EEG Preprocessing Pipeline Guide
CommunityBuild robust EEG preprocessing pipelines.
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
EEG preprocessing is a critical step in turning raw neural recordings into analysis-ready data. This guide provides domain-specific best practices to avoid distortion of ERP components, improper filtering, or biased ICA results.
Core Features & Use Cases
- Structured workflow guidance: detailed steps from data import to epoching and artifact management (ICA/ASR) with recommended parameters and pitfalls.
- Method selection and parameter rationale: guidance on high-pass (1 Hz for ICA vs 0.1 Hz for ERP), re-reference choices, and artifact removal strategies, plus when to interpolate.
- Use Case: A researcher planning an ERP study uses this guide to set up preprocessing pipeline and document reproducible steps.
Quick Start
Follow the step-by-step EEG preprocessing guide to set up and document your ERP pipeline.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: EEG Preprocessing Pipeline Guide Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#eeg-preprocessing-pipeline-guide Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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