Relationships between short-term blood-pressure fluctuations and heart-rate variability in resting subjects I: a spectral analysis approach

A method to attribute the short-term variability of blood pressure and heart rate of resting subjects to their various causes, using spectral techniques, is presented. Power spectra and cross-spectra are calculated for beat-to-beat values of R-R interval and blood pressure from subjects who were seated in a comfortable chair. Interval values as well as systolic, mean and pulse pressures show variations linked to respiration and to the so-called 10 s rhythm. The diastolic pressure values are scarcely influenced by respiration in the normal respiratory range (0·20–0·35 Hz), but do show 10 s variability. Relationships between pressure and interval variability which indicate that the 10 s variability in systolic pressure leads the interval variation by two to three beats become manifest in cross-spectra; however, no such lag is found between the respiration-linked variations in systolic pressure and intervals. It is argued that the technique presented provides a critical test for models of the fast regulation of the cardiovascular system.

[1]  J. Strackee,et al.  Comparing Spectra of a Series of Point Events Particularly for Heart Rate Variability Data , 1984, IEEE Transactions on Biomedical Engineering.

[2]  M. G. Taylor,et al.  Use of Random Excitation and Spectral Analysis in the Study of Frequency‐Dependent Parameters of the Cardiovascular System , 1966, Circulation research.

[3]  R. Cohen,et al.  Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. , 1981, Science.

[4]  Tatsuo Togawa,et al.  Indirect Measurement of Instantaneous Arterial Blood Pressure in the Human Finger by the Vascular Unloading Technique , 1980, IEEE Transactions on Biomedical Engineering.

[5]  R. Newbower,et al.  Spectral Analysis of Arterial Blood Pressure in the Rat During Atrial Fibrillation , 1983, IEEE Transactions on Biomedical Engineering.

[6]  K. Golenhofen,et al.  Die Beziehungen des Blutdruckrhythmus zu Atmung und peripherer Durchblutung , 2004, Pflüger's Archiv für die gesamte Physiologie des Menschen und der Tiere.

[7]  R W de Boer,et al.  Description of heart-rate variability data in accordance with a physiological model for the genesis of heartbeats. , 1985, Psychophysiology.

[8]  J. W. Tully.  Monte Carlo simulation of a millimeter-wave Gunn-effect relaxation oscillator , 1983, IEEE Transactions on Electron Devices.

[9]  D. G. Watts,et al.  Spectral analysis and its applications , 1968 .

[10]  朝倉 利光.  R. B. Blackman and J. W. Tukey: The Measurement of Power Spectra, Dover Publications, Inc., New York, 1958, 208頁, 13.5×16cm, $1.85 , 1964 .

[11]  B. W. Hyndman,et al.  Spontaneous Rhythms in Physiological Control Systems , 1971, Nature.

[12]  J. Hirsch,et al.  Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. , 1981, The American journal of physiology.

[13]  B. Sayers,et al.  Analysis of heart rate variability. , 1973, Ergonomics.

[14]  K. Yamakoshi,et al.  New oscillometric method for indirect measurement of systolic and mean arterial pressure in the human finger. Part 2: correlation study , 1982, Medical and Biological Engineering and Computing.

[15]  A. Melcher.  Respiratory sinus arrhythmia in man. A study in heart rate regulating mechanisms. , 1976, Acta physiologica Scandinavica. Supplementum.

[16]  T. Teichmann,et al.  The Measurement of Power Spectra , 1960 .

[17]  A. Dornhorst,et al.  Respiratory Variations in Blood Pressure , 1952, Circulation.

[18]  J. Strackee,et al.  Relationships between short-term blood-pressure fluctuations and heart-rate variability in resting subjects II: a simple model , 1985, Medical and Biological Engineering and Computing.

[19]  Jan Strackee,et al.  Spectrum of a series of point events, generated by the integral pulse frequency modulation model , 1985, Medical and Biological Engineering and Computing.