lassestahnke / cm2013_sleep_stagingLinks
Project to predict sleep stages based on EEG, ECG, EOG data. Signals are filtered using different methods (Wavelet, Butterworth). The prediction was done using feature extraction in combination with SVM, Shallow NN and CNN.
☆12Updated 3 years ago
Alternatives and similar repositories for cm2013_sleep_staging
Users that are interested in cm2013_sleep_staging are comparing it to the libraries listed below
Sorting:
- Implementation of EEG signal classification.☆52Updated 9 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- ☆44Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Feature extraction for EEG signals☆29Updated 5 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆45Updated last year
- 基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo☆11Updated 4 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
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆47Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆25Updated 5 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆83Updated 4 years ago
- ☆36Updated 6 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆48Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆154Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- ☆21Updated 2 years ago
- DDGCNN for ssvep☆15Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 2 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆229Updated last year
- Code for BHI 2023 Paper on EEG Seizure Detection☆22Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆155Updated 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