Elektroencefalogram in nizkocenovni vmesniki možgani-stroj

diplomsko delo univerzitetnega študijskega programa

Dejan Volk (Author), Aleš Holobar (Mentor), Boris Cigale (Co-mentor)

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;

Data

Language:	Slovenian
Year of publishing:	2010
Source:	Maribor
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[D. Volk]
UDC:	621.3:616.813-073-71(043.2)
COBISS:	15291670
Views:	2162
Downloads:	182
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Electroencephalogram and low-cost brain-computer interfaces
Secondary 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.
Secondary keywords:	brain-computer interfaces;electroencephalogram;brain;signal analysis;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages:	IX, 45 str.
Keywords (UDC):	applied sciences;medicine;technology;uporabne znanosti;medicina;tehnika;engineering;technology in general;inženirstvo;tehnologija na splošno;mechanical engineering in general;nuclear technology;electrical engineering;machinery;strojništvo;electrical engineering;elektrotehnika;applied sciences;medicine;technology;uporabne znanosti;medicina;tehnika;medical sciences;medicina;pathology;clinical medicine;patologija;klinična medicina;neurology;neuropathology;nervous system;nevrologija;nevropatologija;živčevje;
ID:	1015342