104454, pp. 1-13, July 2021.
122. B. Fatimah, P. Singh, A. Singhal, D. Pramanick, S. Pranav, and R.B. Pachori, Efficient detection
of myocardial infarction from single lead ECG signal, Biomedical Signal
Processing and Control, vol. 68, 102678, pp. 1-9, July 2021.
123. P. Gaur, K. McCreadie, R.B. Pachori, H. Wang, and G.
Prasad, An automatic subject specific channel selection
method for enhancing motor imagery classification in EEG-BCI using correlation,
Biomedical Signal Processing and Control, vol. 68, 102574, pp. 01-08, July
2021.
124. V.K. Mehla, A. Singhal, P.
Singh, and R.B. Pachori, An efficient method for
identification of epileptic seizures from EEG signals using Fourier analysis,
Physical and Engineering Sciences in Medicine, vol. 44, pp. 443-456, June 2021.
125. R. Shukla, P.K. Kankar, and R.B. Pachori, Automated
bearing fault classification based on discrete wavelet transform method, Life
Cycle Reliability and Safety Engineering, vol. 10, pp. 99-111, June 2021.
126. S.I. Khan and R.B. Pachori, Automated detection of
posterior myocardial infarction from vectorcardiogram signals using
Fourier-Bessel series expansion based empirical wavelet transform, IEEE Sensors
Letters, vol. 5, issue 5, pp. 1-4, May 2021.
127. K. Das and R.B. Pachori, Schizophrenia detection
technique using multivariate iterative filtering and multichannel EEG signals,
Biomedical Signal Processing and Control, vol. 67, 102525, pp. 01-10, May 2021.
128. B. Fatimah, P. Singh, A. Singhal, and R.B. Pachori,
Hand movement recognition from sEMG signals using
Fourier decomposition method, Biocybernetics and Biomedical Engineering, vol.
41, issue 02, pp. 690-703, April-June 2021.
129. A. Singhal, M. Agarwal, and R.B. Pachori, Directional
local ternary co-occurrence pattern for natural image retrieval, Multimedia
Tools and Applications, vol. 80, pp. 15901-15920, April 2021.
130. R. Panda, S. Jain, R.K. Tripathy, R.R. Sharma, and
R.B. Pachori, Sliding mode singular spectrum analysis for the elimination of
cross-terms in Wigner-Ville distribution, Circuits, Systems, and Signal
Processing, vol. 40, pp. 1207-1232, March 2021.
131. P. Gaur, H. Gupta, A. Chowdhury, K. McCreadie, R.B.
Pachori, and H. Wang, A sliding window common spatial pattern for enhancing
motor imagery classification in EEG-BCI, IEEE Transactions on Instrumentation
and Measurement, vol. 70, 4002709, pp. 1-9, February 2021.
132. A. Bhattacharyya, R.K. Tripathy, L. Garg, and R.B.
Pachori, A novel multivariate-multiscale approach for computing EEG spectral
and temporal complexity for human emotion recognition, IEEE Sensors Journal,
vol. 21, no. 3, pp. 3579-3591, February 2021.
133. S.R. Nayak, D.R. Nayak, U. Sinha, V. Arora, and R.B.
Pachori, Application of deep learning techniques for detection of COVID-19
cases using chest X-ray images: A comprehensive study, Biomedical Signal
Processing and Control, vol. 64, 102365, pp. 1-12, February 2021.
134. V. Gupta and R.B. Pachori, FBDM based time-frequency
representation for sleep stages classification using EEG signals, Biomedical
Signal Processing and Control, vol. 64, 102265, pp. 1-16, February 2021.
135. P.K. Chaudhary and R.B. Pachori, Automatic diagnosis
of glaucoma using two-dimensional Fourier-Bessel series expansion based
empirical wavelet transform, Biomedical Signal Processing and Control, vol. 64,
102237, pp. 1-17, February 2021.
136. R.U. Khan, M. Tanveer, R.B. Pachori, and ADN
Initiative (ADNI), A novel method for the classification of Alzheimer's disease
from normal controls using magnetic resonance imaging, Expert Systems, vol. 38,
01, e12566, January, 2021.
137. A. Upadhyay, M. Sharma, R.B. Pachori, and R. Sharma, A
non-parametric approach for multicomponent AM-FM signal analysis, Circuits,
Systems, and Signal Processing, vol. 39, pp. 6316-6357, December 2020.
138. A. Gupta, R.U. Khan, V.K. Singh, M. Tanveer, D. Kumar,
A. Chakraborti, and R.B. Pachori, A novel approach for classification of mental
tasks using multiview ensemble learning (MEL),
Neurocomputing, vol. 417, pp. 558-584, December 2020.
139. A. Singhal, R. Shukla, P.K. Kankar, S. Dubey, S.
Singh, and R.B. Pachori, Comparing the capabilities of transfer learning models
to detect skin lesion in humans, Proceedings of the Institution of Mechanical
Engineers, Part H: Journal of Engineering in Medicine, vol. 234, issue 10, pp.
1083-1093, October 2020.
140. T. Siddharth, P. Gajbhiye,
R.K. Tripathy, and R.B. Pachori, EEG based detection of focal seizure area
using FBSE-EWT rhythm and SAE-SVM network, IEEE Sensors Journal, vol. 20, issue
19, pp. 11421-11428, October 2020.
141. V. Gupta and R.B. Pachori, Classification of focal EEG
signals using FBSE based flexible time-frequency coverage wavelet transform,
Biomedical Signal Processing and Control, vol. 62, 102124, pp. 1-9, September
2020.
142. H. Singh, R.K. Tripathy, and R.B. Pachori, Detection
of sleep apnea from heart beat interval and ECG
derived respiration signals using sliding mode singular spectrum analysis,
Digital Signal Processing, vol. 104, 102796, pp. 1-13, September 2020.
143. B. Fatimaha, P. Singh, A.
Singhal, and R.B. Pachori, Detection of apnea events from ECG segments using
Fourier decomposition method, Biomedical Signal Processing and Control, vol.
61, 102005, pp. 1-10, August 2020.
144. J.A. de la O Sema, M.R.A. Patemina,
A.Z. Mendez, R.K. Tripathy, and R.B. Pachori, EEG-rhythm specific
Taylor-Fourier filter bank implemented with O-splines for the detection of
epilepsy using EEG signals, IEEE Sensors Journal, vol. 20, issue 02, pp.
6542-6551, June 2020.
145. R. Sharma, R.B. Pachori, and P. Sircar, Seizures
classification based on higher order statistics and deep neural network,
Biomedical Signal Processing and Control, vol. 59, 101921, May 2020.
146. A.K. Shukla, R.K. Pandey, and R.B. Pachori, A
fractional filter based efficient algorithm for retinal blood vessel
segmentation, Biomedical Signal Processing and Control, vol. 59, 101883, May
2020.
147. A. Anuragi, D. Sisodia, and R.B. Pachori, Automated
alcoholism detection using Fourier-Bessel series expansion based empirical
wavelet transform, IEEE Sensors Journal, vol. 20, issue 09, pp. 4914-4924, May
2020.
148. P. Gajbhiye, R.K. Tripathy,
and R.B. Pachori, Elimination of ocular artifacts from single channel EEG
signals using FBSE-EWT based rhythms, IEEE Sensors Journal, vol. 20, issue 07,
pp. 3687-3696, April 2020.
149. R. Sharma, R.B. Pachori, and P. Sircar, Automated
emotion recognition based on higher order statistics and deep learning
algorithm, Biomedical Signal Processing and Control, vol. 58, 101867, pp. 1-10,
April 2020.
