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@ -196,7 +196,7 @@ Noise suppression was performed on the existing ECG data. A three-stage noise re
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How the noise reduction was performed in detail can be seen in the following notebook: [noise_reduction.ipynb](notebooks/noise_reduction.ipynb)
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How the noise reduction was performed in detail can be seen in the following notebook: [noise_reduction.ipynb](notebooks/noise_reduction.ipynb)
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### Features
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### Features
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The detection ability of the NeuroKit2 library is tested to detect features in the ECG dataset. Those features are important to train the model to detect the different diagnostic groups. The features are generated using the NeuroKit2 library.
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The detection ability of the NeuroKit2 library is tested to detect features in the ECG dataset. Those features are important for the training of the model in order to detect the different diagnostic groups. The features are generated using the NeuroKit2 library.
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### ML-models
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### ML-models
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