| Automated diagnosis of myocardial infarction ECG signals using sample entropy in flexible analytic wavelet transform framework M Kumar, RB Pachori, UR Acharya Entropy 19 (9), 488, 2017 | 151 | 2017 |
| Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals M Kumar, RB Pachori, UR Acharya Biomedical signal processing and control 31, 301-308, 2017 | 145 | 2017 |
| An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals M Kumar, RB Pachori, UR Acharya Expert Systems with Applications 63, 165-172, 2016 | 108 | 2016 |
| Automated diagnosis of atrial fibrillation ECG signals using entropy features extracted from flexible analytic wavelet transform M Kumar, RB Pachori, UR Acharya Biocybernetics and Biomedical Engineering 38 (3), 564-573, 2018 | 106 | 2018 |
| EVDHM-ARIMA-based time series forecasting model and its application for COVID-19 cases RR Sharma, M Kumar, S Maheshwari, KP Ray IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 95 | 2020 |
| Decision support system for focal EEG signals using tunable-Q wavelet transform R Sharma, M Kumar, RB Pachori, UR Acharya Journal of Computational Science 20, 52-60, 2017 | 85 | 2017 |
| Use of accumulated entropies for automated detection of congestive heart failure in flexible analytic wavelet transform framework based on short-term HRV signals M Kumar, RB Pachori, UR Acharya Entropy 19 (3), 92, 2017 | 73 | 2017 |
| Application of empirical mode decomposition–based features for analysis of normal and cad heart rate signals S Sood, M Kumar, RB Pachori, UR Acharya Journal of mechanics in medicine and biology 16 (01), 1640002, 2016 | 47 | 2016 |
| Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method R Dubey, M Kumar, A Upadhyay, RB Pachori Biomedical Signal Processing and Control 71, 103098, 2022 | 45 | 2022 |
| Joint time-frequency domain-based CAD disease sensing system using ECG signals RR Sharma, M Kumar, RB Pachori IEEE Sensors Journal 19 (10), 3912-3920, 2019 | 42 | 2019 |
| An improved online paradigm for screening of diabetic patients using RR-interval signals RB Pachori, M Kumar, P Avinash, K Shashank, UR Acharya Journal of Mechanics in Medicine and Biology 16 (01), 1640003, 2016 | 33 | 2016 |
| LBP-based information assisted intelligent system for COVID-19 identification S Maheshwari, RR Sharma, M Kumar Computers in Biology and Medicine 134, 104453, 2021 | 23 | 2021 |
| Automated CAD identification system using time–frequency representation based on eigenvalue decomposition of ECG signals RR Sharma, M Kumar, RB Pachori Machine Intelligence and Signal Analysis, 597-608, 2019 | 23 | 2019 |
| Domain Adaptation-Based Deep Calibration of Low-Cost PM₂. ₅ Sensors SK Jha, M Kumar, V Arora, SN Tripathi, VM Motghare, AA Shingare, ... IEEE Sensors Journal 21 (22), 25941-25949, 2021 | 18 | 2021 |
| Few-Shot Calibration of Low-Cost Air Pollution (PM) Sensors Using Meta Learning K Yadav, V Arora, M Kumar, SN Tripathi, VM Motghare, KA Rajput IEEE Sensors Letters 6 (5), 1-4, 2022 | 14 | 2022 |
| Classification of EMG signals using eigenvalue decomposition-based time-frequency representation RR Sharma, M Kumar, RB Pachori Biomedical and Clinical Engineering for Healthcare Advancement, 96-118, 2020 | 14 | 2020 |
| Human emotion recognition from EEG signals: model evaluation in DEAP and SEED datasets M Kumar, M Molinas Proceedings of the First Workshop on Artificial Intelligence for Human …, 2022 | 11 | 2022 |
| Combined empirical mode decomposition and phase space reconstruction based psychologically stressed and non-stressed state classification from cardiac sound signals A Cheema, M Singh, M Kumar, G Setia Biomedical Signal Processing and Control 82, 104585, 2023 | 7 | 2023 |
| Decoding Emotions From EEG Responses Elicited by Videos Using Machine Learning Techniques on Two Datasets ECS Neverlien, R Lu, M Kumar, M Molinas 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Evolutionary transfer optimization-based approach for automated ictal pattern recognition using brain signals P Swami, J Maheshwari, M Kumar, M Bhatia Frontiers in Human Neuroscience 18, 1386168, 2024 | | 2024 |
Ram Bilas PachoriProfessor, Department of Electrical Engineering, Indian Institute of Technology Indore在 iiti.ac.in 的电子邮件经过验证
