The limits of heart-model-based computerized ECG diagnosis

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.

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