摘要
中心动脉压的临床医学意义虽大于传统肱动脉和桡动脉血压,但其推算方法一直以来受基于有创伤数据的通用转换函数(General Transform Function,GTF)的建立和桡动脉脉搏波中隐蔽潮波位置的确定的约束。提出利用公开的有创伤中心动脉数据(麻省理工学院医学院的MIMIC重症监护数据,MIT MIMIC),通过傅里叶变换获得GTF,根据中心动脉收缩压数值,结合小波变换,反推脉搏波的隐蔽型潮波位置。研究发现,桡动脉脉搏波经小波sym4和haar变换后,其各自第3阶差值波的最大值后的第6个过零点为隐蔽型潮波位置。实验结果表明,利用所提方法获得隐蔽型潮波位置的识别准确率达到91.11%。
Although the clinical significance of central arterial pressure is superior to traditional brachial artery and radial artery blood pressure,its estimation method is bound by the establishment of GTF(General Transform Function)and the tidal wave position determination of radial artery wave.In this paper,GTF was obtained by Fourier transform on published traumatic central arterial data(MIT MIMIC,MIMIC Database(minicdb)),and according to the central arterial systolic pressure value,combining with wavelet transform on radial artery wave,tidal wave position was calculated.It is found that the sixth zero crossing of the radial wave pulse wave after the sym4 and haar transformations on the radial pulse wave is the concealed tidal wave position after the maximum value of the third order difference wave.The experimental results show that the accuracy of the concealed tidal wave position recognition is up to 91.11%.
出处
《计算机科学》
CSCD
北大核心
2017年第10期51-54,70,共5页
Computer Science
基金
天津市自然科学基金(16JCYBJC15300
15JCYBJC15800)
中国民航大学省部级科研机构开放基金(CAAC-ITRB-201603)资助