preminstrel/ECG-Classification
ECG Classification using PyTorch
This project helps medical professionals and researchers by accurately classifying heart arrhythmias from electrocardiogram (ECG) signals. It takes raw ECG data as input and outputs a classification of 17 different heart rhythm types, helping in the early detection of cardiovascular diseases. Healthcare practitioners, especially cardiologists and those working with wearable health technology, would benefit from this.
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Use this if you need a highly accurate and resource-efficient solution for detecting heart arrhythmias from ECG readings, particularly for deployment on hardware-constrained devices like wearables.
Not ideal if you are looking for a general-purpose ECG analysis tool that doesn't prioritize low memory and power consumption for embedded systems.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 27, 2022
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