Publications : Journals (Selected)

Sahana Ray, Tuhin Das, Sumitra Mukhopadhyay, and Rajarshi Gupta, "A2IPPG: A Machine Learning Assisted Real-time Standalone Continuous Authorization to Identification Using Photoplethysmogram Features", IEEE Sensors Letters, DOI: 10.1109.LSENS.2025.3586840 (Accepted Manuscript) 

Priyanka Bera, Kaushik Das and Rajarshi Gupta, "An Efficient Multi-Channel EEG Compression Using Intelligent Tunable Q-Wavelet Transform: A Machine Learning-Driven Approach", Journal of Circuits, Systems and Computers (World Scientific), DOI: 10.1142/S0218126625503967 (Accepted).

Nirmal Murmu, Rajarshi Gupta and Kaushik Das Sharma, "Real-time PPG-to-ECG Reconstruction Model with On-Device Recalibration Facility", IEEE Transactions on Instrumentation and Measurement, Vol. 73, 2024. (DOI: 10.1109/TIM.2024.3450120) Accepted Manuscript. 

Debasmita pal, Sumitra Mukhopadhyay, and Rajarshi Gupta, "Ensembled Data Augmentation Model for Simplified Cardiac Arrhythmia Detection Under Limited Minority Class Data", IEEE Transactions on Instrumentation and Measurement, Vol. 73, 2024 (DOI: 10.1109/TIM.2024.3460887) (Accepted) Accepted manuscript. 

Ayush Aman, Mausam Bhunia, Sumitra Mukhopadhyay and Rajarshi Gupta, "Machine learning assisted classification between diabetic polyneuropathy and healthy subjects using plantar pressure and temperature data: a feasibility study", Computer Methods in Biomechanics and Biomedical Engineering, 2024, DOI:10.1080/10255842.2024.1359041.

Sk. Md. Shafique Anwar, Debasmita Pal, Sumitra Mukhopadhyay, and Rajarshi Gupta, "A Lightweight Method of Myocardial Infarction Detection and Localization from Single Lead ECG Features Using Machine Learning Approach", IEEE Sensors Letters, Vol. 8, No.4, April 2024, pp.1-4, DOI: 10.1109/LSENS.2024.3374790 (Accepted Manuscript). 

Aytrik Bose, Shatanik Mukherjee, Jayanta K. Chandra, Rajarshi Gupta, and Dipankar Ghosh, "On-device Signal Quality Guided and Embedded Physiologic Information for High Fidelity Continuous PPG Compression", IEEE Transactions on Instrumentation and Measurement, Vol. 73, 2024 (DOI: 10.1109/TIM.2024.3351256) (Accepted Manuscript).

Samiul Alam, Rajarshi Gupta and Kaushik Das Sharma, "On-Device Multi-level Signal Quality Aware Compression for Energy-efficient Wearable PPG Sensing", IEEE Sensors Journal, Vol. 23, No. 4, pp. 3955 - 3964, 2023 DOI: 10.1109/JSEN3234171 (Accepted Manuscript).

Soumyak Chandra, and Rajarshi Gupta, "Smart Biomedical Sensor Network for Multi-patient Cardiac Arrhythmia Monitoring", IEEE Transactions on Instrumentation and Measurement, Vol. 72, 2023, DOI: 10.1109/TIM.2022.3231278 (Author accepted manuscript).

Debasmita Pal, Sumitra Mukhopadhyay and Rajarshi Gupta, "Two-stage Classifier for Resource Constrained Onboard Cardiac Arrhythmia Detection", IEEE Transactions on Instrumentation and Measurement, Vol. 72, 2023, DOI: 10.1109/TIM.2022.3224535 (Author accepted Manuscript).

Anumita Mitra, Palash Kumar Kundu, Rajarshi Gupta, Jayanta Saha & Arunansu Talukdar, "CardioSim: a PC-based Cardiac Signal Simulator using Segmental Modeling of Electrocardiogram", Computer Methods in Biomechanics and Biomedical Engineering (2022), Vol. 26, No. 23, pp. 1532-1548, 2023. DOI: 10.1080/10255842.2022.2127318. 

