#计算机科学#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
翻译 - 脑机接口，ADS1299 和 STM32
Variational mode decomposition (VMD) in Python
#计算机科学#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 R package for processing and plotting of electroencephalography (EEG) data
#计算机科学#A Python library for signal decomposition algorithms
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 mode...
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
Analyze and manipulate EEG data using PyEEGLab.
#计算机科学#EEG-Based Emotion Recognition
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
A set of tools to analyze and create charts from Muse EEG devices.
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
An open source tool for large-scale EEG datasets processing
Machine learning for Anonymous detection of an alcoholic by EEG signals