Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface.
第一作者:
Haider,Raza
第一单位:
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK.
作者:
关键词
BCI, Brain-computer-interfaceBrain-computer interface (BCI)CS, Covariate shiftCSA, Covariate shift adaptationCSE, Covariate shift estimationCSE-UAEL, CSE-based unsupervised adaptive ensemble learningCSP, Common spatial patternCSV, Covariate shift validationCSW, Covariate shift warningCovariate shiftDWEC, Dynamically weighted ensemble classificationEEG, ElectroencephalographyERD, SynchronizationERS, DesynchronizationEWMA, exponential weighted moving averageElectroencephalogram (EEG)Ensemble learningFB, Frequency bandFBCSP, Filter bank common spatial patternKNN, K-nearest-neighborsLDA, Linear discriminant analysisMI, Motor imageryNSL, Non-stationary learningNon-stationary learningPCA, Principal component analysisPWKNN, Probabilistic weighted K-nearest neighbourRSM, Random subspace methodSSL, Semi-supervised learning
DOI
10.1016/j.neucom.2018.04.087
PMID
32226230
发布时间
2020-04-02
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Neurocomputing
154-166页
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