PUBLICATIONS

 

Patents:

 

1.      R.B. Pachori and K. Das, System and method for predicting Parkinsons disease, Indian Patent, Patent application no. 202221027358, Filed, 12 May, 2022.

2.      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.

3.      B. Fatimah, P. Singh, A. Singhal, and R.B. Pachori, System and method for biometric identification using ECG signals, Australian Patent, Patent no. 2021106695, Granted, 08 December, 2021.

 

Books:

 

1.      R.K. Tripathy and R.B. Pachori, Artificial intelligence enabled signal processing based models for neural information processing, CRC Press, Under processing, 2022.

2.      R.K. Tripathy and R.B. Pachori, Signal processing driven machine learning techniques for cardiovascular data processing, Elsevier, Under processing, 2022.

3.       R.B. Pachori, Time-frequency analysis techniques and their applications, CRC Press, 2023, ISBN: 9781032392974.

4.      D.S. Sisodia, L. Garg, R.B. Pachori, and M. Tanveer, Machine intelligence techniques for data analysis and signal processing, Springer, 2022.

5.       R.K. Chaurasiya, D.K. Agrawal, and R.B. Pachori, AI-enabled smart healthcare using biomedical signals, IGI Global, 2022, ISBN: 9781668439470.

6.       D. Gupta, R.S. Goswami, S. Banerjee, M. Tanveer, and R.B. Pachori, Pattern recognition and data analysis with applications, Springer, 2022, ISBN: 9789811915192.

7.      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, 2020, ISBN: 9781119711094.

8.      D.S. Sisodia, R.B. Pachori, and L. Garg, Handbook of Research on advancement of artificial intelligence in healthcare engineering, IGI Global, 2020, ISBN: 9781799821205.

9.      M. Tanveer and R.B. Pachori, Machine intelligence and signal analysis, Advances in Intelligent Systems and Computing, Springer, 2018, ISBN: 9789811309236.

10.  R.B. Pachori and P. Sircar, Non-stationary signal analysis: Methods based on Fourier-Bessel representation, LAP LAMBERT Academic Publishing, Saarbrucken, Germany, 2010, ISBN: 9783843388078.

 

Book Chapters:

 

1.      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, 2022.

2.      S. V. Bhalerao, S.S. Ainwad, and R.B. Pachori, FBSE based automated classification of motor imagery EEG signals in brain-computer interface, Handbook of Neural Engineering, Volume 2: Brain-Computer Interfaces, Elsevier, 2022.

3.      A. Nalwaya, K. Das, and R.B. Pachori, Emotion identification from TQWT based EEG rhythms, AI-Enabled Smart Healthcare Using Biomedical Signals, IGI Global, 2021

4.      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, 2021.

5.      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, 2021.

6.      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, 2021.

7.      A. Ullal and R.B. Pachori, Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals, In: S. Day, S.K. Pani, J. Rodrigues, and B. Majhi (Eds.) Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics Techniques and Applications, Biomedical Engineering, CRC Press, 2021.

8.      P.S. Ramya, K. Yashasvi, A. Anjum, A. Bhattacharyya, and R.B. Pachori, Development of an effective computing framework for classification of motor imagery EEG signals for brain-computer interface, In: S. Jain, M. Sood, and S. Paul (Eds) Advances in Computational Intelligence Techniques, Springer, 2020.

9.      R.R. Sharma, P. Meena, and R.B. Pachori, Enhanced time-frequency representation based on variational mode decomposition and Wigner-Ville distribution, In: S. Jain and S. Paul (Eds.) Recent Trends in Image and Signal Processing in Computer Vision, Springer, 2020.

10.  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, In: D.S. Sisodia, R.B. Pachori, and L. Garg (Eds.) Advancement of Artificial Intelligence in Healthcare Engineering, IGI Global, 2020.

11.  R. Singh and R.B. Pachori, Iterative filtering based automated method for detection of normal and ALS EMG signals, In: S. Jain and S. Paul (Eds.) Recent Trends in Image and Signal Processing in Computer Vision, Springer, 2020.

12.  R. Sharma, P. Sircar, and R.B. Pachori, Automated seizures classification using deep neural network based on autoencoder, In: D.S. Sisodia, R.B. Pachori, and L. Garg (Eds.) Advancement of Artificial Intelligence in Healthcare Engineering, IGI Global, 2020.

13.  R.B. Pachori and V. Gupta, Biomedical engineering fundamentals, In: F. Firouzi, K. Chakrabarty, and S. Nassif (Eds.) Intelligent Internet of Things: From Device, to Fog, and Cloud, Springer, 2020.

14.  R. Sharma, P. Sircar, and R.B. Pachori, Computer-aided diagnosis of epilepsy using bispectrum of EEG signals, In: S. Paul (Ed.) Application of Biomedical Engineering in Neuroscience, Springer, 2019.

15.  R.R. Sharma, M. Kumar, and R.B. Pachori, Classification of EMG signals using eigenvalue decomposition based time-frequency representation, In: N. Sriraam (Ed.) Biomedical and Clinical Engineering for Healthcare Advancement, IGI Global, 2019.

