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| 基于小波的海洛因成瘾者脉象异常分析 | |
| 引用本文： | 朱英华,蔡坤宝,王永东. 基于小波的海洛因成瘾者脉象异常分析[J]. 生物医学工程学杂志, 2006, 23(5): 986-990 |
| 作者姓名： | 朱英华 蔡坤宝 王永东 |
| 作者单位： | 1. 西南交通大学,电气学院,成都,610031 2. 重庆大学,电气工程学院,重庆,400044 3. 重庆大学,通信与测控工程学院,重庆,400044 |
| 基金项目： | 致谢：重庆市公安局江北分局强制戒毒所石永智副主任医师,万宪强所长等对本论文的研究工作给予了极大的帮助和支持,在此,谨向他们表示最衷心的感谢! |
| 摘 要： | 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。 |
| 关 键 词： | 海洛因成瘾者 小波变换 时频分析 脉搏 |
| 收稿时间： | 2003-11-25 |
| 修稿时间： | 2003-11-252004-09-29 |
Wavelet-based Pulse-abnormality Analysis for Heroin Addicts |
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| Zhu Yinghua,Cai Kunbao,Wang Yongdong. Wavelet-based Pulse-abnormality Analysis for Heroin Addicts[J]. Journal of biomedical engineering, 2006, 23(5): 986-990 | |
| Authors: | Zhu Yinghua Cai Kunbao Wang Yongdong |
| Affiliation: | College of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China. |
| Abstract: | 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. |
| Keywords: | Heroin addicts Wavelet transform Time-frequency analysis Pulse |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |