Title :
Orthogonal component analysis to remove ventricular far field in non periodic sustained atrial flutter
Author :
Gustavo Lenis;Tobias Oesterlein;Dan-Timon Rudolph;Olaf D?ssel
Author_Institution :
Institute of Biomedical Engineering (IBT), Karlsruhe Institute of Technology (KIT), Germany
Abstract :
Automatic signal processing of intracardiac electrograms plays a decisive role in the diagnosis and treatment of supraventricular arrhythmias. During sustained atrial flutter, a repetitive signal is measured in the atrium. However, the ventricular far field may overlap with the atrial activity and compromises the automatic signal processing tools during the intervention. Recently, a new method based on periodic component analysis was proposed as an artifact removal technique. The method works satisfactorily with highly periodic atrial activities but fails to reconstruct not regularly repeating signals . In order to account for that case, we developed a new method based on orthogonal component analysis to reconstruct the corrupted atrial electrocardiograms obscured by ventricular far field. We tested the method on synthetic signals and proved it to be successful. The reconstructed signals were of higher quality and the computation time was drastically shorter than the already existing periodic component analysis. We conclude that the new method can be used in realistic scenarios in the future.
Keywords :
"Principal component analysis","Correlation","Standards","Electrocardiography","Algorithm design and analysis","Distance measurement","Signal processing"
Conference_Titel :
Computing in Cardiology Conference (CinC), 2015
Print_ISBN :
978-1-5090-0685-4
Electronic_ISBN :
2325-887X
DOI :
10.1109/CIC.2015.7410999