Statistical properties of breath-to-breath variations in ventilation at constant PET(CO2) and PET(O2) in humans

Journal of Applied Physiology

Volumn 81, Issue 5, 1996, Pages 2274-2286

  Liang, Pei Ji ^a   Pandit, Jaideep J ^a   Robbins, Peter A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

constant power spectrum; end tidal partial pressure of carbon dioxide; end tidal partial pressure of oxygen; heteroscedastic form; state space model; time series models; uniform modulation

Indexed keywords

ARTICLE; BREATHING; END TIDAL CARBON DIOXIDE TENSION; EXERCISE; LUNG VENTILATION; MATHEMATICAL ANALYSIS; POWER SPECTRUM; PRIORITY JOURNAL; REST;

EID: 0029810207     PISSN: 87507587     EISSN: None     Source Type: Journal    
DOI: 10.1152/jappl.1996.81.5.2274     Document Type: Article

References (20)

1. Ackerson, L. M., R. H. Jones, and E. N. Bruce. Adaptive multivariate autoregressive modeling of respiratory cycle variables. In: Respiratory Control - A Modeling Perspective. New York: Plenum, 1989, p. 309-316.
2. Anderson, B. D. O., and J. B. Moore. Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
3. Benchetrit, G., and F. Bertrand. A short-term memory in the respiratory centres: statistical analysis. Respir. Physiol. 23: 147-158, 1975.
4. Box, G. E. P., and G. M. Jenkins. Time Series Analysis - Forecasting and Control (rev. ed.). San Francisco, CA: Holden-Day, 1976.
5. Clement, I. D., and P. A. Robbins. Latency of the ventilatory chemoreflex response to hypoxia in humans. Respir. Physiol. 92: 277-287, 1993.
6. 2 and in arterial pH. In: Handbook of Physiology. The Respiratory System. Control of Breathing. Bethesda, MD: Am. Physiol. Soc., 1986, vol. II, pt. 2, chapt. 15, p. 475-528.
7. Dahan, A., J. DeGoede, A. Berkenbosch and I. C. W. Olievier. The influence of oxygen on the ventilatory response to carbon dioxide in man. J. Physiol. Lond. 428: 485-499, 1990.
8. Dahan, A., I. C. W. Olievier, A., Berkenbosch, and J. DeGoede. Modeling the dynamic ventilatory response to carbon dioxide in healthy human subjects during normoxia. In: Respiratory Control - A Modeling Perspective. New York: Plenum, 1989, p. 265-273.
9. DeGoede, J., and A, Berkenbosch. Dynamic end-tidal forcing technique: modeling the ventilatory response to carbon dioxide. In: Modeling and Parameter Estimation in Respiratory Control. New York: Plenum, 1989, p. 59-69.
10. Harvey, A. C. Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge, UK: Cambridge Univ. Press, 1989.
11. Jensen, J. I. An Analysis of Breath-to-Breath Variability in Steady-States of Breathing in Man (PhD thesis). Arahus Universitet, Denmark, 1987.
12. Kendall, M. G., and A. Stuart. The Advanced Theory of Statistics (3rd ed.). London: Griffin, 1969.
13. Khatib, M. F., Y. Oku, and E. N. Bruce. Contribution of chemical feedback loops to breath-to-breath variability of tidal volume. Respir. Physiol. 83: 115-128, 1991.
14. Ljung, L. System Identification - Theory for the User. Englewood Cliffs, NJ: Prentice-Hall, 1987.
15. Modarreszadeh, M., E. N. Bruce, and B. Gothe. Nonrandom variability in respiratory cycle parameters of humans during stage 2 sleep. J. Appl. Physiol. 69: 630-639, 1990.
16. 2 in man. Respir. Physiol. 88: 101-112, 1992.
17. Priban, I. P. An analysis of some short-term patterns of breathing in man at rest. J. Physiol. Lond. 166: 425-434, 1963.
18. Priestley, M. B. Spectral Analysis and Time Series. London: Academic, 1981.
19. Priestley, M. B. Non-linear and Non-Stationary Time Series Analysis. London: Academic, 1991.
20. Priestley, M. B., and S. S. Rao. A testing of non-stationarity of time-series. J. R. Stat. Soc. Ser. B 31: 140-149, 1969.