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Spectral Analysis of Signal Averaging Electrocardiography in Atrial and Ventricular Tachycardia Arrhythmias

  • Jonas Tumampos
  • Matthias HeinkeEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 68/2)

Abstract

Targeting complex fractionated atrial electrocardiograms detected by automated algorithms during ablation of persistent atrial fibrillation has produced conflicting outcomes in previous electrophysiological studies and catheter ablation of atrial fibrillation and ventricular tachycardia. The aim of the investigation was to evaluate atrial and ventricular high frequency fractionated electrical signals with signal averaging technique. Methods: Signal averaging electrocardigraphy allows high resolution ECG technique to eliminate interference noise signals in the recorded ECG. The algorithm use automatic ECG trigger function for signal averaged transthoracic, transesophageal and intra-cardiac ECG signals with novel LabVIEW software. Results: 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. We evaluated atrial flutter in the time domain with two-to-one atrioventricular conduction, 212.0 ± 4.1 ms atrial cycle length, 426.0 ± 8.2 ms ventricular cycle length, 58.2 ± 1.8 ms P-wave duration, 119.6 ± 6.4 ms PQ duration, 103.0 ± 2.4 ms QRS duration and 296.4 ± 6.8 ms QT duration. 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. Conclusions: Spectral analysis of signal averaging electrocardiography with novel LabVIEW software can be utilized to evaluate atrial and ventricular conduction delays in patients with atrial fibrillation and ventricular tachycardia. Complex fractionated atrial and ventricular electrocardiograms may be useful parameters to evaluate electrical cardiac bradycardia and tachycardia signals in atrial fibrillation and ventricular tachycardia ablation.

Keywords

Signal averaging ECG Spectral-temporal mapping Fractionated ventricular signals Fractionated atrial signals Atrial fibrillation Ventricular tachycardia 

Notes

Author’s Statement

Authors state no conflict of interest. The research related to human use has been complied with all the relevant national regulations, institutional policies and in accordance the tenets of the Helsinki Declaration, and has been approved by the authors’ institutional review board or equivalent committee.

References

  1. 1.
    Heinke, M., Ismer. B., Kühnert, H., Figulla, H.R.: Transesophageal left ventricular electrogramm-recording and temporary pacing to improve patient selection for cardiac resynchronization. Med Biol Eng Comput 49: 851–858 (2011).Google Scholar
  2. 2.
    Heinke, M., Surber, R., Kühnert, H., Dannberg, G., Prochnau D., Figulla, H.R.: Transesophageal left ventricular posterior wall potential in heart failure patients with biventricular pacing. Biomed. Techn. 52: 173–179 (2007).Google Scholar
  3. 3.
    Heinke, M., Kühnert, H., Heinke, T., Tumampos, J., Dannberg, G.: Left cardiac atrioventricular delay and interventricular delay in cardiac resynchronization therapy responder and non-responder. Current Directions in Biomedical Engineering. 2(1): 247–250 (2016).Google Scholar
  4. 4.
    Almeida, T.P., Chu, G.S., Salinet, J.L., Vanheusden, F.J., Li, X., Tuan, J.H., Stafford, P.J., Ng, G.A., Schlindwein, F.S.: Minimizing discordances in automated classification of fractionated electrograms in human persistent atrial fibrillation. Med Biol Eng Comput 54:1695–1706 (2016).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electrical Engineering and Information TechnologyBiomedical Engineering of University of Applied Sciences OffenburgOffenburgGermany

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