Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis

Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis

Abstract 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 c...

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Bibliographic Details
Main Authors: Guoqiang Hu, Tianyi Zhou, Siwen Luo, Reza Mahini, Jing Xu, Yi Chang, Fengyu Cong
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BioMedical Engineering OnLine
Subjects:
Nonnegative matrix factorization
Stability
Clustering
EEG
Online Access:http://link.springer.com/article/10.1186/s12938-020-00796-x

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http://link.springer.com/article/10.1186/s12938-020-00796-x

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