Neuro-fuzzy models for hand movements induced by functional electrical stimulation in able-bodied and hemiplegic subjects

Highlights • An upper-limb FES model based on recurrent fuzzy neural networks is proposed. • Model predicts wrist and finger kinematics from electrode location and amplitude. • Data collected from healthy subjects and brain injured hemiplegic patients were used. • Prediction success rates between 78...

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Veröffentlicht in:	Medical engineering & physics 2016-11, Vol.38 (11), p.1214-1222
Hauptverfasser:	Imatz-Ojanguren, Eukene, Irigoyen, Eloy, Valencia-Blanco, David, Keller, Thierry
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Biomechanical Phenomena Case-Control Studies Electric Stimulation Therapy Female Functional electrical stimulation Fuzzy Logic Fuzzy neural networks Hand Hand - physiopathology Hemiplegia - physiopathology Hemiplegia - therapy Humans Male Middle Aged Modeling Movement Multi-field electrodes Neural Networks (Computer) Neuroprosthesis Radiology
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container_title	Medical engineering & physics
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creator	Imatz-Ojanguren, Eukene Irigoyen, Eloy Valencia-Blanco, David Keller, Thierry
description	Highlights • An upper-limb FES model based on recurrent fuzzy neural networks is proposed. • Model predicts wrist and finger kinematics from electrode location and amplitude. • Data collected from healthy subjects and brain injured hemiplegic patients were used. • Prediction success rates between 78% and 100% were achieved by all subjects.
doi_str_mv	10.1016/j.medengphy.2016.06.008
format	Article
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subjects	Adult Aged Biomechanical Phenomena Case-Control Studies Electric Stimulation Therapy Female Functional electrical stimulation Fuzzy Logic Fuzzy neural networks Hand Hand - physiopathology Hemiplegia - physiopathology Hemiplegia - therapy Humans Male Middle Aged Modeling Movement Multi-field electrodes Neural Networks (Computer) Neuroprosthesis Radiology
title	Neuro-fuzzy models for hand movements induced by functional electrical stimulation in able-bodied and hemiplegic subjects
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