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QRS complex detector in ECG signals
Kosíř, Kamil ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
The aim of this thesis is to introduce issues and basic principles of QRS complex detection in ECG signals. This work is separated into several parts. The first part deals with anatomy and functions of the heart, for example the emergence and spread of potentials. The next part includes distribution ECG leads and explanation of ECG signal. Afterwards are described some detectors of QRS complex. The main part of this work is realization of two algorithms implemented in Matlab program. The first detector is based on squaring algorithm and the the second is based on a spreading of the signal into several frequency bands. The effectivness of both detectors is tested on signals from CSE library at the end of the work.
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The principles of software QRS detection
Mosyurchak, Andriy ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The aim of this project is to introduce the methods of software detection in ECG signals. This thesis includes description of electrocardiogram signal and the main components of the ECG. The following describes the basic methods of QRS complexes detection. In this thesis are realized three methods of QRS detection: Pan-Tompkins algorithm, method based on counting zero crossings and technique using adaptive quantized threshold. Methods are realized by program MATLAB and then tested on CSE database.
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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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Correction of baseline wander
Hanzelka, Adam ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The bachelor thesis on the subject correction of drift of the baseline in the ECG signal and methods of its elimination, discusses modification of the ECG signal for possibilities of better diagnostics. The main aim of this work is the utilization of three methods based on filtration, interpolation and a method of authors V. S. Couhan and S. S. Mehta. Handle the problems during the implementation of these methods, attempt to find ideal parameters, compare and assess their effectivity of eliminating the baseline drift.
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ECG Signal Wavelet Filtering
Zahradník, Radek ; Kozumplík, Jiří (referee) ; Smital, Lukáš (advisor)
The aim of this work is introduction to problems about the wavelet transform and then to use this transformation to filter ECG signal disturbed with myopotentials. The first part of this thesis contains basic information about the measurement, waveform and disturbance of ECG signal. The next part describes the method of wavelet transform and its use for the signal filtering The last part describes the practical part of work, where the results of filtering with different filter settings are evaluated, especially the various types of thresholding. At the end of this part is a comparison of results from wavelet and linear filter.
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Multilead decision rules in detection of QRS complexes
Šikner, Tomáš ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
QRS complex is the most significant component of the ECG signal. Detection of the QRS complex is the first step to analyze the ECG signal. It serves as a starting point to measure out of the signal. The single-lead detector and the multi-lead detector are carried out in this work. Both detectors are designed in Matlab. The detectors use the characteristic steep slope of the QRS complex to its detection. The detectors were tested on the CSE database.
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Wavelet Based Filtering of Electrocardiograms
Smital, Lukáš ; Smékal, Zdeněk (referee) ; Halámek, Josef (referee) ; Kozumplík, Jiří (advisor)
This dissertation deals with possibilities of using wavelet transforms for elimination of broadband muscle noise in ECG signals. In this work, the characteristics of ECG signals and particularly the most frequently occurring type of interference are discussed firstly. The theory of wavelet transforms is also introduced and followed by design of the simple wavelet filter and the more sophisticated version with wiener filtering of wavelet coefficients. Next part is devoted to the design of our filter, which is based on wavelet wiener filtering and is complemented by algorithms that ensure full adaptability of its parameters when the properties of the input signal are changing. Suitable parameters of the proposed system are searched automatically and the algorithm is tested on the complete standard electrocardiograms database CSE, where it achieves significantly better results than other published methods.
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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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Biometric fingerprint liveness detection
Váňa, Tomáš ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This master‘s thesis deals with biometric fingerprint liveness detection. The theoretical part of the work describes fingerprint recognition biometric systems, fingerprint liveness detection issues and methods for fingerprint liveness detection. The practical part of the work describes proposed set of discriminant features and preprocessing of fingerprint image. Proposed approach using neural network to detect a liveness. The algorithm is tested on LivDet database comprising real and fake images acquired with tree sensors. Classification performance approximately 93% was obtained.
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Biometric fingerprint identification
Ruttkay, Michal ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
This thesis describes the anatomical characteristics of fingerprints and their applications in identifying the person. The theoretical part describes the importance of papillary lines on fingerprints, statistical analysis and pre-processing of images in particular. The practical section provides the necessary operations to compare fingerprints. The implementation was done in Matlab.
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