Cardiopulmonary Signal Detection Based on Magnetic Induction
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 cardiopulmon...
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Online Access: | http://dx.doi.org/10.1155/2017/1752560 |
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doaj-58ac1ca2f7c94049adabbf2e47dfa7fe2020-11-24T21:02:54ZengHindawi LimitedJournal of Sensors1687-725X1687-72682017-01-01201710.1155/2017/17525601752560Cardiopulmonary Signal Detection Based on Magnetic InductionDan Yang0Bin Xu1Hongyu Qiao2Xu Wang3College of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Computer Science and Information Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCardiopulmonary 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).http://dx.doi.org/10.1155/2017/1752560 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dan Yang Bin Xu Hongyu Qiao Xu Wang |
spellingShingle |
Dan Yang Bin Xu Hongyu Qiao Xu Wang Cardiopulmonary Signal Detection Based on Magnetic Induction Journal of Sensors |
author_facet |
Dan Yang Bin Xu Hongyu Qiao Xu Wang |
author_sort |
Dan Yang |
title |
Cardiopulmonary Signal Detection Based on Magnetic Induction |
title_short |
Cardiopulmonary Signal Detection Based on Magnetic Induction |
title_full |
Cardiopulmonary Signal Detection Based on Magnetic Induction |
title_fullStr |
Cardiopulmonary Signal Detection Based on Magnetic Induction |
title_full_unstemmed |
Cardiopulmonary Signal Detection Based on Magnetic Induction |
title_sort |
cardiopulmonary signal detection based on magnetic induction |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2017-01-01 |
description |
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). |
url |
http://dx.doi.org/10.1155/2017/1752560 |
work_keys_str_mv |
AT danyang cardiopulmonarysignaldetectionbasedonmagneticinduction AT binxu cardiopulmonarysignaldetectionbasedonmagneticinduction AT hongyuqiao cardiopulmonarysignaldetectionbasedonmagneticinduction AT xuwang cardiopulmonarysignaldetectionbasedonmagneticinduction |
_version_ |
1716774963006930944 |