| 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 | 312 | 2014 |
| Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals S Patidar, T Panigrahi Biomedical Signal Processing and Control 34, 74-80, 2017 | 184 | 2017 |
| 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 | 184 | 2015 |
| An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism S Patidar, RB Pachori, A Upadhyay, UR Acharya Applied Soft Computing 50, 71-78, 2017 | 129 | 2017 |
| Classification of cardiac sound signals using constrained tunable-Q wavelet transform S Patidar, RB Pachori Expert Systems with Applications 41 (16), 7161-7170, 2014 | 119 | 2014 |
| Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals S Patidar, RB Pachori, N Garg Expert Systems with Applications 42 (7), 3315-3326, 2015 | 105 | 2015 |
| Accurate tunable-Q wavelet transform based method for QRS complex detection A Sharma, S Patidar, A Upadhyay, UR Acharya Computers & Electrical Engineering 75, 101-111, 2019 | 75 | 2019 |
| Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform S Patidar, RB Pachori Biomedical Signal Processing and Control 8 (6), 559-567, 2013 | 66 | 2013 |
| Classification of normal and epileptic seizure EEG signals based on empirical mode decomposition RB Pachori, R Sharma, S Patidar Complex system modelling and control through intelligent soft computations …, 2014 | 65 | 2014 |
| Atrial fibrillation detection using convolutional neural networks BS Chandra, CS Sastry, S Jana, S Patidar 2017 Computing in cardiology (CINC), 1-4, 2017 | 53 | 2017 |
| Automated pre-screening of arrhythmia using hybrid combination of Fourier–Bessel expansion and LSTM A Sharma, N Garg, S Patidar, R San Tan, UR Acharya Computers in biology and medicine 120, 103753, 2020 | 40 | 2020 |
| Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform NK Sawant, S Patidar, N Nesaragi, UR Acharya Biocybernetics and Biomedical Engineering 41 (1), 111-126, 2021 | 26 | 2021 |
| Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis N Nesaragi, S Patidar, V Aggarwal Computers in biology and medicine 134, 104430, 2021 | 25 | 2021 |
| Early prediction of sepsis from clinical data using ratio and power-based features N Nesaragi, S Patidar Critical care medicine 48 (12), e1343-e1349, 2020 | 21 | 2020 |
| Tunable-Q wavelet transform based optimal compression of cardiac sound signals S Patidar, RB Pachori 2016 IEEE Region 10 Conference (TENCON), 2193-2197, 2016 | 18 | 2016 |
| A correlation matrix-based tensor decomposition method for early prediction of sepsis from clinical data N Nesaragi, S Patidar, V Thangaraj Biocybernetics and Biomedical Engineering 41 (3), 1013-1024, 2021 | 15 | 2021 |
| Constrained tunable-Q wavelet transform based analysis of cardiac sound signals S Patidar, RB Pachori Aasri Procedia 4, 57-63, 2013 | 15 | 2013 |
| Classification of heart disorders based on tunable-Q wavelet transform of cardiac sound signals S Patidar, RB Pachori Chaos Modeling and Control Systems Design, 239-264, 2015 | 13 | 2015 |
| A continuous wavelet transform based method for detecting heart valve disorders using phonocardiograph signals S Patidar, RB Pachori Convergence and Hybrid Information Technology: 6th International Conference …, 2012 | 11 | 2012 |
| Automated detection of atrial fibrillation using Fourier-Bessel expansion and teager energy operator from electrocardiogram signals S Patidar, A Sharma, N Garg 2017 Computing in Cardiology (CinC), 1-4, 2017 | 10 | 2017 |
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
