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A temporal dependency feature in lower dimension for lung sound signal classification
Respiratory sounds are expressed as nonlinear and nonstationary signals, whose unpredictability makes it difficult to extract significant features for classification. Static cepstral coefficients such as Mel-frequency cepstral coefficients (MFCCs), have been used for classification of lung sound sig...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098886/ https://www.ncbi.nlm.nih.gov/pubmed/35551232 http://dx.doi.org/10.1038/s41598-022-11726-3 |