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

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
  2. Ratnaparkhi A, Beckett J. Digital Phenotyping, Wearables, and Outcomes. Neurosurgery Clinics of North America 2024;35(2):235 View
  3. Phan V, Song K, Silva R, Silbernagel K, Baxter J, Halilaj E. Seven Things to Know About Exercise Classification With Inertial Sensing Wearables. IEEE Journal of Biomedical and Health Informatics 2024;28(6):3411 View
  4. Reis F, Carvalho M, Neves G, Nogueira L, Meziat-Filho N. Machine learning methods in physical therapy: A scoping review of applications in clinical context. Musculoskeletal Science and Practice 2024;74:103184 View
  5. Procházka A, Martynek D, Vitujová M, Janáková D, Charvátová H, Vyšata O. Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment. Sensors 2024;24(22):7330 View