| 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 | 377 | 2017 |
| An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks M Sharma, A Dhere, RB Pachori, UR Acharya Knowledge-Based Systems 118, 217-227, 2017 | 179 | 2017 |
| An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank M Sharma, D Goyal, PV Achuth, UR Acharya Computers in biology and medicine 98, 58-75, 2018 | 166 | 2018 |
| An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals M Sharma, PV Achuth, D Deb, SD Puthankattil, UR Acharya Cognitive Systems Research 52, 508-520, 2018 | 130 | 2018 |
| Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification D Bhati, M Sharma, RB Pachori, VM Gadre Digital Signal Processing 62, 259-273, 2017 | 129 | 2017 |
| A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank M Sharma, R San Tan, UR Acharya Computers in biology and medicine 102, 341-356, 2018 | 111 | 2018 |
| A novel approach to detect epileptic seizures using a combination of tunable-Q wavelet transform and fractal dimension M Sharma, Pachori ournal of Mechanics in Medicine and Biology 17 (4), 1740003 (20 pages), 2017 | 111 | 2017 |
| Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals M Sharma, S Agarwal, UR Acharya Computers in biology and medicine 100, 100-113, 2018 | 104 | 2018 |
| Automated detection of abnormal EEG signals using localized wavelet filter banks M Sharma, S Patel, UR Acharya Pattern Recognition Letters 133, 188-194, 2020 | 101 | 2020 |
| MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection M Sharma, AA Bhurane, UR Acharya Knowledge-Based Systems 160, 265-277, 2018 | 101 | 2018 |
| 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 | 94 | 2021 |
| A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank M Sharma, UR Acharya Pattern Recognition Letters 125, 235-240, 2019 | 85 | 2019 |
| A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals M Sharma, M Raval, UR Acharya Informatics in Medicine Unlocked 16, 100170, 2019 | 82 | 2019 |
| Dual-tree complex wavelet transform-based features for automated alcoholism identification M Sharma, P Sharma, RB Pachori, UR Acharya International Journal of Fuzzy Systems 20, 1297-1308, 2018 | 75 | 2018 |
| Automated heartbeat classification and detection of arrhythmia using optimal orthogonal wavelet filters M Sharma, RS Tan, UR Acharya Informatics in Medicine Unlocked 16, 100221, 2019 | 72 | 2019 |
| A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals M Sharma, D D, UR Acharya Applied Intelligence 47 (2), 1-11, 2017 | 71 | 2017 |
| Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with EEG signals M Sharma, J Tiwari, UR Acharya International journal of environmental research and public health 18 (6), 3087, 2021 | 67 | 2021 |
| Automated detection of schizophrenia using optimal wavelet-based norm features extracted from single-channel EEG M Sharma, UR Acharya Cognitive Neurodynamics, 1-14, 2021 | 64 | 2021 |
| An efficient detection of congestive heart failure using frequency localized filter banks for the diagnosis with ECG signals AA Bhurane, M Sharma, R San-Tan, UR Acharya Cognitive Systems Research 55, 82-94, 2019 | 59 | 2019 |
| Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals M Sharma, HS Dhiman, UR Acharya Computers in Biology and Medicine 131, 104246, 2021 | 54 | 2021 |
Rajendra AcharyaProfessor, University of Southern Queensland; Cogninet Australia Pty Ltd, Australia在 usq.edu.au 的电子邮件经过验证
