Overview
Undergraduate project (Biomedical Instrumentation Lab, under supervision noted on LinkedIn):
Non-invasive Blood Glucose Estimation Using Multi-sensor Based Portable and Wearable System
Explored whether multiple physiological signals could support non-invasive glucose estimation using sensing + computation.
Engineering elements
- Photoplethysmography (PPG)
- Galvanic skin response (GSR)
- Temperature sensing
- Multisensor data handling
- CNN-based estimation approach
Publication
IEEE publication associated with this work (verify full citation on IEEE Xplore):
- Title as above
- Recorded date on profile: 12 March 2020
- Link: IEEE Xplore document 9033119
What transferred to later work
Measurement quality, noise, validation against a reference, and honest limits of a model—the same discipline applies to industrial instrumentation: processing cannot fix a bad signal.
Important limitation
This describes an engineering research prototype. It does not claim clinical validation or suitability for medical diagnosis or treatment.