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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).

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.