-
Notifications
You must be signed in to change notification settings - Fork 5
/
OACCA_acc_tsinghua_2021.m
330 lines (273 loc) · 14.3 KB
/
OACCA_acc_tsinghua_2021.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
clear all
close all
addpath('../mytoolbox');
%addpath('D:\chiman\Dropbox\Disk\Matlab\mytoolbox');
filename=mfilename('fullpath');
str_save='OACCA_accuracy_tsinghua_2021.mat';
frequencySet=[8:0.2:15.8];
phaseSet=[0 0.5 1 1.5 0 0.5 1 1.5 0 0.5 1 1.5 0 0.5 1 1.5 0 0.5 1 1.5 ...
0 0.5 1 1.5 0 0.5 1 1.5 0 0.5 1 1.5 0 0.5 1 1.5 0 0.5 1 1.5]*pi;
temp=reshape([1:40],8,5);
temp=temp';
target_order=temp(:)';
% target_selection=[1:1:40];
% target_order=target_order(target_selection);
% frequencySet=frequencySet(target_selection);
% phaseSet=phaseSet(target_selection);
% online_learn_idx1=[1:length(frequencySet)];
% online_learn_idx2=[1:length(frequencySet)];
% online_learn_idx3=[1:length(frequencySet)];
% online_learn_idx4=[1:length(frequencySet)];
% [sort_v,sort_freq_idx]=sort(frequencySet);
nConditions = length(frequencySet);
condition = 1:nConditions;
srate = 250;
stimTime = 2;
dataLength = round(stimTime*srate);
delayTime = 0.12;% visual latency
latencyDelay = round(delayTime*srate);% time windows for CCA training
pressvepLength = round(0.12*srate);
% epochTime = stimTime + delayTime;
% eeg_channels = [1:62];
eeg_channels = [48 54 55 56 57 58 61 62 63]; % Pz, PO5, PO3, POz, PO4, PO6, O1, Oz, O2
numOfSubband = 5;
multiplicateTime = 5;
%dataset_str='..\Tsinghua dataset 2016\';
dataset_str='/data/2016_Tsinghua_SSVEP_database/';
nSubjects=35;
blocknum=[1:6];
tw_length=floor([0.6:0.1:1.5]*srate);
tic
subj_num_count=1;
data1=zeros(length(eeg_channels),dataLength+latencyDelay,length(target_order),length(blocknum),nSubjects);
ssvepdata=zeros(length(eeg_channels),dataLength,length(target_order),length(blocknum),nSubjects,numOfSubband);
ssvepdata_stream=zeros(length(eeg_channels),dataLength,length(target_order)*length(blocknum),nSubjects,numOfSubband);
ssvepdata_stream_label=zeros(1,length(target_order)*length(blocknum));
ssveptemplate=zeros(length(eeg_channels),dataLength,length(target_order),nSubjects);
tic
for sn=1:nSubjects
load([dataset_str 'S' num2str(sn) '.mat']);
data1(:,:,:,:,subj_num_count) = data(eeg_channels,floor(0.5*srate)+1:floor(0.5*srate+latencyDelay)+dataLength,target_order,:); % SSVEP
subj_num_count=subj_num_count+1;
end
toc
disp('loading the data ... finished');
subj_num_count=subj_num_count-1;
fs = srate/2;
%notch
Fo = 50;
Q = 35;
BW = (Fo/(srate/2))/Q;
[notchB,notchA] = iircomb(srate/Fo,BW,'notch');
%bandpass filter
for k=1:numOfSubband
Wp = [(8*k)/fs 90/fs];
Ws = [(8*k-2)/fs 100/fs];
[N,Wn] = cheb1ord(Wp,Ws,3,40);
[subband(k).bpB,subband(k).bpA] = cheby1(N,0.5,Wn);
end
sub=[1:subj_num_count];
for i = length(frequencySet):-1:1
testFres = frequencySet(i) * (1:multiplicateTime)';
t = 0:1/srate:3-1/srate;
targetTemplateSet{i} = [cos( 2 * pi * testFres * t +phaseSet(i)* (1:multiplicateTime)');...
