Improved VMD Based Remote Heartbeat Estimation Utilizing 60GHz mmWave Radar

TL;DR

This paper presents an improved VMD-based method for non-contact heartbeat estimation using 60GHz mmWave radar, enhancing accuracy through adaptive parameter optimization and validated on 18 subjects.

Contribution

It introduces an enhanced VMD signal decomposition approach with adaptive parameter tuning for more accurate heartbeat estimation from mmWave radar signals.

Findings

Validated on 18 subjects showing improved accuracy

Compared with three baseline methods, demonstrating superior performance

Effective adaptive optimization of VMD parameters

Abstract

This study introduces an improved VMD based signal decomposition methodology for non-contact heartbeat estimation using millimeterwave (mmWave) radar. Specifically, we first analyze the signal model of the mmWave radar system. The Variational Mode Decomposition (VMD) integrated with the Newton-Raphson-based optimizer (NRBO) algorithm are sequentially utilized for cardiac mechanic signal (CMS) reconstruction. The estimation accuracy is enhanced by adaptively optimizing the VMD parameters including intrinsic mode functions (IMFs) and penalty factor. Eventually, the experimental results of 18 subjects validate the effectiveness of the proposed method by comparing with three commonly used baselines.