schwabedal2018: Automated Classification of Sleep Stages in Mice with Deep...

In rsleep: Analysis of Sleep Data

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

Description

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.

Usage

schwabedal2018(channels = 2, samples = 8000)

Arguments

channels	Number of channels in each input.
samples	Number of samples in each channel.

Value

A Keras sequential model.

References

Schwabedal, Justus T. C., Daniel Sippel, Moritz D. Brandt, and Stephan Bialonski. “Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning.” ArXiv:1809.08443 [Cs, q-Bio], September 22, 2018. http://arxiv.org/abs/1809.08443.

rsleep documentation built on Nov. 6, 2023, 1:06 a.m.