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A Noncontact Vital Signs (NCVS) System for Potential Patient Monitoring Enabled by Robust Software Defined Radio (SDR)
Y. Liu1, C. Sweeney1, J. Mayeda1, J. Hawkins1, S. Rojas1, P.E. Lie2, T.Q. Nguyen3 and D.Y.C. Lie3*
1Dept. of Electrical & Computer Eng., Texas Tech University, Lubbock, Texas, USA
2Dept. of Otolaryngology/Surgery, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
3Dept. of Electrical & Computer Eng., Texas Tech University, Lubbock, Texas, USA/ Dept. of Otolaryngology/Surgery, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
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Abstract:
This research proposes a robust non-contact vital signs (NCVS) sensor system for continuously monitoring the human respiration rate (RR) and heart rate (HR) in a distance of around1.3 m. The novel Doppler-based NCVS sensor system is realized using an SDR (software defined radio) unit with optimized transmit/receive gain in commercial broadband, which filters intermediate frequency (IF) and operates at 2.4 GHz ISM band using a pair of small PCB antennas. When compared with the vital signs data measured by traditional contact-based sensors, the NCVS sensing system demonstrates excellent accuracy in real-time RR/HR monitoring within 0.5/3 BPM (breath/beat per minute). We have obtained an IRB (Internal Review Board) approval to start a small clinical trial at Texas Tech University Health Sciences Center (TTUHSC) soon, hoping to use this system to effectively monitor vital signs of COVID-19 patients and to help telehealth delivery in the post-COVID-19 era.
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Keywords: Biosensor; Intermediate Frequency (IF); Non-contact Vital Signs (NCVS); Respiration Rate (RR); Software Defined Radio (SDR)
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Received:N/A; Revised:N/A; Accepted:N/A; Published:September 30, 2021
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*Corresponding author; e-mail: Donald.Lie@ttu.edu
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Citation:Liu, Y.; Sweeney, C.; Mayeda, J.; Hawkins, J.; Rojas, S.; Lie, P.; Nguyen, T.; Lie, D.A Noncontact Vital Signs (NCVS) System for Potential Patient Monitoring Enabled by Robust Software Defined Radio (SDR). International Journal of Clinical Medicine and Bioengineering 2021, 1, 3-11. https://doi.org/10.35745/ijcmb2021v01.01.0002
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Copyright: ©
2021
The Author(s). Published with license by IIKII, Singapore. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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