Heart rate detection through bone-conduction headset

Tzung Min Tsai, Hsing Chen Lin, Shuenn Yuh Lee, Soon Jyh Chang

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

2 Citations (Scopus)

Abstract

This paper presents a heart rate detection technique using a microelectromechanical systems (MEMS) microphone (ZTS6011) produced by ZillTek Technology Corporation and a dynamic detection algorithm. The MEMS microphone can be stuck on the temple to detect the beating of the artery, and the pulse of blood transmission can be acquired by the developed sensing module, which includes preamplifiers and analog filters. The presented module has been implemented in a printed circuit board (PCB) with discrete components. The measured results show that the heart rate can be clearly detected in the steady state, and interference caused by motion artifact is distinguished. A dynamic detection algorithm is adopted to determine the various signals and extract the heart rate signal. Results reveal that the presented module may be minimized using integrated circuits, and digital processing is necessary to reduce interference caused by the motion artifact.

Original languageEnglish
Title of host publicationIEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-68
Number of pages4
ISBN (Electronic)9781479923465
DOIs
Publication statusPublished - 2014 Dec 9
Event10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, Switzerland
Duration: 2014 Oct 222014 Oct 24

Publication series

NameIEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

Other

Other10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
CountrySwitzerland
CityLausanne
Period14-10-2214-10-24

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Biomedical Engineering

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  • Cite this

    Tsai, T. M., Lin, H. C., Lee, S. Y., & Chang, S. J. (2014). Heart rate detection through bone-conduction headset. In IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings (pp. 65-68). [6981646] (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2014.6981646