How can I compare reference curve with other curves ?
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We have a reference curve of the estimated workload that randomly changes over time (based on a point assessment of the workload in every specific minute) and we need to compare it with the curves that represent the workload from the time-frequency analysis of ECG and EEG (LF/HF, PSD, . ..). Can you help me choose a suitable method for this comparison?
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Mathieu NOE
on 11 May 2023
you could use the correlation coeffiient between two data set
(used in curve fitting for example)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function R2 = my_R2_coeff(data,data_fit)
% R2 correlation coefficient computation
% The total sum of squares
sum_of_squares = sum((data-mean(data)).^2);
% The sum of squares of residuals, also called the residual sum of squares:
sum_of_squares_of_residuals = sum((data-data_fit).^2);
% definition of the coefficient of correlation (R squared) is
R2 = 1 - sum_of_squares_of_residuals/sum_of_squares;
end
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