TY - JOUR
T1 - Doppler radar remote sensing of respiratory function
AU - Ishrak, Mohammad Shadman
AU - Cai, Fulin
AU - Islam, Shekh Md Mahmudul
AU - Borić-Lubecke, Olga
AU - Wu, Teresa
AU - Lubecke, Victor M.
N1 - Publisher Copyright:
Copyright © 2023 Ishrak, Cai, Islam, Borić-Lubecke, Wu and Lubecke.
PY - 2023
Y1 - 2023
N2 - Doppler radar remote sensing of torso kinematics can provide an indirect measure of cardiopulmonary function. Motion at the human body surface due to heart and lung activity has been successfully used to characterize such measures as respiratory rate and depth, obstructive sleep apnea, and even the identity of an individual subject. For a sedentary subject, Doppler radar can track the periodic motion of the portion of the body moving as a result of the respiratory cycle as distinct from other extraneous motions that may occur, to provide a spatial temporal displacement pattern that can be combined with a mathematical model to indirectly assess quantities such as tidal volume, and paradoxical breathing. Furthermore, it has been demonstrated that even healthy respiratory function results in distinct motion patterns between individuals that vary as a function of relative time and depth measures over the body surface during the inhalation/exhalation cycle. Potentially, the biomechanics that results in different measurements between individuals can be further exploited to recognize pathology related to lung ventilation heterogeneity and other respiratory diagnostics.
AB - Doppler radar remote sensing of torso kinematics can provide an indirect measure of cardiopulmonary function. Motion at the human body surface due to heart and lung activity has been successfully used to characterize such measures as respiratory rate and depth, obstructive sleep apnea, and even the identity of an individual subject. For a sedentary subject, Doppler radar can track the periodic motion of the portion of the body moving as a result of the respiratory cycle as distinct from other extraneous motions that may occur, to provide a spatial temporal displacement pattern that can be combined with a mathematical model to indirectly assess quantities such as tidal volume, and paradoxical breathing. Furthermore, it has been demonstrated that even healthy respiratory function results in distinct motion patterns between individuals that vary as a function of relative time and depth measures over the body surface during the inhalation/exhalation cycle. Potentially, the biomechanics that results in different measurements between individuals can be further exploited to recognize pathology related to lung ventilation heterogeneity and other respiratory diagnostics.
KW - Doppler radar
KW - data driven models
KW - identity authentication
KW - machine Learning
KW - respiratory monitoring
KW - respiratory signature
KW - vital signs
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U2 - 10.3389/fphys.2023.1130478
DO - 10.3389/fphys.2023.1130478
M3 - Review article
AN - SCOPUS:85159129356
SN - 1664-042X
VL - 14
JO - Frontiers in Physiology
JF - Frontiers in Physiology
M1 - 1130478
ER -