| Autor: |
Tzou SJ; Medical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan., Chen IH; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.; Division of Nephrology, Pingtung Branch of Kaohsiung Armed Forces General Hospital, Pingtung, Taiwan., Chu TH; Medical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan., Chian DM; Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan., Wang FK; Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan., Lee YK; Medical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan., Ko CY; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan. |
| Abstrakt: |
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. |
