一种基于h- shirt的人体传感器网络，用于动脉血压的无袖带校准和估计

2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks Pub Date : 2009-06-03 DOI:10.1109/BSN.2009.23

W. Gu, Carmen C. Y. Poon, M. Y. Sy, H. K. Leung, Yong-Pei Liang, Yuan-ting Zhang

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引用次数: 19

摘要

本文提出了一种基于h-Shirt的无袖扣人体传感器网络(BSN)收缩压测量系统。对22名受试者分别进行了无叶校正方法和BSN系统的评价实验。结果表明，BSN系统可以在不使用袖带的情况下，在10例21-35岁健康受试者的参考血压1.2±6.0 mmHg范围内，利用脉冲估计的时间和距离以及PPG二级导数得到的参数，完全测量收缩压。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A h-Shirt-Based Body Sensor Network for Cuffless Calibration and Estimation of Arterial Blood Pressure

In this paper, a body sensor network (BSN) system for measuring systolic blood pressure (SBP) by a cuffless approach based on h-Shirt has been developed. Two experiments were conducted on a total of 22 subjects to evaluate the cuffless calibration approach and BSN system respectively. The results showed that using the estimated time and distance travelled by a pulse and a parameter derived from the secondary derivative of PPG, the BSN system can measure SBP completely without using a cuff within 1.2±6.0 mmHg of the reference on 10 healthy subjects aged 21-35 yrs.

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2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks

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