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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
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionCode1
Sparse learned kernels for interpretable and efficient medical time series processingCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural NetworksCode1
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learningCode1
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge DevicesCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTMCode1
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography DataCode1
Construe: a software solution for the explanation-based interpretation of time seriesCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksCode1
DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals—0
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals—0
Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals—0
A Review on Multisensor Data Fusion for Wearable Health Monitoring—0
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation—0
AcousAF: Acoustic Sensing-Based Atrial Fibrillation Detection System for Mobile Phones—0
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System SignalsCode0
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals—0
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG—0
A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals—0
Photoplethysmography based atrial fibrillation detection: an updated review from July 2019—0
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