Abstract
Physicians currently have no objective information about the intensity and quality of a Stroke patient's daily-life activities after returning home from the rehabilitation hospital. Therefore there is a need to unobtrusively monitor patients performing daily life tasks at home. Within the INTERACTION project, a new inertial based sensor suit was developed, which is able to measure Stroke patients at home. This research extend the INTERACTION project by developing an Arm Usage Coach (AUC), which stimulates the patients affected arm to be used more often at home. The results of a usability evaluation showed high scores in usability, but some design and wear ability problems were found. An open loop evaluation of Stroke patient data showed how different decision criteria parameters, for applying feedback to the patient, resulted in different outcomes of feedback given. Based on both evaluation results, a new prototype is in development, which will be evaluated by Stroke patients in clinic.
Original language | Undefined |
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Title of host publication | 9th International Conference on Sensing Technology (ICST 2015) |
Editors | S. Mukhopadhyay, A. Swain |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE Instrumentation and Measurement Society |
Pages | 514-519 |
Number of pages | 6 |
ISBN (Print) | 2156-8073 |
DOIs | |
Publication status | Published - 8 Dec 2015 |
Event | 9th International Conference on Sensing Technology, ICST 2015 - Auckland, New Zealand Duration: 8 Dec 2015 → 11 Dec 2015 Conference number: 9 |
Publication series
Name | International Conference on Sensing Technology (ICST) |
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Publisher | IEEE Instrumentation and Measurement Society |
ISSN (Print) | 2156-8073 |
Conference
Conference | 9th International Conference on Sensing Technology, ICST 2015 |
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Abbreviated title | ICST |
Country/Territory | New Zealand |
City | Auckland |
Period | 8/12/15 → 11/12/15 |
Keywords
- Vibrotactile feedback
- EWI-27738
- Usability
- IR-103544
- METIS-321718
- EC Grant Agreement nr.: FP7/287351
- Inertial Sensing
- Stroke