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-0.0.40.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-0.0.40-py3-none-any.whl (47.7 kB view details)

Uploaded Python 3

File details

Details for the file eeg_auto_tools-0.0.40.tar.gz.

File metadata

  • Download URL: eeg_auto_tools-0.0.40.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-0.0.40.tar.gz
Algorithm Hash digest
SHA256 7b1b97722892451d3d8420d914ed3a53d126d1b6988f095a27c08059a31591d7
MD5 69094e99a51cacb0d1ab1dc11a47dbf7
BLAKE2b-256 3774db0c7827e50d063e38096b03f145e5cc84750a41b33614837a1bb83d5a05

See more details on using hashes here.

File details

Details for the file eeg_auto_tools-0.0.40-py3-none-any.whl.

File metadata

File hashes

Hashes for eeg_auto_tools-0.0.40-py3-none-any.whl
Algorithm Hash digest
SHA256 b3f260717cf1bd7538514287a9b7d4e50287fb000db746837ee91da40a11cd2c
MD5 617f0e3ff5c289e3a15a799a1f136e3c
BLAKE2b-256 31362c9cf8ce103a097365da91c935aa291680c5fd7f14fbd80dce1dace2a493

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