The accuracy of a screening system for carpal tunnel syndrome using hand drawings

Takuro Watanabe, Takafumi Koyama, Eriku Yamada, Akimoto Nimura, Koji Fujita, Yuta Sugiura

研究成果: Article査読

1 被引用数 (Scopus)

抄録

When carpal tunnel syndrome (CTS), an entrapment neuropathy, becomes severe, thumb motion is reduced, which affects manual dexterity, such as causing difficulties in writing; therefore, early detection of CTS by screening is desirable. To develop a screening method for CTS, we developed a tablet app to measure the stylus trajectory and pressure of the stylus tip when drawing a spiral on a tablet screen using a stylus and, subsequently, used these data as training data to predict the classification of participants as non‐CTS or CTS patients using a support vector machine. We recruited 33 patients with CTS and 31 healthy volunteers for this study. From our results, non‐ CTS and CTS were classified by our screening method with 82% sensitivity and 71% specificity. Our CTS screening method can facilitate the screening for potential patients with CTS and provide a quantitative assessment of CTS.

本文言語English
論文番号4437
ジャーナルJournal of Clinical Medicine
10
19
DOI
出版ステータスPublished - 2021 10月 1

ASJC Scopus subject areas

  • 医学(全般)

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