EEG feature model

Published: 6 December 2023| Version 1 | DOI: 10.17632/rcdsfxdztb.1
Contributor:
shuhang luo

Description

The EEG data in normal state and motion sickness state were collected for nearly 3 minutes, and the EEG data contained 29 channels. According to the conclusions of previous research literature on motion sickness, VR motion sickness occurs in parietal lobe, occipital lobe, frontal lobe and temporal lobe. In order to avoid too many channels of EEG data and irrelevant channels reducing the effect of feature extraction, according to the relationship between brain regions and EEG signal acquisition channels, we select the corresponding EEG channels for processing, and we only select eight channels as follows: FP1, FP2, C3, C4, P3, P4, O1 and O2 channel.This dataset contains only classification tasks.For convenience, we rearranged the order and put the required frequency bands in the first eight channels. SSQ.xlsx is the score table of each subject watching video, and eegcut.py is the data script for our model classification experiment, which is used to segment the whole EEG data and save it as a new. mat file.

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Institutions

Xuzhou Medical University

Categories

Big Data

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