Deep learning software to decode EEG, ECG or MEG signals
Arduino EEG interface for lucid dreaming
Low Cost Electroencephalogram Based Brain-Computer-Interface
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
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
Report of a project done as a part of Neuro-inspired System Engineering course @ TUM
A Brain-Computer Interface (BCI) project for processing and classifying EEG data
We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on cutting-edge computational approach.
MATLAB pipeline for easy-to-program automated pre-processing of electroencephalogram (EEG) data using independent component analysis and statistically-robust detection of artifacts.
MedHacks 2018 Team ZZG
This repository contains Alzheimer's detection model using few-shot learning and a machine learning ensemble model. With limited samples, the few shot learning enables efficient detection and the ensemble model incorporates the advantages of multiple algorithms improving the efficiency of detection.
NeuroFit is a real-time brain waves visualizer and Alpha wave neurofeedback training app, designed to work with Open BCI EEG machine
Official Code for STRCA, FBTRCA for movement-related cortical potential in the brain-computer interface context
[Scrapped] Creating an EEG from scratch
Worked on Dr. M Roncaglia RITA electroencephalogram (EEG) brain activity dataset. Preprocessed, cleaned and transformed the brain activity data to be used for monitoring distinct brain frequencies.
Extracción de características (estadísticas y band power) de señales de EEG de habla imaginada.
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