User-Adaptive Assistance of Assistive Knee Braces for Gait Rehabilitation
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AbstractPatients suffering from neurological and orthopedic diseases or injuries usually have mobility impairment problems, and they require customized rehabilitation training to recover. In recent years, robotic assistive devices have been widely studied for gait rehabilitation. In this paper, methods to determine user-adaptive assistance of assistive knee braces (AKBs) in gait rehabilitation are investigated. A fuzzy expert system, which takes a patient's physical condition and gait analysis results as inputs, is proposed to configure suitable levels of different assistive functions of the AKB. During gait rehabilitation, the AKB generates a reference knee trajectory according to the patient's individual gait pattern, and the interaction force is controlled through a hybrid impedance controller considering the individual assistive function configuration. The proposed methods are verified through clinical pilot studies of a patient with lower limb weakness. Experimental results show that AKB with the proposed control strategies can provide effective assistance to improve the patient's gait performance during gait rehabilitation.
All Author(s) ListMa H, Zhong CH, Chen B, Chan KM, Liao WH
Journal nameIEEE Transactions on Neural Systems and Rehabilitation Engineering
Year2018
Month10
Volume Number26
Issue Number10
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Pages1994 - 2005
ISSN1534-4320
eISSN1558-0210
LanguagesEnglish-United Kingdom
KeywordsGait rehabilitation, powered orthoses, user-adaptive assistance, gait analysis, fuzzy expert system, impedance control
Web of Science Subject CategoriesEngineering, Biomedical;Rehabilitation;Engineering;Rehabilitation

Last updated on 2020-28-06 at 00:19