2012
DOI: 10.1109/jsen.2011.2124454
|View full text |Cite
|
Sign up to set email alerts
|

Dual-Frequency Technique for Assessment of Cardiopulmonary Effective RCS and Displacement

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
16
0

Year Published

2013
2013
2017
2017

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(17 citation statements)
references
References 14 publications
1
16
0
Order By: Relevance
“…This can be explained by the fact that the motion of the heart translated to the front is much stronger than that to the back. This result also coincides with analysis of cardiopulmonary ERCS in the vital sign monitoring with Doppler radar system [32].…”
Section: Discussionsupporting
confidence: 88%
See 2 more Smart Citations
“…This can be explained by the fact that the motion of the heart translated to the front is much stronger than that to the back. This result also coincides with analysis of cardiopulmonary ERCS in the vital sign monitoring with Doppler radar system [32].…”
Section: Discussionsupporting
confidence: 88%
“…By comparing Figures 9(a) and (b), the respiratory-motion response of face to back position is still weaker than that of face to face position. Different detected displacement magnitude of chest cavity in these two positions may be the reason for this phenomenon [32]. Moreover, Figure 9(c) shows that range of respiratory-motion response along the fast-time is wider than that of other two positions.…”
Section: Discussionmentioning
confidence: 92%
See 1 more Smart Citation
“…If the system contribution A r is known, σ can be estimated from this arc in the complex plane, which was done in 9 and. 15 A straight forward RCS measurement of a person will result in just that; the RCS of the person, but not of the vital signs. A better solution would be to estimate the phase φ m (t) of the moving chest and characterizing it through for instance the phase modulation index h = ∆φ m , where ∆φ m is the peak deviation from the mean phase.…”
Section: Re Immentioning
confidence: 99%
“…Non-contact monitoring of human vital signs using a Doppler radar has been proposed for many decades, Since the 1970s, microwave Doppler radar has drawn attention for new applications on human healthcare [6,7], with initial applications in apnea and respiration monitoring [8], later, wireless heart monitoring [9]. Besides, A large number of clinical experiments show that microwave Doppler radar can accurately monitor cardiopulmonary activity [10], which can replace the conventional cardiopulmonary monitoring products [11,12]. This paper designed a non-contact RF sensor working at 2.45 GHz for non-contact monitoring vital signs [13,14].…”
Section: Introductionmentioning
confidence: 99%