Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling

Recognizing specific heart sound patterns is important for the diagnosis of structural heart diseases. However, the correct recognition of heart murmur depends largely on clinical experience. Accurately identifying abnormal heart sound patterns is challenging for young and inexperienced clinicians....

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Detalles Bibliográficos
Autores principales: Wang, Jou-Kou, Chang, Yun-Fan, Tsai, Kun-Hsi, Wang, Wei-Chien, Tsai, Chang-Yen, Cheng, Chui-Hsuan, Tsao, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732853/
https://www.ncbi.nlm.nih.gov/pubmed/33311565
http://dx.doi.org/10.1038/s41598-020-77994-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732853/
https://www.ncbi.nlm.nih.gov/pubmed/33311565
http://dx.doi.org/10.1038/s41598-020-77994-z

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