| Atrial near-field and ventricular far-field analysis by automated signal processing at rest and during exercise. | |
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MedLine Citation:
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PMID: 16630085 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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INTRODUCTION: Sophisticated monitoring of atrial activity is a prerequisite for modern pacemaker therapy. Ideally, near-fields and ventricular far-fields ought to be distinguished by beat-to-beat template analysis of the atrial signal. A prerequisite is that atrial signals are stable under different conditions. METHODS AND RESULTS: A Matlab routine was developed to analyze atrial electrograms of 23 patients at least 3 months after implantation of a dual chamber pacemaker under several conditions including at rest, bipolar at rest, in an upright position, during treadmill exercise, and postexercise. A near-field and far-field template was created and amplitudes, widths, and slew rates were measured. In bipolar configuration, near-field amplitude at rest was 3.04 +/- 0.94 mV (unipolar)/3.36 +/- 1.0 mV (bipolar) versus 3.18 +/- 1.0 mV (bipolar) at peak exercise. Far-field amplitude at rest was 1.66 +/- 1.18 (unipolar)/0.47 +/- 0.27 mV (bipolar) and 0.41 +/- 0.21 mV (bipolar) at peak exercise (n.s. for bipolar measurements). No overall significant changes were observed for near- and far-field widths and slew rates during exercise. Shorter tip-ring distances of the atrial bipole, lead position, and the presence of sinus node disease did not have any impact on overall near- and far-field signal characteristics. Intraindividual differences between rest and peak exercise were moderate (range: near-field +0.15 to -0.54 mV; range: far-field +0.05 to -0.18 mV). CONCLUSIONS: Atrial near and far fields can be automatically classified and quantified by automated signal processing. Signals did not change during exercise or change of posture. This is a prerequisite for the implementation of beat-to-beat template analysis into pacemakers. |
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Authors:
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Frank Eberhardt; Hendrik Bonnemeier; Martin Lipphardt; Ulrich G Hofmann; Heribert Schunkert; Uwe K H Wiegand |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc Volume: 11 ISSN: 1082-720X ISO Abbreviation: Ann Noninvasive Electrocardiol Publication Date: 2006 Apr |
Date Detail:
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Created Date: 2006-04-24 Completed Date: 2006-06-02 Revised Date: 2008-03-10 |
Medline Journal Info:
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Nlm Unique ID: 9607443 Medline TA: Ann Noninvasive Electrocardiol Country: United States |
Other Details:
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Languages: eng Pagination: 118-26 Citation Subset: IM |
Affiliation:
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University Hospital Schleswig Holstein, Campus Luebeck, Medicine II, Luebeck, Germany. eberhard@uni-luebeck.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Aged Algorithms Atrial Fibrillation / diagnosis*, physiopathology Electrocardiography* Exercise Test / methods* Feasibility Studies Female Humans Male Pacemaker, Artificial* Posture Signal Processing, Computer-Assisted Statistics, Nonparametric Ventricular Fibrillation / diagnosis*, physiopathology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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