This repository is dedicated to the exploration and analysis of electroencephalography (EEG), a non-invasive method used to measure brain electrical activity. It includes historical data, modern applications, and detailed methodologies for EEG data preprocessing and analysis.
- Name: Hosein Dadras
- Personal Mail: hoseindadras6@gmail.com
- Academic Mail: hoseindadras@ut.ac.ir
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Introduction: Overview of EEG technology and its significance.
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Historical Milestones
- 1875: Richard Caton's Discovery
- 1924: Hans Berger's Breakthrough
- 1929: Publication of Berger’s Findings
- 1930s-1940s: Technological Advancements
- 1950s-1970s: Expanding Clinical Applications
- 1980s-Present: Digital EEG and Advanced Applications
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Significance of Berger’s Observations: Pioneering the field and identifying brain wave patterns.
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Terminology and Impact
- Brain Wave Classification
- Impact on Clinical Diagnostics
- Influence on Research Methodology
- Development of Brain-Computer Interfaces
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Modern Applications
- Clinical Diagnostics (Epilepsy, Sleep Disorders, Encephalopathies)
- Cognitive Neuroscience (ERPs, Neural Oscillations)
- Brain-Computer Interfaces (Communication, Control of Assistive Devices)
- Neurofeedback for Therapy
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Research and Innovations
- Neuroergonomics
- Virtual Reality and Augmented Reality Applications
- Neuromarketing
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Preprocessing and Experimental Setup
- Data Loading and Initial Setup with EEGLab
- Channel Location and High-Pass Filtering
- Spectral Power Analysis and Re-referencing
- Independent Component Analysis for Artifact Removal
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Event-Related Potential (ERP)
- Principle of ERP Computation
- Significance and Applications of ERPs
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Spectral Analysis
- Fundamentals and Methods
- Multitaper PSD Estimation and Baseline Normalization