Design of Heart Sound Detection Necklace Based on STM32 and LSTM Neural Network

The purpose of this study is to design and develop an innovative smart wearable device heart sound detection necklace, which uses STM32 microcontroller as the main control unit, and uses its powerful processing power and rich peripheral interfaces to ensure the efficiency and stability of data acquisition. At the same time, by integrating the LSTM neural network algorithm, the deep learning and intelligent analysis of the heart sound signal are realized to improve the accuracy of disease identification. The system is able to provide individuals with personalized health advice and promote early intervention and effective management of cardiovascular diseases.