150. D.R. Nayak, R. Dash, B. Majhi, R.B. Pachori, and Y.
Zhang, A deep stacked random vector functional link network autoencoder for
diagnosis of brain abnormalities and breast cancer, Biomedical Signal
Processing and Control, vol. 58, 101860, pp. 1-11, April 2020.
151. S. Madhavan, R.K. Tripathy, and R.B. Pachori,
Time-frequency domain deep convolutional neural network for the classification
of focal and non-focal EEG signals, IEEE Sensors Journal, vol. 20, issue 06,
pp. 3078-3086, March 2020.
152. R. Sharma, P. Sircar, and R.B. Pachori, Automated
focal EEG signal detection based on third order cumulant function, Biomedical
Signal Processing and Control, vol. 58, 101856, pp. 1-8, April 2020.
153. R.R. Sharma, A. Kalyani, and R.B. Pachori, An empirical wavelet transform
based approach for cross-terms free Wigner-Ville distribution, Signal, Image,
and Video Processing, vol. 14, pp. 249-256, March 2020.
154. A. Singhal, P. Singh, B. Fatimah, and R.B. Pachori, An efficient removal of powerline interference and baseline
wander from ECG signals by employing Fourier decomposition technique,
Biomedical Signal Processing and Control, vol. 57, 101741, pp. 1-8, March 2020.
155. A.K. Shukla, R. Pandey, S. Yadav, and R.B. Pachori, Generalized fractional filter based
algorithm for image denoising, Circuits, Systems, and Signal Processing, vol.
39, issue 01, pp. 363-390, January 2020.
156. D.S. Ramteke, A. Parey, and R.B. Pachori, Automated
gear fault detection of micron level wear in bevel gears using variational mode
decomposition, Journal of Mechanical Science and Technology, vol. 33, no. 12,
pp. 5769-5777, December 2019.
157. P. Gaur, K. McCreadie, R.B. Pachori, H. Wang, and G.
Prasad, Tangent space features based transfer
learning classification model for two-class motor imagery brain-computer
interface, International Journal of Neural Systems, vol. 29, no. 10,
1950025, December 2019.
158. T. Siddharth, R.K. Tripathy, and R.B. Pachori,
Discrimination of focal and non-focal seizures from EEG signals using sliding
mode singular spectrum analysis, IEEE Sensors Journal, vol. 19, issue 24, pp.
12286-12296, December 2019.
159. S.K. Ghosh, R.K. Tripathy, R.N. Ponnalagu, and R.B.
Pachori, Automated detection of heart valve disorders from PCG signal using
time-frequency magnitude and phase features, IEEE Sensors Letters, vol. 3,
issue 12, pp. 1-4, December 2019.
160. R.K. Tripathy, A. Bhattacharyya, and R.B. Pachori,
Localization of myocardial infarction from multi lead electrocardiogram signals
using multiscale convolution neural network, IEEE Sensors Journal, vol. 19, no.
23, pp. 11437-11448, December 2019.
161. D.K. Agrawal, B.S. Kirar, and R.B.
Pachori, Automated glaucoma detection using quasi-bivariate variational
mode decomposition from fundus images, IET Image Processing, vol. 13,
issue 13, pp. 2401-2408, November 2019.
162. P. Gajbhiye, R.K. Tripathy,
A. Bhattacharyya, and R.B. Pachori, Novel approaches for the removal of motion
artifact from EEG recordings, IEEE Sensors Journal, vol. 19, issue 02, pp.
10600-10608, November 2019.
163. V. Gupta and R.B. Pachori, Epileptic seizure
identification using entropy of FBSE based EEG rhythms, Biomedical Signal
Processing and Control, vol. 53, 101569, pp. 1-11, August 2019.
164. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An automatic subject specific intrinsic mode function
selection for enhancing two-class EEG based motor imagery-brain computer
interface, IEEE Sensors Journal, vol. 19, no. 16, pp. 6938-6947, August
2019.
165. R. Katiyar, V. Gupta, and R.B. Pachori, FBSE-EWT-based
approach for the determination of respiratory rate from PPG signals, IEEE
Sensors Letters, vol. 03, no. 07, 7001604, July 2019.
166. A. Bhattacharyya, R. Ranta, S. Le Cam, V. Louis-Dorr,
L. Tyvaert, S. Colnat-Coulbois,
L. Maillard, and R. B. Pachori, A multi-channel approach for cortical
stimulation artefact suppression in depth EEG signals using time-frequency and
spatial filtering, IEEE Transactions on Biomedical Engineering, vol. 66,
issue 07, pp. 1915-1926, July 2019.
167. R.K. Tripathy, A. Bhattacharyya, and R.B.
Pachori, A novel approach for detection of myocardial infarction from ECG
signals of multiple electrodes, IEEE Sensors Journal, vol. 19, issue 12,
pp. 4509-4517, June 2019.
168. R.R. Sharma, M. Kumar, and R.B. Pachori, Joint
time-frequency domain based CAD disease sensing system
using ECG signals, IEEE Sensors Journal, vol. 09, no. 10, pp. 3912-3920,
May 2019.
169. R.R. Sharma, A. Kumar, R.B. Pachori, and U.R.
Acharya, Accurate automated detection of congestive heart failure using
eigenvalue decomposition based features extracted from
HRV signals, Biocybernetics and Biomedical Engineering, vol. 39, issue 02,
pp. 312-327, April 2019.
170. A. Nishad, R.B. Pachori, and U.R.
Acharya, Automated classification of hand movements using tunable-Q
wavelet transform based filter-bank with surface electromyogram
signals, Future Generation Computer Systems, vol. 93, pp. 96-110, April
2019.
171. V. Gupta, M.D. Chopda, and
R.B. Pachori, Cross-subject emotion recognition using flexible analytic
wavelet transform from EEG signals, IEEE Sensors Journal, vol. 19, no. 06,
pp. 2266-2274, March 2019.
172. R. Sharma, P. Sircar, R.B. Pachori, S.V. Bhandary, and
U.R. Acharya, Automated glaucoma detection using center slice of higher
order statistics, Journal of Mechanics in Medicine and Biology, vol. 19,
no. 01, 1940011, February 2019.
173. R. Sharma, P. Sircar, and R.B. Pachori, A new
technique for classification of focal and non-focal EEG signals using higher
order spectra, Journal of Mechanics in Medicine and Biology, vol. 19, no.
01, 1940010, February 2019.
174. S. Maheshwari, V. Kanhangad,
R.B. Pachori, S.V. Bhandary, and U.R. Acharya, Automated glaucoma
diagnosis using bit-plane slicing and local binary pattern
techniques, Computers in Biology and Medicine, vol. 105, pp. 72-80,
February 2019.
175. R.R. Sharma, P. Varshney, R.B. Pachori, and S.K.
Vishvakarma, Automated system for epileptic EEG detection using iterative
filtering, IEEE Sensors Letters, vol. 02, issue 04, article sequence no.
7001904, December 2018.
176. R.R. Sharma and R.B. Pachori, Improved eigenvalue
decomposition-based approach for reducing cross-terms in Wigner-Ville
distribution, Circuits, Systems, and Signal Processing, vol. 37, issue 08,
pp. 3330-3350, August 2018.
177. R.R. Sharma and R.B. Pachori, Baseline wander and
power line interference removal from ECG signals using eigenvalue
decomposition, Biomedical Signal Processing and Control, vol. 45, pp.
33-49, August 2018.
