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Adaptive Restriction Rules Provide Functional and Safe Stimulation Pattern for Foot Drop Correction
Author(s) -
Kostov Aleksandar,
Hansen Morten,
Haugland Morten,
Sinkjær Thomas
Publication year - 1999
Publication title -
artificial organs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 76
eISSN - 1525-1594
pISSN - 0160-564X
DOI - 10.1046/j.1525-1594.1999.06375.x
Subject(s) - stimulation , functional electrical stimulation , computer science , signal (programming language) , swing , drop (telecommunication) , control theory (sociology) , adaptive control , bin , neuroscience , artificial intelligence , control (management) , algorithm , biology , physics , telecommunications , acoustics , programming language
We report on our advances in sensory feedback data processing and control system design for functional electrical stimulation (FES) assisted correction of foot drop. We have applied 2 methods of signal purification on the bin integrated electroneurogram (i.e., optimized low pass filtering and wavelet denoising) before training adaptive logic networks (ALN). ALN generated stimulation control pulses, which correspond to the swing phase of the impaired leg when dorsal flexion of the foot is necessary to provide safe ground clearance. However, the obtained control signal contained sporadic stimulation spikes in the stance phase, which can collapse the subject, and infrequent broken stimulation pulses in the swing phase, which can result in unpredictable consequences. In this study, we have introduced adaptive restriction rules (ARR), which are initially used as previously reported and then dynamically adapted during the use of the system. Our results suggest that ARR provide a safer and more reliable stimulation pattern than fixed restriction rules.