Jiangcheng Chen, Xiaodong Zhang, He Wang, Qiangyong Shi, Rui Li
{"title":"下肢康复机器人的控制策略","authors":"Jiangcheng Chen, Xiaodong Zhang, He Wang, Qiangyong Shi, Rui Li","doi":"10.1109/ICINFA.2014.6932638","DOIUrl":null,"url":null,"abstract":"Robotic devices for functional therapy for paralysis caused by neurologic injury is becoming popular now days. Effective control strategy is a key technical problem in developing a rehabilitation robot. In this paper, different control strategies for different training stages are proposed. Firstly, the rehabilitation process is divided into two stages which corresponding to two kinds of training modes: robot-in-charge and patient-in-charge (passive and active). Then, the position control method is proposed for passive mode as well as the bioelectrical signal (EMG) based control strategy for active training mode. Meanwhile, simulation of the control is conducted and the results proved the correctness of our control method.","PeriodicalId":427762,"journal":{"name":"2014 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Control strategies for lower limb rehabilitation robot\",\"authors\":\"Jiangcheng Chen, Xiaodong Zhang, He Wang, Qiangyong Shi, Rui Li\",\"doi\":\"10.1109/ICINFA.2014.6932638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robotic devices for functional therapy for paralysis caused by neurologic injury is becoming popular now days. Effective control strategy is a key technical problem in developing a rehabilitation robot. In this paper, different control strategies for different training stages are proposed. Firstly, the rehabilitation process is divided into two stages which corresponding to two kinds of training modes: robot-in-charge and patient-in-charge (passive and active). Then, the position control method is proposed for passive mode as well as the bioelectrical signal (EMG) based control strategy for active training mode. Meanwhile, simulation of the control is conducted and the results proved the correctness of our control method.\",\"PeriodicalId\":427762,\"journal\":{\"name\":\"2014 IEEE International Conference on Information and Automation (ICIA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Information and Automation (ICIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2014.6932638\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2014.6932638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control strategies for lower limb rehabilitation robot
Robotic devices for functional therapy for paralysis caused by neurologic injury is becoming popular now days. Effective control strategy is a key technical problem in developing a rehabilitation robot. In this paper, different control strategies for different training stages are proposed. Firstly, the rehabilitation process is divided into two stages which corresponding to two kinds of training modes: robot-in-charge and patient-in-charge (passive and active). Then, the position control method is proposed for passive mode as well as the bioelectrical signal (EMG) based control strategy for active training mode. Meanwhile, simulation of the control is conducted and the results proved the correctness of our control method.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
