An Analysis of the Effect of EEG Frequency Bands on the Classification of Motor Imagery Signals
نویسنده
چکیده
The EEG frequency bands are brain rhythms that indicate the activity level of the brain. This paper investigates the effects of the sub-band frequency on the classification of motor imagery of hand movements. Ten sub-bands of 10Hz width between 0 to 100 Hz are chosen. Band power features of the sub-bands are classified using a neural classifier. Motor imagery signals recorded from the C3 and C4 channels for four tasks are used in the analysis. Classification rates of 89.23% 94.47% were achieved for sub-band frequencies ranging from 21Hz to 40 Hz for motor imagery signals. Results show that apart from mu and beta, low gamma frequencies are also better suited for motor imagery classification
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