Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis
People with knee osteoarthritis have difficulty with functional activities, such as walking or get into/out of a chair. This thesis explored the clinical relevance of biomechanics and how wearable sensor technology may be used to assess how people move when their clinician is unable to directly obse...
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| Format: | Thesis |
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Curtin University
2022
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| Online Access: | http://hdl.handle.net/20.500.11937/91981 |
| _version_ | 1848765611906170880 |
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| author | Tan, Jay-Shian |
| author_facet | Tan, Jay-Shian |
| author_sort | Tan, Jay-Shian |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | People with knee osteoarthritis have difficulty with functional activities, such as walking or get into/out of a chair. This thesis explored the clinical relevance of biomechanics and how wearable sensor technology may be used to assess how people move when their clinician is unable to directly observe them, such as at home or work. The findings of this thesis suggest that artificial intelligence can be used to process data from sensors to provide clinically important information about how people perform troublesome activities. |
| first_indexed | 2025-11-14T11:38:01Z |
| format | Thesis |
| id | curtin-20.500.11937-91981 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:38:01Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-919812023-05-09T04:53:24Z Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis Tan, Jay-Shian People with knee osteoarthritis have difficulty with functional activities, such as walking or get into/out of a chair. This thesis explored the clinical relevance of biomechanics and how wearable sensor technology may be used to assess how people move when their clinician is unable to directly observe them, such as at home or work. The findings of this thesis suggest that artificial intelligence can be used to process data from sensors to provide clinically important information about how people perform troublesome activities. 2022 Thesis http://hdl.handle.net/20.500.11937/91981 Curtin University fulltext |
| spellingShingle | Tan, Jay-Shian Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis |
| title | Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis |
| title_full | Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis |
| title_fullStr | Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis |
| title_full_unstemmed | Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis |
| title_short | Exploring the Application of Wearable Movement Sensors in People with Knee Osteoarthritis |
| title_sort | exploring the application of wearable movement sensors in people with knee osteoarthritis |
| url | http://hdl.handle.net/20.500.11937/91981 |