178. R.R. Sharma and R.B. Pachori, Eigenvalue
decomposition of Hankel matrix-based time-frequency representation of complex
signals, Circuits, Systems, and Signal Processing, vol. 37, issue 08,
pp. 3313-3329, August 2018.
179. D. Bhati, R.B. Pachori, M. Sharma, and V.M. Gadre,
Design of time-frequency localized two-band orthogonal wavelet filter banks,
Circuits, Systems and Signal Processing, vol. 37, issue 08, pp. 3295-3312,
August 2018.
180. A. Bhattacharyya, L. Singh, and R.B. Pachori,
Fourier-Bessel series expansion based empirical wavelet transform for analysis
of non-stationary signals, Digital Signal Processing, vol. 78, pp. 185-196,
July 2018.
181. M. Kumar, R.B. Pachori, and U.R.
Acharya, Automated diagnosis of atrial fibrillation ECG signals using
entropy features extracted from flexible analytic
wavelet transform, Biocybernetics and Biomedical Engineering, vol.
38, issue 03, pp. 564-573, May 2018.
182. M. Sharma, P. Sharma, R.B. Pachori, and U.R. Acharya,
Dual tree complex wavelet transform based features for
automated alcoholism identification, International Journal of Fuzzy Systems,
vol. 20, issue 04, pp. 1297-1308, April 2018.
183. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, A
multi-class EEG-based BCI classification using multivariate empirical mode
decomposition based filtering and Riemannian geometry, Expert Systems with
Applications, vol. 95, pp. 201-211, April 2018.
184. R.R. Sharma and R.B. Pachori, Time-frequency
representation using IEVDHM-HT with application to classification of epileptic
EEG signals, IET Science, Measurement & Technology, vol. 12, issue 01, pp.
72-82, January 2018.
185. M. Sharma and R.B. Pachori, A novel approach to detect
epileptic seizures using a combination of tunable-Q wavelet transform
and fractal dimension, Journal of Mechanics in Medicine and Biology, vol. 17,
no. 07, 1740003, 20 pages, November 2017.
186. P. Singh and R.B. Pachori, Classification of focal and
non-focal EEG signals using features derived from Fourier-based rhythms,
Journal of Mechanics in Medicine and Biology, vol. 17, no. 07, 1740002, 16
pages, November 2017.
187. R. Sharma, R.B. Pachori, and A. Upadhyay, Automatic
sleep stages classification based on iterative filtering of
electroencephalogram signals, Neural Computing and Applications, vol. 28, issue
10, pp. 2959-2978, October 2017.
188. D. Bhati, R.B. Pachori, and V.M. Gadre, A novel
approach for time-frequency localization of scaling functions and design of
three-band biorthogonal linear phase wavelet filter banks, Digital Signal
Processing, vol. 69, pp. 309-322, October 2017.
189. M. Kumar, R.B. Pachori, and U.R. Acharya, Automated
diagnosis of myocardial infarction ECG signals using sample entropy in flexible
analytic wavelet transform framework, Entropy, vol. 19 (9), 488, pages 14,
September 2017.
190. A. Bhattacharyya and R.B. Pachori, A multivariate
approach for patient specific EEG seizure detection using empirical wavelet
transform, IEEE Transactions on Biomedical Engineering, vol. 64, no. 09, pp.
2003-2015, September 2017.
191. S. Maheshwari, R.B. Pachori, V. Kanhangad,
S.V. Bhandary, and U.R. Acharya, Iterative variational mode decomposition based
automated detection of glaucoma using fundus images, Computers in Biology and
Medicine, vol. 88, pp. 142-147, September 2017.
192. M.K. Saxena, S.D.V.S. Jagannadha
Raju, R. Arya, R.B. Pachori, and S. Kher, Instantaneous area based on-line
detection of bend generated error in a Raman optical fiber distributed
temperature sensor, IEEE Sensors Letters, vol. 01, no. 4, 7000204, August 2017.
193. A. Upadhyay, M. Sharma, and R.B. Pachori,
Determination of instantaneous fundamental frequency of speech signals using
variational mode decomposition, Computers and Electrical Engineering, vol. 62,
pp. 630-647, August 2017.
194. A.K. Tiwari, R.B. Pachori, V. Kanhangad,
and B.K. Panigrahi, Automated diagnosis of epilepsy using key-points based
local binary pattern of EEG signals, IEEE Journal of Biomedical and Health
Informatics, vol. 21, issue 4, pp. 888-896, July 2017.
195. V. Gupta, T. Priya, R.B. Pachori, and U.R. Acharya,
Automated detection of focal EEG signals using features extracted from flexible
analytic wavelet transform, Pattern Recognition Letters, vol. 94, pp. 180-188,
July 2017.
196. M. Sharma, R.B. Pachori, and U.R. Acharya, A new
approach to characterize epileptic seizures using analytic time-frequency
flexible wavelet transform and fractal dimension, Pattern Recognition Letters,
vol. 94, pp. 172-179, July 2017.
197. M. Sharma, P.V. Achuth, R.B.
Pachori, and V.M. Gadre, A parametrization technique to design joint
time-frequency optimized discrete-time biorthogonal wavelet bases, Signal
Processing, vol. 135, pp. 107-120, June 2017.
198. R. Sharma, M. Kumar, R.B. Pachori, and U.R. Acharya,
Decision support system for focal EEG signals using tunable-Q wavelet
transform, Journal of Computational Science, vol. 20, pp. 52-60, May 2017.
199. S. Maheshwari, R.B. Pachori, and U.R. Acharya,
Automated diagnosis of glaucoma using empirical wavelet transform and
correntropy features extracted from fundus images, IEEE Journal of Biomedical
and Health Informatics, vol. 21, no. 03, pp. 803-813, May 2017.
200. M. Sharma, A. Dhere, R.B.
Pachori, and V.M. Gadre, Optimal duration-bandwidth localized antisymmetric
biorthogonal wavelet filters, Signal Processing, vol. 134, pp. 87-99, May 2017.
201. A. Bhattacharyya, R.B. Pachori, A. Upadhyay, and U.R.
Acharya, Tunable-Q wavelet transform based multiscale entropy
measure for automated classification of epileptic EEG signals, Applied
Sciences, vol. 7(4), 385, pages: 18, April 2017.
202. A.K. Tiwari, V. Kanhangad,
and R.B. Pachori, Histogram refinement for texture descriptor
based image retrieval, Signal Processing: Image Communication, vol. 53,
pp. 73-85, April 2017.
203. A. Bhattacharyya, R.B. Pachori, and U.R. Acharya,
Tunable-Q wavelet transform based multivariate
sub-band fuzzy entropy with application to focal EEG signal analysis, Entropy,
vol. 19 (3), 99, pages: 14, March 2017.
204. A. Upadhyay and R.B. Pachori, Speech enhancement based
on mEMD-VMD method, Electronics Letters, vol. 53,
issue 07, pp. 502-504, March 2017.
205. D. Bhati, M. Sharma, R.B. Pachori, and V.M. Gadre,
Time-frequency localized three-band biorthogonal wavelet filter bank using
semidefinite relaxation and nonlinear least squares with epileptic seizure EEG
signal classification, Digital Signal Processing, vol. 62, pp. 259-273, March
2017.
206. M. Kumar, R.B. Pachori, and U.R. Acharya, Use of
accumulated entropies for automated detection of congestive heart failure in
flexible analytic wavelet transform framework based on short-time HRV signals,
Entropy, 19 (3), 92, pages: 21, February 2017.
207. M. Sharma, A. Dhere, R.B.
Pachori, and U.R. Acharya, An automatic detection of
focal EEG signals using new class of time-frequency localized orthogonal
wavelet filter banks, Knowledge-Based Systems, vol. 118, pp. 217-227, February
2017.
208. S. Patidar, R.B. Pachori, A. Upadhyay, and U.R.
Acharya, An integrated alcoholic index using tunable-Q
wavelet transform based features extracted from EEG signals for diagnosis of
alcoholism, Applied Soft Computing, vol. 50, pp. 71-78, January 2017.
209. M. Kumar, R.B. Pachori, and U.R. Acharya,
Characterization of coronary artery disease using flexible analytic wavelet
transform applied on ECG signals, Biomedical Signal Processing and Control,
vol. 31, pp. 301-308, January 2017.
210. D. Bhati, M. Sharma, R.B. Pachori, S.S. Nair, and V.M.
Gadre, Design of time-frequency optimal three-band wavelet filter banks with
unit Sobolev regularity using frequency domain sampling, Circuits, Systems
& Signal Processing, vol. 35, issue 12, pp. 4501-4531, December 2016.
211. M. Kumar, R.B. Pachori, and U.R. Acharya, An efficient automated technique for CAD diagnosis using
flexible analytic wavelet transform and entropy features extracted from HRV
signals, Expert Systems with Applications, vol. 63, pp. 165-172, November 2016.
212. M. Sharma, D. Bhati, S. Pillai, R.B. Pachori, and V.M.
Gadre, Design of time-frequency localized filter banks: Transforming non-convex
problem into convex via semidefinite relaxation technique, Circuits, Systems
& Signal Processing, vol. 35, issue 10, pp. 3716-3733, October 2016.
213. R.B. Pachori and A. Nishad, Cross-terms reduction in
Wigner-Ville distribution using tunable-Q wavelet transform, Signal Processing,
vol. 120, pp. 288-304, March 2016.
214. M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori,
S.V.G. Ravindranath, S. Kher, and S.M. Oak, Empirical mode decomposition
based detection of bend induced error and its correction in a Raman
fiber distributed temperature sensor, IEEE Sensors Journal, vol. 16, no. 05,
pp. 1243-1252, March 2016.
215. R.B. Pachori, M. Kumar, K. Shashank, P. Avinash, and
U.R. Acharya, An improved online paradigm for
screening of diabetic patients using RR interval signals, Journal of Mechanics
in Medicine and Biology, vol. 16, no. 01, 1640003, 23 pages, February 2016.
216. S. Sood, M. Kumar, R.B. Pachori, and U.R. Acharya,
Application of empirical mode decomposition-based features for analysis of
normal and CAD heart rate signals, Journal of Mechanics in Medicine and
Biology, vol. 16, no. 01, 1640002, 20 pages, February 2016.
217. O. Sahu, V. Anand, V. Kanhangad,
and R.B. Pachori, Classification of magnetic resonance brain images using
bi-dimensional empirical mode decomposition and autoregressive model,
Biomedical Engineering Letters, vol. 05, issue 04, pp. 311-320, December 2015.
218. P. Jain and R.B. Pachori, An
iterative approach for decomposition of multi-component non-stationary signals
based on eigenvalue decomposition of the Hankel matrix, Journal of the Franklin
Institute, vol. 352, issue 10, pp. 4017-4044, October 2015.
219. A.S. Hood, R.B. Pachori, V.K. Reddy, and P. Sircar,
Parametric representation of speech employing multi-component AFM signal model,
International Journal of Speech Technology, vol. 18, issue 03, pp. 287-303,
September 2015.
220. R. Sharma, R.B. Pachori, and U.R. Acharya, An integrated index for the identification of focal
electroencephalogram signals using discrete wavelet transform and entropy
measures, Entropy, vol. 17, issue 08, pp. 5218-5240, July 2015.
221. A. Upadhyay and R.B. Pachori, Instantaneous
voiced/non-voiced detection in speech signals based on variational mode
decomposition, Journal of the Franklin Institute, vol. 352, issue 07, pp.
2679-2707, July 2015.
222. S. Patidar, R.B. Pachori, and U.R. Acharya, Automated
diagnosis of coronary artery disease using tunable-Q wavelet transform applied
on heart rate signals, Knowledge Based Systems, vol. 82, pp. 1-10, July 2015.
223. R.B. Pachori, P. Avinash, K. Shashank, R. Sharma, and
U.R. Acharya, Application of empirical mode decomposition for the analysis of
normal and diabetic RR-interval signals, Expert Systems with Applications, vol.
42, issue 09, pp. 4567-4581, June 2015.
224. S. Patidar, R.B. Pachori, and N. Garg, Automatic
diagnosis of septal defects based on tunable-Q wavelet transform of cardiac
sound signals, Expert Systems with Applications, vol. 42, issue 07, pp.
3315-3326, May 2015.
225. M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori,
S.V.G. Ravindranath, S. Kher, and S.M. Oak, Empirical mode decomposition based
dynamic error correction in SS covered 62.5/125 microm
optical fiber based distributed temperature sensor, Optics & Laser
Technology, vol. 67, pp. 107-118, April 2015.
226. R. Sharma, R.B. Pachori, and U.R. Acharya, Application
of entropy measures on intrinsic mode functions for automated identification of
focal electroencephalogram signals, Entropy, vol. 17, issue 02, pp. 669-691,
February 2015.
227. R. Sharma and R.B. Pachori, Classification of
epileptic seizures in EEG signals based on phase space representation of
intrinsic mode functions, Expert Systems with Applications, vol. 42, issue 03,
pp. 1106-1117, February 2015.
228. T.S. Kumar, V. Kanhangad,
and R.B. Pachori, Classification of seizure and seizure-free EEG signals using
local binary patterns, Biomedical Signal Processing and Control, vol. 15, pp.
33-40, January 2015.
229. M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori,
S.V.G. Ravindranath, S. Kher, and S.M. Oak, Raman optical fiber distributed
temperature sensor using wavelet transform based simplified signal processing
of Raman backscattered signals, Optics & Laser Technology, vol. 65, pp.
14-24, January 2015.
230. S. Patidar and R.B. Pachori, Classification of cardiac
sound signals using constrained tunable-Q wavelet transform, Expert Systems
with Applications, vol. 41, pp. 7161-7170, November 2014.
231. P. Jain and R.B. Pachori, Event-based method for
instantaneous fundamental frequency estimation from voiced speech based on
eigenvalue decomposition of Hankel matrix, IEEE/ACM Transactions on Audio,
Speech and Language Processing, vol. 22, issue 10, pp. 1467-1482, October 2014.
232. A. Parey and R.B. Pachori, Gear fault diagnosis based
on central tendency measure of intrinsic mode functions, International Journal
of Condition Monitoring and Diagnostic Engineering Management, vol. 17, no. 03,
pp. 15-22, July 2014.
233. R.B. Pachori and S. Patidar, Epileptic seizure
classification in EEG signals using second-order difference plot of intrinsic
mode functions, Computer Methods and Programs in Biomedicine, vol. 113, issue
02, pp. 494-502, February 2014.
234. V. Joshi, R.B. Pachori, and A. Vijesh, Classification
of ictal and seizure-free EEG signals using fractional linear prediction,
Biomedical Signal Processing and Control, vol. 09, pp. 1-5, January 2014.
235. V. Bajaj and R.B. Pachori, Automatic classification of
sleep stages based on the time frequency image of EEG signals, Computer Methods
and Programs in Biomedicine, vol. 112, issue 03, pp. 320-328, December 2013.
236. S. Patidar and R.B. Pachori, Segmentation of cardiac
sound signals by removing murmurs using constrained tunable-Q wavelet
transform, Biomedical Signal Processing and Control, vol. 08, issue 6, pp.
559-567, November 2013.
237. P. Jain and R.B. Pachori, Marginal energy density over
the low frequency range as a feature for voiced/non-voiced detection in noisy
speech signals, Journal of the Franklin Institute, vol. 350, issue 04, pp.
678-716, May 2013.
238. V. Bajaj and R.B. Pachori, Epileptic seizure detection
based on the instantaneous area of analytic intrinsic mode functions of EEG
signals, Biomedical Engineering Letters, vol. 03, issue 01, pp. 17-21, March
2013.
239. S. Patidar and R.B. Pachori, Constrained
tunable-Q wavelet transform based analysis of cardiac sound signals, AASRI
Procedia, vol. 04, pp. 57-63, January 2013.
240. V. Bajaj and R.B. Pachori, Classification of seizure
and nonseizure EEG signals using empirical mode
decomposition, IEEE Transactions on Information Technology in BioMedicine, vol. 16, no. 06, pp. 1135-1142, November 2012.
241. P. Jain and R.B. Pachori, Time-order representation based method for epoch detection from speech
signals, Journal of Intelligent Systems, vol. 21, issue 01, pp. 79-95, February
2012.
242. A. Parey and R.B. Pachori, Variable cosine windowing
of intrinsic mode functions: Application to gear fault diagnosis, Measurement,
vol. 45, issue 03, pp. 415-426, April 2012.
243. R.B. Pachori and V. Bajaj, Analysis of normal and
epileptic seizure EEG signals using empirical mode decomposition, Computer
Methods and Programs in Biomedicine, vol. 104, issue 03, pp. 373-381, December
2011.
244. R.B. Pachori and D. Hewson, Assessment of the effects
of sensory perturbations using Fourier-Bessel expansion method for postural
stability analysis, Journal of Intelligent Systems, vol. 20, issue 02, pp.
167-186, August 2011.
245. A.F. Mohed, G. Rama Murthy,
and R.B. Pachori, Novel orthogonal signal based
decomposition of digital signals: Application to sensor fusion, Sensors &
Transducers, vol. 114, issue 03, pp. 56-65, March 2010.
246. R.B. Pachori and P. Sircar, Analysis of multicomponent
AM-FM signals using FB-DESA method, Digital Signal Processing, vol. 20, pp.
42-62, January 2010.
247. R.B. Pachori, Discrimination between ictal and
seizure-free EEG signals using empirical mode decomposition, Research Letters
in Signal Processing, vol. 2008, 293056, 5 pages, December 2008.
248. R.B. Pachori and P. Sircar, EEG signal analysis using
FB expansion and second-order linear TVAR process, Signal Processing, vol. 88,
no. 02, pp. 415-420, February 2008.
249. R.B. Pachori and P. Sircar, A new technique to reduce
cross terms in the Wigner distribution, Digital Signal Processing, vol. 17, no.
02, pp. 466-474, March 2007.
Conference
Papers:
1.
M. Khamele, R.B. Pachori, B. Deka, R.
Sarmah, B.L. Siddheswara, D. Mukherjee, D. Chakarborty, and J. Borah, Automated identification of
depressive disorder using multivariate iterative filtering, IEEE International
Conference on Interdisciplinary Approaches in Technology and Management for
Social Innovation (IATMSI-2026), ABV-IIITM Gwalior, India, 12-14 March, 2026.
2.
P.K. Chaudhary, S. Jain, T. Damani, S. Gokharu,
and R.B. Pachori, Glaucoma type identification from multiple fundus image
modalities using 2D-FBSE-EWT, IEEE International Conference on
Interdisciplinary Approaches in Technology and Management for Social Innovation
(IATMSI-2026), ABV-IIITM Gwalior, India, 12-14 March 2026.
3. V.G. Yamalakonda, R.B. Pachori, B. Appina, and A.K. Singh,
Gaussian filtering for noisy hyperchaotic system: Synchronization and secure
communication, 2025 IEEE 4th International Conference on Smart Technologies for
Power, Energy, and Control (STPEC 2025), NIT Goa, 10-13 December 2025.
4. H. Akbari, R.B. Pachori, and M. Mete, Decoding EEG
signals to predict SSRI therapy success in depression using automated tunable
Q-factor wavelet transform and centered correntropy, 2025 IEEE 25th
International Conference on Bioinformatics and Bioengineering (BIBE), Athens,
Greece, 06-08 November 2025.
5. A. Vijay, R.B. Pachori, B. Appina, and N. Tiwari,
FBSE-FTFCWT-based novel automated framework for dysarthric speech detection,
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing,
Hyderabad, India, 06-11 April 2025.
6. A. Pandya, P.G. Bhale, and
R.B. Pachori, State estimation of high speed
maneuvering target using a unified EKF approach, 2025 National Conference on
Communications (NCC 2025), IIT Delhi, 06-09 March 2025.
7. A. Mahato, S.V. Bhalerao, R.B. Pachori, V.M. Gadre,
and D.D. Mahapatra, Neurological responses to meditation with EEG analysis
using novel empirical Fourier-Bessel decomposition approach, 2025 10th
International Conference on Signal Processing and Communication (ICSC), Noida,
India, 20-22 February 2025.
8. V. Mishra, V.K. Singh, and R.B. Pachori, Automated
power quality assessment using IEVDHM technique, 2025 10th International
Conference on Signal Processing and Communication (ICSC), Noida, India, 20-22
February 2025.
9. V.G. Yamalakonda, R.B.
Pachori, B. Appina, and A.K. Singh, State estimation of nonlinear oscillatory
chaotic system: Application to aircraft wing rock using cubature particle
filtering, IEEE TENCON 2024, Singapore, 01-04 December 2024.
10. A.K. Singh, V.G. Yamalakonda, R.B. Pachori, and B.
Appina, State estimation of jagged-shape chaotic oscillator using noisy sensor
measurements, IEEE TENCON 2024, Singapore, 01-04 December 2024.
11. N. Phukan, M.S. Manikandan, and R.B. Pachori, A simple
automated VT/VF detection method for resource-constrained arrhythmia monitoring
devices, 7th International Conference on Signal Processing and Information
Security (ICSPIS), Dubai, UAE, 12-14 November 2024.
12. N. Phukan, M.S. Manikandan, and R.B. Pachori,
Noise-aware atrial fibrillation detection for resource-constrained wearable
devices, 16th International Conference on Electronics, Computers and Artificial
Intelligence, Iasi, Romania, 27-28 June 2024.
13. A. Mondal, M.S. Manikandan, and R.B. Pachori, ECG
quality detection and noise classification for wearable cardiac health
monitoring devices, 16th International Conference on Electronics, Computers and
Artificial Intelligence, Iasi, Romania, 27-28 June 2024.
14. M. Agarwal and R.B. Pachori, Utilizing transfer
learning for automated detection of diabetic retinopathy, 2nd International
Conference on Computer, Electronics, Electrical Engineering and their
Applications, Srinagar, Garhwal, India, 06-07 June 2024.
15. N.S. Shilpa, J. Varghese V, P.N. Sivaranjini, A.K.
Panda, M.S. Manikandan, and R.B. Pachori, Performance evaluation of cuffless
blood pressure estimation methods using linear and non-linear models with PTT
and PR parameters, 9th International Conference on Signal Processing and
Communication (ICSC 2023), Noida, India, 21-23 December 2023.
