Srinivas-Natarajan/Heart-Arrhythmia-Classification
This program takes and input of an ECG in European Data Format (EDF) and outputs the classification for heartbeats into normal vs different types of arrhythmia . It uses a deep learning model for classification purposes.
This program helps cardiologists, clinical researchers, or medical technicians quickly classify heartbeats from an Electrocardiogram (ECG) recording. It takes an ECG in European Data Format (EDF) and outputs a text file detailing the classification of each heartbeat into normal or various types of arrhythmia. This allows for automated preliminary analysis of heart rhythm disorders.
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Use this if you need to automatically identify and categorize different types of heart arrhythmias from standard ECG data files.
Not ideal if you require real-time ECG analysis or need to interpret raw, unprocessed ECG signals directly from a monitoring device.
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Feb 01, 2022
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