Steps Involved in Heart Sound Analysis - A Review of Existing Trends

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-7                      
Year of Publication : 2013
Authors : Amandeep Cheema , Mandeep Singh


Amandeep Cheema , Mandeep Singh. "Steps Involved in Heart Sound Analysis - A Review of Existing Trends". International Journal of Engineering Trends and Technology (IJETT). V4(7):2921-2925 Jul 2013. ISSN:2231-5381. published by seventh sense research group.


This paper reviews the heart sounds thought to be extremely important to access the condition of heart and covers the stages involved in Phonocardiograph (PCG) signal analysis which includes signal acquisition, methods of feature extraction, feature reduction and classification. The recent advancements and researches are included in chronological order in order to establish the time to time advancements in this field.


[1] Z. Jiang, S. Choi, A cardiac sound characteristics waveform method for in - home heart disorder monitoring with electric stethoscope, Expert Systems with Applications 31 (2006) 286 - 298, 2006
[2] M.Vishwanath, Shervegar, G.V.Bhat, R.M Shetty , Phonocardiography – the future of ca rdiac auscultation , International Journal of Scientific & Engineering Research Volume 2, Issue 10, Oct - 2011.
[3] Muruganantham, Methods for Classification of Phonocardiogram , TENCON, 2003.
[4] L. Shu i , AM13 Analysis of Heart Sound thesis , National University of Singapore, 2004.
[5] M. El - Segaier, O. Lilja, S. Lukkarin en, L. S ?Ornmo, R. Sepponen, E. Pesonen, Computer - Based Detection and Analysis of Heart Sound and Murmur Annals of Biomedical Engineering , Vol. 33, No. 7, pp. 937 – 942, July 2005.
[6 ]Ahlstro m C, Liljefelt O, Hult P, Ask P, Processing of the Phonocardiographic Signal ? Methods for the Intelligent Stethoscope , Studies in Science and Technology, Thesis No. 1253, 2005.
[7] Ahlstrom C, Hult P, Ask P, Thresholding distance plots using true recurrence points , Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing, 2006.
[8] A.L Noponen, S. Lukkarinen, A. Angerla, R. Sepponen, Phono - spectrographic analysis of heart murmur in children , BMC Pediatrics, 2007.
[9] S. Yuenyong, A. Nishihara, W. Kongprawechnon, K. Tungpimolrut, A framework for automatic heart sound analysis without segmentation , BioMedical Engineering OnLine, 2011.
[10] M.A Akbari, K. Hassani, J.D Doyle, M. Navidbakhsh, M. Sangargir, K. Bajelani, Z.S Ah madi, Digital Subtraction Phonocardiography (DSP) applied to the detection and characterization of heart murmurs , BioMedical Engineering OnLine, 2011.
[11] A. Devi, A. Misal, A Survey on Classifiers Used in Heart Valve Disease Detection , International Jou rnal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 1, 2013.
[12] M. Dasha , H. Liu , Consistency - based search in feature selection , Elsevier, Arti ficial Intelligence 151 (2003) 155 – 176, 2003.
[13] J. Novakovi c, Using Information Gain Attribute Evaluation to Classify Sonar Targets , 17th Telecommunications forum TELFOR, 2009.
[14] J. Novak ovic, P. Strbac, D. Bulatovic, Toward Optimal Feature selection using ranking methods and classification algorithms , Yugosl av Journal of Operations Research 21, Number 1, 119 - 135, 2011.
[15] G.P Z hang: Neural Networks for C lassification, A Survey , IEEE Transactions on systems, man, and cybernetics — Part C: Applications and Reviews, vol. 30, no. 4, November, 2000.
[16] A.G Bors, Introduction to Radial Basis Function (RBF) Networks , Online Symposium OSEE, University of York, YO10 5DD, UK

Heart Sounds, Feature Extraction, Classification