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
Dans Chinois
| 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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Pouls
/
Algorithmes
/
Traitement du signal assisté par ordinateur
/
Diagnostic assisté par ordinateur
/
Diagnostic
/
Analyse de Fourier
/
Dépendance à l'héroïne
/
Médecine traditionnelle chinoise
Type d'étude:
Etude diagnostique
/
Étude pronostique
Limites du sujet:
Adulte
/
Femelle
/
Humains
/
Mâle
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2006
Type:
Article
Documents relatifs à ce sujet
MEDLINE
...
LILACS
LIS