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Ram Bilas Pachori
Ram Bilas Pachori
Professor, Electrical Engineering, IIT Indore
Verified email at iiti.ac.in - Homepage
Title
Cited by
Cited by
Year
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
4832012
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
3722015
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
3022017
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
2862015
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
2762017
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
2732014
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
2622008
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
2542014
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
2432011
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
2212017
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
2102013
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
2072017
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
1992017
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
1872018
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
1772015
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
1612018
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
1602021
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
1562015
Classification of seizure and seizure-free EEG signals using local binary patterns
TS Kumar, V Kanhangad, RB Pachori
Biomedical Signal Processing and Control 15, 33-40, 2015
1462015
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
1452017
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