Journal Papers

Year 2024

86. Adnan Altaf, RK Tripathy, "An IoT-enabled Deep Learning Approach Implemented on Android Device for Automated Identification of Breast Cancer using Thermal Images", IEEE Sensors Letters, 2024 (Under review).

85. Chabiraj Chouhan, RK Tripathy, Monika Aggarwal, ``A Fifth Order Tensor Domain Machine Learning based Approach for the Automated Detection of Bundle Branch Block using 12-Lead ECG", IEEE Transactions on Human-Machine Systems, 2024 (Under review).

84. Aditya Vinod, Prabhav Guddati, Amit Kumar Panda, RK Tripathy, ``A Lightweight Deep Neural Network Implemented on FPGA and Android Devices for Detection of Breast Cancer using Ultrasound Images", IEEE Transactions on Instrumentation and Measurement (Under review).

83. Soumil Hooda, RK Tripathy, "SERN-AwGOP: A Squeeze-and-Excitation Residual Network with Attention-Weighted GOP for Atrial Fibrillation Detection in Healthcare IoT", IEEE Sensors Letters, 2024 (Revise and resubmit).

82. Shaswati Dash, Dinesh Kumar Dash, RK Tripathy, and Ram Bilas Pachori, ``Time-Frequency Domain Machine Learning for Detection of Epilepsy using Wearable EEG Sensor Signals Recorded during Physical Activities", Biomedical Signal Processing and Control, Elsevier, 2024. (Major revision) 

81. Raveendrababu Vemapati, LD Sharma, and RK Tripathy, ``Cross-Subject Emotion Recognition from Multichannel EEG Signals using Multivariate Decomposition and Ensemble Learning", IEEE Transactions on Cognitive and Developmental Systems, 2024. ieeexplore.ieee.org/document/10589482 

80. Amlan deep Mohapatra, Amol Aggarwal, and RK Tripathy, ``Automated Recognition of Hand Gestures from Multichannel EMG Sensor Data using Time-Frequency Domain Deep Learning for IoT Applications", IEEE Sensors Letters, 2024. ieeexplore.ieee.org/document/10530084 

79. Prabhav Guddati, Shaswati Dash, RK Tripathy, "FPGA Implementation of the Proposed DCNN Model for Detection of Tuberculosis and Pneumonia using CXR Images", IEEE Embedded Systems Letters, 2024. ieeexplore.ieee.org/abstract/document/10445714 

78. Dhanajay Pachori, RK Tripathy, TK Jain, "Detection of Atrial Fibrillation from PPG Sensor Data using Variational Mode Decomposition", IEEE Sensors Letters, 2024. ieeexplore.ieee.org/document/10414157 

77. M. Zubair, UKN Mudavath, RK Tripathy, M. Alhartomi, S. Alzahrani, Shaik Rafi Ahamed, "Detection of Sleep Apnea from ECG Signals using Sliding Singular Spectrum based Sub-Pattern Principal Component Analysis", IEEE Transactions on Artificial Intelligence, 2024. ieeexplore.ieee.org/document/10308525 

Year 2023

76. Shrish Visweswar, AK Panda, RK Tripathy, "A Smartphone enabled Deep Learning Approach for Myocardial Infarction Detection using ECG Traces for IoT-based Healthcare Applications", IEEE Sensors Letters, 2023. ieeexplore.ieee.org/document/10301669 

75. Rakesh R Yakkati, Sreenivasa R Yeduri, RK Tripathy, Linga R Cenkeramaddi, "Multi-channel Time-frequency Domain Deep CNN Approach for Machinery Fault Recognition using Multi-sensor Time-series", IEEE Access, 2023. ieeexplore.ieee.org/abstract/document/10286517 

74. Subrat Kabi, RK Tripathy, Dipti Patra, Ganapati Panda, ''A Novel Approach for the Detection of Tuberculosis and Pneumonia using Chest X-ray Images for Smart Healthcare Applications'', IEEE Sensors Letters, 2023. ieeexplore.ieee.org/abstract/document/10295958 

73. Anurag Gade, DK Dash, T. Mita Kumari, SK Ghosh, RK Tripathy*, RB Pachori, "Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer using Thermogram Images", IEEE Transactions on Instrumentation and Measurement, 2023. ieeexplore.ieee.org/document/10258390 

72. Chabiraj Chouhan, RK Tripathy, Monika Aggarwal, "Higher Order Time-Frequency domain Tensor based Method for the Detection of Atrial Abnormalities using 12-lead ECG Signals", IEEE Sensors Letters, 2023.ieeexplore.ieee.org/abstract/document/10185066 

71. RK Tripathy*, DK Dash, SK Ghosh, RB Pachori, "Detection of Different Stages of Anxiety from Single channel Wearable ECG Sensor Signal using Fourier-Bessel Domain Adaptive Wavelet Transform", IEEE Sensors Letters, 2023. ieeexplore.ieee.org/document/10122129  Code: github.com/tripathy12345/FBAWT 

