R. Tripathy

发表

EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks

C. Boonnag, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn, 2021, IEEE Journal of Biomedical and Health Informatics.

Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning

Dinesh Kumar Dash, R. B. Pachori, R. Tripathy, 2023, IEEE Transactions on Instrumentation and Measurement.

Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction

Samarendra Dandapat, L. N. Sharma, R. K. Tripathy, 2015, IEEE Transactions on Biomedical Engineering.

Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition

Samarendra Dandapat, R. K. Tripathy, L. N. Sharma, 2016, Journal of Medical Systems.

A Novel Approach for Detection of Myocardial Infarction From ECG Signals of Multiple Electrodes

Ram Bilas Pachori, Abhijit Bhattacharyya, Rajesh Kumar Tripathy, 2019, IEEE Sensors Journal.

Wavelet Domain Optimized Savitzky–Golay Filter for the Removal of Motion Artifacts From EEG Recordings

Wei Chen, Theerawit Wilaiprasitporn, Subhas Chandra Mukhopadhyay, 2021, IEEE Transactions on Instrumentation and Measurement.

Elimination of Ocular Artifacts From Single Channel EEG Signals Using FBSE-EWT Based Rhythms

R. K. Tripathy, R. B. Pachori, P. Gajbhiye, 2020, IEEE Sensors Journal.

Implementation of fast ICA using memristor crossbar arrays for blind image source separations

Souvik Kundu, Rajesh Kumar Tripathy, Arvind Subramaniam, 2020, IET Circuits Devices Syst..

Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals

R. Tripathy, Shaswati Dash, Haarika Manda, 2023, 2023 National Conference on Communications (NCC).

Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine

R. K. Tripathy, R. N. Ponnalagu, S. Ghosh, 2021, 2021 IEEE Sensors.

Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals

Ram Bilas Pachori, Rajesh Kumar Tripathy, R. B. Pachori, 2020, IEEE Sensors Journal.

Automated Detection of Heart Valve Disorders From the PCG Signal Using Time-Frequency Magnitude and Phase Features

Ram Bilas Pachori, R. K. Tripathy, Rajesh Kumar Tripathy, 2019, IEEE Sensors Letters.

Quantification of Diagnostic Information from Electrocardiogram Signal: A Review

Samarendra Dandapat, L. N. Sharma, R. K. Tripathy, 2015 .

Heart Sound Data Acquisition and Preprocessing Techniques

R. K. Tripathy, Samit Kumar Ghosh, Ponnalagu Ramanathan Nagarajan, 2020 .

Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals

U Rajendra Acharya, R K Tripathy, ChS S S Viswabhargav, 2019, Comput. Biol. Medicine.

Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings

R. K. Tripathy, R. N. Ponnalagu, U. Acharya, 2020, BioMed research international.

Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis

U Rajendra Acharya, Pranjali Gajbhiye, R K Tripathy, 2020, Comput. Biol. Medicine.

Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG

M. Agrawal, R. Tripathy, Chhaviraj Chauhan, 2023, Biomed. Signal Process. Control..

Multivariate Sliding-Mode Singular Spectrum Analysis for the Decomposition of Multisensor Time Series

Rajesh Kumar Tripathy, Sahil Jain, Rohan Panda, 2020, IEEE Sensors Letters.

Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework

U. Rajendra Acharya, Rajesh Kumar Tripathy, U. Acharya, 2018 .

ECG beat classification based on discriminative multilevel feature analysis and deep learning approach

A. Das, R. Tripathy, Nabanita Sinha, 2022, Biomed. Signal Process. Control..

Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals

U. Rajendra Acharya, Rajesh Kumar Tripathy, Pranjali Gajbhiye, 2020, Entropy.

Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis

Ram Bilas Pachori, Himali Singh, Rajesh K. Tripathy, 2020, Digit. Signal Process..

EEG-Based Detection of Focal Seizure Area Using FBSE-EWT Rhythm and SAE-SVM Network

Ram Bilas Pachori, Rajesh Kumar Tripathy, T. Siddharth, 2020, IEEE Sensors Journal.

Localization of Myocardial Infarction From Multi-Lead ECG Signals Using Multiscale Analysis and Convolutional Neural Network

Ram Bilas Pachori, Abhijit Bhattacharyya, R. K. Tripathy, 2019, IEEE Sensors Journal.

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals

R. K. Tripathy, Manish Sharma, U. Rajendra Acharya, 2021, Comput. Biol. Medicine.

Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals

U. Rajendra Acharya, R. K. Tripathy, Samit Kumar Ghosh, 2020, Comput. Biol. Medicine.

A Transform Domain Approach for the Compression of Fetal Phonocardiogram Signal

S. Ghosh, Ashirwad Ray, P. N, 2021, IEEE Sensors Letters.

Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals

R. B. Pachori, P. Gajbhiye, Thapanun Sudhawiyangkul, 2023, Biomed. Signal Process. Control..

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals

Priya Ranjan Muduli, R. K. Tripathy, Jay Karhade, 2021, Comput. Biol. Medicine.

Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network

Shambhavi Gupta, M. R. Prusty, Neha Muralidharan, 2022, Applied Soft Computing.

Automated detection of heart ailments from 12-lead ECG using complex wavelet sub-band bi-spectrum features

Samarendra Dandapat, Rajesh Kumar Tripathy, S. Dandapat, 2017, Healthcare technology letters.

Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features

Samarendra Dandapat, R. K. Tripathy, S. Dandapat, 2016, Journal of Medical Systems.

Multiresolution inter-sample and inter-lead eigen error features for classification of cardiac diseases

R. K. Tripathy, S. Dandapat, S. Dandapat, 2016, 2016 Twenty Second National Conference on Communication (NCC).

Cardiac arrhythmia classification from multilead ECG using multiscale non-linear analysis

S. Dandapat, R. K. Tripathy, A. Chetan, 2015, 2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON).

Detection of cardiac ailments from multilead ECG using diagnostic eigen error features

R. K. Tripathy, S. Dandapat, L. Sharma, 2015, 2015 IEEE Power, Communication and Information Technology Conference (PCITC).

Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals

R. K. Tripathy, R. Tripathy, 2018 .

Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner–Ville Distribution

Ram Bilas Pachori, Rishi Raj Sharma, Rajesh Kumar Tripathy, 2020, Circuits, Systems, and Signal Processing.

EEG-Rhythm Specific Taylor–Fourier Filter Bank Implemented With O-Splines for the Detection of Epilepsy Using EEG Signals

Ram Bilas Pachori, Rajesh Kumar Tripathy, R. B. Pachori, 2020, IEEE Sensors Journal.

Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network

U Rajendra Acharya, R K Tripathy, Rohan Panda, 2020, Comput. Biol. Medicine.

Tensor-Domain Machine Learning Based Cardiac Diseases Detection Using 12-lead ECG

M. Agrawal, R. Tripathy, Chhaviraj Chauhan, 2023, 2023 National Conference on Communications (NCC).

Automated Classification of Mental Arithmetic Tasks Using Recurrent Neural Network and Entropy Features Obtained from Multi-Channel EEG Signals

Sibasankar Padhy, Abhishek Varshney, Rajesh Kumar Tripathy, 2021, Electronics.

Automated Heart Sound Activity Detection From PCG Signal Using Time–Frequency-Domain Deep Neural Network

R. N. Ponnalagu, R. B. Pachori, S. Ghosh, 2022, IEEE Transactions on Instrumentation and Measurement.

Time–Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals

Dinesh Kumar Dash, S. Ghosh, R. Tripathy, 2022, IEEE Transactions on Instrumentation and Measurement.

Higher Order Derivative-Based Integrated Model for Cuff-Less Blood Pressure Estimation and Stratification Using PPG Signals

R. Tripathy, Shresth Gupta, Abhishek Sharma, 2022, IEEE Sensors Journal.

dSVRI: A PPG-Based Novel Feature for Early Diagnosis of Type-II Diabetes Mellitus

R. Tripathy, Shresth Gupta, Abhishek Sharma, 2022, IEEE Sensors Letters.

Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals

R. Tripathy, Shresth Gupta, Abhishek Sharma, 2023, IEEE Transactions on Instrumentation and Measurement.

Least Square Support Vector Machine Modelling of Breakdown Voltage of Solid Insulating Materials in the Presence of Voids

R. K. Tripathy, S. Mohanty, S. Behera, 2013 .

Detection of Different Stages of Anxiety From Single-Channel Wearable ECG Sensor Signal Using Fourier–Bessel Domain Adaptive Wavelet Transform

Dinesh Kumar Dash, R. B. Pachori, S. Ghosh, 2023, IEEE Sensors Letters.

Multiscale Domain Gradient Boosting Models for the Automated Recognition of Imagined Vowels Using Multichannel EEG Signals

Dinesh Kumar Dash, R. B. Pachori, G. Panda, 2022, IEEE Sensors Letters.

Diagnostic measure to quantify loss of clinical components in multi-lead electrocardiogram.

S. Dandapat, R. Tripathy, Lavanya Sharma, 2016, Healthcare technology letters.

Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System Using Multiscale Deep CNN

Linga Reddy Cenkeramaddi, Rajesh Reddy Yakkati, R. Tripathy, 2022, IEEE Sensors Journal.

Automated Detection of Pulmonary Diseases From Lung Sound Signals Using Fixed-Boundary-Based Empirical Wavelet Transform

R. B. Pachori, Adyasha Rath, G. Panda, 2022, IEEE Sensors Letters.

A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition

Ram Bilas Pachori, Abhijit Bhattacharyya, Rajesh Kumar Tripathy, 2021, IEEE Sensors Journal.

Multichannel Multiscale Two-Stage Convolutional Neural Network for the Detection and Localization of Myocardial Infarction Using Vectorcardiogram Signal

Jay Karhade, Rajesh Kumar Tripathy, Samit Kumar Ghosh, 2021, Applied Sciences.

Fourier-Bessel Domain based Discrete Stockwell Transform for the Analysis of Non-stationary Signals

R. B. Pachori, S. Ghosh, G. Panda, 2022, 2022 IEEE India Council International Subsections Conference (INDISCON).

Discrimination of Focal and Non-Focal Seizures From EEG Signals Using Sliding Mode Singular Spectrum Analysis

Ram Bilas Pachori, R. K. Tripathy, R. B. Pachori, 2019, IEEE Sensors Journal.

An investigation of the breast cancer classification using various machine learning techniques

Rajesh Kumar Tripathy, R. Tripathy, 2013 .

A two-stage deep CNN architecture for the classification of low-risk and high-risk hypertension classes using multi-lead ECG signals

U. Rajendra Acharya, Rajesh Kumar Tripathy, Piyush Kumar Jain, 2020 .

Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme

Ganesh R. Naik, R. K. Tripathy, Alejandro Zamora-Méndez, 2019, Comput. Methods Programs Biomed..

AUTOMATED DETECTION OF ATRIAL FIBRILLATION ECG SIGNALS USING TWO STAGE VMD AND ATRIAL FIBRILLATION DIAGNOSIS INDEX

R. K. Tripathy, M. Paternina, Juan G. Arrieta, 2017 .

Analysis of physiological signals using state space correlation entropy.

S. Dandapat, S. Deb, R. Tripathy, 2017, Healthcare technology letters.

Evaluation of Performance Metrics and Denoising of PCG Signal using Wavelet Based Decomposition

S. Ghosh, R. Tripathy, P. R. N., 2020, 2020 IEEE 17th India Council International Conference (INDICON).

Detection of Atrial Fibrillation From PPG Sensor Data Using Variational Mode Decomposition

R. Tripathy, Dhanhanjay Pachori, T. K. Jain, 2024, IEEE Sensors Letters.

Taguchi integrated Least Square Support Vector Machine an alternative to Artificial Neural Network analysis of electrochemical machining process

R. K. Tripathy, Kanhu Charan Nayak, K. C. Nayak, 2012 .