Respiration frequency and depth significantly influence heart-rate variability, indicating that respiratory patterns must be accounted for when using HRV to evaluate autonomic nervous function or mental workload.
Respiration frequency warrants control in HRV assessments; leaves open optimal standardization for autonomic or workload evaluation.
There are many studies that measure the mental workload or evaluate the autonomous nervous function by heart‐rate variability measures. Heart‐rate variability is influenced not only by the stress or the workload but also by respiration. Therefore, it is important to clarify the effects of respiration on heart‐rate variability measures. This paper discusses the effects of the respiration frequency, the depth of respiration and the dispersion of the respiration interval on heart‐rate variability. It was shown that the number of peak and trough waves in the time series of R‐R intervals was influenced by the respiration frequency. Moreover, the measures obtained by the power spectral analysis of R‐R intervals were found to be influenced considerably by the respiration frequency. The heart‐rate variability measures tended to increase with deep respiration. The effects of the dispersion of respiration intervals on heart‐rate variability measures were not so remarkable.
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Atsuo Murata (1992) studied this question.
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