National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
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.
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.
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.
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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