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Atrial Fibrillation Detection

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Showing 1–25 of 43 papers

TitleStatusHype
Investigating Deep Learning Benchmarks for Electrocardiography Signal ProcessingCode2
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learningCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Construe: a software solution for the explanation-based interpretation of time seriesCode1
Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural NetworksCode1
Sparse learned kernels for interpretable and efficient medical time series processingCode1
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography DataCode1
Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTMCode1
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge DevicesCode1
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionCode1
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
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks—0
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection—0
AcousAF: Acoustic Sensing-Based Atrial Fibrillation Detection System for Mobile Phones—0
Photoplethysmography based atrial fibrillation detection: an updated review from July 2019—0
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG—0
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models—0
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation—0
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