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Modeling and Parameter Estimation in Respiratory Control

  • Book
  • © 1989

Overview

Editors:
  1. Michael C. K. Khoo

    1. School of Engineering, University of Southern California, Los Angeles, USA

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-x
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  2. Modeling of Respiratory Control During Exercise

    1. Front Matter

      Pages N1-N1
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    2. Why and How One Models Exercise on a Computer (A Tutorial)

      • William S. Yamamoto
      Pages 1-11

    3. Analysis of the Exercise Hyperpnea Using Dynamic Work Rate Forcings

      • Richard Casaburi
      Pages 13-23

    4. Optimal Regulation of Ventilation During Exercise

      • C.-S. Poon
      Pages 25-37

    5. Consequences of Lung Volume Optimization on Exercise Hyperpnea

      • Stanley M. Yamashiro, Fred S. Grodins
      Pages 39-44

    6. Experimental Design and Analysis for Assessing Gas Exchange Kinetics During Exercise

      • George D. Swanson
      Pages 45-51

  3. Chemical Control of Ventilation — Empirical Models and Parameter Estimation

    1. Front Matter

      Pages N3-N3
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    2. Parameter Estimation Theory for Respiratory Physiology

      • Donald M. Wiberg
      Pages 53-57

    3. Dynamic End-Tidal Forcing Technique: Modelling the Ventilatory Response to Carbon Dioxide

      • Jacob DeGoede, Adriaan Berkenbosch
      Pages 59-69

    4. Dynamic Models and Parameter Estimation: The Hypoxic Ventilatory Response

      • Denham S. Ward
      Pages 71-82

    5. Design and Analysis of Experiments for Studying Hypoxic-Hypercapnic Interactions in Respiratory Control

      • Peter A. Robbins
      Pages 83-89

    6. Estimation of Dynamic Chemoreflex Gain from Spontaneous Breathing Data

      • Michael C. K. Khoo
      Pages 91-105

  5. Sleep and Respiratory Control Stability

    1. Front Matter

      Pages N7-N7
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Keywords

About this book

Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Modelers, on the other hand, generally look towards parsimony as a guiding prin­ ciple in their approach to understanding physiological systems. It is therefore not surprising that a substantial degree of miscommunication and misunderstanding still exists between the two groups of truth-seekers. However, there have been numerous instances in physiology where the marriage of mathematical modeling and experimentation has led to powerful in­ sights into the mechanisms being studied. Respiratory control represents one area in which this kind of cross-pollination has proven particularly fruitful. While earlier modeling ef­ forts were directed primarily at the chemical control of ventilation, more recent studies have extended the scope of modeling to include the neural and mechanical aspects pertinent to respiratory control. As well, there has been a greater awareness of the need to incorpo­ rate interactions with other organ systems. Nevertheless, it is necessary from time to time to remind experimentalists of the existence of modelers, and vice versa. The 4th Annual Biomedical Simulations Resource (BMSR) Short Course was held in Marina Del Rey on May 21-22,1989, to acquaint respiratory physiologists and clinical researchers with state-of-the­ art methodologies in mathematical modeling, experiment design and data analysis, as well as to provide an opportunity for experimentalists to challenge modelers with their more recent findings.

Editors and Affiliations

  • School of Engineering, University of Southern California, Los Angeles, USA

    Michael C. K. Khoo

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