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Tytuł pozycji:

Non-Contact Heart-Rate Measurement Method Using Both Transmitted Wave Extraction and Wavelet Transform.

Tytuł:
Non-Contact Heart-Rate Measurement Method Using Both Transmitted Wave Extraction and Wavelet Transform.
Autorzy:
Yang Z; Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Mitsui K; Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Wang J; Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Saito T; Soken, Inc., Nisshin, Aichi 470-0111, Japan.
Shibata S; Soken, Inc., Nisshin, Aichi 470-0111, Japan.
Mori H; Soken, Inc., Nisshin, Aichi 470-0111, Japan.
Ueda G; Denso Corporation, Kariya, Aichi 448-8661, Japan.
Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Apr 13; Vol. 21 (8). Date of Electronic Publication: 2021 Apr 13.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:
Algorithms*
Wavelet Analysis*
Heart Rate ; Humans ; Monitoring, Physiologic ; Movement
References:
IEEE J Biomed Health Inform. 2014 Nov;18(6):1932-9. (PMID: 25375690)
IEEE Trans Biomed Eng. 2016 Apr;63(4):747-57. (PMID: 26302507)
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:3337-3340. (PMID: 31946596)
Healthc Technol Lett. 2016 Jul 5;3(3):222-225. (PMID: 27733931)
IEEE Trans Biomed Eng. 2019 Jun;66(6):1769-1778. (PMID: 30403616)
Circ J. 2008 Nov;72(11):1859-66. (PMID: 18827372)
IEEE Eng Med Biol Mag. 2010 May-Jun;29(3):25-36. (PMID: 20659855)
Phys Med Biol. 2004 Jan 7;49(1):1-15. (PMID: 14971769)
IEEE Trans Biomed Eng. 2016 Sep;63(9):1887-1894. (PMID: 26642315)
Contributed Indexing:
Keywords: heart-rate detection; non-contact; transmitted field; wavelet transform
Entry Date(s):
Date Created: 20210430 Date Completed: 20210503 Latest Revision: 20210503
Update Code:
20240104
PubMed Central ID:
PMC8069581
DOI:
10.3390/s21082735
PMID:
33924491
Czasopismo naukowe
Continuous monitoring of heart-rate is expected to lead to early detection of physical discomfort. In this study, we propose a non-contact heart-rate measurement method which can be used in an environment such as driver heart-rate monitoring with body movement. The method is based on the electric field strength transmitted through the human body that changes with the diastole and systole of the heart. Unlike conventional displacement detection of the skin surface, we attempted to capture changes in the internal structure of the human body by irradiating the human body with microwaves and acquiring microwaves that pass through the heart. We first estimated the electric field strength transmitted through the heart using three receiving sensors to reduce the body movement effect. Then we decomposed the estimated transmitted electric field using stationary wavelet transform to eliminate significant distortion due to body movement. As a result, we achieved an estimation accuracy of heart-rate as high as 98% in a verification experiment with normal body movement.

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