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EmRad：使用紧凑型连续波雷达进行无处不在的生命体征传感。

EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars.

作者信息

Albrecht Nils C, Langer Dominik, Krauss Daniel, Richer Robert, Abel Luca, Eskofier Bjoern M, Rohleder Nicolas, Koelpin Alexander

机构信息

Institute of High-Frequency TechnologyTechnische Universität Hamburg 21073 Hamburg Germany.

Machine Learning and Data Analytics LabFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.

出版信息

IEEE Open J Eng Med Biol. 2024 Jun 28;5:725-734. doi: 10.1109/OJEMB.2024.3420241. eCollection 2024.

DOI:10.1109/OJEMB.2024.3420241
PMID:39184969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11342936/
Abstract

In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact with the patient, posing limitations for long-term and unobtrusive monitoring. To address this challenge, we introduce the EmRad system, an innovative solution harnessing the capabilities of continuous-wave (CW) radar technology for the contactless detection of vital signs, including heart rate and respiratory rate. EmRad discerns itself by emphasizing miniaturization, performance, scalability, and its ability to generate large-scale datasets in various environments. This article explains the system's design, focusing on signal processing strategies and motion artifact reduction to ensure precise vital sign extraction. The EmRad system's versatility is showcased through various case studies, highlighting its potential to transform vital sign monitoring in research and clinical contexts.

摘要

在生物医学监测中，对生命体征进行非侵入式连续跟踪是一个至关重要但具有挑战性的目标。虽然心电图（ECG）和光电容积脉搏波描记法（PPG）等传统方法准确，但需要与患者直接接触，这对长期和非侵入式监测构成了限制。为应对这一挑战，我们引入了EmRad系统，这是一种创新解决方案，利用连续波（CW）雷达技术的能力对包括心率和呼吸频率在内的生命体征进行非接触式检测。EmRad通过强调小型化、性能、可扩展性以及在各种环境中生成大规模数据集的能力而脱颖而出。本文解释了该系统的设计，重点是信号处理策略和运动伪影减少，以确保精确提取生命体征。通过各种案例研究展示了EmRad系统的多功能性，突出了其在研究和临床环境中改变生命体征监测的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ad0/11342936/acb2ee132f62/albre12-3420241.jpg
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本文引用的文献

1
Machine learning-based detection of acute psychosocial stress from body posture and movements.基于机器学习的身体姿势和动作的急性心理社会应激检测。
Sci Rep. 2024 Apr 8;14(1):8251. doi: 10.1038/s41598-024-59043-1.
2
VitRad: A low-cost continuous wave Doppler radar system with 3D-printed horn antennas for human vital sign detection.VitRad：一种采用3D打印喇叭天线的低成本连续波多普勒雷达系统，用于人体生命体征检测。
HardwareX. 2022 Sep 20;12:e00361. doi: 10.1016/j.ohx.2022.e00361. eCollection 2022 Oct.
3
Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks.
使用雷达干涉测量法和双向 LSTM 网络进行冷加压试验期间的心率变异性的非接触式分析。
Sci Rep. 2021 Feb 4;11(1):3025. doi: 10.1038/s41598-021-81101-1.
4
A dataset of clinically recorded radar vital signs with synchronised reference sensor signals.一个包含临床记录的雷达生命体征数据，以及同步参考传感器信号的数据集。
Sci Data. 2020 Sep 8;7(1):291. doi: 10.1038/s41597-020-00629-5.
5
Segmentation of Radar-Recorded Heart Sound Signals Using Bidirectional LSTM Networks.使用双向长短期记忆网络对雷达记录的心音信号进行分割
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:6677-6680. doi: 10.1109/EMBC.2019.8857863.
6
Radar-Based Heart Sound Detection.基于雷达的心音检测。
Sci Rep. 2018 Jul 26;8(1):11551. doi: 10.1038/s41598-018-29984-5.
7
Estimation of Human Body Vital Signs Based on 60 GHz Doppler Radar Using a Bound-Constrained Optimization Algorithm.基于 60GHz 多普勒雷达的人体生命体征估计的边界约束优化算法。
Sensors (Basel). 2018 Jul 12;18(7):2254. doi: 10.3390/s18072254.
8
Unobtrusive measures in behavioral assessment.行为评估中的非侵入性测量。
J Appl Behav Anal. 1979 Winter;12(4):713-24. doi: 10.1901/jaba.1979.12-713.
9
Long short-term memory.长短期记忆
Neural Comput. 1997 Nov 15;9(8):1735-80. doi: 10.1162/neco.1997.9.8.1735.
10
The 'Trier Social Stress Test'--a tool for investigating psychobiological stress responses in a laboratory setting.“特里尔社会应激测试”——一种用于在实验室环境中研究心理生物学应激反应的工具。
Neuropsychobiology. 1993;28(1-2):76-81. doi: 10.1159/000119004.