Data set III: motor imagery
Group information:
Department of Biomedical Engineering
Tsinghua University
Beijing, 100084, P. R. China
Supervisor: GAO Xiaorong, Ph.D. ( gxr-dea@tsinghua.edu.cn )
Team Member: JIA Wenyan, Zhao Xianghua
Counselor: GAO Shangkai, YANG Fusheng
1. Description of our analysis system
[Figure: see DOC file]
Processing Flow:
a. Selecting subject-specific frequency bands: [10-12Hz]
b. Filtering the signals with the bandpass filter
c. Computing the energy feature of C3 and C4 for every sampling point
e(t)= sum_{i=0,...,n-1} X(t-i)^2 [n: length of window]
d. Constructing feature vector (dimension=2) for every trial and for
every sampling point
E_t= [e_C3(t), e_C4(t)]^T
e. Classifying by a linear discriminant analysis (LDA)
D_t= W_Tc^T * E_t + w_0
Dt is a time-varying signed distance function (TSD).
Dt<0 (Dt>0) means that trial is classified as a left (right) hand trial.