Conductivity reconstruction of edema in human brain based on modified genetic algorithm / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 268-284, 2007.
Article
Dans Chinois
| WPRIM
| ID: wpr-357719
ABSTRACT
It is the intent of this study to estimate the progression or regression of edema at the bedside continuously. Based on the theoretic model, the Adaptive Genetic Algorithm (AGA) has been applied in the calculation of conductivity reconstruction. Dynamic crossover and mutation operators which are based on Haiming Distance are brought forward in this paper to maintain generation's diversity. Then, both AGA and Standard GA (SGA) have been applied in the conductivity reconstruction of edema in human brain. It is shown that AGA not only has attained a higher degree of efficiency but also has enhanced the capability to converge to the best answer.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Anatomopathologie
/
Algorithmes
/
Simulation numérique
/
Lésions encéphaliques
/
Impédance électrique
/
Oedème
/
Modèles biologiques
Type d'étude:
Étude pronostique
Limites du sujet:
Humains
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2007
Type:
Article
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