Three Classification Forearm Movement Direction Information Decoding Based on EEG
[1]Lu Peng,Zhang Lipeng,Hu Yuxia,et al.Three Classification Forearm Movement Direction Information Decoding Based on EEG[J].Journal of Zhengzhou University (Engineering Science),2018,39(06):93-96.[doi:10.13705/j.issn.1671-6833.2018.06.004]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 06
Page number:
93-96
Column:
Public date:
2018-10-24
- Title:
- Three Classification Forearm Movement Direction Information Decoding Based on EEG
- Keywords:
- EEG; His right arm. The movement direction; WPD. CSP
- CLC:
- -
- Abstract:
- This study aimed to study of forearm movement direction based on non-invasive brain machine interface technology. An autonomic movement expermental paradigm and was desighed, the EEG (electroencephalograph) signal of two stages of autonomous motion planning and execution was anaused. Method that combines the WPD (wavelet packet decomposition) and CSP (common spatial patterns) was used to extract characteristics. The SVM (support vector machine) was further used to classify multidimensional characteristics. Experiment on subjects withness the average 80% accuracy of three classifications (left, right and static) .The results showed that the combined method could effectively resolve direction information of EEG.
- References:
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- Similar References:
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Last Update:
2018-10-27