In this project, convolutional neural networks are proposed to classify sixteen different ECG beat types in the MIT-BIH arrhythmia database. We aimed to implement a computer-aided diagnosis system in intensive care to help doctors instead of keeping an eye on the patient 24 hours, the system automatically classifies heartbeats and alarm the doct…
☆13Jan 12, 2021Updated 5 years ago
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