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多功能上肢假肢的研究进展
引用本文:张良清,苏沂峰,杨万章,李光林.多功能上肢假肢的研究进展[J].国际生物医学工程杂志,2013(5):311-316.
作者姓名:张良清  苏沂峰  杨万章  李光林
作者单位:[1]中国科学院深圳先进技术研究院神经工程研究中心,深圳518055 [2]山东省临沂市科学技术合作与应用研究院,276000 [3]深圳市南山医院康复医学科,518052
基金项目:深圳市政府基础研究计划项目(JC21005270295A)
摘    要:随着现代工程技术与医学技术的不断改进和创新,多功能假肢的研究越来越受到重视,在现代运动康复医学中占有重要的地位。假肢的仿生控制,尤其是如何采用使用者自身的信号,灵活有效地控制上肢假肢,一直是假肢技术研究的热点问题之一,而运用此方法选取合适的控制信号源尤为重要。目前有多种关于多功能假肢的仿生控制信号的研究,从肌电信号控制、脑电信号控制、语音信号控制以及周围神经信号控制4个方面论述多功能上肢假肢的研究现状和进展。

关 键 词:上肢假肢  肌电控制  脑电控制  语音控制  周围神经信号控制

Research progress of multifunctional upper-limb prosthesis systems
ZHANG Liang-qing,SU Yi-feng,YANG Wan-zhang,LI Guang-lin.Research progress of multifunctional upper-limb prosthesis systems[J].International Journal of Biomedical Engineering,2013(5):311-316.
Authors:ZHANG Liang-qing  SU Yi-feng  YANG Wan-zhang  LI Guang-lin
Institution:. *Neural Engineering Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055; Department of Rehabilitation Medicine, Shenzhen Nanshan Hospital, Shenzhen 518052, China
Abstract:With the continuous improvement and innovation of modern engineering technology and biomedical technology, many efforts and process have been made on muItifunctional prosthesis systems and have gained more and more attentions. The muhifunctional powered prosthesis has become one of the research areas in the current muscular rehabilitation medicine and neural engineering. The bionic control of prosthesis, especially using the neural signal to control the upper prosthesis effectively, is one of the most important fields of prosthesis technology. Choosing the proper neural signals seems to be particularly important for bionic prosthetic control strategy. Currently, several different signal controls such as EMG control, EEG control, voice signal control and peripheral nerve signal control have been proposed and investigated for the bionic control of multi-function prosthesis. This paper reviews the latest efforts and progress of multifunctional upper prosthesis.
Keywords:Upper-limb prostheses  EMG control  EEG control  Voice signal control  Peripheralnerve signal control
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