DocumentCode :
252409
Title :
Consideration on a new BCI method using EEG to detect motion intention
Author :
Shimizu, T. ; Dobashi, H. ; Ito, K. ; Nagai, K.
Author_Institution :
Dept. of Robot., Ritsumeikan Univ., Kusatsu, Japan
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
785
Lastpage :
789
Abstract :
In our research, we aim to reconstruct the closed loop of the brain and the body for stroke rehabilitation. Stroke patients need to be supported externally when trying to move paralyzed parts of their bodies. In order to know the onset time of voluntary motions of patients, the motion intention needs to be detected. This paper considers a new BCI method using EEG to detect motion intention. The proposed method has two characteristics in EEG analysis: i) it can reduce the influence of noises; ii) it can deal with individual differences of users. The utility of the proposed method is verified with measured EEG in experiments.
Keywords :
bioelectric potentials; biomechanics; brain-computer interfaces; electroencephalography; medical disorders; medical signal processing; neurophysiology; patient rehabilitation; signal denoising; BCI method; EEG analysis; closed loop reconstruction; noise; patient motion intention; stroke patients; stroke rehabilitation; Elbow; Electroencephalography; Robots; Spectral analysis; Time-frequency analysis; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028138
Filename :
7028138
Link To Document :
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