The purpose of the paper is to analyze the ventricular tachycardia by soft computing. Ventricular tachycardia is a type of regular and fast heart rate which arises from improper electrical activity in the ventricles of the heart.
In this study, a soft computing approach was applied for the ventricular tachycardia detection. The soft computing was used to detect which factors are the most important for the ventricular tachycardia.
Three factors were used: brain natriuretic peptide, troponin I which is a part of the troponin complex and C-reactive protein which is an annular (ring-shaped), pentameric protein found in blood plasma.
It was found that troponin I has the most influence on the ventricular tachycardia prediction.
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