Time-frequency spectral analysis of heart rate variability during induction of general anaesthesia.

We have examined the spectral components of heart rate variability (HRV) during induction of anaesthesia with thiopentone, tracheal intubation and subsequent inhalation of isoflurane-nitrous oxide. Commonly used spectral analysis methods such as fast Fourier transformation or autoregressive modelling require stationary data and are not suitable for the rapidly changing HRV data in this period. An advanced spectral analysis method, time-frequency analysis, which can treat non-stationary data, was used in this study. Multiple spectra were generated to demonstrate the time-related spectral components of HRV. Mid-frequency power (MF, 0.08-0.15 Hz), high-frequency power (HF, 0.15-0.5 Hz) and MF/HF ratio at baseline, after induction (before intubation), immediately after intubation and during maintenance periods were calculated and compared. MF and HF powers decreased after induction and were reduced further in the maintenance period but MF/HF ratio remained unchanged after induction. Immediately after intubation MF and HF powers did not differ significantly from the immediate pre-intubation values, but MF/HF ratio did.

[1]  Z Lin,et al.  Advances in time-frequency analysis of biomedical signals. , 1996, Critical reviews in biomedical engineering.

[2]  B. Porat,et al.  Digital Spectral Analysis with Applications. , 1988 .

[3]  Rob J. Roy,et al.  Time frequency spectral representation of EEG , 1993, 1993 IEEE Annual Northeast Bioengineering Conference.

[4]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[5]  M. Kato,et al.  Spectral analysis of heart rate variability during isoflurane anesthesia. , 1992, Anesthesiology.

[6]  Blanco,et al.  Time-frequency analysis of electroencephalogram series. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[7]  A Skyschally,et al.  Low‐frequency Spectral Power of Heart Rate Variability Is Not a Specific Marker of Cardiac Sympathetic Modulation , 1995, Anesthesiology.

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

[9]  D. Galletly,et al.  Effect of halothane, isoflurane and fentanyl on spectral components of heart rate variability. , 1994, British journal of anaesthesia.

[10]  Simon Haykin,et al.  Advances in spectrum analysis and array processing , 1991 .

[11]  Glenn A. Myers,et al.  Power Spectral Analysis of Heart Rate Varability in Sudden Cardiac Death: Comparison to Other Methods , 1986, IEEE Transactions on Biomedical Engineering.

[12]  J W Sleigh,et al.  Heart rate variability in patients recovering from general anaesthesia. , 1996, British journal of anaesthesia.

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

[14]  D. Galletly,et al.  Heart rate periodicities during induction of propofol-nitrous oxide-isoflurane anaesthesia. , 1992, British journal of anaesthesia.

[15]  D H Singer,et al.  Power spectral analysis of heart rate variability in sudden cardiac death: comparison to other methods. , 1986, IEEE transactions on bio-medical engineering.

[16]  M. Lesh,et al.  Autonomic nervous system and sudden cardiac death. , 1996, Journal of the American College of Cardiology.

[17]  J. D. Young,et al.  Effects of propofol and thiopentone, and benzodiazepine premedication on heart rate variability measured by spectral analysis. , 1996, British journal of anaesthesia.

[18]  N. Starr,et al.  Analysis of heart rate variability to assess hemodynamic alterations following induction of anesthesia. , 1992, Journal of cardiothoracic and vascular anesthesia.

[19]  E. Hon,et al.  Heart Rate Variability in Diabetes: Relationship to Age and Duration of the Disease , 1985, Diabetes Care.

[20]  R. Cohen,et al.  An Efficient Algorithm for Spectral Analysis of Heart Rate Variability , 1986, IEEE Transactions on Biomedical Engineering.

[21]  R. Offereins Book review: Digital control system analysis and design , 1985 .

[22]  H. H. Ros,et al.  Effects of thiopentone, etomidate and propofol on beat‐to‐beat cardiovascular signals in man , 1993, Anaesthesia.

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

[24]  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.

[25]  C. Marchesi,et al.  Estimation of the power spectral density in nonstationary cardiovascular time series: assessing the role of the time-frequency representations (TFR) , 1996, IEEE Transactions on Biomedical Engineering.