Multiple Functions for EEG Independent Component Analysis
A collection of functions for performing EEG independent component analysis, designed for direct implementation with minimal programming requirements
MATLAB Implementation for Approximate Entropy Calculation in EEG Signal Analysis
A MATLAB program for calculating approximate entropy, designed specifically for EEG signal analysis. This implementation provides a computational framework to quantify signal complexity and extract meaningful patterns from brainwave data. The code serves as a reference implementation and includes parameter configurations for window size and delay time optimization. Users are encouraged to provide feedback for potential improvements.
EEG (Electroencephalogram) as a Bioelectrical Signal Reflecting Brain Activity
EEG (Electroencephalogram) is a bioelectrical signal that reflects brain activity. Due to its high time-varying sensitivity, EEG signals are highly susceptible to external interference during acquisition. Physiological activities such as eye movements, blinking, electrocardiogram (ECG), and electromyogram (EMG) can introduce noise (artifacts) into genuine EEG signals. This noise significantly complicates the analysis and processing of EEG data. Researchers have proposed numerous methods ranging from artifact removal techniques in EEG to noise elimination effect evaluation. This paper presents a MATLAB-based implementation for subtracting various EEG signal artifacts using algorithmic approaches.
EEG Signal Decomposition into 5 Sub-bands Using Wavelet Transform
Implementation of EEG signal decomposition into five frequency sub-bands using wavelet transform analysis with MATLAB code examples
MATLAB Algorithm for EEG Feature Extraction
MATLAB Implementation for Electroencephalogram (EEG) Feature Extraction and Signal Processing
EEGLAB for EEG Analysis: An Open-Source Toolkit for Advanced Signal Processing
Comprehensive Overview of EEGLAB for EEG Analysis: Event-Based Processing, Spectral Analysis, Independent Component Analysis, Source Localization, and Time-Frequency Analysis with Multi-Format Support and Community Resources
EEG Topographic Mapping
EEG topographic mapping for processing EEG data in MATLAB, including implementation approaches for visualizing brain activity distributions.
EEG-Based Control System for Maze Object Navigation
This main program utilizes electroencephalogram (EEG) signal analysis to control object movement within a maze environment, with the maze design implemented using MATLAB
EEG Signal Processing Workflow
EEG Signal Processing Pipeline and Implementation Approaches
Removing 50Hz Power Line Interference from EEG Signals Using Adaptive Filtering
Implementing adaptive filtering techniques to eliminate 50Hz power line interference during EEG signal acquisition with code implementation insights