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QRS complex detection in multilead ECG signals
Šlancar, Matěj ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The aim of this thesis is to introduce the principles of software QRS detection, which is based on different combinations of orthogonal (pseudoorthogonal) leads. The thesis describes the main components of the ECG signal, a selection of methods that can be used for QRS detection in orthogonal leads and finally the evaluation of the effectiveness of the chosen methods and a comparing the approaches with the results of other authors. Functionality of detection algorithm has been tested on signals of CSE standard library.
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QT interval measurement in electrograms
Ondráček, Vladimír ; Vítek, Martin (referee) ; Kolářová, Jana (advisor)
This diploma thesis focuses on determination of the QT interval in ECG. The thoretical part desribes physiology of the heart, electronic activity of the heart and possible methods of ECG measurement. The theoretical part also describes methods of signal processing, the processed signal is then used for determination of the QT interval. The practical part focuses on two chosen methods of QT interval determination and on implementation of the methods in a computer program. The results part is evaluation of measured QT intervals and a comparision of the results with reference values.
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Detection of QRS complex using leads transformation
Nerušil, Václav ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The aim of this bachelor’s thesis is to become familiar with methods of detection of the QRS complex and the one chosen detection method realize by the Matlab. The detection of QRS is tested on a database CSE and the results are compared with other methods. The second part of this thesis is devoted to the theory of transformation methods leads and their use to increase the success of QRS detection.
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Wavelet transform-based QRS complex detector
Nagyová, Lenka ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This work aims to solve problems of ECG signal, or QRS complex and its detection. For understanding the activity of the heart and ECG it is necessary to describe the anatomy of the heart and all processes that are at the heart. Next part of the work is dedicated to the detection of the QRS complex. The greatest attention has the wavelet transform, which will be used in the implementation of the detector. This paper focuses on the following issues: the construction of the detector, options, use of the transform in Matlab. In the end, the results of this work, are evaluated.
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QRS Complex Detection Using Wavelet Transform
Loviška, David ; Čech, Petr (referee) ; Smital, Lukáš (advisor)
The aim of diploma thesis named “QRS detection using wavelet transform” is to simplify and accelerate the work of doctors. This can be achieved by using application for QRS detection, which can use one of four proposed algorithms. Application shows basic informations about inserted electrocardiogram. Part of this program is a graphical window with displayed record and with coloured marks on detected QRS complexes. By another algorythm are marks color-coded due to accurancy percentil of every detected complex. This program is designed for a several hours record from Holter ECG monitoring.
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Detection of atrial fibrillation using ECG Signals
Běhunčíková, Vendula ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
Atrial fibrillation is one of the most common cardiac rhythm disorders. The prevalence of atrial fibrillation is reported at 1-6 % of the adult population. The chances of developing atrial fibrillation increase with age. An early detection of this arrhythmia is a key to prevent more serious conditions. Many ways have been found to detect atrial fibrillation episodes in ECG including deep learning methods. The aim of this bachelor’s thesis is to describe the problem of atrial fibrillation and the methods used for detection in the ECG record, design an atrial fibrillation detector and test its results. Detector is implemented using a Matlab R2020b software.
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Detection of atrial fibrillation using ECG Signals
Běhunčíková, Vendula ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
Atrial fibrillation is one of the most common cardiac rhythm disorders. The prevalence of atrial fibrillation is reported at 1-6 % of the adult population. The chances of developing atrial fibrillation increase with age. An early detection of this arrhythmia is a key to prevent more serious conditions. Many ways have been found to detect atrial fibrillation episodes in ECG including deep learning methods. The aim of this bachelor’s thesis is to describe the problem of atrial fibrillation and the methods used for detection in the ECG record, design an atrial fibrillation detector and test its results. Detector is implemented using a Matlab R2020b software.
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QRS complex detection in multilead ECG signals
Šlancar, Matěj ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The aim of this thesis is to introduce the principles of software QRS detection, which is based on different combinations of orthogonal (pseudoorthogonal) leads. The thesis describes the main components of the ECG signal, a selection of methods that can be used for QRS detection in orthogonal leads and finally the evaluation of the effectiveness of the chosen methods and a comparing the approaches with the results of other authors. Functionality of detection algorithm has been tested on signals of CSE standard library.
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Wavelet transform-based QRS complex detector
Nagyová, Lenka ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This work aims to solve problems of ECG signal, or QRS complex and its detection. For understanding the activity of the heart and ECG it is necessary to describe the anatomy of the heart and all processes that are at the heart. Next part of the work is dedicated to the detection of the QRS complex. The greatest attention has the wavelet transform, which will be used in the implementation of the detector. This paper focuses on the following issues: the construction of the detector, options, use of the transform in Matlab. In the end, the results of this work, are evaluated.
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Detection of QRS complex using leads transformation
Nerušil, Václav ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The aim of this bachelor’s thesis is to become familiar with methods of detection of the QRS complex and the one chosen detection method realize by the Matlab. The detection of QRS is tested on a database CSE and the results are compared with other methods. The second part of this thesis is devoted to the theory of transformation methods leads and their use to increase the success of QRS detection.
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