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Measurement of biological signals with Bipack system
Brudík, Vladislav ; Hlaváček, Antonín (referee) ; Valla, Martin (advisor)
This bachelor's thesis deals with questions of sensing electrical brain activity by electroencephalograph, and the data processing. Theoretical part is focused on brain, it's anatomy and functions. It also deals with biological signals, types of curves and systems used for measuring EEG curves. For purpose of signal processing it's been designed application software with GUI interface. This application software displays EEG curves, significant frequency ranges, frequency spectrum and filtered areas of characteristic waves.
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Typing Using Brain Signals
Wagner, Lukáš ; Malinka, Kamil (referee) ; Tinka, Jan (advisor)
This bachelor thesis focusses on the implementation of a brain-computer interface, programmed in Python language, that would enable to communicate using EEG. The thesis investigates and evaluates existing brain-computer interface technologies for this purpose. The thesis also explores the use of machine learning applied to the technology, in particular neural networks, which have proven to be one of the most accurate methods of EEG signal processing. Following that, 3 different systems are proposed and implemented, each on different paradigm of visually evoking EEG potential changes. These systems were tested with different signal classification approaches. Unfortunately, none of the systems proved to be useful in communication.
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Analysis of connections between simultaneous EEG and fMRI data
Labounek, René ; Kremláček,, Jan (referee) ; Lamoš, Martin (advisor)
Electroencephalography and functional magnetic resonance are two different methods for measuring of neural activity. EEG signals have excellent time resolution, fMRI scans capture records of brain activity in excellent spatial resolution. It is assumed that the joint analysis can take advantage of both methods simultaneously. Statistical Parametric Mapping (SPM8) is freely available software which serves to automatic analysis of fMRI data estimated with general linear model. It is not possible to estimate automatic EEG–fMRI analysis with it. Therefore software EEG Regressor Builder was created during master thesis. It preprocesses EEG signals into EEG regressors which are loaded with program SPM8 where joint EEG–fMRI analysis is estimated in general linear model. EEG regressors consist of vectors of temporal changes in absolute or relative power values of EEG signal in the specified frequency bands from selected electrodes due to periods of fMRI acquisition of individual images. The software is tested on the simultaneous EEG-fMRI data of a visual oddball experiment. EEG regressors are calculated for temporal changes in absolute and relative EEG power values in three frequency bands of interest ( 8-12Hz, 12-20Hz a 20-30Hz) from the occipital electrodes (O1, O2 and Oz). Three types of test analyzes is performed. Data from three individuals is examined in the first. Accuracy of results is evaluated due to the possibilities of setting of calculation method of regressor. Group analysis of data from twenty-two healthy patients is performed in the second. Group EEG regressors analysis is realized in the third through the correlation matrix due to the specified type of power and frequency band outside of the general linear model.
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EEG Signal Processing and Analysis
Uhliarik, Michal ; Drahanský, Martin (referee) ; Kupková, Karolína (advisor)
Tato práce se zabývá oblastí elektroencefalografie, zpracováním EEG signálů a jejich analýzou. Jsou vysvětleny základní principy vzniku biologických signálů v mozku, charakteristické mozkové vlny a jejich klasifikace. Dále práce ilustruje základní metodologie měření a záznamu těchto signálů, chyby měření, vliv a zdroje signálových artefaktů. Následně je rozebrána problematika předzpracování signálu, nejrozšířenější metodologie, jejich primární určení a teoretické podklady. Zároveň je obsažen i přehled metod pro analýzu EEG signálu v časové, frekvenční a časově-frekvenční oblasti. Jádrem práce jsou metody analýzy EEG signálu ve frekvenční oblasti, jsou uvedeny jejich teoretické podklady, omezení, odchylky a zaměření, jako i vhodné matematické aparáty pro kompenzaci uvedených nedostatků. Praktická část popisuje architekturu a implementaci aplikace Easy EEG Player, která vznikla jako součást téhle práce. Jsou popsány metody reprezentace, zpracováni a analýzy EEG dat za použití zvolených metodologií.
