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

Technology in Physiotherapy (97) Machine Learning (1004) Innovations in Exercise Rehabilitation (176) Wearable Devices and Sensors (657) Emerging Technologies for Rehabilitation (167) Assistive Technologies (72)

Published on in Vol 9 , No 3 (2022) :Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38689, first published .
Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation

Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation

Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation

Authors of this article:

Abdalrahman Alfakir 1, 2 Author Orcid Image ;   Colin Arrowsmith 2, 3 Author Orcid Image ;   David Burns 2, 3, 4 Author Orcid Image ;   Helen Razmjou 2 Author Orcid Image ;   Michael Hardisty 2, 4 Author Orcid Image ;   Cari Whyne 1, 2, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Arrowsmith C, Burns D, Mak T, Hardisty M, Whyne C. Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning. Sensors 2022;23(1):363 View