Sudden death remains a phenomenon of disturbing proportions, displaying a mean incidence of 300,000-350,000 persons/year in the USA (0.1-0.2% of the general population). In Europe, the figures are very similar. In 90% of cases, sudden death has an arrhythmic cause. Prevention of Sudden Cardiac Death (SCD) constitutes one of the most important challenges of modern cardiology. In order to make a real progress in this field it is crucial to precisely identify increased risk for serious ventricular tachyarrhythmias. In this study the effectiveness of different methods of the non-linear analysis (NLA) of ECG in the risk stratification of patients with ventricular arrhythmias is evaluated, and these non-invasive parameters are correlated with the results of invasive electrophysiological study (EPS). We evaluated 25 patients with history of cardiac arrest, syncope, sustained or nonsustained ventricular tachycardia (VT). The study group was compared with a control group of 25 healthy subjects. All patients underwent both electrophysiologic study (EPS) and non-linear analysis (NLA) of ECG. Patients were classified through the application of a clustering procedure to the whole set of functions, and a comparison between the results of non-linear analysis of ECG and EPS was performed. Results are presented and discussed.
|Titolo:||Non-invasive assessment of risk for severe tachyarrhythmias by means of non-linear analysis techniques|
PIZZI, RITA MARIA ROSA (Primo)
|Parole Chiave:||ECG ; Sudden cardiac death ; Ventricular tachyarrythmias ; Nonlinear analysis ; Chaos theory ; Clustering ; Artificial neural networks ; Attractors|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2008|
|Appare nelle tipologie:||01 - Articolo su periodico|