基于小波的海洛因成瘾者脉象异常分析

Wavelet-based Pulse-abnormality Analysis for Heroin Addicts

利用小波变换的方法,对15例海洛因成瘾者和15例正常人的脉搏信号的时频特征予以分析,根据用于显示离散二进小波变换的三维图形及等高线图,海洛因成瘾者与正常人脉象信号间时频特征的显著差异予以揭示,由此得出了初步的判据。根据该判据,15例海洛因成瘾者全部被检测出来,正常人有2例误检。研究结果表明,基于小波的多分辨率分析是提取脉搏信号特征的一种非常有效的方法。本文对于海洛因成瘾者的诊疗具有一定的价值。

Using wavelet transforms method, time-frequency characteristics of pulse signals from 15 heroin addicts and 15 healthy persons were analyzed. According to 3-D and contour plots used to display discrete dyadic wavelet transforms, the significant difference of time-frequency characteristics between the signals of heroin addicts and healthy persons were revealed. A primary criterion was also obtained,wlth the criterion, 15 heroin addicts were entirely identified, while two healthy subjects were misidentified. The research result shows that the wavelet-based multiresolution analysis is a very effective method to extract characteristics of pulse signals. It is valuable to the diagnosis and therapy for heroin addicts.