A Study on Sensitive Bands of EEG Data under Different Mental Workloads

A Study on Sensitive Bands of EEG Data under Different Mental Workloads

Electroencephalogram (EEG) signals contain a lot of human body performance information. With the development of the brain−computer interface (BCI) technology, many researchers have used the feature extraction and classification algorithms in various fields to study the feature extraction a...

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Bibliographic Details
Main Authors: Hongquan Qu, Zhanli Fan, Shuqin Cao, Liping Pang, Hao Wang, Jie Zhang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Algorithms
Subjects:
BCI
EEG
feature selection
EEG band
Gini impurity
SVM
Online Access:https://www.mdpi.com/1999-4893/12/7/145

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https://www.mdpi.com/1999-4893/12/7/145

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