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Biofeedback and its practical use
Dvořák, Jiří ; Hrozek, Jan (referee) ; Čmiel, Vratislav (advisor)
The aim of this work is describe common methods of biological feedback therapy that is used to treat some psychosomatic diseases. Subsequently, the description is focused on minimal brain dysfunction treatment by the help of EEG biofeedback. Properties and technical requirements for this therapy are concretized. The last part of this thesis is dedicated to the design and realization of practical software tool for EEG biofeedback therapy which is made in LabView 7.1. The M535 acquisition unit and NI USB-6221 measuring device are used for hardware solution.
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Data Analysis and Clasification from the Brain Activity Detector
Ullrich, Petr ; Šůstek, Martin (referee) ; Szőke, Igor (advisor)
This thesis deals with the issue of recording brain activity, implementation of its processing, analysis and classification. The OpenBCI hardware is used for recording. I have studied and described necessary information about recording brain activity and OpenBCI project. Design for data set, data processing and thoughts classification was created. Created system allows classification based on recorded brain activity. The neural network was used for classfication, but the success of the recognition of designed classes was not high.
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Acoustic generator for evoked potentials stimulation
Škutková, Helena ; Rampl, Ivan (referee) ; Chmelař, Milan (advisor)
Evoked potentials are electric brain response to external stimulus. They are important diagnostic no visual method in neurology. For their excitation use of different of kinds stimulation, most often: visual, auditory, somatosenzory, olfactory and gustatory. Evoked potentials are objective method for measurement sense perception. This master’s thesis is specialized to auditory evoked potentials and design acoustic generator for their stimulation. Auditory evoked potentials are primary used for objective audiometry, but they have another usage. In the first place, application is specialized on health sector. The aim of this master’s thesis is compact specified medical requirements with available technical resources.
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Identification of the parameters of an electroencephalographic recording system
Svozilová, Veronika ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
Elektroencefalografický záznamový systém slouží k vyšetření mozkové aktivity. Na základě tohoto vyšetření lze stanovit diagnózu některých nemocí, například epilepsie. Účelem této práce bylo zpracování signálu z toho systému a vytvoření modelového signálu, který bude s reálným signálem porovnán. Uměle vytvořený signál vychází z Jansenova matematického modelu, který byl dále implementován v prostředí MATLAB a rozšířen ze základního modelu na komplexnější zahrnující nelinearity a model rozhraní elektroda – elektrolyt. Dále bylo provedeno měření signálů na EEG fantomu a následná identifikace parametrů naměřených signálu. V první fázi byly testovány jednoduché signály. Identifikace parametrů těchto signálů sloužila k validaci daného EEG fantomu. V druhé fázi bylo přistoupeno k testování EEG signálů navržených podle matematického Jansenova modelu. Analýza veškerých signálů zahrnuje mimo jiné časově frekvenční analýzu či ověření platnosti principu superpozice.
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Electric brain acticity changes during targeted emotional stimulation evaluated using sLORETA method
Špidlenová, Lada ; Pánek, David (advisor) ; Pavlů, Dagmar (referee)
Name: Electrical cerebral activity changes during targeted emotional stimulation, evaluated by sLORETA Goals: The main goal of this thesis is the comparison of electrical brain activity changes during targeted emotional stimulation. Method: The research was conducted by measuring electrical cerebral activity using Natus Neurology 32-channel Nicolet™EEG Wireless Amplifier 32/64 device. The activity measurements were taken by an EEG Electro-cap with a total of 19 flat registration electrodes (Fp1, Fp2, F7, F3, Fz, F8, T5, T3, C3, Cz, C4, T4, T6, P3, Pz, 36 P4, O1, O2), placed in accord with the internationally used 10-20 system. The impendance resistance did not exceed 10 kΩ, with a sampling frequency of 512 Hz and a bandpass of 0,5-70 Hz. Resulting data was then processed using NeuroGuide programme. A 30s long, zero-artifact EEG section was then chosen to be exported to sLORETA programme. Probands were divided randomly into three research groups - positive, neutral and negative. Each proband was asked to pass the VVIQ imagination vividity questionnaire. In the next phase, each participant was asked to undergo a three week long imagination training programme, consisting of watching VR videos and targeted imaginations of walking, three times a week. While in the VR simulation, music and sound effect...
