Search Result

1

Cross-domain feature learning method for motor imagery EEG signals

运动想象脑电信号的跨域特征学习方法

Wei Hongyu

Chen Lifei

Luo Tianjian

motor imagery

EEG signal

cross-domain feature learning

domain adaptation

covariance alignment

No. 8, 2022 : 2340-2346,2351 doi:10.19734/j.issn.1001-3695.2022.01.0016

2

Importance selection and recognition of EEG signals guided by virtual human

虚拟人引导的脑电信号重要性选择与识别

Yang Shuying

Guo Yangyang

Tian Di

Zhao Min

state space model

random forest algorithm

EM algorithm

GRU model

No. 12, 2021 : 3692-3696 doi:10.19734/j.issn.1001-3695.2021.04.0170

3

Research on emotion recognition based on EEG signals

基于脑电信号的情感识别研究

Zhang Jiarui

Wang Gang

EEG signal

emotion recognition

differential entropy(DE)

selection of channels

genetic algorithm

No. 11, 2019 : 3306-3309 doi:10.19734/j.issn.1001-3695.2018.05.0295

4

EEG emotion recognition based on piecewise complex multi-scale fuzzy entropy and IGWO-SVM algorithm

分段复合多尺度模糊熵和IGWO-SVM的脑电情感识别

Wei Xue

Wu Qing

EEG signals

emotion recognition

improved grey wolf optimizer algorithm

SVM optimization algorithm

piecewise complex multi-scale fuzzy entropy

No. 11, 2019 : 3310-3314,3356 doi:10.19734/j.issn.1001-3695.2018.05.0299

5

EEG signals decomposition based on improved ensemble empirical mode decomposition method

基于改进的经验模态方法脑电信号分解

Wang Chenglong

Wei Wei

Li Tianyong

empirical mode decomposition(EMD)

undershoot phenomenon

EEG

envelope fitting

No. 7, 2019 : 2020-2022 doi:10.19734/j.issn.1001-3695.2018.01.0036

Search EEG signals

SearchEEG signalsreturned 5 results

Cross-domain feature learning method for motor imagery EEG signals

Importance selection and recognition of EEG signals guided by virtual human

Research on emotion recognition based on EEG signals

EEG emotion recognition based on piecewise complex multi-scale fuzzy entropy and IGWO-SVM algorithm

EEG signals decomposition based on improved ensemble empirical mode decomposition method