title: [Validation of trend-supported ST segment analysis of long-term ECG recordings].
abstract: Trend recordings of relative ST-segment deviations represent a useful tool for the identification of ischemia-like episodes during Holter monitoring. For the generation of trend recordings beat-to-beat data are filtered. The influence of the time constant of the filter on the sensitivity and the specificity for the detection of ischemia-like ECG changes is unknown, however. Ischemia-like episodes were, therefore, simulated and recorded by a frequency modulated Holter recorder and by a conventional six-channel ECG system. Relative ST-segment deviations were filtered using a time constant of 8, 16, 32 or 64 s, or an arithmetic averaging over 9 s for the generation of ST-segment trends. The magnitude of short-lasting ST-segment deviations was underestimated, when beat-to-beat data were filtered using time constants of greater than or equal to 32 s. The influence of posture-related ECG changes on the ST-segment trends was investigated by recording lead CM5 in 14 consecutive patients in different positions by a conventional ECG system. Four out of the 14 patients developed ST-segment elevations greater than or equal to 0.1 mV during leftsided position. Only in these four patients were ST-segment deviations of similar magnitude recorded during the following Holter monitoring. The posture-related ST-segment changes were characterized by an abrupt onset and an abrupt end, resulting in a box-like shape which enabled their correct identification in the ST-segment trend analysis. In order to determine the relative frequency of posture-related ST-segment changes, 35 patients with coronary artery disease (CAD) and 35 patients without underwent Holter monitoring.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: Medizinische Klinik, Universität Heidelberg, Abteilung III (Kardiologie, Angiologie, Pulmologie).
authors.forename: E
authors.initials: E
authors.lastname: Hoberg
authors.forename: B
authors.initials: B
authors.lastname: Kunze
authors.forename: W
authors.initials: W
authors.lastname: Kübler
mesh_terms: D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D003327:Coronary Disease / Q000175:diagnosis*; D004562:Electrocardiography / Q000295:instrumentation*; D005500:Follow-Up Studies; D006801:Humans; D012815:Signal Processing, Computer-Assisted
vernacular_title: Validierung einer trendgestützten ST-Segment-Analyse von Langzeit-EKG-Aufzeichnungen.