Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis

BACKGROUND: Nonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed. However, the performance of their use in EEG data analysis has not been fully compared....

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Guoqiang, Zhou, Tianyi, Luo, Siwen, Mahini, Reza, Xu, Jing, Chang, Yi, Cong, Fengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393858/
https://www.ncbi.nlm.nih.gov/pubmed/32736630
http://dx.doi.org/10.1186/s12938-020-00796-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393858/
https://www.ncbi.nlm.nih.gov/pubmed/32736630
http://dx.doi.org/10.1186/s12938-020-00796-x

Ejemplares similares