A Self-Calibrating Radar Sensor System for Measuring Vital Signs

Ming Chun Huang, Jason J. Liu, Wenyao Xu, Changzhan Gu, Changzhi Li, Majid Sarrafzadeh

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

Vital signs (i.e., heartbeat and respiration) are crucial physiological signals that are useful in numerous medical applications. The process of measuring these signals should be simple, reliable, and comfortable for patients. In this paper, a noncontact self-calibrating vital signs monitoring system based on the Doppler radar is presented. The system hardware and software were designed with a four-tiered layer structure. To enable accurate vital signs measurement, baseband signals in the radar sensor were modeled and a framework for signal demodulation was proposed. Specifically, a signal model identification method was formulated into a quadratically constrained ℓ1 minimization problem and solved using the upper bound and linear matrix inequality (LMI) relaxations. The performance of the proposed system was comprehensively evaluated using three experimental sets, and the results indicated that this system can be used to effectively measure human vital signs.

Original languageEnglish
Article number7110401
Pages (from-to)352-363
Number of pages12
JournalIEEE Transactions on Biomedical Circuits and Systems
Volume10
Issue number2
DOIs
StatePublished - Apr 2016

Keywords

  • Calibration
  • Doppler radar
  • vital sign measurement

Fingerprint

Dive into the research topics of 'A Self-Calibrating Radar Sensor System for Measuring Vital Signs'. Together they form a unique fingerprint.

Cite this