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Atrial Fibrillation Detection

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Showing 26–43 of 43 papers

TitleStatusHype
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
Compressor-Based Classification for Atrial Fibrillation Detection—0
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG SignalCode0
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG—0
Atrial Fibrillation Detection Using RR-Intervals for Application in Photoplethysmographs—0
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks—0
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks—0
Log-Spectral Matching GAN: PPG-based Atrial Fibrillation Detection can be Enhanced by GAN-based Data Augmentation with Integration of Spectral LossCode0
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models—0
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks—0
A Novel Deep Arrhythmia-Diagnosis Network for Atrial Fibrillation Classification Using Electrocardiogram Signals—0
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks—0
ECGNET: Learning where to attend for detection of atrial fibrillation with deep visual attention—0
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection—0
Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks—0
A Simple Probabilistic Model for Uncertainty Estimation—0
Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy—0
A method for detection of atrial fibrillation using RR intervals—0
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