Discrimination of Sinus Rhythm, Atrial Flutter, and Atrial Fibrillation Using Bipolar Endocardial Signals
| Autor: | Armin Heisel, Jens Jung, R. Fries, H. Schieffer, G. Hohenberg, Daniel J. Strauss |
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| Rok vydání: | 1998 |
| Předmět: |
Male
medicine.medical_specialty Sensitivity and Specificity Diagnosis Differential Physiology (medical) Internal medicine Atrial Fibrillation Humans Cutoff Medicine Sinus rhythm Lead (electronics) Endocardium Sinoatrial Node business.industry P wave Atrial fibrillation Middle Aged medicine.disease Defibrillators Implantable Computer algorithm Electrophysiology Atrial Flutter Cardiology Female Cardiology and Cardiovascular Medicine business Algorithms Atrial flutter |
| Zdroj: | Journal of Cardiovascular Electrophysiology. 9:689-695 |
| ISSN: | 1540-8167 1045-3873 |
| DOI: | 10.1111/j.1540-8167.1998.tb00955.x |
| Popis: | Discrimination of NSR, AFL, and AF. Introduction: Analysis of endocardial signals obtained from an electrode located in the right atrium as realized in newly designed dual chamber, implantable cardioverter defibrillators might be used to provide additional therapeutic options, such as overdrive pacing or low-energy atrial cardioversion for the treatment of concomitant atrial flutter (AFL) or atrial fibrillation (AF). Therefore, we developed a computer algorithm for discrimination of normal sinus rhythm (NSR), AFL, and AF that may lead to adequate differential therapy of atrial tachyarrhythmias in an automated mode. Methods and Results: During an electrophysiologic study, bipolar endocardial signals from the high right atrium were obtained in 28 patients during sustained AFL or AF and after restoration of NSR. A total of 286 data segments of 5-second duration were recorded (NSR: 96, AFL: 86, AF: 104). Mean atrial cycle length (MCL), standard deviation of mean atrial cycle length (SDCK), and index of irregularity (IR). defined as the ratio between MCL and SDCL, were calculated for each data segment. A cutoff of 315 msec for MCL allowed discrimination of NSR from atrial tachyarrhythmias with 100% sensitivity and specificity. For discrimination of AF from AFI- by using SDCL, a cutoff value of 11.5 msec led to a sensitivity of 99% and a specificity of 90%. Best discrimination of AF from AFL was found for the criterion IR ≥ 7.5%, resulting in a sensitivity of 100% with a specificity of 95% for AF detection. Conclusion: The investigated algorithm provides discrimination of NSR, AFL, and AF with high sensitivity and specificity. Incorporation of this algorithm in an implantable automated antitachycardia device may lead to adequate differential therapy in patients suffering from spontaneous episodes of AF and AFL. |
| Databáze: | OpenAIRE |
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