Key result
A microwave reflectometer with appropriate filtering and cross-correlation algorithms enabled non-contact, real-time measurement of instantaneous heart rate and heart rate variability through clothing.
Why the study?
Elimination of noise components due to random human movement has been the biggest issue for microwave vital signal measurement.
Can microwave reflectometry accurately measure real-time heart rate and heart rate variability without contact?
Can microwave reflectometry accurately measure real-time heart rate and heart rate variability without contact?
Microwave reflectometry combined with novel signal processing algorithms allows for non-contact, real-time monitoring of heart rate and heart rate variability, potentially useful for daily health maintenance.
Non-contact microwave HR/HRV monitoring is feasible; leaves open clinical validation before any practice change.
In this paper, we present noncontact and noninvasive vital signal detection using a microwave reflectometer. Elimination of noise components due to random movement of human subjects has been the biggest issue for microwave measurement. Appropriate filtering, amplitude control of the reflectometer signal, and cross correlation among multiple reflectometers together with new algorithms have enabled motion artifact elimination, signal peak detection, and data processing for various parameters related to heart rate (HR) and heart rate variability (HRV). We focus here on the real time measurements of instantaneous HR and HRV for practical use. The evaluation by microwave reflectometry is completely noninvasive and feasible even through clothing, which is extremely effective for health maintenance in daily life as well as for preventing sudden death related to, for example, coronary heart disease and ventricular arrhythmia.
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Mase et al. (2020) studied this question. Microwave reflectometry was evaluated on Real-time measurement of instantaneous heart rate and heart rate variability. A microwave reflectometer with appropriate filtering and cross-correlation algorithms enabled non-contact, real-time measurement of instantaneous heart rate and heart rate variability through clothing.
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