Auto-regression-driven, reallocative particle filtering approaches in PPG-based respiration rate estimation

Mikko Pirhonen, Olli Suominen, A. Vehkaoja

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

    1 Citation (Scopus)
    35 Downloads (Pure)

    Abstract

    Interest towards respiratory state assessment with non-obtrusive instrumentation has led to the design of novel algorithmic solutions. Notably, respiratory behavior has been observed to cause modulative changes in two discreetly measurable physiological signals, PPG and ECG. The potential to integrate respiratory rate measurements in widely used instrumentation with no additional cost has made the research of suitable signal processing methods attractive. We have studied and compared auto-regressive (AR) model order optimization and coefficient extraction methods combined with a reallocative particle filtering approach for respiration rate estimation from finger PPG signal. The evaluated coefficient extraction methods were Yule-Walker, Burg, and Least-square. Considered model order optimization methods were Akaike’s information criteria (AIC) and Minimum description length. Methods were evaluated with a publicly available dataset comprised of approximately 10-minute measurements from 39 healthy subjects at rest. From the evaluated AR model parameter extraction methods, Burg's method combined AIC performed the best. We obtained the mean absolute error of 2.7 and bias of -0.4 respirations per minute with this combination.

    Original languageEnglish
    Title of host publicationEMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
    PublisherSpringer Verlag
    Pages1020-1024
    Number of pages5
    ISBN (Print)9789811051210
    DOIs
    Publication statusPublished - 2018
    Publication typeA4 Article in conference proceedings
    EventJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) -
    Duration: 1 Jan 1900 → …

    Publication series

    NameIFMBE Proceedings
    Volume65
    ISSN (Print)1680-0737

    Conference

    ConferenceJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
    Period1/01/00 → …

    Keywords

    • Autoregression
    • Particle filtering
    • Photoplethysmography
    • Respiration rate

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Bioengineering

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