[
1. Tilkian A, Conover M. Enderstanding heart sounds and murmurs: with an introduction to lung sounds, 4th edn. Philadelphia, Saunders, 2001.
]Search in Google Scholar
[
2. Debbal SD, Bereksi-Reguig F. Complementary analysis to heart sounds while using the short time fourier and the continuous wavelet transforms. Biomedical Engineering: Applications, Basis and Communications. 2007;19(5):331–339. https://doi.org/10.4015/S1016237207000434/
]Search in Google Scholar
[
3. Stagmo ML, Persson J. Cardiac and Cardiovascular Systems, Lund University Publications. 2008, ISBN: 978-91-44-01989-5
]Search in Google Scholar
[
4. Novey D, Pencar M, Stang, J. The guide to heart sounds: Normal and abnormal, CRC Press Inc, Florida,1990.
]Search in Google Scholar
[
5. Shaver J, Salerni R, Reddy P. Normal and abnormal heart sound in cardiac diagnosis. Part I: Systolic sounds. Curr Probl Cardiol;10(3):2-68, 1995. https://doi.org/10.1016/0146-2806(85)90007-610.1016/0146-2806(85)90007-6
]Search in Google Scholar
[
6. Leung T, White P, Cook J, et al. Analysis of the second heart sound for diagnosis of pediatric heart diseases, IEEE Proc Sci Meas Technol. 1998:145(6):285-290. https://doi.org/10.1049/ip-smt:1998232610.1049/ip-smt:19982326
]Search in Google Scholar
[
7. Yaseen, Son GY, Kwon S. Classification of Heart Sound Signal Using Multiple Features. Appl Sci. 2018;8(12):2344. https://doi.org/10.3390/app812234410.3390/app8122344
]Search in Google Scholar
[
8. Boussa M, Atouf I, Atibi M, et al. Comparison of MFCC and DWT features extractors applied to PCG classification, 11th International Conference on Intelligent Systems: Theories and Applications (SITA), 2016. https://doi.org/10.1109/SITA.2016.777231210.1109/SITA.2016.7772312
]Search in Google Scholar
[
9. Rosół M, Więckowski Ł. Embedded heart rate analysis based on sound sensing, 24th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 2019, 629-633. https://doi.org/10.1109/MMAR.2019.886466110.1109/MMAR.2019.8864661
]Search in Google Scholar
[
10. http://www.cardiosource.com/heartsounds. Accessed April 25, 2018.
]Search in Google Scholar
[
11. American College of Cardiology. http://www.Egeneralmedical.com. Accessed November 25, 2006.
]Search in Google Scholar
[
12. Heart Sounds and Murmurs. http://www.dundee.ac.uk/medther/Cardiology/hsmur.html. Accessed November 5, 2006.
]Search in Google Scholar
[
13. Omari.T, Debbal SM. Etude de degré de sévérité pathologique des sténoses aortiques, magister thesis, Tlemcen University, 2009.
]Search in Google Scholar
[
14. Ahmad TJ, Ali H, Khan SA. Classification of Phonocardiogram using an Adaptive Fuzzy Inference System. Proceedings of International Conference on Image Processing, Computer Vision (IPCV), Monte Carlo Resort, Las Vegas, Nevada, USA, 2009: 609-614, 2009.
]Search in Google Scholar
[
15. Meziani F, Debbal SM, Atbi A. Analyse du Degré de Sévérité Pathologique de La sténose aortiques(AS) par Application de La transformée en Ondelettes Continue (TOC), a l’occasion de: International Conférence on MultiMedia Information Procession: CMIP’2012, Algérie. 2012
]Search in Google Scholar
[
16. Meziani F, Debbal SM, Atbi A. Analysis of the pathological severity degree of aortic stenosis (AS) and mitral stenosis (MS) using the discrete wavelet transform (DWT). Journal of Medical Engineering & Technology. 2013;37(1):61-74. https://doi.org/10.3109/03091902.2012.73305810.3109/03091902.2012.73305823173773
]Search in Google Scholar
[
17. Chua KC, Chandran V, Acharya UR, Lim CM. Cardiac state diagnosis using higher order spectra of heart rate variability. Journal of Medical Engineering & Technology. 2008;32(2):145-155. https://doi.org/10.1080/0309190060105086210.1080/0309190060105086218297505
]Search in Google Scholar
[
18. Goshvarpour A, Goshvarpour A, Rahati S, Saadatian V. Bispectrum estimation of electroencephalogram signal during meditation. Iran J Psychiatry Behav Sci. 2012;6(2):48-54.
]Search in Google Scholar
[
19. Nikias C, Raghuveer M. Bispectrum estimation: a digital signal processing framework. Proc IEEE. 1987;75(7):869-91. https://doi.org/10.1109/PROC.1987.1382410.1109/PROC.1987.13824
]Search in Google Scholar
[
20. Chua KC, Chandran V, Acharya R, Lim CM. Higher Order Spectral (HOS) Analysis Of Epileptic EEG Signals, Engineering in Medicine and Biology Society. Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France August 23-26, 2007:6495-6498. https://doi.org/10.1109/IEMBS.2007.435384710.1109/IEMBS.2007.435384718003513
]Search in Google Scholar
[
21. Debbal S, Bereksi-Reguig F. Analyse spectro-temporelle des bruits cardiaques par les transformees discrete et continue d’ondelettes. Sciences & Technologie. B, Sciences De l’ingénieur. 2005(23):5-15.
]Search in Google Scholar