Ram Bilas Pachori

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U Rajendra Acharya (SCI Highly Cited...Professor (Artificial Intelligence in Healthcare),University of Southern Queensland, AustraliaVerified email at usq.edu.au
ABHIJIT BHATTACHARYYAAssistant Professor, NIT HamirpurVerified email at nith.ac.in
Pradip SircarProfessor of Electrical Engineering, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Dr. Manish SharmaProfessor (assistant), Electrical and Computer Science, Institute of Infrastructure TechnologyVerified email at iitram.ac.in
Rajesh Kumar TripathyAssistant Professor at BITS Pilani, HyderabadVerified email at hyderabad.bits-pilani.ac.in
Rajeev SharmaVIT-AP University, Amaravati, A.P., IndiaVerified email at vitap.ac.in
Rishi Raj SharmaDefence Institute of Advanced Technology, PuneVerified email at diat.ac.in
Dr. Shivnarayan PatidarNational Institute of Technology GoaVerified email at nitgoa.ac.in
Pramod GaurBITS Pilani, Dubai campus,Past: Assistant Professor, The LNMIIT, Jaipur, Post doctoral RA in NeuroVerified email at dubai.bits-pilani.ac.in
Vipin GuptaNeuroscientist, Qneuro Pvt. India Ltd., Chennai, Tamil Nadu, IndiaVerified email at iiti.ac.in
Varun BajajAssociate Professor (ECE), PDPM IIITDM JabalpurVerified email at iiitdmj.ac.in
Abhay UpadhyayAssistant Professor, NPIU TEQIP III, IET, BU JHANSIVerified email at iiti.ac.in
Mohit KumarVIT-AP UniversityVerified email at vitap.ac.in
Hui WangProfessor of Computer Science, Queen's University BelfastVerified email at qub.ac.uk
Vikram GadreProfessor, Electrical Engineering, IIT BombayVerified email at ee.iitb.ac.in
Girijesh PrasadProfessor of Intelligent Systems, University of Ulster, Magee CampusVerified email at ulster.ac.uk
Vivek KanhangadAssociate ProfessorVerified email at iiti.ac.in
Dr. Dinesh BhatiIIT BombayVerified email at acropolis.in
Pradeep Kumar ChaudharyDoctoral Research Scholar, Department of EE, IIT IndoreVerified email at iiti.ac.in
Rahul SharmaIndian Institute of Technology KanpurVerified email at iitk.ac.in

Ram Bilas Pachori

Professor, Electrical Engineering, IIT Indore

Verified email at iiti.ac.in - Homepage

Signal Processing Image Processing Machine Learning AI and IoT in Healthcare Brain-Computer Interfacing


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Classification of seizure and nonseizure EEG signals using empirical mode decomposition V Bajaj, RB Pachori IEEE Transactions on Information Technology in BioMedicine 16 (6), 1135-1142, 2012	511	2012
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions R Sharma, RB Pachori Expert Systems with Applications 42 (03), 1106-1117, 2015	401	2015
A multivariate approach for patient specific EEG seizure detection using empirical wavelet transform A Bhattacharyya, RB Pachori IEEE Transactions on Biomedical Engineering 64 (09), 2003-2015, 2017	339	2017
A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension M Sharma, RB Pachori, UR Acharya Pattern Recognition Letters 94, 172-179, 2017	339	2017
Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals R Sharma, RB Pachori, UR Acharya Entropy 17 (2), 669-691, 2015	314	2015
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions RB Pachori, S Patidar Computer Methods and Programs in Biomedicine 113 (2), 494-502, 2014	290	2014
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study SR Nayak, DR Nayak, U Sinha, V Arora, RB Pachori Biomedical Signal Processing and Control 64 (102365), 1-12, 2021	282	2021
Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition RB Pachori Research Letters in Signal Processing 2008 (Article ID 293056), 1-5, 2008	269	2008
Classification of ictal and seizure-free EEG signals using fractional linear prediction V Joshi, RB Pachori, A Vijesh Biomedical Signal Processing and Control 9, 1-5, 2014	268	2014
Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition RB Pachori, V Bajaj Computer Methods and Programs in Biomedicine 104 (3), 373-381, 2011	260	2011
Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images S Maheshwari, RB Pachori, UR Acharya IEEE Journal of Biomedical and Health Informatics 21 (03), 803-813, 2017	252	2017
Tunable-Q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals A Bhattacharyya, RB Pachori, A Upadhyay, UR Acharya Applied Sciences 7 (4), 385, 2017	232	2017
Automatic classification of sleep stages based on the time-frequency image of EEG signals V Bajaj, RB Pachori Computer Methods and Programs in Biomedicine 112 (3), 320-328, 2013	229	2013
Automated diagnosis of epilepsy using key-point based local binary pattern of EEG signals AK Tiwari, RB Pachori, V Kanhangad, BK Panigrahi IEEE Journal of Biomedical and Health Informatics 21 (4), 888-896, 2017	222	2017
A novel approach for automated detection of focal EEG signals using empirical wavelet transform A Bhattacharyya, M Sharma, RB Pachori, P Sircar, UR Acharya Neural Computing and Applications 29 (08), 47-57, 2018	215	2018
A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry P Gaur, RB Pachori, H Wang, G Prasad Expert Systems with Applications 95, 201-211, 2018	208	2018
An integrated index for the identification of focal electroencephalogram signals using discrete wavelet transform and entropy measures R Sharma, RB Pachori, UR Acharya Entropy 17 (8), 5218-5240, 2015	194	2015
Cross-subject emotion recognition using flexible analytic wavelet transform from EEG signals V Gupta, MD Chopda, RB Pachori IEEE Sensors Journal 19 (06), 2266-2274, 2019	183	2019
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals S Patidar, RB Pachori, UR Acharya Knowledge-Based Systems 82, 1-10, 2015	171	2015
An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks M Sharma, A Dhere, RB Pachori, UR Acharya Knowledge-Based Systems 118, 217–227, 2017	164	2017

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