Rajesh Kumar Tripathy
Rajesh Kumar Tripathy
Assistant Professor at BITS Pilani, Hyderabad
Verified email at iitg.ernet.in - Homepage
Cited by
Cited by
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
Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition
RK Tripathy, LN Sharma, S Dandapat
Journal of Medical Systems 40 (4), 1-13, 2016
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
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
Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals
RK Tripathy
Biocybernetics and Biomedical Engineering, 2018
A new way of quantifying diagnostic information from multilead electrocardiogram for cardiac disease classification
RK Tripathy, LN Sharma, S Dandapat
IET Healthcare Technology Letters 1 (4), 98-103, 2014
Automated Detection of Atrial fibrillation ECG signals using two stage VMD and Atrial fibrillation Diagnosis Index
RK Tripathy, MR Arrieta Paternina, JG Arrieta, P Pattanaik
Journal of Mechanics in Medicine and Biology, 1740044, 2017
Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features
RK Tripathy, S Dandapat
Journal of Medical Systems 40 (6), 1-9, 2016
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
Artificial Intelligence-based classification of Breast Cancer using cellular images
RK Tripathy, S Mahanta, S Paul
RSC Advances 4 (18), 9349-9355, 2014
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
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, 2019
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
Automated Detection of Heart Ailments from 12-lead ECG using Complex Wavelet Subband Bispectrum Features
RK Tripathy, S Dandapat
IET Healthcare Technology Letters, 2017
Gender classification from ECG signal analysis using least square support vector machine
RK Tripathy, A Acharya, SK Choudhary
American Journal of Signal Processing 2 (5), 145-149, 2012
Fault detection and classification in transmission lines based on a PSD index
D Guillen, MRA Paternina, J Ortiz-Bejar, RK Tripathy, A Zamora-Mendez, ...
IET Generation, Transmission & Distribution 12 (18), 4070-4078, 2018
Detection of myocardial infarction from vectorcardiogram using relevance vector machine
RK Tripathy, S Dandapat
Signal, Image and Video Processing, 2017
Detection of Life Threatening Ventricular Arrhythmia using Digital Taylor Fourier Transform
RK Tripathy, AZ Mendez, JEA De la O Serna, MAR Paternina, JG Arrieta, ...
Frontiers in Physiology, 2018
Analysis of Physiological Signals using State Space Correlation Entropy
RK Tripathy, S Deb, S Dandapat
IET Healthcare Technology Letters, 2016
Quantification of Diagnostic Information from Electrocardiogram Signal: A Review
S Dandapat, LN Sharma, RK Tripathy
Advances in Communication and Computing 347, 319, 2015
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