Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (SpO2) - a comparative study

Thomas Jensen, Sune Bro Duun, Jan Larsen, Rasmus Grønbek Haahr, M. H. Toft, B. Belhage, Erik Vilain Thomsen

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    Abstract

    We examine various independent component analysis (ICA) digital signal processing algorithms for estimating the arterial oxygen saturation (SpO2) as measured by a reflective pulse oximeter. The ICA algorithms examined are FastICA, Maximum Likelihood ICA (ICAML), Molgedey and Schuster ICA (ICAMS), and Mean Field ICA (ICAMF). The signal processing includes pre-processing bandpass filtering to eliminate noise, and post-processing by calculating the SpO2. The algorithms are compared to the commercial state-of-the-art algorithm Discrete Saturation Transform (DST) by Masimo Corporation. It is demonstrated that ICAMS and ICAMF perform up to 13% better than DST. PPG recordings are done with a reflective pulse oximetry sensor integrated in an Electronic Patch. This system is intended for patients with chronic heart and lung conditions.
    Original languageEnglish
    Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009
    PublisherIEEE
    Publication date2009
    Pages4039-4044
    ISBN (Print)978-1-4244-3296-7
    DOIs
    Publication statusPublished - 2009
    Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Minneapolis, MN, United States
    Duration: 2 Sep 20096 Sep 2009
    Conference number: 31
    http://www.embc09.org/

    Conference

    Conference31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Number31
    CountryUnited States
    CityMinneapolis, MN
    Period02/09/200906/09/2009
    Internet address

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