The influence of exercise intensity on the power spectrum of heart rate variability
- 1 September 1990
- journal article
- research article
- Published by Springer Nature in European Journal of Applied Physiology
- Vol. 61 (1-2) , 143-148
- https://doi.org/10.1007/bf00236709
Abstract
The power spectral analysis of R-R interval variability (RRV) has been estimated by means of an autoregressive method in seven sedentary males at rest, during steady-state cycle exercise at 21 percent maximal oxygen uptake. (% V O 2max), SEM 2%, 49% VO 2max, SEM 2% and 70% VO 2max, SEM 2% and during recovery. The RRV, i.e. the absolute power of the spectrum, decreased 10, 100 and 500 times in the three exercise intensities, returning to resting value during recovery. In the RRV power spectrum three components have been identified: (1) high frequency peak (HF), central frequency about 0.24 Hz at rest and recovery, and 0.28 Hz, SEM 0.02, 0.37 Hz, SEM 0.03 and 0.48 Hz, SEM 0.06 during the three exercise intensities, respectively; (2) low frequency peak (LF), central frequency about 0.1 Hz independent of the metabolic state; (3) very low frequency component (VLF), <0.05 Hz, no peak observed. The HF peak power, as a percentage of the total power (HF%), averaged 16%, SEM 5% at rest and did not change during exercise, whereas during recovery it decreased to 5%–10%. The LF% and VLF% were about 50% and 35% at rest and during low exercise intensity, respectively. At higher intensities, LF% decreased to 16% and VLF% increased to 70%. During recovery a return to resting values occurred. The HF component may reflect the increased respiratory rate and the LF peak changes the resetting of the baroreceptor reflex with exercise. The hypothesis is made that VLF fluctuations in heart rate might be partially mediated by the sympathetic system.This publication has 22 references indexed in Scilit:
- Assessment of autonomic regulation in chronic congestive heart failure by heart rate spectral analysisThe American Journal of Cardiology, 1988
- Cardiovascular variability signals: towards the identification of a closed-loop model of the neural control mechanismsIEEE Transactions on Biomedical Engineering, 1988
- Spectral and cross-spectral analysis of heart rate and arterial blood pressure variability signalsComputers and Biomedical Research, 1986
- Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog.Circulation Research, 1986
- Power Spectrum Analysis of Heart Rate Fluctuation: A Quantitative Probe of Beat-to-Beat Cardiovascular ControlScience, 1981
- Overall Cardiovascular RegulationAnnual Review of Physiology, 1976
- Analysis of Heart Rate VariabilityErgonomics, 1973
- Spontaneous Rhythms in Physiological Control SystemsNature, 1971
- Estimation of parameters for a linear difference equation with application to EEG analysisMathematical Biosciences, 1969
- Control of Heart Rate by the Autonomic Nervous SystemCirculation Research, 1966