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followers: 2.0 following: 1.0 repos: 11.0 gists: 0.0

Name: Le Xing

Type: User

Company: The University of Manchester

Bio: I am a PhD researcher working on wearable EEG technology, including 3D-printed electrodes, deep learning for EEG signal processing, and brain stimulation.

Twitter: Xingle9

Location: Manchester, UK

Blog: https://research.manchester.ac.uk/en/persons/le.xing

👋 Hi, I’m @LeXing1105
👀 I’m interested in healthcare and physiological monitoring area.
🌱 I’m currently learning wearable EEG development and EEG signal processing and Brain-computer interfaces.
💞️ I’m looking to collaborate on biomedical applications for better future healthcare technologies.
📫 How to reach me ...contact me via email: [email protected]

Le Xing's Projects

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

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

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.

smartphone-fastica-demo

This is an Android Studio Project which implements the FastICA decomposition algorithm in smartphones

tiny-ppg

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