Removing ventricular far-field signals in intracardiac electrograms during stable atrial tachycardia using the periodic component analysis

Tobias Georg Oesterlein; Gustavo Lenis; Dan-Timon Rudolph; Armin Luik; Bhawna Verma; Claus Schmitt; Olaf Dössel

doi:10.1016/j.jelectrocard.2014.12.004

Removing ventricular far-field signals in intracardiac electrograms during stable atrial tachycardia using the periodic component analysis

J Electrocardiol. 2015 Mar-Apr;48(2):171-80. doi: 10.1016/j.jelectrocard.2014.12.004. Epub 2014 Dec 10.

Authors

Tobias Georg Oesterlein¹, Gustavo Lenis², Dan-Timon Rudolph³, Armin Luik⁴, Bhawna Verma⁵, Claus Schmitt⁶, Olaf Dössel⁷

Affiliations

¹ Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiser Str. 12, Karlsruhe, Germany. Electronic address: tobias.oesterlein@kit.edu.
² Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiser Str. 12, Karlsruhe, Germany. Electronic address: gustavo.lenis@kit.edu.
³ Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiser Str. 12, Karlsruhe, Germany. Electronic address: dan-timon.rudolph@student.kit.edu.
⁴ Städtisches Klinikum Karlsruhe, Karlsruhe, Germany. Electronic address: armin.luik@klinikum-karlsruhe.de.
⁵ Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiser Str. 12, Karlsruhe, Germany. Electronic address: bhawna.verma@student.kit.edu.
⁶ Städtisches Klinikum Karlsruhe, Karlsruhe, Germany. Electronic address: Claus.Schmitt@klinikum-karlsruhe.de.
⁷ Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiser Str. 12, Karlsruhe, Germany. Electronic address: olaf.doessel@kit.edu.

PMID: 25595719
DOI: 10.1016/j.jelectrocard.2014.12.004

Abstract

Background: Intracardiac electrograms are an indispensable part during diagnosis of supraventricular arrhythmias, but atrial activity (AA) can be obscured by ventricular far-fields (VFF). Concepts based on statistical independence like principal component analysis (PCA) cannot be applied for VFF removal during atrial tachycardia with stable conduction.

Methods: A database of realistic electrograms containing AA and VFF was generated. Both PCA and the new technique periodic component analysis (πCA) were implemented, benchmarked, and applied to clinical data.

Results: The concept of πCA was successfully verified to retain compromised AA morphology, showing high correlation (cc=0.98±0.01) for stable atrial cycle length (ACL). Performance of PCA failed during temporal coupling (cc=0.03±0.08) but improved for increasing conduction variability (cc=0.77±0.14). Stability of ACL was identified as a critical parameter for πCA application. Analysis of clinical data confirmed these findings.

Conclusion: πCA is introduced as a powerful new technique for artifact removal in periodic signals. Its concept and performance were benchmarked against PCA using simulated data and demonstrated on measured electrograms.

Keywords: Atrial flutter; Intracardiac electrogram; Periodic component analysis; Principal component analysis; Ventricular far-field.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Aged
Artifacts*
Atrial Flutter / diagnosis*
Atrial Flutter / physiopathology
Benchmarking
Electrocardiography / methods*
Female
Humans
Male
Middle Aged
Principal Component Analysis
Signal Processing, Computer-Assisted
Tachycardia, Supraventricular / diagnosis
Tachycardia, Supraventricular / physiopathology