[Pulse signal processing based on continuous wavelet transform].
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.
Xie
Jiayu
J
Computer & Information Engineering Department, Chongqing Jiaotong University, Chongqing 400074, China.
Cai
Kunbao
K
D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D006556:Heroin Dependence / Q000503:physiopathology*; D006801:Humans; D008516:Medicine, Chinese Traditional; D011674:Pulse; D012815:Signal Processing, Computer-Assisted