Data
Set I: Motor imagery in ECoG recordings, Session-to-session transfer
Group information:
Department of Biomedical Engieering,
Team director: Xiaorong GAO (gxr-dea@tsinghua.edu.cn)
Team member: Qingguo Wei, Fei Meng,
Yijun Wang
Team supervisor: Shangkai GAO
Predicted labels: (listed also in
TSINGHUA_dataset1_testlabels.mat)
test
trials |
predicted labels |
|||||||||
1~10 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
1 |
-1 |
11~20 |
1 |
1 |
1 |
-1 |
1 |
1 |
-1 |
-1 |
1 |
1 |
21~30 |
1 |
-1 |
-1 |
1 |
1 |
-1 |
1 |
1 |
-1 |
1 |
31~40 |
1 |
-1 |
1 |
-1 |
1 |
-1 |
1 |
1 |
1 |
1 |
41~50 |
1 |
-1 |
1 |
-1 |
1 |
-1 |
-1 |
1 |
1 |
-1 |
51~60 |
-1 |
1 |
1 |
-1 |
-1 |
-1 |
1 |
-1 |
-1 |
-1 |
61~70 |
1 |
-1 |
-1 |
-1 |
1 |
-1 |
1 |
-1 |
1 |
-1 |
71~80 |
1 |
-1 |
1 |
-1 |
-1 |
1 |
1 |
1 |
1 |
1 |
81~90 |
-1 |
1 |
-1 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
91~100 |
-1 |
-1 |
1 |
-1 |
-1 |
-1 |
-1 |
1 |
1 |
1 |
Processing technique:
Three features are combined to perform
classification task. Two of them are extracted by common spatial subspace
decomposition (CSSD) and Fisher discriminant analysis (FDA), and another
feature is derived from waveform mean (WM) and FDA. The classifier is support
vector machines (SVM).