Wavelet-based pulse-abnormality analysis for heroin addicts.
- Author:
Yinghua ZHU
1
;
Kunbao CAI
;
Yongdong WANG
Author Information
1. College of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
- Publication Type:Journal Article
- MeSH:
Adult;
Algorithms;
Diagnosis, Computer-Assisted;
Female;
Fourier Analysis;
Heroin Dependence;
diagnosis;
physiopathology;
Humans;
Male;
Medicine, Chinese Traditional;
Pulse;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2006;23(5):986-990
- CountryChina
- Language:Chinese
-
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,with 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.
