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Information Journal Paper

Title

AUTOMATIC SEGMENTATION OF HEART SOUNDS (S1 & S2) USING WAVELET

Pages

  61-67

Abstract

 In this paper a new method approach is proposed for automatic segmentation of heart sounds (S1, S2) based on WAVELET TRANSFORM. Unlike many other approaches, this method does not use ECG as reference for detection. The applied criterion for segmentation is based on a very important physiologic attribute of heart which is the difference between the pressure of heart valves while opening and closing which causes high frequency components in heart sound. The main idea in this paper is to extract detail and approximation wavelet coefficients of heart sound (PCG) to detect the heart cycle via the Shannon energy of coefficients and then segment S1 and S2. The results show the present algorithm is capable of accurate segmentation of 90% of first heart sounds (S1) and 88.9% of second heart sounds (S2).

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    Cite

    APA: Copy

    SAGHAFI, M.A., AMIRFATTAHI, RASUL, MANSOURI, MOJTABA, & KAZEMI, MOHSEN. (2009). AUTOMATIC SEGMENTATION OF HEART SOUNDS (S1 & S2) USING WAVELET. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 3(1 (8)), 61-67. SID. https://sid.ir/paper/188212/en

    Vancouver: Copy

    SAGHAFI M.A., AMIRFATTAHI RASUL, MANSOURI MOJTABA, KAZEMI MOHSEN. AUTOMATIC SEGMENTATION OF HEART SOUNDS (S1 & S2) USING WAVELET. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2009;3(1 (8)):61-67. Available from: https://sid.ir/paper/188212/en

    IEEE: Copy

    M.A. SAGHAFI, RASUL AMIRFATTAHI, MOJTABA MANSOURI, and MOHSEN KAZEMI, “AUTOMATIC SEGMENTATION OF HEART SOUNDS (S1 & S2) USING WAVELET,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 3, no. 1 (8), pp. 61–67, 2009, [Online]. Available: https://sid.ir/paper/188212/en

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