Skip to main content

The set of tools for working with EEG data

Project description

EEG Auto Tools

With this package it is possible to automate routine EEG processing, ERP acquisition steps and other signal features, as well as to obtain a detailed performance report after each successive block of the pipeline has been worked out

Installation

You can install eeg-auto-tools directly from PyPI:

pip install eeg-auto-tools

Quick Start

file = "your_file_path"
raw = mne.io.read_raw(file, preload=True)

pipeline = Sequence(
    ch_selector = ChannelSelector(exclude=['ECG', 'EOG']),
    ffilter = FilterBandpass(l_freq=0.1, h_freq=40, notch_freq=50),
    montager = SetMontage('waveguard64'),
    detector = BadChannelsDetector(method="auto"),
    rerefer = Rereference(exclude='bads'),
    ica = AutoICA(),
    interp = Interpolate(),
    r2e = Raw2Epoch(tmin=-0.15, tmax=0.6),
    bed = BadEpochsDetector(apply=True),
    baseliner = BaselineEpochs(baseline=(-0.1, 0)),
    detrender = DetrendEpochs(detrend_type="linear"),
)

epochs = pipeline(raw, cash=False)

Other Info

You can visit my GitHub to read other content.

License

This project is licensed under the Apache License 2.0

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_auto_tools-0.0.39.tar.gz (46.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

eeg_auto_tools-0.0.39-py3-none-any.whl (47.7 kB view details)

Uploaded Python 3

File details

Details for the file eeg_auto_tools-0.0.39.tar.gz.

File metadata

  • Download URL: eeg_auto_tools-0.0.39.tar.gz
  • Upload date:
  • Size: 46.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.8

File hashes

Hashes for eeg_auto_tools-0.0.39.tar.gz
Algorithm Hash digest
SHA256 5ca896a272c939cf643a34a0c69eb00326cbc3850a5fa882abdec9aee38d52b4
MD5 1d4206d1d2c9a4b1ac065e21458b16ac
BLAKE2b-256 9ac68dce0df20726fd13817c3ba3a7047175e5c53e08873f11cae0c9fecc088f

See more details on using hashes here.

File details

Details for the file eeg_auto_tools-0.0.39-py3-none-any.whl.

File metadata

File hashes

Hashes for eeg_auto_tools-0.0.39-py3-none-any.whl
Algorithm Hash digest
SHA256 fa3a09a3dc6201a101477f9b631b89c24827c98b438541add2d7992213241845
MD5 5c3bb71b306ba412fc272c6d9583954e
BLAKE2b-256 d2814c6b6dcea445ee8cafebc68e735dfa044c27eade23f2171c44653c2a377f

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