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how to do ecg classifications

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Hi
i'm working on ECG Signal (Myocardial Infarction classification),i extract many feature using DWT,variance,mean.... from different Myocardial Infarction classes... what should i use on my next step to distinguish between those classes?

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Accepted Answer

Luuk van Oosten
Luuk van Oosten on 22 May 2019
Dear Khouloud Daboussi,
If you now have a big table with all your features (DWT, variance, mean, etc) and the myocardial infarction classes, you could have a look at different types of classification algorithms that MATLAB provides in the classificationLearner app. Check the related documentation and examples of the classificationLear by clicking here.
Simply type
classificationLearner
and play around with the different classification algorithms and see which ones work best on your data set.

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khouloud daboussi
khouloud daboussi on 22 May 2019
thank you, I have another question If you don't mind. I have problems with power line filtering, can you suggest any specific filter?
Luuk van Oosten
Luuk van Oosten on 22 May 2019
Do you mean this? Credits should go here in that case, cause I had to google it myself.
If you have additional questions about the power line filtering, I suggest making a new question, so it will be easier for others to find, comment, and answer on.

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More Answers (2)

khouloud daboussi
khouloud daboussi on 22 May 2019
Thanx! That could be helpful

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Gonzalo
Gonzalo on 26 Aug 2019
Edited: Gonzalo on 26 Aug 2019
you could aso look at these examples
and
which use wavelets and deep learning to segment an ECG signal or classify it from raw data directly.

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