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A structured light solution for detecting scapular dyskinesis
Scapular dyskinesis is a common occurrence in overhead athletes, i.e. athletes who participate in any sport where the upper arm and shoulder is used above the athlete’s head. However, no consensus has been reached on how to evaluate scapular dyskinesis quantitatively. In this thesis, we developed a...
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| Format: | Thesis |
| Language: | English |
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Department of Human Biology
2019
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| _version_ | 1867613279019335680 |
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| access_status_str | Open Access |
| author | Verster, Jaco |
| author2 | Gray, Janine |
| author_browse | Gray, Janine Verster, Jaco |
| author_facet | Gray, Janine Verster, Jaco |
| author_sort | Verster, Jaco |
| collection | Thesis |
| description | Scapular dyskinesis is a common occurrence in overhead athletes, i.e. athletes who participate in any sport where the upper arm and shoulder is used above the athlete’s head. However, no consensus has been reached on how to evaluate scapular dyskinesis quantitatively. In this thesis, we developed a measuring tool that can be used to evaluate certain key clinical parameters specific to scapular dyskinesis. The tool employs a 3D structured light computer vision approach to create a surface map of the soft-tissue across the scapula. This surface map is then analysed using surface curvature analysis techniques to identify the key clinical parameters associated with scapular dyskinesis. The main advantage of this method is that it provides a measurement tool that may facilitate future quantitative analysis of these key parameters. This may aid with diagnosis and monitoring of the condition by allowing measurement data to be collected both before and after treatment and rehabilitation. We expect that this tool will make the monitoring of treatment effectiveness easier while contributing to diagnostic computer vision. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/29297 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:35.758Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Department of Human Biology |
| publisherStr | Department of Human Biology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/29297 A structured light solution for detecting scapular dyskinesis Verster, Jaco Gray, Janine Sivarasu, Sudesh Mutsvangwa, Tinashe Biomedical Engineering Scapular dyskinesis is a common occurrence in overhead athletes, i.e. athletes who participate in any sport where the upper arm and shoulder is used above the athlete’s head. However, no consensus has been reached on how to evaluate scapular dyskinesis quantitatively. In this thesis, we developed a measuring tool that can be used to evaluate certain key clinical parameters specific to scapular dyskinesis. The tool employs a 3D structured light computer vision approach to create a surface map of the soft-tissue across the scapula. This surface map is then analysed using surface curvature analysis techniques to identify the key clinical parameters associated with scapular dyskinesis. The main advantage of this method is that it provides a measurement tool that may facilitate future quantitative analysis of these key parameters. This may aid with diagnosis and monitoring of the condition by allowing measurement data to be collected both before and after treatment and rehabilitation. We expect that this tool will make the monitoring of treatment effectiveness easier while contributing to diagnostic computer vision. 2019-02-05T07:02:46Z 2019-02-05T07:02:46Z 2018 2019-01-31T10:28:26Z Master Thesis Masters MSc http://hdl.handle.net/11427/29297 eng application/pdf Department of Human Biology Faculty of Health Sciences University of Cape Town |
| spellingShingle | Biomedical Engineering Verster, Jaco A structured light solution for detecting scapular dyskinesis |
| thesis_degree_str | Master's |
| title | A structured light solution for detecting scapular dyskinesis |
| title_full | A structured light solution for detecting scapular dyskinesis |
| title_fullStr | A structured light solution for detecting scapular dyskinesis |
| title_full_unstemmed | A structured light solution for detecting scapular dyskinesis |
| title_short | A structured light solution for detecting scapular dyskinesis |
| title_sort | structured light solution for detecting scapular dyskinesis |
| topic | Biomedical Engineering |
| url | http://hdl.handle.net/11427/29297 |
| work_keys_str_mv | AT versterjaco astructuredlightsolutionfordetectingscapulardyskinesis AT versterjaco structuredlightsolutionfordetectingscapulardyskinesis |