A general matlab framework for EEG data classification
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Updated
Aug 21, 2017 - MATLAB
A general matlab framework for EEG data classification
Towards Turnkey Brain-Computer Interfaces
maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.
Software for EEG BCI communication, along with companion IOS app.
With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.
It's a tensorflow implemention for EEGNet
Eye open and close classification using Machine Learning
In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person
Analyzing brain connectivity during sleep. Semester project - ETH Zürich - Summer 2018.
The Histogram of Gradient Orientations of EEG Signal Plots for BCI
LSTM-based neural network system to predict EEG signals
Kaggle Competition: Automatic sleep stage classification
Convolutional Neural Netowork for Independent Component Classificaiton
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.
tutorial and practice of EEG (Electroencephalogram) analysis, filtering, data I/O via MNE-Python (Minimum Norm Estimation)
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