Monalisa Singha Roy, Rajarshi Gupta and Kaushik Das Sharma, "BePCon: A Photoplethysmography-based Quality-aware Continuous Beat-to-Beat Blood Pressure Measurement Technique Using Deep Learning", IEEE Transactions on Instrumentation and Measurement (2022), Vol. 71, 2022. DOI: 10.1109/TIM.2022.3212750 (author accepted manuscript).

Nilava Mukherjee, Sumitra Mukhopadhyay, and Rajarshi Gupta, "Real-time Mental Stress Detection Technique Using Neural Networks towards A Wearable Health Monitor", Special Issue on Neural Networks in Measurement, Measurement Science and Technology (IoP Science), Vol. 33, No. 4, 2022, DOI: 10.1088/1361-6501/ac3aae. 

Pratyush Prasun, Sumitra Mukhopadhyay and Rajarshi Gupta, "Real-time Multi-class Signal Quality Assessment of Photoplethysmography using Machine Learning Technique", Measurement Science and Technology (IoP Science), Vol. 33, No. 1, 2022, DOI: 10.1088/1361-6501/ac2d5b. 

Samiul Alam, Rajarshi Gupta and Kaushik Das Sharma, "On-board Signal Quality Assessment Guided Compression of Photoplethysmogram for Personal Health Monitoring", IEEE Transactions on Instrumentation and Measurement, Vol. 70, 2021, DOI: 10.1109/TIM.2021.3067238 (author accepted manuscript).

Biplab Roy, Arka Roy, Jayanta K. Chandra, and Rajarshi Gupta, "i-PRExT: Photoplethysmography Derived Respiration Signal Extraction and Respiratory Rate Tracking Using Neural Networks", IEEE Transactions on Instrumentation & Measurement, Vol. 70, 2021, DOI: 10.1109/TIM.2020.3043506 (author accepted manuscript).

Priyanka Bera, and Rajarshi Gupta, "Disease-Aware Compression of Multi-lead Electrocardiogram using Intelligent Hybrid Encoder", IETE Technical Review (Taylor & Francis), 2020, DOI:  10.1080/02564602.2020.1831971 (PDF).

Monalisa Singha Roy, Biplab Roy, Rajarshi Gupta and Kaushik Das Sharma, "On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks", IEEE Transactions on Biomedical Circuits and Systems, Vol. 14, No. 6, December 2020, pp. 1323 - 1332, DOI:10.1109/TBCAS.2020.3028935 (author accepted manuscript).

Soumyak Chandra, Abhijit Chandra and Rajarshi Gupta, "An Efficient Data Routing Scheme for Multi-patient Monitoring in a Biomedical Sensor Network through Energy Equalization Strategy", Wireless Networks (Springer), Vol. 27, pp. 635-648, 2021, DOI: 10.1007/s11276-020-02472-3. Free reading link: https://rdcu.be/b8jN4 

Biplab Roy, and Rajarshi Gupta, "MoDTRAP: Improved Heart Rate Tracking and Preprocessing of Motion-Corrupted Photoplethysmographic Data for Personalized Healthcare", Biomedical Signal Processing and Control (Elsevier Sc.),  Vol. 56, Feb 2020,  (DOI: 10.1016/j.bspc.2019.101676) (PDF).  

Priyaka Bera, Rajarshi Gupta and Jayanata Saha, "Preserving Abnormal Beat Morphology in Long-term ECG Recording: An Efficient Hybrid Compression Approach ", IEEE Transactions on Instrumentation & Measurement, Vol. 69, No. 5, pp. 2084-2092  (DOI:10.1109/TIM.2019.2922054) (author accepted manuscript). 

Soumyak Chandra, Rajarshi Gupta, Saurav Ghosh and Sanjoy Mondal, "An intelligent and power efficient biomedical sensor node for wireless cardiovascular health monitoring", IETE Journal of Research (Taylor & Francis), (DOI:10.1080/03772063.2019.1611489) (PDF).

Samiul Alam, Rajarshi Gupta, Jitendra Nath Bera, "Quality Controlled Compression Technique for Photoplethysmogram Monitoring Applications", Measurement (Elsevier), Vol.130,  pp. 236-246, Dec 2018. (DOI: 10/1016/j.measurement.2018.07.091). 

