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

Development and Evaluation of Research Methods, Instruments and Tools (744) Tools, Programs and Algorithms (376) Machine Learning (2076) Emerging Technologies for Rehabilitation (348) Technology in Physiotherapy (190) Applications of AI (287)

Published on in Vol 9 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69150, first published .
Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study

Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study

Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study

Authors of this article:

Clement Twumasi1 Author Orcid Image ;   Mikail Aktas2 Author Orcid Image ;   Nicholas Santoni3 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics Author Video

Books/Policy Documents

  1. PANDA S, BALI S. AI‐driven Innovations in Physiotherapy and Oncology 2. View