DocumentCode
2258703
Title
Doppler radar based non-contact multi-person respiration signals separation
Author
Chen, Yannian ; Tan, He ; Hu, Boping ; Li, Ye
Author_Institution
Key Lab. for Health Inf., Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear
2012
fDate
5-7 Jan. 2012
Firstpage
799
Lastpage
802
Abstract
Non-contact vital signs monitoring system based on Doppler radar has been becoming more and more attractive in the field of health care. In this paper, a non-contact wireless health monitoring system is presented. The monitoring system is capable of separating the mixed multi-person respiration signals without physically contacting them by using a continuous wave (CW) Doppler radar system. Experimental results show that the mixed respiration signals are successfully separated by the means of Blind Source Separation processing, and the estimation of respiration rates are very close to the actual values. The system can be used to monitor the respiration and calculate the respiration rates of elderly people when they fall ill or sleep at home.
Keywords
CW radar; Doppler radar; blind source separation; geriatrics; lung; medical signal processing; patient monitoring; pneumodynamics; blind source separation processing; continuous wave Doppler radar system; elderly people; noncontact multiperson respiration signals; noncontact vital sign monitoring system; noncontact wireless health monitoring system; respiration rate estimation; signal separation; sleep; Bismuth; Xenon;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4577-2176-2
Electronic_ISBN
978-1-4577-2175-5
Type
conf
DOI
10.1109/BHI.2012.6211705
Filename
6211705
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