National Repository of Grey Literature 8 records found  Search took 0.00 seconds. 
ECG baseline wander correction based on the empirical mode decomposition
Šlancar, Matěj ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The aim of this thesis is to introduce with principle of Empirical Mode Decomposition method and possibility use for correction of baseline wander in ECG signals. The thesis describes the main components of the ECG signal, a selection of possible types of signal noise, its property and principles of chosen methods for filtration of ECG signals. In conclusion the evaluation of the effectiveness of the EMD method for filtering a baseline wander and it comparing with effectiveness of the linear filtration. Functionality of used algorithms has been tested on signals of CSE standard library.
Noise suppression in ECG signal based on the empirical mode decomposition
Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion.
Simple wavelet filter of ECG signals
Doležel, Jiří ; Ronzhina, Marina (referee) ; Smital, Lukáš (advisor)
The work deals with wavelet transfom and its possibilities of using it for elimination muscle noise from ECG signals. The first part of this thesis describes basic properties of ECG signal, the most common types of noise and describes basic types of wavelet transform, which are used for filtering the signals. Others parts describe a process of ECG signals wavelet filter design and afterwards the most appropriate setting are described. Finally results of filtration are evaluated, based on improved SNR, and compared with other author’s results.
Simple speech recognition algorithm for microcontroller
Vedra, Lukáš ; Šrámek, Petr (referee) ; Fedra, Zbyněk (advisor)
The bachelor thesis deals with speech recognition commands on the microcontroller Atmel AVR family. The thesis describes methods of recognition, influence of a sampling frequency selection, lengths of a sequence used, and a number of possible orders with respect to computing speed and memory capacity of the microcontroller. Furthermore, successful acquisition of orders is tested. It also discusses comparison options of an imprint saved in a dictionary command, or more precisely in a database of the microcontroller and a word which has just been uttered. The work also deals with a mechanical system design of the device.
Noise suppression in ECG signal based on the empirical mode decomposition
Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion.
ECG baseline wander correction based on the empirical mode decomposition
Šlancar, Matěj ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The aim of this thesis is to introduce with principle of Empirical Mode Decomposition method and possibility use for correction of baseline wander in ECG signals. The thesis describes the main components of the ECG signal, a selection of possible types of signal noise, its property and principles of chosen methods for filtration of ECG signals. In conclusion the evaluation of the effectiveness of the EMD method for filtering a baseline wander and it comparing with effectiveness of the linear filtration. Functionality of used algorithms has been tested on signals of CSE standard library.
Simple wavelet filter of ECG signals
Doležel, Jiří ; Ronzhina, Marina (referee) ; Smital, Lukáš (advisor)
The work deals with wavelet transfom and its possibilities of using it for elimination muscle noise from ECG signals. The first part of this thesis describes basic properties of ECG signal, the most common types of noise and describes basic types of wavelet transform, which are used for filtering the signals. Others parts describe a process of ECG signals wavelet filter design and afterwards the most appropriate setting are described. Finally results of filtration are evaluated, based on improved SNR, and compared with other author’s results.
Simple speech recognition algorithm for microcontroller
Vedra, Lukáš ; Šrámek, Petr (referee) ; Fedra, Zbyněk (advisor)
The bachelor thesis deals with speech recognition commands on the microcontroller Atmel AVR family. The thesis describes methods of recognition, influence of a sampling frequency selection, lengths of a sequence used, and a number of possible orders with respect to computing speed and memory capacity of the microcontroller. Furthermore, successful acquisition of orders is tested. It also discusses comparison options of an imprint saved in a dictionary command, or more precisely in a database of the microcontroller and a word which has just been uttered. The work also deals with a mechanical system design of the device.

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