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使用多普勒多雷达系统通过非接触式传感评估人体呼吸模式。

Assessment of human respiration patterns via noncontact sensing using Doppler multi-radar system.

作者信息

Gu Changzhan, Li Changzhi

机构信息

Marvell Technology Group Ltd., 5488 Marvell Lane, Santa Clara, CA 95054, USA.

Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA.

出版信息

Sensors (Basel). 2015 Mar 16;15(3):6383-98. doi: 10.3390/s150306383.

Abstract

Human respiratory patterns at chest and abdomen are associated with both physical and emotional states. Accurate measurement of the respiratory patterns provides an approach to assess and analyze the physical and emotional states of the subject persons. Not many research efforts have been made to wirelessly assess different respiration patterns, largely due to the inaccuracy of the conventional continuous-wave radar sensor to track the original signal pattern of slow respiratory movements. This paper presents the accurate assessment of different respiratory patterns based on noncontact Doppler radar sensing. This paper evaluates the feasibility of accurately monitoring different human respiration patterns via noncontact radar sensing. A 2.4 GHz DC coupled multi-radar system was used for accurate measurement of the complete respiration patterns without any signal distortion. Experiments were carried out in the lab environment to measure the different respiration patterns when the subject person performed natural breathing, chest breathing and diaphragmatic breathing. The experimental results showed that accurate assessment of different respiration patterns is feasible using the proposed noncontact radar sensing technique.

摘要

人体胸部和腹部的呼吸模式与身体和情绪状态都有关联。准确测量呼吸模式为评估和分析受试者的身体和情绪状态提供了一种方法。由于传统的连续波雷达传感器在跟踪缓慢呼吸运动的原始信号模式时不准确,因此在无线评估不同呼吸模式方面所做的研究工作并不多。本文提出了基于非接触式多普勒雷达传感对不同呼吸模式进行准确评估的方法。本文评估了通过非接触式雷达传感准确监测不同人体呼吸模式的可行性。一个2.4GHz直流耦合多雷达系统被用于在不产生任何信号失真的情况下准确测量完整的呼吸模式。在实验室环境中进行了实验,以测量受试者进行自然呼吸、胸式呼吸和腹式呼吸时的不同呼吸模式。实验结果表明,使用所提出的非接触式雷达传感技术准确评估不同呼吸模式是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/4435179/10189537c8bf/sensors-15-06383-g001.jpg

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