Hyperspectral reconstruction for mobile diabetic foot blood perfusion monitoring
Our results demonstrate that a HSR system can be used to monitor diabetic foot ulcers using just images/videos minimizing the need for procedures prior to or during use and with mobile hardware patients already have. We anticipate that in the future our advancements in HSR can be used for other smart health applications that relate to perfusion, and we anticipate that similar HSR based systems can be used to monitor other tissue parameters such as sweat concentrations.
Authors
- Wenyao Xu (ORCID: https://orcid.org/0000-0001-6444-9411)
- A. Demirbaş (ORCID: https://orcid.org/0000-0002-6576-3055)
- Alexander Gherardi (ORCID: https://orcid.org/0000-0001-8006-7253)
- Zhan Ye (ORCID: https://orcid.org/0000-0002-0426-0382)
- Bo Wei (ORCID: https://orcid.org/0009-0009-9518-751X)
Institutions
- Linde (United States) (US)
- University at Buffalo, State University of New York (US)
Publication Details
- Journal
- BMC Artificial Intelligence
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1186/s44398-025-00011-8
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67