Study on classification and identification of depressed patients and healthy people among adolescents based on optimization of brain characteristics of network / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1037-1044, 2020.
Artículo
en Chino
| WPRIM
| ID: wpr-879234
ABSTRACT
To enhance the accuracy of computer-aided diagnosis of adolescent depression based on electroencephalogram signals, this study collected signals of 32 female adolescents (16 depressed and 16 healthy, age 16.3 ± 1.3) with eyes colsed for 4 min in a resting state. First, based on the phase synchronization between the signals, the phase-locked value (PLV) method was used to calculate brain functional connectivity in the θ and α frequency bands, respectively. Then based on the graph theory method, the network parameters, such as strength of the weighted network, average characteristic path length, and average clustering coefficient, were calculated separately (
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Encéfalo
/
Diagnóstico por Computador
/
Electroencefalografía
/
Máquina de Vectores de Soporte
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Límite:
Adolescente
/
Femenino
/
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2020
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS