CaydenPierce / fNIRS-EEG-Server
Live stream and plot fNIRS from Blueberry glasses and EEG from InterAxon Muse (https://blueberryx.com/ and https://choosemuse.com/)
☆10Updated last year
Alternatives and similar repositories for fNIRS-EEG-Server:
Users that are interested in fNIRS-EEG-Server are comparing it to the libraries listed below
- A tutorial for making an extra electrode for the 2016 Muse EEG headset☆15Updated 6 years ago
- Python interface to the Lab Streaming Layer☆69Updated 7 years ago
- Simulation and Neuroscience Application Platform☆31Updated 11 years ago
- A small script that split differents signals from muse vía OSC☆24Updated 5 years ago
- Python API for Mentalab biosignal aquisition devices☆47Updated last week
- A framework for real-time brain signal streaming with MNE-Python.☆67Updated this week
- Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse☆182Updated last year
- Framework for building a closed loop neurofeedback system.☆22Updated 3 years ago
- Python Brain-Computer Interface Software☆134Updated last week
- Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.☆24Updated 2 months ago
- Scripts in Matlab to run neurofeedback session☆43Updated 3 weeks ago
- A remake of the NeurotechX EEG-Notebooks for the OpenBCI headset.☆13Updated 4 years ago
- [DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time☆33Updated 6 years ago
- BCI Feedback Framework in Python☆26Updated 9 years ago
- Material for the BCI Workshop held at District 3 in May 2015 by BCI Montréal.☆89Updated 3 years ago
- Previous version of eeg-notebooks☆186Updated 10 months ago
- Eye movement and blink-related EEG and MEG artifact correction algorithms☆25Updated 4 years ago
- Windows 10 app to stream data from Muse EEG headsets via LSL (Lab Streaming Layer).☆207Updated last year
- Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.☆43Updated 6 years ago
- Use LabStreamingLayer to handle triggers with PsychoPy.☆23Updated 3 years ago
- Deep Learning EEG Playground☆74Updated 8 months ago
- A collection of common utilities for building a Muse Android app.☆19Updated 7 years ago
- Welcome to Neurotech@Berkeley's Software Division! This repository serves as an introduction to using the Muse headset to analyze EEG dat…☆12Updated 2 years ago
- EEG decoding for an ultra low cost, real time BCI device based on the Espressif ESP32 running MicroPython.☆26Updated 2 years ago
- Trying to read brain waves using the Muse 2 EEG headset.☆28Updated 3 years ago
- Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset☆61Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆72Updated 11 months ago
- Real-time visualization of streaming data☆29Updated 2 months ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆30Updated 4 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆61Updated 4 years ago