loading page

Validity and Feasibility of Remote Measurement Systems for Functional Movement and Posture Assessments in People with Axial Spondylarthritis
  • +4
  • Erin Hannink ,
  • Maedeh Mansoubi,
  • Neil Cronin,
  • Ben Wilkins ,
  • Ali Najafi ,
  • Ben Waller ,
  • Helen Dawes
Erin Hannink
Oxford University Hospitals NHS Foundation Trust

Corresponding Author:erin.hannink@ouh.nhs.uk

Author Profile
Maedeh Mansoubi
University of Exeter
Author Profile
Neil Cronin
University of Jyvaskyla
Author Profile
Ben Wilkins
Good Boost LTD
Author Profile
Ali Najafi
Oxford Brookes University
Author Profile
Ben Waller
Reykjavik University
Author Profile
Helen Dawes
University of Exeter
Author Profile


Introduction Axial spondylarthritis (axSpA) is a chronic inflammatory disease and commonly results in pain and joint stiffness. Using remote technology, such as a computer vision-aided system, has the potential to monitor functional movement and posture. Methods The validity of the remote technology measurement of functional movement and posture were tested cross-sectionally and compared to a standard clinical measurement by a physiotherapist. The feasibility of remote implementation was tested in a home environment. In addition, a cost-benefit analysis was conducted. Results Thirty-one participants with axSpA (42% female, 54(SD 13) years old and 27.4(SD 5.3) kg/m2) and 31 participants without back pain (65% female, 36(SD 10) years old and 25.9(3.7) kg/m2). In the axSpA group, the validity of assessment on cervical rotation, lumbar flexion, lumbar side flexion, shoulder flexion, hip abduction, tragus-to-wall and thoracic kyphosis showed significant moderate to strong correlation; in the non-back pain group, the same measures showed significant correlation ranging from weak to strong. Conclusions Remote technology systems in rehabilitation have the potential to reduce health inequality and improve cost and time effectiveness for both patients and the health system. Additionally, results show that using this Computer Vision-aided system in a home environment is a safe method.
16 Jun 2022Submitted to Healthcare Technology Letters
18 Jun 2022Submission Checks Completed
18 Jun 2022Assigned to Editor
09 Jul 2022Reviewer(s) Assigned
13 Sep 2022Review(s) Completed, Editorial Evaluation Pending
14 Sep 2022Editorial Decision: Revise Major
10 Oct 20221st Revision Received
11 Oct 2022Assigned to Editor
11 Oct 2022Submission Checks Completed
13 Oct 2022Reviewer(s) Assigned
26 Oct 2022Review(s) Completed, Editorial Evaluation Pending
10 Nov 2022Editorial Decision: Revise Minor
18 Nov 20222nd Revision Received
19 Nov 2022Assigned to Editor
19 Nov 2022Submission Checks Completed
21 Nov 2022Review(s) Completed, Editorial Evaluation Pending
21 Nov 2022Editorial Decision: Accept
Dec 2022Published in Healthcare Technology Letters volume 9 issue 6 on pages 110-118. 10.1049/htl2.12038