Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge

1. CVD causes one-third of deaths worldwide study examines global burden of CVD from 1990 to 2015. ACC, 17 May 2017

2. 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)

   Google Scholar 

3. 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)

   Article  Google Scholar 

4. 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)

5. 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)

6. 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)

   Article  Google Scholar 

7. 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)

   Article  Google Scholar 

8. 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)

   Article  Google Scholar 

9. 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

   Article  Google Scholar 

10. E-care: Partenaires. www.projet-e-care.fr/partenaires/ (2014)

11. 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)

12. 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)

13. Bentley, P.J., Nordehn, G., Coimbra, M., Mannor, S.: The PASCAL classifying heart sounds challenge 2011 (CHSC2011) Results. www.peterjbentley.com/heartchallenge/

14. 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)

15. 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)

16. 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)

17. 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)

Download references