Continuous Blood Pressure Estimation Based on Multi-Scale Feature Extraction by the Neural Network With Multi-Task Learning

In this article, a novel method for continuous blood pressure (BP) estimation based on multi-scale feature extraction by the neural network with multi-task learning (MST-net) has been proposed and evaluated. First, we preprocess the target (Electrocardiograph; Photoplethysmography) and label signals...

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Detalles Bibliográficos
Autores principales: Jiang, Hengbing, Zou, Lili, Huang, Dequn, Feng, Qianjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120547/
https://www.ncbi.nlm.nih.gov/pubmed/35600611
http://dx.doi.org/10.3389/fnins.2022.883693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120547/
https://www.ncbi.nlm.nih.gov/pubmed/35600611
http://dx.doi.org/10.3389/fnins.2022.883693

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