schwabedal2018

Model inspired by the article "Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning". Implemented using Keras. Adapted to use minimum 2 channels and to not score artifact epochs.

A toolbox for sleep data processing, visualization and analysis. Tools for state of the art automatic sleep stages scoring.

Paul Bouchequet

rsleep

Analysis of Sleep Data

schwabedal2018 function

<dl><dt>channels</dt>
<dd>Number of channels in each input.</dd>
<dt>samples</dt>
<dd>Number of samples in each channel.</dd></dl>

Arguments

Automated Classification of Sleep Stages in Mice with Deep Learning model implementation in Keras. — schwabedal2018

<dl>

<dt>channels</dt>
<dd>Number of channels in each input.</dd>


<dt>samples</dt>
<dd>Number of samples in each channel.</dd>

</dl>

schwabedal2018: Automated Classification of Sleep Stages in Mice with Deep Learning model implementation in Keras.

Description

Usage

Value

Arguments

References