Extraction of low-dimensional features for single-channel common lung sound classification.
In this study, feature extraction methods used in the classification of single-channel lung sounds obtained by automatic identification of respiratory cycles were examined in detail in order to extract distinctive features at the lowest size. In this way, it will be possible to design a system for t...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 60; no. 6; pp. 1555 - 1569 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2022
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| Acceso en línea: | Ver este registro en EBSCOhost |