ecg_​cnn_​ptb

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This ECG dataset is provided by Physikalisch-Technische Bundesanstalt (PTB) and is available on Kaggle (https://www.kaggle.com/shayanfazeli/heartbeat). This dataset is pre-processed with beats recorded in a 10 second window and is classified as either normal (0.0) or abnormal (1.0). For more details, please read the paper at (https://arxiv.org/pdf/1805.00794.pdf).

In this workflow Conv1D Neural Network is trained for the classification task. The neural network implemented is a small version of what is described in the paper.

Read more about these workflows here: https://www.knime.com/blog/ecg-categorization-to-detect-arrhythmia

URL: Link to Kaggle Dataset https://www.kaggle.com/shayanfazeli/heartbeat
URL: Associated Research Paper https://arxiv.org/pdf/1805.00794.pdf

Nodes

• Keras Dense Layer3 ×
• CSV Reader2 ×
• Keras Batch Normalization Layer2 ×
• Keras Convolution 1D Layer2 ×
• Keras Max Pooling 1D Layer2 ×
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Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Conda Integration
• FeatureKNIME Data Generation
• FeatureKNIME Deep Learning - Keras Integration
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