Summary
International Conference on Emerging Technologies for Communications
2020
Session Number:A2
Session:
Number:A2-5
Multi-directional Vital Signs Monitoring on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise using mm-Wave FMCW Radar
Yaokun Hu, Shunsuke Sato, Takeshi Toda,
pp.-
Publication Date:2020/12/2
Online ISSN:2188-5079
PDF download
Summary:
Vital signs measurement based on phase analysis for mm-wave FMCW radar contains various kinds of noise. Furthermore, the breathing and heartbeat frequencies are very close, so the heart rate is interfered with by the harmonic of the breathing signal, and the band-pass filter cannot solve it. In this paper, a method based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) for remote multi-directional vital signs monitoring is proposed, addressing the “mode mixing” problem of EMD and improved SNR. The experimental results show that the proposed method cannot only accurately extract heartbeat signals with high SNR from the front direction, but the heart rate also can be measured from the ceiling when volunteers are sitting.