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

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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Beschreibung
Zusammenfassung: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.
ISSN:1350-4533
1873-4030
DOI:10.1016/j.medengphy.2016.06.008