Non-Invasive Blood Pressure Sensing via Machine Learning

In this paper, a machine learning (ML) approach to estimate blood pressure (BP) using photoplethysmography (PPG) is presented. The final aim of this paper was to develop ML methods for estimating blood pressure (BP) in a non-invasive way that is suitable in a telemedicine health-care monitoring cont...

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Detalles Bibliográficos
Autores principales: Attivissimo, Filippo, D’Alessandro, Vito Ivano, De Palma, Luisa, Lanzolla, Anna Maria Lucia, Di Nisio, Attilio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574845/
https://www.ncbi.nlm.nih.gov/pubmed/37837172
http://dx.doi.org/10.3390/s23198342

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574845/
https://www.ncbi.nlm.nih.gov/pubmed/37837172
http://dx.doi.org/10.3390/s23198342

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