A package for sleep stage classification using ECG data

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  • License: BSD License (BSD 3-Clause License)
  • Author: Florian Hofer
  • Maintainer: Clemens Brunner
  • Tags sleep, ecg, qrs, peak
  • Requires: Python >=3.7
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Project description

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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

Verified details

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  • License: BSD License (BSD 3-Clause License)
  • Author: Florian Hofer
  • Maintainer: Clemens Brunner
  • Tags sleep, ecg, qrs, peak
  • Requires: Python >=3.7
Classifiers

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0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

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0.4.1

0.4.0

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0.2.0

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