Diurnal Variations of ECG Parameters During 23-Hour Monitoring in Cardiac Patients With Ventricular Arrhythmias or Ischemic Episodes

ABSTRACT ECG and physical activity (recorded with motion detectors) were continuously monitored during 23 hours in 31 male cardiac patients (81% with myocardial infarction). According to the occurrence of ventricular arrhythmias (VA) or ischemic episodes (IE), each patient was grouped in one of thre...

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Veröffentlicht in:Psychophysiology 1990-11, Vol.27 (6), p.620-626
Hauptverfasser: Mytrik, Michael, Brügner, Georg, Fichtler, Achmed
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Sprache:eng
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Zusammenfassung:ABSTRACT ECG and physical activity (recorded with motion detectors) were continuously monitored during 23 hours in 31 male cardiac patients (81% with myocardial infarction). According to the occurrence of ventricular arrhythmias (VA) or ischemic episodes (IE), each patient was grouped in one of three diagnostic categories: neither VA nor IE, VA with or without IE, and IE only. Analysis of the ECG parameters was done beat‐by‐beat and averaged on a 1‐min basis. Results were derived from the 2‐hour means between 2 p.m. and 12 p.m. MANOVA revealed significant group differences for heart rate variability (greater for the group with VA), R‐wave amplitude (higher for the group with IE), and P‐wave amplitude (higher for the group with VA). Significant time effects were observed for all variables except QRS‐ and P‐wave durations. As may be expected, physical activity and heart rate were lower at night. Heart rate variability, PQ‐interval, PR‐segment, QT‐interval, ST‐segment, and T‐wave duration increased during the night. R‐wave amplitude also increased but the relative P‐ and T‐wave amplitudes decreased. The corrected QT‐interval, QTc, was shorter at night and the ST‐segment, J + 60‐point, S‐wave, and J‐point amplitudes were less negative. Group × Time interactions were observed for T‐wave amplitude. For this amplitude, the decrease during the night was prominent only for the VA group. The results of this study suggest that the three diagnostic groups can be differentiated by diverse ECG parameters.
ISSN:0048-5772
1469-8986
1540-5958
DOI:10.1111/j.1469-8986.1990.tb03182.x