| Multiscale energy and eigenspace approach to Detection and Localization of Myocardial Infarction LN Sharma, RK Tripathy, S Dandapat IEEE Transactions on Biomedical Engineering 62 (7), 1827 - 1837, 2015 | 336 | 2015 |
| Use of features from RR-time series and EEG signals for Automated Classification of Sleep Stages in Deep Neural Network Framework RK Tripathy, UR Acharya Biocybernetics and Biomedical Engineering, 2018 | 181 | 2018 |
| Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals SK Ghosh, RN Ponnalagu, RK Tripathy, UR Acharya Computers in biology and medicine 118, 103632, 2020 | 164 | 2020 |
| Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals D Maheshwari, SK Ghosh, RK Tripathy, M Sharma, UR Acharya Computers in Biology and Medicine 134, 104428, 2021 | 147 | 2021 |
| A Novel Approach for Detection of Myocardial Infarction from ECG Signals of Multiple Electrodes RK Tripathy, A Bhataacharyya, RB Pachori IEEE Sensors Journal 19 (12), 4509 - 4517, 2019 | 142 | 2019 |
| Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition RK Tripathy, LN Sharma, S Dandapat Journal of Medical Systems 40 (4), 1-13, 2016 | 134 | 2016 |
| Time-frequency domain deep convolutional neural network for the classification of focal and non-focal EEG signals S Madhavan, RK Tripathy, RB Pachori IEEE Sensors Journal 20 (6), 3078-3086, 2020 | 132 | 2020 |
| A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition A Bhattacharyya, RK Tripathy, L Garg, RB Pachori IEEE Sensors Journal 21 (3), 3579-3591, 2021 | 127 | 2021 |
| Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals J Karhade, S Dash, SK Ghosh, DK Dash, RK Tripathy IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 102 | 2022 |
| Detection of Shockable Ventricular Cardiac Arrhythmias from ECG Signals using FFREWT Filter-bank and Deep Convolutional Neural Network R Panda, S Jain, RK Tripathy, UR Acharya Computers in Biology and Medicine, 2020 | 97 | 2020 |
| EEGANet: Removal of Ocular Artifact from the EEG Signal Using Generative Adversarial Networks P Sawangjai, M Trakulruangroj, C Boonnag, M Piriyajitakonkij, ... IEEE Journal of Biomedical and Health Informatics, 2022 | 96 | 2022 |
| Automated detection of heart valve disorders from the PCG signal using time-frequency magnitude and phase features SK Ghosh, RK Tripathy, RN Ponnalagu, RB Pachori IEEE Sensors Letters 3 (12), 1-4, 2019 | 96 | 2019 |
| EEG-Rhythm Specific Taylor-Fourier filter bank Implemented with O-splines for the Detection of Epilepsy using EEG Signals JAO Serna, MRA Paternina, AZ mendez, RK Tripathy, RB Pachori IEEE Sensors Journal, 2020 | 94 | 2020 |
| Identification of electromechanical oscillatory modes based on variational mode decomposition MRA Paternina, RK Tripathy, AZ Mendez, D Dotta Electric Power Systems Research 167 (2019), 71-85, 2019 | 93 | 2019 |
| Localization of Myocardial Infarction from Multi-Lead ECG Signals using Multiscale Analysis and Convolutional Neural Network RK Tripathy, A Bhatacharyya, RB Pachori IEEE Sensors Journal, 2019 | 86 | 2019 |
| Novel Approaches for the Removal of Motion Artifact from EEG Recordings P Gajbhiye, RK Tripathy, A Bhatacharyya, RB Pachori IEEE Sensors Journal, 2019 | 82 | 2019 |
| Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts from EEG Recordings P Gajbhiye, N Mingchinda, W Chen, SC Mukhopadhyay, T Wilaiprasitporn, ... IEEE Transactions on Instrumentation and Measurement, 1-11, 2021 | 78 | 2021 |
| Detection of Sleep Apnea from Heart Beat Interval and ECG derived respiration Signals using Sliding Mode Singular Spectrum Analysis H Singh, RK Tripathy, RB Pachori Digital Signal Processing, Elsevier, 2020 | 78 | 2020 |
| Automated Detection of Congestive Heart Failure from Electrocardiogram Signal using Stockwell Transform and Hybrid Classification Scheme RK Tripathy, MRA Paternina, AZ Mendez, JG Arrieta, GR Naik Computer methods and programs in biomedicine, 2019 | 78 | 2019 |
| Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals RK Tripathy Biocybernetics and Biomedical Engineering, 2018 | 76 | 2018 |
Ram Bilas PachoriFellow IEEE, INAE; Institute Chair Professor & Professor (HAG), IIT IndoreVerified email at iiti.ac.in
