Prediction of sarcopenia on diabetic Indian Adults using Gait Video Analytics System
This study involved establishing and detecting muscle strength by Gait Video Analytics System in prediction of sarcopenia in diabetic Indian adults. Participants were instructed to walk on their self-selected speed in the stairs for Video analysis to analyses and measure HGS using a Hand Dynamometer they are considered a major parameter to determine Sarcopenia by optimization algorithm. The study states that there was no statistically significant difference between the HGS and DPSO s, and there is a significant difference between the DPSO and PSO. The results revealed that the PSO, DPSO can be used as an alternative tool for HGS for diagnosing diabetic sarcopenia.
Authors
- Varshini Karthik (ORCID: https://orcid.org/0000-0002-8895-1091)
- Ashokkumar Devaraj (ORCID: https://orcid.org/0000-0002-6222-7337)
- J. S. Yogesh Kumar (ORCID: https://orcid.org/0000-0002-1428-3377)
- M. Balakrishnan (ORCID: https://orcid.org/0009-0006-2205-9523)
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1109/ictest64710.2025.11042444
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00