2014
DOI: 10.1152/ajpheart.00898.2013
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Validation of pulse rate variability as a surrogate for heart rate variability in chronically instrumented rabbits

Abstract: Pellegrino PR, Schiller AM, Zucker IH. Validation of pulse rate variability as a surrogate for heart rate variability in chronically instrumented rabbits. Am J Physiol Heart Circ Physiol 307: H97-H109, 2014. First published May 2, 2014; doi:10.1152/ajpheart.00898.2013.-Heart rate variability (HRV) is a function of cardiac autonomic tone that is widely used in both clinical and animal studies. In preclinical studies, HRV measures are frequently derived using the arterial pulse waveform from an implanted pressur… Show more

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Cited by 17 publications
(14 citation statements)
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“…This could be done by using blockade techniques for assessing the contribution of each branch of the ANS to PRV indices, or by comparing PRV results to more specific measurements such as microneurography. To the knowledge of the authors, the only blockade study that has been performed to evaluate changes in PRV was done by Pellegrino et al ( 2014 ). They showed that cardiovagal blockade induced an overestimation of HF measured from PRV; cardiac sympathetic blockade implied a moderate to high agreement between HRV and PRV in time- and frequency-domain indices; and dual blockade implied a poor accuracy and precision for normalized measures and LF/HF indices.…”
Section: Discussionmentioning
confidence: 99%
“…This could be done by using blockade techniques for assessing the contribution of each branch of the ANS to PRV indices, or by comparing PRV results to more specific measurements such as microneurography. To the knowledge of the authors, the only blockade study that has been performed to evaluate changes in PRV was done by Pellegrino et al ( 2014 ). They showed that cardiovagal blockade induced an overestimation of HF measured from PRV; cardiac sympathetic blockade implied a moderate to high agreement between HRV and PRV in time- and frequency-domain indices; and dual blockade implied a poor accuracy and precision for normalized measures and LF/HF indices.…”
Section: Discussionmentioning
confidence: 99%
“…After rabbits were put on telemetry jackets, their Lead II ECG signals in free and awake states were continuously monitored using EMKA non-invasive physiological signal telemetry system (EMKA, France) for 2 h. Then, HRV time-domain analysis was performed, and the indicators included the RR interval, SDNN, and RMSSD. In addition, frequency domain power spectrum analysis was performed according to the method previously studied [75], setting the VLF power as 0–0.0625 Hz, the LF power as 0.0625–0.1875 Hz and the HF power as 0.1875–2 Hz. Analysis indexes included TP, VLF, LF, and HF.…”
Section: Methodsmentioning
confidence: 99%
“…Heart rate variability (HRV) measurements were analyzed by the HRV analysis module in LabChart ® extracted from the pulse wave after passing through a 45 Hz low-pass filter. Normal to normal intervals were triggered by the maximal derivative of the pulse wave as this best correlates the interval extrapolated from the pulse wave to intervals generated by electrocardiogram (Pellegrino et al, 2014). Standard deviation of normal to normal (SDNN), root mean squared of the successive differences (RMSSD), and the low frequency (LF) (0.2 – 0.6 Hz) to high frequency (HF) (1.0–3.0 Hz) ratio (Erdos et al, 2015b) (LF/HF) were calculated using LabChart ® software.…”
Section: Methodsmentioning
confidence: 99%