Comparison of RR-interval scaling exponents derived from long and short segments at different wake periods.
Heartbeat fluctuations show fractal-like correlations that are associated with highly adaptive cardiovascular regulatory systems. Moreover, the short-range fractal or scaling exponent alpha(1) extracted from these correlations has been found to be a predictor of mortality for subjects with an impaired left ventricular function. In general, the RR-interval data required for this analysis are derived from long-term ECG recordings during free-running conditions. Yet short-term recordings are more likely to be obtained in some practical circumstances, so becoming relevant to assess the possibility of obtaining representative alpha(1) exponents from these recordings. Here, we compare the alpha(1) exponents extracted from the RR-interval series (9:00 AM-6:00 PM) of 51 healthy adults in normal sinus rhythm and the alpha(1) calculated from three shorted segments of only 700 beats obtained from the same series at 9:00 AM, 1:30 PM and 5:00 PM. We found no significant differences between the scaling exponents derived from the whole 9 h series and the short segments at 9:00 AM and 5:00 PM, but did find significant differences when comparing the whole series with the short segment at 1:30 PM. Thus, only if the time of day is taken into consideration can short segments of heartbeat fluctuation data be used to obtain representative alpha(1) exponents.
Electrical Engineering Department, Universidad Autónoma Metropolitana-Izt., Mexico City, Mexico. jcea@xanum.uam.mx
J C
JC
Echeverría
S D
SD
Aguilar
M R
MR
Ortiz
J
J
Alvarez-Ramirez
R
R
González-Camarena
D000328:Adult; D000465:Algorithms; D002320:Cardiovascular Physiological Phenomena; D004562:Electrocardiography; D005260:Female; D017709:Fractals; D006340:Heart Rate, Fetal / Q000502:physiology*; D006801:Humans; D011247:Pregnancy; D014851:Wakefulness / Q000502:physiology*