Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram

This paper presents an algorithm to detect the first heart sound (Si) and second heart sound (S2). The algorithm utilizes instantaneous energy of electrocardiogram (ECG) to estimate the presence of S1 and S2. Thus, heart sound segmentation can be done as it is essential in the automatic diagnosis of...

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Bibliographic Details
Published inComputers in Cardiology, 2003 pp. 327 - 330
Main Authors Malarvili, M.B., Kamarulafizam, I., Hussain, S., Helmi, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
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Summary:This paper presents an algorithm to detect the first heart sound (Si) and second heart sound (S2). The algorithm utilizes instantaneous energy of electrocardiogram (ECG) to estimate the presence of S1 and S2. Thus, heart sound segmentation can be done as it is essential in the automatic diagnosis of heart sounds. The instantaneous energy of ECG is performed to verify the occurrence of S1 and S2 as it is widely accepted pathologically that phonocardiogram (PCG) and electrocardiogram (ECG) are two noninvasive source of information depicting the cardiac activity. The ECG is a surface measurement of the electrical potential generated by electrical activity in cardiac tissues. Meanwhile, PCG is the graphical representation of the heart sound produced by the heart. The algorithm was tested for 210 cardiac cycles of heart sound and ECG recorded from patients from normal and abnormal simultaneously.
ISBN:078038170X
9780780381704
ISSN:0276-6547
DOI:10.1109/CIC.2003.1291157