akaraspt/deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Combines convolutional and LSTM layers to extract temporal dependencies from raw EEG signals, with interpretable cells that track sleep state transitions. Implements 20-fold cross-validation on MASS and Sleep-EDF datasets, integrating with TensorFlow/TensorLayer for training and optional MongoDB/eAE cluster support for distributed jobs.
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477
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161
Language
Python
License
Apache-2.0
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Last pushed
Jul 19, 2024
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