ICA-Derived Respiration Using an Adaptive R-peak Detector

Christina Kozia, Randa Herzallah, David Lowe

    Research output: Chapter in Book/Published conference outputConference publication


    Breathing Rate (BR) plays a key role in health deterioration
    monitoring. Despite that, it has been neglected due to inadequate nursing
    skills and insufficient equipment. ECG signal, which is always monitored
    in a hospital ward, is affected by respiration which makes it a highly
    appealing way for the BR estimation. In addition, the latter requires accurate
    R-peak detection, which is a continuing concern because current
    methods are still inaccurate and miss heart beats. This study proposes
    a frequency domain BR estimation method which uses a novel real-time
    R-peak detector based on Empirical Mode Decomposition (EMD) and
    a blind source ICA for separating the respiratory signal. The originality
    of the BR estimation method is that it takes place in the frequency domain
    as opposed to some of the current methods which rely on a time
    domain analysis, making the estimation more accurate. Moreover, our
    novel QRS detector uses an adaptive threshold over a sliding window
    and differentiates large Q-peaks from R-peaks, facilitating a more accurate
    BR estimation. The performance of our methods was tested on real
    data from Capnobase dataset. An average mean absolute error of less
    than 0.7 breath per minute was achieved using our frequency domain
    method, compared to 15 breaths per minute of the time domain analysis.
    Moreover, our modified QRS detector shows comparable results to
    other published methods, achieving a detection rate over 99.80%.
    Original languageEnglish
    Title of host publicationInternational Conference on Time Series and Forecasting
    Subtitle of host publicationITISE 2018: Theory and Applications of Time Series Analysis
    ISBN (Electronic)978-3-030-26036-1
    ISBN (Print)978-3-030-26035-4
    Publication statusPublished - 19 Oct 2019
    EventInternational Conference on Time Series and Forecasting, ITISE 2018 - Granada, Spain
    Duration: 19 Sept 201821 Sept 2018


    ConferenceInternational Conference on Time Series and Forecasting, ITISE 2018

    Bibliographical note

    © Springer Nature Switzerland AG 2019


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