title: [Wavelet-based pulse-abnormality analysis for heroin addicts].
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.
authors.affiliation: College of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
authors.forename: Yinghua
authors.initials: Y
authors.lastname: Zhu
authors.forename: Kunbao
authors.initials: K
authors.lastname: Cai
authors.forename: Yongdong
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000328:Adult; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D005260:Female; D005583:Fourier Analysis; D006556:Heroin Dependence / Q000175:diagnosis / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008516:Medicine, Chinese Traditional; D011674:Pulse; D012815:Signal Processing, Computer-Assisted