16. A. Vijay, R.B. Pachori, B. Appina, and N. Tiwari,
Instantaneous fundamental frequency estimation based on FBSE-FAWT, 9th
International Conference on Signal Processing and Communication (ICSC 2023),
Noida, India, 21-23 December 2023.
17. A. Mondal, M.S. Manikandan, and R.B. Pachori, Deep
spectrogram feature based ECG signal quality
assessment for false alarm reduction, 9th International Conference on Signal
Processing and Communication (ICSC 2023), Noida, India, 21-23 December 2023.
18. H. Singh, M.S. Manikandan, and R.B. Pachori,
Compressed ECG sensing based RR interval measurement for fast entropy analysis
of heart rate variability, 9th International Conference on Signal Processing
and Communication (ICSC 2023), Noida, India, 21-23 December 2023.
19. A. Nalwaya, V.K. Singh, and
R.B. Pachori, Emotion identification based on EEG rhythms separated using
improved eigenvalue decomposition of Hankel matrix, 9th International
Conference on Signal Processing and Communication (ICSC 2023), Noida, India,
21-23 December 2023.
20. A. Mahato, K. Das, R.B. Pachori, V.M. Gadre, and D.D.
Mahapatra, Investigating the impact of Rudram mantra listening on brain
activity: A scientific exploration, Mind Brain and Consciousness Conference:
Perspectives from Indian Knowledge System, Mandi, India, 14-16 December 2023.
21. A. Mondal, M.S. Manikandan, and R.B. Pachori, A
comparative study of derivative and Fourier magnitude spectrum
based CNN models for automatic ECG signal quality assessment, The 9th
IEEE International Conference on Smart Instrumentation, Measurement and
Application (ICSIMA 2023), 17-18 October 2023, Kuala Lumpur, Malaysia.
22. N. Phukan, M.S. Manikandan, and R.B. Pachori, Fast
straightforward RR interval extraction based atrial fibrillation detection
using Shannon entropy and machine learning classifiers for wearables, The 9th
IEEE International Conference on Smart Instrumentation, Measurement and
Application (ICSIMA 2023), 17-18 October 2023, Kuala Lumpur, Malaysia.
23. K.K. Pulluri, P.N.
Sivaranjini, M.S. Manikandan, and R.B. Pachori, Performance evaluation of ten
SpO2 measurement equations using estimation error range metric and different
signal lengths, The 9th IEEE International Conference on Smart Instrumentation,
Measurement and Application (ICSIMA 2023), 17-18 October 2023, Kuala Lumpur,
Malaysia.
24. H. Singh, M.S. Manikandan, and R.B. Pachori, Power
spectral analysis of heart rate variability using compressed ECG sensing for
energy-constrained fast health monitoring, The 9th IEEE International
Conference on Smart Instrumentation, Measurement and Application (ICSIMA 2023),
17-18 October 2023, Kuala Lumpur, Malaysia.
25. F.A. Razak, M.S. Manikandan, and R.B Pachori,
Real-time implementation of systolic peak detection for PRV parameter
extraction using Raspberry Pi computing platform, 1st International Conference
on Communication, Security and Artificial Intelligence (ICCSAI-2022), 23-24
December 2022, Greater Noida, India.
26. G.N.K. Reddy, M.S. Manikandan, and R.B. Pachori,
Automated Hilbert envelope based respiration rate
measurement from PPG signal for wearable vital signs monitoring devices, The
Second International Conference on Artificial Intelligence of Things ( ICAIoT2022), 29-30 December 2022, Istanbul, Turkey.
27. J. Varghese V, M.S. Manikandan, and R.B. Pachori,
Automatic SWT based QRS detection using weighted subbands
and Shannon energy peak amplification for ECG signal analysis devices, Fourth
IEEE International Conference on Cognitive Computing and Information Processing
(CCIP-2022), 23-24 December 2022, Bengaluru, India.
28. N. Phukan, M.S. Manikandan, and R.B. Pachori,
Convolutional neural network based atrial fibrillation detection from ECG
signal, Fourth IEEE International Conference on Cognitive Computing and
Information Processing (CCIP-2022), 23-24 December 2022, Bengaluru, India.
29. A. Mondal, M.S. Manikandan, and R.B. Pachori,
Convolutional neural network based ECG quality
assessment using derivative signal, Fourth IEEE International Conference on
Cognitive Computing and Information Processing (CCIP-2022), 23-24 December
2022, Bengaluru, India.
30. V.G. Yamalakonda, R.B.
Pachori, and A.K. Singh, State estimation of Van-der Pol oscillator from noisy
sensor measurement, IEEE 19th India Council International Conference (INDICON
2022), 24-26 November 2022, Cochin, India.
31. S. Dash, S.K. Ghosh, R.K. Tripathy, G. Panda, and R.B.
Pachori, Fourier-Bessel domain based discrete Stockwell transform for the
analysis of non-stationary signals, 3rd IEEE
International conference INDISCON 2022, 15-17 July 2022, Bhubaneswar, India.
32. S. Sharma, A. Girish, N.P. Rakhashia,
V.M. Gadre, S. ul Haque, A. Ansari, R.B. Pachori, P. Radhakrishna, and P.
Sahay, Theoretical analysis of an inverse Radon transform based multicomponent
micro-doppler parameter estimation algorithm, The Twenty Eighth National
Conference on Communications (NCC-2022), 24-27 May 2022, Mumbai, India.
33. K. Das, P. Verma, and R.B. Pachori, Assessment of
chanting effects using EEG signals, XXIV International Conference on Digital
Signal Processing and Its Applications (DSPA-2022), 30 March-01 April 2022,
Moscow, Russia.
34. P.K. Chaudhary, S. Jain, T. Damani, S. Gokharu, and R.B. Pachori, Automatic diagnosis of type of
glaucoma using order-one 2D-FBSE-EWT, XXIV International Conference on Digital
Signal Processing and Its Applications (DSPA-2022), 30 March-01 April 2022,
Moscow, Russia.
35. A. Anuragi, D.S. Sisodia, R.B. Pachori, and D. Singh,
Performance evaluation of TQWT and EMD for automated major depressive disorder
detection using EEG signals, 4th International Conference on Machine
Intelligence and Signal Processing, 12-14 March 2022, Raipur, India.
36. K. Jyoti, S. Sushma, R.B. Pachori, and S. Mukherjee, Memrisitve crossbar-based window function as activation
function for artificial neural network, 21st International Workshop on
Physics of Semiconductor Devices (IWPSD), 14-17 December 2021, IIT Delhi and
SSPL, Delhi, India.
37. P.K. Chaudhary and R.B. Pachori, Automatic diagnosis
of COVID-19 and pneumonia using FBD method, IEEE International Conference on
Bioinformatics & Biomedicine, Seoul, S. Korea, 16-19 December 2020.
38. V.K. Singh and R.B. Pachori, Sliding eigenvalue
decomposition for non-stationary signal analysis, International Conference on
Signal Processing and Communication (SPCOM), 19-24 July 2020, Bangalore, India.
39. P. Meena, R.R. Sharma, and R.B.
Pachori, Cross-term suppression in the Wigner-Ville distribution using
variational mode decomposition, 5th International conference on
Signal Processing, Computing, and Control (ISPCC-2k19), 10-12 October
2019, Waknaghat, India.
40. P.S. Ramya, K. Yashashvi, A. Anjum, A. Bhattacharyya,
and R.B. Pachori, A filtering method for classification of motor-imagery
EEG signals for brain-computer interface, 5th International
conference on Signal Processing, Computing, and Control (ISPCC-2k19), 10-12 October, 2019, Waknaghat,
India.
