EEG-based BCI for the linear control of an upper-limb neuroprosthesis
DC Field | Value | Language |
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dc.contributor.author | Vidaurre, Carmen | - |
dc.contributor.author | Klauer, Christian | - |
dc.contributor.author | Schauer, Thomas | - |
dc.contributor.author | Ramos-Murguialday, Ander | - |
dc.contributor.author | Mueller, Klaus-Robert | - |
dc.date.accessioned | 2021-09-03T17:26:24Z | - |
dc.date.available | 2021-09-03T17:26:24Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-11 | - |
dc.identifier.issn | 1350-4533 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/86965 | - |
dc.description.abstract | Assistive technologies help patients to reacquire interacting capabilities with the environment and improve their quality of life. In this manuscript we present a feasibility study in which healthy users were able to use a non-invasive Motor Imagery (MI)-based brain computer interface (BCI) to achieve linear control of an upper-limb functional electrical stimulation (FES) controlled neuro-prosthesis. The linear control allowed the real-time computation of a continuous control signal that was used by the FES system to physically set the stimulation parameters to control the upper-limb position. Even if the nature of the task makes the operation very challenging, the participants achieved a mean selection accuracy of 82.5% in a target selection experiment. An analysis of limb kinematics as well as the positioning precision was performed, showing the viability of using a BCI FES system to control upper-limb reaching movements. The results of this study constitute an accurate use of an online non-invasive BCI to operate a FES-neuroprosthesis setting a step toward the recovery of the control of an impaired limb with the sole use of brain activity. (C) 2016 IPEM. Published by Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | BRAIN-COMPUTER INTERFACES | - |
dc.subject | MOTOR IMAGERY | - |
dc.title | EEG-based BCI for the linear control of an upper-limb neuroprosthesis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Mueller, Klaus-Robert | - |
dc.identifier.doi | 10.1016/j.medengphy.2016.06.010 | - |
dc.identifier.scopusid | 2-s2.0-84994493633 | - |
dc.identifier.wosid | 000387197800007 | - |
dc.identifier.bibliographicCitation | MEDICAL ENGINEERING & PHYSICS, v.38, no.11, pp.1195 - 1204 | - |
dc.relation.isPartOf | MEDICAL ENGINEERING & PHYSICS | - |
dc.citation.title | MEDICAL ENGINEERING & PHYSICS | - |
dc.citation.volume | 38 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1195 | - |
dc.citation.endPage | 1204 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.subject.keywordPlus | BRAIN-COMPUTER INTERFACES | - |
dc.subject.keywordPlus | MOTOR IMAGERY | - |
dc.subject.keywordAuthor | Brain computer interfacing | - |
dc.subject.keywordAuthor | Motor imagery | - |
dc.subject.keywordAuthor | Neuralprosthesis | - |
dc.subject.keywordAuthor | Functional electrical stimulation | - |
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