Application of a MEMS blood flowmeter for power spectrum analysis of heart rate variability

Terukazu Akiyama, Tatsuya Miyazaki, Hiroki Ito, Hirofumi Nogami, Renshi Sawada

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

    Abstract

    We investigated the possibility of applying a MEMS blood flowmeter to heart rate variability (HRV) analysis. We conducted simultaneous measurements of HRV by electrocardiogram and MEMS blood flowmeter. TPP for the MEMS blood flowmeter was defined as the interval between peaks, which were designated as where the first-order differential of the signal changes from negative to positive. TRR (i.e., the R-R interval of the electrocardiogram) and TPP were compared by regression analysis. Autonomic indices transformed by power spectrum analysis were also compared by regression analysis. Fast Fourier transform (FFT) and maximum entropy method (MEM) were employed in the frequency analysis. By FFT analysis, the coefficient of determination for the regression between LF%, HF%, and LF/HF derived by TRR versus TPP was 0.8781, 0.8781, and 0.8946, respectively. By MEM analysis, the coefficient of determination for the regression between LF%, HF%, and LF/HF derived by TRR versus TPP was 0.9649, 0.8026, and 0.9181, respectively. These high correlations suggest that the TPP of the MEMS blood flowmeter is a reliable metric that can be utilized in applications of HRV analysis.

    Original languageEnglish
    Title of host publicationBIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
    EditorsHarald Loose, Ana Fred, Hugo Gamboa, Dirk Elias
    PublisherSciTePress
    Pages211-218
    Number of pages8
    ISBN (Electronic)9789897580697
    DOIs
    Publication statusPublished - 2015
    Event8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015 - Lisbon, Portugal
    Duration: Jan 12 2015Jan 15 2015

    Publication series

    NameBIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

    Other

    Other8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015
    CountryPortugal
    CityLisbon
    Period1/12/151/15/15

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Biomedical Engineering

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