Optimal accelerometer placement for fall detection of rehabilitation patients
The development of health monitoring system using wearable sensor has lots of potential in the field of rehabilitation and gained lots of attention in the scientific community and industry. The aim and motivation in this field are to focus on the application of wearable technology to monitor elderly...
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| Format: | Article |
| Language: | en |
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Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
2018
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| Online Access: | http://eprints.uthm.edu.my/2875/1/AJ%202019%20%2852%29.pdf http://eprints.uthm.edu.my/2875/ https://jtec.utem.edu.my/jtec/article/view/4344 |
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| _version_ | 1833417188626661376 |
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| author | Suriani, Nor Surayahani Nor Rashid, Fadilla ‘Atyka Yunos, Nur Yuzailin |
| author_facet | Suriani, Nor Surayahani Nor Rashid, Fadilla ‘Atyka Yunos, Nur Yuzailin |
| author_sort | Suriani, Nor Surayahani |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The development of health monitoring system using wearable sensor has lots of potential in the field of rehabilitation and gained lots of attention in the scientific community and industry. The aim and motivation in this field are to focus on the application of wearable technology to monitor elderly or rehab patients in home-based settings to reduce resources and development cost. The wearable sensor such as accelerometer used to emphasise the clinical applications of fall detection during rehabilitation treatment. This paper is intended to determine the optimal sensor placement especially for lower limb activity during rehabilitation exercise. Accelerometer data were collected from three different body locations (hip, thigh, and foot). The lower limb activities involve normal movements such as walking, lifting, sit-to-stand, and stairs. Other unexpected activity such as falls might occur during normal lower limb exercise movement. Then, acceleration data for various lower limbs activities was classified using k-NN and SVM classifier. The result found that the hip was the best location to record data for lower limb activities including when fall occurs. |
| format | Article |
| id | my.uthm.eprints-2875 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2018 |
| publisher | Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) |
| record_format | eprints |
| spelling | my.uthm.eprints-28752021-11-16T03:47:17Z http://eprints.uthm.edu.my/2875/ Optimal accelerometer placement for fall detection of rehabilitation patients Suriani, Nor Surayahani Nor Rashid, Fadilla ‘Atyka Yunos, Nur Yuzailin RC Internal medicine TA164 Bioengineering The development of health monitoring system using wearable sensor has lots of potential in the field of rehabilitation and gained lots of attention in the scientific community and industry. The aim and motivation in this field are to focus on the application of wearable technology to monitor elderly or rehab patients in home-based settings to reduce resources and development cost. The wearable sensor such as accelerometer used to emphasise the clinical applications of fall detection during rehabilitation treatment. This paper is intended to determine the optimal sensor placement especially for lower limb activity during rehabilitation exercise. Accelerometer data were collected from three different body locations (hip, thigh, and foot). The lower limb activities involve normal movements such as walking, lifting, sit-to-stand, and stairs. Other unexpected activity such as falls might occur during normal lower limb exercise movement. Then, acceleration data for various lower limbs activities was classified using k-NN and SVM classifier. The result found that the hip was the best location to record data for lower limb activities including when fall occurs. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/2875/1/AJ%202019%20%2852%29.pdf Suriani, Nor Surayahani and Nor Rashid, Fadilla ‘Atyka and Yunos, Nur Yuzailin (2018) Optimal accelerometer placement for fall detection of rehabilitation patients. Journal of Telecommunication, Electronic and Computer Engineering, 10 (2-5). pp. 25-29. ISSN 2289-8131 https://jtec.utem.edu.my/jtec/article/view/4344 |
| spellingShingle | RC Internal medicine TA164 Bioengineering Suriani, Nor Surayahani Nor Rashid, Fadilla ‘Atyka Yunos, Nur Yuzailin Optimal accelerometer placement for fall detection of rehabilitation patients |
| title | Optimal accelerometer placement for fall detection of rehabilitation patients |
| title_full | Optimal accelerometer placement for fall detection of rehabilitation patients |
| title_fullStr | Optimal accelerometer placement for fall detection of rehabilitation patients |
| title_full_unstemmed | Optimal accelerometer placement for fall detection of rehabilitation patients |
| title_short | Optimal accelerometer placement for fall detection of rehabilitation patients |
| title_sort | optimal accelerometer placement for fall detection of rehabilitation patients |
| topic | RC Internal medicine TA164 Bioengineering |
| url | http://eprints.uthm.edu.my/2875/1/AJ%202019%20%2852%29.pdf http://eprints.uthm.edu.my/2875/ https://jtec.utem.edu.my/jtec/article/view/4344 |
| url_provider | http://eprints.uthm.edu.my/ |