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
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