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Application prospects of monitoring of brain function and diagnosis of brain injury in premature infants based on multimodal data / 中华实用儿科临床杂志
Chinese Journal of Applied Clinical Pediatrics ; (24): 1055-1057, 2017.
Article Dans Chinois | WPRIM | ID: wpr-611882
ABSTRACT
It is critical to assess the development and injury of brain function in premature infants in early stage.Currently,brain development and brain injury are evaluated by many ways and mainly by kinds of imaging and behavioral neurological assessment.The integrated application of these examination methods have been explored for years.The combination of resting-state functional magnetic resonance imaging and electroencephalography has prominent advantages,because they do not need to perform specific tasks,and they are noninvasive and non-toxic for preterm infants.Based on the support vetor machine learning of artificial intelligence technology,the typical characteristics of 2 multimodal data can be integrated and a multimodal assessment system which automatically monitor and predict premature infants' brain function development and injury can be established.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Etude diagnostique / Étude pronostique langue: Chinois Texte intégral: Chinese Journal of Applied Clinical Pediatrics Année: 2017 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Etude diagnostique / Étude pronostique langue: Chinois Texte intégral: Chinese Journal of Applied Clinical Pediatrics Année: 2017 Type: Article