U-Net for Reconstructing 12 LEADs ECG Signals

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Avatar of Gavin Jang.

U-Net for Reconstructing 12 LEADs ECG Signals

AI Engineer
Taichung City, Taiwan
12 Leads ECG is essential for examining cardio status. However, most commercial-grade products only measure the DII Lead signal. And so, Reconstructed 12 Leads ECG Signal might be a better solution for identifying arrhythmia for data collected by smart devices. Here I built a Deep Learning model with U-Net Architecture for this specific task. GitHub Link: https://github.com/hawkiyc/12_Leads_ECG_Reconstruction_wtih_U_Net
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Published: Feb 5th 2023
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Tools

python
Python

12 LEADs ECG
Medicine
Cardiology
AI
Deep Learning
Machine Learning
U-Net
Python
PyTorch

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