Abstract
This paper proposes the use of heterogeneous sensors to unobtrusively monitor post-stroke rehabilitation exercises in a home environment. Rehabilitation exercises at home help post-stroke sufferers to avoid long queues at health facilities and transportation problems associated with visiting these facilities. Experimental results demonstrated the ability to capture postures from a Heimann HTPA 32x32 thermal sensor, and speed and range during hand-stretching and gait-retraining exercises from a D2G Doppler radar sensor. Plans for future work are also outlined.
| Original language | English |
|---|---|
| Publication status | Published (in print/issue) - May 2019 |
| Event | 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) - University of Chicago, Illinois, Chicago, United States Duration: 19 May 2019 → 22 May 2019 |
Conference
| Conference | 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) |
|---|---|
| Abbreviated title | 2019 IEEE EMBS |
| Country/Territory | United States |
| City | Chicago |
| Period | 19/05/19 → 22/05/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Unobtrusive sensing
- Monitoring
- Rehabilitation
- Heterogeneous
- Home-based
- Exercises
- Thermal
- Sens*
Fingerprint
Dive into the research topics of 'Unobtrusive Monitoring of Home-Based Post-Stroke Rehabilitation Exercises Using Heterogeneous Sensors.'. Together they form a unique fingerprint.Student theses
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Unobtrusive sensing solutions for home-based monitoring
Ekerete, I. (Author), Nugent, C. (Supervisor), Mc Laughlin, J. (Supervisor) & Mc Clean, S. (Supervisor), Dec 2021Student thesis: Doctoral Thesis
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