Monalisa Singha Roy, Rajarshi Gupta, Jayanta K. Chandra, Kaushik Das Sharma, and Arunansu Talukdar, "Improving Photoplethysmographic Measurements under Motion Artifacts using Artificial Neural Network for Personal Healthcare", IEEE Transactions on Instrumentation & Measurement, Vol. 67, No. 12, pp. 2820-2829, Dec 2018. (DOI: 10.1109/TIM.2018.2829488) (author accepted manuscript).

Priyanka Bera, Rajarshi Gupta, "Hybrid encoding Algorithm for real time compressed electrocardiogram acquisition", Measurement (Elsevier), Vol. 91, pp. 651-660, 2016, (DOI: 10.1016/j.measurement.2016.05.085).

R. Gupta, "Quality aware compression of electrocardiogram using principal component analysis", Journal of Medical Systems (Springer), Vol. 40, No. 5, pp. 1-11, 2016 [DOI:10.1007/s10916-016-0468-7]. SharedIt link for free access: http://rdcu.be/mSGH.

H.K. Chatterjee, R. Gupta and M. Mitra, "Real time detection of Electrocardiogram wave features using template matching and implementation in FPGA", International Journal of Biomedical Engineering and Technology (Inderscience Pub.), Vol. 17, No. 3, pp. 290-313, 2015 (DOI: 10.1504/IJBET.2015.068112).

Rajarshi Gupta, "Lossless Compression Technique for Real-time Photoplethysmographic Measurements", IEEE Transactions on Instrumentation & Measurement, Vol. 64, No. 4, April 2015, pp. 975-983 [DOI: 10.1109/TIM.2014.2362837] (author accepted manuscript) .

 R. Gupta and M. Mitra, "Wireless Electrocardiogram Transmission in ISM Band: An Approach Towards Telecardiology", Journal of Medical Systems (Springer), Vol. 38, No. 10, Article 90,  October 2014, pp. 1-14 [DOI: 10.1007/s10916-014-0090-5].SharedIt link for free access: http://rdcu.be/mSHr

H.K. Chatterjee, R. Gupta and M. Mitra, "An Approach to Determine Amplitude Features from ECG Records", International Jour of Biomedical Engineering and Technology (Inderscience Pub.), Vol. 12, No. 2, 2013, pp. 130-146 [doi.org/10.1504/IJBET.2013.056506].

M. Mitra, J.N. Bera and R. Gupta, “Electrocardiogram Compression Technique for Global System of Mobile- based Offline Telecardiology Application for Rural Clinics in India",  IET Science, Measurement & Technology, Vol. 6, No. 6, pp. 412-419, November 2012 [DOI: 10.1049/iet-smt.2012.0004] (PDF).

R. Gupta, J.N. Bera and M. Mitra, “An Intelligent Telecardiology System for Offline Wireless Transmission and Remote Analysis of ECG”, Journal of Medical Engineering & Technology (Informa Healthcare), Vol. 36, No. 7, October 2012, pp. 358-365 [DOI: 10.3109/03091902.2012.712200] (PDF).

S. Banerjee, R. Gupta and M. Mitra, “Delineation of ECG Characteristic Features using Multiresolution Wavelet Analysis Method”, Measurement (Elsevier), vol. 45, No.3, April 2012, pp.474-487 [DOI:10.1016/j.measurement.2011.10.025].

Rajarshi Gupta, Jitendra Nath Bera, and Madhuchhanda Mitra, “A Bi-Phase Enabled Serial Acquisition System for Remote Processing of Digitized ECG”,  Computers and Electrical Engineering (Elsevier), Vol.38, No. 1, January 2012, pp.68-74 [DOI:10.1016/j.compeleceng.2011.04.017].

H. K. Chatterjee, R. Gupta and M. Mitra, “A Statistical Approach for Determination of Time Plane Features from Digitized ECG”, Computers in Biology and Medicine (Elsevier),  vol. 41, No. 5, May 2011, pp.278-284 [DOI:10.1016/j.compbiomed.2011.03.003].

R. Gupta, J.N. Bera and M. Mitra, “Development of an Embedded System and MATLAB-based GUI for online Acquisition and Analysis of ECG Signal”, Measurement (Elsevier), vol. 43, No.9, November 2010, pp.1119-1126, [DOI:10.1016/j.measurement.2010.05.003].