International Symposium on Affective Science and Engineering
Online ISSN : 2433-5428
ISASE2022
Session ID : AM-1B-5
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Affective Robotics
Coherence Analysis of EEG during Motor Imagery and BCI Manipulation
Yuta GOTOHisaya TANAKA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this study, we hypothesized that there is a relationship between the success rate of motor imagery and coherence. Further, we conducted experiments, and analyzed the results. In the experiment, the motor imagery part was performed 40 times for two motions after training 60 times for three motions. In the motor imagery part, EEG: electroencephalogram was as measured before and during motor imagery. Coherence analysis was performed on the combination of the measuring electrodes, and the coherence before and during motor imagery was compared; a straight line was drawn between the significantly reduced electrode pairs. When comparing the strong and weak groups with success rates of over 50% and under 50%, respectively, the coherence of the entire brain of the strong group was confirmed to decrease because of motor imagery. Additionally, when the relationship between the success rate of motor imagery and the number of electrodes with significantly reduced coherence was plotted on a scatter plot, the graph was upward-sloping when recalling the right arm, and a strong positive correlation was observed. Further, when the left arm was visualized, the graph was upward-sloping, and a positive correlation was observed. This indicates a relationship between the success of motor imagery and the decrease in coherence during motor imagery of the entire brain.

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