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指标敏感性是多数客观实验研究都要面临的问题,多数研究中的敏感性主要是指标的灵敏度分析,而对于各项研究的指标群内各指标对所研究问题的贡献程度即指标重要性方面的敏感性研究还比较缺乏。本文以客观实验数据为基础,采用了聚类分析和主成分分析相结合的方法,通过指标群内各组合客观实验数据的个体贡献率的大小确定了短时程HRV时域指标的敏感性,给今后HRV指标选择敏感性研究提供一种可行的参考方法和理论依据。
Index sensitivity is the problem that most of the objective experimental research is confronted with. Most of the sensitivity in the research is mainly the sensitivity analysis of the index. For each research index, the contribution of each index to the research question is the importance of the index The sensitivity of the study is still relatively lacking. Based on the objective experimental data, this paper uses the combination of cluster analysis and principal component analysis to determine the sensitivity of short-range HRV time-domain index through the individual contribution rate of each objective objective experimental data in the index group, It provides a feasible reference method and theoretical basis for the future research on the sensitivity of HRV index selection.