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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-07-01
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Series: | BioMedical Engineering OnLine |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12938-020-00796-x |