41. V. Gupta, A. Nishad, and R.B. Pachori, Focal EEG
signal detection based on constant-bandwidth TQWT filter-banks, 2018 IEEE
International Conference on Bioinformatics and Biomedicine, 03-06 December
2018, Madrid, Spain.
42. M. Tanveer, R.B. Pachori, and N.V. Victoria, Entropy
based features in FAWT framework for automated detection of epileptic seizure
EEG signals, 2018 Symposium Series on Computational Intelligence, 18-21
November 2018, Bengaluru, India.
43. M. Tanveer, R.B. Pachori, and N.V. Victoria,
Classification of seizure and seizure-free EEG signals using Hjorth parameters,
2018 Symposium Series on Computational Intelligence, 18-21 November 2018,
Bengaluru, India.
44. A. Nishad and R.B. Pachori, Instantaneous
fundamental frequency estimation of speech signals using tunable-Q wavelet
transform, International Conferences on Signal Processing and
Communications (SPCOM), 16-19 July 2018, Bangalore, India.
45. S. Gupta, K. Hari Krishna, R.B. Pachori, and M.
Tanveer, Fourier-Bessel series expansion based
technique for automated classification of focal and non-focal EEG signals,
International Joint Conference on Neural Networks (IJCNN), 08-13 July 2018,
Rio, Brazil.
46. A. Bhattacharyya, L. Singh, and R.B. Pachori,
Identification of epileptic seizures from scalp EEG signals based on TQWT,
International Conference on Machine Intelligence and Signal Processing, 22-24
December 2017, Indore, India.
47. S. Shah, M. Sharma, D. Deb, and R.B. Pachori, An automated alcoholism detection using orthogonal wavelet
filter bank, International Conference on Machine Intelligence and Signal
Processing, 22-24 December 2017, Indore, India.
48. M. Sharma, P. Sharma, R.B. Pachori, and V.M. Gadre,
Double density dual-tree complex wavelet transform
based features for automated screening of knee-joint vibroarthrographic
signals, International Conference on Machine Intelligence and Signal
Processing, 22-24 December 2017, Indore, India.
49. R.R. Sharma, M. Kumar, and R.B. Pachori, Automated CAD
identification system using time-frequency representation based on eigenvalue
decomposition of ECG signals, International Conference on Machine Intelligence
and Signal Processing, 22-24 December 2017, Indore, India.
50. R.R. Sharma, P. Chandra, and R.B. Pachori,
Electromyogram signal analysis using eigenvalue decomposition of the Hankel
matrix, International Conference on Machine Intelligence and Signal Processing,
22-24 December 2017, Indore, India.
51. M. Dalal, M. Tanveer, and R.B. Pachori, Automated
identification system for focal EEG signals using fractal dimension of FAWT
based sub-bands signals, International Conference on Machine Intelligence and
Signal Processing, 22-24 December 2017, Indore, India.
52. V. Gupta and R.B. Pachori, A new method for
classification of focal and non-focal EEG signals, International Conference on
Machine Intelligence and Signal Processing, 22-24 December 2017, Indore, India.
53. D. Bhati, R.B. Pachori, and V.M. Gadre, Optimal design
of three-band orthogonal wavelet filter bank with stopband energy for
identification of epileptic seizure EEG signals, International Conference on
Machine Intelligence and Signal Processing, 22-24 December 2017, Indore, India.
54. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad,
Comparison analysis: single and multichannel EMD based filtering with
application to BCI, International Conference on Machine Intelligence and Signal
Processing, 22-24 December 2017, Indore, India.
55. A. Bhattacharyya, V. Gupta, and R.B. Pachori,
Automated identification of epileptic seizure EEG signals using empirical
wavelet transform based Hilbert marginal spectrum, 22nd International
Conference on Digital Signal Processing, 23-25 August 2017, London, UK.
56. V. Gupta, A. Bhattacharyya, and R.B. Pachori,
Classification of seizure and non-seizure EEG signals based on EMD-TQWT method,
22nd International Conference on Digital Signal Processing, 23-25 August 2017,
London, UK.
57. M. Sharma, R.B. Pachori, and V.M. Gadre, A novel class
of optimal time-frequency localized biorthogonal wavelet filter banks for
automated identification of epileptic seizures, International Symposium on
Computational Mathematics, Optimization, and Computational Intelligence (CMOCI
2017), 17-19 July 2017, IIT Indore, Indore, India.
58. M. Tanveer, R.B. Pachori, and M. Dalal, Automated
detection of EEG signal based on flexible analytic wavelet transform with an
optimal signal length, International Symposium on Computational Mathematics,
Optimization, and Computational Intelligence (CMOCI 2017), 17-19 July 2017, IIT
Indore, Indore, India.
59. P. Gaur, J.S. Bornot, G.
Prasad, H. Wang, and R.B. Pachori, Decoding of multi-direction wrist movements
using multivariate empirical mode decomposition, MEG UK 2017, 22-24 March 2017,
Oxford, UK.
60. G. Kaushik, P. Gaur, G. Prasad, H. Wang, and R.B.
Pachori, An MEG based multi direction wrist movements analysis using empirical
mode decomposition and multivariate empirical mode decomposition, MEG UK 2016,
22-24 March 2017, Oxford, UK.
61. D. Joshi, A. Tripathi, R. Sharma, and R.B. Pachori,
Computer aided detection of abnormal EMG signals based on tunable-Q wavelet
transform, International Conference on Signal Processing & Integrated
Networks, 11-12 February 2017, Noida, India.
62. R.R. Sharma and R.B. Pachori, A new method for
non-stationary signal analysis using eigenvalue decomposition of the Hankel
matrix and Hilbert transform, International Conference on Signal Processing
& Integrated Networks, 11-12 February 2017, Noida, India.
63. S. Patidar and R.B. Pachori, Tunable-Q wavelet transform based optimal compression of cardiac sound
signals, IEEE Tencon Conference, 22-25 November 2016,
Singapore.
64. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, A
multivariate empirical mode decomposition based
filtering for subject independent BCI, 27th Irish Signals and Systems
Conference, 21-22 June 2016, Derry, UK.
65. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad,
Enhanced motor imagery classification in EEG-BCI using multivariate EMD based
filtering and CSP features, International Brain-Computer Interface (BCI)
Meeting, 30 May-03 June 2016, California, USA.
66. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An MEG
based BCI for classification of multi direction wrist movements using empirical
mode decomposition, MEG UK 2016, 21-23 March 2016, York, UK.
67. A. Upadhyay and R.B. Pachori, A new method for
determination of instantaneous pitch frequency from speech signals, IEEE Signal
Processing and Signal Processing Education Workshop, 09-12 August 2015, Salt
Lake City, Utah, USA.
68. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An empirical mode decomposition based
filtering method for classification of motor-imagery EEG signals for enhancing
brain-computer interface, The International Joint Conference on Neural
Networks, Killarney, Ireland, 12-17 July 2015.
69. R.B. Pachori, Automatic diagnosis of epilepsy using
non-stationary signal decomposition based methods,
International Conference on Significant Advances in Biomedical Engineering,
Philadelphia, USA, 27-29 April 2015.
70. A. Mathur, N. Choudhary, A. Upadhyay, and R.B.
Pachori, Detection of glottal closure instants from voiced speech signals using
the Fourier-Bessel series expansion, 4th IEEE International Conference on
Communication and Signal Processing, Melmaruvathur,
India, 02-04 April 2015.
71. M. Shah, S. Saurav, R. Sharma, and R.B Pachori,
Analysis of epileptic seizure EEG signals using reconstructed phase space of
intrinsic mode functions, 9th IEEE International Conference on Industrial and
Information Systems, 15-17 December 2014, Gwalior, India.
72. S. Patidar, R.B. Pachori, and N. Garg, Detection of
septal defects from cardiac sound signals using tunable-Q wavelet transform,
IEEE International Conference on Digital Signal Processing, 20-23 August 2014,
Hong Kong.
73. T.S. Kumar, V. Kanhangad,
and R.B. Pachori, Classification of seizure and seizure-free EEG signals using
multi-level local patterns, IEEE International Conference on Digital Signal
Processing, 20-23 August 2014, Hong Kong.
74. R. Sharma, R.B. Pachori, and S. Gautam, Empirical mode
decomposition based classification of focal and
non-focal EEG signals, IEEE International Conference on Medical Biometrics, 30
May-01 June 2014, Shenzhen, China.
75. V. Bajaj and R.B. Pachori, Human emotion
classification from EEG signals using multiwavelet transform, IEEE
International Conference on Medical Biometrics, 30 May-01 June 2014, Shenzhen,
China.
76. P.S. Rathore and R.B. Pachori, Instantaneous
fundamental frequency estimation of speech signals using DESA in low-frequency
region, IEEE International Conference on Signal Processing and Communication,
pp. 470-473, 12-14 December 2013, Noida, India.
77. R. Bodade, R.B. Pachori, A.
Gupta, P. Kanani, and D. Yadav, A novel approach for automated skew correction
of vehicle number plate using principal component analysis, IEEE International
Conference on Emerging Trends in Communication, Control, Signal Processing and
Computing Applications, 10-11 October 2013, Bangalore, India.
78. P. Jain and R.B. Pachori, GCI identification from
voiced speech using the eigen value decomposition of Hankel matrix, IEEE 8th
International Symposium on Image and Signal Processing and Analysis, pp.
371-376, 04-06 September 2013, Trieste, Italy.
79. P. Kanani, A. Gupta, D. Yadav, R. Bodade,
and R.B. Pachori, Vehicle license plate localization using wavelets, IEEE
Conference on Information and Communication Technologies, 11-12 April 2013, Thuckalay, India.
80. S. Patidar and R.B. Pachori, A continuous wavelet transform based method for detecting heart valve disorders
using phonocardiograph signals, International Conference on Convergence and
Hybrid Information Technology, CCIS 310, pp. 513-520, 23-25 August 2012,
Daejeon, South Korea.
81. V. Bajaj and R.B. Pachori, Separation of rhythms of
EEG signals based on Hilbert-Huang transformation with application to seizure
detection, International Conference on Convergence and Hybrid Information
Technology, LNCS 7425, pp. 493-500, 23-25 August 2012, Daejeon, South Korea.
(Best Paper Award)
82. V. Bajaj and R.B. Pachori, EEG signal classification
using empirical mode decomposition and support vector machine, International
Conference on Soft Computing for Problem Solving, AISC 131, pp. 623-635, 20-22
December 2011, Roorkee, India.
83. V. Bajaj and R.B. Pachori, Application of the sample
entropy for discrimination between seizure and seizure-free EEG signals, 5th
Indian International Conference on Artificial Intelligence, pp. 1232-1247,
14-16 December 2011, Tumkur, India.
84. P. Jain and R.B. Pachori, A new approach for glottal
closure instants detection from speech signals, 5th Indian International
Conference on Artificial Intelligence, pp. 1216-1231, 14-16 December 2011,
Tumkur, India.
85. R.B. Pachori and D. Hewson, Identification of
time-varying effects of sensory perturbations for postural stability analysis,
5th Indian International Conference on Artificial Intelligence, pp. 1280-1292,
14-16 December 2011, Tumkur, India.
86. A. Parey and R.B. Pachori, Modified empirical mode
decomposition process for improved fault diagnosis, 8th IFToMM
International Conference on Rotor Dynamics, pp. 261-265, 12-15 September 2010,
Seoul, Korea.
87. R.B. Pachori and S.V. Gangashetty,
AM-FM model based approach for detection of glottal
closure instants, IEEE International Conference on Information Science, Signal
Processing and their Applications, pp. 266-269, 10-13 May 2010, Kuala Lumpur,
Malaysia.
88. R.B. Pachori and S.V. Gangashetty,
Detection of voice onset time using FB expansion and AM-FM model, IEEE
International Conference on Information Science, Signal Processing and their
Applications, 149-152, 10-13 May 2010, Kuala Lumpur, Malaysia.
89. S. Chhabra, R. Bajaj, R.B. Pachori, and R.N. Biswas,
Features based on Fourier-Bessel expansion for application of speaker
identification system, Proceedings Indian Conference for Academic Research by
Undergraduate Students, 26-28 March 2010, IIT Kanpur, India.
90. P. Sircar, R.B. Pachori, and R. Kumar, Analysis of
rhythms of EEG signals using orthogonal polynomial approximation, ACM
International Conference on Convergence and Hybrid Information Technology, pp.
176-180, 27-29 August 2009, Daejeon, South Korea.
91. R.B. Pachori, D. Hewson, H. Snoussi,
and J. Duchne, Postural time-series analysis using
empirical mode decomposition and second-order difference plots, IEEE
International Conference on Acoustics, Speech, and Signal Processing, pp.
537-540, 19-24 April 2009, Taipei, Taiwan.
92. R.B. Pachori, D. Hewson, H. Snoussi,
and J. Duchene, Analysis of center of pressure signals using empirical mode
decomposition and Fourier-Bessel expansion, IEEE Tencon
Conference, Article no. 4766596, 18-21 November 2008, Hyderabad, India.
93. R.B. Pachori and P. Sircar, Time-frequency analysis
using time-order representation and Wigner distribution, IEEE Tencon Conference, Article no. 4766782, 18-21 November
2008, Hyderabad, India.
94. R.B. Pachori and P. Sircar, Modeling of multicomponent
AM-FM signals using FB expansion and linear TVAR process, 16th European Signal
Processing Conference, 25-29 August 2008, Lausanne, Switzerland.
95. R.B. Pachori and P. Sircar, Speech analysis using
Fourier-Bessel expansion and discrete energy separation algorithm, IEEE Digital
Signal Processing Workshop and Workshop on Signal Processing Education, pp.
423-428, 24-27 September 2006, Wyoming, USA.
96. R.B. Pachori and P. Sircar, Analysis of multicomponent
nonstationary signals using Fourier-Bessel transform and Wigner distribution,
14th European Signal Processing Conference, 04-08 September 2006, Florence,
Italy.
97. J. Qumar and R.B. Pachori, A novel technique for
merging of multisensor and defocussed
images using multiwavelets, IEEE Tencon Conference,
pp. 1733-1738, 22-24 November 2005, Melbourne, Australia.
98. R.B. Pachori and P. Sircar, A novel technique to
reduce cross terms in the squared magnitude of the wavelet transform and the
short time Fourier transform, IEEE International Workshop on Intelligent Signal
Processing, pp. 217-222, 01-03 September 2005, Faro, Portugal.
99. R.B. Pachori and P. Sircar, Modeling of time varying
AR process using nonlinear energy operator, IEEE 8th International Symposium on
Signal Processing and its Applications, pp. 643-646, 28-30 August 2005, Sydney,
Australia.
100.
R.B. Pachori
and P. Sircar, A new technique to reduce the cross terms in Wigner
distribution, 11th National Conference on Communications, pp. 427-431, 28-30
January 2005, IIT Kharagpur, India.