插值是丰富离散数据有效的方法,文章在构建心磁相关序列的基础上,研究了离散心磁数据插值前后的相关性,将统计学秩和检验引入来判断系统是否有显著性差别,并在频域范围内,对插值前后数据进行解析。经过相关性和统计学秩和检验分析后,得出插值前后的数据系统存在具体的联系,证实插值前后的数据没有显著差别,并且插值前后的心磁数据保持了相关系数、方差、峰度、幅频波形的一致性。因此插值是丰富心磁医学数据的有效方法。
Interpolation is an effective method to enrich discrete data. In this paper, on the basis of the construction of magnetocardiography(MCG) correlation sequence, the correlation analysis of the dis- crete MCG data before and after interpolation is conducted, and the statistical rank sum test is intro- duced to determine whether there is a significant difference between the interpolated data and the primitive one. Finally, the interpolated and primitive data is analyzed in the frequency domain. Based on the results of the correlation and statistical rank sum test analyses, it is pointed out that there is a specific relationship between the data systems before and after interpolation and there is no significant difference between the interpolated data and the primitive one. The correlation coefficient, variance, kurtosis and amplitude-frequency waveform keep consistent after interpolation. Therefore, the inter- polation is an effective method to enrich MCG medical data.