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
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;
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
DOI :
10.1109/BHI.2012.6211705