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Diagnosis of carpal tunnel syndrome using a 10-s grip-and-release test with video and machine learning analysis.
- Source :
- Journal of Hand Surgery (17531934); May2024, Vol. 49 Issue 5, p634-636, 3p
- Publication Year :
- 2024
-
Abstract
- We developed a finger motion-based diagnostic system for carpal tunnel syndrome by analysing 10 second grip-and-release test videos. Using machine learning, it estimated presence of carpal tunnel syndrome (89% sensitivity and 83% specificity) and correlated with severity on nerve conduction studies (coefficient 0.68). [ABSTRACT FROM AUTHOR]
- Subjects :
- CARPAL tunnel syndrome
MACHINE learning
NERVE conduction studies
DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 17531934
- Volume :
- 49
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Hand Surgery (17531934)
- Publication Type :
- Academic Journal
- Accession number :
- 178103975
- Full Text :
- https://doi.org/10.1177/17531934231214661