摘要
热波动分析是近年来发展的一类皮肤微循环功能障碍检测方法,目前相关的软、硬件的发展还处于比较早期的阶段,距临床应用还有较大距离。为便于使用小波分析方法对微循环血流/温度信号进行时频分析,本文基于MATLAB GUI编程开发了一个有图像用户界面的应用软件,该软件主要包括了文件模块、小波分析模块、检测结果模块以及相关性分析模块4部分。本文首先介绍了小波分析方法在生物信号分析中的应用,然后通过几个实例对软件的信号小波变换、信号波动幅值变化提取、检测结果统计以及信号互相关分析功能进行了介绍,期望本软件能够在血流/温度信号时频分析、微循环功能检测方面提供帮助。
Thermal wave analysis is an indirect method for the detection of skin microcirculation dysfunction developed in recent years.However,the development of related hardwares and softwares are still in the early stages and can’t satisfy the needs of clinical applications very well.In order to easily perform the time-frequency analysis of microvascular blood flow and temperature signals by using wavelets,we developed an application software with graphical user interface based on MATLAB GUI,including four modules:files,wavelet analysis,detection results and correlation analysis.We firstly introduced the application of wavelets in the analysis of biological signals.The function of this software was introduced briefly with some real cases,such as:signal wavelet transforms,the extraction of signal fluctuation amplitude,statistics of detection results and signal cross-correlation analysis.It is expected that the software we described in this paper can aid the time-frequency analysis of biological signals and the detection of skin microcirculation dysfunctions.
作者
唐元梁
贺缨
TANG Yuanliang;HE Ying(School of Energy and Power,Dalian University of Technology,Dalian Liaoning 116024,China)
出处
《中国医疗设备》
2018年第4期29-33,45,共6页
China Medical Devices
基金
国家自然科学金面上项目(51576033)
大连市国际合作项目(2015F11GH092)
关键词
小波分析
微循环
热波动分析
糖尿病
互相关分析
wavelet analysis
microcirculation
thermal wave analysis
diabetes
cross-correlation analysis
