Abstract
86 14 14 22/73 Roelke et al, JACC 1994 92 7 – 59/1102 Anderson et al, JACC, 1995 – – 25 38/286 Meyerfeldt et al, EHJ, 1997 85 13 2 90/260 Taylor et al, JCE, 2000 56 – – 52/68 Saeed et al, AJC, 2000 – – 8 309/4973 Gronefeld et al, PACE 2002 complex and includes a multitude of time-varying components. Analysis of changes in these components has proven useful for analysis of the autonomic nervous system activity, as well as stress responses that might be related to clinically significant ischemic and arrhythmic events. However, because of the multicomponent structure of cardiac rhythm, tracking changes in this signal, in particular abrupt and irregular perturbations, is technically challenging. One important goal of the time-series analysis of cardiac rhythm is an identification of patterns and mechanisms predisposing to the initiation of ventricular tachyarrhythmias (VTA). Changes in cardiac rhythm have been consistently found before the onset of VTA in different patient populations. The predominant pattern of changes
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