The Thesis deals with the area of cardio stimulation. It describes the different stimulation modes and their specifics. It describes the creation of a virtual cardio stimulator based on R-waves, designed in the LabVIEW application. Part of the thesis is the software realization of the model and the verification of its functionality.

The aim of this thesis is a diagnosis of ventricular tachycardias, fibrillations and flutters from electrocardiogram. These disturbances of heart rate are ranked among the life threatening arrhytmias. This work presents own method of the automatic detection, which is created for the ECG holter monitoring system. The proposed algorithm is based on the detection in the spectral domain, which is supported by the detection in the time domain. The results show the discrimination of arrhytmias from the normal sinus rhythm and the discrimination from the noise. The method is tested with ECG records from the The AHA Database (American Heart Association) and from The MIT-BIH Malignant Ventricular Arrhythmia Database.

This project deals with anatomy and electrophysiology of heart. It describes the structure of cardiac muscle, mechanism of myocard's contraction, heart work, the origin and registration of electric signals of heart – electrocardiogram (ECG) and vectorcardiogram (VCG). Part of the work is design and creation of a software application for calculation and graphical presentation of vectorcardograms, useful for experimental data available on ÚBMI VUT in Brno.

The aim was to test the methods for suppression 50 Hz noise with adaptive filtering. When using the general scheme of adaptive and deterministic scheme to suppress hum. The work is a theoretical derivation of adaptive algorithms and some examples of modeling in MATLAB.

This work deals with the classification of cardiac cycles, which uses a method of dynamic time warping and cluster analysis. Method of dynamic time warping is among the elderly, but for its simplicity compared to others is still very much used, and also achieved good results in practice. Cluster analysis is used in many fields such as marketing or just for biological signals. The aim of this work is a general introduction to the ECG signal and the method and implementation of dynamic time warping algorithm. Subsequently, cluster analysis and finally the creation of the user interface for the algorithms.

This master thesis named “Measuring of ECG signals” is focused on detailed description of resting signals of ECG, which are derived from known positions of the start and the end of the wave P, complex QRS, and wave T. For this purpose we used classic twelve lead in ECG signals from CSE database, which consisted of 250 measurement records. Outcome of this work will be an algorithm capable of classifying chosen heat anomalies, as well as study which will evaluate quality of this algorithm from statistical standpoint. This study will also carry out statistical calculations concerning most common heart anomalies. These materials could be used as a software support for cardiologists.

The Cardiovascular diseases may evocated the high percentual risk of sudden cardiac death in whole world. In several western countries is the number of death higher then number of cancer death. In this time is used a lot of methods for prediction of sudden cardiac death with focus on ECG T-wave alternance. The aim of the theses was to do stronger relation and cooperation with Internal Cardiac Clinic of Faculty Hospital Brno Bohunice on the risk analysis of sudden cardiac death. Secondly, we met the methods used for detection and quantification of simulated TWA. Last but not least was necessary to find TWA detection methods improvement and process the data on real signals obtained from Faculty Hospital Brno Bohunice. First part of the Thesis is focused on summary of pathologic artifacts in ECG signal, which are important for sudden cardiac risk stratification. There are described further known detection and quantification methods for TWA analysis. An interesting part for clinical practice is analysis of TWA trend in time and looking for the best method, which is able to catch and track the short TWA trend changes. Second part describes the new methods improvements, which were tested with interesting outputs. Further, there was developed method for TWA presence statement probability evaluation.

První část práce je zaměřena na měření QT intervalu. QT interval může být použit k hodnocení kardiovaskulárního zdraví pacientů a detekovat potenciální abnormality. QT interval je měřen od začátku QRS komplexu až po konec T vlny. Nicméně, měření konce T vlny je často vysoce subjektivní a jeho verifikace je obtížná. Představujeme dvě metody měření QT intervalu - vlnkovou a šablonovou metodu. Metody byly porovnány mezi sebou a testovány na QT databázi. Druhá část práce je zaměřena na modelování arytmických signálů McSharryho modelem následována klasifikací s použitím umělých neuronových sítí. Metoda používá předzpracování signálů lineární aproximací a shlukování lineárních segmentů pro stanovení počátečních parametrů McSharryho modelu. Byly použity EKG signály standardní MIT/BIH Arrhythmia Databáze. Modelování bylo testováno na celé databázi a svodu MLII (modifikovaný svod II). Všechny signály mohou být modelovány 10 Gaussovými funkcemi bez významného zkreslení. Třetí část práce představuje klasifikaci EKG do dvou tříd. Předčasné komorové kontrakce (PVC) mají vysoký význam při hodnocení a predikci život ohrožujících ventrikulárních arytmií. Představujeme algoritmus pro detekci předčasných komorových kontrakcí s použitím McSharryho modelu a neuronových sítí. Signály modelované 30 Gaussovými parametry byly předloženy na vstup umělé neuronové sítě. Použitý vícevrstvý perceptron dosáhl klasifikační úspěšnosti 93,10% pro předčasné komorové kontrakce (PVC) a 96,43% pro normální stahy.

This semester thesis is focused on automated measurement of ECG signal. The theoretical part describes the rise and options ECG signal. Furthermore, the issue is staged principal components analysis, whose output is used as input signal for seasons. They describe the basic methods used in measurement to ECG signal. The practical part is designed in measurement algorithm for ECG signal that has been tested on basic CSE database. The results are discussed in the conclusion.

Candidate: Nikola Juríková1 Supervisor: prof. RNDr. Jiří Vlček, CSc.1 Consultant: doc. MUDr. Tomáš Soukup, PhD.2 1 Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Králové, Charles University 2 2nd Department of Internal Medicine - Gastroenterology, University Hospital in Hradec Králové Title of the master thesis: Effect of pulse glucocorticoid therapy on ECG Glucocorticoid pulse therapy (PT) is used to terminate acute exacerbations of immunologically mediated diseases. The aim of this thesis was to analyze the influence of methylprednisolone (MP) PT on ECG changes, mainly on QT interval, as prolonged QT interval may induce ventricular arrhythmias and to identify other risk factors (RF) for QT prolongation. Data were gained retrospectively from medical records of patients hospitalized at II. Internal Gastroenterology Clinic of University Hospital Hradec Králové. QT was corrected to QTc using Bazzet (QTcB) and Fridericia (QTcF) formula, QTc >450 ms (men) and QTc >460 ms (women) was considered prolonged. QTc changes before and after pulse therapy were determined as ∆QTc. 325 pulses of MP were administered to 277 patients (66,0 % women), ECG was available in 94,2 % (n=306 from 325). After PT there was significant ∆QTcF 14,6 ms (p <0,001) and ∆QTcB 5,6 ms (p <0,001)....