Ram Bilas Pachori
Ram Bilas Pachori
Professor, Electrical Engineering, IIT Indore
Verified email at iiti.ac.in - Homepage
TitleCited byYear
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
3032012
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
2052015
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
1852008
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
1682011
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
1622015
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
1582014
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
1482014
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
1092013
EEG signal analysis using FB expansion and second-order linear TVAR process
RB Pachori, P Sircar
Signal Processing 88 (2), 415-420, 2008
1062008
A new technique to reduce cross terms in the Wigner distribution
RB Pachori, P Sircar
Digital Signal Processing 17 (02), 466-474, 2007
1032007
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
952015
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
922017
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
922015
Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals
V Bajaj, RB Pachori
Biomedical Engineering Letters 3 (1), 17-21, 2013
872013
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
822015
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
752017
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
702017
Empirical mode decomposition based classification of focal and non-focal EEG signals
R Sharma, RB Pachori, S Gautam
Medical Biometrics (ICMB), 2014 International Conference on, 135-140, 2014
662014
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
652017
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
642018
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