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21 March 2006 Study on an advanced early rehabilitation training system for postural control using a tilting bed
Chang-Ho Yu, Kyong Kim, Tae-Kyu Kwon, Chul-Un Hong, Nam-Gyun Kim
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Proceedings Volume 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials; 604028 (2006) https://doi.org/10.1117/12.664255
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
It proposed a new early rehabilitation training system for postural control using a tilting bed, a visual display and a force plate. The conventional rehabilitation systems for postural control can't be applied to the patients lying in bed because the rehabilitation training using those systems is only possible when the patient can stand up by himself or herself. Moreover, there did not exist any device that could provide the sense of balance or the sensation of walking to the patients in bed. The software for the system consists of the training program and the analysis program. The training program was designed to improve the ability of postural control of the subjects by repeated training of moving the center of pressure (COP) applied to the forceplate. The training program consists of the COP maintaining training and the COP movement training in horizontal, vertical, 45° and -45° directions. The analysis program consists of the COP moving time analysis modules, the COP maintaining time analysis module. Through the experiments with real people, it verified the effectiveness of the new early rehabilitation training system. The results showe that this system is an effective system for early rehabilitation training and that our system might be useful as clinical equipment.
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Chang-Ho Yu, Kyong Kim, Tae-Kyu Kwon, Chul-Un Hong, and Nam-Gyun Kim "Study on an advanced early rehabilitation training system for postural control using a tilting bed", Proc. SPIE 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials, 604028 (21 March 2006); https://doi.org/10.1117/12.664255
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KEYWORDS
Control systems
Visualization
Sensors
Gait analysis
Computing systems
Electromyography
Brain
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