Sentence examples for heart period variability from inspiring English sources

Bigger, J. T. et al. Frequency domain measures of heart period variability and mortality after myocardial infarction.

Bigger, J. T., Fleiss, J. L., Rolnitzky, L. M. & Steinman, R. C. Frequency domain measures of heart period variability to assess risk late after myocardial infarction.

The heart period variability (HPV) signal, xH t), was obtained by high pass filtering the heart period signal with a cut-off frequency of 0.03 Hz.

We used this methodology to describe the interactions between respiration, heart period variability (HPV) and systolic arterial pressure variability (SAPV) during tilt table test with both spontaneous and controlled respiratory patterns.

As a result, the respiratory induced oscillations in the heart period and arterial pressure variability are mutually related.

The calculation of heart rate variability (HRV), which is the fluctuation of instantaneous heart period over time, provides a non-invasive proximal measure of cardiac vagal modulation9,10.

The arrhythmicity index (AI) is the heart period standard deviation normalized to the median heart period to compensate for variabilities between flies and for effects on periodicity due to prolonged contractions[21].

Arrhythmia index is the normalized heart period's standard deviation similar to the coefficient of variation and is a quantification of the variability in heart period (defined as the period from the beginning of one contraction to the beginning of the next contraction; Fink et al., 2009).

In damage of hypothalamic structures, we see increased amplitude power spectral density of the respiratory period of heart rate variability (HRV), a decrease of the amplitude of the low-frequency peak and a very high degree of coherence between HRV and respiratory variability.

Monitoring of cardio-vascular function in astronauts on Russian space station Soyuz revealed a decrease of heart rate variability during periods of increased geomagnetic activity, which is related to increased risk of cardio-vascular disorders.

Although Fourier analysis alone [ 1- 3] can provide evidence for relations between cardiac and brain events, the inevitable heart rate variability during the period of recording makes statistical evaluation of the spectral peaks difficult.