Back close

Wearable Temperature System

Principal Investigator: Deepthi Rajamohanan (Research Assistant), Dr. Radhagayathri K. U. (Associate Professor), Dr. Jayakumar O. D. (Professor)

Wearable Temperature System

A wearable temperature system was envisaged at the peak outbreak of COVID’19. This was mainly intended to protect the healthcare workers from being exposed to this deadly disease by making remote monitoring of the temperature for the affected patients.

We are developing a wearable temperature system which has been converted to a two-phase process.

Phase 1: An initial prototype of a wearable temperature system was developed and tested. While the system showed promise, accuracy limitations were identified. We winded up the first phase with prototypes developed using MAX30205 contact sensors. Its accuracy range was 0.4+/-0.3, which did not meet the ASTM standards.

Phase 2: To address these accuracy concerns, a set of new sensors were incorporated. This second phase is currently undergoing testing, with the aim of achieving significantly improved temperature measurement precision. First level of testing the sensors has been completed showcasing promising results for a wearable temperature system. Further tests are in progress.

Proposed Future Work Details

  • After finalisation of the temperature sensor by testing and validation, a wrist based prototype is expected
  • Third phase will be integration of this sensor to a flexible platform.

Related Projects

Screening, Identification and Characterisation of Bacteriocins Isolated from Wine Microflora
Screening, Identification and Characterisation of Bacteriocins Isolated from Wine Microflora
Development of New and Efficient Photo Sensitizer for Dye Solar Cell
Development of New and Efficient Photo Sensitizer for Dye Solar Cell
eGovernance Big Data Analytics Platform
eGovernance Big Data Analytics Platform
WISE (Women in Sustaining the Environment)
WISE (Women in Sustaining the Environment)
Automated structural evolution and performance optimization of RF bandpass filters – An evolutionary Algorithmic Design Approach
Automated structural evolution and performance optimization of RF bandpass filters – An evolutionary Algorithmic Design Approach
Admissions Apply Now