摘要
肺电阻抗信号含有肺脏血液供应强度、血管弹性、阻力等血流动力学信息,可用于诊断与鉴别各种心脏病及判定心脏功能。肺阻抗信号上的特征点是分析肺组织血流动力学信息的主要依据。本文以小波变换为基础,提取肺阻抗信号的特征点。首先将肺阻抗信号特征点的尺度波形制成模板,接着将肺阻抗信号经小波变换得到小波系数波形,最后把小波系数波形与该模板进行匹配运算,以定位特征点。实验结果证明,借助于小波变换定位特征点,实时性强,检测效率高,是一个有效可行的方法。
Lung electrical impedance signal carries the information of hemodynamics such as pulmonary blood supply intensity, vessel elasticity, blood flow resistance and so on. It can be used to diagnose and distinguish various kinds of heart diseases and to judge cardiac functions. The character points of lung impedance are the main basis to analyze the information of hemodynamics. This article is based on wavelet transformation to extract the character points of lung impedance. First we used the scale waveform of character points of lung impedance to make the template. Then we got wavelet ratio wave form from lung impedance by wavelet transformation, Finally we used the wavelet ratio wave form to do matching operation with the template in order to locate character points. The result of experiment demonstrates that it is an efficient and feasible method to locate character points by wavelet transformation because of its strong real time and high detection efficiency.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2012年第6期1197-1200,1206,共5页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(61172046)
福建省自然科学基金资助项目(2011J01363)
关键词
肺
生物电阻抗
小波变换
特征点
模板匹配
Lung Electrical bio-impedance （EBI） Wavelet transform Character point Template matching
