A practical BCG measuring system with bed sensors and algorithm for heartbeat detection

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Abstract

Ballistocardiogram (BCG) is useful and informative signal result from the cardiac activity. In this paper, we present a practical BCG measurement system with bed sensors. Moreover, the simple algorithm to detect all individual heartbeats and estimate beat-to-beat interval lengths is presented. These are effective for all night continuous monitoring of cardiovascular system and enable us to detect sleep stage. Heart beats is detected by cross-correlation method. This method has three steps, preprocessing, typical wave form creation and cross-correlation calculation. Output of this process were validated with 10 subjects. As the results, the average 71.5% of the beat-to-beat intervals were detected. Moreover this study revealed that the individual difference is significant factor to detect heart beats precisely.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages317-321
Number of pages5
ISBN (Electronic)9781538619469
DOIs
Publication statusPublished - 2018 Jun 1
Event15th IEEE International Workshop on Advanced Motion Control, AMC 2018 - Tokyo, Japan
Duration: 2018 Mar 92018 Mar 11

Other

Other15th IEEE International Workshop on Advanced Motion Control, AMC 2018
CountryJapan
CityTokyo
Period18/3/918/3/11

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Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Mechanical Engineering
  • Control and Optimization

Cite this

Nagura, M., Mitsukura, Y., Kishimoto, T., & Mimura, M. (2018). A practical BCG measuring system with bed sensors and algorithm for heartbeat detection. In Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018 (pp. 317-321). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMC.2019.8371110