{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T07:16:08Z","timestamp":1777533368341,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T00:00:00Z","timestamp":1673568000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institute for Health and Care Research Exeter Biomedical Research Centre"},{"DOI":"10.13039\/501100006041","name":"Innovate UK","doi-asserted-by":"publisher","award":["79429"],"award-info":[{"award-number":["79429"]}],"id":[{"id":"10.13039\/501100006041","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Rehabil"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross-sectional study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>Laboratory.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>Thirty-one healthy participants and 31 patients with axial spondyloarthropathy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Intervention<\/jats:title>\n                    <jats:p>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 the second performance, a clinician measured the same variables manually.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Main measures<\/jats:title>\n                    <jats:p>Joint angles and inter-limb distances. Clinician measures were compared with computer vision estimates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      For all tests, clinician and computer vision estimates were correlated ( r\n                      <jats:sup>2<\/jats:sup>\n                      values: 0.360\u20130.768). There were no significant mean differences between methods for shoulder flexion (left: 2\u2009\u00b1\u200914\u00b0 (mean\u2009\u00b1\u2009standard deviation), t\u2009=\u20090.99, p &lt; 0.33; right: 3\u2009\u00b1\u200915\u00b0, t\u2009=\u20091.57, p &lt; 0.12), side flexion (left:\u2009\u2212\u20090.5\u2009\u00b1\u20093.1\u2005cm, t\u2009=\u2009\u22121.34, p\u2009=\u20090.19; right: 0.5\u2009\u00b1\u20093.4\u2005cm, t\u2009=\u20091.05, p\u2009=\u20090.30) and lumbar flexion (\u2009\u2212\u20091.1\u2009\u00b1\u20098.2\u2005cm, t\u2009=\u2009\u22121.05, p\u2009=\u20090.30). For all other movements, significant differences were observed, but could be corrected using a systematic offset.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We present a computer vision approach that estimates distances and angles from clinical movements recorded with a phone or webcam. In the future, this approach could be used to monitor functional capacity and support physical therapy management remotely.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02692155221150133","type":"journal-article","created":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T17:40:16Z","timestamp":1673631616000},"page":"1087-1098","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Accuracy of a computer vision system for estimating biomechanical measures of body function in axial spondyloarthropathy patients and healthy subjects"],"prefix":"10.1177","volume":"37","author":[{"given":"Neil J","family":"Cronin","sequence":"first","affiliation":[{"name":"Neuromuscular Research Centre, Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland"},{"name":"School of Sport and Exercise, University of Gloucestershire, Gloucester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8829-2217","authenticated-orcid":false,"given":"Maedeh","family":"Mansoubi","sequence":"additional","affiliation":[{"name":"Intersect@Exeter, Medical School, University of Exeter, Exeter, UK"},{"name":"Biomedical Research Center, Medical School, Faculty of Health and Life sciences, University of Exeter, Exeter, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1422-4625","authenticated-orcid":false,"given":"Erin","family":"Hannink","sequence":"additional","affiliation":[{"name":"Centre for Movement, Occupational and Rehabilitation Science (MOReS), Oxford Brookes University, Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Waller","sequence":"additional","affiliation":[{"name":"Physical Activity, Physical Education, Sport and Health Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik University, Reykjavik, Iceland"},{"name":"Good Boost Wellbeing limited, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helen","family":"Dawes","sequence":"additional","affiliation":[{"name":"Intersect@Exeter, Medical School, University of Exeter, Exeter, UK"},{"name":"Centre for Movement, Occupational and Rehabilitation Science (MOReS), Oxford Brookes University, Oxford, UK"},{"name":"Oxford Health, Biomedical Research Centre, University of Oxford, Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2023,1,13]]},"reference":[{"key":"bibr1-02692155221150133","doi-asserted-by":"publisher","DOI":"10.1080\/09638280802062553"},{"key":"bibr2-02692155221150133","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsx.2020.04.048"},{"key":"bibr3-02692155221150133","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"bibr4-02692155221150133","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"bibr5-02692155221150133","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-019-13993-7","volume":"11","author":"Kidzi\u0144ski \u0141","year":"2020","journal-title":"Nat Commun [Internet]"},{"key":"bibr6-02692155221150133","unstructured":"Zickuhr K, Madden M. 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