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An automated snoring sound classification method based on local dual octal pattern and iterative hybrid feature selector
In this research, a novel snoring sound classification (SSC) method is presented by proposing a new feature generation function to yield a high classification rate. The proposed feature extractor is named as Local Dual Octal Pattern (LDOP). A novel LDOP based SSC method is presented to solve the low...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476581/ https://www.ncbi.nlm.nih.gov/pubmed/32922509 http://dx.doi.org/10.1016/j.bspc.2020.102173 |