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System And Method For Post-Stroke Rehabilitation And Recovery Using Adaptive Surface Electromyographic Sensing And Visualization
专利权人:
University of Rochester
发明人:
Ania Celine Busza,Edgar Andrés Bernal,Kevin Andrew Mazurek,Shuyang Liu
申请号:
US16846637
公开号:
US20200323460A1
申请日:
2020.04.13
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A system and method for rehabilitation and recovery using adaptive surface electromyographic sensing and visualization is disclosed. The system uses surface electromyography (sEMG) sensors to identify signals of intent from patients with physical disabilities and then uses these signals to interact with a computer system designed to create repetitive practice In a manner that promotes neurological recovery. A machine teaming module analyses body signals picked up during patient movement attempts and converts these body signals to a visual representation of the intended movement by way of a virtual body or virtual body part displayed on a computer display, display glasses, or the like. The system thus allows for very early patient therapy, providing early benefits to rehabilitation therapy not heretofore possible. The virtual reality or augmented reality environment provides a patient with very early visual reinforcement of beneficial muscle activation patterns.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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