A novel vital-sign sensing algorithm for multiple subjects based on 24-GHz FMCW Doppler radar

Hyunjae Lee, Byung Hyun Kim, Jin Kwan Park, Jong Gwan Yook

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)


A novel non-contact vital-sign sensing algorithm for use in cases of multiple subjects is proposed. The approach uses a 24 GHz frequency-modulated continuous-wave Doppler radar with the parametric spectral estimation method. Doppler processing and spectral estimation are concurrently implemented to detect vital signs from more than one subject, revealing excellent results. The parametric spectral estimation method is utilized to clearly identify multiple targets, making it possible to distinguish multiple targets located less than 40 cm apart, which is beyond the limit of the theoretical range resolution. Fourier transformation is used to extract phase information, and the result is combined with the spectral estimation result. To eliminate mutual interference, the range integration is performed when combining the range and phase information. By considering breathing and heartbeat periodicity, the proposed algorithm can accurately extract vital signs in real time by applying an auto-regressive algorithm. The capability of a contactless and unobtrusive vital sign measurement with a millimeter wave radar system has innumerable applications, such as remote patient monitoring, emergency surveillance, and personal health care.

Original languageEnglish
Article number1237
JournalRemote Sensing
Issue number10
Publication statusPublished - 2019 May 1

Bibliographical note

Funding Information:
Acknowledgments: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2017R1A2B2011724).

Publisher Copyright:
© 2019 by the authors.

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)


Dive into the research topics of 'A novel vital-sign sensing algorithm for multiple subjects based on 24-GHz FMCW Doppler radar'. Together they form a unique fingerprint.

Cite this