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

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	2005-2009
ページ数	5
巻	2018-February
ISBN（電子版）	9781509059492
DOI	https://doi.org/10.1109/ICIT.2018.8352495
出版ステータス	Published - 2018 4月 27
イベント	19th IEEE International Conference on Industrial Technology, ICIT 2018 - Lyon, France 継続期間: 2018 2月 19 → 2018 2月 22

Other

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

ASJC Scopus subject areas

コンピュータサイエンスの応用
電子工学および電気工学

文献へのアクセス

10.1109/ICIT.2018.8352495

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引用スタイル

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 その他.
Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 2005-2009.

研究成果: 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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