70. Shresth Gupta, Anurag Singh, Abhishek Sharma, RK Tripathy, "Exploiting Tunable Q-factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals", IEEE Transactions on Instrumentation and Measurement, 2023. ieeexplore.ieee.org/document/10155157 

69. Shaswati Dash, Pranjali Gajbhiye, Phattarapong Sawangjai, Guntitat Sawadwuthikul, Thapanun Sudhawiyangkul, RK Tripathy*, RB Pachori, "Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals", Biomedical Signal Processing and Control, Elsevier, 2023. www.sciencedirect.com/science/article/pii/S1746809423004299 

Code: github.com/tripathy12345/dbpewt 

68.  Chhaviraj Chauhan, RK Tripathy, Monika Agrawal, ‘Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG’, Biomedical Signal Processing and Control, Elsevier, vol. 83, Volume 83, 104701, May 2023. www.sciencedirect.com/science/article/pii/S1746809423001349 

67. Sathvik Bhaskarpandit, Anurag Gade, Shaswati Dash, Dinesh Kumar Dash, RK Tripathy*, and Ram Bilas Pachori, ‘Detection of Myocardial Infarction from 12-lead ECG trace images using Eigendomain Deep Representation Learning’, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp.1-12, 4001812, 2023.ieeexplore.ieee.org/document/10036027 

66.Rakesh R Yakkati, R Yeduri Sreenivasa, RK Tripathy, Cenkeramaddi Linga R, "Time Frequency Domain Deep CNN for Automatic Background Classification in Speech Signals", International Journal of Speech Technology, Springer, 2023.rdcu.be/dqfrj 

Year 2022

65. Shaswati Dash, RK Tripathy*, DK Dash, G Panda, RB Pachori, ‘Multiscale Domain Gradient Boosting Models for the Automated Recognition of Imagined Vowels using Multichannel EEG Signals,’ IEEE Sensors Letters, vol.6 (11), pp.1-4, 2022. ieeexplore.ieee.org/document/9933628 

64. Shresth Gupta, Anurag Singh, Abhishek Sharma, RK Tripathy, "Higher-order Derivatives-based Integrated Model for Cuff-less Blood Pressure Estimation and Stratification using PPG Signals", IEEE Sensors Journal, 2022. ieeexplore.ieee.org/document/9915297 

63. Sresth Gupta, Anurag Singh, Abhishek Sharma, RK Tripathy, ‘dSVRI: A PPG-based Novel Feature for Early Diagnosis of Type-II Diabetes Mellitus’, IEEE Sensors Letters, 2022.ieeexplore.ieee.org/document/9873940 

62. SK Ghosh, RN Ponnalagu, RK Tripathy, Ganapati Panda, RB Pachori, "Automated Heart Sound Activity Detection from PCG Signal using Time-frequency Domain Deep Neural Network", IEEE Transactions on Instrumentation and Measurement, 2022. ieeexplore.ieee.org/document/9833311 

61. Nabanita Sinha, RK Tripathy, Arpita Das, "ECG beat Classification based on Discriminative Multilevel Feature Analysis and Deep Learning Approach", Biomedical Signal Processing and control, Elsevier, 2022.  www.sciencedirect.com/science/article/pii/S1746809422004426 

60. ME Zayed, VP Katekar, AH Elsheikh, RK Tripathy, SS Deshmukh, "Predicting the yield of stepped corrugated solar distiller using kernel-based machine learning models, Applied Thermal Engineering, Elsevier, 2022. www.sciencedirect.com/science/article/pii/S1359431122007013 

59. RK Tripathy*, Shaswati Dash, Adyasha Rath, Ganapati Panda, Ram Bilas Pachori, "Automated Detection of Pulmonary Diseases from Lung Sound Signals using Fixed Boundary based Empirical Wavelet Transform", IEEE Sensors Letters, 2022. ieeexplore.ieee.org/abstract/document/9756949 

58. Jay Karhade, Shaswati Dash, SK Ghosh, DK Dash, RK Tripathy*, "Time-Frequency Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders using PCG Signals", IEEE Transactions on Instrumentation and Measurement, 2022. ieeexplore.ieee.org/abstract/document/9744120 

57.  RK Tripathy*, MA Paternina, JA De La O Serna, "Editorial: Machine Learning and Deep Learning for Physiological Signal Analysis", Frontiers in Physiology, 2022.www.frontiersin.org/articles/10.3389/fphys.2022.887070/full 

56. Neha Muralidharan, Shaurya Gupta, Manas Prusty, RK Tripathy*, "Detection of COVID19 from X-ray Images using Multiscale Deep Convolutional Neural Network", Applied Soft Computing, Elsevier, 2022. www.sciencedirect.com/science/article/pii/S1568494622001119 

55. Shaswati Dash,  RK Tripathy*, Ganapati Panda, Ram Bilas Pachori, "Automated Recognition of Imagined Commands from EEG Signals using Multivariate Fast and Adaptive Empirical Mode Decomposition based Method", IEEE Sensors Letters, 2022. ieeexplore.ieee.org/abstract/document/9681253  

54. Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij, RK Tripathy, Thapanun Sudhawiyangkul, Therawitt Wilaiprasitporn, "EEGANet: Removal of Ocular Artifact from the EEG Signal Using Generative Adversarial Networks", IEEE Journal of Biomedical and Health Informatics, 2022. ieeexplore.ieee.org/document/9627782 

53. Rajesh Reddy Yakkati, Rakesh Reddy Yakkati, RK Tripathy, Linga Reddy Cenkeramaddi, "Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System using Multiscale Deep CNN", IEEE Sensors Journal, 2022. ieeexplore.ieee.org/document/9615184 code available at github.com/yrajeshreddy914/AMC_EWT 

Year 2021

52. Jay Karhade, SK Ghosh, Pranjali Gajbhiye, RK Tripathy, UR Acharya, "Multichannel Multiscale Two-stage Convolutional Neural Network for the Detection and Localization of Myocardial Infarction using Vectorcardiogram Signal", MDPI Applied Sciences, 2021. https://www.mdpi.com/2076-3417/11/17/7920. code available at https://github.com/tripathy12345/MI_VCG_DL.

51.  Tejas Radhakrishnan, Jay Karhade, SK Ghosh, PR Mudali, RK Tripathy*, UR Acharya, "AFCNNet: Automated detection of AF using Chirplet transform and Deep Convolutional Bidirectional Long Short Term Memory Network with ECG signals", Computers in Biology and Medicine, Elsevier, 2021, https://www.sciencedirect.com/science/article/pii/S0010482521005771. Code available at https://github.com/tripathy12345/AF_paper_code

50. Abhishek Varshney, SK Ghosh, Sibasankar Padhy, RK Tripathy, UR Acharya,"Automated Classification of Mental Arithmetic Tasks Using Recurrent Neural Network and Entropy Features Obtained from Multi-channel EEG Signals", MDPI Electronics, 2021. www.mdpi.com/2079-9292/10/9/1079 (IF-2.39)

49. D Maheswari, SK Ghosh, RK Tripathy*, M Sharma, UR Acharya, "Automated Accurate Emotion Recognition System using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals", Computers in Biology and Medicine, Elsevier, 2021, code available at github.com/tripathy12345/multi-channel-eeg-deep-cnn-emotion-recognition. (IF-4.58)

48. SK Ghosh, RK Tripathy, RN Ponnalagu, "A Transform domain Approach for the Compression of Fetal Phonocardiogram Signal", IEEE Sensors Letters, 2021.ieeexplore.ieee.org/document/9411736 

47. Pranjali Gajbhiye, N Mingchinda, W Chen, SC Mukhopadhyay, T Wilaiprasitporn*, RK Tripathy*, "Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts from EEG Recordings", IEEE Transactions on Instrumentation and Measurement, Vol. 70, No. 4002111, 2021. doi.org/10.1109/TIM.2020.3041099,  code available at github.com/tripathy12345/WOSGfilteringIEEETIM (IF-4.01)

46. Abhijeet Bhattacharyya, RK Tripathy, L. Garg, RB Pachori, "A novel multivariate-multiscale approach for computing EEG spectral and temporal complexity for human emotion recognition", IEEE Sensors Journal, Vol. 21, issue-3, 2021. ieeexplore.ieee.org/document/9207950 (IF-3.30)

45. Rohan Panda, Sahil Jain, RK Tripathy*, RR Sharma, RB Pachori, "Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-terms in Wigner-Ville Distribution", Circuits, Systems & Signal Processing, Springer, vol. 40, pp1207–1232, 2021. (*corresponding author) link.springer.com/article/10.1007/s00034-020-01537-0?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst, code available at github.com/tripathy12345/SMSSA_WVD  (IF-2.22)

Year 2020

44. Samit Kumar Ghosh, RN Ponnalagu, RK Tripathy*, UR Acharya, "Deep Layer Kernel Sparse Representation Network for the Detection of Heart valve Ailments from the Time-Frequency Representation of PCG Recordings", Biomed Research International, Hindawi, 2020. www.hindawi.com/journals/bmri/2020/8843963/ (IF-3.41)

43. Piyush Jain, Pranjali Gajbhiye, RK Tripathy*, UR Acharya, "A two-stage CNN Architecture for the classification of Low-risk and High-risk hypertension classes using Multichannel ECG Signals", Informatics in Medicine Unlocked, Elsevier, 2020. www.sciencedirect.com/science/article/pii/S2352914820306304 

42. RK Tripathy*, SK Ghosh, Pranjali Gajbhiye, UR Acharya*, "Development of automated sleep stages classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features extracted from multichannel EEG signals", Entropy, MDPI Journal, 2020. www.mdpi.com/1099-4300/22/10/1141 Code: github.com/tripathy12345/MPEWT/blob/main/MPEWT.ipynb 

41. Rohan Panda, Sahil Jain, RK Tripathy*, UR Acharya, "Detection of Shockable Ventricular Cardiac Arrhythmias from ECG Signals using FFREWT Filter-bank and Deep Convolutional Neural Network", Computers in Medicine and Biology, Elsevier, 2020. (*corresponding author) (IF: 4.58) https://www.sciencedirect.com/science/article/pii/S0010482520302742 

40. RK Tripathy*, Pranjali Gajbhiye, UR Acharya, "Automated Sleep Apnea Detection from Cardio-Pulmonary Signal using Bivariate Fast and Adaptive EMD Coupled with Cross Time-Frequency Analysis ", Computers in Medicine and Biology, Elsevier, Vol. 120, May 2020, 103769 , 2020. (*corresponding author) (IF: 4.58) https://www.sciencedirect.com/science/article/abs/pii/S0010482520301414 

39. SK Ghosh, RK Tripathy*, MRA Paternina, Juan J Arrieta, A. Z. Mendez, GR Naik, "Detection of Atrial Fibrillation from Single Lead ECG Signal using Multirate Cosine Filter bank and Deep Neural Network", Journal of Medical Systems, Springer, Vol. 44 (144) 2020. (*corresponding author) (IF: 4.46) https://link.springer.com/article/10.1007/s10916-020-01565-y 

38. Samit Kumar Ghosh, RN Ponnalagu, RK Tripathy, UR Acharya, "Automated Detection of Heart Valve Diseases using Chirplet Transform and Multiclass Composite Classifier with PCG Signals ", Computers in Medicine and Biology, Elsevier, 2020. (IF-4.58) https://www.sciencedirect.com/science/article/pii/S0010482520300305 

37. Sahil Jain, Rohan Panda, RK Tripathy*, "Multivariate Sliding Mode Singular Spectrum Analysis for the Decomposition of Multisensor Time series ", IEEE Sensors Letters, Vol. 4 (6), pp. 1-4, 2020.  (*corresponding author) https://ieeexplore.ieee.org/document/9097414 Codes Available: github.com/tripathy12345/MASSA 

36. Himali Singh, RK Tripathy, RB Pachori, "Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis", Digital Signal Processing, Elsevier, 2020. (Q2 rated, IF: 2.87) https://www.sciencedirect.com/science/article/pii/S105120042030141X 

35. T Siddharth, Pranjali Gajbhiye, RK Tripathy*, RB Pachori, "EEG based Detection of Focal Seizure Area using FBSE-EWT rhythm and SAE-SVM Network", IEEE Sensors Journal, 2020. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/9096344 

34. J. A. de la O Serna, MRA Paternina, A. Z. mendez, RK Tripathy*, RB Pachori, "EEG-Rhythm Specific Taylor-Fourier filter bank Implemented with O-splines for the Detection of Epilepsy using EEG Signals", IEEE Sensors Journal, 2020. (*corresponding author) https://ieeexplore.ieee.org/document/9017999 

33. Pranjali Gajbhiye, RK Tripathy*, RB Pachori, "Elimination of Ocular Artifacts from single channel EEG Signals using FBSE-EWT based rhythms", IEEE Sensors Journal, 2020. (*corresponding author) https://ieeexplore.ieee.org/document/8932609 

32. M. Srirangan, RK Tripathy*, RB Pachori, "Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals, IEEE Sensors Journal, 2020. (*corresponding author) https://ieeexplore.ieee.org/abstract/document/8913620 

31. Pavan B, V. Jeffry Louis, A. Subramaniam, RK Tripathy, S. Banerjee and S. Kundu, "Implementation of Fast ICA Using Memristor Crossbar Arrays for Blind Image Source Separations", IET Circuits, Devices & Systems, 2020. https://digital-library.theiet.org/content/journals/10.1049/iet-cds.2019.0420 

Year 2019

30. Viswabhargav Ch.S.S.S, RK Tripathy*, U R Acharya, "Automated Detection of Sleep Apnea using Sparse Residual Entropy Features with Various Dictionaries extracted From Heart rate and EDR signals", Computers in Biology and Medicine, Elsevier, Vol. 108, pp: 20-30, 2019. (*corresponding author) https://www.sciencedirect.com/science/article/pii/S0010482519300897 

29. RK Tripathy*, Mario R. A. Paternina, Juan G. Arrieta, Alejandro Zamora-M endez, and Ganesh R. Naik, "Automated Detection of Congestive Heart Failure from Electrocardiogram Signal using Stockwell Transform and Hybrid Classification Scheme ", Computer Methods and Programs in Biomedicine , Elsevier, Vol. 173, pp: 53-65, 2019. (*corresponding author) https://www.sciencedirect.com/science/article/pii/S0169260718302980

28. T Siddharth, RK Tripathy*, RB Pachori, "Discrimination of Focal and Non-focal Seizures from EEG Signals using Sliding Mode Singular Spectrum Analysis ", IEEE Sensors Journal, Vol. 19 (24), pp: 12286 - 12296, 2019. (*corresponding author) https://ieeexplore.ieee.org/document/8826440 

