Key result
An efficient method incorporating motion compensation and super-resolution techniques successfully estimated respiratory and cardiac rates using short-range radars even during body movement.
Why the study?
Short-range radars monitoring respiratory and cardiac rates do not account for individual motion, which distorts signal phase and causes inaccurate estimations.
Advanced motion compensation and super-resolution techniques improve the accuracy of vital sign monitoring using short-range radars during body movement.
May enable contactless vital sign monitoring during motion; leaves open clinical validation and adoption.
Various short-range radars, such as impulse-radio ultra-wideband (IR-UWB) and frequency-modulated continuous-wave (FMCW) radars, are currently employed to monitor vital signs, including respiratory and cardiac rates (RRs and CRs). However, these methods do not consider the motion of an individual, which can distort the phase of the reflected signal, leading to inaccurate estimation of RR and CR because of a smeared spectrum. Therefore, motion compensation (MOCOM) is crucial for accurately estimating these vital rates. This paper proposes an efficient method incorporating MOCOM to estimate RR and CR with super-resolution accuracy. The proposed method effectively models the radar signal phase and compensates for motion. Additionally, applying the super-resolution technique to RR and CR separately further increases the estimation accuracy. Experimental results from the IR-UWB and FMCW radars demonstrate that the proposed method successfully estimates RRs and CRs even in the presence of body movement.
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Yoon et al. (2024) studied Vital signs monitoring. Motion compensation (MOCOM) with super-resolution technique was evaluated on Estimation accuracy of respiratory and cardiac rates (RRs and CRs). An efficient method incorporating motion compensation and super-resolution techniques successfully estimated respiratory and cardiac rates using short-range radars even during body movement.
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