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The Capital Region of Denmark - a part of Copenhagen University Hospital
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Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (SpO2)--a comparative study

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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
JournalI E E E Engineering in Medicine and Biology Society. Conference Proceedings
Volume2009
Pages (from-to)4039-44
Number of pages6
ISSN1557-170X
DOIs
Publication statusPublished - 1 Jan 2009

ID: 32357957