Pulse signal processing based on continuous wavelet transform / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 469-472, 2004.
Article
in Chinese
| WPRIM
| ID: wpr-291086
ABSTRACT
Using the common algorithm and the Mellin algorithm of a continuous wavelet transform, we analyzed the pulse signals of 15 heroin addicts and 15 normal persons. With the use of two algorithms, every pulse signal was processed under 4 scales. From the analyzed results, we found that there was significant difference of wavelet transform coefficients in the time interval 0.2 to approximately 0.4 seconds between the heroin addicts and normal persons. In this paper, the critical parameter used to classify heroin addicts and normal persons is given to every algorithm. The research result of this paper shows that the continuous wavelet transform is really an effective method for processing pulse signals.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pulse
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Diagnosis, Computer-Assisted
/
Heroin Dependence
/
Medicine, Chinese Traditional
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2004
Type:
Article
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