YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
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Updated
Jul 4, 2024 - Python
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
CS198-96: Intro to Neurotechnology @ UC Berkeley
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
Open-Source Brain-Computer Interface, ADS1299 and STM32
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
An R package for processing and plotting of electroencephalography (EEG) data
Signal Processing Toolkit, including ML models with visualization
C++ library for simulation of multiscale neural field dynamics
Python API for Mentalab biosignal aquisition devices
Mobile Robot controlled using Neurosky Mindwave headset. This repository contains the data collection and robot control scripts developed using C#. Features of the data has been extracted using EMD and HHT formulaes.
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.
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
Supporting code for the GX Dataset
Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
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