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Atrial Fibrillation Detection

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HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks

12 Feb 2020

The cardiologist level performance in detecting this arrhythmia is often achieved by deep learning-based methods, however, they suffer from the lack of interpretability.

ATRIAL FIBRILLATION DETECTION

Atrial Fibrillation Detection Using Deep Features and Convolutional Networks

28 Mar 2019

The first approach used a pretrained DenseNet model to extract features that were then classified using Support Vector Machines, and the second approach used the spectrograms as direct input into a convolutional network.

ARRHYTHMIA DETECTION ATRIAL FIBRILLATION DETECTION

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

12 Dec 2018

In this article, we propose a novel ECG classification framework for atrial fibrillation (AF) detection using spectro-temporal representation (i. e., time varying spectrum) and deep convolutional networks.

ATRIAL FIBRILLATION DETECTION ECG CLASSIFICATION

ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention

arXiv:1812.07422 2018

The complexity of the patterns associated with Atrial Fibrillation (AF) and the high level of noise affecting these patterns have significantly limited the current signal processing and shallow machine learning approaches to get accurate AF detection results.

ARRHYTHMIA DETECTION ATRIAL FIBRILLATION DETECTION

Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks

Frontiers in Physiology 2018

The proposed method analyzed the time-frequency features of the electrocardiogram (ECG), thus being different to conventional AF detecting methods that implement isolating atrial or ventricular activities.

ATRIAL FIBRILLATION DETECTION ELECTROCARDIOGRAPHY (ECG)

End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables

27 Jul 2018

We present a convolutional-recurrent neural network architecture with long short-term memory for real-time processing and classification of digital sensor data.

ATRIAL FIBRILLATION DETECTION FEATURE ENGINEERING PHOTOPLETHYSMOGRAPHY (PPG)

A Simple Probabilistic Model for Uncertainty Estimation

24 Jul 2018

The article focuses on determining the predictive uncertainty of a model on the example of atrial fibrillation detection problem by a single-lead ECG signal.

ATRIAL FIBRILLATION DETECTION

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks

7 May 2018

We also demonstrate the cross-domain generalizablity of the approach by adapting the learned model parameters from one recording modality (ECG) to another (photoplethysmogram) with improved AF detection performance.

ATRIAL FIBRILLATION DETECTION ELECTROCARDIOGRAPHY (ECG)

Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy

BioMedical Engineering OnLine 2014

Results Four publicly-accessible sets of clinical data (Long-Term AF, MIT-BIH AF, MIT-BIH Arrhythmia, and MIT-BIH Normal Sinus Rhythm Databases) were selected for investigation.

ATRIAL FIBRILLATION DETECTION