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Atrial Fibrillation Detection

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Showing 1–43 of 43 papers

TitleStatusHype
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
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
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
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionCode1
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
Sparse learned kernels for interpretable and efficient medical time series processingCode1
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
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
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks—0
Investigating Deep Learning Benchmarks for Electrocardiography Signal ProcessingCode2
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge DevicesCode1
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
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
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
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
A Simple Probabilistic Model for Uncertainty Estimation—0
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksCode1
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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