Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques

Continuous noninvasive blood glucose monitoring and estimation management by using photoplethysmography (PPG) technology always have a series of problems, such as substantial time variability, inaccuracy, and complex nonlinearity. This paper proposes a blood glucose (BG) prediction model for more pr...

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Detalles Bibliográficos
Autores principales: Zhang, Yongjun, Gao, Guangheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017442/
https://www.ncbi.nlm.nih.gov/pubmed/35449869
http://dx.doi.org/10.1155/2022/8956850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017442/
https://www.ncbi.nlm.nih.gov/pubmed/35449869
http://dx.doi.org/10.1155/2022/8956850

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