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neuropipeline
neuropipeline is a Python package designed for comprehensive analysis of neurophysiological data, specifically Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS). It provides tools for preprocessing, analysis, and visualization of both EEG and fNIRS data, streamlining your neuroimaging workflow.
Features
- Unified Interface: A consistent API for both EEG and fNIRS data processing.
- Preprocessing:
- Artifact removal (e.g., ICA, filtering).
- Data cleaning and interpolation.
- Channel/probe management.
- Analysis:
- Frequency domain analysis (e.g., power spectral density).
- Time domain analysis (e.g., event-related potentials/responses).
- Statistical analysis.
- fNIRS specific analysis (HbO, HbR, and HbT calculations)
- Visualization:
- Interactive plots for EEG and fNIRS data.
- Topographic maps.
- Time-series plots.
- fNIRS channel location visualization.
- Extensible Design: Easily add custom processing and analysis modules.
- Well-Documented: Comprehensive documentation with examples and tutorials.
Installation
pip install neuropipeline
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