nmningmei / SpindleClassification_DeepConvolutionalNeuralNets

Feature Engineering for Sleep Spindle classification

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Sleep spindles, DCNN, Classiciation, Autoencoder

Goal:

  1. DCNN models to classify sleep spindles from non spindles
  2. Look into the DCNN models' layers to identify critical features that distinguish spindle and non spindles
  3. Train an autoencoder to reconstruct spindles

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Feature Engineering for Sleep Spindle classification

License:MIT License


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Language:Jupyter Notebook 59.6%Language:Python 40.4%