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Sleep EEG preprocessing and analysis

Project description

sleep-eeg-processing

sleepeeg is a high-level API built on top of mne-python for preprocessing and analysis of sleep EEG data.

Installation

  1. Make sure you have Python installed.
    • The script was tested with the version 3.10.9
    • Python 3.11.x currently isn't supported because of the yasa's dependency on the numba library.
  2. Create a python environment
  3. Activate the environment
  4. pip install sleepeeg
    
  5. (Optional, but recommended) Download notebooks.
  6. (Optional, but recommended) Prepare GPU acceleration by installing CUDA and CuPy.
  7. (Optional) For OpenGL acceleration of MNE plot install pyopengl and use plot(use_opengl=True).

Quickstart

  1. Open any of the downloaded notebooks using the created environment.
  2. Follow the notebook's instructions.

Project details


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sleepeeg-0.0.1.tar.gz (15.3 kB view hashes)

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sleepeeg-0.0.1-py3-none-any.whl (15.8 kB view hashes)

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