Article

AFibNet: An Implementation of Atrial Fibrillation Detection With Convolutional Neural Network

2021-02-15

Abstract excerpt

<h4>Background: </h4> Generalization model capacity of deep learning (DL) approach for atrial fibrillation (AF) detection remains lacking. It can be seen from previous researches, the DL model formation used only a single frequency sampling of the specific device. Besides, each electrocardiogram (ECG) acquisition dataset produces a different length and sampling frequency to ensure sufficient precision of the R-R i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 62acb0c3-2868-5254-98f9-ecf2a4f3432a
DOI: 10.21203/rs.3.rs-228165/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AFibNet: An Implementation of Atrial Fibrillation Detection With Convolutional Neural NetworkDOI 10.21203/rs.3.rs-228165/v1Read

CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer IntegrationSemantic proximity Read

Lightweight Deep Learning for Atrial Fibrillation Detection from Single-Lead Wearable ECG: A Systematic Benchmark of Convolutional, Temporal, and State-Space ArchitecturesSemantic proximity Read

Machine Learning, Deep Learning, and Hybrid Approaches for ECG-Based Cardiac Arrhythmia Detection: Techniques, Challenges, and Future PerspectivesSemantic proximity Read

A Fast, Lightweight, and Generalizable Deep Neural Network for the Detection of Atrial FibrillationSemantic proximity Read

Hardware Aspects of Machine Learning-Based Cardiac Fibrillation DiagnosisSemantic proximity Read

Deep Learning Approach based on 1D Convolutional Neural Networks for predicting Sudden Cardiac ArrestSemantic proximity Read

A Hybrid Model Combining 1D-CNN and BERT for Intelligent ECG Arrhythmia ClassificationSemantic proximity Read

A Pooling Convolution Model for Multi-classification of ECG and PCG SignalsSemantic proximity Read

AI-Enhanced ECG Intelligence: Optimized Deep Learning Pipelines for Early and Reliable Detection of Cardiac DisordersSemantic proximity Read

Identifying Atrial Fibrillation using Integrated Methods of 12-lead and Single-lead ECG during Normal Sinus Rhythm based on Artificial IntelligenceSemantic proximity Read

Detecting QT prolongation From a Single-lead ECG With Deep LearningSemantic proximity Read

Deep Learning Approaches for Electrocardiogram (ECG) Analysis: Challenges and ApplicationsSemantic proximity Read