16.  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, In: K.C. Santosh, S. Antani, D.S. Guru, and N. Dey (Eds.) Medical imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques, CRC Press, 2019.

17.  V. Gupta, A. Bhattacharyya, and R.B. Pachori, Automated identification of epileptic seizures from EEG signals using FBSE-EWT method, In: G.R. Naik (Ed.) Biomedical Signal Processing-Advances in Theory, Algorithms and Applications, Springer, 2019.

18.  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, In: G.R. Naik (Ed.) Biomedical Signal Processing-Advances in Theory, Algorithms and Applications, Springer, 2019.

19.  R. Sharma and R.B. Pachori, Automated classification of focal and non-focal EEG signals based on bivariate empirical mode decomposition, In: M.H. Kolekar and V. Kumar (Eds.) Biomedical Signal and Image Processing in Patient Care, IGI Global, 2017.

20.  R.B. Pachori, R. Sharma, and S. Patidar, Classification of normal and epileptic seizure EEG signals based on empirical mode decomposition, In: Q. Zhu and A.T. Azar (Eds.) Complex System Modelling and Control through Intelligent Soft Computations, Studies in Fuzziness and Soft Computing, Springer International Publishing, Switzerland, 2015.

21.  S. Patidar and R.B. Pachori, Classification of heart disorders based on tunable-Q wavelet transform of cardiac sound signals, In: A.T. Azar and S. Vaidyanathan (Eds.) Chaos Modelling and Control Systems Design, Studies in Computational Intelligence, Springer International Publishing, Switzerland, 2015.

22.  V. Bajaj and R.B. Pachori, Detection of human emotions using features based on the multiwavelet transform of EEG signals, In: A.E. Hassanien and A.T. Azar (Eds.) Brain-Computer Interfaces: Current Trends and Applications, Intelligent Systems Reference Library, Springer International Publishing, Switzerland, 2015.

 

Journal Papers:

 

1. 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, In press, 2022.

2. 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, In press, 2022.

3. 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, In press, 2022.

4. 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, In press, 2022.

5. A. Nalwaya, K. Das, and R.B. Pachori, Automated emotion identification using Fourier-Bessel domain-based entropies, Entropy, In press, 2022.

6. 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, In press, 2022.

7. 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.

8. 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.

9. 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.

10. 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, In press, 2022.

11. 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, In press, 2022.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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. 

21. 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.

22. 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.

23. 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.

24. 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.

25. 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, Januray, 2022.

26. 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.

27. 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, Januray, 2022.

28. 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.

29. 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.

30. 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.

31. 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.

32. 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.

33. 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.

34. 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, DOI: 10.1109/TCDS.2021.3099988, July 2021.

35. 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.

36. 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.

37. 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.

38. 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.

39. 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.

40. 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.

41. 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.

42. 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.

43. 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.

44. 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.

45. 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, article sequence number: 4002709, pp. 1-9, February, 2021.

46. 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.

47. 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.

48. 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.

49. 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.

50. 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, Januray, 2021.

51. 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.

52. 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.

53. 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.

54. 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.

55. 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.

56. 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.

57. 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.

58. 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.

59. 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.

60. 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.

61. 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 9, pp. 4914-4924, May, 2020.

62. 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.

63. 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.

64. 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.

65. 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.

66. 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.

67. 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.

68. 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.

69. 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, DOI: https://doi.org/10.1007/s12652-020-01722-8, Januray 2020.

70. 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.

71. 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.

72. 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.

73. 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.

74. 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.

75. 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.

76. 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.

77. 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.

78. 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.

79. 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.

80. 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, article sequence no. 7001604, July, 2019.

81. 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.

82. 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.

83. 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.

84. 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.

85. 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.

86. 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.

87. 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.

88. 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.

89. 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.

90. 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. 2, issue 4, article sequence no. 7001904, December, 2018.

91. 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.

92. 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.

93. 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.

94. 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.

95. 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.

96. 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, DOI: https://doi.org/10.1007/s12652-018-0867-3, May, 2018.

97. 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.

98. 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.

99. 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.

100. A. Bhattacharyya, M. Sharma, R.B. Pachori, P. Sircar, and U.R. Acharya, A novel approach for automated detection of focal EEG signals using empirical wavelet transform, Neural Computing and Applications, vol. 29, issue 8, pp. 47-57, April, 2018.

101. 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.

102. 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.

103. 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.

104. 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.

105. 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.

106. 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.

107. 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.

108. 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.

109. 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, article sequence no. 7000204, August, 2017.

110. 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.

111. 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.

112. 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.

113. 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.

114. 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.

115. 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.

116. 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.

117. 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.

118. 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.

119. 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.

120. 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.

121. A. Upadhyay and R.B. Pachori, Speech enhancement based on mEMD-VMD method, Electronics Letters, vol. 53, issue 07, pp. 502-504, March, 2017.

122. 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.

123. 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.

124. 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.

125. 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.

126. 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.

127. 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.

128. 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.

129. 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.

130. 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.

131. 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. 5, pp. 1243-1252, March, 2016.

132. 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.

133. 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.

