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

Masaki Nagura; Yasue Mitsukura; Taishiro Kishimoto; Masaru Mimura

doi:10.1109/ICIT.2018.8352495

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

Masaki Nagura, Yasue Mitsukura, Taishiro Kishimoto, Masaru Mimura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (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 language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2005-2009
Number of pages	5
Volume	2018-February
ISBN (Electronic)	9781509059492
DOIs	https://doi.org/10.1109/ICIT.2018.8352495
Publication status	Published - 2018 Apr 27
Event	19th IEEE International Conference on Industrial Technology, ICIT 2018 - Lyon, France Duration: 2018 Feb 19 → 2018 Feb 22

Other

Other	19th IEEE International Conference on Industrial Technology, ICIT 2018
Country/Territory	France
City	Lyon
Period	18/2/19 → 18/2/22

Keywords

Battistocardiogram(BCG)
Biomedical measurements
Cardiac signal analysis

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/ICIT.2018.8352495

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

An estimation of heart rate variability from ballistocardiogram measured with bed leg sensors. / Nagura, Masaki; Mitsukura, Yasue; Kishimoto, Taishiro et al.
Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 2005-2009.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, Institute of Electrical and Electronics Engineers Inc., pp. 2005-2009, 19th IEEE International Conference on Industrial Technology, ICIT 2018, Lyon, France, 18/2/19. https://doi.org/10.1109/ICIT.2018.8352495

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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.",

keywords = "Battistocardiogram(BCG), Biomedical measurements, Cardiac signal analysis",

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N2 - 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.

AB - 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.

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

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