PUBLICATIONS
Patents:
1. R.B. Pachori, M.S. Manikandan, and J. Varghese V,
Apparatus, systems and methods for quality-aware energy-efficient PPG signal analysis
and cardiovascular disease diagnosis and prediction, Indian Patent, Patent
application no. 202221075607, Filed: 26 December,
2022, Published: 13 October, 2023.
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, Published: 13
October, 2023.
3. 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, Published: 13 October, 2023.
4. 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, Published: 13 October, 2023.
5. 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, Published: 13 October, 2023.
6. 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.
7. 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, Published: 14
October, 2022.
8. 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.
Books:
1. R.K. Tripathy and R.B. Pachori, Artificial
intelligence enabled signal processing based models
for neural information processing, CRC Press, June, 2024, ISBN: 9781032529301.
2. R.K. Tripathy and R.B. Pachori, Signal processing
driven machine learning techniques for cardiovascular data processing,
Elsevier, June, 2024, ISBN: 9780443141416.
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:
Proceedings of the 4th international conference MISP 2022, Volume 1, Springer,
2023, ISBN: 9789819900848.
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. 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, 2023.
2. 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, 2023.
3. 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, 2023.
4. 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, 2023.
5. 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, 2023.
6. 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, 2023.
7. 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.
8. 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.
9. 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
10. 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.
11. 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.
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, 2021.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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. 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, In press, 2024.
2.
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, In press, 2024.
3.
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, In press, 2024.
4.
K. Das and R.B.
Pachori, Multivariate iterative filtering based SSVEP detection in mobile
environment for brain-computer interface application, IEEE Sensors Letters, In
press, 2024.
5.
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, In press, 2024.
6.
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, In press, 2024.
7.
A. Anuragi,
D.S. Sisodia, R.B. Pachori, Mitigating the curse of dimensionality using
feature projection techniques on electroencephalography datasets: An empirical review, Artificial Intelligence Review, In press, 2024.
8.
A.S.S. Reddy
and R.B. Pachori, Multivariate dynamic mode decomposition for automatic
imagined speech recognition using multichannel EEG signals, IEEE Sensors
Letters, In press, 2024.
9.
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, In press, 2024.
10.
K. Jyoti, M.K.
Gautam, S. Kumar, S. Sushma, R.B. Pachori, and S Mukherjee, Memristive
crossbar array-based computing framework via DWT for biomedical image
enhancement, IEEE Transactions on Emerging Topics in Computing, In press, 2024.
11.
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.
12.
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.
13.
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.
14.
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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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.
84. 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.
85. 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.
86. 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.
87. 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.
88. 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.
89. 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.
90. 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.
91. 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.
92. 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.
93. 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.
94. 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.
95. 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.
96. 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.
97. 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.
98. 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.
99. 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.
100.
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.
101.
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.
102.
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.
103. 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.
104. 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.
105. 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.
106. 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.
107. 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.
108. 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, January,
2020.
109. 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.
110. 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.
111. 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.
112. 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.
113. 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.
114. 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.
115. 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.
116. 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.
117. 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.
118. 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.
119. 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.
120. 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.
121. 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.
122. 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.
123. 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.
124. 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.
125. 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.
126. 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.
127. 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.
128. 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.
129. 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.
130. 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.
131. 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.
132. 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.
133. 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.
134. 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.
135. 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.
136. 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.
137. 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.
138. 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.
139. 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 08, pp. 47-57, April, 2018.
140. 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.
141. 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.
142. 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.
143. 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.
144. 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.
145. 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.
146. 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.
147. 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.
148. 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.
149. 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.
150. 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.
151. 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.
152. 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.
153. 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.
154. 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.
155. 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.
156. 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.
157. 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.
158. 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.
159. 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.
160. A. Upadhyay and R.B. Pachori, Speech enhancement based
on mEMD-VMD method, Electronics Letters, vol. 53,
issue 07, pp. 502-504, March, 2017.
161. 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.
162. 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.
163. 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.
164. 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.
165. 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.
166. 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.
167. 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.
168. 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.
169. 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.
170. 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.
171. 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.
172. 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.
173. 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.
174. 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.
175. 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.
176. 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.
177. 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.
178. 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.
179. 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.
180. 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.
181. 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 micro optical
fiber based distributed temperature sensor, Optics & Laser Technology, vol.
67, pp. 107-118, April, 2015.
182. 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.
183. 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.
184. 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.
185. 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.
186. 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.
187. 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.
188. 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. 03, pp. 15-22, July, 2014.
189. 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.
190. 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.
191. 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.
192. 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.
193. 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.
194. 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.
195. 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.
196. 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.
197. 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.
198. 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.
199. 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.
200. 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.
201. 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.
202. 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.
203. 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.
204. 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.
205. 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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. 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.
67. 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)
68. 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.
69. 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.
70. 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.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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.
84. 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.
85. 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.
86. 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.