University of Twente Student Theses
Data Assessment Methods for Monitoring in Seamless At-Home Hand Rehabilitation
Kotliarova, Ksenija (2025) Data Assessment Methods for Monitoring in Seamless At-Home Hand Rehabilitation.
|
PDF
848kB |
| Abstract: | To be able to perform everyday tasks, a continuous hand rehabilitation process is required for patients with hand impairment after facing a condition such as a stroke. Concerning this matter, the smart Frehabilitation toolkit was developed by a team of the University of Twente (UT) researchers. The toolkit consists of a smart toothbrush, a coffee cup, a computer mouse, and a placemat, and allows for seamless integration of the hand therapy into patients' everyday activities. In this research, I propose to mainly focus on developing algorithms for smart toothbrush data processing. Based on this development, I aim to pave the way for utilizing the algorithm across the majority of devices within the Freehabilitation toolkit, considering the similarity of their sensor systems. I target to assess such factors as the increment in daily training duration, adherence to the daily routine, consistency, and frequency of daily sessions. This would enable further analysis of the patient's usage of the Freehabilitation toolkit. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/105161 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page