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Rajesh Kumar Tripathy
Rajesh Kumar Tripathy
Birla Institute of Technology and Science (BITS) Pilani, Hyderabad
Bestätigte E-Mail-Adresse bei hyderabad.bits-pilani.ac.in - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3102015
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
1622018
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
1352020
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
1272019
Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition
RK Tripathy, LN Sharma, S Dandapat
Journal of Medical Systems 40 (4), 1-13, 2016
1262016
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
1202021
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
1132020
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
1102021
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
812019
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
802020
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
782020
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
782019
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
772019
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
752022
Novel Approaches for the Removal of Motion Artifact from EEG Recordings
P Gajbhiye, RK Tripathy, A Bhatacharyya, RB Pachori
IEEE Sensors Journal, 2019
712019
Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals
RK Tripathy
Biocybernetics and Biomedical Engineering, 2018
712018
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
702019
Automated Detection of Sleep Apnea using Sparse Residual Entropy Features with Various Dictionaries extracted From Heart rate and EDR signals
V Ch.S.S.S, RK Tripathy, UR Acharya
Computers in Biology and Medicine, 2019
682019
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
672020
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
622022
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