Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose

Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose

Volatile organic compounds (VOCs) in exhaled human breath serve as pivotal biomarkers for disease identification and medical diagnostics. In the context of diabetes mellitus, the noninvasive detection of acetone, a primary biomarker using electronic noses (e-noses), has gained significant attention....

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Bibliographic Details
Main Authors: Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Raquel Ochoa-Ornelas, Jorge Ivan Cuevas-Chávez, Daniel Alejandro Sánchez-Arias
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
electronic nose
diabetes mellitus
TinyML
exhaled-breath analysis
VOCs
TensorFlowLite
Online Access:https://www.mdpi.com/1424-8220/24/4/1294

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