Specificity study of visualization analysis of electroencephalogram diagnosis of depression based on CiteSpace / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 919-931, 2021.
Article
en Zh
| WPRIM
| ID: wpr-921830
Biblioteca responsable:
WPRO
ABSTRACT
This paper analyzed literatures on the specificity study of electroencephalogram (EEG) in the diagnosis of depression since 2010 to 2020, summarized the recent research directions in this field and prospected the future research hotspots at home and abroad. Based on databases of China National Knowledge Infrastructure (CNKI) and the core collection of Web of Science (WOS), CiteSpace software was used to analyze the relevant literatures in this research field. The number of relevant literatures, countries, authors, research institutions, key words, cited literatures and periodicals related to this research were analyzed, respectively, to explore research hotspots and development trends in this field. A total of 2 155 articles were included in the WOS database. The most published institution was the University of Toronto, the most published country was the United States, China occupied the third place, and the hot keywords were anxiety, disorder, brain and so on. A total of 529 literatures were included and analyzed in CNKI database. The institution with the most publications was the Mental Health Center of West China Hospital of Sichuan University, and the hot keywords were EEG signal, event-related potential, convolutional neural network, schizophrenia, etc
Palabras clave
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Publicaciones
/
Estados Unidos
/
Programas Informáticos
/
Bases de Datos Factuales
/
Depresión
/
Electroencefalografía
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
País/Región como asunto:
America do norte
Idioma:
Zh
Revista:
Journal of Biomedical Engineering
Año:
2021
Tipo del documento:
Article