134. 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. 5, issue 4, pp. 311-320, December, 2015.

135. 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.

136. 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.

137. 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 8, pp. 5218-5240, July, 2015.

138. 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 7, pp. 2679-2707, July, 2015.

139. 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.

140. 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 9, pp. 4567-4581, June, 2015.

141. 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 7, pp. 3315-3326, May, 2015.

142. 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 um optical fiber based distributed temperature sensor, Optics & Laser Technology, vol. 67, pp. 107-118, April, 2015.

143. 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 2, pp. 669-691, February, 2015.

144. 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 3, pp. 1106-1117, February, 2015.

145. 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.

146. 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.

147. 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.

148. 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.

149. A. Parey and R.B. Pachori, Gear fault diagnosis based on central tendency measure of intrinsic mode functions, International Journal of COMADEM, vol. 17, no. 3, pp. 15-22, July, 2014.

150. 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 2, pp. 494-502, February, 2014.

151. 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. 9, pp. 1-5, January, 2014.

152. S. Patidar and R.B. Pachori, Constrained tunable-Q wavelet transform based analysis of cardiac sound signals, AASRI Procedia, vol. 4, pp. 57-63, January, 2013.

153. 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 3, pp. 320-328, December, 2013.

154. 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. 8, issue 6, pp. 559-567, November, 2013.

155. 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 4, pp. 678-716, May, 2013.

156. 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. 3, issue 1, pp. 17-21, March, 2013.

157. 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. 6, pp. 1135-1142, November, 2012.

158. P. Jain and R.B. Pachori, Time-order representation based method for epoch detection from speech signals, Journal of Intelligent Systems, vol. 21, issue 1, pp. 79-95, February, 2012.

159. A. Parey and R.B. Pachori, Variable cosine windowing of intrinsic mode functions: Application to gear fault diagnosis, Measurement, vol. 45, issue 3, pp. 415-426, April, 2012.

160. 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 3, pp. 373-381, December, 2011.

161. 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 2, pp. 167-186, August, 2011.

162. 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 3, pp. 56-65, March, 2010.

163. 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.

164. R.B. Pachori, Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition, Research Letters in Signal Processing, vol. 2008, Article ID 293056, 5 pages, December, 2008.

165. R.B. Pachori and P. Sircar, EEG signal analysis using FB expansion and second-order linear TVAR process, vol. 88, no. 2, pp. 415-420, February, 2008.

166. R.B. Pachori and P. Sircar, A new technique to reduce cross terms in the Wigner distribution, Digital Signal Processing, vol. 17, no. 2, pp. 466-474, March, 2007.

 

Conference Papers:

 

1.      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.

2.      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.

3.      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.

4.      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.

5.      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.

6.      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.

7.      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-1 April, 2022, Moscow, Russia.

8.      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-1 April, 2022 , Moscow, Russia.

9.      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.

10.  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.

11.  V.K. Singh and R.B. Pachori, Sliding eigenvalue decomposition for non-stationary signal analysis, International Conference on Signal Processing and Communication (SPCOM), July, 2020, Bangalore, India.

12.  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.

13.  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.

14.  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.

15.  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.

16.  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.

17.  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.

18.  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.

19.  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.

20.  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.

21.  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.

22.  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.

23.  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.

24.  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.

25.  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.

26.  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.

27.  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.

28.  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.

29.  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.

30.  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. (Abstract).

31.  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. (Abstract).

32.  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. (Poster).

33.  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. (Poster).

34.  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.

35.  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.

36.  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.

37.  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.

38.  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-3 June, 2016, California, USA.

39.  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. (Poster).

40.  A. Upadhyay and R.B. Pachori, A new method for determination of instantaneous fundamental frequency from speech signals, IEEE Signal Processing and Signal Processing Education Workshop, 09-12 August, 2015, Salt Lake City, Utah, USA.

41.  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.

42.  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.

43.  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, 2-4 April, 2015.

44.  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.

45.  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.

46.  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.

47.  R.B. Pachori and J.-L. Kim, Comparison of the health care function by head movement, The 1st International Conference on Contents, Platform, Network and Device, 10 July-13 July, 2014, Pusan, Korea.

48.  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.

49.  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.

50.  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.

51.  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.

52.  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.

53.  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.

54.  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.

55.  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)

56.  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.

57.  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.

58.  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.

59.  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.

60.  R.B. Pachori, J. Gadewadikar, and O. Kuljaca, Classification of EEG signals based on empirical mode decomposition and Bayesian networks application, Seventy-Fifth Annual Meeting, University of Southern Mississippi, USA, 17-18 February, 2011 (Abstract Issue of Journal of the Mississippi Academy of Sciences, vol. 56, no. 1, pp. 101, Jan 2011).

61.  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.

62.  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.

63.  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.

64.  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.

65.  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.

66.  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.

67.  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.

68.  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.

69.  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.

70.  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.

71.  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.

72.  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.

73.  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.

74.  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.

75.  R.B. Pachori and P. Sircar, A new technique to reduce cross terms in the Wigner distribution, 11th National Conference on Communications, pp. 427-431, 28-30 January, 2005, IIT Kharagpur, India.