Design of Sleep Quality Monitoring and Management System Based on BP Neural Network
The sleep quality characteristics of different sleep stages are different,and it is difficult to accurately extract the multi-stage sleep characteristics,resulting in poor accuracy of sleep quality monitoring.Therefore,a sleep quality monitoring management system based on BP(Back Propagution)neural network is designed.According to the basic knowledge of sleep physiology,the pressure changes in the process of physiological activities during human sleep is analyzed,wireless acquisition and control module,sleep quality feature extraction module,sleep quality monitoring and management module are designed,and the hardware design of sleep quality monitoring and management system are realized.The characteristics of EEG(Electroencephalogram)signals in sleep phase is analyzed,BP neural network is introduced to extract sleep characteristics,time-frequency and nonlinear characteristics in sleep phase are acquired,and the design of sleep quality monitoring and management system is completed through mutual cooperation with hardware modules.The experimental results show that the designed system can achieve more satisfactory sleep quality monitoring and management results,and the system power consumption is low.
back propagution(BP)neural networksleep qualitymonitoring management systemfeature extraction
万方数据
维普
