Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
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Updated
Nov 23, 2020 - Python
Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
Muse 2 EEG analysis with PyTorch + CNNs.
A Multi-Brand TouchDesigner Script CHOP for real-time EEG signal processing using Python BrainFlow package. Compatible with 15 brands and more then 33 different models. Includes Kalman filter, FFT, resampling, and OSC output. Tested with BrainBit.
EEG streaming web service (UDP) using spring boot. Device used to measures is Muse 2 (2016).
Open-Source EEG signal decoding for real time control of a 5 finger robot hand using a highly modular and reproducible pipeline based on CNN/LSTM model architecture with applications in prosthetics and general BCI research and advancement, bringing a python-based research lab to anyone with consumer grade equipment
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