sin( 2 * pi * testFres * t+phaseSet(i)* (1:multiplicateTime)')];
online_learn_Y(:,:,i)=targetTemplateSet{i};
end
tic
for nsub = 1:subj_num_count
% SSVEP data
ct=1;
for nblock = 1:length(blocknum)
for ncond = 1:length(condition)
for nchan = 1:length(eeg_channels)
tmp0 = data1(nchan,:,ncond,nblock,nsub);
tmp1 = filtfilt(notchB, notchA, tmp0); %notch
for k=1:numOfSubband
tmp2=filtfilt(subband(k).bpB,subband(k).bpA,tmp1);
ssvep0 = tmp2(latencyDelay+1:latencyDelay+dataLength);
ssvepdata(nchan,:,ncond,nblock,nsub,k) = ssvep0;%bandpass
ssvepdata_stream(nchan,:,ct,nsub,k) = ssvep0;%bandpass
ssvepdata_stream_label(ct) = ncond;%bandpass
end
end
ct=ct+1;
end
end
for k=1:numOfSubband
ssveptemplate(:,:,:,nsub,k)=mean(ssvepdata(:,:,:,:,nsub,k),4);
end
disp(['Subj.' num2str(nsub)]);
end
toc
disp('Preprocessing the data ... finished');
% 10-repetitions (10 random orders for the trials)
for cv=1:10
% SSVEP data stream
% the trial order is random
num_of_labels=length(target_order)*length(blocknum);
rand_data_idx=randperm(num_of_labels);
ssvepdata_stream_label=ssvepdata_stream_label(rand_data_idx);
ssvepdata_stream = ssvepdata_stream(:,:,rand_data_idx,:,:);
%% Calculate the OACCA accuracy (simulated online scenario)
fb_coef=[1:numOfSubband].^(-1.25)+0.25;
for tw_no=1:length(tw_length)
tic
tw=tw_length(tw_no);
for nsub = 1:length(sub)
n_correct1=0;
n_correct2=0;
n_correct3=0;
n_correct4=0;n_correct5=0;n_correct6=0;
covar_mat=zeros(length(eeg_channels),length(eeg_channels),3,numOfSubband);
isChange2=zeros(1,3);
Cxx=zeros(length(eeg_channels),length(eeg_channels),3,numOfSubband);
isChange=zeros(1,3);
Cxy=zeros(length(eeg_channels),2*multiplicateTime,3,numOfSubband);
for trial=1:num_of_labels
sig_len=tw;
for k=1:numOfSubband
test_signal{k}=ssvepdata_stream(:,1:sig_len,trial,nsub,k);
test_signal{k}=test_signal{k}-mean(test_signal{k},2)*ones(1,length(test_signal{k}));
test_signal{k}=test_signal{k}./(std(test_signal{k}')'*ones(1,length(test_signal{k})));
for i = length(frequencySet):-1:1
ref=targetTemplateSet{i}(:,1:sig_len);
[A1,B1,r]=canoncorr(test_signal{k}',ref');
cca_sfx(:,i,k)=[A1(:,1)];
cca_sfy(:,i,k)=[B1(:,1)];
cca_r=r(1);
if (isChange(1)==1) && (isChange(2)==1) && (isChange(3)==1)
r0=corrcoef((OWx{k}(:,i)'*test_signal{k})',(OWy{k}(:,i)'*ref)');r2=r0(1,2);
else
r2=0;
end
if (isChange2(1)==1) && (isChange2(2)==1) && (isChange2(3)==1)
[~,~,r]=canoncorr((prototype_sfx{k}(:,i)'*test_signal{k})',ref');r3=r(1);
else
r3=0;
end
rho6(k,i)=r2(1)+r3(1)+cca_r; % OACCA
rho5(k,i)=r3(1)+cca_r; % CCA+PSF
rho4(k,i)=r2(1)+cca_r; % CCA+OMSCCA
rho3(k,i)=r3(1); % PSF
rho2(k,i)=r2(1); % OMSCCA
rho1(k,i)=cca_r; % CCA
end
end
r1=sum((rho1).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result1]=max(r1);
r1=sum((rho6).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result6]=max(r1);
r1=sum((rho5).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result5]=max(r1);
result2=result5;
result3=result1;
%% Update the parameters
eig_idx{1}=[1:40];
for k=1:numOfSubband
if result1==result6
sf1x=[cca_sfx(:,result3,k)'];
sf1y=[cca_sfy(:,result3,k)'];
sf1x=sf1x/norm(sf1x);
sf1y=sf1y/norm(sf1y);
isChange2(1)=1;
covar_mat(:,:,1,k)=covar_mat(:,:,1,k)+[sf1x]'*[sf1x];
n_cov=1;
isChange2(3)=1;
isChange2(2)=1;
[V, D] = eig(covar_mat(:,:,n_cov,k));
[~, loc] = max(diag(D));
u1=V(1:length(eeg_channels), loc);
prototype_sfx{k}(:,eig_idx{n_cov}) = repmat(u1,1,length(eig_idx{n_cov}));
end
filteredData = test_signal{k};
sinTemplate = targetTemplateSet{result2}(:,1:sig_len);
CCyy=eye(size(sinTemplate,1));
isChange(1)=1;
Cxx(:,:,1,k)=Cxx(:,:,1,k)+filteredData*filteredData';
Cxy(:,:,1,k)=Cxy(:,:,1,k)+filteredData*sinTemplate(:,1:length(filteredData))';
n_cov=1;
isChange(3)=1;
isChange(2)=1;
CCyx=(Cxy(:,:,n_cov,k)).';
CCxx=Cxx(:,:,n_cov,k);
CCxy=Cxy(:,:,n_cov,k);
A=[zeros(size(CCxx)) CCxy; CCyx zeros(size(CCyy))];
