Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants

Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants

Electroencephalogram (EEG) channel optimization can reduce redundant information and improve EEG decoding accuracy by selecting the most informative channels. This article aims to investigate the universality regarding EEG channel optimization in terms of how well the selected EEG channels can be ge...

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Bibliographic Details
Main Authors: Yuxi Shi, Yuanhao Li, Yasuharu Koike
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Bioengineering
Subjects:
electroencephalogram
channel optimization
sparse logistic regression
brain–computer interface
Online Access:https://www.mdpi.com/2306-5354/10/6/664

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https://www.mdpi.com/2306-5354/10/6/664

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