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Linear and Adaptive Filters for ECG Signals
Kubát, Milan ; Lamoš, Martin (referee) ; Kozumplík, Jiří (advisor)
In this work, I deal with ECG signal interference suppression using linear and adaptive filters. This falls in field of signal preprocessing. The aim is to properly filter the signal, while maintaining its diagnostic value. I designed filters based on spectral lines resetting, Lynn’s filters and two types of adaptive filters. In the next part, results of different filtering ways are compared.
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Removing baseline wander in ECG with empirical mode decomposition
Procházka, Petr ; Kolářová, Jana (referee) ; Kubičková, Alena (advisor)
In this semestral thesis, realizations of chosen linear filters for baseline wander are described. These filters are then used on artificial ECG signals from CSE database with added baseline wander. These methods are compared and results are evaluated. After that, literature search of Empirical mode decomposition method is utilized. Realization of designed filters in MATLAB programming language are described, then results are evaluated with respect to filtration success.
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Narrow Band Filtering of ECG Signals
Němeček, Tomáš ; Walek, Petr (referee) ; Kozumplík, Jiří (advisor)
Main objective of this bachelors thesis, was to learn about issues and possibilities of ECG filtration. This thesis is focused on narrowband filtration by Lynn’s filters. The objective for this thesis was to design filters for filtration of interferences called drift and brum. Both of them should not affect the relevant part of signal.
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Narrow Band Filtering of ECG Signals
Němeček, Tomáš ; Walek, Petr (referee) ; Kozumplík, Jiří (advisor)
Main objective of this bachelors thesis, was to learn about issues and possibilities of ECG filtration. This thesis is focused on narrowband filtration by Lynn’s filters. The objective for this thesis was to design filters for filtration of interferences called drift and brum. Both of them should not affect the relevant part of signal.
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Linear and Adaptive Filters for ECG Signals
Kubát, Milan ; Lamoš, Martin (referee) ; Kozumplík, Jiří (advisor)
In this work, I deal with ECG signal interference suppression using linear and adaptive filters. This falls in field of signal preprocessing. The aim is to properly filter the signal, while maintaining its diagnostic value. I designed filters based on spectral lines resetting, Lynn’s filters and two types of adaptive filters. In the next part, results of different filtering ways are compared.
|
|
|
Removing baseline wander in ECG with empirical mode decomposition
Procházka, Petr ; Kolářová, Jana (referee) ; Kubičková, Alena (advisor)
In this semestral thesis, realizations of chosen linear filters for baseline wander are described. These filters are then used on artificial ECG signals from CSE database with added baseline wander. These methods are compared and results are evaluated. After that, literature search of Empirical mode decomposition method is utilized. Realization of designed filters in MATLAB programming language are described, then results are evaluated with respect to filtration success.
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