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...

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Detalles Bibliográficos
Autores principales: Kwon, Amy M., Kang, Kyungtae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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