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...
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 6; pp. 1555 - 1569 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jun2022
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| Online Access: | View this record in EBSCOhost |