Bhawna's starred repositories
Feature_Selection_with_BPSO-OBL
Graduation Project with one team member - Feature Selection by using Binary Partical Swarm Optimization with Opposition Based Learning
PSOFeatureSelection
A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
EEG-Datasets
A list of all public EEG-datasets
EEG_classification
EEG Sleep stage classification using CNN with Keras
Seizure_FE
Feature extraction for EEG signals
svm_mnist_digit_classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
facenet-face-recognition
A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face
noisepoolPCADenoise
General purpose denoising suite that denoises EEG/MEG/ECoG data
EEG-Motor-Imagery-Classification---ANN
Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction
EEG_ECG-singals
preparation and feature extraction in EEG ECG signals
Feature-Extraction-EEG
Feature Extraction of Mental Load EEG signals
Motor-Imagery-Tasks-Classification-using-EEG-data
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
N170-ERP-Detection
Wavelet Based N170 ERP detection algorithm for EEG analysis
Suitable-Basis-Wavelet-for-EEG
Finding the best Daubechies Family wavelet which can better approximate the non-stationary EEG signals and effectively classify them for seizure detection.
Human-Emotion-Analysis-using-EEG-from-DEAP-dataset
Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)
bss_ica_eeg
Blind Source Separation: Independent Component Analysis for EEG data with python-MNE package and SSVEP
EEG-analysis
Process and analyse EEG brain signals using EEGlab