BipolarExplorerMNE

A simple Python package built on top of MNE-Python to visualize bipolar montages of non-EEG signals (e.g., ECG, EMG, EOG) from .EDF or .EEG files, even when channel names are inconsistent or messy.

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🚀 Motivation

Working with physiological recordings from hospital systems often means dealing with inconsistently named or misconfigured channels. While EEG data typically follows the 10-20 naming convention, ECG and other physiological signals often don't — you'll find channel names like:

• ECG-, ECG+
• E, Ecg
• -0, Ecg
• ...and other unpredictable combinations.

On top of that, electrode placement can sometimes be reversed, making interpretation more difficult.

This package helps quickly visualize possible bipolar combinations between selected channels, so you can identify useful signals and confirm polarity before moving on to analysis.

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📦 Features

• Load .EDF or .EEG files using MNE
• Visualize bipolar signals from non-EEG channels
• Interactive (plotly) plots to scroll and inspect signals
• Designed for manual exploration and verification

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🔧 Installation

You can install the package via pip (if uploaded to PyPI) or directly from GitHub:

pip install bipolar-explorer-mne

or

pip install git+https://github.com/anascacais/BipolarExplorerMNE.git

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Usage

from bipolar_explorer_mne.bipolar_explorer import BipolarExplorer

# Load the data
explorer = BipolarExplorer(filepath='test_file.edf')

# Optional: list all available channels
explorer.list_channels()

# Open the UI
bipolar_config, id = explorer.explore(extra_ui_info=['id'])

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Notes

• This tool is primarily meant for channel exploration, not as an automated pipeline.
• You should still verify the actual electrode placements and channel meaning based on metadata or clinical notes when available.
• It assumes you have MNE installed and working in your environment.