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基于雷达的非接触式生命体征监测系统的心肺活动胸壁运动建模

Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems.

作者信息

Singh Anuradha, Rehman Saeed Ur, Yongchareon Sira, Chong Peter Han Joo

机构信息

Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand.

College of Science and Engineering, Flinders University, Adelaide 5042, Australia.

出版信息

Sensors (Basel). 2020 Sep 7;20(18):5094. doi: 10.3390/s20185094.

Abstract

Chest wall motion can provide information on critical vital signs, including respiration and heartbeat. Mathematical modelling of chest wall motion can reduce an extensive requirement of human testing in the development of many biomedical applications. In this paper, we propose a mathematical model that simulates a chest wall motion due to cardiorespiratory activity. Chest wall motion due to respiration is simulated based on the optimal chemical-mechanical respiratory control-based mechanics. The theory of relaxation oscillation system is applied to model the motion due to cardiac activity. The proposed mathematical chest wall model can be utilized in designing and optimizing different design parameters for radar-based non-contact vital sign (NCVS) systems.

摘要

胸壁运动可以提供有关关键生命体征的信息,包括呼吸和心跳。胸壁运动的数学建模可以减少许多生物医学应用开发中对人体测试的大量需求。在本文中,我们提出了一个模拟由于心肺活动引起的胸壁运动的数学模型。基于基于最优化学 - 机械呼吸控制的力学来模拟由于呼吸引起的胸壁运动。应用松弛振荡系统理论对由于心脏活动引起的运动进行建模。所提出的胸壁数学模型可用于设计和优化基于雷达的非接触生命体征(NCVS)系统的不同设计参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0086/7570465/0c9ceaec5915/sensors-20-05094-g001.jpg

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