B=[(CCxx) zeros(size(CCxy)); zeros(size(CCyx)) CCyy];
[eig_v1,eig_d1]=eig(A,B);
[eig_val,sort_idx]=sort(diag(eig_d1),'descend');
u1=eig_v1(1:size(CCxx,1),sort_idx(1));
v1=eig_v1(1+size(CCxx,1):end,sort_idx(1));
if u1(1)==1
u1=zeros(length(eeg_channels),1);
u1(end-2:end)=1;
end
OWx{k}(:,eig_idx{n_cov}) = repmat(u1,1,length(eig_idx{n_cov}));
OWy{k}(:,eig_idx{n_cov}) = repmat(v1,1,length(eig_idx{n_cov}));
end
if result1==ssvepdata_stream_label(trial)
n_correct1=n_correct1+1;
end
r1=sum((rho2).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result1]=max(r1);
if result1==ssvepdata_stream_label(trial)
n_correct2=n_correct2+1;
end
r1=sum((rho3).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result1]=max(r1);
if result1==ssvepdata_stream_label(trial)
n_correct3=n_correct3+1;
end
r1=sum((rho4).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result1]=max(r1);
if result1==ssvepdata_stream_label(trial)
n_correct4=n_correct4+1;
end
r1=sum((rho5).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result1]=max(r1);
if result1==ssvepdata_stream_label(trial)
n_correct5=n_correct5+1;
end
r1=sum((rho6).*(fb_coef'*ones(1,length(frequencySet))),1);
[~,result1]=max(r1);
if result1==ssvepdata_stream_label(trial)
n_correct6=n_correct6+1;
end
if trial>=1
save_data(cv).cca_iacc_online1(trial,nsub,tw_no)=n_correct1/trial;
save_data(cv).cca_iacc_online2(trial,nsub,tw_no)=n_correct2/trial;
save_data(cv).cca_iacc_online3(trial,nsub,tw_no)=n_correct3/trial;
save_data(cv).cca_iacc_online4(trial,nsub,tw_no)=n_correct4/trial;
save_data(cv).cca_iacc_online5(trial,nsub,tw_no)=n_correct5/trial;
save_data(cv).cca_iacc_online6(trial,nsub,tw_no)=n_correct6/trial;
save_data(cv).cca_iitr_online1(trial,nsub,tw_no)=itr_bci(n_correct1/trial,length(frequencySet),(tw_length(tw_no)/srate+0.5));
save_data(cv).cca_iitr_online2(trial,nsub,tw_no)=itr_bci(n_correct2/trial,length(frequencySet),(tw_length(tw_no)/srate+0.5));
save_data(cv).cca_iitr_online3(trial,nsub,tw_no)=itr_bci(n_correct3/trial,length(frequencySet),(tw_length(tw_no)/srate+0.5));
save_data(cv).cca_iitr_online4(trial,nsub,tw_no)=itr_bci(n_correct4/trial,length(frequencySet),(tw_length(tw_no)/srate+0.5));
save_data(cv).cca_iitr_online5(trial,nsub,tw_no)=itr_bci(n_correct5/trial,length(frequencySet),(tw_length(tw_no)/srate+0.5));
save_data(cv).cca_iitr_online6(trial,nsub,tw_no)=itr_bci(n_correct6/trial,length(frequencySet),(tw_length(tw_no)/srate+0.5));
end
end
cca_acc_online1(nsub,tw_no)=n_correct1/num_of_labels;
cca_acc_online2(nsub,tw_no)=n_correct2/num_of_labels;
cca_acc_online3(nsub,tw_no)=n_correct3/num_of_labels;
cca_acc_online4(nsub,tw_no)=n_correct4/num_of_labels;
cca_acc_online5(nsub,tw_no)=n_correct5/num_of_labels;
cca_acc_online6(nsub,tw_no)=n_correct6/num_of_labels;
clear ssvepdata_stream_mylabel_level ssvepdata_stream_mylabel
end
cca_itr_online1(:,tw_no)=itr_bci(cca_acc_online1(:,tw_no)',length(frequencySet),(tw_length(tw_no)/srate+0.5)*ones(1,length(sub)));
cca_itr_online2(:,tw_no)=itr_bci(cca_acc_online2(:,tw_no)',length(frequencySet),(tw_length(tw_no)/srate+0.5)*ones(1,length(sub)));
cca_itr_online3(:,tw_no)=itr_bci(cca_acc_online3(:,tw_no)',length(frequencySet),(tw_length(tw_no)/srate+0.5)*ones(1,length(sub)));
cca_itr_online4(:,tw_no)=itr_bci(cca_acc_online4(:,tw_no)',length(frequencySet),(tw_length(tw_no)/srate+0.5)*ones(1,length(sub)));
cca_itr_online5(:,tw_no)=itr_bci(cca_acc_online5(:,tw_no)',length(frequencySet),(tw_length(tw_no)/srate+0.5)*ones(1,length(sub)));
cca_itr_online6(:,tw_no)=itr_bci(cca_acc_online6(:,tw_no)',length(frequencySet),(tw_length(tw_no)/srate+0.5)*ones(1,length(sub)));
toc
disp(tw_length(tw_no))
mean([cca_itr_online1(:,tw_no) cca_itr_online2(:,tw_no) ...
cca_itr_online3(:,tw_no) cca_itr_online4(:,tw_no) ...
cca_itr_online5(:,tw_no) cca_itr_online6(:,tw_no)],1)
end
disp(cv)
save(str_save,'save_data','filename','tw_length');
end