Back in 2009 we published a paper titled “Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics“. In a nutshell, we found the oxy- and deoxy-Hb are negatively correlated when noise level is low. When noise level increases, their correlation becomes more and more positive.
Based on this phenomenon we can check the noise level of a channel using the correlation. Below is the script. You simply input the hbo and hbr data (both matrix), and the output is the bad channels.
function badChannels = checkDataQuality(hbo,hbr)
% function badChannels = checkDataQuality(hbo,hbr)
% Check data quality using correlation between hbo and hbr as indicator
% if the correlation is strictly -1, then bad channel
% if the correlation is > 0.5, then bad channel
% Input: hbo and hbr are NxM matrix, N is number of scan, and M number of
% channels
% output: array of bad channels
%
% Xu Cui
% 2009/11/25
n = size(hbo,2);
for ii=1:n
tmp = corrcoef(hbo(:,ii), hbr(:,ii));
c(ii) = tmp(2);
end
pos = find(c==-1);
if ~isempty(pos)
disp(['Channels with -1 correlation: ' num2str(pos)])
end
pos2 = find(c>0.5);
if ~isempty(pos2)
disp(['Channels with >0.5 correlation: ' num2str(pos2)])
end
badChannels = [pos pos2];
一段较好的数据如下:
参考文献:Cui, X., Bray, S., & Reiss, A. L. (2010). Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage, 49(4), 3039-3046.
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