| dc.contributor | Esch, Lorenz | |
| dc.creator | Klüber, Viktor | |
| dc.date | 2017-10-14T21:21:08Z | |
| dc.date | 2017-10-14T21:21:08Z | |
| dc.date | 2017-10-14T21:21:08Z | |
| dc.date | 2017-10-14T21:21:08Z | |
| dc.date | 2016 | |
| dc.date | 2017-10-14 | |
| dc.date.accessioned | 2024-05-15T18:57:34Z | |
| dc.date.available | 2024-05-15T18:57:34Z | |
| dc.identifier | http://hdl.handle.net/20.500.12404/9519 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9433108 | |
| dc.description | Brain-Computer-Interfaces (BCIs) provide a novel way of communication by interpreting
different types of brain states. This principle of reading minds makes BCIs a
challenging but at the same time fascinating topic among the different disciplines of
electrophysiology and biomedical-signal-processing.
This work describes the development of a non-invasive BCI approach using steadystate-
visual-evoked-potentials (SSVEP) as a mental strategy. SSVEP based BCIs require
an external visual stimulation, which in this work is transmitted by a LCD-screen.
Consequently, a visual reactive BCI is integrated as a plug-in into the open source
project MNE-CPP, which provides an extensive library for brain monitoring and processing.
MNE-Scan, as a standalone software from MNE-CPP, contains the necessary
real-time source localization and is used as a framework for the BCI. Moreover, an
expansion with a screen keyboard device shows the BCI’s practicability.
The work’s result delivers a functioning SSVEP BCI approach with an average detection
accuracy of 86 %. However, it is shown, that a transition from a BCI on sensor
level to a BCI on source level is challenging and requires a certain pre-development,
whereby a first approach of the BCI only was realized on sensor level in this work. | |
| dc.description | Tesis | |
| dc.language | eng | |
| dc.publisher | Pontificia Universidad Católica del Perú | |
| dc.publisher | PE | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Interfaces cerebro-computadora | |
| dc.subject | Electroencefalografía | |
| dc.subject | https://purl.org/pe-repo/ocde/ford#2.00.00 | |
| dc.title | Development of a BCI based on real-time neural source localization | |
| dc.type | info:eu-repo/semantics/masterThesis | |
