DocumentCode :
1741194
Title :
The limits of heart-model-based computerized ECG diagnosis
Author :
Szilágyi, Saádor M.
Author_Institution :
Dept. of Process Control & Inf. Theory, Tech. Univ. Budapest, Hungary
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1913
Abstract :
Nowadays the most important health problem affecting large groups of people is related to malfunctions of the heart, usually caused by heart attack, rhythm disturbances and pathological degeneration. The main goal is to predict this kind of tragic event, and by identifying the patients situated in the most dangerous states, it is possible to apply a preventative therapy. This paper presents the description of the heart´s function using a mathematical model, in order to recognize the dangerous states. The developed system applies three different models to obtain the diagnostics: a cell model, heart model, and chest model. The development of these models is not finished yet. Because the computerized “understanding” and simulation of these physiological processes require lots of unknown parameters, it is suitable to apply stochastic processing methods. The methods refer to several physiological problems, such as the contraction of the heart, respiration, state of the patient, etc
Keywords :
electrocardiography; fuzzy logic; medical expert systems; medical signal processing; multi-agent systems; physiological models; adaptive neuro-fuzzy logic; cell model; chest model; computerized ECG diagnosis; error detection; heart contraction; heart-model-based diagnosis; ion channels; mathematical model; multi-agent systems; respiration; stochastic processing methods; Cardiac arrest; Computational modeling; Computer simulation; Electrocardiography; Heart; Mathematical model; Medical treatment; Pathology; Rhythm; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.900465
Filename :
900465
Link To Document :
بازگشت