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Using a specific wavelet transform on new ECG signals

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I'm working with ECG signals and am trying to use a wavelet technique to reduce some of the noise in various data sets. I was able to use a 'Continuous Wavelet 1-D using FFT' technique in the Wavelet Analyzer toolkit to achieve a good response (at least on one sample). I have exported the CWTFT struct to a variable called CWTS and want to apply the same wavelet function on a number of other pieces of data.
My overall goal would be to have a command or function that applies the same wavelet transform I generated to new input data.
I am somewhat of a novice in the wavelet / signal processing realm, so if there are smarter or better ways to approach this, please let me know. I tried several random wavelets and this option seemed to do the best for me.
How I generated the wavelet transformed data: 1-D/FFT -> 'dog', 6 parameter, linear analysis, linear synthesis, scale limited to first 16 options
Here are some of the details: CWTS Contents: CWTS.cfs, CWTS.scales, CWTS.frequencies,, CWTS.meanSIG, CWTS.dt, CWTS.wav
Here are the pre / post transform plots of the data:
Pre-Transform/Raw Data
Thanks for any help you guys can offer!
Helen Nonyelu
Helen Nonyelu on 14 Jul 2021
Hi can anyone suggest on how to denoise ecg signal using waveletneural network and also the code if possible

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Accepted Answer

Prateek Khandelwal
Prateek Khandelwal on 14 Mar 2017
Hi !
Wavelet Analyzer app is merely a front-end for easy accessibility to various algorithms under wavelet toolbox.
I would suggest you go through the documentation page on Generation of MATLAB code for 1-D decimated Wavelet Denoisising & Compression for basic steps that might be useful for your goal .
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Thomas Fogarty III
Thomas Fogarty III on 20 Mar 2017
thanks - that seems to be what I was looking for! I'll give it a shot and see if I can make it work!

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