X-X-Y / EEGproLinks
对一段脑电信号进行预处理，包括工频干扰消除、基线漂移消除，对预处理后的脑电信号进行频谱分析
☆14Updated 3 years ago
Alternatives and similar repositories for EEGpro
Users that are interested in EEGpro are comparing it to the libraries listed below
Sorting:
- 脑电情绪识别☆13Updated 2 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Updated 4 years ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆46Updated 4 years ago
- 硕士期间课题研究记录☆17Updated 2 years ago
- 基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- Diploma Thesis Project on Emotion Recognition from EEG-signals☆13Updated 5 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- 基于单通道脑电信号的自动睡眠分期研究（Automatic Sleep Staging Based on EEG Signal using Deep Network）☆32Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- ☆36Updated 6 years ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆26Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆110Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- Feature selection for DEAP data☆8Updated 3 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆18Updated 2 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆14Updated 4 years ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- 使用4D切片方式，利用深度学习从时、频、空间域进行EEG情绪识别解码☆23Updated 2 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- An EEG dichotomy program file , using CSP and SVM.☆24Updated 4 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆128Updated 3 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆54Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆81Updated 4 years ago
- ☆68Updated 3 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆51Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago