PUMA
Istituto di Fisiologia Clinica     
West B. J., Scafetta N., Cooke W. H., Balocchi R. Influence of Progressive Central Hypovolemia on Holder Exponent Distributions of Cardiac Interbeat Intervals. In: Annals of Biomedical Engineering, vol. 32 (8) pp. 1077 - 1087. Springer, 2004.
 
 
Abstract
(English)
The purpose of the study was to determine the dependency of the statistical properties of the R to R interval (RRI) time series on progressive central hypovolemia with lower body negative pressure. Two data-processing techniques based on wavelet transforms were used to determine the change in the nonstationary nature of the RRI time series with changing negative pressure. The results suggest that autonomic neural mechanism driving cardiac interbeat intervals during central hypovolemia go through various levels of multifractality, as determined by H¨older exponent distributions.
URL: http://Springer.com
DOI: 10.1114/B
Subject Lower body negative pressure
Cardiac interbeat interval
Data analysis
Multifractal time series
Model of hemmorhage


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