Skip to main content

Semiautomatic framework for preprocessing EEG data

Project description

eeg-preprocessing

A semiautomatic framework for preprocessing EEG data.

Setup

Clone the repository and setup a conda environment:

$ git clone https://github.com/weiglszonja/eeg-preprocessing.git
$ conda env create -f eeg-preprocessing/make_conda_env.yml
$ source activate eeg_preprocessing

Alternatively, install into an existing environment:

$ pip install eeg_preprocessing

Usage

If you cloned the repository, there is a jupyter notebook with a pipeline setup that can be used for preprocessing data:

$ jupyter notebook notebooks/run_preprocessing.ipynb

Or you can import the methods into your own project and setup the pipeline for your own needs:

from eeg_preprocessing import preprocessing

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eeg-preprocessing-0.2.1.tar.gz (6.7 kB view details)

Uploaded Source

File details

Details for the file eeg-preprocessing-0.2.1.tar.gz.

File metadata

  • Download URL: eeg-preprocessing-0.2.1.tar.gz
  • Upload date:
  • Size: 6.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.2 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.4

File hashes

Hashes for eeg-preprocessing-0.2.1.tar.gz
Algorithm Hash digest
SHA256 837154b49fc0a5aaf1d5154ecf7667b9c0de76757aa44c42c16e7ebc35952b92
MD5 07b4c559b24fb718d6a763c8611a3689
BLAKE2b-256 febcb06f2fdefa271abee055b708d7b2654777be5a4480f2008fa12407624f6e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page