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Analysis of the galvanic skin response
Caha, Martin ; Chmelař, Milan (referee) ; Ronzhina, Marina (advisor)
This work deals with the analysis of skin conductance for the study of the psychophysiological state of man, with a focus on the change in the level of arousal. It is important to study microsleep events during driving, where there are the changes in alertness and consequently the changes in skin conductivity. The experimental protocol is proposed. Skin conductance analysis is realized in Matlab. This program allows drowing reaction time and measured conductivities and calculating their parameters. These data are used for determination of vigilance level.
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The skin conductivity and its use in clinical practice
Javorčeková, Lenka ; Kozumplík, Jiří (referee) ; Nováková, Zuzana (advisor)
The aim of bachelor thesis is to acquaint with the measurement of the skin conductivity and its use in a clinical practice. The applied protocol is based on a current measurement of the skin conductivity in the resting and stressful conditions. The endurance previsions were created through listening to the most favourite and the most unpopular songs. This fact was detected before the measurement on the ground of completed questionnaires.
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Physiological Data to Analyze and Improve the User Experience
Štěpánek, Daniel ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
The goal of this thesis is to obtain dataset of physiological data for user emotions in order to analyze and improve human-computer interaction. This paper proposes of the use Empatica wristband to capture physiological data and Python for data processing. After evaluation, 94 % of intact data was obtained from the expected number of samples. Based on the obtained data, it is possible to better analyze the user experience and thus improve it.
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Measurement of the galvanic skin response during repeated stimulus
Fabík, Vojtěch ; Chmelař, Milan (referee) ; Ronzhina, Marina (advisor)
The aim of this work was introducing with the metods of analysis of galvanic skin response. The protocol for measurement of galvanic skin response during repeate stimulus was developed. Several stimulus were included in study. Then the program withgraphical user interface for analysis selected parameters was created in Matlab. Effect of habituation on repeated answers on the stimulus was described. Habituation was analized using parameters derived from electrical skin response.
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Suppression of the responsive component of electrodermal activity
Vraný, Jakub ; Vičar, Tomáš (referee) ; Kolářová, Jana (advisor)
Electrodermal acitivity is a kind of electrochemical signal generated with relation to activity of the autonomic nervous system that stimulates the sweat glands. In this way, is it possible to measure the activity of the sympathetic part of the nerve systém and evaluate the cognitive stress of the treated person, which is manifested by responsive signals in EDA record, respectively to increased occurence of responses. The aim of this work is to design a deep learning algorithm for the identification of this component in the record of data taken from UBMI database. The recordings contain a sequence of measurements the conductance of the skin of patient, who was subjected alternately to the states of rest and subsequently a state of mental stress. The data were annotated according to presence of the responsive components occuring in the records of EDA. Subsequently, a suitable deep learning algorithm was implemented in order to classify the responsive components in the measured EDA signal. The neural network model has been taught, optimized and implemented on the measurement samples using annotated data. The obtained results data were statistically evaluated to qualify the success of the classification of responsive components and differences in the records of mental calm and stress. The results of the classification and comparison of EDA records measured at different conditions of the patient were discussed subsequently.
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Module for Electrodermal Activity recording
Vičar, Tomáš ; Harabiš, Vratislav (referee) ; Bubník, Karel (advisor)
This thesis describes electrodermal activity (EDA) and its origin based on the properties of the skin and thermoregulation of body. EDA is a signal having a close relationship to psychophysiology and its help we can evaluate a variety of emotional, motoric and attentional effects on the human organism. The thesis also discusses the possibility of sensing skin potential and conductatce and how to construct a module for its scanning and uploading to computer.
