BRANL performs data preprocessing and statistical analysis of fNIRS data using GLM method.
GLM method provides a logical elucidation of the data. The data contains components of various factors, and the data is classified into each factor to extract the brain activation component.
[Data Pre-Processing] Digital Filter(LP,HP,BP,BS), Wavelet Denoise, tPCA, Pre-Whitening
[Statistical Cal.] GLM(4 methods)
[Measurement Channel] 2(HOT-2000/NeU), 10(WOT), 16, 17, 37, 38, 48, 57
[Device] OEG, ETG, HOT/WOT, LABNIRS, Foire, Artinis, etc.,
[output] beta-value, p-value, t-value, statistics, task related component, ROC-AUC(option)