Huai-qIu-tec / undergraduate_design_motorimagery_classificationLinks
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
☆33Updated 2 years ago
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
Sorting:
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆47Updated 4 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆49Updated 2 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☆27Updated 2 years ago
- ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures☆16Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 3 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆189Updated 6 months ago
- ☆23Updated 2 years ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆246Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 5 years ago
- ☆21Updated 2 years ago
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆17Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆120Updated 2 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…☆12Updated 2 years ago
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆24Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆137Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆74Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆39Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆141Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆20Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆59Updated 2 years ago
- code for LMDA☆85Updated 2 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆82Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆142Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆290Updated 2 months ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆257Updated 2 years ago
- Emotion-Classification-by-EEG-DEAP-Dataset implemented in 2DCNNN-LSTM-1DCNN+GRU and the 1D_cnn+gru model gives the highest accuracy☆11Updated 2 years ago