
doi: 10.1007/bf02476924
pmid: 5582152
A one compartment, mechanical model of the human lung-thorax system is presented and mathematically analyzed. The equation relating the thoracic muscular stress to the expired air volume is developed and investigated. Assuming that the pressure drop along the airways is a linear function of air flow rate and that the effective lung-thorax compliance is constant, a form for the muscular stress as a function of time is developed. This is used to predict volume-time and flow-volume curves, which are compared to those measured on a normal individual. It appears that these theoretical results have the essential characteristics of the experimental curves. These results, coupled with the one-to-one correspondence between the parameters of the model and those of the prototype, suggest that this model should have great utility in the study of ventilatory mechanics.
Male, Time Factors, Air, Muscles, Respiration, Thorax, Models, Biological, Biomechanical Phenomena, Respiratory Function Tests, Atmospheric Pressure, Pressure, Humans, Hyperventilation, Lung, Mathematics
Male, Time Factors, Air, Muscles, Respiration, Thorax, Models, Biological, Biomechanical Phenomena, Respiratory Function Tests, Atmospheric Pressure, Pressure, Humans, Hyperventilation, Lung, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
