학술논문

Automating assessment in video game teletherapy: Data cutting
Document Type
Conference
Source
2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE) Computational Intelligence in Healthcare and e-health (CICARE), 2014 IEEE Symposium on. :9-16 Dec, 2014
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Games
Medical treatment
Data models
Avatars
Servers
Context
Monitoring
rehabilitation
stroke
assessment
data fidelity
Language
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.