Advanced ECG processor with HRV analysis for real-time portable health monitoring

Chia Ching Chou*, Shao Yen Tseng, Ericson Chua, Yaw Chern Lee, Wai-Chi  Fang, Hsiang Cheh Huang

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    24 Scopus citations

    Abstract

    In this paper, a portable ECG processor designed for health monitoring applications is proposed. The ECG processor acquires three-channel ECG raw data through a front-end circuit, and measures the time between successive heart beats on lead II as RR intervals for heart rate variability (HRV) analysis. Functions such as R-peak detection, RR interval calculation, sliding memory window scheme, and time-frequency analysis of HRV have also been developed. A real-time HRV analysis processor is realized by employing a Lomb periodogram for time-frequency power spectral density (PSD) analysis of the heart rate. The Lomb time-frequency distribution (TFD) is suited for deriving the PSD of unevenly spaced data sets. The system has been implemented in hardware and verified on FPGA.

    Original languageEnglish
    Title of host publicationProceedings of the 1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011
    Pages172-175
    Number of pages4
    DOIs
    StatePublished - 26 Oct 2011
    Event1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011 - Berlin, Germany
    Duration: 6 Sep 20118 Sep 2011

    Publication series

    NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
    ISSN (Print)0747-668X

    Conference

    Conference1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011
    Country/TerritoryGermany
    CityBerlin
    Period6/09/118/09/11

    Keywords

    • Biomedical monitoring system
    • ECG
    • heart rate variability (HRV)
    • Lomb periodogram
    • System on Chip (SoC)
    • time-frequency distribution (TFD)

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