Design of Blood Glucose Detection System Based on RNN Neural Network
This paper describes the overall design of a blood glucose detection system based on RNN neural network,analyzes the specific design requirements of the system,hardware design includes module design,network communication circuit design,software design includes upper computer software design,and system detection process.It explores blood glucose data analysis methods based on RNN neural networks,mainly including signal separation,heart rate parameters,body surface temperature,and radiation energy.