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Title:ELEKTROENCEFALOGRAM IN NIZKOCENOVNI VMESNIKI MOŽGANI-STROJ
Authors:ID Volk, Dejan (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
ID Cigale, Boris (Comentor)
Files:.pdf UNI_Volk_Dejan_2011.pdf (2,67 MB)
MD5: A06C0A723A868D02D65426CE670C0C7E
PID: 20.500.12556/dkum/d35509c9-7fac-4caa-8ad6-20c9dfcfb9c8
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu naslavljamo vmesnike človek – stroj in z njimi povezan zajem elektroencefalogramov (EEG). Proučimo možnosti nizkocenovne izvedbe vezij za zajem signalov EEG in glavne paradigme, na katerih temelji komunikacija možgani –računalnik, predvsem potencial P 300 in ritem Mu. V drugem sklopu diplomskega dela predstavimo odprtokodno programsko platformo BCI 2000 in nizkocenovno vezje za zajem signalov EEG ModularEEG. Podrobno opišemo njune slabosti in zasnovo izpeljanih izboljšav. Sledi analiza primernosti platforme BCI 2000 in vezja ModularEEG za namene vmesnikov človek – stroj, kjer ocenimo, da je zaradi številnih konstrukcijskih slabosti vezje ModularEEG manj primerno za zajem signalov EEG; podamo tudi smernice za njegov nadaljnji razvoj.
Keywords:vmesniki človek – stroj, elektroencefalogram, EEG, možgani, analiza signalov, Modular EEG, BCI 2000
Place of publishing:Maribor
Publisher:[D. Volk]
Year of publishing:2010
PID:20.500.12556/DKUM-19703 New window
UDC:621.3:616.813-073-71(043.2)
COBISS.SI-ID:15291670 New window
NUK URN:URN:SI:UM:DK:DJNYHA0K
Publication date in DKUM:25.08.2011
Views:2933
Downloads:236
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:ELECTROENCEPHALOGRAM AND LOW-COST BRAIN-COMPUTER INTERFACES
Abstract:In this thesis, we address the topic of brain-computer interfaces and the associated acquisition of electroencephalographic data. We examine the possibilities of low-cost implementation of circuits for EEG data acquisition and its main paradigms, that are the basis of brain-computer based communication, particularly the P 300 potential and Mu rhythm. In the second part of the thesis, we introduce the open-source software platform BCI 2000 and low-cost circuit ModularEEG, designed for EEG acquistion, followed by a detailed analysis of BCI 2000 platform and Modular EEG circuits and its suitability for the purpose of brain-computer interfaces. The analysis revealed several construction weaknesses that make Modular EEG circuits less suitable for EEG acquisiton, thus, several guidelines for its further developement are provided.
Keywords:brain-computer interfaces, electroencephalogram, EEG, brain, signal analysis, Modular EEG, BCI 2000


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