ecg_cnn_ptb
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 ×
- Line Plot (JavaScript)2 ×
- Number To String2 ×
- Partitioning2 ×
- Cell Replacer1 ×
- Column Resorter1 ×
- Concatenate1 ×
- Conda Environment Propagation1 ×
- Counter Generation1 ×
- Joiner1 ×
- Keras Flatten Layer1 ×
- Keras Input Layer1 ×
- Keras Network Executor1 ×
- Keras Network Learner1 ×
- Keras Network Writer1 ×
- Many to One1 ×
- One to Many1 ×
- RowID1 ×
- SMOTE1 ×
- Scorer1 ×
- Shuffle1 ×
- Statistics1 ×
- String To Number1 ×
- Table Creator1 ×
- Transpose1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Conda Integration
- FeatureKNIME Data Generation
- FeatureKNIME Deep Learning - Keras Integration
- FeatureKNIME JavaScript Views
- Show all 6 modules
Links
- No links available