mateuspedrino / EEG-real-time-acquisition-and-power-spectrum-and-coherence-analysis
These files contemplate my scientific initiation project in digital signal processing. In this project I developed a BCI in Python using Ultracortex "Mark IV" EEG system from OpenBCI and I proposed a non-parametric analysis of data during stress tasks (Montreal and Stroop) through Welch's power spectrum and coherence estimator.
☆10Updated 5 years ago
Alternatives and similar repositories for EEG-real-time-acquisition-and-power-spectrum-and-coherence-analysis:
Users that are interested in EEG-real-time-acquisition-and-power-spectrum-and-coherence-analysis are comparing it to the libraries listed below
- EEG Signal Classification using LSTM on various datasets☆11Updated 4 years ago
- Implementation of EEG signal classification.☆49Updated 8 years ago
- This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).☆23Updated 3 years ago
- Hands-on tutorial on deep learning for EEG classification.☆70Updated 9 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆214Updated 9 months ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆29Updated 4 years ago
- ☆30Updated 3 years ago
- SSVEP Brain Computer Interface - Example code for real-time detection of SSVEP using the Canonical Correlation Analysis (CCA) code in rea…☆17Updated 5 years ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆88Updated 6 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Electroencephalogram(EEG) benchmark dataset Chb-mit is used for seizure detection. The CHB-MIT dataset is a publicly available database …☆14Updated 2 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆111Updated 3 years ago
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆50Updated 2 years ago
- EEG online experiment GUI☆15Updated last year
- CNN classifier to classify MI-EEG signals☆48Updated 5 years ago
- Automatic EEG IC classification plugin for EEGLAB☆57Updated last month
- ☆103Updated 5 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆83Updated 4 years ago
- LSTM-based neural network system to predict EEG signals☆29Updated 6 years ago
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆65Updated 7 months ago
- ☆104Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 3 years ago
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 6 months ago
- Deep Learning EEG Playground☆73Updated 6 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Matlab code for proccesing EEG signals.☆77Updated 6 years ago
- Material for Pybrain 2020 MNE-Python workshop☆130Updated 4 years ago