Cardiopulmonary Signal Detection Based on Magnetic Induction
Joint Authors
Xu, Bin
Yang, Dan
Qiao, Hongyu
Wang, Xu
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Cardiopulmonary signal contains vital and rich physiological information, which is very useful for clinical diagnosis and home healthcare.
Convectional monitoring methods still need uncomfortable sensors or are expensive for nonprofessional common consumers.
In this paper, we proposed a cardiopulmonary signal detection method based on electromagnetic induction.
Based on thoracic volume variation affecting the biological impedance, which can be detected by magnetic induction, our idea is to develop a not complicated and practical measuring platform and exploit the intrinsic properties of cardiopulmonary signals with respiratory and heart rate.
We have some theoretical analysis about the relationship of thoracic volume with biological impedance, sensor-head parameters, and the optimal measuring position.
Then a whole measuring system has been designed and evaluated.
The respiratory and heart rate obtained from the proposed method are not significantly different from the reference method (noncontact BCG).
American Psychological Association (APA)
Yang, Dan& Xu, Bin& Qiao, Hongyu& Wang, Xu. 2017. Cardiopulmonary Signal Detection Based on Magnetic Induction. Journal of Sensors،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1186762
Modern Language Association (MLA)
Yang, Dan…[et al.]. Cardiopulmonary Signal Detection Based on Magnetic Induction. Journal of Sensors No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1186762
American Medical Association (AMA)
Yang, Dan& Xu, Bin& Qiao, Hongyu& Wang, Xu. Cardiopulmonary Signal Detection Based on Magnetic Induction. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1186762
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186762