National Repository of Grey Literature 70 records found  beginprevious21 - 30nextend  jump to record: Search took 0.01 seconds. 
Measurement and analysis of ECG signal
Černohous, Lukáš ; Vítek, Martin (referee) ; Harabiš, Vratislav (advisor)
In the first part, this thesis focuses on theoretical knowledge about ECG signal generation, its measuring and filtration. Furthermore it examines the R-wave as the most significant portion of the QRS Complex, describes the LabVIEW environment and the Vernier LabPro interface. The second part of the thesis then shows one of the possible ways of the R-wave detection and the subsequent heart rate measurement, which is then implemented by a program designed in LabVIEW environment. In the conclusion, the results of the thesis are evaluated.
Analysis of the characteristics of QRS complex in normal and high-frequency electrocardiogram recording
Měsíčková, Klára ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This work introduces and evaluates methods for normal and high-frequency electrocardiogram depending on the potential clinical use for the evaluation of abnormalities in cardiac ischemia. The first part is devoted to the creation and scanning cardiac activity. Subsequently are described in the text abnormality ST segment and QRS complex in the low-and high-frequency electrocardiogram. In the second part of the statistical processing of data of healthy subjects and patiens and compared the results for different frequency bands.
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.
QRS detection in ECG signals
Kuna, Zdeněk ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
This project considers methods of construction QRS detectors. It focus in detection complexes of QRS single leads and space speed, which are calculated from three orthogonal leads. In theory was refer to various methods, which lead to design detector. It were designed two algoritms (constant and adaptive detecting threshold), which were implemented into detector and the signal was preprocessed by Hilbert transformation. Toward algoritms were completed by modification, which improved detection effectivity. Function of algoritms were tested in all signals of CSE (V2,V5,aVF).
Modern methods of QRS detection
Fajkus, Jiří ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor’s thesis deals with methods, which are used for processing of ECG signals, specifically for the detection of QRS complexes. The QRS detection is an essential part of every ECG analysis because it is a source of points with timing information, which are used for classification and measurement of other waves and intervals required for diagnostics. Some ways of QRS detection are described in this work and there is also a description of detector implemented in programming environment MATLAB, which is based on zero crossing counts. This QRS detector was then tested CSE database and signals from Holter examination.
Detection of QRS complex using leads transformation
Grossmann, David ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
The aim of this bachelor 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 CSE database and the results are compared with other methods. The last part of this thesis is concerned with transformation leads methods between different lead systems.
Automatic detection of heart pathologies using high-frequency components of QRS complex
Daňová, Ľudmila ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The aim of this thesis is to analyse high-frequency ECG to detect some heart diseases. This is performed with averaging of selected QRS complexes for each lead of the signal; these are thenfilteredin range 500-1 000 Hz. After that the envelope of the signal is done and here the peaks are detected. Based on mutual positions of this peaks, it is possible to detectwhat kind od signal we treat.
QRS complex detection in electrograms
Mahdalová, Kateřina ; Chrobák, Martin (referee) ; Kozumplík, Jiří (advisor)
This work deals with QRS complex detection in isolated rabbit´s heart. In first part of the work is a description of human electrogram and summary of selected methods of QRS detection. In the practical part detectors which were implemented in Matlab are presented. It is followed by a statistical analysis of the acquired results and their respective interpretation.
Expert System for Detection of Ventricular Extrasystoles
Svánovská, Zuzana ; Mézl, Martin (referee) ; Sekora, Jiří (advisor)
Ventricular premature beats are ectopic changes in the ECG signal. Detection of ventricular extrasystoles on 12leads ECG was created in MATLAB. At first my work involves whether the ventricular premature beats comes from the right or the left ventricle. Another algorithm evaluates the incidence outflow tract of the chamber. If the previous algorithm shows signs of indecision, another algorithm is used for detection of ventricular extrasystoles at another location in the left ventricle. The last step is to narrow the area of detection which makes it easier to find the place of origin.
Measure of EKG signals and design of software QRS detection
Handl, Marek ; Kolář, Radim (referee) ; Kuna, Zdeněk (advisor)
This work deals with the ECG signal detector and the implementation of the QRS complex. The paper briefly describes the anatomy of the heart, the emergence and spread of potentials that are evoked activity myocard. It follows introduction to the methods reading of ECG signals and the possibility of automatic classification of rhythm. The thesis also describes some of QRS detection algorithms and database PhysioNet, which includes a library of physiological signals. Finally are given the possibility of a computer system Biopac which is used for measuring biological signals. The second part focuses on the design of an algorithm of QRS complex detection and classification of the basic rhythm in the Matlab environment. The detector is tested on both test data, and the signals measured Biopac system. The work is also very effective optimization of the detector.

National Repository of Grey Literature : 70 records found   beginprevious21 - 30nextend  jump to record:
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