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
LeXing1105's Stars
DiGyt/asrpy
Artifact Subspace Reconstruction for Python
ElliotY-ML/Heart_Rate_Estimation_PPG_Acc
Udacity AI for Healthcare Nanodegree Project: Heart Rate Estimation Algorithm From PPG and Accelerometer data
SayeedChowdhury/Heart-Rate-Estimation-using-PPG-during-exercise-in-intense-motion-artifacts
This project addresses to estimate heart rate (HR) during exercise in real-time using wrist-type PPG signals amidst intense motion artifacts
AlessandraGalli/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. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.
anthonyesp/low_density_eeg_asr
sharing code and data for artifact removal in EEG
ryanlopezzzz/EEG
We build an EEG headset which allows the user to send morse code to a computer using their brain wave activity.
LeXing1105/3D-Printed-EEG-arrays-headsets
3D printed EEG electrodes, electrode arrays, and EEG headsets via flexible printing filaments
JinY97/GCTNet
mikexcohen/DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
tensorflow/tflite-micro-arduino-examples
Non-Invasive-Bioelectronics-Lab/Autoencoder
Autoencoder Deep Learning model for EEG artifact removal on computers and Android smartphone
Non-Invasive-Bioelectronics-Lab/3D-printed-directly-conductive-EEG-electrode-models
3D printed directly conductive and flexible EEG electrode models