lwh-scut / BrainFusionLinks
BrainFusion is an open-source Python platform for analyzing multimodal physiological signals (EEG, EMG, ECG, fNIRS). It offers preprocessing, feature extraction, and physiological signal coupling analysis, supporting neurovascular coupling, brain‒heart interactions, and other brain‒body analyses. BIDS-compliant and extensible for custom function…
☆25Updated 3 months ago
Alternatives and similar repositories for BrainFusion
Users that are interested in BrainFusion are comparing it to the libraries listed below
Sorting:
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆63Updated 7 months ago
- code for LMDA☆84Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆61Updated 2 years ago
- Pytorch implementation of EEGNet.☆48Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆56Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 9 months ago
- ☆20Updated 2 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆18Updated 5 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- ☆83Updated 4 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 2 months ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 3 years ago
- ☆21Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆78Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- ☆37Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆83Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆67Updated last year
- A list of papers for sleep stages classification using machine learning/deep learning.☆93Updated 3 years ago