The value of P wave parameters combined with artificial intelligence algorithm in atrial fibrillation detection
GUO Ye-dan
GUO Jun-han
ZHANG Shu-long
Abstract：Atrial fibrillation is the most common arrhythmia.P wave on ECG represents atrial depolarization,including atrial electrical activity and structural characteristics.Abnormal P wave parameters have been shown to be of great value in assessing whether patients have or are about to have atrial fibrillation.However,the detection of atrial activity in electrocardiogram is challenging due to technical and biological reasons.With the continuous development of machine learning and deep learning technologies in atrial fibrillation detection,the development of innovative methods focusing on detecting P waves may provide a more accurate classifier without compromising model transparency.This review mainly explored the value of artificial intelligence technology combined with P-wave parameter characteristics in the detection of atrial fibrillation.
Keywords：P waveArtificial intelligenceAtrial fibrillation
Publication Date：2024-03-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 207-212 )