DocumentCode :
321156
Title :
Gait event discrimination using ALNs for control of FES in foot-drop problem
Author :
Kostov, Aleksandar ; Sinkjaer, Thomas ; Upshaw, Barry
Author_Institution :
Fac. of Rehabilitation Med., Alberta Univ., Edmonton, Alta., Canada
Volume :
1
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
459
Abstract :
Discrimination of stance and swing phases of the gait is required for control of functional electrical stimulation (FES) used to assist with ankle dorsiflexion in foot-drop problem. Simple thresholds applied to a human whole nerve signal processed using a sophisticated digital signal processing technique did not result in a safe and reliable control method. In this preliminary study, the authors use the same sensory signals to evaluate a gait event discriminator (GED), based on Adaptive Logic Networks (ALNs). The evaluation was performed off-line using neural signals for sensory feedback and a signal from a heel switch as the output to the stimulator. The neural signal was recorded using a cuff electrode implanted around the calcaneal nerve in the left leg of a male subject and the heel switch was installed inside the shoe of the same leg. Preliminary results suggest that ALNs can discriminate precise timing of heel contact and heel lift during FES-assisted walking. Restriction rules based on a priori knowledge were used to verify decisions made by ALNs and to eliminate infrequent functional errors providing maximum safety for the subject
Keywords :
adaptive signal processing; biocontrol; bioelectric phenomena; biomechanics; medical signal processing; neural nets; orthotics; FES control; FES-assisted walking; adaptive logic networks; ankle dorsiflexion; foot-drop problem; gait event discrimination; gait event discriminator; heel switch; human whole nerve signal; infrequent functional errors elimination; left leg; maximum safety; off-line evaluation; restriction rules; sensory signals; sophisticated digital signal processing technique; stance phase; swing phase; Adaptive systems; Digital signal processing; Humans; Leg; Logic; Neuromuscular stimulation; Output feedback; Performance evaluation; Signal processing; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.657042
Filename :
657042
Link To Document :
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