Using a specific wavelet transform on new ECG signals

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.omega, CWTS.meanSIG, CWTS.dt, CWTS.wav

Here are the pre / post transform plots of the data:

Pre-Transform/Raw Data

Post-Transform

Thanks for any help you guys can offer!

[farzana iqbal]

Hi, I am also working on a similar project. Would you mind sharing your model here or of you can email at [e-mail]

[Helen Nonyelu]

Hi can anyone suggest on how to denoise ecg signal using waveletneural network and also the code if possible

Answer 1

[Prateek Khandelwal]

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 .

[Thomas Fogarty III]

thanks - that seems to be what I was looking for! I'll give it a shot and see if I can make it work!