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

Technology in Physiotherapy (122) Machine Learning (1400) Innovations in Exercise Rehabilitation (205) Wearable Devices and Sensors (825) Emerging Technologies for Rehabilitation (241) Assistive Technologies (101)

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 Alfakir1, 2 Author Orcid Image ;   Colin Arrowsmith1, 3 Author Orcid Image ;   David Burns1, 3, 4 Author Orcid Image ;   Helen Razmjou1 Author Orcid Image ;   Michael Hardisty1, 4 Author Orcid Image ;   Cari Whyne1, 2, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Abdalrahman Alfakir   1, 2 * , MSc ;   Colin Arrowsmith   1, 3 * , BSc ;   David Burns   1, 3, 4 , MD, PhD ;   Helen Razmjou   1 , PT, PhD ;   Michael Hardisty   1, 4 , PhD ;   Cari Whyne   1, 2, 4 , PhD

1 Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada

2 Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada

3 Halterix Corporation, Toronto, ON, Canada

4 Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada

*these authors contributed equally

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