Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction. - L. N. Sharma; R. K. Tripathy 001; Samarendra Dandapat (IEEE Trans. Biomed. Eng., 2015)

Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features. - R. K. Tripathy 001; Samarendra Dandapat (J. Medical Syst., 2016)

Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition. - R. K. Tripathy 001; L. N. Sharma; Samarendra Dandapat (J. Medical Syst., 2016)

Detection of myocardial infarction from vectorcardiogram using relevance vector machine. - R. K. Tripathy 001; Samarendra Dandapat (Signal Image Video Process., 2017)

Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals. - ChS. S. S. Viswabhargav; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme. - R. K. Tripathy 001; Mario Roberto Arrieta Paternina; Juan G. Arrieta; Alejandro Zamora-Méndez; Ganesh R. Naik (Comput. Methods Programs Biomed., 2019)

Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. - Samit Kumar Ghosh; R. N. Ponnalagu; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. - Rohan Panda; Sahil Jain; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis. - R. K. Tripathy 001; Pranjali Gajbhiye; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis. - Himali Singh; Rajesh K. Tripathy; Ram Bilas Pachori (Digit. Signal Process., 2020)

Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. - Rajesh Kumar Tripathy; Samit Kumar Ghosh; Pranjali Gajbhiye; U. Rajendra Acharya (Entropy, 2020)

Implementation of fast ICA using memristor crossbar arrays for blind image source separations. - Pavan Kumar Reddy Boppidi; Victor Jeffry Louis; Arvind Subramaniam; Rajesh K. Tripathy; Souri Banerjee; Souvik Kundu 001 (IET Circuits Devices Syst., 2020)

Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network. - Samit Kumar Ghosh; R. K. Tripathy 001; Mario Roberto Arrieta Paternina; Juan J. Arrieta; Alejandro Zamora-Méndez; Ganesh R. Naik (J. Medical Syst., 2020)

Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine. - Samit Kumar Ghosh; Rajesh Kumar Tripathy; R. N. Ponnalagu (IEEE SENSORS, 2021)

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals. - Daksh Maheshwari; Samit Kumar Ghosh; R. K. Tripathy 001; Manish Sharma 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. - Tejas Radhakrishnan; Jay Karhade; Samit Kumar Ghosh; Priya Ranjan Muduli; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner-Ville Distribution. - Rohan Panda; Sahil Jain; R. K. Tripathy 001; Rishi Raj Sharma; Ram Bilas Pachori (Circuits Syst. Signal Process., 2021)

Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts From EEG Recordings. - Pranjali Gajbhiye; Nopparada Mingchinda; Wei Chen 015; Subhas Chandra Mukhopadhyay; Theerawit Wilaiprasitporn; Rajesh Kumar Tripathy (IEEE Trans. Instrum. Meas., 2021)

Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network. - Neha Muralidharan; Shaurya Gupta; Manas Ranjan Prusty; Rajesh Kumar Tripathy (Appl. Soft Comput., 2022)

ECG beat classification based on discriminative multilevel feature analysis and deep learning approach. - Nabanita Sinha; Rajesh Kumar Tripathy; Arpita Das (Biomed. Signal Process. Control., 2022)

Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network. - Samit Kumar Ghosh; R. N. Ponnalagu; Rajesh Kumar Tripathy; Ganapati Panda; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2022)

Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals. - Jay Karhade; Shaswati Dash; Samit Kumar Ghosh; Dinesh Kumar Dash; Rajesh Kumar Tripathy (IEEE Trans. Instrum. Meas., 2022)

EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks. - Phattarapong Sawangjai; Manatsanan Trakulruangroj; Chiraphat Boonnag; Maytus Piriyajitakonkij; Rajesh Kumar Tripathy; Thapanun Sudhawiyangkul; Theerawit Wilaiprasitporn (IEEE J. Biomed. Health Informatics, 2022)

Tensor-Domain Machine Learning Based Cardiac Diseases Detection Using 12-lead ECG. - Chhaviraj Chauhan; Rajesh Kumar Tripathy; Monika Agrawal 002 (NCC, 2023)

Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals. - Haarika Manda; Shaswati Dash; Rajesh Kumar Tripathy (NCC, 2023)

Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series. - Rakesh Reddy Yakkati; Sreenivasa Reddy Yeduri; Rajesh Kumar Tripathy; Linga Reddy Cenkeramaddi (IEEE Access, 2023)

Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning. - Sathvik Bhaskarpandit; Anurag Gade; Shaswati Dash; Dinesh Kumar Dash; Rajesh Kumar Tripathy; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2023)

Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images. - Anurag Gade; Dinesh Kumar Dash; T. Mita Kumari; Samit Kumar Ghosh; Rajesh Kumar Tripathy; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2023)

Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals. - Shresth Gupta; Anurag Singh 002; Abhishek Sharma; Rajesh Kumar Tripathy (IEEE Trans. Instrum. Meas., 2023)

Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG. - Chhaviraj Chauhan; Rajesh Kumar Tripathy; Monika Agrawal 002 (Biomed. Signal Process. Control., 2023)

Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals. - Shaswati Dash; Pranjali Gajbhiye; Phattarapong Sawangjai; Guntitat Sawadwuthikul; Thapanun Sudhawiyangkul; Rajesh Kumar Tripathy; Ram Bilas Pachori (Biomed. Signal Process. Control., 2023)

Time frequency domain deep CNN for automatic background classification in speech signals. - Rakesh Reddy Yakkati; Sreenivasa Reddy Yeduri; Rajesh Kumar Tripathy; Linga Reddy Cenkeramaddi (Int. J. Speech Technol., 2023)

Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering. - Jay Karhade; Haiyue Zhu; Ka-Shing Chung; Rajesh Kumar Tripathy; Wei Lin 002; Marcelo H. Ang (AIM, 2024)

A Lightweight Deep Convolutional Neural Network Implemented on FPGA and Android Devices for Detection of Breast Cancer Using Ultrasound Images. - Aditya Vinod; Prabhav Guddati; Amit Kumar Panda; Rajesh Kumar Tripathy (IEEE Access, 2024)

Detection of Sleep Apnea From ECG Signals Using Sliding Singular Spectrum Based Subpattern Principal Component Analysis. - Muhammad Zubair; M. Umesh Kumar Naik; Rajesh K. Tripathy; Mohammed A. Alhartomi; Saeed Alzahrani; Shaik Rafi Ahamed (IEEE Trans. Artif. Intell., 2024)

FPGA Implementation of the Proposed DCNN Model for Detection of Tuberculosis and Pneumonia Using CXR Images. - Prabhav Guddati; Shaswati Dash; Rajesh Kumar Tripathy (IEEE Embed. Syst. Lett., 2024)

SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection. - Soumil Hooda; Rajesh Kumar Tripathy (IEEE Access, 2025)

Time-frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities. - Shaswati Dash; Dinesh Kumar Dash; Rajesh Kumar Tripathy; Ram Bilas Pachori (Biomed. Signal Process. Control., 2025)

Cross-Subject Emotion Recognition From Multichannel EEG Signals Using Multivariate Decomposition and Ensemble Learning. - Raveendrababu Vempati; Lakhan Dev Sharma; Rajesh Kumar Tripathy (IEEE Trans. Cogn. Dev. Syst., 2025)

Detection of Bundle Branch Block From 12-Lead ECG Using Fifth-Order Tensor-Domain Machine Learning. - Chhaviraj Chauhan; Rajesh Kumar Tripathy; Monika Agrawal 002 (IEEE Trans. Hum. Mach. Syst., 2025)