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☆46Updated 4 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 4 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆14Updated 10 months 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
- A CNN + LSTM architecture to predict seizure from EEG data☆48Updated 2 years ago
- ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures☆14Updated last year
- 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
- 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
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆181Updated 3 months ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆14Updated 4 years ago
- A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG c…☆27Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 3 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆54Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆113Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆243Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆82Updated 5 years ago
- The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patien…☆17Updated 4 years ago
- Feature extraction for EEG signals☆29Updated 5 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆68Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆129Updated last year
- 硕士期间课题研究记录☆17Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆38Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆134Updated 4 years ago
- Implement Long Short-Term Memory(LSTM) with pytorch to handle raw EEG data☆26Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year