155 results for “topic:eeg-signals-processing”
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Variational mode decomposition (VMD) in Python
A Python library for signal decomposition algorithms
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.
An R package for processing and plotting of electroencephalography (EEG) data
No description provided.
Empirical wavelet transform (EWT) in Python
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
EEG-Based Emotion Recognition
Analyze and manipulate EEG data using PyEEGLab.
An open source tool for large-scale EEG datasets processing
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
A set of tools to analyze and create charts from Muse EEG devices.
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
Machine learning for Anonymous detection of an alcoholic by EEG signals
EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate
Detection of human emotions from eeg signals using the amigos dataset
MWF-based EEG artifact removal in MATLAB
PyNoetic: A Modular Python Framework for No-Code Development of EEG Brain-Computer Interfaces
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
A MATLAB application to automatize analysis of EEG data
A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin