高技术通讯2012，Vol.22Issue(8)：845-850,6.DOI:10.3772/j.issn.1002-0470.2012.08.011
基于小波包模糊推理的上肢康复机器人智能专家系统
A robotic intelligent expert system for upper-limb rehabilitation based on wavelet packet and Fuzzy reasoning
摘要
Abstract
Considering the fact that the existing robot-aided upper-limb rehabilitation systems are incapable of automatically recommending an appropriate training mode for an impaired limb, a novel intelligent expert system diagnosis method is proposed based on wavelet packet and fuzzy logic. When the method is applied to diagnose, the impaired limb' s movement characteristics are firstly extracted using wavelet packet decomposition according to the passive movement tracking errors in horizontal and vertical directions, and then fuzzy logic involving expert knowledge is used to reason out the appropriate recovery training mode for the impaired limb based on the two-direction movement features. The results of clinical experiment indicate that the proposed method is capable of accurately recommending an appropriate training mode to the impaired limbs with different physical conditions, improving the clinical intelligence for a the robot-aided rehabilitation system.关键词
康复机器人/小波包/特征提取/模糊推理/专家系统Key words
rehabilitation robot/wavelet packet/feature extraction/fuzzy reasoning/expert system引用本文复制引用
潘礼正,宋爱国,李会军,徐国政,徐宝国..基于小波包模糊推理的上肢康复机器人智能专家系统[J].高技术通讯,2012,22(8):845-850,6.基金项目
863计划(2006AA04Z246),国家自然科学基金(61104206)和常州工业攻关计划(CE20100022)资助项目. （2006AA04Z246）
