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access icon openaccess Wavelet-based fundamental heart sound recognition method using morphological and interval features

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References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 4. Springer, D.B., et al: ‘Logistic regression-HSMM-based heart sound segmentation’, IEEE Trans. Biomed. Eng., 2016, 63, (4), pp. 822832.
    5. 5)
    6. 6)
    7. 7)
      • 7. Thomas, R., et al: ‘Heart sound segmentation using fractal decomposition’. Proc. IEEE 38th Annual Int. Conf. Engineering in Medicine and Biology Society, August 2016, pp. 62346236.
    8. 8)
      • 8. Tschannen, M., et al: ‘Heart sound classification using deep structured features’. Proc. Computing in Cardiology, September 2016.
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • 12. Sun, H., et al: ‘An improved empirical mode decomposition-wavelet algorithm for phonocardiogram signal denoising and its application in the first and second heart sound extraction’. Proc. 6th Int. Conf. Biomedical Engineering and Informatics, December 2013, pp. 187191.
    13. 13)
      • 13. Mondal, A., et al: ‘Boundary estimation of cardiac events S1 and S2 based on Hilbert transform and adaptive thresholding approach’. Proc. Indian Conf. Medical Informatics and Telemedicine, March 2013, pp. 4347.
    14. 14)
    15. 15)
      • 15. Hedayioglu, F., et al: ‘Denoising and segmentation of the second heart sound using matching pursuit’. Proc. IEEE 34th Annual Int. Conf. Engineering in Medicine and Biology Society, 2012, pp. 34403443.
    16. 16)
    17. 17)
      • 17. Wang, X., et al: ‘Detection of the first and second heart sound using heart sound energy’. Proc. Int. Conf. Biomedical Engineering and Informatics, 2009, pp. 14.
    18. 18)
      • 18. Kumar, D., et al: ‘Detection of S1 and S2 heart sounds by high frequency signatures’. Proc. IEEE 28th Annual Int. Conf. Engineering in Medicine and Biology Society, vol. 1, August/September 2006, pp. 14101416.
    19. 19)
      • 19. Gill, D., et al: ‘Detection and identification of heart sounds using homomorphic envelogram and self-organizing probabilistic model’. Proc. Computers in Cardiology, September 2005, pp. 957960.
    20. 20)
      • 20. Wang, P., et al: ‘First heart sound detection for phonocardiogram segmentation’. Proc. IEEE 27th Annual Conf. Engineering in Medicine and Biology Society, January 2005, pp. 55195522.
    21. 21)
      • 21. Gamero, L., Watrous, R.: ‘Detection of the first and second heart sound using probabilistic models’. Proc. IEEE 25th Annual Int. Conf. Engineering in Medicine and Biology Society, September 2003, pp. 28772880.
    22. 22)
      • 22. Oskiper, T., Watrous, R.: ‘Detection of the first heart sound using a time-delay neural network’. Proc. Computers in Cardiology, September 2002, pp. 537540.
    23. 23)
      • 23. Hebden, J.E., Torry, I.N.: ‘Neural network and conventional classifiers to distinguish between first and second heart sound’. Proc. IEE Colloquium Artificial Intelligence Methods for Biomedical Data Processing, April 1996, vol. 3, pp. 16.
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
      • 28. Bentley, P., et al: ‘Classifying heart sounds challenge’. Available at http://www.peterjbentley.com/heartchallenge/.
    29. 29)
      • 29. Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge, 2016. Available at https://www.physionet.org/challenge/2016/.
    30. 30)
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