northeastwang

ArMyo

Action Recognition using Time Series CNNs for EMG Data

Attention_Network_With_Keras

An example attention network with simple dataset.

BCI_competition_III_IVa_analysis

CSP-based EEG feature extraction and visualization and classification tasks

BCI_EEGNet

EEGNet implementation of 2 BCI competition datasets

BPK409-Lab3-EMG

The purpose of this unit is to introduce you to the measurement and analysis of electrical activity generated by skeletal muscle, including determining the magnitude of muscle activation, the frequency spectrum of the muscle activity, and the level of muscle fatigue.

CCSA

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

CIMAP

Python algorithm to assess muscle activation patterns during cyclical movements

CNN-Attention

An Image Classifier with attention layers visualized

DomainAdaptionPytorch

Code for recent domain adaption implemented by pytorch.

EMG-GAN

GANs for generating EMG signals

northeastwang/BCI_competition_III_IVa_analysis

CSP-based EEG feature extraction and visualization and classification tasks

northeastwang/BPK409-Lab3-EMG

The purpose of this unit is to introduce you to the measurement and analysis of electrical activity generated by skeletal muscle, including determining the magnitude of muscle activation, the frequency spectrum of the muscle activity, and the level of muscle fatigue.

northeastwang/CIMAP

Python algorithm to assess muscle activation patterns during cyclical movements

northeastwang/Deep-Learning-for-Human-Activity-Recognition

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

northeastwang/EMG

Python, PyQt5, microcontroller & electrode setup to measure EMG signals and test closed-loop (prosthetic) sensory feedback.

northeastwang/emg-myo-armband-lstm

northeastwang/EMG_REALTIME_ROBOT

PROGRAM UNTUK REALTIME ROBOT EKSOSKELETON TANGAN BERBASIS EMG DENGAN RANDOM FOREST

northeastwang/FS-HGR

FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography

northeastwang/dcnn_mu_decomp

northeastwang/EEG-Motor-Imagery-Classification---ANN

Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction

northeastwang/EEGANet

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

northeastwang/EEGprocessing

northeastwang/EMG_Crosstalk_Decomposition_Workshop

Theis repository contains notebooks that was developed to teach how the Principal Component Analysis (PCA) and Independent Component Analysis (ICA) works and how them can be used to decompose high-density surface electromyogram (HD sEMG) signals using the well-known FastICA algorithm.

northeastwang/EMG_Decomposition

Decomposing raw electromyography data into motor unit action potentials (MUAPs)

northeastwang/EMG_decomposition_rhd

northeastwang/EMGdecomPy

A package for decomposing multi-channel EMG signals into individual motor unit activity.

northeastwang/fastICA_EMG_decomp

Matlab implementation of FastICA approach for hdEMG decompostion, presented in the Hyser dataset paper

northeastwang/FB-EEGNet

a deep neural network for ssvep target recognition.

northeastwang/Gest-Infer

This repository includes components used in the article titled "Event-Driven Edge Deep Learning Decoder for Real-time Gesture Classification and Neuro-inspired Rehabilitation Device Control"

northeastwang/hdEMG-Decomposition

MATLAB implementation of (FAST) ICA decomposition of hd-sEMG signals to motor units

northeastwang/Keras-FewShotLearning

Some State-of-the-Art few shot learning algorithms in tensorflow 2

northeastwang/Meta-Learning-for-EEG-Classification-in-Schizophrenia

Notebooks and pre-processing code for a meta learning paper/project involving the classification of EEG spectrograms.

northeastwang/MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

northeastwang/MNE-Cookbook

使用MNE-python过程中的小技巧,即如何处理MEG/EEG信号数据.

northeastwang/muscle_synergy_torque_accuracy

project to explore the relationship between muscle activation patterns and torque-perceptual accuracy

northeastwang/Schizophrenia-Detection-Using-EEG-and-ML

Jupyter notebook for detection of schizophrenia in subjects using EEG and ML algorithms - Logistic Regression and 1D CNN

northeastwang/sEMG_DeepLearning

sEMG-based gesture recognition using deep learnig

northeastwang/shiftRobustMPR

northeastwang/Siamese-keras

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

northeastwang/Simulated-HDsEMG-CNN-decomposition