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 for SleepECG is available on Read the Docs. Check out the changelog to learn what we added, changed, or fixed.

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

The following example detects heartbeats in a short ECG (a one-dimensional NumPy array):

import numpy as np
from sleepecg import detect_heartbeats, get_toy_ecg
ecg, fs = get_toy_ecg()  # 5 min of ECG data at 360 Hz
beats = detect_heartbeats(ecg, fs)  # indices of detected heartbeats

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