Motion-Sensing Based Management System for Smart Context-Awareness Rehabilitation Healthcare

Autor: Tung-Hung Lu, Hsing-Chen Lin, Rong-Rong Chen, Ya-Ling Chen
Rok vydání: 2013
Předmět:
Zdroj: Advances in Internet of Things. :1-7
ISSN: 2161-6825
2161-6817
Popis: In this paper, a motion-sensing based management system for smart context-awareness rehabilitation healthcare including various balance exercise is built by the integration of the physiological sensing and feedback coaching. The home-end system can not only provide the exercise coaching instruction, the balance stability analysis, and the motion similarity analysis in real-time, but also simultaneously transmit the user image, exercise skeleton streaming, center of pressure (COP), center of gravity (COG) and physiological information to the telecare-end center. According to the combination of the home-end and the telecare-end as well as the real-time care management of one-to-multiple personal balance exercise monitor, this system can provide user various personalized balance exercise prescription and cardiac rehabilitation coaching in an effectiveness rehabilitation exercise environment. Therefore, via this tele-system, the spinocerebellar ataxia (SCA) patients in balance rehabilitation stage not only can be monitored execution status of the rehabilitation exercise prescription, but also can be long-term monitored and evaluated the predicted goal of the rehabilitation exercise balance stability in order to improve patient’s compliance.
Databáze: OpenAIRE