LeXing1105
I am a PhD researcher working on wearable EEG technology, including 3D-printed electrodes, deep learning for EEG signal processing, and brain stimulation.
The University of ManchesterManchester, UK
Pinned Repositories
3D-printed-directly-conductive-EEG-electrode-models
3D printed directly conductive and flexible EEG electrode models
3D-Printed-EEG-arrays-headsets
3D printed EEG electrodes, electrode arrays, and EEG headsets via flexible printing filaments
Android-Studio-learning
Udemy Online course Code
ARtACS
Matlab modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
asrpy
Artifact Subspace Reconstruction for Python
Autoencoder
Autoencoder Deep Learning model for EEG artifact removal in Android smartphone
DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载
EEG
We build an EEG headset which allows the user to send morse code to a computer using their brain wave activity.
NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
LeXing1105's Repositories
LeXing1105/3D-Printed-EEG-arrays-headsets
3D printed EEG electrodes, electrode arrays, and EEG headsets via flexible printing filaments
LeXing1105/3D-printed-directly-conductive-EEG-electrode-models
3D printed directly conductive and flexible EEG electrode models
LeXing1105/Android-Studio-learning
Udemy Online course Code
LeXing1105/ARtACS
Matlab modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
LeXing1105/asrpy
Artifact Subspace Reconstruction for Python
LeXing1105/Autoencoder
Autoencoder Deep Learning model for EEG artifact removal in Android smartphone
LeXing1105/DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
LeXing1105/Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载
LeXing1105/EEG
We build an EEG headset which allows the user to send morse code to a computer using their brain wave activity.
LeXing1105/NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
LeXing1105/PPG
Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition.
LeXing1105/smartphone-FastICA-demo
This is an Android Studio Project which implements the FastICA decomposition algorithm in smartphones
LeXing1105/Tiny-PPG