# EEG Motor Imagery — Test Project Configuration
#
# Data size: ~35,000 rows x 6 columns (synthetic)
# Download: python dev/test-datasets/download.py --dataset eeg
#
# Project name:
eeg-motor-imagery

# Data path:
/home/mrichardson/Projects/Urika/dev/test-datasets/eeg/data

# Description:
EEG motor imagery data from a brain-computer interface experiment. 10 participants performed
left-hand and right-hand motor imagery tasks while 7-channel EEG was recorded at 250 Hz.
Each trial is a 1-second epoch time-locked to a visual cue. The goal is to classify which
hand the participant imagined moving based on the EEG signal patterns, particularly
lateralised mu-rhythm desynchronisation over motor cortex (channels C3 and C4).

# Research question:
Can motor imagery (left vs right hand) be classified from EEG spectral features, and which
channels and frequency bands are most discriminative?

# Mode:
pipeline

# Web search:
no

# Venv:
no

# Knowledge suggestions:
Add the data-description.md from dev/test-datasets/eeg/knowledge/. Optionally add references
on mu-rhythm desynchronisation, common spatial patterns (CSP), or BCI classification methods.
