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-0.0.49.tar.gz (47.3 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-0.0.49-py3-none-any.whl (49.0 kB view details)

Uploaded Python 3

File details

Details for the file eeg_auto_tools-0.0.49.tar.gz.

File metadata

  • Download URL: eeg_auto_tools-0.0.49.tar.gz
  • Upload date:
  • Size: 47.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.8

File hashes

Hashes for eeg_auto_tools-0.0.49.tar.gz
Algorithm Hash digest
SHA256 a08f4f2b3fb2e442737a0770676ef51bb011991fcebac5dcd5783da5ea0b0672
MD5 0cc09113a3112cf1c43e3902e6ba0952
BLAKE2b-256 1fe3c778bcd4d2e3631626bb3f03f8c1e84a9b217380e00eedffe7f9f08f4ac8

See more details on using hashes here.

File details

Details for the file eeg_auto_tools-0.0.49-py3-none-any.whl.

File metadata

File hashes

Hashes for eeg_auto_tools-0.0.49-py3-none-any.whl
Algorithm Hash digest
SHA256 019a4ddbea8721f681c0c5ef4030e4451604b702b933428c9e7b9cde83c07641
MD5 897107a178701c20c2d482f15aedb6fd
BLAKE2b-256 dd85e615a50c0c6c3dbb597e66915093bd718278cfc6797bd64fd3755709ec34

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