Electroencephalogram classification in motor-imagery brain–computer interface applications based on double-constraint nonnegative matrix factorization-Reference-Cited by-同舟云学术

Electroencephalogram classification in motor-imagery brain–computer interface applications based on double-constraint nonnegative matrix factorization

Published:2020-08-11 Issue:7 Volume:41 Page:075007
ISSN:1361-6579
Container-title:Physiological Measurement
language:
Short-container-title:Physiol. Meas.

Author:

Su Jing,Yang Zuyuan,Yan Wei,Sun Weijun

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Link

https://iopscience.iop.org/article/10.1088/1361-6579/aba07b/pdf

Reference41 articles.

1. Performance prediction of adaptive filters for EEG signal

2. Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

3. A Brain–Computer Interface (BCI) for the Detection of Mine-Like Objects in Sidescan Sonar Imagery

4. Multi-view low-rank sparse subspace clustering

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