27. RK Tripathy*, Abhijeet Bhatacharyya, RB Pachori, "Localization of Myocardial Infarction from Multi-Lead ECG Signals using Multiscale Analysis and Convolutional Neural Network ", IEEE Sensors Journal, Vol. 19 (23), pp: 11437 - 11448 , 2019. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/8801852 

26. Pranjali Gajbhiye, RK Tripathy*, Abhijeet Bhatacharyya, RB Pachori, "Novel Approaches for the Removal of Motion Artifact from EEG recordings", IEEE Sensors Journal, Vol. 19 (22), pp: 10600 - 10608 , 2019. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/8784397  

25. RK Tripathy*, Abhijeet Bhattacharyya, RB Pachori, "A Novel Approach for Detection of Myocardial Infarction from ECG Signals of Multiple Electrodes", IEEE Sensors Journal, Vol. 19 (12), pp: 4509 - 4517, 2019. (*corresponding author) (IF-3.30)  https://ieeexplore.ieee.org/document/8630000  Codes Available: github.com/tripathy12345/FBSE-EWT 

24. MRA Paternina, RK Tripathy, AZ Mendez, D Dotta, "Identification of Electromechnical Modes using Variational Mode Decomposition", Electric Power System Research (EPSR), Elsevier, 2019. (SCI, Scopus) Link: https://www.sciencedirect.com/science/article/pii/S0378779618303328?dgcid=rss_sd_all (Q2 rated, IF-3.21) 

23. HP Tripathy, Priyabrata Pattanaik, DK Mishra, SK Kamilla, RK Tripathy, "A Model-based Approach to Validate the Aluminium Nitride Material based Ultrasonic MEMS Transceiver for Temperature Sensing", IET Micro and Nano Letters, Vol. 14 (3), pp. 280 – 285, 2019. (SCI, Scopus)Link: http://digital-library.theiet.org/content/journals/10.1049/mnl.2018.5266 (Q4 rated, IF-0.975)

22. Samit Kumar Ghosh, RK Tripathy*, R N Ponnalagu, RB Pachori, "Automated Detection of Heart Valve Disorders from PCG Signal using Time-Frequency Magnitude and Phase Features ", IEEE Sensors Letters, Vol. 3 (12), Dec, 2019. (*corresponding author) https://ieeexplore.ieee.org/document/8883037 

Year 2018

21. R. K. Tripathy, A. Z. mendez, J. A. de la O Serna, MRA Paternina, J. G. Arrieta, G. R. Naik, "Detection of Life Threatening Ventricular Arrhythmia using Digital Taylor Fourier Transform", Frontiers in Physiology, 2018. (SCI-E, Scopus) Link: https://www.frontiersin.org/articles/10.3389/fphys.2018.00722/full (JCR Q1 rated, IF-3.367)

20. Daniel Guillen, Mario. R. Arrieta Paternina, Jose Ortiz-Bejar, R. K. Tripathy, Alejandro Zamora, Ruben Tapia-Olvera, Eric S. Tellez, "Fault detection and classification in transmission lines based on a power spectral density index", IET Generation, Transmission and Distribution, 2018 . (SCI, SCI-E, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5062 (IF-3.22) 

19. R. K. Tripathy*, U. R. Acharya, "Use of features from RR-time series and EEG signals for Automated Classification of Sleep Stages in Deep Neural Network Framework", Biocybernetics and Biomedical Engineering, Elsevier, 2018. (*corresponding author) Link: https://www.sciencedirect.com/science/article/pii/S0208521618300949 (IF-4.31)

18. H. P. Tripathy, D. Bej, P. Pattanaik, D.P Mishra, S. K. Kamilla, R. K. Tripathy, "Measurement of Zone Temperature Profile of a Resistive Heating Furnace Through RVM Model", IEEE Sensors Journal, 18(11), pp. 4429 - 4435, 2018. Link: https://ieeexplore.ieee.org/document/8337727/ (IF-3.30)

17. R. K. Tripathy*, "Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals", Biocybernetics and Biomedical Engineering, Elsevier, 38(1), pp. 136-144, 2018. (*corresponding author) Link: https://www.sciencedirect.com/science/article/pii/S0208521617303133 (IF-4.31)

16. A. Chetan, R. K. Tripathy*, S. Dandapat, "A Diagnostic System for Detection of Atrial and Ventricular Arrhythmia Episodes from Electrocardiogram", Journal of Medical and Biological Engineering, Springer, 38(2), pp. 304-315, 2018. (SCI-E, Scopus) (*corresponding author) Link: https://link.springer.com/article/10.1007/s40846-017-0294-5 (SJR Q4 rated, IF-1.55)

15. LM Satapathy, RK Tripathy, P Das, "A Combination of Variational Mode Decomposition and Histogram Equalization for Image Enhancement ", National Academy Science Letters, Springer, 2018. (SJR Q4 rated, IF-0.416)Link: http://link-springer-com-443.webvpn.jxutcm.edu.cn/article/10.1007%2Fs40009-018-0742-y

