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Efficient and cost‐effective estimation of the influence of respiratory variables on respiratory sinus arrhythmia
Author(s) -
Egizio Victoria B.,
Eddy Michael,
Robinson Matthew,
Jennings J. Richard
Publication year - 2011
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/j.1469-8986.2010.01086.x
Subject(s) - vagal tone , respiratory system , statistic , psychology , linear regression , regression analysis , respiratory frequency , statistics , respiration , regression , index (typography) , respiratory rate , tidal volume , medicine , mathematics , heart rate variability , heart rate , computer science , psychiatry , world wide web , blood pressure , anatomy
Researchers are interested in respiratory sinus arrhythmia (RSA) as an index of cardiac vagal activity. Yet, debate exists about how to account for respiratory influences on quantitative indices of RSA. T. Ritz, M. Thons, and B. Dahme (2001) developed a within‐individual correction procedure by which the effects of respiration on RSA may be estimated using regression models. We replicated their procedure substituting a spectral high‐frequency measure of RSA for a time‐domain statistic and a respiratory belt's relative measure of tidal volume for the direct assessment provided by a pneumotachograph. The standardized slopes from the respiratory belt and pneumotachography‐derived regression equations (estimated across a 6‐min paced breathing protocol) were positively correlated ( r =0.93, p <.001); correlations were similar across 2‐ and 4‐min time courses parsed from the 6‐min protocol. Our results offer methodological alternatives to the research community.