Heartbeat detection with Doppler sensor using adaptive scale factor selection on learning

Eriko Mogi, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Heart rate variability gives information about health and mental condition. Noncontact detection of heartbeat using Doppler sensor has been researched in many studies. There is a major issue which is how to reduce the influence of body movement. A conventional algorithm uses the continuous wavelet transform. To extract heartbeat, a constant scale factor is selected during a learning phase which is then used to detect heartbeat during a test phase. However, to select the scale factor, the authors do not consider the difference of heart rate between learning and test. Thus, the root mean square error (RMSE) of R-R interval which represents the peak-to-peak of heartbeat is deteriorated. In this paper, we propose a method to improve the RMSE of R-R interval compared with the conventional one. During learning, we search for a scale factor interval corresponding to the heart rate obtained with the Doppler sensor. To take the difference of heart rate between learning and test into consideration, we extend the scale factor interval depending on the action during test. After we select a certain scale factor from some scale factors in the extended interval, we detect heart rate during test by counting the peaks of wavelet coefficients of the selected scale factor. Through experiments, when a subject is sitting still or doing a typing game, we show that the RMSE of R-R interval is improved by about 60 msec and 65 msec, respectively, compared with the conventional method.

Original languageEnglish
Title of host publicationIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2166-2170
Number of pages5
Volume2015-December
ISBN (Print)9781467367820
DOIs
Publication statusPublished - 2015 Dec 1
Event26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015 - Hong Kong, China
Duration: 2015 Aug 302015 Sep 2

Other

Other26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
CountryChina
CityHong Kong
Period15/8/3015/9/2

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Mogi, E., & Ohtsuki, T. (2015). Heartbeat detection with Doppler sensor using adaptive scale factor selection on learning. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC (Vol. 2015-December, pp. 2166-2170). [7343656] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2015.7343656