基于安卓系统的便携式心血管健康监测系统

Portable Cardiovascular Health Monitoring System Based on Android System

为了准确、无创地监测心血管健康状况,本课题设计了一种将柔性压电传感技术与外周动脉张力测定法(PAT)相结合的心血管健康监测系统。首先,设计了一款可穿戴柔性压电传感指套,并利用STM32单片机控制24位模数转换芯片ADS1298进行A/D采集,实现对指端动脉容积脉搏波的准确测量;其次,对采集到的指端动脉容积脉搏波信号进行数字滤波、包络提取和平滑处理,根据平滑包络曲线计算血管反应性充血指数(RHI)作为心血管健康状况的评价指标;最后,通过蓝牙将数据无线传输至移动智能终端,并设计人机交互界面进行实时显示、存储与回放,实现对心血管健康状况的监测。研究结果与分析表明,青年样本组和中年样本组的心血管健康评价指标RHI测量结果存在显著差异(P < 0.001),RHI临界值为1.036时对应的敏感性和特异性分别为93%和82%,具有统计学意义;心血管健康评价指标RHI与年龄的相关系数r = −0.71 (P < 0.001),呈明显负相关。该系统对心血管健康状况诊断的准确性高,成本低,基于移动智能终端设备的人机交互界面便于非专业人员操作使用,非常适合在家庭和社区医院中进行心血管疾病的监测与管理。

In order to accurately and non-invasively monitor cardiovascular health status, this study designed a cardiovascular health monitoring system that combines flexible piezoelectric sensing technology with peripheral arterial tonometry (PAT). Firstly, a wearable flexible piezoelectric sensing finger cot was designed, and an STM32 microcontroller was used to control the 24-bit analog-to-digital converter ADS1298 for A/D acquisition, achieving accurate measurement of the finger arterial volume pulse wave. Secondly, the collected finger arterial volume pulse wave signal was digitally filtered, envelope extracted, and smoothed. Based on the smoothed envelope curve, the reactive hyperemia index (RHI) was calculated as an evaluation index of cardiovascular health status. Finally, the data was wirelessly transmitted to a mobile intelligent terminal via Bluetooth, and a human-computer interaction interface was designed for real-time display, storage, and playback, achieving the monitoring of cardiovascular health status. The research results and analysis show that there are significant differences (P < 0.001) in the RHI measurement results of the young sample group and the middle-aged sample group, the RHI threshold value of 1.036 corresponds to a sensitivity and specificity of 93% and 82%, which are statistically significant. The correlation coefficient between the RHI and age is r = −0.71 (P < 0.001), showing a significant negative correlation. This system has high accuracy and low cost in diagnosing cardiovascular health status, and the human-computer interaction interface based on mobile intelligent terminal devices is easy for non-professionals to operate, making it very suitable for monitoring and management of cardiovascular diseases in home and community hospitals.