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ECG and PPG derived respiration estimation
Chmela, Radek ; Smital, Lukáš (referee) ; Králík, Martin (advisor)
This work deals with the estimation of the respiratory curve from ECG and PPG signals. The first part deals with the description and monitoring of electrical activity of the heart, physiology and methodology of respiratory sensing and photoplethysmography. The second part deals with methods of extracting respiratory cycle information from ECG and PPG recordings. The third part deals with the algorithmic implementation and evaluation of individual procedures for estimating the breath curve from both of the above-mentioned signals on records from the web PhysioNet. In the last part, the algorithms are compared and evaluated.
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Analysis of difference between HRV parameters gained from PP and RR intervals
Svobodová, Sabina ; Janoušek, Oto (referee) ; Milek, Jakub (advisor)
This bachelor thesis aims to solve problems of ECG signals, respectively detection of QRS complex and P wave, and subsequent analysis of heart rate variability. The first part is focused on literary research. It deals with the heart anatomy, electrocardiography and more detailed description of individual waves, as well as with the pre-processing of ECG signal, QRS complex detection and P wave detection. The last theoretical part describes the analysis of heart rate variability. In the practical part detection of QRS complex, P wave and subsequent analysis of heart rate variability is programmed in MATLAB. Finally, statistical evaluation is performed in STATISTICA.
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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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ECG signals compression
Botlová, Simona ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This bachelor thesis deals with the compression of ECG signals using wavelet transform and run length encoding. The principles of electrocardiography, compression methods, wavelet transform and run length encoding are described in this thesis. There was created a program to compress and decompress ECG signals in MATLAB interface. The wavelet transform settings and their influence on compress ratio and percentage root mean square difference were tested. Subsequently, the appropriate adjustment of algoritm was found and it was used on CSE database compression.
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ECG quality evaluation
Bracková, Michaela ; Němcová, Andrea (referee) ; Smital, Lukáš (advisor)
This diploma thesis deals with the topic of the ECG quality evaluation. The theoretical part of the thesis contains an overview of the methods, which were studied and an explanation of the basic principles connected with the quality evaluation of the ECG signals. The practical part deals with the implementation of three selected methods, one of which is the continuous evaluation of signal quality by means of SNR (signal to noise ratio) calculation. The results of these methods are further discussed and compared.
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ECG quality estimation
Pospíšil, Jan ; Smíšek, Radovan (referee) ; Smital, Lukáš (advisor)
This bachelor thesis deals with the question of estimation of the quality of the ECG signals, which is a key parameter for determining the diagnosis. The theoretical part deals with the basic knowledge concerning cardiac physiology, electrocardiography and finally the types of interferences that can occur during the measurement. The following practical part will deal with the published methods and the proposal of methods for estimating signal quality and their testing on artificial and real data.
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Deep learning based QRS delineator
Malina, Ondřej ; Hejč, Jakub (referee) ; Smíšek, Radovan (advisor)
This thesis deals with the issue of automatic measurement of the duration of QRS complexes in ECG signals. Special emphasis is then placed on the possibility of automatic detection of QRS complexes while exciting cardiac tissue with a pacemaker. The content of this work is divided into four logical units, where the first part deals with the heart as an organ. It describes the origin and spread of excitement in the heart, its possible pathologies and their manifestations in ECG recording, it also deals with pacing and measuring ECG recording during simultaneous pacing. The second part of the thesis contains a brief introduction to the topic of machine and deep learning. The third part of the thesis contains a search of current approaches using methods based on deep learning to solve the detection of QRSd. The fourth part deals with the design and implementation of its own model of deep learning, able to detect the beginnings and ends of QRS complexes from ECG recordings. It describes the data preprocessing implemented in the MATLAB programming environment. The actual implementation of the model was performed in the Python using the PyTorch and NumPy moduls.
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Time Varying Filters for ECG Signals
Peterek, Jan ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
The aim of this master’s thesis is to create a multiband stop derived from Lynn filters for suppressing mains hum and baseline variation (drift). The first part of the thesis is focused on brief theoretical introduction to the distortion types affecting ECG signal and twelve lead connection. The following practical part describes free realizations of ECG filter and ECG signal filtration. The filter has been tested both on distorted and on non-distorted signal. Finally filters’ error rate was computed from CSE database signals.
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Load effect on baroreflex sensitivity
Kamenec, Jan ; Čmiel, Vratislav (referee) ; Kolářová, Jana (advisor)
KAMENEC, J. Load effect on baroreflex sensitivity. Brno: Brno University of technology, Faculty of electrical engineering and communication, 2008. 52 p. Supervisor of bachelor’s thesis Ing. Jana Bardoňová, Ph.D. The aim of this baccalaureate thesis was study problems of the metering baroreflex and verify, whether the physical stress affects baroreflex sensitivity. The metering proceeded on the computer system Biopac, in which was projected the record of the metering. For the calculation was elected noninvasion spectral method. Measuring data by the computer system Biopac were processed by the help of the Matlab program that worked out found dependencies.
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Segmentation of ECG signals based on their quality
Zobačová, Barbora ; Maršánová, Lucie (referee) ; Vítek, Martin (advisor)
This semestral thesis deals with methods for continuous estimation of the quality of the ECG signal. The theoretical part includes the functional anatomy of the heart, the basics of electrocardiography, the types of noise that can be found in the ECG records, and a description of several methods for the continuous estimation of the ECG signal quality. Next here are some approaches to segmenting ECG signals based on their quality. The practical part deals with the implementation of two methods. The first method is the SNR estimation method based on the Wiener filter. The second method is the method of segmentation of ECG signals based on their quality. Both methods were tested on artificial and real signals.
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