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Measure of EKG signals and design of software QRS detection
Handl, Marek ; Kolář, Radim (referee) ; Kuna, Zdeněk (advisor)
This work deals with the ECG signal detector and the implementation of the QRS complex. The paper briefly describes the anatomy of the heart, the emergence and spread of potentials that are evoked activity myocard. It follows introduction to the methods reading of ECG signals and the possibility of automatic classification of rhythm. The thesis also describes some of QRS detection algorithms and database PhysioNet, which includes a library of physiological signals. Finally are given the possibility of a computer system Biopac which is used for measuring biological signals. The second part focuses on the design of an algorithm of QRS complex detection and classification of the basic rhythm in the Matlab environment. The detector is tested on both test data, and the signals measured Biopac system. The work is also very effective optimization of the detector.
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Wavelet Filtering of ECG Signals
Handl, Marek ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The work deals with the wavelet transformation, focusing on wavelet transforms with discrete time (DTWT). The practical part is focused on the implementation of redundant packet DTWT and its use in the filtration of ECG signals. The main part of the work is to design wiener filter that uses redundant packet DTWT, designed to eliminate interference myopotentials of ECG signals. The actual solution is implemented in Matlab. Testing is performed on the library CSE using noise model myopotentials used to noising original signals. For optimum parameters designed filter is used the genetic algorithm (GA). The work is carried out comparing the proposed filter redundant packet DTWT a variant of redundant dyadic DTWT.
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Measure of EKG signals and design of software QRS detection
Handl, Marek ; Kolář, Radim (referee) ; Kuna, Zdeněk (advisor)
This work deals with the ECG signal detector and the implementation of the QRS complex. The paper briefly describes the anatomy of the heart, the emergence and spread of potentials that are evoked activity myocard. It follows introduction to the methods reading of ECG signals and the possibility of automatic classification of rhythm. The thesis also describes some of QRS detection algorithms and database PhysioNet, which includes a library of physiological signals. Finally are given the possibility of a computer system Biopac which is used for measuring biological signals. The second part focuses on the design of an algorithm of QRS complex detection and classification of the basic rhythm in the Matlab environment. The detector is tested on both test data, and the signals measured Biopac system. The work is also very effective optimization of the detector.
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|
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Wavelet Filtering of ECG Signals
Handl, Marek ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The work deals with the wavelet transformation, focusing on wavelet transforms with discrete time (DTWT). The practical part is focused on the implementation of redundant packet DTWT and its use in the filtration of ECG signals. The main part of the work is to design wiener filter that uses redundant packet DTWT, designed to eliminate interference myopotentials of ECG signals. The actual solution is implemented in Matlab. Testing is performed on the library CSE using noise model myopotentials used to noising original signals. For optimum parameters designed filter is used the genetic algorithm (GA). The work is carried out comparing the proposed filter redundant packet DTWT a variant of redundant dyadic DTWT.
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