• DocumentCode
    3752174
  • Title

    Accuracy comparison between two microcontroller-embedded R-wave detection methods for heart-rate variability analysis

  • Author

    Toshitaka Yamakawa;Ryunosuke Kinoshita;Koichi Fujiwara;Manabu Kano;Miho Miyajima;Tadashi Sakata;Yuichi Ueda

  • Author_Institution
    Dept. of Computer Science and Electrical Eng., Graduate School of Science and Technology, Kumamoto University, Japan
  • fYear
    2015
  • Firstpage
    1010
  • Lastpage
    1013
  • Abstract
    Analysis of heart rate variability, which is calculated using the R-R intervals (RRI) of electrocardiogram (ECG), provides beneficial information for both clinical and healthcare diagnoses. To achieve the required accuracy for RRI measurement using the wearable telemetery system, two R-wave detection methods (one based on voltage threshold and another that adopts differential peak detection) were developed for implementation in a low-power microcontroller integrated into a wearable telemeter. Accuracy of these methods were compared using a clinical-grade ECG measurement system to evaluate the systematic errors of the proposed methods by correlation and Bland-Altman analyses.
  • Keywords
    "Electrocardiography","Rail to rail inputs","Heart rate variability","Microcontrollers","Measurement uncertainty","Threshold voltage","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APSIPA.2015.7415423
  • Filename
    7415423