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A dataset for atrial fibrillation detection research with 596 labelled 10-second ECGs from an ICU in Kingston, Ontario, Canada.
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相关数据集
Data_Sheet_1_Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events.pdf
BackgroundScreening the general public for atrial fibrillation (AF) may enable early detection and timely intervention, which could potentially decrease the incidence of stroke. Existing screening met
NIAID Data Ecosystem200
Detection rates of new cases of AF stratified by age groups–Specialist ECG verified AF cases (N = 10).
Detection rates of new cases of AF stratified by age groups–Specialist ECG verified AF cases (N = 10).
NIAID Data Ecosystem20
Lead-I ECG for detecting atrial fibrillation in patients attending primary care with an irregular pulse using single-time point testing: A systematic review and economic evaluation
BackgroundAtrial fibrillation (AF) is the most common type of cardiac arrhythmia and is associated with increased risk of stroke and congestive heart failure. Lead-I electrocardiogram (ECG) devices ar
Figshare2019-12-23 更新10
C-AF-GAF Dataset
C-AF-GAF dataset, a collection of 115,010 Gramian Angular Field (GAF) images designed for developing and benchmarking machine learning models for Atrial Fibrillation (AF) detection. The dataset is com
IEEE40
Comparison of network parameter quantities between the three AF-MSDC atrial fibrillation detection networks and the 1D-ResNet.
Comparison of network parameter quantities between the three AF-MSDC atrial fibrillation detection networks and the 1D-ResNet.
NIAID Data Ecosystem20
