Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment

Photoplethysmography (PPG) is a noninvasive way to monitor various aspects of the circulatory system, and is becoming more and more widespread in biomedical processing. Recently, deep learning methods for analyzing PPG have also become prevalent, achieving state of the art results on heart rate esti...

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Detalles Bibliográficos
Autores principales: ZHANG, OLIVER, DING, CHENG, PEREIRA, TANIA, XIAO, RAN, GADHOUMI, KAIS, MEISEL, KARL, LEE, RANDALL J., CHEN, YIRAN, HU, XIAO
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978398/
https://www.ncbi.nlm.nih.gov/pubmed/33747683
http://dx.doi.org/10.1109/access.2021.3054613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978398/
https://www.ncbi.nlm.nih.gov/pubmed/33747683
http://dx.doi.org/10.1109/access.2021.3054613

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