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Keywords = random body movement cancellation

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19 pages, 5668 KB  
Review
Motion Cancellation Technique of Vital Signal Detectors Based on Continuous-Wave Radar Technology
by Min-Seok Kwon, Yuna Park, Joo-Eun Park, Geon-Haeng Lee, Sang-Hoon Jeon, Jae-Hyun Lee, Joon-Hyuk Yoon and Jong-Ryul Yang
Sensors 2025, 25(7), 2156; https://doi.org/10.3390/s25072156 - 28 Mar 2025
Cited by 5 | Viewed by 3536
Abstract
Continuous-wave (CW) radar sensors can remotely measure respiration and heartbeat by detecting the periodic movements of internal organs. However, external disturbances, such as random body motion (RBM) or environmental interference, significantly degrade the signal-to-noise ratio (SNR) and reduce the accuracy of vital sign [...] Read more.
Continuous-wave (CW) radar sensors can remotely measure respiration and heartbeat by detecting the periodic movements of internal organs. However, external disturbances, such as random body motion (RBM) or environmental interference, significantly degrade the signal-to-noise ratio (SNR) and reduce the accuracy of vital sign detection. The various motion cancellation techniques that have been proposed to enhance robustness against RBMs include improvements in radar architecture, advanced signal processing algorithms, and studies on electromagnetic propagation characteristics. This paper provides a comprehensive review of recent advancements in motion cancellation techniques for CW radar-based vital sign detectors and discusses future research directions to improve detection performance in dynamic environments. Full article
(This article belongs to the Special Issue Sensors for Vital Signs Monitoring—2nd Edition)
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17 pages, 3743 KB  
Article
Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion
by Yu Rong, Arindam Dutta, Alex Chiriyath and Daniel W. Bliss
Sensors 2021, 21(5), 1774; https://doi.org/10.3390/s21051774 - 4 Mar 2021
Cited by 41 | Viewed by 7353
Abstract
Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few [...] Read more.
Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few decades ago. However, investigation regarding the robustness of radar-based vital-sign monitoring (VSM) is not available in the current radar literature. In this paper, we aim to close this gap by presenting an extensive experimental study of vital-sign radar approach. We consider diversity in test subjects, fitness levels, poses/postures, and, more importantly, random body movement (RBM) in the study. We discuss some new insights that lead to robust radar heart-rate (HR) measurements. A novel active motion cancellation signal-processing technique is introduced, exploiting dual ultra-wideband (UWB) radar system for motion-tolerant HR measurements. Additionally, we propose a spectral pruning routine to enhance HR estimation performance. We validate the proposed method theoretically and experimentally. Totally, we record and analyze about 3500 seconds of radar measurements from multiple human subjects. Full article
(This article belongs to the Special Issue Contactless Sensors for Healthcare)
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17 pages, 8318 KB  
Article
Vital Sign Detection during Large-Scale and Fast Body Movements Based on an Adaptive Noise Cancellation Algorithm Using a Single Doppler Radar Sensor
by Zi-Kai Yang, Heping Shi, Sheng Zhao and Xiang-Dong Huang
Sensors 2020, 20(15), 4183; https://doi.org/10.3390/s20154183 - 28 Jul 2020
Cited by 43 | Viewed by 6578
Abstract
The non-contact detection of human vital signs (i.e., respiration rate (RR) and heartbeat rate (HR)) using a continuous-wave (CW) Doppler radar sensor has great potential for intensive care monitoring, home healthcare, etc. However, large-scale and fast random body movement (RBM) has been a [...] Read more.
The non-contact detection of human vital signs (i.e., respiration rate (RR) and heartbeat rate (HR)) using a continuous-wave (CW) Doppler radar sensor has great potential for intensive care monitoring, home healthcare, etc. However, large-scale and fast random body movement (RBM) has been a bottleneck for vital sign detection using a single CW Doppler radar. To break this dilemma, this study proposed a scheme combining adaptive noise cancellation (ANC) with polynomial fitting, which could retrieve the weak components of both respiration and heartbeat signals that were submerged under serious RBM interference. In addition, the new-type discrete cosine transform (N-DCT) was introduced to improve the detection accuracy. This scheme was first verified using a numerical simulation. Then, experiments utilizing a 10-GHz Doppler radar sensor that was built from general-purpose radio frequency (RF) and communication instruments were also carried out. No extra RF/microwave components and modules were needed, and neither was a printed circuit board nor an integrated-chip design required. The experimental results showed that both the RR and HR could still be extracted during large-scale and fast body movements using only a single Doppler radar sensor because the RBM noises could be greatly eliminated by utilizing the proposed ANC algorithm. Full article
(This article belongs to the Special Issue Biomedical Signal Processing)
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