Fig. 3: Feature extraction from EEG data across brain areas and frequency bands. | npj Science of Learning

Fig. 3: Feature extraction from EEG data across brain areas and frequency bands.

From: Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking

Fig. 3

(a) Data recording set up. (b) EEG data analysis. (c) Extraction of EEG features from 21 individual Brodmann Areas (BAs) across four frequency bands. (d) The feature extraction process results in a comprehensive set of 168 distinct EEG features. Part (a) of this figure was developed by the ATLAS illustrator Shared Resource at RPCCC, using the Adobe Illustrator software.

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