Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cycle in the heart sound signal and determine the exa...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 9; pp. 2039 - 2048 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |