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, opt...

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Bibliographic Details
Main Authors: Matthew Boubin, Sudhir Shrestha
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/10/2283