ECG_signal_noise_removal

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ECG_signal_noise_removal

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ECG signal noise removal

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# ECG_signal_noise_removal
ECG signal noise removal

Sudden cardiac deaths are more than 80% caused by arrhythmias, the prevalence of which is increasing. In the process of purchasing wearable devices for recording ECG, the signals are usually contaminated with noise such as baseline drift, muscle artifact, and electrode movement. Therefore, the effective removal of noises plays a fundamental role in the accurate detection of arrhythmias. However, traditional filter methods usually focus on only one or two types of noise, and more diverse filter algorithms are needed to deal with different noises, which do not have sufficient generalization ability.
 
In this article, I used the datasets that I put in the link below
https://physionet.org/static/published-projects/ecgiddb/ecg-id-database-1.0.0.zip

And I have used the following codes in my research
https://drive.google.com/drive/folders/1DXdhHseW95trb3jMu_BDfUOH_AaoAQpD

I have used the following sources to increase information and help in writing the article
https://drive.google.com/drive/folders/1Dz4afFzcKV62Gj_O4R661pdCU5DMt57g

The percentage of similarity measurement and the use of artificial intelligence is also in the link below https://drive.google.com/drive/folders/1AW6oCvcpoZkjm0KTJAdvj3HXu8DUAGf -

orcid.org :  0009-0009-7632-6246

If you have any questions, send a message to the email below
Fatemeashrafnejad2002@gmail.com

ECG_signal_noise_removal

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