Computational EEG Analysis

Comprehensive workbooks for learning EEG signal processing, neuroscience fundamentals, and practical data analysis

Welcome to Your EEG Learning Journey

This course provides hands-on workbooks covering everything from Python basics to advanced EEG analysis techniques. Each module includes:

4
Modules Available
40+
Exercises
10-12
Exercises per Module
100%
Hands-on Practice

Phase 0: Foundation

Available
0

Python Bootcamp

Essential Python skills for EEG analysis

Topics Covered:

  • Python with Neuroscience Examples
  • NumPy for EEG Data
  • Pandas for Event Management
  • Matplotlib for EEG Visualization
  • Project: Multi-channel EEG Viewer

Phase 1: Core Concepts

Available
1

Signal Processing Fundamentals

Essential DSP concepts for EEG

Topics Covered:

  • Digital Signal Processing & Sampling Theory
  • Frequency Domain Analysis (FFT, PSD)
  • Digital Filtering for EEG
  • Time-Frequency Analysis (STFT, Wavelets)
  • Project: Frequency Analyzer
Available
2

Neuroscience for EEG

Brain anatomy and EEG origins

Topics Covered:

  • Functional Neuroanatomy
  • EEG Rhythms & Generators
  • 10-20 Electrode System
  • Sleep Stages & EEG
  • Project: Rhythm Detection Algorithm

Phase 2: Data Acquisition & Processing

Available
3

EEG Data Collection

Hardware and recording techniques

Topics Covered:

  • EEG Hardware Overview
  • Electrode Application & Impedance
  • Real-time Data Acquisition (LSL, BrainFlow)
  • Experimental Design for EEG
  • Video Demo: Proper Application
Coming Soon
4

Advanced EEG Processing

Artifact removal and advanced techniques

Topics Covered:

  • Artifact Detection & Removal
  • Independent Component Analysis (ICA)
  • Advanced Filtering Techniques
  • Event-Related Potentials (ERPs)
  • Source Localization Basics
🔒 Coming Soon

📊 Phase 3: Analysis & Machine Learning

Coming Soon
5

Statistical Analysis for EEG

Statistical methods and group analysis

Topics Covered:

  • Statistical Fundamentals
  • Time-Series Statistics
  • Group-Level Analysis
  • Effect Sizes & Power Analysis
  • Project: Group Comparison Tool
🔒 Coming Soon
Coming Soon
6

Machine Learning for EEG

ML and deep learning applications

Topics Covered:

  • Feature Engineering for EEG
  • Classical ML Methods
  • Deep Learning for EEG
  • Model Validation
  • Real-Time Classification
🔒 Coming Soon

🚀 Phase 4: Capstone Project

Coming Soon
7

Capstone Project

Build a complete EEG application

Project Options:

  • Sleep Quality Monitor
  • Meditation Feedback System
  • Attention Monitor for ADHD
  • Motor Imagery BCI
  • Custom Project
🔒 Coming Soon