FelixLin99 / Kaggle_EDFMASDLinks
An exploration of "Kaggle-EEG data for Mental Attention State Detection". Construct a pipeline to preprocess data. Use Wavelet Packet Decomposition to extract time-frequency features of EEG-data. Finally, use SVM, CNN and LSTM to do the classification.
☆10Updated 4 years ago
Alternatives and similar repositories for Kaggle_EDFMASD
Users that are interested in Kaggle_EDFMASD are comparing it to the libraries listed below
Sorting:
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆79Updated 7 months ago
- ☆108Updated 6 years ago
- PyTorch implementation of TSception☆83Updated 3 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆56Updated 5 years ago
- EEG Signal Processing - Entropy☆19Updated 5 years ago
- Applying Convolutional Neural Networks to EEG signal Analysis☆47Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆175Updated 3 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆41Updated last year
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆34Updated 5 years ago
- LSTM-based neural network system to predict EEG signals☆29Updated 7 years 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 4 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆43Updated 5 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- Emotion Recognition using ML methods on the SEED dataset☆22Updated 6 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆77Updated 2 months ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103Updated 8 months ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆89Updated 6 years ago
- Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.☆22Updated 4 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆168Updated 2 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆238Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆50Updated 4 years ago
- Transfer learning for sleep stage detection☆35Updated 4 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆14Updated 4 years ago
- Learning Representations From EEG With Deep Recurrent-Convolutional Neural Networks☆16Updated 6 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆119Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- Combine fMRI/EEG to learn about music/auditory processing☆16Updated 3 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago