R. K. Tripathy
Orcid: 0000-0003-2517-3103Affiliations:
- Birla Institute of Technology and Science (BITS), Pilani, Hyderabad, India
According to our database1,
R. K. Tripathy
authored at least 35 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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on github.com
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Bibliography
2025
Time-frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities.
Biomed. Signal Process. Control., 2025
2024
Detection of Sleep Apnea From ECG Signals Using Sliding Singular Spectrum Based Subpattern Principal Component Analysis.
IEEE Trans. Artif. Intell., June, 2024
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024
2023
Time frequency domain deep CNN for automatic background classification in speech signals.
Int. J. Speech Technol., September, 2023
Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals.
Biomed. Signal Process. Control., August, 2023
Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG.
Biomed. Signal Process. Control., May, 2023
Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals.
IEEE Trans. Instrum. Meas., 2023
Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images.
IEEE Trans. Instrum. Meas., 2023
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning.
IEEE Trans. Instrum. Meas., 2023
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series.
IEEE Access, 2023
Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals.
Proceedings of the 28th National Conference on Communications, 2023
Proceedings of the 28th National Conference on Communications, 2023
2022
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2022
Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals.
IEEE Trans. Instrum. Meas., 2022
Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network.
IEEE Trans. Instrum. Meas., 2022
ECG beat classification based on discriminative multilevel feature analysis and deep learning approach.
Biomed. Signal Process. Control., 2022
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network.
Appl. Soft Comput., 2022
2021
Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts From EEG Recordings.
IEEE Trans. Instrum. Meas., 2021
Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner-Ville Distribution.
Circuits Syst. Signal Process., 2021
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals.
Comput. Biol. Medicine, 2021
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals.
Comput. Biol. Medicine, 2021
Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
2020
Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network.
J. Medical Syst., 2020
Implementation of fast ICA using memristor crossbar arrays for blind image source separations.
IET Circuits Devices Syst., 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.
Entropy, 2020
Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis.
Digit. Signal Process., 2020
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis.
Comput. Biol. Medicine, 2020
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network.
Comput. Biol. Medicine, 2020
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals.
Comput. Biol. Medicine, 2020
2019
Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme.
Comput. Methods Programs Biomed., 2019
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals.
Comput. Biol. Medicine, 2019
2017
Detection of myocardial infarction from vectorcardiogram using relevance vector machine.
Signal Image Video Process., 2017
2016
J. Medical Syst., 2016
Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features.
J. Medical Syst., 2016
2015
Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction.
IEEE Trans. Biomed. Eng., 2015