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. 1999 Dec;82(6):e9. doi: 10.1136/hrt.82.6.e9

Physical activity is a major contributor to the ultra low frequency components of heart rate variability

J Serrador, H Finlayson, R Hughson
PMCID: PMC1729201  PMID: 10573505

Abstract

OBJECTIVE—To investigate the link between changes in level of physical activity and the pattern of heart rate variability during long term ambulatory monitoring.
DESIGN—Heart rate variability was measured simultaneously with a quantitative indicator of muscle activity by electromyography (EMG) in five men and five women while they did activities typical of daily life or while they rested for 2-3 hours. Spectral and cross spectral analyses were performed on both variables with standard fast Fourier transform.
RESULTS—There was a marked reduction in spectral power in the ultra low frequency band (< 0.003 Hz) on going from active to rest conditions for both heart rate variability (men 6187 (1801) v 410 (89) ms2/Hz; women 4056 (1161) v 2094 (801), mean (SEM); p < 0.01) and EMG (p < 0.001). Cross spectral analysis showed a strong positive gain between the EMG and heart rate variability signal that was virtually eliminated in the resting condition (p < 0.01). A sex-by-condition effect (p = 0.06) was noted with a reduction in total spectral power for heart rate variability during rest in men, while it increased slightly in women.
CONCLUSIONS—There is a quantitative link between muscle activation and heart rate variability in the lowest frequency band. Voluntary restriction of physical activity in healthy young subjects caused marked reduction in spectral power in the lowest frequency band which is often used to assess patient prognosis. The findings strongly suggest that studies of ambulatory heart rate variability should always include an indication of physical activity patterns.


Keywords: spectral analysis; electromyography; Holter monitoring; sex effect

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Figure 1  .

Figure 1  

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Beat by beat changes in heart rate and corresponding changes in EMG activity for a typical female subject during both her active and resting trials. EMG data are the weighted average from four muscles, as outlined in Methods.

Figure 2  .

Figure 2  

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Changes in spectral power for RR interval (ms2/Hz) and EMG (%MVC2/Hz) in specific frequency bands from active and resting conditions for men and women. Total power spectral density for the RR interval (upper panels). Total spectral power of EMG activity normalised to total spectral power for the active trial (middle panels). Mean gain for those frequencies at which coherence was greater than 0.5 (lower panels, note the change in scale for VLF, LF, and HF frequency bands). All values are means, error bars = SEM. Significant difference between active and resting: *p < 0.05, †p < 0.01, ‡p < 0.005. Significant sex interaction, §p < 0.05. 

Selected References

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