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.Design/methodology/approachIn 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.FindingsThree 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.Originality/valueIt was found that troponin I has the most influence on the ventricular tachycardia prediction.
Sensor Review – Emerald Publishing
Published: Jan 8, 2018
Keywords: Forecasting; Biometrics; Biosensors; Heart disease; Neuro-fuzzy; Ventricular tachycardia