14. S. Bagha, R.K. Tripathy, P. Nanda, C. Preetam, D. P. Das, "Understanding Perception of Active Noise Control System through Multichannel EEG Analysis", IET Healthcare Technology Letters, 2018 (Accepted) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2017.0016 (SNIP-0.85)

Year 2017

13. R. K. Tripathy*, S. Dandapat, "Detection of Myocardial Infarction from Vectorcardiogram using Relevance Vector Machine", Signal, Image and Video Processing, Springer, 2017. (*corresponding author) (SCI-E, Scopus) Link: https://link.springer.com/article/10.1007/s11760-017-1068-9 (IF-2.15)

12. R. K. Tripathy*, Mario R. A. Paternina, Juan J. Arrieta, P. Pattnaik, "Detection of Atrial Fibrillation using Two-stage VMD and Atrial Fibrillation Diagnosis Index", Journal of Mechanics in medicine and biology, World Scientific, 17(8), 1-20, 2017. (*corresponding author) (9IF=0.859)  Link: https://www.worldscientific.com/doi/abs/10.1142/S0219519417400449 (IF-0.89)

11. R. K. Tripathy*, Mario R. A. Paternina, P. Pattnaik, "A new method for detection of diabetes from heart rate signal", Journal of Mechanics in medicine and biology, World Scientific, 17(7), 1-12, 2017. (*corresponding author) (9 IF=0.89) Link: https://www.worldscientific.com/doi/abs/10.1142/S0219519417400012

10. H. P. Tripathy, P. Pattanaik, S. K. Kamilla, R. K. Tripathy*, "A Simulation Approach to Study the Effect of Ultrasonic MEMS-based Receiver for Blood Glucose Sensing Applications", IEEE Sensors Letters, 1(5), 2017. (*corresponding author) Link: https://ieeexplore.ieee.org/document/8003313/

9. R. K. Tripathy*, S. Dandapat, "Automated Detection of Heart Ailments from 12-lead ECG using Complex Wavelet Subband Bispectrum Features", IET Healthcare Technology Letters, 4(2), 57-63, 2017. (*corresponding author) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2016.0089 (SNIP-0.85)

8. R. K. Tripathy*, S. Deb, S. Dandapat, "Analysis of Physiological Signal using State Space Correlation Entropy", IET Healthcare Technology Letters, 4(1), 30-33, 2017. (*corresponding author) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2016.0065 (SNIP-0.85): code available at github.com/tripathy12345/SSCE_measure 

Year 2016

7. R. K. Tripathy*, S. Dandapat, "Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features", Journal of Medical Systems, Springer, 40(6):1-9, 2016. (SCI-E, Scopus) (*corresponding author) Link: https://link.springer.com/article/10.1007%2Fs10916-016-0505-6 (IF-4.46)

6. R. K. Tripathy*, L. N. Sharma, S. Dandapat, "Detection of Shockable Ventricular Arrhythmia using Variational mode decomposition", Journal of Medical Systems, Springer, 40(4):1-13, 2016. (SCI-E, Scopus) (*corresponding author) Link: https://link.springer.com/article/10.1007/s10916-016-0441-5 (IF-4.46)

5. R. K. Tripathy*, L. N. Sharma, S. Dandapat, "Diagnostic measure to quantify the loss of Clinical Components in Multilead Electrocardiogram", IET Healthcare Technology Letters, 3(1): 1-6, 2016. (ESCI, Scopus) (*corresponding author) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2015.0047 (SNIP-0.85)

Year 2015

4. L. N. Sharma, R. K. Tripathy, S. Dandapat, "Multiscale energy and eigenspace approach to detection and localization of myocardial infarction", IEEE Transactions on Biomedical Engineering, 62(7):1827-1837, 2015. (IF-4.56) Link: https://ieeexplore.ieee.org/document/7047810/ (IF-4.49)

Year 2014

3. R. K. Tripathy, S. Mahanta, and S. Paul, "Artificial intelligence-based classification of breast cancer using cellular images", RSC Advances, Royal Society (UK), 4(18), 9349-9355, 2014. (SCI-E, Scopus) Link: http://pubs.rsc.org/en/content/articlelanding/2014/ra/c3ra47489e#!divAbstract (IF-3.04)

2. R. K. Tripathy*, L. N. Sharma, S. Dandapat, "A New way of Quantifying Diagnostic Information from Multilead Electrocardiogram for Cardiac Disease Classification", IET Healthcare Technology Letters, 1(4): 98-103, 2014. (*corresponding author) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2014.0080 (SNIP-0.85)

Year 2013

1. S. Behera, R. K. Tripathy, and S. Mohanty. "Least Square Support Vector Machine Modeling of Breakdown Voltage of Solid Insulating Materials in the Presence of Voids", Journal of The Institution of Engineers, Springer, 94(1), 21-27, 2013. (Scopus) Link: https://link.springer.com/article/10.1007/s40031-013-0039-y

Conference Papers

14. Jay Karhade, Haiyue Zhu, Ka-Shing Chung, RK Tripathy, Wei Lin, Marcelo H Ang Jr, "Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering", IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2024.

