ERS and ERD analysis during the imaginary movement of arms

Brain-Computer Interface (BCI) is an interface technique between human and computer which can help severely motor-disabled persons to communicate and control their environment. Many researchers use EEG signals for BCI. However, these studies are early stages and it has some problems such as a lack of accurate analysis and measurements with many electrodes. Therefore, we propose an EEG signals measurement method and analysis methods for BCI. Our purpose of this study is to recognize subject’s intention when they move their arms. EEG signals are recorded during the imaginary movement of subject’s arms at electrode positions Fp1, Fp2, C3, and C4. We analyzed ERS (Event-Related Synchronization) and ERD (Event-Related Desynchronization) which are detected when people move their limbs in the mu wave and beta wave. Results of this study showed that ERD occurred in mu waves and ERS occurred in beta waves at C3 during the imaginary movement of right arm. Similarly, ERD occurred in mu waves and ERS occurred in beta waves at C4 during the imaginary movement of left arm. And ERD occurred at Fp1 and Fp2, in both case.