Demonstration of circadian rhythm in heart rate turbulence using novel application of correlator functions.

Watanabe, MA; Alford, M; Schneider, R; Bauer, A; Barthel, P; Stein, PK; Schmidt, G

doi:10.1016/j.hrthm.2006.11.016

journal article

Dokumenttyp:: Journal Article; Research Support, Non-U.S. Gov't; Article
Autor(en):: Watanabe, MA; Alford, M; Schneider, R; Bauer, A; Barthel, P; Stein, PK; Schmidt, G
Titel:: Demonstration of circadian rhythm in heart rate turbulence using novel application of correlator functions.
Abstract:: BACKGROUND: Demonstration of a circadian rhythm in two parameters of heart rate turbulence--turbulence onset (TO) and turbulence slope (TS)--has been difficult. OBJECTIVE: The aim of this study was to devise a new method for detecting circadian rhythm in noisy data and to apply it to selected Holter recordings from two postmyocardial infarction databases: Cardiac Arrhythmia Suppression Trial (CAST, n = 684) and Innovative Stratification of Arrhythmic Risk (ISAR, n = 327). METHODS: For each patient, TS and TO were calculated for each hour with >4 ventricular premature contractions (VPCs). An autocorrelation function Corr(Deltat) = then was calculated and averaged over all patients. Positive Corr(Deltat) indicates that TS at a given hour and Deltat hours later are similar. TO was treated likewise. Simulations and mathematical analysis showed that a circadian rhythm required Corr(Deltat) to have a U-shape consisting of positive values near Deltat = 0 and 23 and negative values for intermediate Deltat. Significant deviation of Corr(Deltat) from the correlator function of pure noise was evaluated as a Chi-square value. RESULTS: Circadian patterns were not apparent in hourly averages of TS and TO plotted against clock time, which had large error bars. However, their correlator functions produced Chi-square values of approximately 10 in CAST (both P <.0001) and approximately 3 in ISAR (both P <.0001), indicating the presence of circadian rhythmicity. CONCLUSION: Correlator functions may be a powerful tool for detecting the presence of circadian rhythms in noisy data, even with recordings limited to 24 hours.
Zeitschriftentitel:: Heart Rhythm
Jahr:: 2007
Band / Volume:: 4
Heft / Issue:: 3
Seitenangaben Beitrag:: 292-300
Sprache:: eng
Volltext / DOI:: doi:10.1016/j.hrthm.2006.11.016
PubMed:: http://view.ncbi.nlm.nih.gov/pubmed/17341391
Print-ISSN:: 1547-5271
TUM Einrichtung:: I. Medizinische Klinik und Poliklinik (Kardiologie)
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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Medicine and Health Departments Clinical Medicine Klinik und Poliklinik für Innere Medizin I, Kardiologie (Prof. Laugwitz)2007