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A Feasibility Study of Remote Non-Contact Vital Signs (NCVS) Monitoring in a Clinic Using a Novel Sensor Realized by Software-Defined Radio (SDR).
Liu, Yang; Sweeney, Clint; Mayeda, Jill C; Lopez, Jerry; Lie, Paul E; Nguyen, Tam Q; Lie, Donald Y C.
  • Liu Y; Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79430, USA.
  • Sweeney C; Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79430, USA.
  • Mayeda JC; Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79430, USA.
  • Lopez J; Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79430, USA.
  • Lie PE; Texas Tech University Health Sciences Center (TTUHSC), Texas Tech University, Lubbock, TX 79430, USA.
  • Nguyen TQ; Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79430, USA.
  • Lie DYC; Texas Tech University Health Sciences Center (TTUHSC), Texas Tech University, Lubbock, TX 79430, USA.
Biosensors (Basel) ; 13(2)2023 Jan 27.
Article in English | MEDLINE | ID: covidwho-2215584
ABSTRACT
The COVID-19 outbreak has caused panic around the world as it is highly infectious and has caused about 5 million deaths globally. A robust wireless non-contact vital signs (NCVS) sensor system that can continuously monitor the respiration rate (RR) and heart rate (HR) of patients clinically and remotely with high accuracy can be very attractive to healthcare workers (HCWs), as such a system can not only avoid HCWs' close contact with people with COVID-19 to reduce the infection rate, but also be used on patients quarantined at home for telemedicine and wireless acute-care. Therefore, we developed a custom Doppler-based NCVS radar sensor system operating at 2.4 GHz using a software-defined radio (SDR) technology, and the novel biosensor system has achieved impressive real-time RR/HR monitoring accuracies within approximately 0.5/3 breath/beat per minute (BPM) on student volunteers tested in our engineering labs. To further test the sensor system's feasibility for clinical use, we applied and obtained an Internal Review Board (IRB) approval from Texas Tech University Health Sciences Center (TTUHSC) and have used this NCVS monitoring system in a doctor's clinic at TTUHSC; following testing on 20 actual patients for a small-scale clinical trial, we have found that the system was still able to achieve good NCVS monitoring accuracies within ~0.5/10 BPM across 20 patients of various weight, height and age. These results suggest our custom-designed NCVS monitoring system may be feasible for future clinical use to help combatting COVID-19 and other infectious diseases.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Randomized controlled trials Limits: Humans Language: English Year: 2023 Document Type: Article Affiliation country: Bios13020191

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Randomized controlled trials Limits: Humans Language: English Year: 2023 Document Type: Article Affiliation country: Bios13020191