Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signal

Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signal

Abstract Background Atrial fibrillation (AF) represents the most common arrhythmia worldwide, related to increased risk of ischemic stroke or systemic embolism. It is critical to screen and diagnose AF for the benefits of better cardiovascular health in lifetime. The ECG-based AF detection, the gold...

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Bibliographic Details
Main Authors: Fangfang Jiang, Chuhang Hong, Tianqing Cheng, Haoqian Wang, Bowen Xu, Biyong Zhang
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BioMedical Engineering OnLine
Subjects:
Ballistocardiogram signal
Phase space reconstruction
Bi-LSTM
CNN
Feature fusion
Attention mechanism
Online Access:https://doi.org/10.1186/s12938-021-00848-w

Internet

https://doi.org/10.1186/s12938-021-00848-w

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