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Fig. 3 | Brain Informatics

Fig. 3

From: Classifying oscillatory brain activity associated with Indian Rasas using network metrics

Fig. 3

The workflow of the present paper: (Box 1) EEG data acquisition is performed when a participant watches movie clips. The subsequent step involves preprocessing and segmentation of EEG signals into epochs of 5 s. Then the extracted segments are passed for frequency decomposition into five frequency bands comprising delta (1–4 Hz), theta (4–7 Hz), alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–35 Hz) bands. This is followed by the construction of brain networks with a threshold that retains the significant connections. Network properties are computed from the thresholded functional networks. These network properties are then used as features to build binary classifiers between \(\textit{Rasa}\)s. Resultant models are selected based on the significance of the permutation test (Box 2). From the selected models, we identify the distinguishable and indistinguishable pairs and the frequency bands in which these pairs appear

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