A package for sleep stage classification using ECG data

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Project links

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Project description

Py Version

SleepECG

SleepECG provides tools for sleep stage classification when EEG signals are not available. Based only on ECG (and to a lesser extent also movement data), SleepECG provides functions for

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

Documentation

Documentation for SleepECG is available on Read the Docs.

Installation

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

pip install sleepecg

Alternatively, install via conda:

conda install -c conda-forge sleepecg

Contributing

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

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.5.8

May 21, 2024

0.5.7

Feb 8, 2024

0.5.6

Dec 22, 2023

0.5.5

Jun 1, 2023

0.5.4

Apr 13, 2023

0.5.3

Dec 5, 2022

0.5.2

Aug 2, 2022

0.5.1

Jul 21, 2022

0.5.0

Mar 22, 2022

0.4.1

Jan 14, 2022

This version

0.4.0

Jan 11, 2022

0.3.0

Aug 25, 2021

0.2.0

Aug 11, 2021

0.1.0

Jul 29, 2021

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