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Average Partial Power Spectrum Density For Motor Imagery Classification Using EEG

Brain Computer Interface (BCI) has attracted many researchers in recent years. One of non-invasive tech- niques for the BCI issue is Electroencephalography (EEG). In this paper, we proposed an average partial power spectrum density method to classify mental tasks. The relevant mental tasks are: left hand movement, right hand movement and rest. The proposed method is the combination of a 2 Hz bandpass filter and an Average Partial Power Spectrum Density (APPSD) algorithm in the specific frequency ranges to find out features of imagery. From the obtained features of move- ments, an Artificial Neuron Network (ANN) model was used to classify imagery status. Experiments were performed on 2 subjects with 200 runs per subject to illustrate the effectiveness of the proposed method

Từ khóa: EEG Technique; Bandpass Filter; Average Partial Power Spectrum Density; Neuron Network Model

10 p ovanketv4 16/06/2017 406 1

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