A Machine Learning Approach Towards the Quality Assessment of ECG Signals Collected Using Wearable Devices for Firefighters

This work focuses on assessing the ECG signal quality of data collected with wearable devices specifically tailored for firefighters using machine learning techniques. Firefighters are at a heightened cardiac risk due to their challenging working conditions, making wearable sensors crucial for ongoi...

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Bibliographic Details
Main Authors: Camila Abreu, Hugo Plácido da Silva
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Signals
Subjects:
Online Access:https://www.mdpi.com/2624-6120/6/2/20
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