Detection of paroxysmal atrial fibrillation by Lorenz plot imaging of ECG R-R intervals
Published: Mar 27, 2019
Abstract
Detection of atrial fibrillation (AF) is a critical issue of healthcare because it is an increased risk of serious brain infarction due to cerebral embolism despite that it is the commonest sustained arrhythmia. To improve the reliability of the detection of AF by the long-term monitoring of heartbeat signals, we developed machine-learning systems for detecting AF using the Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR) database...
Paper Details
Title
Detection of paroxysmal atrial fibrillation by Lorenz plot imaging of ECG R-R intervals
Published Date
Mar 27, 2019
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