| Autor: |
Takuro Watanabe, Takafumi Koyama, Eriku Yamada, Akimoto Nimura, Koji Fujita, Yuta Sugiura |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Journal of Clinical Medicine, Vol 10, Iss 19, p 4437 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2077-0383 |
| DOI: |
10.3390/jcm10194437 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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