RESEARCHER PROFILE
Rajesh Kumar Tripathy
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Birla Institute of Technology and Science, Pilani
Rajesh Kumar Tripathy works in ECG Monitoring and Analysis, Artificial Intelligence in Healthcare, EEG and Brain-Computer Interfaces, Cardiac electrophysiology and arrhythmias, Non-Invasive Vital Sign Monitoring. Recorded institutional associations include Birla Institute of Technology and Science - Hyderabad Campus, Government College of Engineering, Keonjhar, Birla Institute of Technology and Science, Pilani.
139Publications
4,213Citations
38H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction
2015 · 296 citationsUse of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework
2018 · 158 citationsAutomated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals
2020 · 150 citationsAutomated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
2021 · 140 citationsTime-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals
2019 · 136 citationsA Novel Approach for Detection of Myocardial Infarction From ECG Signals of Multiple Electrodes
2019 · 130 citationsA Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition
2020 · 121 citationsDetection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition
2016 · 117 citationsTime–Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals
2022 · 104 citationsAutomated Detection of Heart Valve Disorders From the PCG Signal Using Time-Frequency Magnitude and Phase Features
2019 · 96 citationsDetection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
2020 · 96 citationsIdentification of electromechanical oscillatory modes based on variational mode decomposition
2018 · 93 citationsEEG-Rhythm Specific Taylor–Fourier Filter Bank Implemented With O-Splines for the Detection of Epilepsy Using EEG Signals
2020 · 90 citationsEEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks
2021 · 90 citationsLocalization of Myocardial Infarction From Multi-Lead ECG Signals Using Multiscale Analysis and Convolutional Neural Network
2019 · 84 citationsAFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals
2021 · 74 citationsAutomated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme
2019 · 72 citationsPredicting the yield of stepped corrugated solar distiller using kernel-based machine learning models
2022 · 72 citationsWavelet Domain Optimized Savitzky–Golay Filter for the Removal of Motion Artifacts From EEG Recordings
2020 · 70 citationsApplication of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals
2017 · 69 citationsDetection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis
2020 · 67 citationsAutomated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
2019 · 62 citationsDetection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network
2020 · 59 citationsNovel Approaches for the Removal of Motion Artifact From EEG Recordings
2019 · 58 citationsDetection of Life Threatening Ventricular Arrhythmia Using Digital Taylor Fourier Transform
2018 · 53 citations