Evidence map›Paper›PMID 37183387›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Accuracy of Self-Injection Locking Radar System for Vital Signs Detection During the COVID-19 Pandemic at a Hospital in Taiwan: Measuring Vital Signs Accurately with SIL Radar for Hospital Healthcare.

Shiow-Jyu Tzou, I-Hung Chen, Tian-Huei Chu, De-Ming Chian, Fu-Kang Wang, Yung-Kuo Lee, Chou-Yuan Ko

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shiow-Jyu TzouMedical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
I-Hung ChenInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.
Tian-Huei ChuMedical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
De-Ming ChianInstitute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan.
Fu-Kang WangDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan.
Yung-Kuo LeeMedical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
Chou-Yuan KoInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Self-injection locking (SIL) radar uses continuous-wave radar and an injection-locked oscillator-based frequency discriminator that receives and demodulates radar signals remotely to monitor vital signs. This study aimed to compare SIL radar with traditional electrocardiogram (ECG) measurements to monitor respiratory rate (RR) and heartbeat rate (HR) during the COVID-19 pandemic at a single hospital in Taiwan. MATERIAL AND METHODS We recruited 31 hospital staff members (16 males and 15 females) for respiratory rates (RR) and heartbeat rates (HR) detection. Data acquisition with the SIL radar and traditional ECG was performed simultaneously, and the accuracy of the measurements was evaluated using Bland-Altman analysis. RESULTS To analyze the results, participates were divided into 2 groups (individual subject and multiple subjects) by gender (male and female), or 4 groups (underweight, normal weight, overweight, and obesity) by body mass index (BMI). The results were analyzed using mean bias errors (MBE) and limits of agreement (LOA) with a 95% confidence interval. Bland-Altman plots were utilized to illustrate the difference between the SIL radar and ECG monitor. In all BMI groups, results of RR were more accurate than HR, with a smaller MBE. Furthermore, RR and HR measurements of the male groups were more accurate than those of the female groups. CONCLUSIONS We demonstrated that non-contact SIL radar could be used to accurately measure HR and RR for hospital healthcare during the COVID-19 pandemic.

Indexed as

COVID-19Signal Processing, Computer-AssistedAlgorithmsFemaleHeart RateHospitalsHumansMaleMonitoring, PhysiologicPandemicsRadarRespiratory RateTaiwanVital Signs

Identifiers

PMID37183387
PMCPMC10197972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.