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I am doing a project on ECG arrythmia analysis using matlab.

  1. I have designed notch filter for removing 50 Hz noise but don't know how to add a 50 Hz powerline interference noise to a clean ECG signal?

  2. Also, I want to check whether noise is reduced in the filtered signal. Will Power spectral density using modified welch periodogram indicate whether noise is filtered or not?

  3. How can I compare which wavelet (e.g. db6) is best suited for ECG analysis?

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I have the impression that ecg applications of wavelets should be well-described in current scientific literature, including which are the most suitable ones for ECG signals. – heltonbiker Nov 27 '12 at 15:52
I initially used a sampling frequency of 180 Hz. Is it enough? – shameer Dec 3 '12 at 18:10
With a sampling frequency of 180 Hz you can see any frequency up to 90 Hz (180 Hz / 2), so it is plenty for the noise. Whether it is enough for the ECG or not depends on the whether the highest non-trivial frequency in the ECG is less than 90 Hz or not. – Jim Clay Dec 3 '12 at 22:36

2 Answers

1) Create a 50 Hz sinusoid and then simply add it to your ECG signal. You can control the power of the 50 Hz noise by multiplying the sinusoid by some gain factor (can be less than or more than 1) before you add it to the ECG.

2) I'm not familiar with the Welch periodogram, but if it displays the power spectral density then it should do fine. I would just do an FFT myself.

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You could have a look at this paper: http://web.media.mit.edu/~dolguin/CISS05_Olguin_Bouchereau_Martinez.pdf

It also demonstrates how to artificially generate Power-line interference.

The power line noise interference is a frequency-varying sinusoidal with a center frequency of 60 Hz. In this work this interference will be modeled as

p(n) = A cos{2π[f0 + fv(n)]n + ψ} .

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