Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications

Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications

The advent of Tiny Machine Learning (TinyML) has unlocked the potential to deploy machine learning models on resource-constrained edge devices, revolutionizing real-time monitoring in Internet of Medical Things (IoMT) applications. This study introduces a novel approach to real-time electrocardiogra...

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Bibliographic Details
Main Authors: Moez Hizem, Leila Bousbia, Yassmine Ben Dhiab, Mohamed Ould-Elhassen Aoueileyine, Ridha Bouallegue
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
TinyML
edge AI
IoMT
anomaly detection
ECG
low-power
Online Access:https://www.mdpi.com/1424-8220/25/8/2496
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