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Electrocardiogram processing
Miščík, Peter ; Kolářová, Jana (referee) ; Ronzhina, Marina (advisor)
The topic of this bachelor's thesis is electrocardiogram (ECG) processing using LabView. The main part of a program for processing the ECG, particular suppressing various noises and detection R-peaks, is created in LabView environment. Used components and realization of individual parts of program are described in manual, achieved results are shown in pictures.
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Muscle noise filtering in ECG signals
Fedorov, Vasilii ; Smíšek, Radovan (referee) ; Smital, Lukáš (advisor)
This work deals with problematic of muscle noise filtration in ECG signals. It contains theoretical and practical parts. In theoretical part we first mentioned a topicality of ECG scanning and filtration. Then we got acquainted with the origin of ECG, it's properties, and types of noises, that typically occurring there. Further different known methods of linear and non-linear techniques in EMG filtration were discussed. After we got acquainted with wavelet transform and its possibilities practical part was carried out in environment MATLAB 2020b®. Wiener wavelet filter was implemented and supplemented by a threshold adaptive function. Parameters were optimized with brute force method in reduced range. The evaluation of the filter took place on a CSE database, where the results were compared with the authors of other methods. In result the filter shows good filtration capabilities and stability.
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Muscle noise filtering in ECG signals
Fedorov, Vasilii ; Smíšek, Radovan (referee) ; Smital, Lukáš (advisor)
This work deals with problematic of muscle noise filtration in ECG signals. It contains theoretical and practical parts. In theoretical part we first mentioned a topicality of ECG scanning and filtration. Then we got acquainted with the origin of ECG, it's properties, and types of noises, that typically occurring there. Further different known methods of linear and non-linear techniques in EMG filtration were discussed. After we got acquainted with wavelet transform and its possibilities practical part was carried out in environment MATLAB 2020b®. Wiener wavelet filter was implemented and supplemented by a threshold adaptive function. Parameters were optimized with brute force method in reduced range. The evaluation of the filter took place on a CSE database, where the results were compared with the authors of other methods. In result the filter shows good filtration capabilities and stability.
|
|
|
Electrocardiogram processing
Miščík, Peter ; Kolářová, Jana (referee) ; Ronzhina, Marina (advisor)
The topic of this bachelor's thesis is electrocardiogram (ECG) processing using LabView. The main part of a program for processing the ECG, particular suppressing various noises and detection R-peaks, is created in LabView environment. Used components and realization of individual parts of program are described in manual, achieved results are shown in pictures.
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