Publications

Journal Publications:

1. Rajarshi Bhadra, Soujanya Chowdhury, Arka Roy, Jayanta K. Chandra, and Rajarshi Gupta, "QaPRExt: A Unified Deep Learning Framework for Quality-aware PPG-derived Respiration Signal Extraction for Personalized Healthcare", Measurement Science and Technology (IOP Science), DOI:10.1088/1361-6501/ae0c05. 

2. Aytrik Bose, Soujanya Chowdhury, Jayanta K. Chandra, Arunansu Talukdar, and Rajarshi Gupta, "PPG-derived Respiration Signal Predictor Guided Simple Rule-Based Detection of COPD", IEEE Transactions on Instrumentation and Measurement, Vol. 74, 2025, DOI: 10.1109/TIM.2025.3611460 (Accepted Manuscript).  

3. 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, Vol.9, No.8, August 2025, DOI: 10.1109.LSENS.2025.3586840 (Accepted Manuscript) 

4. 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.

5. 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. 

6. 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. 

7. 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.

8. 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). 

9. 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).

10. 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).

11. 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).

12. 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).

13. 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. 

14. 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).

15. 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. 

16. 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. 

17. 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).

18. 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).

19. 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).

20. 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).

21. 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 

22. 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).  

23. 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). 

24. 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).

25. 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). 

26. 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).

27. 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).

28. 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.

29. 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) .

30.  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

Conference Publications (last 5 years) 

1. Sudipta Das, Priya Sardar, and Rajarshi Gupta, "Identification of Twelve Fault Classes from IEEE-9 Bus System Using Autoencoder and XGBoost", 4th IEEE Conference on Applied Signal Processing (ASPCON), 2025, Kolkata (Accepted).

2. Sayantan Datta, Nabanita Banerjee, Sumitra Mukhopadhyay and Rajarshi Gupta, "Mean-Deviation Based Sample Reduction and Fourier Decomposition Guided Low Resource Mental Stress Detection", 4th IEEE Conference on Applied Signal Processing (ASPCON), 2025, Kolkata (Accepted).

3. Partha Sarathi Maity, Dhiman Das, Debasmita Pal, Rajarshi Gupta and Sumitra Mukhopadhyay, "MobiECG: A Mobile Phone-based Real-time Atrial Fibrillation Detection from Electrocardiogram", 4th IEEE Conference on Applied Signal Processing (ASPCON), 2025, Kolkata (Accepted).

4. Debasmita Pal (*), Sumitra Mukhopadhyay and Rajarshi Gupta, "Data Augmentation by Hybrid Data Resampling: Towards Enhanced Performance in Automatic Cardiac Arrhythmia Detection", IEEE CALCON 2024, Kolkata India, DOI: 10.1109/CALCON63337.2024.10914252 . 

5. Priya sardar (*), Rajarshi Gupta, and Jayanta K. Chandra, "Detection of Diabetes using Short-duration Photoplethysmography", IEEE CALCON 2024, Kolkata India DOI: 10.1109/CALCON63337.2024.10914214.

6. Nabanita Banerjee (*), Sumitra Mukhopadhyay and Rajarshi Gupta, "AURG-GWO: Adaptive Updation and Random Grouping based GWO for Mental Stress Detection", IEEE CALCON 2024, Kolkata India, DOI: 10.1109/CALCON63337.2024.10914318.

7. Nirmal Murmu (*), Rajarshi Gupta, and Kaushik Das Sharma, "MemSAR: A New Memory-Based Stacked Autoencoder for Blood Pressure Measurement using Single Channel Photoplethysmography", 6th International Conference on Emerging Technologies: Micro to Nano (ETMN 2024), New Delhi, 23-24 Nov 2024.

8. Rajarshi Gupta(*), "Wearable Health Monitoring: Challenges and Opportunities", 2023 8th International Conference on Computers and Devices for Communication (CODEC), 14-16 December 2023, Kolkata, India DOI: 10.1109/CODEC60112.2023.10466000 (Invited Speaker).

9. Mousumi Mondal(*), Shromana Majumder(*), Sumyak Chandra, Debasmita Pal, Rajarshi Gupta, and Sumitra Mukhopadhyay, "A Wireless In-shoe Plantar Pressure Sensing System With Embedded Sensor Condition Analysis", IEEE 2023 Smart Generation Technologies in Computing, Networking & Communication (SMARTGENCON), Bengaluru, India, Dec 29-31, 2023, DOI: 10.1109/SMARTGENCON60755.2023.10442612 .

10. Yudha Raja Singam D(*), Sumitra Mukhopadhyay and Rajarshi Gupta, "FPGA Based Implementation of Cuffless Blood Pressure Measurement Using Photoplethysmogram Signal", 3rd. International Conference on Signal and Data Processing (ICSDP), Nov 3-5, 2023, VIT Bhopal University. 

11. Debasmita Pal(*), Sumitra Mukhopadhyay and Rajarshi Gupta, "A Machine Learning-based Lightweight and Real-time Cardiac Arrhythmia Detection Using Optimum Samples and Features", 9th. IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON-2022), Dec 2-4, 2022 , Allahabad (Awarded best paper in Track: Signal Processing); DOI: 10.1109/UPCON56432.2022.9986397 

12. Priya Sardar(*), Rajarshi Gupta, and Sumitra Mukhopadhyay, "Multiclass Signal Quality Assessment of Electrocardiogram using Entropy-based Features and Machine Learning Technique", IEEE Silchar Sub-section Conference (SILCON-2022) Nov 4-6 2022, Silchar, India, DOI: 10.1109/SILCON55242.2022.10028787.

13. Anumita Mitra(*), Palash Kundu, and Rajarshi Gupta, "Hyperparameter Optimization of AutoRegressive Integrated Moving Average (ARIMA) Model-based Synthesis of Electrocardiogram", 2022 International Conference for Advancement in Technology (ICONAT), Jan 21-22, 2022, Goa, India. DOI: 10.1109/ICONAT53423.2022.9725911.

14. Souvik Ghosh(*), Sumitra Mukhopadhyay, and Rajarshi Gupta, "A New Physiology-based Objective Mental Stress Detection Technique with Reduced Feature Set and Class Imbalanced Dataset Management", International Conference on Technology, Research, and Innovation for BEtterment of Society (TRIBES – 2021), Dec 17-19, 2021, Dr. Shyama Prasad Mukherjee International Institute of Information Technology, Naya Raipur, India, DOI: 10.1109/TRIBES52498.2021.9751622 .

15. Soumyak Chandra(*), and Rajarshi Gupta, "Coordinate-assisted Routing in a Biomedical Sensor Network with Schedule-based Dynamic Sink", Presented at 8th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON-2021), Nov 11-13, 2021, Dehradun, Uttarakhand, India, DOI: 10.1109/UPCON52273.2021.9667559 .

16. Rikon Ghosh(*), Sukarna Nag, and Rajarshi Gupta, "A Software-based Linearization Technique for Thermocouples using Recurrent Neural Network ", Presented at 2021 IEEE Mysore Sub Section International Conference (MysuruCon-2021), October 24-25, 2021, Mysuru, Karnataka, India, DOI: 10.1109/MysuruCon52639.2021.9641731 .