DocumentCode :
3005654
Title :
Single trial EEG classification of lower-limb movements using improved regularized common spatial pattern
Author :
Yudu Li ; Yu Sun ; Taya, Fumihiko ; Haoyong Yu ; Thakor, Nitish ; Bezerianos, Anastasios
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2015
fDate :
22-24 April 2015
Firstpage :
1056
Lastpage :
1059
Abstract :
Brain computer interface (BCI) is a direct communication pathway between the human central nervous system and external devices primarily aiming at restoring damaged functions such as sight, hearing and movement. Although great achievements have been made for the development of reliable BCI systems to assist people with upper-limb disabilities, researches on BCI development related to lower-limb are still rudimentary. In the current study, based on the regularized common spatial pattern analysis (R-CSP) method and statistical dependency, we have developed an improved feature selection method for lower-limb movement pattern classification. High-resolution electroencephalogram (EEG) signals were recorded from four healthy male subjects undergoing real lower-limb movements. Compared to the conventional CSP, R-CSP, and PCA methods, the proposed method achieved the best average accuracy of 83.5% for single trial classification of left and right lower-limb movement. Our findings thereby have insightful implications for developing practical BCI systems for lower-limb movement.
Keywords :
biomechanics; electroencephalography; feature selection; medical signal processing; signal classification; statistical analysis; BCI systems; brain-computer interface; feature selection; high-resolution electroencephalogram signals; human central nervous system; lower-limb movement pattern classification; regularized common spatial pattern analysis; single trial EEG classification; statistical dependency; Accuracy; Brain-computer interfaces; Covariance matrices; Electroencephalography; Feature extraction; Foot; Principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location :
Montpellier
Type :
conf
DOI :
10.1109/NER.2015.7146809
Filename :
7146809
Link To Document :
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