Huai-qIu-tec / undergraduate_design_motorimagery_classification
本科毕业设计，基于Transformer的运动想象脑电信号分类，采用CNN+Transformer框架，CNN提取局部时间空间特征，Transformer提取全局依赖
☆26Updated last year
Alternatives and similar repositories for undergraduate_design_motorimagery_classification:
Users that are interested in undergraduate_design_motorimagery_classification are comparing it to the libraries listed below
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆40Updated 4 years ago
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆11Updated last year
- 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☆24Updated last year
- A CNN + LSTM architecture to predict seizure from EEG data☆41Updated last year
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆15Updated 8 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆43Updated last year
- Feature extraction for EEG signals☆28Updated 5 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 9 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆23Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆74Updated last year
- The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG data…☆12Updated last year
- ☆14Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆35Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆93Updated last year
- ACM MM 2023☆39Updated 3 months 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）☆28Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆58Updated last year
- 使用Transformer和CNN网络对脑电运动进行分类☆13Updated last year
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆29Updated 8 months ago
- code for LMDA☆70Updated last year
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 years ago
- ☆12Updated last year
- Different methods(STFT, CWT) transform EEG signal into image visualization☆12Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆45Updated last month
- ☆8Updated last year
- A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG c…☆22Updated 7 months ago
- ☆14Updated last year