提高收缩时间间期小波分析检测精度的研究

Study on the Improvement of Systolic Time Intervals (STI) Precision by Wavelet Analysis

由于心功能信号的随机性和变异性 ,应用小波分析进行心功能信号自动检测存在错检和漏检 .本文探讨了提高收缩时间间期检测精度的方法 ,在多道心功能信号综合处理的基础上 ,利用它们包含的生理信息 ,对单个特征点建立以动态阈值搜索和生理信号机理分析的检测策略 ,综合处理检测结果 .实验结果表明 ,心功能信号自动检测已达到临床应用要求 .

Because of signal randomness and variability of the heart function, there exist omission and mistake detectings by means of the wavelet analytical method. In this paper, the method to improve detecting precision of STI is studied. On the basis of multi_channel signals synthesize, physiological information is utilized. And strategy to individual eigen point detecting is established by dynamic threshold searching and physiological signal mechanism analysis, and finally detecting result is synthesized. Experimental results show that automatically detecting heart function signals has fulfilled clinical requirements.