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。%In order to achieve the continuous and dynamic monitoring of physiological signals,such as the pulse wave,the respiratory wave and the blood pressure,a wearable health monitoring body area network system based on piezoelectric film sensors was made.Using the sensors attached into the stretchy fabric (For example,belt and wristband),the system can receive physiological signals such as pulse wave and respiratory wave.A condition recognition algorithm was proposed to distinguish conditions such as lying,standing,sitting,walking,running and sleeping by analyzing the geometric features of the respiratory signals received from piezoelectric film sensors.Taking advantage of the relationships between pulse wave translation time and blood pressure to calculate diastolic blood pressure and systolic blood pressure of user,the pressure-free blood pressure measurement was achieved.The nodes communicated with each other through Bluetooth.The data were displayed on the wearable display devices and mobile devices.The system realized continuous and dynamic monitoring of physiological signals,such as the pulse wave,the respiratory wave,the blood pressure.
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