13. Harika Manda, Shaswati Dash, RK Tripathy, "Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation Using Multi-Lead ECG Signals", 2023 National Conference on Communications (NCC), 2023.  ieeexplore.ieee.org/document/10068090 

12. Chhaviraj Chauhan, RK Tripathy, Monika Agrawal, "Tensor-Domain Machine Learning Based Cardiac Diseases Detection Using 12-Lead ECG", 2023 National Conference on Communications (NCC), 2023. ieeexplore.ieee.org/document/10068027 

11. Shaswati Dash, SK Ghosh, RK Tripathy, Ganapati Panda, RB Pachori, "Fourier Bessel Domain based Discrete Stockwell Transform for the Analysis of Non-Stationary Signals", IEEE Indiscon, KIIT University, Bhubaneswar, India, 2022.  ieeexplore.ieee.org/document/9862863 

10. SK Ghosh, RN Ponnalagu, RK Tripathy, "Classification of PCG Signals Using Fourier-Based Synchrosqueezing Transform and Support Vector Machine", IEEE Sensors International Conference, 2021. ieeexplore.ieee.org/abstract/document/9639687  

9. K Prudviraj, Sandip Deshmukh, RKTripathy, K. Supradeepan, Praveen Tandon, Pramod Kumar Jha, “Machine Learning-based Approach for the Prediction of an Orifice size of Aerospace Vehicle RCS Thrusters during Cold Flow Calibration”, 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA).ieeexplore.ieee.org/document/9666377 

8. PB Ganganaik, OM Gowaikar, VJ Louis, RK Tripathy, V Rajagopalan, BP Rao, S Kundu, "Implementation of Binary Particle Swarm Optimization for Image Thresholding using Memristor Crossbar Array", Third International Conference on Advances in Electrical and Computer Technologies 2021 (ICAECT 2021). link.springer.com/chapter/10.1007/978-981-19-1111-8_72 

7. Samit Kumar Ghosh, RN Ponnalagu, RK Tripathy, "Evaluation of Performance Metrics and Denoising of PCG Signal Using Wavelet Based Decomposition", INDICON, NSUT, Delhi, 2020.ieeexplore.ieee.org/document/9342464

6.   Alejandro Zamora-Mendez, Daniel Dotta, Joe H. Chow, R. K. Tripathy, Mario R. Arrieta Paternina, "Data-Driven Modal Features Extraction Through the Variational Mode Decomposition Method ", IEEE PES INNOVATIVE SMART GRID TECHNOLOGY CONFERENCE - LATIN AMERICA, 2019. ieeexplore.ieee.org/document/8895351 

5.     M.R.A. Paternina, Daniel Guillen, R. K. Tripathy, A. Zamora, J.C. Silva, J. C. Rosas-Caro, "Phasor, Frequency and ROCOF Measurements in Microgrids: A practical approach", IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2017), Ixtapa, Mexico, 2017.ieeexplore.ieee.org/document/8261690/ 

4.     J. M. Ramirez, M.R.A. Paternina, A.Z. Mendez, J.R. Caro, P.G. Vite, R. K. Tripathy, D. Dotta, R.A.A Lopez, "A General Framework for Micro-Grids", IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2017), Ixtapa, Mexico, 2017. (Special Session Organizer)

3.     R. K. Tripathy, S. Dandapat, "Multiresolution Inter-sample and Inter-lead Eigen Error Features for Detection of Cardiac Ailments", Twenty-Second National Conference on Communications (NCC), IIT Guwahati, 2016. ieeexplore.ieee.org/abstract/document/7561157/ 

2.     A. Chetan, R. K. Tripathy, S. Dandapat, "Classification of Cardiac Arrhythmia from Multilead ECG using Multiscale Non-linear analysis", IEEE Conference on Electrical, Computer and Electronics, IIIT Allahabad, 2015. ieeexplore.ieee.org/abstract/document/7456698/ 

1.     R. K. Tripathy, L. N. Sharma, S. Dandapat, "Detection of Cardiac Ailments from multilead ECG using Diagnostic Eigen Error Features", IEEE Conference on Power, Communication and Information Technology, Bhubaneswar, 2015. ieeexplore.ieee.org/document/7438157/ 

Edited Books

1. RK Tripathy, and RB Pachori, "Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing", CRC Press, Taylor and Francis,  ISBN:1040028772, 2024. www.taylorfrancis.com/books/edit/10.1201/9781003479970/artificial-intelligence-enabled-signal-processing-based-models-neural-information-processing-rajesh-kumar-tripathy-ram-bilas-pachori 

2. RK Tripathy, and RB Pachori, "Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing ", Elsevier book, ISBN: 9780443141416, 2024. www.sciencedirect.com/book/9780443141416/signal-processing-driven-machine-learning-techniques-for-cardiovascular-data-processing 

