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Deep learning based ECG heart beat classifier: Detection and classification of premature ectopic heartbeats.Signal Preprocessing, CNNs, Residual Learning, Class imbalance, Data syntehsis (SMOTE).

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DL-ECG-HB-classifier

Deep learning based ECG heart beat classifier: Detection and classification of premature ectopic heartbeats.

Key Concepts involved:

Signal Preprocessing, CNNs, Residual Learning, Class imbalance, Data syntehsis (SMOTE), K-folds Cross Validation.

Description of contents:

Kfold_ProjAAI.ipynb

  • Contains the code for training the models with the 3-fold cross validation.
  • Does not contain the code for SMOTE.

SMOTE_ProjAAI.ipynb

  • Contains the code for training the models with single fold cross validation.
  • Contains the code for SMOTE.

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Deep learning based ECG heart beat classifier: Detection and classification of premature ectopic heartbeats.Signal Preprocessing, CNNs, Residual Learning, Class imbalance, Data syntehsis (SMOTE).

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