Title :
Correlation Between Forehead EEG and Sensorimotor Area EEG in Motor Imagery Task
Author :
Li, Kuangda ; Sun, Gufei ; Zhang, Bofeng ; Wu, Shaochun ; Wu, Gengfeng
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Electrodes connection on the scalp needs to apply gel or paste on the scalp and fit EEG-cap on the head and this procedure also needs to deal with the hair on it. By comparison, to fit EEG electrodes on the forehead area is much easier because there is no hair on it. If correlations of the EEGs generated from the forehead area are high with respect to EEGs from the sensorimotor area, it is then possible to achieve relatively high classification accuracy in motor imagery tasks just using EEG from forehead channels. In this way, it will help to make the procedure of motor imagery tasks much easier and convenient. Because correlation coefficients is often used to measure the similarity of two signals, it is necessary to study whether there is a high correlation between forehead channels´ EEG and EEG from sensorimotor area during MI(motor imagery) tasks. In this paper, EEG data from three subjects were used in the tests. Firstly, a test was conducted on the correlation between EEGs from forehead 8(Fp1-Af8) channels and EEGs from the sensorimotor area channel C3, C4 during the MI tasks. The correlation is calculated with respect to ERP (event-related-potential), spectral power between 6-25 Hz, and ERSP (event-related-spectral-perturbation) at Alpha rhythms 8-12 Hz. The results of the correlation tests are mostly above 70%. In particular, for subject Sl1, the correlation coefficient of ERSP between forehead channels and C3, C4 are as high as 0.9 during the left hand movement imagery trials. Secondly, we did a test on the classification of imagined left/right hand movement tasks using EEGs from 8 electrodes in the forehead. Classification results show that the accuracy of the forehead 8 channels´ EEGs are as high as 81% for subject Sk6 comparing to 90% using 29 channels´ EEG signal neighboring to C3, C4. For subject Sk3 and subject Sl1, the accuracies are 65% and 79% comparing to 80% and 83% using EEG signals from 29 channels neighboring to C3, C4. So there are high cor- relation between EEGs from the forehead area and EEGs from the sensorimotor area. That is to say, we can use EEGs from forehead in some situations, such as classification of left/right imagery, because they are much easier to measure than EEG form the sensorimotor area. This will make BCI system more portable and more convenient to use.
Keywords :
brain-computer interfaces; electrodes; electroencephalography; medical signal processing; BCI system; brain computer interface; correlation coefficients; electrodes; event-related-potential; event-related-spectral-perturbation; forehead channel EEG; frequency 6 Hz to 25 Hz; left-right imagery classification; motor imagery task; sensorimotor area EEG; Area measurement; Electrodes; Electroencephalography; Enterprise resource planning; Forehead; Hair; Head; Rhythm; Scalp; Testing;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.66