Before joining CMTI, Dr. Dutta was engaged as an Assistant Professor in the Department of Biomedical Engineering at Lovely Professional University, Jalandhar, Punjab, prior to which she worked as a Postdoctoral Research Associate in the Department of Electrical Engineering at Indian Institute of Technology, Hyderabad. Dr. Dutta has been engaged as Visiting Researcher in the ‘Neuroimaging and Neuro-informatics Laboratory’ at Kyushu University, Ito Campus, Fukuoka, Japan for a short-term research. Altogether, she has a research experience of 3.5 years and teaching experience of 4 years from various organizations of repute.
- B.Tech. in Electronics and Instrumentation Engineering from MAKAUT (formerly WBUT)
- M.Tech. in Biomedical Engineering from National institute of Technology (NIT) Rourkela
- PhD in Engineering from Academy of Scientific and Innovative Research (AcSIR), CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal. (Thesis title: “Assessment of Grasp Ability of Stroke Survivors: a machine learning based approach”)
Dr. Dutta’s research interest revolves around the development of wearable technologies for healthcare applications. She has contributed immensely towards the future of at-home rehabilitation for stroke victims through the development of intelligent glove for automated grasp ability assessment. She was also engaged as a ‘visiting researcher’ at ‘Neuroimaging and Neuro-informatics Laboratory’ at Kyushu University, Ito Campus, Fukuoka, Japan, wherein, she explored the strategies for classification of stroke patients from EEG data and identification of stroke driven disability through EMG data. Dr. Dutta have developed and deployed various cattle health monitoring devices, namely, MOOnitor, MOOcare, and MOOpedo, in several industries and organized farms as a part of Government of India funded projects aiming towards the development of IoT-enabled solutions for continuous health monitoring and early detection of diseases in cattle.
As a senior research fellow at CSIR-CMERI, she was involved in the research on elbow joint angle estimation with surface electromyography. During her postdoctoral period at IIT Hyderabad, she worked towards the development of a low complex methodology for sEMG-based hand activity identification for rehabilitation and prosthetic applications and was also involved in the development of bio-signal driven soft actuator-based glove for at-home rehabilitation and functional assistance to patients suffering from hand disability. Recently, Dr. Dutta is involved in development of wearable sensors for AI and IoT assisted identification of respiratory diseases.
- Principal Investigator of PRISM (Promoting Innovations in Individuals, Start-ups and MSMEs) project funded by Department of Scientific and Innovative Research, Govt of India. Title of the project- IoT enabled cattle health monitoring system for empowerment of Indian farmers. Duration: Feb 2019 to Feb 2020. Total project cost: Rs 5.57 lacs.
- Principal Investigator of PRISM (Promoting Innovations in Individuals, Start-ups and MSMEs) project funded by Department of Scientific and Innovative Research, Govt of India. Title of the project- Early Detection of Estrous and Foot and Mouth Disease (FMD) in Indian Cattle using Intelligent Wearable Prototype Development and Deployment. Duration: September 2021 to January 2023. Total project cost: Rs 6.85 lacs.
Journals
- Dutta, S. Aruchamy, S. Mandal, S. Sen, “Poststroke Grasp Ability Assessment using an Intelligent Data Glove based on Action Research Arm Test: Development, Algorithms, and Experiments.” IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2021.3110432, 2021. Impact Factor: 4.7
- Dutta, S. Modak, A. Kumar, J. Roychowdhury, S. Mandal, ” Bayesian network aided grasp and grip efficient estimation using a smart data glove for post-stroke diagnosis.” Biocybernetics and Biomedical Engineering, Elsevier, doi: j.bbe.2016.09.005, 2017, 37, 44-58. Impact Factor: 5.6.
- Dutta, S. Sen, S. Aruchamy, S. Mandal, Prevalence of post-stroke upper extremity paresis in developing countries and significance of m-Health for rehabilitation after stroke – A review, Smart Health, Elsevier, 23, 2022, Article ID: 100264
- Dutta, D. Natta, S. Mandal, N. Ghosh, MOOnitor: An IoT based multi-sensory intelligent device for cattle activity monitoring, Sensors and Actuators A-Physical, Elsevier, 333, 2022, Article ID: 113271, DOI: 10.1016/j.sna. 2021.113271. Impact Factor- 4.2
- Mandal, S. Paul, S. Mukhopadhyay, R.K. Arun, D. Dutta, N. Chanda, Gold nanoparticle embedded micro channel array for enhanced power generation, Lab on a Chip, RSC, 20, 2020, 2717-23. DOI: 10.1039/ D0LC00552E. Impact Factor-6.799
- Mondal, D. Dutta, N. Chanda, N. Mandal, S. Mandal*, RESPIPulse: Machine learning assisted sensory device for pulsed mode delivery of oxygen bolus using surface electromyography (sEMG) signals, Sensors and Actuators-A, 369,115121, 2024, DOI: 10.1016/j.sna.2024.115121. Download PDF Impact Factor-4.6
Conferences
- Debeshi Dutta, Biswajeet Champaty, Kunal Pal, Indranil Banerjee, “Finger Movement Based Attender Calling System for ICU patient management and rehabilitation”, IEEE Xplore digital library publication, ICCPCT-2014, NIUEE, Thuckalay.
- Debeshi Dutta, Biswajeet Champaty, Kunal Pal, Indranil Banerjee, “Development of a Wireless Attendant Calling System for Improved Patient Care”, IEEE Xplore digital library publication, ICAME-2015 [Selected for Oral Presentation]
- Debeshi Dutta, Soumen Sen, Srinivasan Aruchamy, Soumen Mandal, “Development of a smart glove for affordable diagnosis of stroke driven upper extremity paresis”, IEEE Xplore digital library publication, ICCECE, 2020.
- Bhardwaj, Diptasri Ghosh, Debeshi Dutta et al., “Low Complex CORDIC-based Hand Movement Recognition Design Methodology for Rehabilitation and Prosthetic Applications,” 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109/EMBC40787.2023.10340238.
- Best paper award for the paper titled: “Development of a smart glove for affordable diagnosis of stroke driven upper extremity paresis” presented at IEEE-International Conference on Computer, Electrical and Communication Engineering at Techno India University Kolkata on 17-18 January 2020.
- Second prize in hall presentation in “Swasth Bharat Theme” at India International Science Festival- 2017 held at National Physical Laboratory, New Delhi, India. Title of the talk: Bayesian network aided grasp and grip efficiency estimation using a smart data glove for post-stroke diagnosis.
Inventor- Debeshi Dutta, Patent Title- Internet of things (IoT) enabled wearable device for monitoring, location, health and fertility of cattle. Indian Patent. Date of filing: 09.01.2020. Patent Application Number: 202031000990. Status: Filed.
