A wavelet transform-based detection algorithm for electrocardiogram

Sudden cardiac arrest is a major public health problem and Ventricular Fibrillation (VF) and Ventricular Tachycardia (VT) are serious arrhythmic events in most of patients suffering from sudden cardiac arrest. For these serious arrhythmic events, the timely employment of an electrical defibrillator...

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Bibliographic Details
Published in2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC) pp. 768 - 773
Main Authors Oya, Hidetoshi, Tanaka, Kosuke, Hirose, Katsuhiro, Nakano, Kazushi, Yamaguchi, Yoshihiro, Miyauchi, Hiroshi
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.08.2012
Subjects
Algorithm design and analysis
Cardiac arrest
Continuous wavelet transforms
Detection algorithms
Electrocardiography
NSI
Sinus Rhythm
TCSC
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Summary:Sudden cardiac arrest is a major public health problem and Ventricular Fibrillation (VF) and Ventricular Tachycardia (VT) are serious arrhythmic events in most of patients suffering from sudden cardiac arrest. For these serious arrhythmic events, the timely employment of an electrical defibrillator may lead to successful results. VF is the most serious variety of arrhythmia which requires accurate and quick detection to save lives, and a pivotal component in automated external defibrillators (AEDs) is the detection of VF signal by means of appropriate algorithm. In this paper, on the basis of Continuous Wavelet Transform (CWT) we propose a wavelet transform-based detection algorithm for electrocardiogram (ECG) such as sinus rhythm (SR), VF and so on.
ISBN:9781467321921
1467321923
DOI:10.1109/ICSPCC.2012.6335657