Coronary arteries stenosis causes ischemic heart disease which is the main fatality reason all over the world. For diagnosis arteries stenosis invasive and noninvasive methods are used. These methods are quite expensive and not all medical institutions can carry out such tests. Analysis of electrocardiogram could be one of the cheapest and current methods to diagnose arteries stenosis. Despite the fact, that in some cases such analysis is not very informative, medics look for the informative ECG parameters and their combinations in order to predict stenosis. The goal of this work is to create statistical methods and software for prognosis of coronary arteries stenosis using digital ECG parameters. Data was colecet and prepared for this reseach in Clinic of Cardiology of Kaunas Medical University. In this work are presented: 1.Statistical analysis models for prognosis of coronary arteries stenosis. 2.Software for uses. 3.Comparative analysis of statistical analysis models. 4.Results of real data analysis, which were obtained by using, developed statistical models and software. Obtained results will be used to improve methods of diagnosis ischemic heart disease and arteries stenosis in Clinic of Cardiology of Kaunas Medical University.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2005~D_20050607_130752-38019 |
| Date | 07 June 2005 |
| Creators | Astapenko, Dovilė |
| Contributors | Šaferis, Viktoras, Rudzkis, Rimantas, Pekarskas, Vidmantas Povilas, Valakevičius, Eimutis, Barauskas, Arūnas, Navickas, Zenonas, Aksomaitis, Algimantas Jonas, Janilionis, Vytautas, Saulis, Leonas, Kaunas University of Technology |
| Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Technology |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050607_130752-38019 |
| Rights | Unrestricted |
Page generated in 0.0018 seconds