Heart sound segmentation has been a challenge of investigation for several years in diagnosis and preventing of many cardiovascular diseases. Heart sound triggers warning in presence of disrored/diseases. However, murmur prevalence in heart sound is the most common abnormalities are heard in many heart disorders. This paper introduces an algorithm for heart murmur identification from the other heart sound components such as S1 and S2. The algorithm includes wavelet decomposition for multi-resolution support and features that are extracted using nonlinear signal processing technique. Under this technique, heart sound signal are transformed in phase space computing the important parameter delay dimension which facilitates visualization heart sound behavior and important features extraction such as complexity. The method has been tested with diverse lesions of heart murmur 91.09+-5:38% sensitivity and 95.25+-2:49% specificity have been achieved.
Subject
Cardiac sound processing; heart murmur
Conference
EMBC -2008, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2008
Cited by
Year 2013 : 3 citations
Yu-han, Cheng, and Ma Yong. "A New Method of Vehicle Initiative Safety: Heart Sound Acquisition and Identification Technology." ICCGI 2013, The Eighth International Multi-Conference on Computing in the Global Information Technology. 2013.
Liu Jia Jin, et al. "A low-cost intelligent mobile terminal heart sound acquisition system based on." (2013).
Marascio, Giuseppe, and Pietro Amedeo Modesti. "Current trends and perspectives for automated screening of cardiac murmurs." Heart Asia 5.1 (2013): 213-218.
Year 2011 : 2 citations
S. Yuenyong, A. Nishihara, W. Kongprawechnon, K. Tungpimolrut, "A framework for automatic heart sound analysis without segmentation", in Journal of BioMedical Engineering OnLine 2011, 10:13.
K. Prasanga, A. M. Abeykoon, S. Prasad, “Auscultation based stethoscopic diagnostic device for cardiac murmur identification”, IEEE International Conference on Industrial Technology, 14-16 March, 2011, pp. 367-372
Year 2010 : 1 citations
Abeykoon, A.H.S. ; Prasanga, D.K. ; Prasad, S. ; Perera, W. ; Perera, K. , "Knowledge on heart patients through stethoscopic cardiac murmur identification for E-healthcare", 8th International Conference on ICT and Knowledge Engineering, 2010, pp. 58 - 63
