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

Wearable Devices and Sensors (1024) Innovations in Exercise Rehabilitation (251) Technology in Physiotherapy (160)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17872, first published .
A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study

A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study

A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study

Authors of this article:

Riasat Islam1 Author Orcid Image ;   Mohamed Bennasar1 Author Orcid Image ;   Kevin Nicholas2, 3, 4 Author Orcid Image ;   Kate Button2, 3, 4 Author Orcid Image ;   Simon Holland1 Author Orcid Image ;   Paul Mulholland5 Author Orcid Image ;   Blaine Price1 Author Orcid Image ;   Mohammad Al-Amri2, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (10) Metrics

Journals

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  2. Kong L, Wang W, Zhu X, Zhang W, Li Q, Wang X, Wang L. Effect of frailty on kinematic characteristics of walking in community-dwelling elders. Zeitschrift für Gerontologie und Geriatrie 2022;55(8):689 View
  3. Cudejko T, Button K, Al-Amri M. Validity and reliability of accelerations and orientations measured using wearable sensors during functional activities. Scientific Reports 2022;12(1) View
  4. Heuvelmans P, Benjaminse A, Bolt R, Baumeister J, Otten E, Gokeler A. Concurrent validation of the Noraxon MyoMotion wearable inertial sensors in change-of-direction and jump-landing tasks. Sports Biomechanics 2025;24(2):184 View
  5. Tan T, Gatti A, Fan B, Shea K, Sherman S, Uhlrich S, Hicks J, Delp S, Shull P, Chaudhari A. A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation. npj Digital Medicine 2023;6(1) View
  6. Zhang Q, Khan S, Khan S, Khan I. Assessing the older population acceptance of healthcare wearable in a developing Country: an extended PMT model. Journal of Data, Information and Management 2023;5(1-2):39 View
  7. Yamamoto R, Yoshizato Y, Imai T, Akizuki K. Effect of the post-learning period on the accuracy and self-efficacy of measuring the joint range of motion. Journal of Physical Therapy Science 2023;35(10):708 View
  8. Islam R, Bennasar M, Al-Amri M, Holland S, Mulholland P, Price B. Democratizing Clinical Movement Analysis: Assessing the Versatility of MoJoXlab with Open-protocol Inertial Sensors. Procedia Computer Science 2024;246:2360 View
  9. Yamamoto R, Imai T, Yoshizato Y, Akizuki K. Effects of self-controlled feedback on learning range of motion measurement techniques and self-efficacy among physical therapy students: a preliminary study. BMC Medical Education 2025;25(1) View