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前言 设想在任何已知的减压后减压病的概率是不同环境与生理因素的一个函数,这些因素之一是血液与其它组织中气泡的大小。作者研究了弥散引起气泡成长过程的数学表达式,并解决了怎样用数字方式检查各种生理参数如何影响血浆中气泡的成长。这种气泡成长模型将充当美国空军高空飞行减压病计算机发展的基本元件之一。减压病计算机将提供预示性的和实时性的危险估计能力。方法 建立这组代表气
The preconception assumes that the probability of decompression sickness after any known decompression is a function of different environmental and physiological factors, one of which is the size of the air bubbles in blood and other tissues. The authors studied the mathematical expression of the bubble-induced growth process and how to numerically examine how various physiological parameters affect the growth of air bubbles in the plasma. This bubble growth model will serve as one of the basic components of the U.S. Air Force flight decompression sickness computer. Decompression sickness computer will provide predictable and real-time risk assessment capabilities. Method to establish this group of representative gas