Your browser doesn't support javascript.
loading
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.
Tzou, Shiow-Jyu; Chen, I-Hung; Chu, Tian-Huei; Chian, De-Ming; Wang, Fu-Kang; Lee, Yung-Kuo; Ko, Chou-Yuan.
Afiliação
  • Tzou SJ; Medical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
  • Chen IH; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.
  • Chu TH; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.
  • Chian DM; Division of Nephrology, Pingtung Branch of Kaohsiung Armed Forces General Hospital, Pingtung, Taiwan.
  • Wang FK; Medical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
  • Lee YK; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.
  • Ko CY; Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan.
Med Sci Monit ; 29: e939949, 2023 May 15.
Article em En | MEDLINE | ID: mdl-37183387
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Med Sci Monit Assunto da revista: MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Med Sci Monit Assunto da revista: MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan