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基于雷达技术的心率和呼吸率测量的系统文献回顾。

Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology.

机构信息

German Air Force Centre of Aerospace Medicine, 51147 Cologne, Germany.

Department of Occupational Medicine, Faculty of Medicine, Otto von Guericke University of Magdeburg, 39120 Magdeburg, Germany.

出版信息

Sensors (Basel). 2024 Feb 4;24(3):1003. doi: 10.3390/s24031003.


DOI:10.3390/s24031003
PMID:38339721
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10857015/
Abstract

The use of radar technology for non-contact measurement of vital parameters is increasingly being examined in scientific studies. Based on a systematic literature search in the PubMed, German National Library, Austrian Library Network (Union Catalog), Swiss National Library and Common Library Network databases, the accuracy of heart rate and/or respiratory rate measurements by means of radar technology was analyzed. In 37% of the included studies on the measurement of the respiratory rate and in 48% of those on the measurement of the heart rate, the maximum deviation was 5%. For a tolerated deviation of 10%, the corresponding percentages were 85% and 87%, respectively. However, the quantitative comparability of the results available in the current literature is very limited due to a variety of variables. The elimination of the problem of confounding variables and the continuation of the tendency to focus on the algorithm applied will continue to constitute a central topic of radar-based vital parameter measurement. Promising fields of application of research can be found in particular in areas that require non-contact measurements. This includes infection events, emergency medicine, disaster situations and major catastrophic incidents.

摘要

雷达技术在非接触式生命参数测量中的应用正越来越多地受到科学研究的关注。基于对 PubMed、德国国家图书馆、奥地利图书馆网络(联合目录)、瑞士国家图书馆和公共图书馆网络数据库的系统文献检索,分析了雷达技术测量心率和/或呼吸率的准确性。在关于呼吸率测量的纳入研究中,有 37%的研究和关于心率测量的研究中,最大偏差为 5%。对于可容忍的 10%偏差,相应的百分比分别为 85%和 87%。然而,由于各种变量的存在,当前文献中可用结果的定量可比性非常有限。消除混杂变量问题以及继续关注所应用算法的趋势将继续成为基于雷达的生命参数测量的一个核心主题。有前途的研究应用领域尤其可以在需要非接触式测量的领域找到。这包括感染事件、急诊医学、灾难情况和重大灾难性事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/d8c794eead1c/sensors-24-01003-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/97eb1ede0b4b/sensors-24-01003-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/bf33a07f9e0b/sensors-24-01003-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/bf66f746fc00/sensors-24-01003-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/c095c8938cd7/sensors-24-01003-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/d8c794eead1c/sensors-24-01003-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/97eb1ede0b4b/sensors-24-01003-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/bf33a07f9e0b/sensors-24-01003-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/bf66f746fc00/sensors-24-01003-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/c095c8938cd7/sensors-24-01003-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb73/10857015/d8c794eead1c/sensors-24-01003-g005.jpg

相似文献

[1]
Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology.

Sensors (Basel). 2024-2-4

[2]
Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection.

Sensors (Basel). 2020-3-13

[3]
Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar.

Sensors (Basel). 2024-4-11

[4]
Vital Sign Monitoring Through the Back Using an UWB Impulse Radar With Body Coupled Antennas.

IEEE Trans Biomed Circuits Syst. 2018-4

[5]
[Review on Development of Heart Rate and Respiratory Core Vital Characteristics Monitoring Technology].

Zhongguo Yi Liao Qi Xie Za Zhi. 2021-4-8

[6]
Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on healthy adults and application to neonatal monitoring at an NICU.

Comput Methods Programs Biomed. 2022-11

[7]
Separation of thoracic and abdominal measurements in neonatal vital sign monitoring using radar vision fusion system.

Sci Rep. 2025-4-6

[8]
Feasibility of Radar Vital Sign Monitoring Using Multiple Range Bin Selection.

Sensors (Basel). 2025-4-20

[9]
Analysis of Spectral Estimation Algorithms for Accurate Heart Rate and Respiration Rate Estimation Using an Ultra-Wideband Radar Sensor.

IEEE Rev Biomed Eng. 2024

[10]
[The study on non-contact detection of breathing and heartbeat based on radar principles].

Zhongguo Yi Liao Qi Xie Za Zhi. 2001-5

引用本文的文献

[1]
A noncontact vital sign sensor demonstrating a strong correlation with an electrocardiogram electrode and a CO sensor.

Sci Rep. 2025-5-19

[2]
Feasibility of Radar Vital Sign Monitoring Using Multiple Range Bin Selection.

Sensors (Basel). 2025-4-20

[3]
Radar-Based Heart Cardiac Activity Measurements: A Review.

Sensors (Basel). 2024-11-29

[4]
Remote Monitoring of Sympathovagal Imbalance During Sleep and Its Implications in Cardiovascular Risk Assessment: A Systematic Review.

Bioengineering (Basel). 2024-10-19

本文引用的文献

[1]
Continuous monitoring is superior to manual measurements in detecting vital sign deviations in patients with COVID-19.

Acta Anaesthesiol Scand. 2023-5

[2]
Real-Time Heart Rate Detection Method Based on 77 GHz FMCW Radar.

Micromachines (Basel). 2022-11-11

[3]
Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW Radar.

Sensors (Basel). 2022-10-25

[4]
Noncontact Sleeping Heartrate Monitoring Method Using Continuous-Wave Doppler Radar Based on the Difference Quadratic Sum Demodulation and Search Algorithm.

Sensors (Basel). 2022-10-9

[5]
Real-Time Non-Contact Millimeter Wave Radar-Based Vital Sign Detection.

Sensors (Basel). 2022-10-6

[6]
High-Precision Vital Signs Monitoring Method Using a FMCW Millimeter-Wave Sensor.

Sensors (Basel). 2022-10-5

[7]
Analysis of Spectral Estimation Algorithms for Accurate Heart Rate and Respiration Rate Estimation Using an Ultra-Wideband Radar Sensor.

IEEE Rev Biomed Eng. 2024

[8]
Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on healthy adults and application to neonatal monitoring at an NICU.

Comput Methods Programs Biomed. 2022-11

[9]
VitRad: A low-cost continuous wave Doppler radar system with 3D-printed horn antennas for human vital sign detection.

HardwareX. 2022-9-20

[10]
Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD.

Sensors (Basel). 2022-9-6

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