| 基于压电薄膜传感器的穿戴式健康监测体域网系统 |
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| 引用本文： | 辛毅,郭超,凌振宝,田红英,李想,戴强.基于压电薄膜传感器的穿戴式健康监测体域网系统[J].国防科技大学学报,2016,38(6):161-167. |
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| 作者姓名： | 辛毅 郭超 凌振宝 田红英 李想 戴强 |
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| 作者单位： | 吉林大学仪器科学与电气工程学院,吉林大学仪器科学与电气工程学院,吉林大学仪器科学与电气工程学院,吉林大学仪器科学与电气工程学院,吉林大学仪器科学与电气工程学院,吉林大学仪器科学与电气工程学院 |
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| 基金项目： | 国家自然科学基金（51303062，61202307）；中央高校基本科研业务费专项资金项目。 |
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| 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。
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| 关 键 词： | 仪器仪表技术 穿戴式健康监测 体域网系统 脉搏波 呼吸波 脉搏波传导时间 无压迫血压测量 状态识别 |
| 收稿时间： | 2015/7/15 0:00:00 |
| 修稿时间： | 9/2/2015 12:00:00 AM |
Wearable health monitoring body area network systembased on PVDF |
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| XIN Yi,GUO Chao,LING Zhenbao,TIAN Hongying,LI Xiang and DAI Qiang.Wearable health monitoring body area network systembased on PVDF[J].Journal of National University of Defense Technology,2016,38(6):161-167. |
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| Authors: | XIN Yi GUO Chao LING Zhenbao TIAN Hongying LI Xiang and DAI Qiang |
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| Affiliation: | College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China,College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China,College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China,College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China,College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China and College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China |
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| Abstract: | A wearable health monitoring body area network system based on piezoelectric film sensors was made successfully. 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. An innovative algorithm was proposed to distinguish condition recognition such as lying, standing, sitting, walking, running and sleeping by analyzing characteristics of the respiratory signals received from piezoelectric film sensors. Taking advantage of the relationships between PTT and blood pressure to calculate diastolic blood pressure and systolic blood pressure of user, pressure-free blood pressure measurement can be achieved. The nodes communicate with each other through bluetooth. The data can be 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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| Keywords: | Instrumentation technology Wearable health monitoring Body area network systems Pulse wave Respiratory wave PTT Pressure-free blood pressure measurement Condition recognition |
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