DST WB project on COPD detection

 Project Title: Development of Low cost Point‐of‐care Technology for Early Screening of Chronic Obstructive Pulmonary Disease (COPD) for Remote Population of West Bengal. 

15(Sanc.)/ST/P/S&T/6G-6/2018 dtd:29/01/2019

Period: 2019-2023

Funding Agency: Department of Science & technology and Biotechnology, Govt of West Bengal

Total Funding in INR: 10.80 Lakhs.

Principal Investigator / Coordinator: Dr. Jayanta K. Chandra, Assoc. Professor & HoD, EE

RK Mahato Govt. Engg. College, Purulia, West Bengal

Co-Principal Investigator-I: Dr. Rajarshi Gupta

Co-Principal Investigator-II: Dr. Arunansu Talukdar, Professor, Dept. of Medicien, Medical College & Hospital, Kolkata.

Objective of the project: 

In remote and underdeveloped localities like Purulia district in the state of West Bengal, an enormous numbers of people suffer from Chronic Obstructive Pulmonary Disease (COPD) due to addiction towards tobacco and use of bio-fuels like, kerosene, cake of cow dunk, coal etc.

The aim of the proposal is to develop a low cost, portable point of care technology (PoCT) for early screening of COPD with high level of accuracy using cardiovascular and respiratory signals. The developed system will be able to predict the nature of aggravation, i.e., early stage or matured stage in a quantitative scale. In case of early stage of COPD the patient will be advised to take the preventive measures and may be subjected to periodic monitoring. In case of Acute Exacerbation COPD (AECOPD) being detected the patient will be referred to the hospital on an urgent basis. The portable system will acquire short duration biomedical signals like Electrocardiogram (ECG), Photoplethysmogram (PPG), arterial partial carbon dioxide pressure (PaCO2) which are easy to acquire. From the acquired signals clinical features will be extracted and a machine learning based signal processing algorithm will be developed to detect the COPD and its grade.

Outcome:

1. Biplab Roy(*), and Rajarshi Gupta, "Estimation of Respiration Rate from Motion Corrupted Photoplethysmogram: A Combined Time and Frequency Domain Approach", 2019 IEEE R10 Symposium (TENSYMP), June 7-9, 2019, Kolkata, pp.292-297 , DOI: 10.1109/TENSYMP46218.2019.8971202

2. 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).