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目的:研究一种用于脑部电阻抗成像数据回放分析的干扰预处理算法。方法:通过对脑部电阻抗图像监护数据进行统计学分析,计算标准差,从而检测干扰,并通过引入偏置量的方法对其进行滤除。结果:临床实验数据结果表明该算法可以在数据回放分析过程中有效滤除干扰的影响。结论:该方法是一种速度快、效果好的干扰预处理方法,可以很好地辅助大量临床数据的分析工作,为脑部电阻抗图像监护的临床深入研究打下基础。
OBJECTIVE: To study an interference preprocessing algorithm used in the playback analysis of brain electrical impedance imaging data. Methods: Through statistical analysis of the monitoring data of brain electrical impedance images, the standard deviation was calculated to detect the interference and filtered by introducing the bias. Results: The results of clinical experimental data show that this algorithm can effectively filter out the influence of interference during data replay analysis. Conclusion: This method is a fast and effective interference preprocessing method, which can be used to assist a large number of clinical data analysis and lay a foundation for clinical in-depth study of brain electrical impedance image monitoring.