Artificial Intelligence for Congenital Heart Disease Screening
A study on large-scale CHD screening using AI-based heart sound analysis, transmitting data via STM32 and W5100 Ethernet for deep learning classification.
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π Overview This project is a study on large-scale screening for congenital heart disease (CHD) using an AI-based heart sound analysis system. Heart sound data collected with an electronic stethoscope are transmitted from an embedded system based on STM32 + Ethernet (W5100) to an upper-level computing platform, where diseases are automatically classified using deep learning models (RNN/CNN). The system aims to provide a low-cost, highly scalable diagnostic support solution that can be deployed even in regions with limited medical infrastructure. π Features AI-Based Heart Sound Diagnosisβ¦
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