Video Analysis of Hand Gestures for Distinguishing Patients with Carpal Tunnel Syndrome

Ryota Matsui, Takuya Ibara, Kazuya Tsukamoto, Takafumi Koyama, Koji Fujita, Yuta Sugiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Carpal tunnel syndrome (CTS) is a common condition characterized by hand dysfunction due to median nerve compression. Orthopedic surgeons often detect signs of the symptoms to screen for CTS; however, it is difficult to distinguish other diseases with symptoms similar to those of CTS. We previously introduced a method of evaluating fine hand movements to screen for cervical myelopathy (CM). The present work applies this method to screen for CTS, using videos of specific hand gestures to measure their quickness. Machine learning models are used to evaluate the gestures to estimate the probability that a patient has CTS. We cross-validated the models to evaluate our method's effectiveness in screening for CTS. The results showed that the sensitivity and specificity were 90.0% and 85.3%, respectively. Furthermore, we found that our method can also be used to distinguish CTS and CM and may enable earlier detection and treatment of similar neurological diseases.

Original languageEnglish
Title of host publicationISS 2022 - Companion Proceedings of the 2022 Conference on Interactive Surfaces and Spaces
EditorsCraig Anslowx, Judy Kay
PublisherAssociation for Computing Machinery, Inc
Pages27-31
Number of pages5
ISBN (Electronic)9781450393560
DOIs
Publication statusPublished - 2022 Nov 20
Event2022 ACM International Conference on Interactive Surfaces and Spaces, ISS 2022 - Wellington, New Zealand
Duration: 2022 Nov 202022 Nov 23

Publication series

NameISS 2022 - Companion Proceedings of the 2022 Conference on Interactive Surfaces and Spaces

Conference

Conference2022 ACM International Conference on Interactive Surfaces and Spaces, ISS 2022
Country/TerritoryNew Zealand
CityWellington
Period22/11/2022/11/23

Keywords

  • gesture classification
  • grip and release test
  • medical application
  • screening method

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Human-Computer Interaction

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