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Automatic measurement of characteristics of ampliers used for biosignals
Flídr, Karel ; Balogh, Jaroslav (referee) ; Harabiš, Vratislav (advisor)
This thesis is dedicated to operational amplifiers for biological signals. This work provides basic electrodiagnostic methods for scanning of biosignals. The work describes the processing of biological signals and types of sensors used for scanning of biological signals. Then there is described the development environment LabVIEW and NI ELVIS II development board. Finally, there is described an application developed in LabVIEW environment for measuring amplifiers attributes.
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Toolbox for neuronal datasets
Malý, Lukáš ; Harabiš, Vratislav (referee) ; Lamoš, Martin (advisor)
The aim of this bachelor's thesis was to create toolbox for functional magnetic resonance (fMRI) and electroencefalography (EEG) data processing in MATLAB enviroment using SPM software package. The first part describes the physiological origin of these data at neuronal level, basics of magnetic resonance imaging, principles of fMRI experiment, preprocessing and processing of fMRI data, their interpretation, then function and principles of EEG are described and at the end is simultaneous EEG-fMRI described. In the second part of the thesis features of each tool from Neural Data Toolbox (NDTb) are described.
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Recognizing and analyzing of move intention in EEG signal
Lízal, Radek ; Kolářová, Jana (referee) ; Bubník, Karel (advisor)
This thesis contains information about the electroencephalograph and its characteristics, taking into account the possible measurements and ways of reading them. The factors which might influence the quality of the signal are taken into consideration as well. Furthermore, the methods of processing the electroencephalography signal are analysed, followed by theoretical description of brain reactions preceding both realised and intended movement. Moreover, two different measurement experiments are described and the obtained results are commented on and compared to the theoretical findings.
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Electroencephalography
Jarošová, Veronika ; Ronzhina, Marina (referee) ; Chmelař, Milan (advisor)
This semestral paper has its aim to describe the electroencephalography. The beginning of paper is devoted to the history of electroencephalography, then there is both spontaneous and evoked brain activity described. Further, the paper deal with the electroencephalography. At the conclusion of teoretical part is described the methodology and processing of electroencephalography signal. The practical part of the work is focused on the creation of three various exercises on the epilepsy theme, reflexes and memory. Then the exercises were verified practically at fourteen volunteers. Further, in the work there is mentioned the instruction for particular measures, valuation results and its discussion.
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The use of EEG in assessing the emotional state of a person
Strakoš, Libor ; Mézl, Martin (referee) ; Potočňák, Tomáš (advisor)
This thesis is focused on EEG processing and emotion classification within two-dimensional emotion space. First part consists of theoretical research about emotional responses of human subjects on sound, image and video stimuli. Emotions are examined from aspect of physiology and psychology. Furthermore technical overview of measurement, analysis and emotion classification within two-dimensional emotional space is discussed. Based on gathered knowledge measurement setup with audiovisual stimuli was designed and measured with two independent instruments – EGI GES400MR in laboratory conditions and Emotiv EPOC device in non-laboratory conditions. Signals were processed and emotions were classified based on chosen features. Performance of classifiers in multiple feature selection setups was evaluated.
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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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Spectral Analysis of EEG Signal
Miklenda, Petr ; Orság, Filip (referee) ; Kupková, Karolína (advisor)
This bachelor thesis is focused at the EEG signal analysis using the Fast Fourier Transform. The theoretical part consist of EEG signal description, its creation and selected method for signal analysis. The practical part presents program for recording data from EEG headset and displaying the Fourier spectrum.
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Measurement of biosignals with usage of Biopac system
Rageh, Akram ; Kolářová, Jana (referee) ; Janoušek, Oto (advisor)
This work describes a brief overview of measurement of Electroencephalography (EEG), Electromyography (EMG), Electrooculography (EOG), Electrocardiography (ECG) and theirs usage. Subsequently is described how these biosignals can be measured with Biopac system. The measurement of electrocardiography is described in detail, including ECG curve description, Biopac measurement system and R-R intervals analysis based on measurement of group of volunteers.
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Human Sleep EEG Analysis
Sadovský, Petr ; Rozman, Jiří (advisor)
This thesis deals with analysis and processing of the Sleep Electroencephalogram (EEG) signals. The scope of this thesis can be split into several areas. The first area is application of the Independent Component Analysis (ICA) method for EEG signal analysis. A model of EEG signal formation is proposed and conditions under which this model is valid are examined. It is shown that ICA can be used to remove non-deterministic artifacts contained in the EEG signals. The second area of interest is analysis of stationarity of the Sleep EEG signal. Methods to identify stationary signal segments and to analyze statistical properties of these stationary segments are presented. The third area of interest focuses on spectral analysis of the Sleep EEG signals. Analyses are performed that shows the processes that form particular parts of EEG signals spectrum. Also, random signals that are an integral part of the EEG signals analysis are performed. The last area of interest focuses on elimination of the transition processes that are caused by the filtering of the short EEG signal segments.
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Analysis of electroencephalograms
Gajdoš, Martin ; Rozman, Jiří (referee) ; Kolářová, Jana (advisor)
Electroencephalography is sensitive diagnostic method for measuring electric potentials generated by brain. In this project are described the properties of the EEG signal and methods of EEG measuring, processing and evaluating. Also the noise sources and methods for noise removing are described. The project deals in the second part with detection of drowsiness and microsleep from driver’s EEG. At first theoretically, then is shown the practical measurement of EEG on volunteers. During the measurement was intention to induce drowsiness and microsleep. Finally is described the processing of measured EEG signals and the results are visualized.
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