Validity and feasibility of remote measurement systems for functional movement and posture assessments in people with axial spondylarthritis. Issue 6 (2nd December 2022)

• Record Type: Journal Article
• Authors: Hannink, Erin; Mansoubi, Maedeh; Cronin, Neil; Wilkins, Benjamin; Najafi, Ali A.; Waller, Benjamin; Dawes, Helen
• Is Part Of: Healthcare technology letters. Volume 9:Issue 6(2022)
• Page Start: 110
• Page End: 118
• Publication Date: 2022-12-02
• Subjects: computer vision -- computerised monitoring -- health care -- patient monitoring -- patient rehabilitation; Biomedical engineering -- Periodicals; Medical technology -- Periodicals; 610.28
• DOI: 10.1049/htl2.12038
• Languages: English
• ISSNs: 2053-3713

Abstract

Abstract: Introduction: This study aimed to estimate the criterion validity of functional movement and posture measurement using remote technology systems in people with and without Axial spondylarthritis (axSpA). Methods: Validity and agreement 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. There were two cohorts of participants: people with axSpA and people without longstanding back pain. In addition, a cost‐consequence analysis was performed. Results: Sixty‐two participants (31 with axSPA, 53% female, age = 45(SD14), BMI = 26.6(SD4.6) completed the study. In the axSpA group, cervical rotation, lumbar flexion, lumbar side flexion, shoulder flexion, hip abduction, tragus‐to‐wall and thoracic kyphosis showed a significant moderate to strong correlation; in the non‐back pain group, the same measures showed significant correlation ranging from weak to strong. Conclusions: Although not valid for clinical use in its current form, the remote technologies demonstrated moderate to strong correlation and agreement in most functional and postural tests measured in people with AxSA. Testing the CV‐aided system in a home environment suggests it is a safe and feasible method. Yet, validity testing in this environment still needs to be performed. Abstract : This article introduced and evaluated the validity of a new artificial intelligence‐driven method of automatically analysing a range of standard clinical functional tests. 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. In addition to demonstrating validity in most functional and postural measures, feasibility results show that using this computer vision‐aided system in a home environment is a safe and viable method that can widen accessibility and affordability.