Key result
Pulse interval data from blood pressure yielded similar low-frequency power spectra to ECG RR-intervals, but differed in beat-to-beat variations and high-frequency regions in conscious rats.
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Blood pressure pulse intervals can be used to calculate long-term and low-frequency HRV parameters, but may differ from ECG-derived parameters for beat-to-beat and high-frequency analysis.
The development of new approaches to the assessment of heart rate variability (HRV) is an important problem, since HRV reflects the functioning of cardiovascular control and is affected by various diseases. The purpose of this study was to evaluate the informative value of statistical and spectral HRV parameters calculated from pulse interval (PI) data of blood pressure as compared with those calculated from RR-interval data of electrocardiograms (ECG). We recorded ECG in conscious rats using skin adhesive electrodes simultaneously with blood pressure signal obtained through a catheter in the femoral artery. It has been found that the PI sequence can be used to calculate the statistical HRV indices that describe the HRV at time intervals about 1 min or longer, but statistical indices of the PI and RR intervals may differ in the analysis of beat-tobeat variations. The power spectra of the RR intervals and PI coincide in the low-frequency region, including the band of baroreflex cardiac rhythm oscillation. However, they can differ in the high-frequency region (at respiration frequency and above).
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Negulyaev et al. (2018) studied this question. Pulse interval (PI) data from blood pressure vs. RR-interval data from electrocardiograms (ECG) was evaluated on Statistical and spectral HRV parameters. Pulse interval data from blood pressure yielded similar low-frequency power spectra to ECG RR-intervals, but differed in beat-to-beat variations and high-frequency regions in conscious rats.
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