An Embedded System for Real-Time Atrial Fibrillation Diagnosis Using a Multimodal Approach to ECG Data

An Embedded System for Real-Time Atrial Fibrillation Diagnosis Using a Multimodal Approach to ECG Data

Cardiovascular diseases pose a significant global health threat, with atrial fibrillation representing a critical precursor to more severe heart conditions. In this work, a multimodality-based deep learning model has been developed for diagnosing atrial fibrillation using an embedded system consisti...

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Bibliographic Details
Main Authors: Monalisa Akter, Nayeema Islam, Abdul Ahad, Md. Asaduzzaman Chowdhury, Fahim Foysal Apurba, Riasat Khan
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Eng
Subjects:
atrial fibrillation
CNN–bidirectional LSTM
ECG signal processing
multimodal approach
raspberry Pi 4B edge device
remote health monitoring
Online Access:https://www.mdpi.com/2673-4117/5/4/143
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