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SleepECG

SleepECG provides tools for sleep stage classification when EEG signals are not available. Based only on ECG, SleepECG provides functions for

  • downloading and reading open polysomnography datasets,
  • detecting heartbeats from ECG signals, and
  • classifying sleep stages (which includes preprocessing, feature extraction, and classification).

Documentation

Documentation for SleepECG is available on Read the Docs.

Changelog

Check out the changelog to learn what we added, changed, or fixed.

Installation

SleepECG is available on PyPI and can be installed with pip:

pip install sleepecg

SleepECG with all optional dependencies can be installed with the following command:

pip install "sleepecg[full]"

If you want the latest development version, use the following command:

pip install git+https://github.com/cbrnr/sleepecg

Contributing

The contributing guide contains detailed instructions on how to contribute to SleepECG.