Medical device simulator for training healthcare professionals.
Self-supervised pre-training for ECG representation with inspiration from transformers & computer vision
In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.
In this project, we introduce a deep learning-based model for predicting age from 12-lead ECG data.
The repo provides different backbone such as (resnet, densenet, inception net ) with different Attention networks like SENet,DANet, MCANet,Multi head Attention (MHA) combination model .
A Simulation Framework for Modeling Cardiac Electrophysiology and 12-Lead ECG Generation
EDA of Physionet Data set regarding "A Large Scale 12 Lead Electrocardiogram Database for Arrhythmia Study 1.0.0". This project focuses on the preprocessing of electrocardiogram (ECG) signals and utilizes Principal Component Analysis (PCA) for dimensionality reduction
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