Wavelet-based pulse-abnormality analysis for heroin addicts / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 986-990, 2006.
Article
in Chinese
| WPRIM
| ID: wpr-320437
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pulse
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Diagnosis, Computer-Assisted
/
Diagnosis
/
Fourier Analysis
/
Heroin Dependence
/
Medicine, Chinese Traditional
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2006
Type:
Article
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