Heart Murmur Classification using Complexity Signatures



In this work, we propose a two-stage classifier based on the analysis of the heart sound's complexity
for murmur identification and classification. The first stage of the classifier verifies if the heart sound (HS) exhibits murmurs. To this end, the chaotic nature of the signal is assessed using the Lyapunov exponents (LEs). The second stage of the method is devoted to the classification of the type of murmur. In opposition to current state of the art methods for murmur classification, a reduced set of features is proposed. This set includes both well-known as well as new features designed to capture the morphological and the chaotic nature of murmurs. The classification scheme is evaluated with three classification methods: Learning Vector Quantization, Gaussian Mixture Models and Support Vector Machines. The achieved results are comparable to reported results in literature, while relying on a significant smaller set of features.


Biosignal processing; heart sound


International Conference on Pattern Recognition - ICPR'2010, August 2010

Cited by

Year 2013 : 1 citations

 Becerra, Miguel A., Diana A. Orrego, and Edilson Delgado-Trejos. "Adaptive neuro-fuzzy inference system for acoustic analysis of 4-channel phonocardiograms using empirical mode decomposition." Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. IEEE, 2013.

Year 2012 : 2 citations

 MA Becerra, DA Orrego, C Mejia, E Delgado-Trejos, "Stochastic Analysis and Classification of 4-Area Cardiac Auscultation Signals Using Empirical Mode Decomposition and Acoustic Features", in Proc. of IEEE Conf. on Computers in Cardiology, 2012

 H. Azhar, A. Amer, “Classi?cation of surveillance video objects using chaotic series” J. of IET Image Processing, 6 (7), 2012, pp. 919 - 931

Year 2011 : 3 citations

 Ahmad, W., Hayee, M.I., Fitzakerley, J.L., Burns, S., Nordehn, G., "Heart Murmur Detection/Classification Using Cochlea-Like Pre-Processing and Artificial Intelligence", Int. J. of Biomedical Engineering and Technology, 7, 2011, pp. 87-96

 Kasun Prasanga, D. , Abeykoon, A.H.S. ; Prasad, S. ; Udawatta, L. , "Auscultation based stethoscopic diagnostic device for cardiac murmur identification", IEEE International Conference on Industrial Technology (ICIT), 2011 , pp. 367 - 372

 Booma Devi Sekar, JiaYi Dou, Bin Bin Fu, Xiao Lei Fei and Ming Chui Dong, 2011. Complexity and Similarity Analysis of Heart Sound for Cardiovascular Disease Detection. Biotechnology, 10: 316-322.

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