Long-Term EEG Component Analysis Method Based on Lasso Regression

Long-Term EEG Component Analysis Method Based on Lasso Regression

At present, there are very few analysis methods for long-term electroencephalogram (EEG) components. Temporal information is always ignored by most of the existing techniques in cognitive studies. Therefore, a new analysis method based on time-varying characteristics was proposed. First of all, a re...

Full description

Bibliographic Details
Main Authors: Hongjian Bo, Haifeng Li, Boying Wu, Hongwei Li, Lin Ma
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Algorithms
Subjects:
emotion cognition
Lasso regression
EEG component analysis
long-term EEG
affective computing
Online Access:https://www.mdpi.com/1999-4893/14/9/271

Internet

https://www.mdpi.com/1999-4893/14/9/271

Similar Items