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**

License: BSD 3-Clause "New"/"Revised" License

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  • Load data and inspection, Spindle detection

    Mei
    1) load data, 2) ICA correcting data, 3) visualize data and power spectral density of data, 4) detection spindles.

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  • Spindle detection results

    Mei
    Results of slow spindles (10-12 Hz) and fast spindles (12-14 Hz)

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  • Behavioral Results

    Behavioral Results and Memory Tasks Description

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