Ability of short-time Fourier transform method to detect transient changes in vagal effects on hearts: a pharmacological blocking study.

Conventional spectral analyses of heart rate variability (HRV) have been limited to stationary signals and have not allowed the obtainment of information during transient autonomic cardiac responses. In the present study, we evaluated the ability of the short-time Fourier transform (STFT) method to detect transient changes in vagal effects on the heart. We derived high-frequency power (HFP, 0.20-0.40 Hz) as a function of time during active orthostatic task (AOT) from the sitting to standing posture before and after selective vagal (atropine sulfate 0.04 mg/kg) and sympathetic (metoprolol 0.20 mg/kg) blockades. The HFP minimum point during the first 30 s after standing up was calculated and compared with sitting and standing values. Reactivity scores describing the fast and slow HFP responses to AOT were calculated by subtracting the minimum and standing values from the sitting value, respectively. The present results, obtained without controlled respiration, showed that in the drug-free condition, HFP decreased immediately after standing up (P < 0.001) and then gradually increased toward the level characteristic for the standing posture (P < 0.001), remaining lower than in the sitting baseline posture (P < 0.001). The magnitudes of the fast and slow HFP responses to AOT were abolished by the vagal blockade (P < 0.001) and unaffected by the sympathetic blockade. These findings indicate that HFP derived by the STFT method provided a tool for monitoring the magnitude and time course of transient changes in vagal effects on the heart without the need to interfere with normal control by using blocking drugs.

[1]  P. Novak,et al.  Postural tachycardia syndrome: time frequency mapping. , 1996, Journal of the autonomic nervous system.

[2]  Solange Akselrod,et al.  Estimation of autonomic response based on individually determined time axis , 2001, Autonomic Neuroscience.

[3]  Steven W. Smith,et al.  The Scientist and Engineer's Guide to Digital Signal Processing , 1997 .

[4]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[5]  Kazuhiro Yoshiuchi,et al.  Use of time-frequency analysis to investigate temporal patterns of cardiac autonomic response during head-up tilt in chronic fatigue syndrome , 2004, Autonomic Neuroscience.

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

[7]  V. Novak,et al.  Time/frequency mapping of the heart rate, blood pressure and respiratory signals , 1993, Medical and Biological Engineering and Computing.

[8]  J. Cacioppo,et al.  Respiratory sinus arrhythmia: autonomic origins, physiological mechanisms, and psychophysiological implications. , 1993, Psychophysiology.

[9]  M. Turiel,et al.  Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.

[10]  Karen S. Quigley,et al.  Cardiac psychophysiology and autonomic space in humans: empirical perspectives and conceptual implications. , 1993, Psychological bulletin.

[11]  J M Neilson,et al.  Autonomic mechanisms in the initial heart rate response to standing. , 1980, Journal of applied physiology: respiratory, environmental and exercise physiology.

[12]  R I Kitney,et al.  Biomedical signal processing (in four parts) , 2006, Medical and Biological Engineering and Computing.

[13]  J. Cacioppo,et al.  Autonomic cardiac control. I. Estimation and validation from pharmacological blockades. , 1994, Psychophysiology.

[14]  David S. Stoffer,et al.  Time series analysis and its applications , 2000 .

[15]  P. Grossman,et al.  Prediction of tonic parasympathetic cardiac control using respiratory sinus arrhythmia: the need for respiratory control. , 1991, Psychophysiology.

[16]  A Malliani,et al.  Instant power spectrum analysis of heart rate variability during orthostatic tilt using a time-/frequency-domain method. , 1997, Circulation.

[17]  P G Katona,et al.  Respiratory sinus arrhythmia: noninvasive measure of parasympathetic cardiac control. , 1975, Journal of applied physiology.

[18]  A. Guz,et al.  Sympathetic and parasympathetic cardiac control in athletes and nonathletes at rest. , 1982, Journal of applied physiology: respiratory, environmental and exercise physiology.

[19]  Roger Hainsworth,et al.  Physiology of the Cardiac Autonomic System , 1998 .

[20]  J. Cacioppo,et al.  Vagal stimulation and cardiac chronotropy in rats. , 1992, Journal of the autonomic nervous system.

[21]  R. Cohen,et al.  Hemodynamic regulation: investigation by spectral analysis. , 1985, The American journal of physiology.

[22]  F. Graham Normality of distributions and homogeneity of variance of heart rate and heart period samples. , 1978, Psychophysiology.

[23]  S Elsenbruch,et al.  Time-frequency analysis of heart rate variability using short-time fourier analysis. , 2000, Physiological measurement.

[24]  J. Cacioppo,et al.  The metrics of cardiac chronotropism: biometric perspectives. , 1995, Psychophysiology.

[25]  M. N. Levy,et al.  Selective Stimulation of Parasympathetic Nerve Fibers to the Human Sinoatrial Node , 1992, Circulation.

[26]  J Thomas Bigger,et al.  R-R variability detects increases in vagal modulation with phenylephrine infusion. , 1998, American journal of physiology. Heart and circulatory physiology.

[27]  W. Wieling,et al.  Initial and delayed circulatory responses to orthostatic stress in normal humans and in subjects with orthostatic intolerance. , 1992, International angiology : a journal of the International Union of Angiology.

[28]  M. N. Levy Brief Reviews: Sympathetic-Parasympathetic Interactions in the Heart , 1971, Circulation research.

[29]  D. Ewing,et al.  Immediate heart-rate response to standing: simple test for autonomic neuropathy in diabetes. , 1978, British medical journal.

[30]  Sergio Cerutti,et al.  Time-frequency and time-varying analysis for assessing the dynamic responses of cardiovascular control. , 2002, Critical reviews in biomedical engineering.

[31]  Alan V. Oppenheim,et al.  Discrete-time Signal Processing. Vol.2 , 2001 .

[32]  Luca T. Mainardi,et al.  Advanced spectral methods for detecting dynamic behaviour , 2001, Autonomic Neuroscience.

[33]  J. Saul,et al.  Transfer function analysis of autonomic regulation. I. Canine atrial rate response. , 1989, The American journal of physiology.

[34]  S Akselrod,et al.  Autonomic response to change of posture among normal and mild-hypertensive adults: investigation by time-dependent spectral analysis. , 1997, Journal of the autonomic nervous system.

[35]  D. Adam,et al.  Assessment of autonomic function in humans by heart rate spectral analysis. , 1985, The American journal of physiology.

[36]  J. Cacioppo,et al.  Autonomic cardiac control. II. Noninvasive indices and basal response as revealed by autonomic blockades. , 1994, Psychophysiology.

[37]  A. Pichon,et al.  Spectral analysis of heart rate variability during exercise in trained subjects. , 2004, Medicine and science in sports and exercise.

[38]  S. Akselrod,et al.  Selective discrete Fourier transform algorithm for time-frequency analysis: method and application on simulated and cardiovascular signals , 1996, IEEE Transactions on Biomedical Engineering.