Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns

Major depressive disorder (MDD) has become a leading contributor to the global burden of disease; however, there are currently no reliable biological markers or physiological measurements for efficiently and effectively dissecting the heterogeneity of MDD. Here we propose a novel method based on sca...

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Detalles Bibliográficos
Autores principales: Liao, Shih-Cheng, Wu, Chien-Te, Huang, Hao-Chuan, Cheng, Wei-Teng, Liu, Yi-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492453/
https://www.ncbi.nlm.nih.gov/pubmed/28613237
http://dx.doi.org/10.3390/s17061385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492453/
https://www.ncbi.nlm.nih.gov/pubmed/28613237
http://dx.doi.org/10.3390/s17061385

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