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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...
10 p hcmute 16/06/2017 412 1
Từ khóa: EEG Technique; Bandpass Filter; Average Partial Power Spectrum Density; Neuron Network Model
Average Partial Power Spectrum Density For Motor Imagery Classification Using 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 movements, an Artificial Neuron Network...
10 p hcmute 16/11/2016 377 1
Từ khóa: EEG Technique; Bandpass Filter; Average Partial Power Spectrum Density; Neuron Network Model
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