title: [Extraction of AF signal during atrial fibrillation from single-lead ECG based on non-stationary heartbeat series].
abstract: The real-time and wireless mobile has become the trend of electrocardiogram (ECG) monitoring system for atrial fibrillation (AF). At present, the ECG with multi-leads (12 leads) is needed by most of AF signal extraction algorithms in order to extract effective AF waves. However, it is not very convenient for patients' movements in a multi-lead ECG monitoring system. Although the traditional template matching method is for single-lead ECG extraction, it is less robust than blind source extraction algorithm, and is affected severely by noise. In view of this,we put forth a new real-time algorithm for extracting AF from the singlelead ECG, using non-stationary heartbeat series during AF to extend dimension (segmentation), and then applying a blind source extraction algorithm to extract the effective AF signal. Experiment results showed that this method could be used to extract AF signal effectively from a single-lead ECG data. Therefore, it is suitable to apply this method to Wireless Monitoring System using single-lead ECG.
authors.affiliation: School of Life Science and Technology in University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Guangxiong
authors.initials: G
authors.lastname: Liu
authors.forename: Nini
authors.initials: N
authors.lastname: Rao
authors.forename: Gang
authors.initials: G
authors.lastname: Wang
authors.forename: Yuhe
authors.initials: Y
authors.lastname: Wang
authors.forename: Dasong
authors.initials: D
authors.lastname: Liang
authors.forename: Lixue
authors.initials: L
authors.lastname: Yin
authors.forename: Xu
authors.initials: X
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D001281:Atrial Fibrillation / Q000503:physiopathology*; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted