Universiti Teknologi Malaysia Institutional Repository

Determination of the onset of ventricular tachycardia

Othman, Mohd. Afzan and Mat Safri, Norlaili and Mohammed Sheet, Sinan S. and Abdul Ghani, Ismawati (2012) Determination of the onset of ventricular tachycardia. In: 2012 International Conference on Biomedical Engineering, ICoBE 2012. IEEE, New York, USA, pp. 1-5. ISBN 978-145771989-9

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Official URL: http://dx.doi.org/10.1109/ICoBE.2012.6178976

Abstract

Ventricular tachycardia is ventricular cardiac arrhythmia that could be calamitous and life threatening. The ability to provide accurate and well-timed predictions of ventricular tachycardia events can save lives. This research investigates the possibility of using a semantic mining algorithm to predict the onset of ventricular tachycardia in electrocardiogram (ECG) signals. A total of thirteen subjects were obtained from Creighton University Ventricular Tachyarrhythmia Database and MIT-BIH Arrhythmia Database. Based on these downloaded data, damping ratios, natural frequencies and input parameters were extracted using semantic mining algorithm. The data were segmented into ten sec periods before applying them to semantic mining. It was found that extracted parameters from the semantic mining were successful in forecasting ventricular tachycardia one to four minutes earlier than the onset. In brief, this work provides a new method for advanced researches in predicting the onset of heart rhythm irregularities.

Item Type:Book Section
Additional Information:Indexed by Scopus
Uncontrolled Keywords:electrocardiogram, heart disease, semantic mining, ventricular tachycardia
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:34712
Deposited By:INVALID USER
Deposited On:30 Oct 2013 03:18
Last Modified:06 Aug 2017 01:10

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