Brain Computer Interface controlled Training & Game
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Updated
Feb 14, 2017 - Python
Brain Computer Interface controlled Training & Game
Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge
EEG Features to be extract from raw data.
EEG & deep learning project to detect blinking eyes
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.
EEG spectrum mean of 84 records
Draw periodogram of real EEG data
WAG/Rij-rat spectrogram
Method for comparing 'dissimilarity' between two datasets
Function to calculate consistency of phase at a given frequency across measurements
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
Tool for adapting EMBLA EEG files for BIDS, and converting to EDF+ or BrainVision format
Brain-Computer Interface for speech and motor impediments
Analyze and manipulate EEG data using PyEEGLab.
Machine learning for Anonymous detection of an alcoholic by EEG signals
A user interface for cloud based medical image storage
Python code for decoding EEG motor imagery conditions using a convolutional neural network.
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