Feature extraction of ECG using Wavelet Transform and classification of disease using Neural Network
予算 $30-250 USD
- Freelancer
- 仕事
- アルゴリズム
- 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 physio.net. 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.
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10人のフリーランサーが、このジョブに平均$171で入札しています
Hi, I have read description and I believe that I can do it. Please send me the link to download data.
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 もっと
-Interested Project. Pro Algorithm, Electrical Engineering, Matlab and Mathematica expert. Best result in time----- [login to view URL] I read your description very carefully. I am very interesting for your project because もっと
Hi, I read your project. I do Machine learning projects. I can do ECG data classification. we can discuss this further. thanks
Dear client I am a master of matlab and I am interested in your project. I will do my best to fulfill your request. We can talk more about project details and budget on chat. Best wishes
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'm an electrical engineer with specialty in systems, control, and signal processing. I have a solid background in mathematics and physics with the required arsenal of programming languages and problem solving techni もっと