Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram
This paper presents an algorithm to detect the first heart sound (S1) 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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my.utm.21232011-06-06T08:05:15Z http://eprints.utm.my/id/eprint/2123/ Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram M. B., Malarvili Ismail, Kamarul Afizam S., Hussain D., Helmi TK Electrical engineering. Electronics Nuclear engineering This paper presents an algorithm to detect the first heart sound (S1) 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 [6]. 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. IEEE 2003 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2123/1/malar_3.pdf M. B., Malarvili and Ismail, Kamarul Afizam and S., Hussain and D., Helmi (2003) Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram. Computers in Cardiology, 30 . pp. 327-330. ISSN 0276−6547 http://ieeexplore.ieee.org |
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TK Electrical engineering. Electronics Nuclear engineering M. B., Malarvili Ismail, Kamarul Afizam S., Hussain D., Helmi Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
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This paper presents an algorithm to detect the first heart sound (S1) 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 [6]. 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. |
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Article |
author |
M. B., Malarvili Ismail, Kamarul Afizam S., Hussain D., Helmi |
author_facet |
M. B., Malarvili Ismail, Kamarul Afizam S., Hussain D., Helmi |
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M. B., Malarvili |
title |
Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
title_short |
Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
title_full |
Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
title_fullStr |
Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
title_full_unstemmed |
Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
title_sort |
heart sound segmentation algorithm based on instantaneous energy of electrocardiogram |
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IEEE |
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2003 |
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http://eprints.utm.my/id/eprint/2123/1/malar_3.pdf http://eprints.utm.my/id/eprint/2123/ http://ieeexplore.ieee.org |
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