Nasuto, S.Sánchez Fernández, Matilde PilarMadrid Sobrino, MaríaUniversity of Reading. School of Systems Engineering2016-06-172016-06-1720142014-06-30http://hdl.handle.net/10016/23226This 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.application/pdfengAtribución-NoComercial-SinDerivadas 3.0 EspañaBrain computer interfacesBCIsmaster thesisTelecomunicacionesopen access