模拟失重条件下多种内分泌的最大熵谱分析

本文用最大熵谱分析的方法对6名被试者在模拟失重条件下多种内分泌的变化特点和规律进行了探讨,确立了一种定量地评价被试者对模拟失重适应性的方法,以信息熵评价和度量内分泌系统紊乱程度是行之有效的。研究结果表明:凡在模拟失重条件下症状重者,信息熵增大;症状轻者,熵值小。这一结果与实际情况非常吻合。本文还探讨了用多元回归方法补遗漏失数据的问题,结果令人满意。上述结果对航天员选拔和医务监督都具有重要意义。

Maximun Entropy Spectra Analysis of Circadian Rhythm of Multiple Endocrines Under Simulated Weightlessness

Characteristics and rules of changes in multiple endocrines were analyzedin 6 subjects under simulated weightlessness using a method of maximumentropy spectra with which a quantitative evaluation of human adaptation tosimulated weightlessness could be done.It has been proved effective that en-tropy is used to assess and measure the extent to which endocrine system isdisordered.The results demonstrated that the more serious a subject's symp-toms were,the larger his entropy was.This conclusion conformed very muchto reality,The method of multiple variables linear regression was used forsupplying the missing data and the result was satisfactory.The results of thisstudy will be significant for astronaut selection and medical monitoring forthem in space.