NDLI: Functional electrical stimulation based on a pelvis support robot for gait rehabilitation of hemiplegic patients after stroke

Content Provider	IEEE Xplore Digital Library
Author	Jing Ye Nakashima, Y. Bo Zhang Kobayashi, Y. Fujie, M.G.
Copyright Year	2014
Description	Author affiliation: Fac. of Sci. & Eng., Waseda Univ., Tokyo, Japan (Bo Zhang; Kobayashi, Y.; Fujie, M.G.) \|\| Grad. Sch. of Adv. Sci. & Eng., Waseda Univ., Tokyo, Japan (Jing Ye; Nakashima, Y.)
Abstract	More and more stroke survivors are suffering from physical motor impairments. Current therapeutic interventions have various limits to the efficient recovery of normal motor function of the lower limbs. Therefore, we propose a novel gait rehabilitation system for hemiplegic patients after stroke. It integrates functional electrical stimulation (FES) with a pelvis-supporting robotic system. A corresponding relationship between the gait phase and the active lateral movement of the pelvis is first constructed from experiments on simulated hemiplegic patients. By estimating the gait phase from the lateral motion of the pelvis based on this relationship, the timing of FES sent to the muscles of the lower limbs can be automatically determined during a gait cycle. After experiments on simulated hemiplegic stroke survivors with the FES control algorithm, the proposed algorithm and the gait rehabilitation system are verified to be feasible and promising.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	3098
Ending Page	3101
File Size	923197
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944278
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pelvis Legged locomotion Muscles Force Belts Educational institutions
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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