NDLI: Functional error assessment in gait event discrimination for FES-assisted locomotion

Content Provider	IEEE Xplore Digital Library
Author	Kostov, A.
Copyright Year	1996
Description	Author affiliation: Fac. of Rehabilitaton Med., Alberta Univ., Edmonton, Alta., Canada (Kostov, A.)
Abstract	Discrimination of gait events is required for control of functional electrical stimulation (FES) used to assist with locomotion after lesions in the central nervous system. The authors have previously demonstrated that adaptive logic networks (ALNs) can be used in gait event discrimination (GED) and automatic design of control algorithms for FES-assisted locomotion. Machine learning techniques for supervised learning generalize well in cloning the skill of the subject controlling the stimulation manually. However, safe operation of a GED-based control system applied to a highly variable human walking may require more redundancy than ALNs alone can provide. A practical method was designed to provide additional safety for the subject. Functional errors of the FES-control system were defined to evaluate its performance, and restriction rules (RRs), based on a priori knowledge about the subject's walking, were introduced to verify decisions made by ALNs and to eliminate infrequent functional errors. The authors' results demonstrated that RRs can completely eliminate critical functional errors if a certain level of ALN training is achieved. The authors' future efforts are directed toward expanding the training error assessment method to define the training level required for error-free performance.
Starting Page	461
Ending Page	462
File Size	246621
Page Count	2
File Format	PDF
ISBN	0780338111
DOI	10.1109/IEMBS.1996.657043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-31
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic control Control systems Legged locomotion Centralized control Neuromuscular stimulation Lesions Central nervous system Adaptive systems Programmable control Adaptive control
Content Type	Text
Resource Type	Article

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