Accuracy of a computer vision system for estimating biomechanical measures of body function in axial spondyloarthropathy patients and healthy subjects.

ABSTRACT:

Objective

Advances in computer vision make it possible to combine low-cost cameras with algorithms, enabling biomechanical measures of body function and rehabilitation programs to be performed anywhere. We evaluated a computer vision system's accuracy and concurrent validity for estimating clinically relevant biomechanical measures.

Design

Cross-sectional study.

Setting

Laboratory.

Participants

Thirty-one healthy participants and 31 patients with axial spondyloarthropathy.

Intervention

A series of clinical functional tests (including the gold standard Bath Ankylosing Spondylitis Metrology Index tests). Each test was performed twice: the first performance was recorded with a camera, and a computer vision algorithm was used to estimate variables. During th

SUBMITTER: Cronin NJ 

PROVIDER: S-EPMC10291378 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature