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Treffer: A Study on the Effect of Electrical Stimulation During Motor Imagery Learning in Brain-Computer Interfacing

Title:
A Study on the Effect of Electrical Stimulation During Motor Imagery Learning in Brain-Computer Interfacing
Contributors:
Control of Artificial Movement and Intuitive Neuroprosthesis (CAMIN), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Computational Imaging of the Central Nervous System (ATHENA), Centre Inria d'Université Côte d'Azur
Source:
SMC: Systems. :2840-2845
Publisher Information:
CCSD; IEEE, 2016.
Publication Year:
2016
Collection:
collection:CNRS
collection:INRIA
collection:INRIA-SOPHIA
collection:INRIASO
collection:INRIA_TEST
collection:TESTALAIN1
collection:LIRMM
collection:INRIA2
collection:CAMIN
collection:TDS-MACS
collection:MIPS
collection:UNIV-MONTPELLIER
collection:UNIV-COTEDAZUR
collection:UM-2015-2021
Subject Geographic:
Original Identifier:
HAL: hal-01402794
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1109/SMC.2016.7844670
DOI:
10.1109/SMC.2016.7844670
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.01402794v1
Database:
HAL

Weitere Informationen

Functional Electrical Stimulation (FES) stimulates the affected region of the human body thus providing a neu-roprosthetic interface to non-recovered muscle groups. FES in combination with Brain-computer interfacing (BCI) has a wide scope in rehabilitation because this system can directly link the cerebral motor intention of the users with its corresponding peripheral mucle activations. Such a rehabilitative system would contribute to improve the cortical and peripheral learning and thus, improve the recovery time of the patients. In this paper, we examine the effect of electrical stimulation by FES on the electroencephalography (EEG) during learning of a motor imagery task. The subjects are asked to perform four motor imagery tasks over six sessions and the features from the EEG are extracted using common spatial algorithm and decoded using linear discriminant analysis classifier. Feedback is provided in form of a visual medium and electrical stimulation representing the distance of the features from the hyperplane. Results suggest a significant improvement in the classification accuracy when the subject was induced with electrical stimulation along with visual feedback as compared to the standard visual one.