A novel 1-D densely connected feature selection convolutional neural network for heart sounds classification

BACKGROUND: Heart sound auscultation, due to it being a non-invasive, convenient, and relatively low-cost technique, remains the dominant method for detection of cardiovascular disease. METHODS: In this paper, we present a method for identifying abnormal heart sounds based on a novel Dense Feature S...

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Detalles Bibliográficos
Autores principales: Zhou, Xin, Wang, Xuying, Li, Xianhong, Zhang, Yao, Liu, Ying, Wang, Jingtao, Chen, Sun, Wu, Yurong, Du, Bowen, Wang, Xiaowen, Sun, Xin, Sun, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756246/
https://www.ncbi.nlm.nih.gov/pubmed/35071446
http://dx.doi.org/10.21037/atm-21-4962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756246/
https://www.ncbi.nlm.nih.gov/pubmed/35071446
http://dx.doi.org/10.21037/atm-21-4962

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