Microcontroller Implementation of Support Vector Machine for Detecting Blood Glucose Levels Using Breath Volatile Organic Compounds

This paper presents an embedded system-based solution for sensor arrays to estimate blood glucose levels from volatile organic compounds (VOCs) in a patient’s breath. Support vector machine (SVM) was trained on a general-purpose computer using an existing SVM library. A training model, optimized to...

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Detalles Bibliográficos
Autores principales: Boubin, Matthew, Shrestha, Sudhir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567346/
https://www.ncbi.nlm.nih.gov/pubmed/31108929
http://dx.doi.org/10.3390/s19102283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567346/
https://www.ncbi.nlm.nih.gov/pubmed/31108929
http://dx.doi.org/10.3390/s19102283

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