Title :
Research on feature extraction algorithm based on motor imagery EEGs
Author :
Sun Yuge ; Ye Ning ; Yang Jie
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Based on the event-related synchronization/desynchronization phenomena in the motor imagery EEGs, the wavelet packet transform is applied to decompose C3 and C4 channel signals into different rhythms and extracts the EEG energy of μ and β rhythm. The feature extraction is realized by using EEG rhythm energy ratio. Features extracted by this method fully reflect the characteristics of the motor imagery EEGs. The recognition result proves the efficiency of the method.
Keywords :
electroencephalography; feature extraction; medical signal processing; wavelet transforms; β rhythm; μ rhythm; C3 channel signals decomposition; C4 channel signals decomposition; EEG rhythm energy ratio; event-related synchronization/desynchronization phenomena; feature extraction algorithm; motor imagery EEG; wavelet packet transform; Brain-computer interfaces; Conferences; Electroencephalography; Feature extraction; Synchronization; Wavelet packets; event-related synchronization/desynchronization; motor imagery EEG; wavelet packet decomposition;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161916
