Spectral analysis of ECG signals for pre-diagnosis of heart diseases

In this thesis we used the three cases for diagnosis of the heart attacks. The first case is healthy persons, second case is non healthy persons and the last one is unknown persons. For detection of them we used the correlation and auto correlation between the cases. For the simulation results we used the MATLAB programming languages. For diagnosis we used two statistical method. The first one is to take only one dice (assuming that this selected dice is a perfect representative of the remaining dice) and throw it many times (multiplying the time axis, to get time average). The second is to throw all dice or some of the dice at the same time (multiplying the event axis, to get ensemble average). The question is how many times should the experiment be repeated along time axis in the first case and how many dice thrown at a time in the second case so that we arrive at a result well approximated to the ones to get a result within 98 % confidence interval the minimum number that an experiment should be performed