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

1 Institute of Biomedical Engineering , University of Toronto , Toronto , ON , CA

2 Holland Bone and Joint Program , Sunnybrook Research Institute , Toronto , ON , CA

3 Halterix Corporation , Toronto , ON , CA

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

*these authors contributed equally

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