Brain computer interface

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dc.contributor.advisor Nasuto, S.
dc.contributor.advisor Sánchez Fernández, Matilde Pilar
dc.contributor.author Madrid Sobrino, María
dc.contributor.other University of Reading. School of Systems Engineering
dc.date.accessioned 2016-06-17T12:30:05Z
dc.date.available 2016-06-17T12:30:05Z
dc.date.issued 2014
dc.date.submitted 2014-06-30
dc.identifier.uri http://hdl.handle.net/10016/23226
dc.description.abstract This report presents an EEG-based brain-computer interface (BCI) in which subjects could select a picture from a set on a computer screen. The application is centred on detecting steady-state visual evoked potentials (SSVEP) in EEG signals recorded on the scalp of the subject. BCI2000 software platform is used in this project as a basis for the whole system. The platform will link its modules and the developed ones needed to achieve the closed-loop BCI system. In this context, a C++ computer application with 16 targets and a MATLAB signal processing module were then implemented using the proposed method. In offline tests for a set of frequencies with differences of amplitude up to 15 dB, detection was achieved. Detection was also achieved in online tests.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Brain computer interfaces
dc.subject.other BCIs
dc.title Brain computer interface
dc.type masterThesis
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.description.degree Ingeniería de Telecomunicación
dc.contributor.departamento Universidad Carlos III de Madrid. Departamento de Teoría de la Señal y Comunicaciones
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