Title :
The feature extraction of motor imagery EEG based on the time-frequency correction
Author :
Dongyang, Wang ; Jing, Jin ; Xingyu, Wang
Author_Institution :
Key Lab. Adv. Control & Optimization for Chem. Processes of Minist. of Educ., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
A novel method based on Time-Frequency correction was presented to extract motor imagery feature from brain signal. The 2b datasets of BCI competition IV were used in this paper. Time-frequency features of right and left hand motor imagery were extracted from train datasets, respectively. The frequency band and time segment were selected based on frequency and time correction. The features were extracted from selected frequency band and time segment. The results showed that the classification accuracy using the features from selected frequency band and time segment is higher than that using the normal band power features.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; medical signal processing; signal classification; time-frequency analysis; brain signal; frequency band; frequency correction; left hand motor imagery; motor imagery EEG; motor imagery feature extraction; normal band power features; right hand motor imagery; time segment; time-frequency correction method; time-frequency features; Brain computer interfaces; Electroencephalography; Electronic mail; Feature extraction; Image segmentation; Optimization; Time frequency analysis; Band Power; Brain-Computer Interface (BCI); Motor Imagery; Time-Frequency Feature;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
