YuanyuanGao216 / fNIRS_denoise_by_DLLinks
This for the project removing motion artifacts in fNIRS by deep learning. The publication on this code is 'Deep Learning-based motion artifact removal in functional near-infrared spectroscopy (fNIRS)' submitted to Neuroimage.
☆12Updated 3 years ago
Alternatives and similar repositories for fNIRS_denoise_by_DL
Users that are interested in fNIRS_denoise_by_DL are comparing it to the libraries listed below
Sorting:
- This repository includes the MATLAB codes for computing phase lag index and power spectrum density.☆11Updated last year
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆53Updated 2 years ago
- A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface☆15Updated 4 years ago
- MATLAB Project to Classify Different Sleep Stages of the EEG Signals using Machine Learning (Random Forest and Support Vector Machine)☆13Updated 10 months ago
- EEG Signal Processing - Entropy☆19Updated 5 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- A Matlab toolbox to download, extract and work with PhysioNet Sleep EDF Expanded Database☆24Updated 5 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆46Updated last year
- Real-time EEG Source-Mapping Toolbox (REST): Online ICA and Source Localization☆85Updated 8 months ago
- Here we are! The main idea is to who how we can build up a functional brain network from a EEG recording database, then visualize some ne…☆21Updated 5 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆65Updated 2 years ago
- NEURAL: a neonatal EEG feature set in Matlab☆39Updated 4 years ago
- Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification☆79Updated 9 months ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆16Updated 4 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 4 years ago
- ☆14Updated 2 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆219Updated 2 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆43Updated 6 years ago
- Deep learning model for EEG artifact removal☆79Updated 3 years ago
- BrainFusion is an open-source Python platform for analyzing multimodal physiological signals (EEG, EMG, ECG, fNIRS). It offers preprocess…☆31Updated 5 months ago
- ☆10Updated 3 years ago
- ☆72Updated 3 years ago
- This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.☆24Updated 2 months ago
- Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring …☆19Updated last year
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 4 months ago
- Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…☆22Updated 2 years ago
- NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural …☆48Updated last year
- Matlab code for SBLEST algorithm☆44Updated last year
- Matlab code for proccesing EEG signals.☆81Updated 7 years ago