DocumentCode :
739003
Title :
An Assistive Control Approach for a Lower-Limb Exoskeleton to Facilitate Recovery of Walking Following Stroke
Author :
Murray, Spencer A. ; Ha, Kevin H. ; Hartigan, Clare ; Goldfarb, Michael
Author_Institution :
Dept. of Electr. Eng., Vanderbilt Univ., Nashville, TN, USA
Volume :
23
Issue :
3
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
441
Lastpage :
449
Abstract :
This paper presents a control approach for a lower-limb exoskeleton intended to facilitate recovery of walking in individuals with lower-extremity hemiparesis after stroke. The authors hypothesize that such recovery is facilitated by allowing the patient rather than the exoskeleton to provide movement coordination. As such, an assistive controller that provides walking assistance without dictating the spatiotemporal nature of joint movement is described here. Following a description of the control laws and finite state structure of the controller, the authors present the results of an experimental implementation and preliminary validation of the control approach, in which the control architecture was implemented on a lower limb exoskeleton, and the exoskeleton implemented in an experimental protocol on three subjects with hemiparesis following stroke. In a series of sessions in which each patient used the exoskeleton, all patients showed substantial single-session improvements in all measured gait outcomes, presumably as a result of using the assistive controller and exoskeleton.
Keywords :
assisted living; cardiovascular system; gait analysis; medical robotics; patient rehabilitation; assistive control approach; cerebrovascular accident; finite state structure; gait rehabilitation; lower-extremity hemiparesis; lower-limb exoskeleton; movement coordination; patient recovery; rehabilitation robotics; stroke rehabilitation; walking assistance; Exoskeletons; Hip; Joints; Knee; Legged locomotion; Torque; Assistive technology; cerebrovascular accident; gait rehabilitation; hemiparesis; lower-limb exoskeleton; rehabilitation robotics; stroke rehabilitation;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2014.2346193
Filename :
6876184
Link To Document :
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