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Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)

Banala, Sai K., Kim, Seok Hun, Agrawal, Sunil K. and Scholz, John P. (2009) Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX). IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 17 (1). pp. 2-8. [Journal article]

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DOI: 10.1109/TNSRE.2008.2008280

Abstract

Gait training of stroke survivors is crucial to facilitateneuromuscular plasticity needed for improvements in functionalwalking ability. Robot assisted gait training (RAGT) was developedfor stroke survivors using active leg exoskeleton (ALEX) anda force-field controller, which uses assist-as-needed paradigm forrehabilitation. In this paradigm undesirable gait motion is resistedand assistance is provided towards desired motion. The force-field controller achieves this paradigm by effectively applying forces at the ankle of the subject through actuators on the hip and knee joints. Two stroke survivors participated in a 15-session gait training study each with ALEX. The results show that by the end of the training the gait pattern of the patients improved and became closer to a healthy subject’s gait pattern. Improvementis seen as an increase in the size of the patients’ gait pattern, increased knee and ankle joint excursions and increase in their walking speeds on the treadmill.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:27729
Deposited By: Ms Anne McMullan
Deposited On:04 Nov 2013 09:22
Last Modified:04 Nov 2013 09:22

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