MSc Project: Quantifying Stress Pattern. A 9-month individual research project, as a part of my MSc Communication & Signal Processing at Imperial College London. (ECG, HRV, SVM, LSTM, MATLAB)

Final Project developed for Human Data Analytics (HDA) course during MSc in Data Science at University of Padova (UNIPD)

ECG Classification

[深度应用]·首届中国心电智能大赛初赛开源Baseline（基于Keras val_acc: 0.88）

Classification of ECG signals by dot Residual LSTM Network for anomaly detection

Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"

Patient Specific ECG Classification with 1D Convolution Neural Networks

Official implementation of "Regularised Encoder-Decoder Architecture for Anomaly Detection in ECG Time Signals"

Multi-class classification from single lead ECG recordings

Brain Computer Interaction project : engage and stop a hand exoskeleton though ECG signal decoding.

[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.

using GAN for ECG classification

using VAE for ECG Classification

ECG_PLATFORM is a complete framework designed for testing QRS detectors on publicly available datasets.

1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

Determine the gender from a 12 Lead ECG signal with different machine learning algorithms.

Code for training and evaluating CNNs to classify ECG signals from the MIT-BIH arrhythmia database.

Stress Assesment from single-channel ECG