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Source analysis and comparation of Feldenkrais inspired movement and visual stimulation using sLORETA
Novotná, Tereza ; Pánek, David (advisor) ; Pavlů, Dagmar (referee)
Title of thesis: Source analysis and comparation of Feldenkrais inspired movement and visual stimulation using sLORETA Objectives: The thesis aim is to evaluate intracerebral source activity during a simple arm movement inspired by Feldenkrais method and to compare it with a visual stimulation of the same movement presented in a clip and with an imagination of the same movement. The movement inspired by Feldenkrais method was simplified to a repeated flexion of the dominant arm. Source analysis was evaluated from EEG and processed using sLORETA program, Methods: To obtain the data, experimental group was put together containing 12 participants aged 22-60, (mean = 27.2), both genders included. Participants were subjected to one-off measurement by the EEG instrument. Feldenkrais inspired movement of a flexion of a dominant upper right arm was investigated. The experiment constisted of six parts: 1. native EEG record with eyes closed and open, 2. active flexion of the dominant upper arm with eyes closed, 3. active flexion of the dominant upper arm with eyes opened, 4. watching video presenting repeated upper arm flexion, 5. dominant upper arm flexion imagination with eyes closed. Every part lasted for two minutes. Between individuals parts was inserted a pause. Obtained EEG data were processed with...
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Data Analysis and Clasification from the Brain Activity Detector
Ullrich, Petr ; Šůstek, Martin (referee) ; Szőke, Igor (advisor)
This thesis deals with the issue of recording brain activity, implementation of its processing, analysis and classification. The OpenBCI hardware is used for recording. I have studied and described necessary information about recording brain activity and OpenBCI project. Design for data set, data processing and thoughts classification was created. Created system allows classification based on recorded brain activity. The neural network was used for classfication, but the success of the recognition of designed classes was not high.
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Source analysis and comparation of Feldenkrais inspired movement and visual stimulation using sLORETA
Novotná, Tereza ; Pánek, David (advisor) ; Pavlů, Dagmar (referee)
Title of thesis: Source analysis and comparation of Feldenkrais inspired movement and visual stimulation using sLORETA Objectives: The thesis aim is to evaluate intracerebral source activity during a simple arm movement inspired by Feldenkrais method and to compare it with a visual stimulation of the same movement presented in a clip and with an imagination of the same movement. The movement inspired by Feldenkrais method was simplified to a repeated flexion of the dominant arm. Source analysis was evaluated from EEG and processed using sLORETA program, Methods: To obtain the data, experimental group was put together containing 12 participants aged 22-60, (mean = 27.2), both genders included. Participants were subjected to one-off measurement by the EEG instrument. Feldenkrais inspired movement of a flexion of a dominant upper right arm was investigated. The experiment constisted of six parts: 1. native EEG record with eyes closed and open, 2. active flexion of the dominant upper arm with eyes closed, 3. active flexion of the dominant upper arm with eyes opened, 4. watching video presenting repeated upper arm flexion, 5. dominant upper arm flexion imagination with eyes closed. Every part lasted for two minutes. Between individuals parts was inserted a pause. Obtained EEG data were processed with...
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Identification of the parameters of an electroencephalographic recording system
Svozilová, Veronika ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
Elektroencefalografický záznamový systém slouží k vyšetření mozkové aktivity. Na základě tohoto vyšetření lze stanovit diagnózu některých nemocí, například epilepsie. Účelem této práce bylo zpracování signálu z toho systému a vytvoření modelového signálu, který bude s reálným signálem porovnán. Uměle vytvořený signál vychází z Jansenova matematického modelu, který byl dále implementován v prostředí MATLAB a rozšířen ze základního modelu na komplexnější zahrnující nelinearity a model rozhraní elektroda – elektrolyt. Dále bylo provedeno měření signálů na EEG fantomu a následná identifikace parametrů naměřených signálu. V první fázi byly testovány jednoduché signály. Identifikace parametrů těchto signálů sloužila k validaci daného EEG fantomu. V druhé fázi bylo přistoupeno k testování EEG signálů navržených podle matematického Jansenova modelu. Analýza veškerých signálů zahrnuje mimo jiné časově frekvenční analýzu či ověření platnosti principu superpozice.
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Acoustic generator for evoked potentials stimulation
Škutková, Helena ; Rampl, Ivan (referee) ; Chmelař, Milan (advisor)
Evoked potentials are electric brain response to external stimulus. They are important diagnostic no visual method in neurology. For their excitation use of different of kinds stimulation, most often: visual, auditory, somatosenzory, olfactory and gustatory. Evoked potentials are objective method for measurement sense perception. This master’s thesis is specialized to auditory evoked potentials and design acoustic generator for their stimulation. Auditory evoked potentials are primary used for objective audiometry, but they have another usage. In the first place, application is specialized on health sector. The aim of this master’s thesis is compact specified medical requirements with available technical resources.
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