aliebayani/Linear-Deep-Convolutional-Neural-Network-LDCNN
LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network
This project helps cardiologists and medical researchers quickly identify heart arrhythmias from Electrocardiogram (ECG) signals. It takes raw or preprocessed ECG recordings and outputs a classification indicating whether a beat is normal or identifies specific types of arrhythmias like atrial premature beats or myocardial infarctions. This is designed for medical professionals working with cardiovascular diagnostics.
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Use this if you need an automated tool to classify cardiac arrhythmias from ECG data, enhancing diagnostic efficiency and accuracy.
Not ideal if you are looking for a tool to interpret ECGs for non-arrhythmia related conditions or if you require real-time patient monitoring.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 02, 2024
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