EEG Signal Processing Based on Incremental Sparse Nonnegative Matrix
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology,Beijing,China
2. Chinese PLA General Hospital,The Second Medical Center National Clinical Research Center for Geriatric Diseases,Department of Cardiology,Beijing,China
Funder
Beijing Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450192.pdf?arnumber=10450192
Reference14 articles.
1. Local fault detection of rolling element bearing components by spectrogram clustering with semi-binary nmf;Wodecki;Diagnostyka,2017
2. Gearbox Fault Diagnosis Based on Two-Class NMF Network Under Variable Working Conditions
3. Non-negative matrix factorization for single-channel EEG artifact rejection
4. Kernel nonnegative matrix factorization for spectral EEG feature extraction
5. Multichannel EEG brain activity pattern analysis in time–frequency domain with nonnegative matrix factorization support
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