基于压电薄膜传感器的穿戴式健康监测体域网系统

发布时间：2018-04-11 13:09

本文选题：仪器仪表技术 + 穿戴式健康监测　；参考：《国防科技大学学报》2016年06期

【摘要】：为实现脉搏、呼吸、血压等重要生理信号的连续运动监测,研制了一种基于压电薄膜传感器的穿戴式健康监测体域网系统。体域网系统利用放置于弹性织物(腰带、腕带)内部的压电薄膜传感器获取人体脉搏波、呼吸波等生理信号。根据压电薄膜传感器监测到的呼吸信号的几何特征提出一种状态识别算法,可区分站立、走、跑、坐、躺、睡眠等状态。利用脉搏波传导时间与血压的关系计算佩戴者的收缩压和舒张压,实现无压迫血压监测。系统通过蓝牙实现体域网节点的互通信,利用穿戴显示设备和移动终端实现数据显示,实现了脉搏、呼吸、血压的连续运动监测。
[Abstract]:In order to realize continuous motion monitoring of vital physiological signals such as pulse, respiration and blood pressure, a wearable body-area network system for health monitoring based on piezoelectric thin film sensor was developed.The body area network system uses piezoelectric thin film sensors placed in elastic fabric (belt, wrist band) to obtain physiological signals such as pulse wave and breath wave.According to the geometric characteristics of respiratory signals monitored by piezoelectric thin film sensors, a state recognition algorithm is proposed, which can distinguish standing, walking, running, sitting, lying down, sleeping and so on.The systolic and diastolic blood pressure of wearer was calculated by the relationship between pulse wave conduction time and blood pressure.The system realizes the mutual communication between the nodes of the body area network through Bluetooth, realizes the data display by using the wearable display device and the mobile terminal, and realizes the continuous motion monitoring of pulse, breath and blood pressure.
【作者单位】：吉林大学仪器科学与电气工程学院;
【基金】：国家自然科学基金资助项目(51303062;61202307) 中央高校基本科研业务费专项资金资助项目(JCKY-QKJC13)
【分类号】：R443;TP212

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