Noise Robustness Low-Rank Learning Algorithm for Electroencephalogram Signal Classification

Noise Robustness Low-Rank Learning Algorithm for Electroencephalogram Signal Classification

Electroencephalogram (EEG) is often used in clinical epilepsy treatment to monitor electrical signal changes in the brain of patients with epilepsy. With the development of signal processing and artificial intelligence technology, artificial intelligence classification method plays an important role...

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Bibliographic Details
Main Authors: Ming Gao, Runmin Liu, Jie Mao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Neuroscience
Subjects:
electroencephalogram
epilepsy
noise robustness
low-rank learning
pinball loss function
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.797378/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.797378/full

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