An estimation of heart rate variability from ballistocardiogram measured with bed leg sensors

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

1 Citation (Scopus)

Abstract

Ballistocardiogram (BCG) is the repetitive body movements related to cardiac cycle. All night continuous measuring of BCG by using bed sensors enable us to detect sleep stage. However conventional methods are seemed to have unreliability caused by position of lying down. In this paper, we propose a reliable method of all night continuous measuring of BCG. Heart rate variability (HRV) is estimated from BCG measured with new bed sensors by template-matching approach. This approach has three steps, pre-processing, template-creation and template matching. Output of this process were validated with 4 subjects. The mean beat-to-beat interval error was 9.8[ms] and on an average 87.1% of the beat-to-beat intervals were detected.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2005-2009
Number of pages5
Volume2018-February
ISBN (Electronic)9781509059492
DOIs
Publication statusPublished - 2018 Apr 27
Event19th IEEE International Conference on Industrial Technology, ICIT 2018 - Lyon, France
Duration: 2018 Feb 192018 Feb 22

Other

Other19th IEEE International Conference on Industrial Technology, ICIT 2018
CountryFrance
CityLyon
Period18/2/1918/2/22

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Keywords

  • Battistocardiogram(BCG)
  • Biomedical measurements
  • Cardiac signal analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Nagura, M., Mitsukura, Y., Kishimoto, T., & Mimura, M. (2018). An estimation of heart rate variability from ballistocardiogram measured with bed leg sensors. In Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018 (Vol. 2018-February, pp. 2005-2009). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2018.8352495