Feature extraction of ECG using Wavelet Transform and classification of disease using Neural Network

You need to download healthy person ECG data file and first degree AV block data file from You need to find P-R interval from that ECG signals. And if PR interval is longer (greater) than 0.20 seconds (200 msec), it is called person has first degree AV block disease. The PR interval is distance between P peak and Q peak of ECG signal so you need to find P and Q peaks of ECG signal using Wavelet Transform. Normally, this interval should be between 120 and 200 msec in the adult population. You need to design neural network which will classify healthy person data and person having First degree AV block data and give error graphs and Confusion Matrix.

Habilidades: Algoritmo, Engenharia Elétrica, Matlab and Mathematica

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( 1 comentário ) San Antonio, United States

ID do Projeto: #18175997

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Hi, I have read description and I believe that I can do it. Please send me the link to download data.

$155 USD in 3 dias
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Hi, there! I am interested in your project. I have extensive experience in ECG signal processing. As a developer with rich experience, I am confident about your project. I will provide perfect results in a short ti Mais

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Hi, I read your project. I do Machine learning projects. I can do ECG data classification. we can discuss this further. thanks

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