Feasibility of Using Neuro-Fuzzy Subject-Specific Models for Functional Electrical Stimulation Induced Hand Movements

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dc.contributor.authorImatz-Ojanguren, Eukene
dc.contributor.authorIrigoyen, Eloy
dc.contributor.authorValencia, David
dc.contributor.authorKeller, Thierry
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionMedical Technologies
dc.date.issued2015-09-01
dc.descriptionPublisher Copyright: © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
dc.description.abstractFunctional Electrical Stimulation (FES) is a technique that artificially elicits muscle contractions and it is used to restore motor/sensory functions in both assistive and therapeutic applications. The use of multi-field surface electrodes is a novel popular approach in transcutaneous FES applications. Lately, hybrid systems that combine artificial neural networks and fuzzy logic have also been proposed for many applications in different areas. This paper presents the possibility of combining both approaches for obtaining subject-specific models of FES induced hand movements for grasping applications. Data of the hand and finger motion from two subjects affected by acquired brain injury were used to train two different approaches: coactive neuro-fuzzy inference system and recurrent fuzzy neural network. Preliminary results show that these approaches can be considered in modelling applications for their ability to learn and predict main characteristics of the system, as well as providing useful information from the original system that could be interpreted as subject-specific knowledge.en
dc.description.statusPeer reviewed
dc.format.extent6
dc.format.extent840420
dc.identifier.citationImatz-Ojanguren , E , Irigoyen , E , Valencia , D & Keller , T 2015 , ' Feasibility of Using Neuro-Fuzzy Subject-Specific Models for Functional Electrical Stimulation Induced Hand Movements ' , unknown , vol. unknown , no. 20 , pp. 321-326 . https://doi.org/10.1016/j.ifacol.2015.10.159
dc.identifier.doi10.1016/j.ifacol.2015.10.159
dc.identifier.otherresearchoutputwizard: 11556/93
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84992512233&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofunknown
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsNeuro-prosthetics
dc.subject.keywordsFunctional Electrical Stimulation
dc.subject.keywordsBiological and medical system modelling
dc.subject.keywordsFuzzy Neural Networks
dc.subject.keywordsNeuro-prosthetics
dc.subject.keywordsFunctional Electrical Stimulation
dc.subject.keywordsBiological and medical system modelling
dc.subject.keywordsFuzzy Neural Networks
dc.subject.keywordsControl and Systems Engineering
dc.titleFeasibility of Using Neuro-Fuzzy Subject-Specific Models for Functional Electrical Stimulation Induced Hand Movementsen
dc.typeconference output
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