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. 2019 Sep 1;19(17):3791. doi: 10.3390/s19173791

Figure 2.

Figure 2

The system architecture of the proposed hierarchical classification model. (I) EEG signal preprocessing steps. (II) Event-related potential (ERP)-P300 wave during LHR and RHR inhibitions. (III) Phase blocking value (PLV) between two EEG signals during LHR and RHR inhibitions. (IV) Parametric (LDA, QDA) and non-parametric (PARZENDC, KNNC) classifiers, which are the most common classifiers used in BCI technologies.