CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
GPR and SPSO-CG based gait pattern generation for subject-specific training
weiqun wang1; Weiguo SHI1,2; Shixin REN1,2; zeng-guang hou1,2; Xu LIANG1,2; Jiaxin WANG1,2; Liang PENG1
Source PublicationSCIENCE CHINA Information Sciences
2019
Issue00Pages:00
Abstract

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

KeywordGait Pattern Generation Subject-specific Training
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26189
Collection复杂系统管理与控制国家重点实验室_先进机器人
Corresponding Authorzeng-guang hou
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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