Development of a Cost-Effective Portable Diabetes Monitoring Device for Sub-Saharan Africa
Diabetes mellitus, a chronic medical condition characterized by high blood glucose levels, affects more than 24 million individuals in Sub-Saharan Africa. The lack of cost-effective glucose monitoring devices worsens this crisis. Our work introduces GlucoVision, a diabetes monitoring device for this region. GlucoVision utilizes near-infrared (NIR) spectroscopy within a durable wristwatch to non-invasively monitor glucose levels. A K-Nearest Neighbors model demonstrated an average error of $\mathbf{2. 4 5 \%}$, making the model promising for implementation. Cost analysis was performed to calculate a baseline cost of ${\$}$ 13.27. Additionally, a proof-of-concept was created and produced proper results, demonstrating the promise of using the proposed materials.
Authors
- Senthilvel Vasudevan (ORCID: https://orcid.org/0000-0001-7175-3534)
- Daniel Park (ORCID: https://orcid.org/0000-0001-5191-1371)
- Sreesamhitha Bhamidipati
- Sanjit Kakarla
- Gajan Mohan Raj
- Weronika Wasniowska (ORCID: https://orcid.org/0009-0004-8404-1156)
Institutions
- Rutgers, The State University of New Jersey (US)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/urtc65039.2024.10937576
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00