title: [Automatic classification of the greatly amplified ECG in relation to time and frequency].
abstract: The non-invasive recording of cardiac micro-potentials from the surface of the body, in particular of the so-called ventricular late potentials from the highly amplified ECG, makes it possible to identify those patients at high risk from severe arrhythmics or sudden death. By using more extensive automatic parameter extraction methods, we were able to increase the detection rate of pathological ECGs. We were also able to show that the calculation of the power density spectrum, in particular on the basis of maximum entropy spectral estimation, in combination with the variance extraction method of eliminating the influence of residual noise, is capable of providing separate additional valuable information.
authors.affiliation: Institut für Herz-Kreislauf-Forschung, Berlin-Buch.
authors.forename: A
authors.initials: A
authors.lastname: Voss
authors.forename: J
authors.initials: J
authors.lastname: Kurths
authors.forename: H
authors.initials: H
authors.lastname: Fiehring
authors.forename: H J
authors.initials: HJ
authors.lastname: Kleiner
mesh_terms: D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation*; D006329:Heart Conduction System / Q000503:physiopathology; D006352:Heart Ventricles / Q000503:physiopathology; D006801:Humans; D009203:Myocardial Infarction / Q000175:diagnosis / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013610:Tachycardia / Q000175:diagnosis / Q000503:physiopathology
vernacular_title: Die automatische Klassifizierung des hochverstärkten EKG im Zeit- und Frequenzbereich.