Collaborative virtual rehabilitation system with home treatment integration
DOI: 10.1145/2077546.2077562 Conference: Proceedings of Wireless Health 2011, WH 2011, San Diego/La Jolla, CA, USA, October 10-13, 2011
Patient adherence to home exercise regimens, critical in achieving ideal treatment outcomes for physical therapy, is typically poor. Further, therapists lack quantitative data to review a patient's performance. In this work, we propose a virtual rehabilitation system for home exercise with continuous monitoring and quantitative performance measurements packaged with a fun and engaging interface. The solution is a complete feedback loop where the physical therapist and patient make shared decisions about appropriate regimens, patients use a sensor-enabled gaming interface at home to perform exercises, quantitative data is fed back to the therapist, and the therapist is able to properly adjust the regimen and give reinforcing feedback and social support. The system aims to address the multi-factorial nature of poor adherence and to apply appropriate behavior change models and persuasive feedback mechanisms. In addition, it will capture critical objective data that will help to guide therapy practices on both the individual and community level.
Available from: Mar Gonzalez-Franco
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ABSTRACT: In this paper we address the problem of patient adherence to physical therapy using a sensor-enabled virtual reality gaming interface that motivates users to complete their exercises while collecting quantitative data. The system also allows the therapist to monitor and interact with patients remotely providing reinforcing feedback and support with the CollaboRhythm care delivery platform. The data collected with this system enables the therapist and the patient to make informed decisions about patient treatment and exercise regimens based on the patient progress. The system is capable of supporting a wide array of rehabilitation scenarios with remote collaboration. A knee replacement scenario was tested with an experimental protocol involving 16 healthy participants. The results show both quantitatively and qualitatively that patients can learn intuitively to perform their physical therapy exercises on a remote environment without further human intervention.
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