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Title:VMESNIK MOŽGANI-RAČUNALNIK NA OSNOVI POTENCIALOV SSVEP IN NJEGOVA UPORABA V RAČUNALNIŠKIH APLIKACIJAH
Authors:ID Višnjić, Jovan (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf UNI_Visnjic_Jovan_2013.pdf (10,13 MB)
MD5: 53C4A8E39935D2DC00BDB5F14CDBE6E3
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu obravnavamo vmesnik možgani-računalnik na osnovi potencialov SSVEP in raziščemo možnosti za njegovo izvedbo ter uporabo v računalniških aplikacijah. Predstavimo zasnovo izvedenega vmesnika z vidika strojne opreme, kjer smo uporabili ojačevalnik za elektroencefalograme avstrijskega proizvajalca g.tec in osebni računalnik. Prav tako opišemo programski vidik vmesnika, kjer smo za implementacijo eksperimenta uporabili odprtokodno platformo BCI2000 oz. njeno izpeljanko BcPy2000, medtem ko je bila analiza podatkov izvedena s pomočjo programskih razširitev NumPy in SciPy. V delu predstavimo problematiko izvedbe vmesnikov SSVEP s pomočjo osebnega računalnika in načine, kako smo jo skušali zaobiti. Na koncu predstavimo eksperimentalni protokol ter rezultate in meritve eksperimenta.
Keywords:EEG, SSVEP, vmesnik možgani-računalnik, BCI2000
Place of publishing:Maribor
Publisher:[J. Višnjić]
Year of publishing:2013
PID:20.500.12556/DKUM-42127 New window
UDC:004.8:612.82(043.2)
COBISS.SI-ID:17303062 New window
NUK URN:URN:SI:UM:DK:C0I7TFPT
Publication date in DKUM:27.09.2013
Views:2257
Downloads:246
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:SSVEP - BASED BRAIN-COMPUTER INTERFACE IN COMPUTER APPLICATIONS
Abstract:In this thesis we address the topic of brain-computer interface, based on SSVEP signals and examine the possibilities of it's implementation, as well as it's use in computer applications. We present hardware structure of the implemented interface, where we used gUSBamp amplifier and active electrodes produced by the g.tec manufacturer, connected to a personal computer. As for the software part, interface was implemented using the BCI2000 open source platform, with it's BcPy2000 python derivative. Data analysis was done using NumPy and SciPy python's extensions. We also address performance issues, emerging from implementation of the interface on a standard personal computer and present software solutions to overcome them. At the end we present the experimental paradigm and sistematically evaluate the implemented interface.
Keywords:brain-computer interface, EEG, SSVEP, BCI2000


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