Page 15 - Covid 12 July 2021

digitised pathological, clinical, and occupational data, etc. AI algorithms are used to extract relevant information from these datasets to build diagnosis and prognosis models to assist the doctors remotely interacting with patients.
This project aims towards (i) a tailored made solution for providing tele-health solutions based on the existing solutions for screening of COVID-19 suspects, (ii) deployment of multiple kiosks at COVID-19 hotspot areas, and (iii) AI-based model development and enhancement for sensor data analytics for COVID-19 screening.
Contact info:
sumitk@iitj.ac.in, saksham.saxena@investindia.org.in
Non-invasive estimation of care – body temperature, heart rate,
SPO2 for classification of subject as healthy or non-healthy
This project is to find non-invasive estimation of vital physiological-parameters such as core body temperature (despite ambient temperature), heart rate, respiration rate, blood-oxygen saturation levels (SpO2) from thermal and RGB videos, towards classification of individuals as ‘healthy’ or otherwise.
Given the crisis triggered by the COVID-19 pandemic, this technology is envisioned to be of use in the preliminary screening/monitoring of individuals at entrance points, critical habitation zones, in-patient wards, homes for the elderly and other such areas. While the core body temperature would indicate the presence of fever-like symptoms, irrespective of the environmental temperature, the other parameters would help identify (apparently asymptomatic) individuals suffering from silent hypoxia (abnormally low levels of oxygen in the blood with no external manifestation) – one of the primary symptoms of COVID-19.The initiative has been supported by DST-RAKSHAK.
Contact info:
romibanerjee@iitj.ac.in, saksham.saxena@investindia.org.in
VOL. IV ISSUE 6
VIGYAN PRASAR 11
NATION’S S&T EFFORTS AGAINST COVID-19