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Atrial Fibrillation Detection

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Showing 26–43 of 43 papers

TitleStatusHype
Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals—0
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation—0
A method for detection of atrial fibrillation using RR intervals—0
A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals—0
A Novel Deep Arrhythmia-Diagnosis Network for Atrial Fibrillation Classification Using Electrocardiogram Signals—0
A Review on Multisensor Data Fusion for Wearable Health Monitoring—0
A Simple Probabilistic Model for Uncertainty Estimation—0
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks—0
Atrial Fibrillation Detection Using RR-Intervals for Application in Photoplethysmographs—0
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks—0
Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks—0
Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy—0
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG—0
Compressor-Based Classification for Atrial Fibrillation Detection—0
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals—0
DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals—0
ECGNET: Learning where to attend for detection of atrial fibrillation with deep visual attention—0
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals—0
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