BCG signal processing based on advanced LMS filter for optical fiber monitor

Yifan Liu, Wei Xu, Changyuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Heart Rate Variability (HRV) analysis is an important tool for health monitoring. A non-invasive smart health monitoring system based on optical fiber interferometer can get HRV information from the Ballistocardiogram (BCG) signal. For some patients, the HRV can hardly be calculated due to the interferences from breath and other vibrations. In this research, we obtain a stable and high-sensitive BCG signal by a Mach-Zehnder interferometer (MZI) based sensor. In order to reduce the noise in signal, we introduce an advanced least mean squares (LMS) adaptive filter into the procedure. We use the signal processed by a bandpass filter as the adesired signal' to deal with the raw data and obtain a preferable output for HRV calculation.

Original languageEnglish
Title of host publicationOptoelectronic Devices and Integration IX
EditorsXuping Zhang, Baojun Li, Changyuan Yu, Xinliang Zhang
ISBN (Electronic)9781510639096
Publication statusPublished - Oct 2020
EventOptoelectronic Devices and Integration IX 2020 - Virtual, Online, China
Duration: 12 Oct 202016 Oct 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceOptoelectronic Devices and Integration IX 2020
CityVirtual, Online


  • BCG
  • Heart Rate Variability
  • LMS adaptive filter

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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