Research in control and estimation of distributed parameter systems encompasses a wide range of applications including both fundamental science and emerging technologies. These expository papers provide substantial stimulus to both young researchers and experienced investigators in control theory. T
Modeling and Parameter Estimation in Respiratory Control
β Scribed by William S. Yamamoto (auth.), Michael C. K. Khoo (eds.)
- Publisher
- Springer US
- Year
- 1990
- Tongue
- English
- Leaves
- 203
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Modelers, on the other hand, generally look towards parsimony as a guiding prinΒ 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 inΒ 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 efΒ 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 incorpoΒ 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-theΒ 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.
β¦ Table of Contents
Front Matter....Pages i-x
Front Matter....Pages N1-N1
Why and How One Models Exercise on a Computer (A Tutorial)....Pages 1-11
Analysis of the Exercise Hyperpnea Using Dynamic Work Rate Forcings....Pages 13-23
Optimal Regulation of Ventilation During Exercise....Pages 25-37
Consequences of Lung Volume Optimization on Exercise Hyperpnea....Pages 39-44
Experimental Design and Analysis for Assessing Gas Exchange Kinetics During Exercise....Pages 45-51
Front Matter....Pages N3-N3
Parameter Estimation Theory for Respiratory Physiology....Pages 53-57
Dynamic End-Tidal Forcing Technique: Modelling the Ventilatory Response to Carbon Dioxide....Pages 59-69
Dynamic Models and Parameter Estimation: The Hypoxic Ventilatory Response....Pages 71-82
Design and Analysis of Experiments for Studying Hypoxic-Hypercapnic Interactions in Respiratory Control....Pages 83-89
Estimation of Dynamic Chemoreflex Gain from Spontaneous Breathing Data....Pages 91-105
Front Matter....Pages N5-N5
A Three-Phase Model of Respiratory Rhythm Generation....Pages 107-111
Conceptual Model of Ventilatory Muscle Recruitment and Diaphragmatic Fatigue....Pages 113-123
Phase Resetting of the Respiratory Oscillator-Experiments and Models....Pages 125-135
Distinguishing Random from Chaotic Breathing Pattern Behavior....Pages 137-145
Forebrain Mechanisms Related to Respiratory Patterning During Sleep-Waking States....Pages 147-151
Front Matter....Pages N7-N7
Chemoreception In Sleep....Pages 153-159
Potential Causes of Recurrent Apneas During Sleep....Pages 161-169
Minimal Modeling of Human Respiratory Stability....Pages 171-180
Sleep State and Periodic Respiration....Pages 181-191
Modeling the Effect of Sleep-State on Respiratory Stability....Pages 193-204
Back Matter....Pages 205-208
β¦ Subjects
Biochemistry, general;Biotechnology;Animal Physiology;Biophysics and Biological Physics;Neurosciences
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