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Recently, noncontact vital sign monitors have attracted attention because of issues related to the transmission of contagious diseases. We developed a real-time vital sign monitor using impulse-radio ultrawideband (IR-UWB) radar with embedded processors and software; we then evaluated its accuracy in measuring heart rate (HR) and respiratory rate (RR) and investigated the factors affecting the accuracy of the radar-based measurements. In 50 patients visiting a cardiology clinic, HR and RR were measured using IR-UWB radar simultaneously with electrocardiography and capnometry. All patients underwent HR and RR measurements in 2 postures-supine and sitting-for 2 min each. There was a high agreement between the RR measured using radar and capnometry (concordance correlation coefficient [CCC] 0.925 [0.919-0.926]; upper and lower limits of agreement [LOA], - 2.21 and 3.90 breaths/min). The HR measured using radar was also in close agreement with the value measured using electrocardiography (CCC 0.749 [0.738-0.760]; upper and lower LOA, - 12.78 and 15.04 beats/min). Linear mixed effect models showed that the sitting position and an HR < 70 bpm were associated with an increase in the absolute biases of the HR, whereas the sitting position and an RR < 18 breaths/min were associated with an increase in the absolute biases of the RR. The IR-UWB radar sensor with embedded processors and software can measure the RR and HR in real time with high precision. The sitting position and a low RR or HR were associated with the accuracy of RR and HR measurement, respectively, using IR-UWB radar.
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http://dx.doi.org/10.1038/s41598-021-03069-2 | DOI Listing |
Annu Int Conf IEEE Eng Med Biol Soc
July 2024
This study introduces the application of impulse radio ultra-wideband radar (IR-UWB) for person identification using the micro-Doppler signature of human gait. A signal processing framework is developed to extract the features from the spectrogram, including the physically interpretable features and the features derived through Principal Component Analysis (PCA). In addition, a cross-entropy-based approach was employed to quantify uncertainties in the radar classification model, enhancing reliability in the classifications.
View Article and Find Full Text PDFSci Rep
November 2024
Missouri Institute for Defense and Energy, University of Missouri-Kansas City, Kansas City, MO, 64110, USA.
Sensors (Basel)
October 2024
Department of Maritime ICT & Mobility Research, Korea Institute of Ocean Science & Technology, 385, Haeyang-ro, Yeongdo-gu, Busan 49111, Republic of Korea.
Sensors (Basel)
September 2024
Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Mental distress-induced imbalances in autonomic nervous system activities adversely affect the electrical stability of the cardiac system, with heart rate variability (HRV) identified as a related indicator. Traditional HRV measurements use electrocardiography (ECG), but impulse radio ultra-wideband (IR-UWB) radar has shown potential in HRV measurement, although it is rarely applied to psychological studies. This study aimed to assess early high levels of mental distress using HRV indices obtained using radar through modified signal processing tailored to reduce phase noise and improve positional accuracy.
View Article and Find Full Text PDFSensors (Basel)
August 2024
Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin County 64002, Taiwan.
This paper presents a real-time and non-contact dual-mode embedded impulse-radio (IR) ultra-wideband (UWB) radar system designed for microwave imaging and vital sign applications. The system is fully customized and composed of three main components, an RF front-end transmission block, an analog signal processing (ASP) block, and a digital processing block, which are integrated in an embedded system. The ASP block enables dual-path receiving for image construction and vital sign detection, while the digital part deals with the inverse scattering and direct current (DC) offset issues.
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