Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning

BACKGROUND: Continuous wavelet transform (CWT) based scalogram can be used for photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with deep learning. We aimed to investigate the determinants that can improve the accuracy of BP classification based on PPG and deep learni...

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Detalles Bibliográficos
Autores principales: Wu, Jiaze, Liang, Hao, Ding, Changsong, Huang, Xindi, Huang, Jianhua, Peng, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360747/
https://www.ncbi.nlm.nih.gov/pubmed/34394983
http://dx.doi.org/10.1155/2021/9938584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360747/
https://www.ncbi.nlm.nih.gov/pubmed/34394983
http://dx.doi.org/10.1155/2021/9938584

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