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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
CVD causes one-third of deaths worldwide study examines global burden of CVD from 1990 to 2015. ACC, 17 May 2017
Ghassemian, H., Kenari, A.R.: Early detection of pediatric heart disease by automated spectral analysis of phonocardiogram in children. J. Inf. Syst. Telecommun. 3(2), 66–75 (2015)
Nabih-Ali, M., El-Dahshan, E.-S.A., Yahia, A.S.: Heart diseases diagnosis using intelligent algorithm based on PCG signal analysis. Circuits Syst. 8(7), 184–190 (2017)
Rawther, N.N., Cheriyan, J.: Detection and classification of cardiac arrhythmias based on ECG and PCG using temporal and wavelet features. In: IJARCCE, vol. 4, Issue 4, April (2015)
Bouguila, Z., Moukadem, A., Dieterlen, A., Ahmed Benyahia, A., Hajjam, A., Talha, S., Andres, E.: Autonomous cardiac diagnostic based on synchronized ECG and PCG signal. In: 7th International Joint Conference on Biomedical Engineering Systems and Technologies—ESEO, Angers (2014)
Abo-Zahhad, M., Ahmed, S.M., Abbas, S.: Biometric authentication based on pcg and ecg signals: present status and future directions. Signal Image Video Process. 8(4), 739–751 (2014)
Abo-Zahhad, M., Farrag, M., Abbas, S.N., Ahmed, S.M.: A comparative approach between cepstral features for human authentication using heart sounds. Signal Image Video Process. 10(5), 843–851 (2016)
Kang, S.J., Lee, S.Y., Cho, H.I., Park, H.: Ecg authentication system design based on signal analysis in mobile and wearable devices. IEEE Signal Process. Lett. 23(6), 805–808 (2016)
Andres, E., Talha, S., Hajjam, M., Hajjam, J., Ervé, S., Hajjam, A.: Telemedicine to monitor elderly patients with chronic diseases, with a special focus on patients with chronic heart failure. J. Gerontol. Geriatr. Res. 5, 311 (2016). https://doi.org/10.4172/2167-7182.1000311
E-care: Partenaires. www.projet-e-care.fr/partenaires/ (2014)
Chakir, F., Jilbab, A., Nacir, C., Hammouch, A., Hajjam El Hassani, A.: Detection and identification algorithm of the S1 and S2 heart sounds. In: 2nd International Conference on Electrical and Information Technologies, Tangier, Morocco (2016)
Chakir, F., Jilbab, A., Nacir, C., Hammouch, A.: Phonocardiogram signals classification into normal heart sounds and heart murmur sounds. In: 11th International Conference on Intelligent Systems: Theories and Applications, Mohammedia, Morocco (2016)
Bentley, P.J., Nordehn, G., Coimbra, M., Mannor, S.: The PASCAL classifying heart sounds challenge 2011 (CHSC2011) Results. www.peterjbentley.com/heartchallenge/
Gomes, E.F., Pereira, E.: Classifying heart sounds using peak location for segmentation and feature construction. In: Workshop Classifying Heart Sounds, La Palma, Canary Islands (2012)
Deng, Y., Bentley, P.J.: A robust heart sound segmentation and classification algorithm using wavelet decomposition and spectrogram. In: Workshop Classifying Heart Sounds, La Palma, Canary Islands (2012)
Gomes, E.F., Bentley, P.J., Pereira, E., Coimbra, M., Deng, Y.: Classifying heart sounds—approaches to the Pascal challenge. In: HEALTHINF, pp. 337–340 (2013)
Balili, C.C., Sobrepe, M.C.C., Naval, P.C.: Classification of heart sounds using discrete and continuous wavelet transform and random forests. In: 3rd IAPR Asian Conference on Pattern Recognition (2015)
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.”
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chakir, F., Jilbab, A., Nacir, C. et al. Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge. SIViP 12, 1149–1155 (2018). https://doi.org/10.1007/s11760-018-1261-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11760-018-1261-5