Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features

Non-invasive and accurate method for continuous blood glucose monitoring, the self-testing of blood glucose is in quest for better diagnosis, control and the management of diabetes mellitus (DM). Therefore, this study reports a multiple photonic band near-infrared (mbNIR) sensor augmented with perso...

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Detalles Bibliográficos
Autores principales: Srichan, Chavis, Srichan, Wachirun, Danvirutai, Pobporn, Ritsongmuang, Chanachai, Sharma, Amod, Anutrakulchai, Sirirat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810809/
https://www.ncbi.nlm.nih.gov/pubmed/35110583
http://dx.doi.org/10.1038/s41598-022-05570-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810809/
https://www.ncbi.nlm.nih.gov/pubmed/35110583
http://dx.doi.org/10.1038/s41598-022-05570-8

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