void icaTransform(double** X, int rows, int cols, int comp, double **S,
double** K, double** W) {
double **A;
FILE * OutputFile;
int i, j;
A = mat_create(comp, comp);
//thuc hien ICA
fastICA(X, rows, cols, comp, K, W, A, S);
puts(">>>>>>>>>>...run ica complete.");
//In cac thanh phan doc lap
FILE * file = fopen("/home/truongnh/eeg-lab411/SignalProcessing/RemoveEyeblink/Data/outICA.txt", "w+");
for(i=0; i<rows; i++) {
for(j=0; j<cols; j++) {
fprintf(file, "%lf\t", S[i][j]);
}
fprintf(file, "\n");
}
fclose(file);
/*
//in cac thanh phan doc lap ra
for (j = 0; j < comp; j++) {
if(j==0)
OutputFile = fopen("/storage/sdcard0/NickGun/EEG/Liec-len-xuong/DataICA", "wb");
else
OutputFile = fopen("/storage/sdcard0/NickGun/EEG/Liec-len-xuong/DataICA", "at");
fprintf(OutputFile, "********************Comp %i\n", j);
for (i = 0; i < rows; i++) {
fprintf(OutputFile, "%f\n", S[i][j]);
}
fclose(OutputFile);
}*/
mat_delete(A, comp, comp);
}
int ProcessData(){
int i, j, ii;
int comp = 14; //so thanh phan doc lap
//khai bao matrix X la ma tran dung de luu eegData doc tu file Edf
mat X;
int rows_X, cols_X;//so hang, cot cua ma tran
mat K, W, A, S;
double *Af3; //du lieu kenh AF3
double *EyeBlink;//dang tin hieu eyeblink
double *Component;
double *Comp_Wavelet;
double Mean_X, Mean_Y, S_X, S_Y, Denom, Cr_Correlate;
FILE *FileOut;
X = mat_create(SAMPLE_MAX, CHANNEL_NUMBER);//cap phat bo nho cho X
/**
* READ DATA
*/
printf("\nStart read EEG data..........\n");
rows_X = readData(X);//goi ham doc file edf, luu du lieu vao ma tran X
cols_X = CHANNEL_NUMBER;
rows_X = 128;
//END READ DATA
/**
* RUN ICA
*/
printf("\nStart run ICA..........\n");
//cap phat vung nho cho cac matrix
W = mat_create(comp, comp);
A = mat_create(comp, comp);
K = mat_create(cols_X, comp);
S = mat_create(rows_X, comp);
fastICA(X, rows_X, cols_X, comp, K, W, A, S);//run ICA, matrix output: S
#ifdef DEBUG
//kiem tra xem matrix S thu ve co dung khong
FileOut = fopen("/home/nick_gun/Desktop/Lab-2013/SAMSUNG_2013_2014/Code/EEGProject/Debug/ICA_Out.txt", "wb");
for(i=0; i<rows_X; i++){
for(j=0;j<1;j++)
fprintf(FileOut, "%f ", S[i][3]);
fprintf(FileOut, "\n");
}
fclose(FileOut);
#endif
//END RUN ICA
/**
* RUN WAVELET
* Compute Wavelet and Recontruction Detail/Aprroximation
* with AF3(for recontruction eyeblink) and each component(ICA)
* Then use Cross Correlation for Detect EyeBlink Component
*
* Ref: http://paulbourke.net/miscellaneous/correlate/
*/
printf("\nStart run Wavelet..........\n");
//1.RUN WAVELET FOR FA3
//copy du lieu sang Af3
Af3 = malloc(SAMPLE*sizeof(double));
for(i=0;i<SAMPLE;i++)
Af3[i]=X[i][5];
//chay wavelet daub4 cho Af3 va tai tao tin hieu eyeblink
EyeBlink = reWavelet(SAMPLE, 32, 64, Af3);
//compute mean of EyeBlink and absolute EyeBlink
S_X=0; Mean_X=0;
for(i=0;i<SAMPLE;i++){
//if(EyeBlink[i]<0) EyeBlink[i]=-EyeBlink[i];
Mean_X+=EyeBlink[i];
}
Mean_X=Mean_X/SAMPLE;
for(i=0;i<SAMPLE;i++)
S_X+=(EyeBlink[i]-Mean_X)*(EyeBlink[i]-Mean_X);
#ifdef DEBUG
//print eyeblink
FileOut = fopen("/home/nick_gun/Desktop/Lab-2013/SAMSUNG_2013_2014/Code/EEGProject/Debug/Eyeblink.txt", "wb");
for(i=0; i<SAMPLE; i++)
fprintf(FileOut, "%f\n", EyeBlink[i]);
fclose(FileOut);
#endif
//2.RUN WAVELET FOR COMPONENT ICA
Comp_Wavelet = malloc(SAMPLE*sizeof(double));
Component = malloc(SAMPLE*sizeof(double));
//loop load one of all channel
for(ii=0;ii<comp;ii++){
//2.1.COMPUTE WAVELET FOR EACH COMPONENT
for(j=0;j<SAMPLE;j++)
Component[j]=S[j][ii];
Comp_Wavelet = reWavelet(SAMPLE, 16, 32, Component);
#ifdef DEBUG
if(ii==0) FileOut = fopen("/home/nick_gun/Desktop/Lab-2013/SAMSUNG_2013_2014/Code/EEGProject/Debug/Comp_Wavelet.txt", "wb");
else FileOut = fopen("/home/nick_gun/Desktop/Lab-2013/SAMSUNG_2013_2014/Code/EEGProject/Debug/Comp_Wavelet.txt", "at");
fprintf(FileOut, "Comp_Wavelet %d ***************\n", ii);
for(j=0; j<SAMPLE; j++){
//if(Comp_Wavelet[j]<0) Comp_Wavelet[j]=-Comp_Wavelet[j];
fprintf(FileOut, "%f\n", Comp_Wavelet[j]);
}
fclose(FileOut);
#endif
//2.2.COMPUTE WITH EYEBLINK USE CROSS CORRELATION
//compute mean and absolute Component
S_Y=0; Mean_Y=0;
for(j=0;j<SAMPLE;j++){
//if(Comp_Wavelet[j]<0) Comp_Wavelet[j]=-Comp_Wavelet[j];
Mean_Y+=Comp_Wavelet[j];
}
Mean_Y=Mean_Y/SAMPLE;
for(j=0;j<SAMPLE;j++)
S_Y+=(Comp_Wavelet[j]-Mean_Y)*(Comp_Wavelet[j]-Mean_Y);
Denom = sqrt(S_X*S_Y);
//compute cross correlate at delay = 0
Cr_Correlate=0;
for(j=0;j<SAMPLE;j++){
Cr_Correlate+=EyeBlink[j]*Comp_Wavelet[j];
}
Cr_Correlate=Cr_Correlate/Denom;
printf("==%d===%f===\n",ii, Cr_Correlate);
}
//END RUN WAVELET
free(Af3);
free(EyeBlink);
free(Component);
free(Comp_Wavelet);
mat_delete(X, SAMPLE_MAX, CHANNEL_NUMBER);//giai phong ma tran X
mat_delete(W, comp, comp);
mat_delete(A, comp, comp);
mat_delete(K, cols_X, comp);
mat_delete(S, rows_X, comp);
return rows_X;
}
