Edge-AI Enabled Wearable Device for Non-Invasive Type 1 Diabetes Detection Using ECG Signals

Edge-AI Enabled Wearable Device for Non-Invasive Type 1 Diabetes Detection Using ECG Signals

Diabetes is a chronic condition, and traditional monitoring methods are invasive, significantly reducing the quality of life of the patients. This study proposes the design of an innovative system based on a microcontroller that performs real-time ECG acquisition and evaluates the presence of diabet...

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Bibliographic Details
Main Authors: Maria Gragnaniello, Vincenzo Romano Marrazzo, Alessandro Borghese, Luca Maresca, Giovanni Breglio, Michele Riccio
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Bioengineering
Subjects:
real-time diabetes detection
Edge-AI
deep learning
ECG
32-bit microcontroller
spectrogram
Online Access:https://www.mdpi.com/2306-5354/12/1/4
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