how to normalize EKG/ ECG signal

Hello all,

I have a EKG/ ECG signal from Physionet and I'm trying to normalize the amplitude of the signal between 0 and 1. This means that the peaks of the QRS signal are going to be near the value 1, while most of the values are going to be near the baseline. I'm trying to use Pan Tompkins algorithm, and it does convert the values from 0 - 1, but only the values of the peaks, and I wanted to do it for the complete signal.

I have also tried to use "mat2gray" function, but it doens't work properly, since it's thought to be used with images and not EKG/ ECG signals.

Is there any prebuilt function in Matlab that does what I need?

Thanks in advance, Julián.

Answer 1

[Star Strider]

See if the rescale function (introduced in R2017b) will do what you want.

[Abdul Manan Dar]

try to use

for Normalising use:

x_norm = (x -min(x)) / max(x-min(x));

However, for normalisation Data should be normally distributed. For more general cases use standardisation:

x_standard = (x -mean(x))/std(x);

it will give you the z-score values between +/-3.