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常规潜水减压算法中梯度因子的优化研究

王晔炜 徐伟刚

军事医学2017,Vol.41Issue(3):165-168,4.
军事医学2017,Vol.41Issue(3):165-168,4.DOI:10.7644/j.issn.1674-9960.2017.03.002

常规潜水减压算法中梯度因子的优化研究

Optimization of gradient factors in normal decompression algorithm

王晔炜 1徐伟刚1

作者信息

  • 1. 第二军医大学海军医学系潜水医学教研室,上海200433
  • 折叠

摘要

Abstract

Objective To optimize the application principles of gradient factors(GFs) in decompression algorithm by analyzing its law of regulation.Methods The saturated value of compartments was listed and the limits of decompression were calculated to evaluate the effect of GFs on safety and efficiency of decompression.The anchor point of GFs was changed.Results and Conclusion A higher GF was recommended in shallow and short dives, while in deep and long dives a moderate low GF and decompression by oxygen was preferred.The modification of the anchor points of GFs can increase the risk of decompression sickness and should be used with caution.

关键词

减压算法/梯度因子/潜水/潜水医学/减压病

Key words

decompression algorithm/gradient factor/diving/submarine medicine/decompression sickness

分类

医药卫生

引用本文复制引用

王晔炜,徐伟刚..常规潜水减压算法中梯度因子的优化研究[J].军事医学,2017,41(3):165-168,4.

基金项目

第二军医大学军事医学专项(2014JS18) (2014JS18)

军事医学

OA北大核心CSCDCSTPCD

1674-9960

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