CHARACTERISTIC CORRELATION OF EEG SIGNAL THE MOTOR MOVEMENT TO MEXICAN HAT WAVELET

A motor movement occurs for the command of brain through neuromuscular channel. Brain Computer Interface (BCI), refers to a system that is able to interpret the brain signal to make human able to have an interaction with environment without a need of neuromuscular channel. Event–Related Synchronization/ Desynchronization (ERS/ERD) is one of EEG signal types that can be used in the system of BCI. The signal occurred as a result of this motor movement is characterized by a significant increase and a decrease of amplitude compared to amplitude when brain is in a resting state. The emergence of ERS/ERD in this research is stimulated through a motor movement to turn the simulation of steering wheel to the right and left direction. In order to obtain the signal, signal processing is used that is in the form of centering, band-pass filter at 4- 20 Hz, signal correlation and Eigen value decomposition (EVD). The characteristic of EEG signal from motor movement of “turn right” and “turn left” has an equal form compared to Mexican Hat Wavelet. Hence, the process of classification is conducted using the method of testing data correlation towards Mexican Hat Wavelet. The correlation is performed to the testing data of 22 volunteers simultaneously and 4 volunteers in a different time. The outcome of the research then shows that the high value of correlation is obtained from 4 volunteers that are correlated compared to 22 volunteers in the same time. This shows that the correlation of the testing data using Mexican Hat will result in a high value of correlation if done in each volunteer with a different scale.