A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study

Autor: Fujita, Koji, Watanabe, Takuro, Kuroiwa, Tomoyuki, Sasaki, Toru, Nimura, Akimoto, Sugiura, Yuta
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: JMIR mHealth and uHealth, Vol 7, Iss 9, p e14172 (2019)
Druh dokumentu: article
ISSN: 2291-5222
DOI: 10.2196/14172
Popis: BackgroundCarpal tunnel syndrome (CTS), the most common neuropathy, is caused by a compression of the median nerve in the carpal tunnel and is related to aging. The initial symptom is numbness and pain of the median nerve distributed in the hand area, while thenar muscle atrophy occurs in advanced stages. This atrophy causes failure of thumb motion and results in clumsiness; even after surgery, thenar atrophy does not recover for an extended period. Medical examination and electrophysiological testing are useful to diagnose CTS; however, visits to the doctor tend to be delayed because patients neglect the symptom of numbness in the hand. To avoid thenar atrophy-related clumsiness, early detection of CTS is important. ObjectiveTo establish a CTS screening system without medical examination, we have developed a tablet-based CTS detection system, focusing on movement of the thumb in CTS patients; we examined the accuracy of this screening system. MethodsA total of 22 female CTS patients, involving 29 hands, and 11 female non-CTS participants were recruited. The diagnosis of CTS was made by hand surgeons based on electrophysiological testing. We developed an iPad-based app that recorded the speed and timing of thumb movements while playing a short game. A support vector machine (SVM) learning algorithm was then used by comparing the thumb movements in each direction among CTS and non-CTS groups with leave-one-out cross-validation; with this, we conducted screening for CTS in real time. ResultsThe maximum speed of thumb movements between CTS and non-CTS groups in each direction did not show any statistically significant difference. The CTS group showed significantly slower average thumb movement speed in the 3 and 6 o’clock directions (P=.03 and P=.005, respectively). The CTS group also took a significantly longer time to reach the points in the 2, 3, 4, 5, 6, 8, 9, and 11 o’clock directions (P
Databáze: Directory of Open Access Journals
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