中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
GPR and SPSO-CG based gait pattern generation for subject-specific training

文献类型:期刊论文

作者weiqun wang1; Weiguo SHI1,2; Shixin REN1,2; zeng-guang hou1,2; Xu LIANG1,2; Jiaxin WANG1,2; Liang PENG1
刊名SCIENCE CHINA Information Sciences
出版日期2019
期号00页码:00
关键词Gait Pattern Generation Subject-specific Training
英文摘要

Gait training has been proved effective for recovery of walking ability for nerve injury patients caused by stroke, spinal cord injury(SCI), traumatic brain injury(TBI), etc. The traditional gait training methods, usually carried out by hand, are laborious and time-consuming, and hence, the
training intensity is difficult to be maintained and the rehabilitation results are not satisfactory. To overcome the limitation, lower limb rehabilitation robots (LLRRs) have been developed for clinical
gait training, the typical ones of which including Lokomat, ReoAmbulator, Rewalk, etc

语种英语
源URL[http://ir.ia.ac.cn/handle/173211/26189]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者zeng-guang hou
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
推荐引用方式
GB/T 7714
weiqun wang,Weiguo SHI,Shixin REN,et al. GPR and SPSO-CG based gait pattern generation for subject-specific training[J]. SCIENCE CHINA Information Sciences,2019(00):00.
APA weiqun wang.,Weiguo SHI.,Shixin REN.,zeng-guang hou.,Xu LIANG.,...&Liang PENG.(2019).GPR and SPSO-CG based gait pattern generation for subject-specific training.SCIENCE CHINA Information Sciences(00),00.
MLA weiqun wang,et al."GPR and SPSO-CG based gait pattern generation for subject-specific training".SCIENCE CHINA Information Sciences .00(2019):00.

入库方式: OAI收割

来源:自动化研究所

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