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LabView and biosignal analysis
Kutílek, Miloš ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
This bachelor’s thesis deals with the analysis of biological signals in LabView environment. Mainly it focuses on the analysis of ECG signals. The thesis also describes the theory of electrocardiogram and occupies by several programs which consider various approaches to digital filtering of ECG signals, programs for detection R wave by different ways and simple cardiology monitor.
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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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ECG measurement and processing in LabView
Veselý, Petr ; Kozumplík, Jiří (referee) ; Kolář, Radim (advisor)
The thesis, as its title shows, is focused on the ECG signal processing and the QRS complex detection. Its first part provides the anatomical description of the heart itself. Due to the irritation of the heart muscle, the atrium of the heart and the ventricles gradually contract and relax. In these stages, it is possible to measure a certain electric activity of the heart. This is called the ECG. The curve consists of several distinctive waves, the R wave being prevalent among them. Its parameters are predominant for describing the heart activity. Therefore, the next part of the thesis turns to the possibilities of its detection. The detection process is divided in two parts, the first of them being the pre-processing. Here, the signal is arranged in the right shape. This is followed by the detection, which describes the R wave occurrence. These operations use various filters and methods, as described in the following chapters. The output program, designed in the Labview programming environment, is based on the separation of the R wave from the ECG. This is subsequently compared to the threshold value. The values measured here are later used for the heart rate calculation and creating the geometrical description of the HRV
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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.
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QRS detection based on wavelet transform
Zedníček, Vlastimil ; Ronzhina, Marina (referee) ; Smital, Lukáš (advisor)
This thesis deals with implementation of detector QRS complex with use of wavelet transform. The first part is focused on formation and possibility to measure cardiac activity. The other part of thesis we will familiarise with the different possibilities of detection QRS complex and we intimately focus on wavelet transform that will be used for a project of detection QRS complex. The practical part of thesis focuses on the project of detector in programming language Matlab and his different setting. This projected detector has been tested with CSE database. Achieved results of projected detector are evaluated with the results of others authors.
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ECG monitor in LabVIEW
Pavlišta, Libor ; Kolář, Radim (referee) ; Harabiš, Vratislav (advisor)
The main purpose of this work is to get know about ECG signal, its genesis and relationship between mechanical and electrical part of the heart. Furthermore about the detailed disassembly of parts, for example of QRS complex, the determination of faulty statuses, the calculation of heartbeat frequence. We will take a look into the patient's monitors. We will get know about the measuring of ECG signal and how to treat the input signal to eliminate the undesirable components of signal, for example unwanted network noise - so-called network brum. We will study the concept of simple monitoring system with th draft of necessary filter in LabView program. We will construct alarms for some cardiac abnormalities, such as premature heart contractions. We will calculate heart rate. We will retrieve of data from an external source and we will prepare the appropriate graphical user interface.
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Cluster Analysis
Chrobák, Martin ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This master’s thesis is engaged in usage of cluster analysis for ECG signal to separate normal QRS complexes from abnormal ones. For this, it is used two algorithms created in professional computing interface MATLAB. The outputs from this master’s thesis are dendrograms, which divide QRS complexes into abnormal and normal clusters, and Pearson correlation coefficients.
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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).
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ECG analysis
Heczko, Marian ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
The topic of this master's thesis is the analysis of ECG signals using wavelet transform. In the introductory chapters there is a brief description of heart anatomy, the emergence and spread of potentials, which evocating activities of myocardium. There is an overview of techniques used for ECG signals analysis and explanation of ECG curve diagnostic importance. Work also containts an ECG signal analysis common procedure explanation and different approaches brief overview. The main part of this work is an application detecting significant intervals in the ECG signal, developed in Matlab. In several chapters the detection procedure is described in more details and gave reasons for chosen methods. In the last chapter there is a preview of several signals as a result of developed application, together with evaluation of the tests carried out at the CSE database. Detector sensitivity was quantified over 99,10%.
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A Wavelet-Based QRS-Complex Detection
Kocian, Ondřej ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This project investigates methods of construction the wavelet-based QRS-complex detector. QRS-complex detection is very important, because it helps automatically calculate heart rate and in some cases it is used for compression ECG signal. The design of QRS detector can be made with many methods, in this project were mentioned and consequently tested only a few variants. The principle of designed detector used a wavelet-based decomposition of the original ECG signal to several frequency-coded bands. These bands are consequently transformed to absolute values and with the help of the threshold value are marked positions of assumed QRS complexes. Then are these assumed positions from all bands compared between themselves. If the position is confirmed at least at one nearby band, then is this position marked as true QRS complex. To increase efficiency of designed detector, two modifications were additionally mentioned. The first one, using the envelope of the signal, had rather negative effect on detectors efficiency. The second modification, using combined signal from three pseudoorthogonal leads, had reversely very good effect on detectors efficiency. In the end, the designed detector and all its modifications were tested on signals from CSE library (exactly on leads II, V2 and V6).
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