Analysis of the Switching Information on Motor Imagery for Asynchronous BCI

Abstract

The Brain-Computer Interface (BCI) is a system for measuring brain nerve activity to operate devices. We have focused on motor imagery BCI through event related desynchronization (ERD) using μ rhythms. In order to increase the switch detection accuracy of motor imagery BCI through ERD using μ rhythms, we have proposed a method of analysis with the aim of investigating the appropriate analysis section width and number of attempts for ERD detection. Further, for the number of attempts, 30 times was considered the most appropriate. In order to research the appropriateness of the analysis section width and number of attempts for these, the same test was performed on 5 other test subjects and desynchronization was seen in the motor imagery of all of the test subjects. From here, the parameters for asynchronous BCI was obtained. In future, this should be verified on a test that actually uses asynchronous BCI.