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.
|Publication status||Published - 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||2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)|
|Abbreviated title||2019 IEEE EMBS|
|Period||19/05/19 → 22/05/19|
- Unobtrusive sensing
Ekerete, I., Giggins, O., Cleland, I., Nugent, CD., & McLaughlin, J. (2019). Unobtrusive Monitoring of Home-Based Post-Stroke Rehabilitation Exercises Using Heterogeneous Sensors.. Abstract from 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Chicago, United States.