Vidhiwar/multimodule-ecg-classification
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
This project helps medical professionals and researchers analyze Electrocardiogram (ECG) data to detect and classify various heart arrhythmias. It takes raw ECG recordings as input and produces classifications of different arrhythmia types. Cardiologists, medical technicians, and clinical researchers focused on cardiac health would find this tool valuable for automated ECG analysis.
113 stars. No commits in the last 6 months.
Use this if you need an advanced, automated system to accurately classify heart arrhythmias from ECG signals.
Not ideal if you need a simple, visual ECG viewer or a tool for real-time patient monitoring without a focus on deep learning classification.
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Last pushed
Oct 04, 2021
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