嵌入式设备下的老年人健康智能监测方法设计

Design of Intelligent Monitoring Method for Elderly Health Under Embedded Equipment

老年人的身体特征和生理参数变化较大,传统的健康监测方法无法适应这种复杂性和个体差异性,导致对老年人健康监测时,对心率、血氧等健康参数监测误差大,无法为老年人健康管控提供保障条件。为此,结合嵌入式微控制器STM32,开展对老年人健康智能监测方法的研究。采集并处理老年人生理健康参数,利用皮尔逊相关系数获取健康参数信号之间的相关性,建立心率与血氧模型,通过将STM32芯片与存储芯片连接,实现对老年人健康的智能监测。通过对比实验证明:这种监测方法可以有效减小监测误差,促进监测精度提高,具有极高的应用价值。

The physiological health parameters of the elderly are collected and processed,the Pearson correlation coefficient is used to obtain the correlation between the health parameters,and the heart rate and blood oxygen model were established.By connecting the STM32 chip with the memory chip,the intelligent monitoring of the health of the elderly was realized.Through comparative experiments,it is proved that this monitoring method can effectively reduce the monitoring error,promote the improvement of the monitoring accuracy,and has a very high application value.