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Diagnostics of ventricular tachycardia signals soft computing approach

Dejan Petrovic (Section “D” for Specialized Rehabilitation of Cardiovascular Patients, The Clinic for Physical Rehabilitation Institut Niška Banja, Niška Banja, Serbia)

Sensor Review

ISSN: 0260-2288

Article publication date: 8 December 2017

Issue publication date: 8 January 2018

Abstract

Purpose

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/approach

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.

Findings

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.

Originality/value

It was found that troponin I has the most influence on the ventricular tachycardia prediction.

Keywords

Citation

Petrovic, D. (2018), "Diagnostics of ventricular tachycardia signals soft computing approach", Sensor Review, Vol. 38 No. 1, pp. 9-12. https://doi.org/10.1108/SR-08-2017-0148

Publisher

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Emerald Publishing Limited

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