Code for Optimized Arrhythmia Detection on Ultra-Edge Devices
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Updated
May 26, 2022 - Jupyter Notebook
Code for Optimized Arrhythmia Detection on Ultra-Edge Devices
Flutter ECG application to Windows and Android.
Machine learning project on Distinguish between the presence and absence of cardiac arrhythmia and its classification in one of the 16 groups.
Solving physionet2017 with RCRNN
Code for deployed deep learning model in production for arrhythmia detection with Explainable AI
Code for CNNs based Explainable arrhythmia detection in federated settings
Arrhythmia detection using topological data analysis in combination with a convolutional neural network.
A transformer custom tailored for arrhythmia detection and based on ECG (Electrocardiogram) signals.
Cardiac recordings plotting and analysis tool
Files of undergraduate thesis of group 180923_180939.
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