多分辨率分析在HRV信号分析中的应用  

Application of Multi Resolution Analysis to HRV Signal Analysis

作　　者：单立场[1] 蔡坤宝[1] 王永东[1] 

机构地区：[1]重庆大学通信工程学院,重庆400030

出　　处：《计算机技术与发展》2008年第1期250-252,F0003,共4页Computer Technology and Development

基　　金：重庆市自然科学基金项目(CST2004BB)

摘　　要：根据HRV信号的随机特性，采用小波变换中的多分辨率分析算法对其进行分析，旨在提取海洛因吸毒者HRV信号的异常信息。基于小波变换的HRV信号的尺度谱携带有人体健康状况的重要特征信息，应用多分辨率分析法，对22例海洛因成瘾者和22例正常人的HRV信号进行6尺度分解，计算尺度系数和各小波系数的能量，除Cd3（0．5～1Hz）和Cd4（0．25～0．5Hz）频段外，成瘾者能量的均值要大于正常人对应的值。研究结果表明，小波包变换是提取海洛因吸毒者HRV信号中异常信息的有效工具。According to the randomness of heart rate variability signals, the multiresolution analysis of the wavelet transform is used to analyze such signals in this paper. Its purpose is to extract the abnormal information from the HRV signals of heroin druggets. The scale spectrum based on the wavelet transform of pulse signaLs carries the important characteristic information of the health situation of human body. In this paper, the heart rate varibility signaLs of 22 heroin druggets and 22 healthy persons are decomposed into 6 layers with multiresolution analysis and calculated the energy of every scaling coefficient and wavelet coefficient. It is found that the mean values of the energy of the decomposition coefficient in suhspaces Ca6, Cd6, Cd5,…, Cd1 for heroin durggers, except for bands Cd3 and Cd4 , are all greater than the corresponding values for normal perons. The result shows that the wavelet transform is an effective tool to extract the abnormal information from the HRV signals of heroin durggers.

关 键 词：小波变换 多分辨率分析 心率变异性 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]