首页 | 本学科首页   官方微博 | 高级检索  
检索        

具有路况识别功能的智能膝上假肢的研究
引用本文:金德闻,张瑞红,王人成,张济川.具有路况识别功能的智能膝上假肢的研究[J].中国康复理论与实践,2004,10(5):261-263.
作者姓名:金德闻  张瑞红  王人成  张济川
作者单位:100084,北京市,清华大学康复工程研究中心
基金项目:国家自然科学基金 (No.30 1 70 2 4 2 ),国家“863”计划资助项目 (2 0 0 1AA32 0 60 1 )
摘    要:目的研究智能假肢具有对不同路况适应性的必要性和实现这种功能的关键技术。方法通过人体在不同路况下步行时的步态分析实验数据和所建立的下肢运动的动力学模型 ,得到膝关节力矩函数 ,在自行研制的智能膝上假肢系统中进行实验验证。提出根据大腿肌电信号特征进行路况辨识的智能假肢方法 ,并对上、下坡时部分肌肉肌电信号进行检测。结果在不同路况下 ,膝关节力矩有较大变化 ;上、下坡时部分肌肉肌电信号有明显不同。结论根据肌电信号特征进行路况辨识是可行的 ,所研究的智能假肢系统能实现对小腿运动规律和踝关节运动轨迹的控制 ,达到比较理想的结果。

关 键 词:康复工程  膝上假肢  智能控制  肌电信号
文章编号:1006-9771(2004)05-0261-03
修稿时间:2003年9月16日

Study on intelligent trans-femoral prosthesis with terrain identification
JIN De-wen,ZHANG Rui-hong,WANG Ren-cheng,et al..Study on intelligent trans-femoral prosthesis with terrain identification[J].Chinese Journal of Rehabilitation Theory and Practice,2004,10(5):261-263.
Authors:JIN De-wen  ZHANG Rui-hong  WANG Ren-cheng  
Institution:JIN De-wen,ZHANG Rui-hong,WANG Ren-cheng,et al.Department of Precision Instruments,Tsinghua University,Beijing 100084,China
Abstract:ObjectiveTo investigate the necessary of letting the intelligent knee joint be adaptive to the road terrain and the key technology of knee moment control method. MethodsBased on data from gait analysis and the dynamic model of lower limb,the knee moments while people walking on the path of different terrain were obtained. Terrain identification method was based on the features of electromyography(EMG) signals of the thigh,and the EMG of some muscles was detected. The methods were applied to an intelligent trans-femoral prosthesis developed for tests in the laboratory.ResultsConsiderable variation of the knee moments appeared when people walking on the path of different terrain,as well as that of the features of EMG of some muscles.ConclusionIt is necessary to make the intelligent knee joint be adaptive to the road terrain,and it is possible to be achieved with satisfied motion of the leg and the trajectory of ankle joint by the intelligent transfemoral prosthesis being studied which can identify the features of EMG signals.
Keywords:rehabilitation engineering  trans-femoral prosthesis  intelligent control  electromyography signal
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号