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Numerosity in musicians
VOTAVOVÁ, Jana
This bachelor thesis focuses on a description of a connection between music and numerosity which is related to non-symbolic mathematics. It deals with the possibilities of how early intensive music training can affect mathematical skills, especially the approximal numerical system (ANS). Approximal numerical system ranks among three basic mathematical systems which form the basis of symbolic mathematics. In addition to the possibilities of connecting music and mathematics, the bachelor thesis also deals with mathematical anxiety which most often arises during the first contact with school mathematics and significantly affects the development of mathematical skills in gifted individuals. This thesis presents indisputable evidence that music training has an effect on mathematical skills and it could be used to train an approximate numerical system and thereby improve mathematical performance and as the case may be reduce mathematical anxiety. However, the main goal of this thesis is not only to provide evidence of the connection between music and mathematics but also to be used as an impulse for the further research
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Typing Using Brain Signals
Wagner, Lukáš ; Malinka, Kamil (referee) ; Tinka, Jan (advisor)
This bachelor thesis focusses on the implementation of a brain-computer interface, programmed in Python language, that would enable to communicate using EEG. The thesis investigates and evaluates existing brain-computer interface technologies for this purpose. The thesis also explores the use of machine learning applied to the technology, in particular neural networks, which have proven to be one of the most accurate methods of EEG signal processing. Following that, 3 different systems are proposed and implemented, each on different paradigm of visually evoking EEG potential changes. These systems were tested with different signal classification approaches. Unfortunately, none of the systems proved to be useful in communication.
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EEG ERP inhibitory response of selective attention in bilingual subjects
JANOUŠKOVÁ, Nikola
This bachelor thesis continues in research of bilingual subjects and investigates differences in cognitive functions (especially selective attention). It compares speed and accuracy of bilingual and monolingual responses on verbal stimuli (font detection) during which are observed subjects affected by tone with acoustic pressure of 76 dB. In theoretical part of the thesis I elaborated information about language and speech in general, language development, bilingualism, electroencephalography and of course about speech in neuropsychology. In empirical part there is described research methodology, elaboration and analysis of data, which was gained during the experiment. It?s assumed that bilingual subjects should have different values of event-related potentials, especially in linguistic part of the brain and according to behavioral data should show their cognitive advantage in less error rate. Two types of data were obtained from the experiment ? behavioral and EEG records. Behavioral data were processed in Excel and EEG records in the MATLAB programming environment. The results confirmed intergroup differences in ERP components, but these results were inconsistent within behavioral data, which can be attributed primarily to sample size.
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Vietnamese-Czech bilingual adolescents on EEG - bilingual effect on cognitive advantage
ŠIMKOVÁ, Kateřina Marie
A recently progressive topic of psychology are aspects of humans psyché. It is raised in the most complicated matter human could ever explore. In the brain. This bachelor thesis briefly concludes cerebral mechanisms of neuroplasticity and its influence on humans life. Concretely the theoretical part is specialized on a cognitive advantage of bilingualism. The mentioned advantage was studied in empirical part by electroencephalographic measurement in Vietnamese-Czech bilinguals during letter detection task. We expected bilinguals to outperform control group of monolinguals in behavioral part. Due to a different neural organization within linguistic plasticity, we also expected different amplitudes in event-related potentials in the bilingual group in linguistic areas of the brain. Results confirm mentioned neural differences, although behavioral advantage hypothesis is falsified.
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EEG Signal Processing and Analysis
Uhliarik, Michal ; Drahanský, Martin (referee) ; Kupková, Karolína (advisor)
Tato práce se zabývá oblastí elektroencefalografie, zpracováním EEG signálů a jejich analýzou. Jsou vysvětleny základní principy vzniku biologických signálů v mozku, charakteristické mozkové vlny a jejich klasifikace. Dále práce ilustruje základní metodologie měření a záznamu těchto signálů, chyby měření, vliv a zdroje signálových artefaktů. Následně je rozebrána problematika předzpracování signálu, nejrozšířenější metodologie, jejich primární určení a teoretické podklady. Zároveň je obsažen i přehled metod pro analýzu EEG signálu v časové, frekvenční a časově-frekvenční oblasti. Jádrem práce jsou metody analýzy EEG signálu ve frekvenční oblasti, jsou uvedeny jejich teoretické podklady, omezení, odchylky a zaměření, jako i vhodné matematické aparáty pro kompenzaci uvedených nedostatků. Praktická část popisuje architekturu a implementaci aplikace Easy EEG Player, která vznikla jako součást téhle práce. Jsou popsány metody reprezentace, zpracováni a analýzy EEG dat za použití zvolených metodologií.
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Measurement of biological signals with Bipack system
Brudík, Vladislav ; Hlaváček, Antonín (referee) ; Valla, Martin (advisor)
This bachelor's thesis deals with questions of sensing electrical brain activity by electroencephalograph, and the data processing. Theoretical part is focused on brain, it's anatomy and functions. It also deals with biological signals, types of curves and systems used for measuring EEG curves. For purpose of signal processing it's been designed application software with GUI interface. This application software displays EEG curves, significant frequency ranges, frequency spectrum and filtered areas of characteristic waves.
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