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Dive into the research topics where Norman Lamarra is active.

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Featured researches published by Norman Lamarra.


Medicine and Science in Sports and Exercise | 1982

Effect of ramp slope on determination of aerobic parameters from the ramp exercise test

James A. Davis; Brian J. Whipp; Norman Lamarra; David J. Huntsman; Marianne H. Frank; Karlman Wasserman

The effect of ramp slope on determination of aerobic parameters from the ramp exercise test. Med. Sci. Sports Exercise, Vol. 14, No. 5, pp. 339-343, 1982. We have previously demonstrated that the four parameters of aerobic function (maximal oxygen uptake (muVO2), VO2 at the anaerobic threshold (theta an), the time constant for VO2 kinetics (tau VO2), and work efficiency (eta)) may all be determined reliably from a single test in which the work rate increases continuously at a constant rate, i.e., ramp. That study, however, utilized a single ramp slope of 50 W X min-1, which may not be appropriate for subjects with very low or very high work tolerances. We therefore studied the effect of different ramp slopes on the determination of these parameters. Ramp slopes of 20, 30, 50, and 100 W X min-1 were generated on a cycle ergometer, and each was assigned randomly to 14 healthy subjects. Ventilatory and gas exchange variables were measured breath-by-breath utilizing on-line digital computation. Ramp slopes of 20, 30, and 50 W X min-1 yielded the same values for each aerobic parameter. The 100 W X min-1 ramp yielded muVO2 and eta an values that were the same as those found for the other ramp slopes, but tau VO2 and eta could not be discerned validly from this ramp slope. We conclude that valid assessment of the four parameters of aerobic function is possible with ramp slopes between 20 and 50 W X min-1; no further information on the parameters is to be gained by prolonging the tests with ramps slower than 20 W X min-1.


Medicine and Science in Sports and Exercise | 1990

Variables, constants, and parameters: clarifying the system structure.

Norman Lamarra

This paper introduces the terminology and application of parameter estimation techniques for clarifying models of pulmonary gas-exchange control dynamics. Results are given of modeled first-order systems, and the extension of such models to higher orders is discussed with examples. It is emphasized that justification of the adequacy of a model is statistically quantifiable and must be performed before appropriate interpretation of system behavior is possible.


European Journal of Applied Physiology | 1995

Obligatory anaerobiosis resulting from oxygen uptake-to-blood flow ratio dispersion in skeletal muscle: a model

Brian J. Whipp; Norman Lamarra; Susan A. Ward

AbstractWe constructed a computer model whereby the dispersion of the oxygen uptake-to-blood flow ratio (


Archive | 1989

Estimating Arterial PCO2 from Flow-Weighted and Time-Average Alveolar PCO2 During Exercise

Brian J. Whipp; Norman Lamarra; Susan A. Ward; James A. Davis; Karlman Wasserman


Archive | 1989

Gas-Exchange Inferences for the Proportionality of the Cardiopulmonary Responses During Phase 1 of Exercise

Susan A. Ward; Norman Lamarra; Brian J. Whipp

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Archive | 1989

A General-Purpose Model for Investigating Dynamic Cardiopulmonary Responses During Exercise

Norman Lamarra; Susan A. Ward; Brian J. Whipp


Journal of Applied Physiology | 1982

Parameters of ventilatory and gas exchange dynamics during exercise

Brian J. Whipp; Susan A. Ward; Norman Lamarra; James A. Davis; Karlman Wasserman

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Journal of Applied Physiology | 1987

Effect of interbreath fluctuations on characterizing exercise gas exchange kinetics

Norman Lamarra; Brian J. Whipp; Susan A. Ward; Karlman Wasserman


Journal of Applied Physiology | 1981

Breath-by-breath measurement of true alveolar gas exchange

William L. Beaver; Norman Lamarra; Karlman Wasserman

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Journal of Applied Physiology | 1989

Model implications of gas exchange dynamics on blood gases in incremental exercise

Norman Lamarra; Susan A. Ward; Brian J. Whipp

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James A. Davis

California State University

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William L. Beaver

Los Angeles Biomedical Research Institute

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