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Preprocessing of 1D gel electrophoresis image
Svozilová, Veronika ; Škutková, Helena (referee) ; Vítek, Martin (advisor)
The aim of this work is to propose an algorithm in MATLAB, allowing image processing and evaluation of one-dimensional gel electrophoresis. At first describes the detection of samples based on the horizontal segmentation of electrophoresis gel image, followed by detection of the minimum intensity values of the image, a vertical segmentation and determination of the sample boundaries in the image. The final phase involves testing of the method on publicly available images and evaluation of the results.
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Kinetic analysis of signals from gait laboratory.
Benešovská, Veronika ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
Gait analysis has an irreplaceable meaning in many various fields. Thanks to the Vicon system, which is used in gait laboratory, the movement of individual body parts can be captured. The purpose of this work is to process data records from gait laboratory, and kinetic analysis in Matlab program. The main target of the bachelor thesis is to compare detected values, which were evaluated by kinetic analysis of the data obtained from tested subject during performing the exercise and creating GUI.
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Advanced analysis of signals from gait laboratory.
Húsková, Michaela ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
The aim of the thesis is a realization of advanced analysis of signals from gait laboratory. The introductory part deals with the gait cycle and its relation to the joints kinematic is discussed. Additionally, the work is focused on the description of the gait laboratory and the definition of the indexes in order to quantify patient´s overall gait in kinematic analysis. In the practical part, kinematic data analysis was implemented in the MATLAB environment and the results of healthy individuals and patients with cerebral palsy were compared. Kinematic analysis included peak detection in specific kinematic variables. In the last part a graphical user interface for visualization was implemented.
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Using of visually evoked potentials for assessment of visual acuity
Hnízdilová, Bohdana ; Svozilová, Veronika (referee) ; Mézl, Martin (advisor)
In this thesis is described the usage of visual evoked potentials. The theoretical part describes how evoked potentials are measured and recorded. In this thesis is described the usage of evoked potencials in ophtalmology to determine visual acuity. Furthermore, it explains flash stimuli, onset / offset stimuli, pattern-reversal stimuli, and their responses. Practical part deals with evoked response to pattern-reversal stimuli. Signals from encephalogram electrodes and lux meter were measured using Bitalino device. The signals are processed and evaluated by semi-automatic software, where individual sections of the signal are selected by the user. The output is the epoch of the selected section.
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Finger vein biometry
Stibůrek, Miroslav ; Svozilová, Veronika (referee) ; Mézl, Martin (advisor)
The following work deals with basics of biometrics terms, history of biometrics, and methods of collecting and recognizing human characteristics. The work includes facts about physics, human anatomy and physiology - these elements are necessary for a full understanding of the issue. In order to segment finger vein, a method of pre-processing scanned visual data is devised. A practical part of paper contains a proposal of a device for scanning finger vein using minicomputer Raspberry Pi and its following realization. Database of images is created using realized device and applicability of extracted finger vein for application in biometric systems is discussed.
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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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Sensing eye movement using a device BIOPAC and eyetracker Pupil
Vančurová, Johana ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
This bachelor thesis is focused on investigation of visual reaction time of driver using eye movements acquivition. Eye movements were acquired by Biopac device and eyetracker Pupil. The main aim of this work is to compare results of own experiments with points of reference. Theoretical part dealt with anatomy, physiology of eye and describing characteristics of EOG signals. Practical part included experimental measurements to which a group of probands was involved. In the last part of this work the obtained results were compared with the points of reference.
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Kinetic and kinematic gait analysis using VICON system
Hrdličková, Alžběta ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
The Vicon optoelectronic system can be used to analyze human walking. This measurement greatly helps to diagnose problems with the motion apparatus. This work deals with the use of this system for the measurement of kinematic and kinetic values of joints for lower body model. The main aim of the bachelor thesis is to compare the results of healthy patients and patients with cerebral palsy. The theoretical part deals with the description of the gait cycle from kinematics and kinetics, and also description of the device for the analysis. In the practical part, automatic detection of values is proposed, which were evaluated, compared and discussed in the last part.
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Comparison Of Manual And Automatic Detection Of Muscle Activation Moments
Svozilová, Veronika
Detection of muscle activation moments is very important characteristic of human mobility. Muscle activation is used to describe how muscles work during some action. There are differences between muscle activation of healthy people and people suffering from neurodegenerative diseases or musculoskeletal disorders. The aim of this article is to compare results from manual and automatic detection of muscle activation moments from which driver reaction time is estimated. The main interest of this work is to find out if reaction time of healthy people differs from reaction time of people suffering by Parkinson disease.
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