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Processing of heart sounds signals
Němcová, Simona ; Matějková, Magdaléna (referee) ; Vondra, Vlastimil (advisor)
This bachelor thesis is focused on the heart sound signal. It describes the principles of hear sound formation, measurement methods and especially the analysis of the measured phonocardiography signal. In the practical part of this thesis, the algorithm for detecting the first and the second heart sounds is designed by using MATLAB software. Its principle is realized in finding maximum or center of gravity in the filtered phonocardiography signal.
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Heart Sounds Detector
Hlaváčová, Kristýna ; Králík, Martin (referee) ; Kozumplík, Jiří (advisor)
In this thesis deals with detection of heart sounds in signal. In first half of thesis is discussed anatomy, physiology of cardiovascular system and issue of heart sounds. Afterwards, devices for evalution phonocardigram signals and their analysis are described. Thereafter the work focuseson the algorithm for detection of the first and second heart sound, which was implemented in the MATLAB R2014a environment. In conclusion, there is a summary of the proposed method and statistic evaluation.
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Research of speech features quantifying diadochokinetic (DDK) tasks
Kukučka, Peter ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Speech processing methods were studied to calculate parameters of pacient with Parkinon's disease. Main focus of this work is to examine diadochokinetic (DDK) tests. Algorithm for parameters extraction was proposed. It works in more parts. DC is removed from speech signal, preemphasis aplicated. Envelope of input signal is calculated, peaks of syllables are detected. Parameters and statistical results of Mann-Whitney U~test are calculated from detected peaks. Proposed algorithm is implemented in Matlab.
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QRS Complex Detector
Kubík, Adam ; Provazník, Ivo (referee) ; Smital, Lukáš (advisor)
The aim of my thesis is to introduce issue of detection of QRS complex by squaring and envelope detection. The first part focuses on creation and scanning of heart electrical activity. Afterwards, the most frequent types of disturbance of EKG signal and their filtering are described. The second part is about real application of signal filtration and emphasis of QRS complexes using the methods which are mentioned above. Practical part is externalized in Matlab program. And signals from CSE library are used to test efficiency of the detectors.
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Detection of QRS complex in resting ECG and exercise ECG
Ondráček, Pavel ; Odstrčilík, Jan (referee) ; Kašpar, Jakub (advisor)
This thesis deals with methods for detection of QRS complex in ECG signal. There is described electrical activity of cardiac muscle and the ECG signal itself. There are also described some of the methods for detection of QRS complex and detailed procedure of realization of the two methods in matlab. Also, the efficiency of each method is discussed and compared at the end of the thesis.
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Methods for sleep spindles detection from EEG records
Matoušek, Šimon ; Mézl, Martin (referee) ; Králík, Martin (advisor)
This bachelor work focuses on the detection of sleep spindles in EEG signals. The introductory chapter deals with the EEG signal, describes its components and describes the signal recording process. Explains the term sleep spindle and clarifies polysomnography. In the following chapter, some findings concerning studies that examined and practically used individual methods of sleep spindle detection are summarized in the form of research. The practical part of the work is focused on some sleep spindle detectors. At the end of the work is a comparison of the success of these detectors in comparison with other, previously performed studies. The highest success was achieved with the detector based on signal envelope calculation, where the sensitivity was 56.00 \% and the specificity 55.19 %, and also with the detector using wavelet transforms, where the sensitivity was 81.22 % and the specificity 46.15 %
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QRS Complex Detector
Balík, Zdeněk ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
The subject of the bachelor's thesis called QRS complex detektor is introduction with the basic princips of detection based on exponentiation and envelope of filtred signal. In the first part of this thesis is subscribed the emergence of electrical activity of the heart and the ways of its scanning. Further are in the thesis described characteristics and typical disruptions EKG signal and their filtration. The remaining part is devoted to specific methods of detection of the QRS complex. Practical realization is carried out in the programming environment MATLAB.
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QRS complex detection in long electrograms
Novotná, Petra ; Hejč, Jakub (referee) ; Kozumplík, Jiří (advisor)
This bachelor thesis deals with the detection of the QRS complexes in long electrograms which were acquired by scanning isolated rabbit hearts. The first section of this thesis contains information about general detection principles. Some of those principles are de- scribed into details in the fourth chapter. The practical part consists of: the introduction of processed data, the description of specific algorithms used while solving the task and the realisation of those algorithms in the language of technical computing (MATLAB).
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Methods for sleep spindles detection from EEG records
Matoušek, Šimon ; Mézl, Martin (referee) ; Králík, Martin (advisor)
This bachelor work focuses on the detection of sleep spindles in EEG signals. The introductory chapter deals with the EEG signal, describes its components and describes the signal recording process. Explains the term sleep spindle and clarifies polysomnography. In the following chapter, some findings concerning studies that examined and practically used individual methods of sleep spindle detection are summarized in the form of research. The practical part of the work is focused on some sleep spindle detectors. At the end of the work is a comparison of the success of these detectors in comparison with other, previously performed studies. The highest success was achieved with the detector based on signal envelope calculation, where the sensitivity was 56.00 \% and the specificity 55.19 %, and also with the detector using wavelet transforms, where the sensitivity was 81.22 % and the specificity 46.15 %
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Detection of QRS complex in resting ECG and exercise ECG
Ondráček, Pavel ; Odstrčilík, Jan (referee) ; Kašpar, Jakub (advisor)
This thesis deals with methods for detection of QRS complex in ECG signal. There is described electrical activity of cardiac muscle and the ECG signal itself. There are also described some of the methods for detection of QRS complex and detailed procedure of realization of the two methods in matlab. Also, the efficiency of each method is discussed and compared at the end of the thesis.
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