Doppler Radar Physiological Assessments
John Kiriazi
QCT RF Systems, Qualcomm Inc., San Diego, California, United States
Search for more papers by this authorOlga Boric-Lubecke
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorShuhei Yamada
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorVictor M. Lubecke
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorWansuree Massagram
Department of Computer Science and Information Technology, Naresuan University, Phitsanulok, Thailand
Search for more papers by this authorJohn Kiriazi
QCT RF Systems, Qualcomm Inc., San Diego, California, United States
Search for more papers by this authorOlga Boric-Lubecke
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorShuhei Yamada
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorVictor M. Lubecke
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorWansuree Massagram
Department of Computer Science and Information Technology, Naresuan University, Phitsanulok, Thailand
Search for more papers by this authorOlga Boric-Lubecke
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorVictor M. Lubecke
Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, United States
Search for more papers by this authorAmy D. Droitcour
Wave 80 Biosciences, Inc., San Francisco, California, United States
Search for more papers by this authorByung-Kwon Park
DAS Sensor SW Engineering Team, Hyundai Mobis Mechatronics R&D Center, Gyeonggi-Do, South Korea
Search for more papers by this authorAditya Singh
University of Hawaii Neuro-science and MRI research Program, John A. Burns School of Medicine, Honolulu, Hawaii, United States
Search for more papers by this authorSummary
The Doppler radar detects all motion in the radar field of view, through detection of phase variations in the received signal. The challenge in physiological monitoring via Doppler radar is to effectively isolate the subject's random fidgeting physiological motion. The percentage of measurement interval containing significant motion may be used as a measure of subject rest/activity cycle, determining the degree of restlessness, for example, actigraphy. Phase demodulation provides the output proportional to chest displacement, and this information can be further analyzed to extract respiratory and heart rates, analyze the shape of respiratory signals, assess heart rate variability (HRV) parameters, and estimate displacement amplitude and related respiratory volume. The magnitude of received RF power can be analyzed to determine cardiopulmonary radar cross section (RCS) and further determine subject orientation. The variation of RCS with size and curvature of the target surface is the basis for detecting orientation of a human subject.
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