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phase-data-preprocess

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Clean and prepare your data for analysis.

Education & Research#quality control#neuroscience#data cleaning#data preprocessing#eeg#fmri
Authorstanislavjiricek
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the complex process of filtering, cleaning, epoching, and quality-checking raw neuroscientific data, ensuring it's ready for accurate analysis.

Core Features & Use Cases

  • Modality-Specific Preprocessing: Adapts cleaning steps based on data type (EEG, fMRI, ECG, etc.).
  • Reproducible Workflows: Documents all parameter choices and logs deviations from preprocessing plans.
  • Quality Control: Generates essential QC plots and rejection summaries.
  • Use Case: Prepare raw EEG data for a cognitive experiment by applying band-pass filters, epoching around stimulus markers, and rejecting trials with excessive artifacts.

Quick Start

Run the data-preprocess skill to clean the raw EEG data located in the 'raw_eeg_data/' directory.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: phase-data-preprocess
Download link: https://github.com/stanislavjiricek/neuroflow/archive/main.zip#phase-data-preprocess

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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