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.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:233444 |
Date | January 2009 |
Creators | Tannenberg, Milan |
Contributors | Sovka, Pavel, Tyšler,, Milan, Kozumplík, Jiří |
Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/doctoralThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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