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Diagnostics of ventricular tachycardia signals soft computing approach

Diagnostics of ventricular tachycardia signals soft computing approach 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensor Review Emerald Publishing

Diagnostics of ventricular tachycardia signals soft computing approach

Sensor Review , Volume 38 (1): 4 – Jan 8, 2018

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References (18)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0260-2288
DOI
10.1108/sr-08-2017-0148
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Sensor ReviewEmerald Publishing

Published: Jan 8, 2018

Keywords: Forecasting; Biometrics; Biosensors; Heart disease; Neuro-fuzzy; Ventricular tachycardia

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