Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
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Updated
Nov 12, 2024 - C
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
Working with EEGLAB and BIDS-EEG
An R package for processing and plotting of electroencephalography (EEG) data
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…
vEpiSet: An EEG dataset for interictal epileptiform discharge with spatial distribution information
BIDSAlign a library for preprocessing and align multiple datasets to a common template.
This curated list highlights the latest breakthroughs in EEG and AI integration, providing a user-friendly guide for researchers, students, and hobbyists to explore advancements and applications in this exciting field.
Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)
Projects developed during Biological Data Processing course using Python and electroencephalogram (EEG).
Supporting code for the GX Dataset
The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
CHI 2023 Late Breaking Work: "Exploring Physiological Correlates of Visual Complexity Adaptation: Insights from EDA, ECG, and EEG Data for Adaptation Evaluation in VR Adaptive Systems"
These are my exercises and projects for the computational neuroscience course.
Code for applying personalized classifier selection to EEG data
EEG and AUDIO data synchronization tool that maps aduio or other other stimuli to the eeg data based on triggers in eeg and markers in the audio
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
This repository contains the data analysis for my bachelor's degree thesis project. We used optimal transport's induced distances between probability distributions to analyze human neurophysiological data. The full thesis is available at:
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