Details

Autor(en) / Beteiligte

• Busso, Thierry
• Liang, Pei-Ji
• Robbins, Peter A

Titel

Breath-to-breath relationships between respiratory cycle variables in humans at fixed end-tidal PCO2 and PO2

Ist Teil von

• Journal of applied physiology (1985), 1996-11, Vol.81 (5), p.2287-2296

Ort / Verlag

Bethesda, MD: Am Physiological Soc

Erscheinungsjahr

1996

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Thierry Busso, Pei-Ji Liang, and Peter A. Robbins University Laboratory of Physiology, Oxford OX1 3PT, United Kingdom Received 28 November 1995; accepted in final form 14 June 1996. Busso, Thierry, Pei-Ji Liang, and Peter A. Robbins. Breath-to-breath relationships between respiratory cycle variables in humans at fixed end-tidal P CO 2 and P O 2 . J. Appl. Physiol. 81(5): 2287-2296, 1996. This study examined the statistical properties of breath-to-breath variations in the inspiratory and expiratory volumes and times during rest and light exercise. Sixty data sets were analyzed. Initial data and residuals after fitting time-series models were examined for 1 ) sustained periodicities with use of spectral analysis, 2 ) temporal changes in signal power with use of evolutionary spectral analysis, and 3 ) auto- and cross correlations with use of a portmanteau test. The major findings were as follows: 1 ) no sustained periodic components were detected; 2 ) temporal changes in signal power were normally present, but these did not affect significantly the results from time-series modeling; 3 ) for all variables, a simple autoregressive moving average (ARMA) AR 1 MA 1 model generally described the autocorrelation; 4 ) considerable cross correlation remained between residuals from the AR 1 MA 1 model; 5 ) relationships between variables could be described by using a multivariate time-series model; 6 ) residual fluctuations in end-tidal P CO 2 had little influence; and 7 ) responses were broadly similar between rest and exercise, although some quantitative differences were found. The multivariate model provides a description of the structure of the interrelationships between cycle variables in a quantitative and a qualitative form. control of breathing; chemoreflex feedback loop; correlated variability; time-series models; constant power spectrum 0161-7567/96 $5.00 Copyright © 1996 the American Physiological Society