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Novel methods for sleep analysis and classification
Navrátilová, Markéta ; Ronzhina, Marina (referee) ; Kolářová, Jana (advisor)
Tato diplomová práce se zabývá metodami pro analýzu a klasifikaci spánku. Popisuje jakjednotlivé spánkové fáze a vzorce biosignálů v průběhu spánku, tak metody pro klasifi-kaci. Příznaky jsou extrahovány na dodaných biosignálech ECG, EDA a RIP. Na základětěchto příznaků jsou klasifikovány jednotlivé spánkové fáze s využitím klasifikátoru ná-hodný les. Parametry klasifikátoru jsou optimalizovány a následně jsou vyhodnocenydosažené výsledky. Pomocí metod pro redukci dimenzionality je soubor příznaků analy-zován a výsledky jsou porovnány s výsledky ze standardní klasifikace. Řešení pro vizuali-zaci jak samotných nezpracovaných signálů, tak extrahovaných příznaků je navrhnuto aimplementováno. Dosažené výsledky jsou porovnány s publikovanými metodami.
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Tvorba metodiky pre výber zamestnancov s využitím merenia elektrodermálnej aktivity so zameraním na kariérnu orientáciu a motiváciu
Slivoňová, Lucia
Slivoňová, L. Creation of a methodology for employee selection using electrodermal activity measurement with a focus on career orientation and motivation. Brno: Mendel University in Brno, 2023. This thesis deals with the development of a new methodology for the se-lection of employees for employment and examines the actual motivation and orientation of employees; emphasis is also placed on personality traits. The rese-arch is conducted using a neuromarketing tool, electrodermal activity, which me-asures skin activity and is complemented by traditional methods. The literature review describes consumer neuroscience, neuromarketing, personality theory, and work motivation and orientation. The analytical part focuses on the analysis of personality and motivation, the analysis of the questionnaire survey and the measurement of electrodermal activity, and finally the overall linking of the results of the analyses into a whole.
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Psychophysiological correlates induced by visual food stimuli during hunger and satiety
Schlezingerová, Nicol ; Telenský, Petr (advisor) ; Landová, Eva (referee)
Obesity and its increasing prevalence contribute to the development of diseases of affluence, including type 2 diabetes, metabolic syndrome, and several cardiovascular, oncological and neuropsychiatric diseases. Therefore, it is important to understand the mechanism of food intake at the behavioural level, including the influence of maladaptive factors, such as the frequent exposure to visual high-calorie food stimuli in modern society. In this work, changes in visual attention and selected psychopphysiological correlates (electrodermal activity and salivary biomarkers alpha-amylase and cortisol) in response to visual food stimuli were investigated in healthy, adult non-obese (BMI < 25) volunteers of both sexes. We investigated changes of psychophysiological correlates like visual attention, electrodermal activity and salivary biomarkers (alpha-amylase and cortisol) in response to visual food stimuli in healthy, adult, non-obese (BMI < 25) volunteers of both sexes. Experiment started with questionnaire for self measuring hunger and satiety, saliva sampling and then subject were instructed for presentation of visual food cues of three categories - high-calorie, low-calorie and non-food - they were presented to the subjects on a computer screen. Visual attention to the stimuli was determined using...
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Suppression of the responsive component of electrodermal activity
Vraný, Jakub ; Vičar, Tomáš (referee) ; Kolářová, Jana (advisor)
Electrodermal acitivity is a kind of electrochemical signal generated with relation to activity of the autonomic nervous system that stimulates the sweat glands. In this way, is it possible to measure the activity of the sympathetic part of the nerve systém and evaluate the cognitive stress of the treated person, which is manifested by responsive signals in EDA record, respectively to increased occurence of responses. The aim of this work is to design a deep learning algorithm for the identification of this component in the record of data taken from UBMI database. The recordings contain a sequence of measurements the conductance of the skin of patient, who was subjected alternately to the states of rest and subsequently a state of mental stress. The data were annotated according to presence of the responsive components occuring in the records of EDA. Subsequently, a suitable deep learning algorithm was implemented in order to classify the responsive components in the measured EDA signal. The neural network model has been taught, optimized and implemented on the measurement samples using annotated data. The obtained results data were statistically evaluated to qualify the success of the classification of responsive components and differences in the records of mental calm and stress. The results of the classification and comparison of EDA records measured at different conditions of the patient were discussed subsequently.
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