TY - JOUR
T1 - Simultaneous measurements of multiple vital signs using non-contact frequency modulated continuous wave radar monitoring
AU - Al Ahmad, Mahmoud
AU - Joyce Among Olule, Lillian
N1 - Funding Information:
The authors would like to acknowledge the help and support received from Elías Antolinos García, Polytechnic University of Madrid (Universidad Politécnica de Madrid) in conducting the measurements.
Publisher Copyright:
© 2023 THE AUTHORS
PY - 2023/5/15
Y1 - 2023/5/15
N2 - In this study, a short-range mmWave radar is proposed for obtaining non-contact, non-invasive, and high-accuracy measurements of multiple vital signs. The system can extract the heart rate (HR), respiration rate (RR), and blood pressure (BP). A compact radar sensing unit operating at 122 GHz was used to transmit and receive signals reflected off a patient's chest under breathing and non-breathing (breath-holding) conditions. Algorithms were developed for extracting the BP values. The BP values were determined as 129/80 and 129/83 for the breathing and non-breathing signals, respectively. Furthermore, the extracted data were used to calculate the HR and RR based on the period of each data cycle and a fast Fourier transform (FFT). Both techniques yielded an RR of 12 breaths per minute. The HR values for breathing and non-breathing were 68 and 53 beats per minute, respectively. Furthermore, the HRs computed from the FFT of the breathing and non-breathing signals were 55 and 53 beats per minute, respectively. All values were consistent with the reference values. Thus, the system shows feasibility for low-cost, highly accurate, and continuous patient monitoring.
AB - In this study, a short-range mmWave radar is proposed for obtaining non-contact, non-invasive, and high-accuracy measurements of multiple vital signs. The system can extract the heart rate (HR), respiration rate (RR), and blood pressure (BP). A compact radar sensing unit operating at 122 GHz was used to transmit and receive signals reflected off a patient's chest under breathing and non-breathing (breath-holding) conditions. Algorithms were developed for extracting the BP values. The BP values were determined as 129/80 and 129/83 for the breathing and non-breathing signals, respectively. Furthermore, the extracted data were used to calculate the HR and RR based on the period of each data cycle and a fast Fourier transform (FFT). Both techniques yielded an RR of 12 breaths per minute. The HR values for breathing and non-breathing were 68 and 53 beats per minute, respectively. Furthermore, the HRs computed from the FFT of the breathing and non-breathing signals were 55 and 53 beats per minute, respectively. All values were consistent with the reference values. Thus, the system shows feasibility for low-cost, highly accurate, and continuous patient monitoring.
KW - Blood pressure
KW - Heart rate
KW - Radar
KW - Respiration rate
KW - Vital signs monitoring
KW - mmWave
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U2 - 10.1016/j.aej.2023.03.060
DO - 10.1016/j.aej.2023.03.060
M3 - Article
AN - SCOPUS:85151712948
SN - 1110-0168
VL - 71
SP - 609
EP - 617
JO - AEJ - Alexandria Engineering Journal
JF - AEJ - Alexandria Engineering Journal
ER -