Abstract
The activity of sinus node pacemaker cells is under continuous regulation mainly effected by neural mechanisms. Hence the study of the variability of heart period, especially when assessed in the frequency domain with spectral analysis, was proposed about 15 years ago [l] as a probe for the evaluation of its autonomic control. Initially three spectral components of heart rate variability (HRV) were defined, while the factors considered as modulating them included sympathetic and parasympathetic activities, humoral factors such as the renin-angiotensin system or complex patterns like thermoregulation. On the basis of (i) an attempt to analyse cardiovascular neural regulation in closed-loop conditions, (ii) a different spectral methodology using autoregressive algorithms [21, (iii> simultaneous spectral analysis of both heart rate and arterial pressure variabilities providing the possibility of calculating crossspectra and their coherence, we reached the conclusion that only two spectral components were soundly analysable in a time span of a few hundred cycles-i.e., the time series usually selected to afford an adequate number of events, adequate stationarity and some appraisal of dynamic changes [3]. Hence, apart from a very low frequency (VLF) component [41, short-term variability appeared to consist mainly of an oscillation at low frequency (LF), usually around 0.1 Hz largely related to vasomotor activity, and of a high frequency (HF) oscillation, related to respiratory activity and under control conditions often around 0.25 Hz. Since our initial studies [2], we observed that the power of the LF component was percentually increased during manoeuvres exciting sympathetic activity while HF was
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