How can I compare reference curve with other curves ?

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?

[John D'Errico]

What is your question about MATLAB? Why are you asking this question on a MATLAB forum?

[Richard A]

My question is about finding a suitable procedure in MATLAB for comparing two curves for this particular case.

[KSSV]

How about RMSE?

Answer 1

[Mathieu NOE]

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

[Richard A]

Do you think it will work if the curves are so different and variable over time ?

[Mathieu NOE]

let's try it !

do you have some code and data to share ?