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Nap EEG
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Description: 64 channel continuously-sampled scalp EEG data from humans napping after completing a scene working memory task. These data are being used to develop objective and automated methods for sleep stage identification and for classifying spindles and k-complexes in stage 2 NREM sleep. **Code is not maintained here since 08-2018, please visit https://github.com/nmningmei/Get_Sleep_data for updated version of the data and model**
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Citation
Components
Load data and inspection, Spindle detection
1) load data, 2) ICA correcting data, 3) visualize data and power spectral density of data, 4) detection spindles.
Spindle detection results
Results of slow spindles (10-12 Hz) and fast spindles (12-14 Hz)
Behavioral Results
Behavioral Results and Memory Tasks Description
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