Computing 1024 FFT from noisy ecg

I am wondering how to compute a 1024 point FFT from an initial 1024 samples segment of a noisy ECG without DC component. Then, from the obtained FFT, plot the absolute value (magnitude) of the frequency spectrum of the noisy ECG (without DC component) expressing the x-axis (horizontal) in units of frequency (Hz)

[dpb]

See doc fft for example.

If the signal is noisy, unless you have recorded quite a bit so you can average, the results are likely to be near meaningless for single samples.

Answer 1

[Roshni Garnayak]

You can refer to the following link to get examples on how to remove noise from ECG signals.

https://www.mathworks.com/help/dsp/ug/removing-high-frequency-noise-from-an-ecg-signal.html

After removing noise, you can compute the 1024 FFT of the signal using the ‘fft’ function. Refer to the link below for more information on ‘fft’:

https://www.mathworks.com/help/matlab/ref/fft.html