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Hong Quan LE's Projects

biosignal-auth icon biosignal-auth

Proyecto Final para la obtencion del titulo de grado "Ingeniero en Informatica" en ITBA

books icon books

:notebook: Learning resources.

bss_ica_eeg icon bss_ica_eeg

Blind Source Separation: Independent Component Analysis for EEG data with python-MNE package and SSVEP

deepeeg icon deepeeg

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

dl-4-tsc icon dl-4-tsc

Deep Learning for Time Series Classification

emg-movement-recognition icon emg-movement-recognition

The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 6, pp. 662-673, June 2016.]. The paper proposes a system for hand movement recognition using multi-channel electromyographic (EMG) signals obtained from the forearm surface. This system can be potentially used to control prostheses or to provide input to a wide range of human computer interface systems. The developed methods were tested with the publicly available NINAPro database.

emggo icon emggo

A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fieldtrip icon fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

keras-resources icon keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

manyears icon manyears

ManyEars Sound Source Localization, Tracking and Separation

mimo-channel-estimation icon mimo-channel-estimation

Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.

mne-python icon mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

models icon models

Models and examples built with TensorFlow

myomapper icon myomapper

Myo Mapper is an open-source application to map Myo armband data into OSC.

nina_helper icon nina_helper

Python functions to aid working with the NINAPRO databases (1 & 2)

ninaprocnn icon ninaprocnn

Convolutional Neural Networks On Ninapro datasets

ninatools icon ninatools

Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.

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