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R. K. Tripathy 0001
Person information
- affiliation: Birla Institute of Technology and Science (BITS), Pilani, Hyderabad, India
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2020 – today
- 2025
- [j31]Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori:
Time-frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities. Biomed. Signal Process. Control. 100: 107041 (2025) - 2024
- [j30]Muhammad Zubair, M. Umesh Kumar Naik, Rajesh K. Tripathy, Mohammed A. Alhartomi, Saeed Alzahrani, Shaik Rafi Ahamed:
Detection of Sleep Apnea From ECG Signals Using Sliding Singular Spectrum Based Subpattern Principal Component Analysis. IEEE Trans. Artif. Intell. 5(6): 2897-2906 (2024) - [c4]Jay Karhade, Haiyue Zhu, Ka-Shing Chung, Rajesh Kumar Tripathy, Wei Lin, Marcelo H. Ang:
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering. AIM 2024: 172-177 - 2023
- [j29]Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi:
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series. IEEE Access 11: 116570-116580 (2023) - [j28]Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal:
Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG. Biomed. Signal Process. Control. 83: 104701 (2023) - [j27]Shaswati Dash, Pranjali Gajbhiye, Phattarapong Sawangjai, Guntitat Sawadwuthikul, Thapanun Sudhawiyangkul, Rajesh Kumar Tripathy, Ram Bilas Pachori:
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. 85: 104996 (2023) - [j26]Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi:
Time frequency domain deep CNN for automatic background classification in speech signals. Int. J. Speech Technol. 26(3): 695-706 (2023) - [j25]Sathvik Bhaskarpandit, Anurag Gade, Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori:
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j24]Anurag Gade, Dinesh Kumar Dash, T. Mita Kumari, Samit Kumar Ghosh, Rajesh Kumar Tripathy, Ram Bilas Pachori:
Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j23]Shresth Gupta, Anurag Singh, Abhishek Sharma, Rajesh Kumar Tripathy:
Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c3]Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal:
Tensor-Domain Machine Learning Based Cardiac Diseases Detection Using 12-lead ECG. NCC 2023: 1-5 - [c2]Haarika Manda, Shaswati Dash, Rajesh Kumar Tripathy:
Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals. NCC 2023: 1-5 - 2022
- [j22]Neha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, Rajesh Kumar Tripathy:
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network. Appl. Soft Comput. 119: 108610 (2022) - [j21]Nabanita Sinha, Rajesh Kumar Tripathy, Arpita Das:
ECG beat classification based on discriminative multilevel feature analysis and deep learning approach. Biomed. Signal Process. Control. 78: 103943 (2022) - [j20]Samit Kumar Ghosh, R. N. Ponnalagu, Rajesh Kumar Tripathy, Ganapati Panda, Ram Bilas Pachori:
Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j19]Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, Dinesh Kumar Dash, Rajesh Kumar Tripathy:
Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j18]Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij, Rajesh Kumar Tripathy, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn:
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 26(10): 4913-4924 (2022) - [i1]Pavan Kumar Reddy Boppidi, Victor Jeffry Louis, Arvind Subramaniam, Rajesh K. Tripathy, Souri Banerjee, Souvik Kundu:
Implementation of fast ICA using memristor crossbar arrays for blind image source separations. CoRR abs/2208.04317 (2022) - 2021
- [j17]Daksh Maheshwari, Samit Kumar Ghosh, R. K. Tripathy, Manish Sharma, U. Rajendra Acharya:
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals. Comput. Biol. Medicine 134: 104428 (2021) - [j16]Tejas Radhakrishnan, Jay Karhade, Samit Kumar Ghosh, Priya Ranjan Muduli, R. K. Tripathy, U. Rajendra Acharya:
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. Comput. Biol. Medicine 137: 104783 (2021) - [j15]Rohan Panda, Sahil Jain, R. K. Tripathy, Rishi Raj Sharma, Ram Bilas Pachori:
Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner-Ville Distribution. Circuits Syst. Signal Process. 40(3): 1207-1232 (2021) - [j14]Pranjali Gajbhiye, Nopparada Mingchinda, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn, Rajesh Kumar Tripathy:
Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts From EEG Recordings. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c1]Samit Kumar Ghosh, Rajesh Kumar Tripathy, R. N. Ponnalagu:
Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine. IEEE SENSORS 2021: 1-4 - 2020
- [j13]Samit Kumar Ghosh, R. N. Ponnalagu, R. K. Tripathy, U. Rajendra Acharya:
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. Comput. Biol. Medicine 118: 103632 (2020) - [j12]R. K. Tripathy, Pranjali Gajbhiye, U. Rajendra Acharya:
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis. Comput. Biol. Medicine 120: 103769 (2020) - [j11]Rohan Panda, Sahil Jain, R. K. Tripathy, U. Rajendra Acharya:
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. Comput. Biol. Medicine 124: 103939 (2020) - [j10]Himali Singh, Rajesh K. Tripathy, Ram Bilas Pachori:
Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis. Digit. Signal Process. 104: 102796 (2020) - [j9]Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, U. Rajendra Acharya:
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 22(10): 1141 (2020) - [j8]Pavan Kumar Reddy Boppidi, Victor Jeffry Louis, Arvind Subramaniam, Rajesh K. Tripathy, Souri Banerjee, Souvik Kundu:
Implementation of fast ICA using memristor crossbar arrays for blind image source separations. IET Circuits Devices Syst. 14(4): 484-489 (2020) - [j7]Samit Kumar Ghosh, R. K. Tripathy, Mario Roberto Arrieta Paternina, Juan J. Arrieta, Alejandro Zamora-Méndez, Ganesh R. Naik:
Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network. J. Medical Syst. 44(6): 114 (2020)
2010 – 2019
- 2019
- [j6]ChS. S. S. Viswabhargav, R. K. Tripathy, U. Rajendra Acharya:
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals. Comput. Biol. Medicine 108: 20-30 (2019) - [j5]R. K. Tripathy, Mario Roberto Arrieta Paternina, Juan G. Arrieta, Alejandro Zamora-Méndez, Ganesh R. Naik:
Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme. Comput. Methods Programs Biomed. 173: 53-65 (2019) - 2017
- [j4]R. K. Tripathy, Samarendra Dandapat:
Detection of myocardial infarction from vectorcardiogram using relevance vector machine. Signal Image Video Process. 11(6): 1139-1146 (2017) - 2016
- [j3]R. K. Tripathy, L. N. Sharma, Samarendra Dandapat:
Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition. J. Medical Syst. 40(4): 79:1-79:13 (2016) - [j2]R. K. Tripathy, Samarendra Dandapat:
Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features. J. Medical Syst. 40(6): 143:1-143:9 (2016) - 2015
- [j1]L. N. Sharma, R. K. Tripathy, Samarendra Dandapat:
Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction. IEEE Trans. Biomed. Eng. 62(7): 1827-1837 (2015)
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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