DocumentCode :
1795848
Title :
Automating assessment in video game teletherapy: Data cutting
Author :
Scott, M. ; Blewitt, W. ; Ushaw, G. ; Shi, J.Q. ; Morgan, G. ; Eyre, J.
Author_Institution :
Sch. of Comput. Sci., Newcastle Univ., Newcastle upon Tyne, UK
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
9
Lastpage :
16
Abstract :
In this paper we describe how a video game designed to deliver a rehabilitation therapy can produce data of a standard that is clinically useful. Our approach is based entirely on commodity video game hardware, making our solution one that may be delivered in a cost efficient manner. The step of ensuring data fidelity was crucial in allowing clinical assessment to be derived from standard video game technology without therapist intervention. We achieved this by cutting the data to provide our statistical model with only the information that accurately represented patient activities that contribute to clinical assessment.
Keywords :
computer games; patient rehabilitation; patient treatment; statistical analysis; telemedicine; automating assessment; clinical assessment; commodity video game hardware; data cutting; data fidelity; patient activity; rehabilitation therapy; standard video game technology; statistical model; therapist intervention; video game teletherapy; Avatars; Context; Data models; Games; Medical treatment; Monitoring; Servers; assessment; data fidelity; rehabilitation; stroke;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Healthcare and e-health (CICARE), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/CICARE.2014.7007828
Filename :
7007828
Link To Document :
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