3. Haipeng Liu, RK Tripathy, Pronaya Bhattacharya, "Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems", IGI Global book, 2024. www.igi-global.com/book/clinical-practice-unmet-challenges-enhanced/333688 

4. Haipeng Liu, Gary Tse, Pronaya Bhattacharya, Xinhong Wang, RK Tripathy, Choon-Hian Goh, "Advanced Wearable Sensing in Clinical Practice towards Healthcare 5.0", Springer, 2025. (Currently in the call for chapter phase)

Book Chapters

1.  HariKrishna Damodaran, RK Tripathy, RB Pachori, "Time-Frequency Domain Deep Representation Learning for Detection of Heart Valve Diseases using PCG Recordings for IoT-based Smart Healthcare Applications", Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing, Elsevier book, 2024. www.sciencedirect.com/science/article/abs/pii/B9780443141416000153 

2. Chabiraj Chouhan, RK Tripathy, Monika Aggarwal, "A Third-order Tensor Based Cardiac Diseases Detection from 12-lead ECG signals using Deep Convolutional Neural Network", Signal Processing Driven Machine Learning for Cardiovascular Data Processing, Elsevier book, 2024. www.sciencedirect.com/science/article/abs/pii/B9780443141416000074 

3. JADLO Serna, RK Tripathy, AZ Mendez, MR Paternina,"Verifying the Effectiveness of Taylor-Fourier filter bank based PPG signal denoising Approach using Machine Learning", Signal Processing Driven Machine Learning for Cardiovascular Data Processing, Elsevier book, 2024. www.sciencedirect.com/science/article/abs/pii/B9780443141416000128 

4. Abhay Patwari, Shaswati Dash, RK Tripathy, Ganapati Panda, RB Pachori, "Ramanujan Filter-bank domain Deep CNN for Detection of Atrial Fibrillation using 12-lead ECG", Signal Processing Driven Machine Learning for Cardiovascular Data Processing, Elsevier book, 2024. www.sciencedirect.com/science/article/abs/pii/B9780443141416000086 

5. Dhanajay Pachori, Shaswati Dash, RK Tripathy, TK Jain, "Introduction to Cardiovascular Signals and Automated Systems", Signal Processing Driven Machine Learning for Cardiovascular Data Processing, Elsevier book, 2024. www.sciencedirect.com/science/article/abs/pii/B9780443141416000062 

6. Shaswati Dash, RK Tripathy, Satrujit Mishra, RB Pachori, "Detection of stress levels during Stroop Color-Word Test using multivariate projection-based MUSIC domain EWT of multichannel EEG signal and machine learning", Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing, CRC Press, Taylor and Francis, 2024. www.taylorfrancis.com/chapters/edit/10.1201/9781003479970-12/detection-stress-levels-stroop-color-word-test-using-multivariate-projection-based-music-domain-ewt-multichannel-eeg-signal-machine-learning-shaswati-dash-rajesh-kumar-tripathy-satrujit-mishra-ram-bilas-pachori 

7. N. Muralidharan, S. Gupta, A. Gade, M.R. Prusty, RK Tripathy, and R.B. Pachori, Two-dimensional automatic SSA domain multi-modal deep neural network for detection of COVID19 from lung ultrasound images, Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems, IGI Global, 2024. www.igi-global.com/book/clinical-practice-unmet-challenges-enhanced/333688 

8. SK Ghosh, RK Tripathy, RN Ponnalagu, "A Study on Time-Frequency analysis of Phonocardiogram Signals", Microelectronics and Signal Processing, CRC Press , Taylor and Francis, 2021.www.taylorfrancis.com/chapters/edit/10.1201/9781003168225-11/study-time-frequency-analysis-phonocardiogram-signals-samit-kumar-ghosh-rajesh-kumar-tripathy-ponnalagu 

9. SK Ghosh, RN Ponnalagu, RK Tripathy, "Heart Sound Data Acquisition and Preprocessing Techniques A Review ", Advancement of Artificial Intelligence in Healthcare Engineering , IGI Global, doi: 10.4018/978-1-7998-2120-5 , Feb, 2020. https://www.igi-global.com/book/advancement-artificial-intelligence-healthcare-engineering/235693 

10.  S. Dandapat, L. N. Sharma, R. K. Tripathy, "Quantification of diagnostic information from electrocardiogram signal: A review", In Advances in communication and computing, Lecture notes on Electrical Engineering, Springer, pp. 17-39, 2015. Link: https://link.springer.com/chapter/10.1007/978-81-322-2464-8_2

11.  R. K. Tripathy, S. Dandapat, "Quantifying Clinical Information in MECG Using Sample and Channel Convolution Matrices", In Advances in communication and computing, Lecture notes on Electrical Engineering, Springer, pp. 73-80, 2015. Link: https://link.springer.com/chapter/10.1007/978-81-322-2464-8_5