Spectral analysis of signal averaging electrocardiography in atrial and ventricular tachyarrhythmias

  • Background: Targeting complex fractionated atrial electrograms detected by automated algorithms during ablation of persistent atrial fibrillation has produced conflicting outcomes in previous electrophysiological studies. The aim of the investigation was to evaluate atrial and ventricular high frequency fractionated electrical signals with signal averaging technique. Methods: Signal averagingBackground: Targeting complex fractionated atrial electrograms detected by automated algorithms during ablation of persistent atrial fibrillation has produced conflicting outcomes in previous electrophysiological studies. The aim of the investigation was to evaluate atrial and ventricular high frequency fractionated electrical signals with signal averaging technique. Methods: Signal averaging electrocardiography (ECG) allows high resolution ECG technique to eliminate interference noise signals in the recorded ECG. The algorithm uses automatic ECG trigger function for signal averaged transthoracic, transesophageal and intracardiac ECG signals with novel LabVIEW software (National Instruments, Austin, Texas, USA). For spectral analysis we used fast fourier transformation in combination with spectro-temporal mapping and wavelet transformation for evaluation of detailed information about the frequency and intensity of high frequency atrial and ventricular signals. Results: Spectral-temporal mapping and wavelet transformation of the signal averaged ECG allowed the evaluation of high frequency fractionated atrial signals in patients with atrial fibrillation and high frequency ventricular signals in patients with ventricular tachycardia. The analysis in the time domain evaluated fractionated atrial signals at the end of the signal averaged P-wave and fractionated ventricular signals at the end of the QRS complex. The analysis in the frequency domain evaluated high frequency fractionated atrial signals during the P-wave and high frequency fractionated ventricular signals during QRS complex. The combination of analysis in the time and frequency domain allowed the evaluation of fractionated signals during atrial and ventricular conduction. Conclusions: Spectral analysis of signal averaging electrocardiography with novel LabVIEW software can utilized to evaluate atrial and ventricular conduction delays in patients with atrial fibrillation and ventricular tachycardia. Complex fractionated atrial electrograms may be useful parameters to evaluate electrical cardiac arrhythmogenic signals in atrial fibrillation ablation.show moreshow less

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Metadaten
Author:Jonas Tumampos, Matthias Heinke, Johannes Hörth
Editor:Matthias Heinke
Year of Publication:2017
Date of first Publication:2017/09/08
Language:English
GND Keyword:signal averaging; wavelet transformation
Tag:signal averaging; wavelet transformation
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
Parent Title (English):Abstracts - BMTMedPhys Jahrestagung der BIOMEDIZINISCHEN TECHNIK und Dreiländertagung der MEDIZINISCHEN PHYSIK 10. – 13. September 2017 • Dresden
Volume:Abstracts - BMTMedPhys 2017
ISSN:1862-278X
First Page:366
Last Page:366
Document Type:Other
Institutes:Hochschule Offenburg / Bibliografie
Acces Right:Frei zugänglich
Release Date:2018/01/23
Licence (German):License LogoEs gilt das UrhG
URL:http://www.dgbmt-dgmp.de/registrierung-abstracts/abstracts-und-conference-paper/
DOI:https://doi.org/DOI 10.1515/bmt-2017-5071