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

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
  4. Wang X. High-dimensional continuous action space control via trust region optimized deep reinforcement learning. Scientific Reports 2025 View

Conference Proceedings

  1. Watanabe T, Miyamoto R, Fujita K, Sugiura Y. Proceedings of the 24th International Conference on Mobile and Ubiquitous Multimedia. A Stroke of Insight: Accessible Screening for Cervical Myelopathy via Tablet and Paper Drawings View