eeg-signals 开源项目推荐（428 个）

pieeg-club /EEGwithRaspberryPI

不支持。使用 Shield PiEEG 和 RaspberryPi 在 C 库中测量 8 个 EEG 通道

pieeg-club /ironbci

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

raphaelvallat /yasa

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

neurotech-berkeley /neurotech-course

CS198-96: Intro to Neurotechnology @ UC Berkeley

SuperBruceJia /EEG-Motor-Imagery-Classification-CNNs-TensorFlow

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

MikeWangWZHL /EEG-To-Text

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

neerajwagh /eeg-gcnn

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.

amrzhd /EEGNet

该项目的重点是基于EEGNet架构和Pytorch库实现CNN模型，用于使用脑电数据对运动图像任务进行分类。

ufvceiec /EEGRAPH

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

craddm /eegUtils

An R package for processing and plotting of electroencephalography (EEG) data

wjq-learning /EEGMamba

[Neural Networks 2025] EEGMamba: An EEG Foundation Model with Mamba

eegdash /EEGDash

EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch

amrzhd /EEG-MSCNN

该项目探讨了多尺度CNN对脑机接口（BCI）系统中脑电信号分类的影响。通过比较EEGNet和MSTNN两个模型的性能，该研究展示了更丰富的时间特征提取如何增强CNN模型对脑电信号进行分类

nikk-nikaznan /SSVEP-Neural-Generative-Models

配合我们国际神经网络联合会议（IJCNN）论文《模拟脑信号：通过基于神经的生成模型创建合成脑电图以改进SSVEP分类》的代码

MultiScale-BCI /IV-2a

该项目在 GitHub 上没有填写描述

dolphin-in-a-coma /multi-task-cnn-eeg-emotion

Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

duanyiqun /DS-DDPM

Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals

AliAmini93 /ADHDeepNet

ADHDeepNet 是一个集成时间和空间特征、注意力模块及可解释性技术的模型，针对 ADAD 诊断的脑电数据进行了优化。还整合了神经架构搜索（NAS）、超参数优化和数据增强，以提升模型的性能和准确性。

Amir-Hofo /EEGNet

该代码利用PyTorch实现了EEG Net深度学习模型。EEG Net模型基于题为《EEGNet：用于基于脑电图的脑机接口的紧凑卷积神经网络》的研究论文。

Mentalab-hub /explorepy

Python API for Mentalab biosignal aquisition devices