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 | 408 | 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 | 300 | 2015 |
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 | 246 | 2015 |
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 | 233 | 2008 |
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 | 229 | 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 | 213 | 2011 |
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 | 211 | 2014 |
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 | 209 | 2017 |
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 | 174 | 2017 |
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 | 161 | 2017 |
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 | 150 | 2015 |
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 | 147 | 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 | 144 | 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 | 140 | 2013 |
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 | 135 | 2015 |
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 | 133 | 2018 |
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 | 126 | 2015 |
EEG signal analysis using FB expansion and second-order linear TVAR process RB Pachori, P Sircar Signal Processing 88 (2), 415-420, 2008 | 125 | 2008 |
A new technique to reduce cross terms in the Wigner distribution RB Pachori, P Sircar Digital Signal Processing 17 (02), 466-474, 2007 | 120 | 2007 |
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 | 119 | 2013 |