National Repository of Grey Literature 15 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Delineation of experimental ECG data
Hejč, Jakub ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This thesis deals with a proposition of an algorithm for QRS complex and typical ECG waves boundaries detection. It incorporates a literature research focused on heart electrophysiology and commonly used methods for ECG fiducial points detection and delineation. Out of the presented methods an algorithm based on a continuous wavelet transform is implemented. Detection and delineation algorithm is tested on CSE standard signal database towards references determined both manually and automatically. Obtained results are compared to other congenerous methods. The diploma thesis is further concerned with an algorithm modification for experimental electrocardiograms of isolated rabbit hearts. Recording specifics of these data are introduced. Additionally, based on time and frequency analysis, particular modifications of the algorithm are proposed and realized. Due to a large extent of records functionality is verified on randomly selected database samples. Efficiency of the modified algorithm is evaluated through manually annotated references.
Automatic delineation of ECG signals
Olšanská, Eva ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor´s thesis deals with the delineation of ECG signals. The aim of this bachelor´s thesis is to become familiar with ECG delineation and realize one chosen delineation method in Matlab. The delineation algorithm was tested on a CSE database. The theoretical part of the work describes methods of QRS complex detection and ECG delineation.
Detection of QRS complex using leads transformation
Kašpar, Jakub ; Mézl, Martin (referee) ; Vítek, Martin (advisor)
Main goal of this work is get acquainted with the methods of QRS detection and the principle of ECG transformation. Than to describe one of the already designed QRS detection metod, realise it in MATLAB and evaluate its functionality with signals from CSE database.
Delineation of experimental ECG data
Hanzelka, Adam ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This master's thesis deals with an analysis of principles of ECG signals detection and delineation. The theoretical part describes heart electrophysiology and electrocardiography basics. Next, the most important QRS detection and ECG delineation algorithms are introduced. Especially the wavelet transform methods are described. In the practical part proper delineation algoriythm was realized. It was tested on the standard CSE database, then it was modified on data of isolated rabbit heartsand the results are published in the conclusion.
Automatic delineation of ECG signals
Vítek, Martin ; Tyšler, Milan (referee) ; Halámek,, Josef (referee) ; Kozumplík, Jiří (advisor)
This dissertation deals with QRS complex detection and ECG delineation. The theoretical part of the work describes basics of electrocardiography, QRS detection approaches, ECG delineation approaches, the standard CSE database and the wavelet transform theory. The practical part of the work describes designed methods of QRS complex detection and ECG delineation. The designed methods are based on a continuous wavelet transform, appropriate scales, appropriate mother wavelet, cluster analysis and leads transformation. The introduced algorithms were evaluated on the standard CSE database. The obtained results are better, than directly comparable results of other methods and accomplished given database criteria. The robustness of designed algorithms was successfully tested on CSE database signals modified by compression and filtering. The proposed ECG delineation algorithm was successfully used as a tool for evaluation of diagnostic distortion of ECG signals modified by compression.
QT Interval Measurement
Váňa, Tomáš ; Chrobák, Martin (referee) ; Kozumplík, Jiří (advisor)
This semestral thesis deals with QT interval measurement. The theoretical part of the work describes ECG delineation, QT interval and methods for detection Q onset and T offset. The practical part of the work describes R wave detection, preprocessing of ECG signal and implementation of selected methods for QT interval measurement. Selected algorithms were evaluated on the standard CSE database. Detected positions were compared with reference values. Result of this work is evaluation of results.
A Detections and Measurements in ECG Signals
Toušek, Vojtěch ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
Automatic detection and delineation of ECG characteristic points is a basic procedure of any analyze of ECG using computer. This detection is a necessary step to simplify the work of cardiologists to evaluate long ECG records. In this thesis is proposed and evaluate a method of detection and delineation in a single-lead ECG using dyadic wavelet transform followed by correction in pseudo-orthogonal lead system taken from standard 12-lead system. The method uses information about position of positive maximum – negative minimum pair to detect ECG characteristic waves. At first the QRS complex is detected and than its morphology (waves Q and S) and the onset and end of the complex. After that the T-wave is detected and delineated within a searching window dependent on QRS position. And last the P-wave is detected and delineated. There are used two types of wavelets in developed method, “haar” and “quadratic spline”. The developed method was evaluated on CSE database. When haar wavelet was used the QRS detector sensitivity was 99.14%. In the work is also evaluated the accuracy of delineation characteristic points. As the P-wave and QRS complex delineation produced quite good results the T-wave end delineator produced relatively big deviations. All deviations are presented in histograms.
P Wave Detection in Pathological ECG Signals
Šaclová, Lucie ; Černý, Martin (referee) ; Tkacz, Ewaryst (referee) ; Vítek, Martin (advisor)
Důležitou součástí hodnocení elektrokardiogramu (EKG) a následné detekce srdečních patologií, zejména v dlouhodobém monitorování, je detekce vln P. Výsledky detekce vln P umožňují získat ze záznamu EKG více informací o srdeční činnosti. Podle správně detekovaných pozic vln P je možné detekovat a odlišit patologie, které současné programy používané v medicínské praxi identifikovat neumožňují (např. atrioventrikulární blok 1., 2. a 3. stupně, cestující pacemaker, Wolffův-Parkinsonův-Whiteův syndrom). Tato dizertační práce představuje novou metodu detekce vln P v záznamech EKG během fyziologické a zejména patologické srdeční činnosti. Metoda je založena na fázorové transformaci, inovativních pravidlech detekce a identifikaci možných patologií zpřesňující detekci vln P. Dalším důležitým výsledkem práce je vytvoření dvou veřejně dostupných databází záznamů EKG s obsahem patologií a anotovanými vlnami P. Dizertační práce je rozdělena na teoretickou část a soubor publikací představující příspěvek autora v oblasti detekce vlny P.
Detection of QRS complex using leads transformation
Kašpar, Jakub ; Mézl, Martin (referee) ; Vítek, Martin (advisor)
Main goal of this work is get acquainted with the methods of QRS detection and the principle of ECG transformation. Than to describe one of the already designed QRS detection metod, realise it in MATLAB and evaluate its functionality with signals from CSE database.
Automatic delineation of ECG signals
Olšanská, Eva ; Kozumplík, Jiří (referee) ; Vítek, Martin (advisor)
This bachelor´s thesis deals with the delineation of ECG signals. The aim of this bachelor´s thesis is to become familiar with ECG delineation and realize one chosen delineation method in Matlab. The delineation algorithm was tested on a CSE database. The theoretical part of the work describes methods of QRS complex detection and ECG delineation.

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