Abstract
Autonomous at-home rehabilitation through exergames requires clinicians to be able to quickly and reliably review patients' progress and eventually tune exercise parameters for the next scheduled session. We show here how a cloud-based platform featuring a flexible database, parametrized exer-games and a hierarchical description of the rehabilitation data allows to achieve this goal. In particular, a clear identification of different exercises macro-parameters is fundamental to effectively display a clear and meaningful view on the patient's status to the clinicians. Such parameters must be well matched to the mechanics of the exer-games and provide to the therapist a clear summary of patient's rehabilitation progress.
Original language | English |
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Title of host publication | 2018 IEEE 6th International Conference on Serious Games and Applications for Health, SeGAH 2018 |
Editors | Joao L. Vilaca, Duarte Duque, Nuno Rodrigues, Nuno Dias, Thomas Grechenig |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781538662984 |
DOIs | |
Publication status | Published - Jun 29 2018 |
Event | 6th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2018 - Vienna, Austria Duration: May 16 2018 → May 18 2018 |
Conference
Conference | 6th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2018 |
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Country/Territory | Austria |
City | Vienna |
Period | 5/16/18 → 5/18/18 |
Keywords
- autonomous rehabilitation
- exer-games
- remote assessment
ASJC Scopus subject areas
- Health(social science)
- Computer Science Applications
- Human-Computer Interaction