Abstract
This paper proposes the use of unobtrusive sensing solutions to facilitate post-stroke rehabilitation exercises in home-based settings. Radar and thermal sensors are used to collect real-time data from a human subject as they perform rehabilitation exercises. The data collected is then compared with a gold standard exercise, which has been clinically prescribed, to allow feedback to be provided on how the exercises have been completed. The first iteration of the technical platform is presented and plans for its further development are outlined.
Original language | English |
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Title of host publication | 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
Editors | Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang |
Pages | 1478-1479 |
Number of pages | 2 |
ISBN (Electronic) | 978-1-5386-5488-0 |
DOIs | |
Publication status | Published (in print/issue) - 24 Jan 2019 |
Event | 2018 IEEE International Conference on Bioinformatics and Biomedicine - Madrid, Spain Duration: 3 Dec 2018 → 6 Dec 2018 http://orienta.ugr.es/bibm2018/ |
Conference
Conference | 2018 IEEE International Conference on Bioinformatics and Biomedicine |
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Abbreviated title | BIBM2018 |
Country/Territory | Spain |
City | Madrid |
Period | 3/12/18 → 6/12/18 |
Internet address |
Keywords
- Post-stroke
- Rehabilitation
- Unobtrusive sensing