Cardiogram Detection with a Millimeter-wave Radar Sensor

Shuqin Dong, Yi Zhang, Chao Ma, Qinyi Lv, Changzhi Li, Lixin Ran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


In this work, we proposed and verified that a noncontact measurement to the human cardiogram could be implemented based on the inner connection between the bioelectrical signals that control the diastole and systole of human hearts and the volume change of atriums and ventricles taking place at the surface of skin. A K-band, board-integrated, highly linear and sensitive Doppler radar sensor was designed and implemented to detected such weak motions. Experimental results showed that by linearly retrieving the Doppler information from the signals scattered by the skin, the cardiogram can be measured. While the correspondence between this kind of cardiogram and the conventional ECG can be observed. And the cardiogram also includes velocity and strength information of the atrial and ventricular contractions and relaxations. Such characteristics are highly desirable for hospitalization and personal daily healthcare.

Original languageEnglish
Title of host publicationRWW 2020 - 2020 IEEE Radio and Wireless Symposium
PublisherIEEE Computer Society
Number of pages3
ISBN (Electronic)9781728111209
StatePublished - Jan 2020
Event2020 IEEE Radio and Wireless Symposium, RWW 2020 - San Antonio, United States
Duration: Jan 26 2020Jan 29 2020

Publication series

NameIEEE Radio and Wireless Symposium, RWS
ISSN (Print)2164-2958
ISSN (Electronic)2164-2974


Conference2020 IEEE Radio and Wireless Symposium, RWW 2020
Country/TerritoryUnited States
CitySan Antonio


  • Cardiac motion
  • Doppler radar sensor
  • human cardiogram
  • random sample consensus


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