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Signal, Image and Video Processing

, Volume 12, Issue 6, pp 1149–1155 | Cite as

Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge

  • Fatima Chakir
  • Abdelilah Jilbab
  • Chafik Nacir
  • Ahmed Hammouch
Original Paper
  • 153 Downloads

Abstract

This paper describes a new approach of the first and the second challenge presented by Pattern Analysis, Statistical Modeling and Computational Learning (PASCAL) Classifying Heart Sounds Challenge. The segmentation of phonocardiogram signals into the first heart sound S1 and the second heart sound S2 consists in heart sounds preprocessing, heart sounds peaks detection, extra peaks rejection and S1 and S2 peaks identification. Regarding heart sounds classification into few classes, relevant descriptors have been extracted from phonocardiogram signals, some of which have relied on segmentation results, and used as parameters for an appropriate classifier. The results of this methodology are compared with those of other approaches obtained at PASCAL Classifying Heart Sounds Challenge by means of the segmentation total error value and the precision of each category.

Keywords

Heart sounds PASCAL challenge PCG signals Heart sounds segmentation Heart sounds classification 

Notes

Acknowledgements

Many thanks to Peter Bentley, Glenn Nordehn, Miguel Coimbra, Shie Mannor and Rita Getz for PCG dataset from “The PASCAL Classifying Heart Sounds Challenge 2011.”

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Fatima Chakir
    • 1
  • Abdelilah Jilbab
    • 1
  • Chafik Nacir
    • 1
  • Ahmed Hammouch
    • 1
  1. 1.Ecole Normale Supérieure de l’Enseignement TechniqueMohammed V University in RabatRabatMorocco

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