Adaptive Recursive Least Squares Denoising in Ventricular Fibrillation ECG Signals

Adaptive Recursive Least Squares Denoising in Ventricular Fibrillation ECG Signals

Abstract Cardiac arrest is a fatal and urgent disease in humans. A high‐quality electrocardiogram (ECG) has a positive guide to the success of defibrillation and resuscitation. However, because of artificial motion interference and ambient noise, reliable ECG signals can be obtained only during ches...

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Bibliographic Details
Main Authors:	Youde Ding, Yuan Liao, Yongqin Li, Jing Wang, Ji He, Guoxi Xie, Guiying Zhang
Format:	Article
Language:	English
Published:	Wiley-VCH 2023-05-01
Series:	Advanced Sensor Research
Subjects:	adaptive recursive least squares cardiac arrest electrocardiograms ventricular fibrillation
Online Access:	https://doi.org/10.1002/adsr.202200035

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