Literature DB >> 24211989

Non-contact physiological signal detection using continuous wave Doppler radar.

Dengyu Qiao1, Tan He, Boping Hu, Ye Li.   

Abstract

The aim of this work is to show non-contact physiological signal monitoring system based on continuous-wave (CW) Doppler radar, which is becoming highly attractive in the field of health care monitoring of elderly people. Two radar signal processing methods were introduced in this paper: one to extract respiration and heart rates of a single person and the other to separate mixed respiration signals. To verify the validity of the methods, physiological signal is obtained from stationary human subjects using a CW Doppler radar unit. The sensor operating at 24 GHz is located 0.5 meter away from the subject. The simulation results show that the respiration and heart rates are clearly extracted, and the mixed respiration signals are successfully separated. Finally, reference respiration and heart rate signals are measured by an ECG monitor and compared with the results tracked by the CW Doppler radar monitoring system.

Entities:  

Keywords:  Physiological signal detection; continuous wave Doppler radar; non-contact

Mesh:

Year:  2014        PMID: 24211989     DOI: 10.3233/BME-130896

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  2 in total

1.  Camera-Based, Non-Contact, Vital-Signs Monitoring Technology May Provide a Way for the Early Prevention of SIDS in Infants.

Authors:  Fang Zhao; Meng Li; Zhongyi Jiang; Joe Z Tsien; Zhaohui Lu
Journal:  Front Neurol       Date:  2016-12-23       Impact factor: 4.003

2.  Non-contact monitoring of agitation and use of a sheltering device in patients with dementia in emergency departments: a feasibility study.

Authors:  Lisa Kroll; Nikolaus Böhning; Heidi Müßigbrodt; Maria Stahl; Pavel Halkin; Birgit Liehr; Christine Grunow; Borjana Kujumdshieva-Böhning; Christian Freise; Werner Hopfenmüller; Wolfgang Friesdorf; Maria Jockers-Scherübl; Rajan Somasundaram
Journal:  BMC Psychiatry       Date:  2020-04-15       Impact factor: 3.630

  2 in total

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