YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
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Updated
Jun 25, 2024 - Python
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
Open-Source board for converting RaspberryPI to Brain-computer interface
CS198-96: Intro to Neurotechnology @ UC Berkeley
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Open-Source Brain-Computer Interface, ADS1299 and STM32
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
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
C++ library for simulation of multiscale neural field dynamics
Signal Processing Toolkit, including ML models with visualization
Python API for Mentalab biosignal aquisition devices
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
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.
[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
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.
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