This paper is in the following e-collection/theme issue:

Computational modeling of biological processes (13) Registered Report (766) New Methods (1113) Wearable Devices and Sensors (1106)

Published on in Vol 7, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41327, first published .
High-Dimensional Analysis of Finger Motion and Screening of Cervical Myelopathy With a Noncontact Sensor: Diagnostic Case-Control Study

High-Dimensional Analysis of Finger Motion and Screening of Cervical Myelopathy With a Noncontact Sensor: Diagnostic Case-Control Study

High-Dimensional Analysis of Finger Motion and Screening of Cervical Myelopathy With a Noncontact Sensor: Diagnostic Case-Control Study

Authors of this article:

Takafumi Koyama1 Author Orcid Image ;   Ryota Matsui2 Author Orcid Image ;   Akiko Yamamoto1 Author Orcid Image ;   Eriku Yamada1 Author Orcid Image ;   Mio Norose1 Author Orcid Image ;   Takuya Ibara3 Author Orcid Image ;   Hidetoshi Kaburagi1 Author Orcid Image ;   Akimoto Nimura3 Author Orcid Image ;   Yuta Sugiura2 Author Orcid Image ;   Hideo Saito2 Author Orcid Image ;   Atsushi Okawa1 Author Orcid Image ;   Koji Fujita3 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Li X, Fei N, Wan K, Pui Yin Cheung J, Hu Y. A deep learning-based hand motion classification for hand dysfunction assessment in cervical spondylotic myelopathy. Biomedical Signal Processing and Control 2025;99:106884 View
  2. Inzerillo S, Jagtiani P, Jones S. Optimising early detection of degenerative cervical myelopathy: a systematic review of quantitative screening tools for primary care. BMJ Neurology Open 2025;7(1):e000913 View
  3. VATTIPALLY V, JILLALA R, AUDE C, MENTA A, JO J, HUGHES L, KHALIFEH J, AZAD T. Artificial intelligence and machine learning in the management of patients with degenerative cervical myelopathy: a systematic review. Journal of Neurosurgical Sciences 2025;69(5) View