Enhanced Vital Parameter Estimation Using Short-Range Radars with Advanced Motion Compensation and Super-Resolution...

Area of Science:

• Biomedical Engineering
• Signal Processing
• Radar Systems

Background:

• Short-range radars like impulse-radio ultra-wideband (IR-UWB) and frequency-modulated continuous-wave (FMCW) are used for vital sign monitoring.
• Existing methods struggle with motion artifacts, distorting vital rate estimation (respiratory rate - RR, cardiac rate - CR).

Purpose of the Study:

• To propose an efficient motion compensation (MOCOM) method for accurate RR and CR estimation.
• To enhance vital sign monitoring using super-resolution techniques.

Main Methods:

• Developed a novel method incorporating MOCOM to model and compensate for radar signal phase distortions caused by motion.
• Applied super-resolution techniques separately to RR and CR estimation for improved accuracy.

Main Results:

• The proposed MOCOM method effectively compensates for motion-induced signal distortions.
• Experimental validation using IR-UWB and FMCW radars confirmed accurate RR and CR estimation despite body movement.
• Super-resolution application further boosted the accuracy of vital rate measurements.

Conclusions:

• The proposed MOCOM technique significantly improves the accuracy of radar-based vital sign monitoring.
• This method offers a robust solution for estimating respiratory and cardiac rates in the presence of subject motion.
• The findings pave the way for more reliable non-contact vital sign assessment.