Convolutional Neural Network for Breathing Phase Detection in Lung Sounds

We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers. Our algorithm uses a convolutional neural network with spectrograms...

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Detalles Bibliográficos
Autores principales: Jácome, Cristina, Ravn, Johan, Holsbø, Einar, Aviles-Solis, Juan Carlos, Melbye, Hasse, Ailo Bongo, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515330/
https://www.ncbi.nlm.nih.gov/pubmed/30991690
http://dx.doi.org/10.3390/s19081798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515330/
https://www.ncbi.nlm.nih.gov/pubmed/30991690
http://dx.doi.org/10.3390/s19081798

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