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Journal article · Conference paper

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

From

Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Department of Micro- and Nanotechnology, Technical University of Denmark2

Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark3

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.

Language: English
Publisher: IEEE
Year: 2009
Pages: 4039-4044
Proceedings: 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISBN: 1424432960 and 9781424432967
ISSN: 1557170x and 23757477
Types: Journal article and Conference paper
DOI: 10.1109/IEMBS.2009.5333746
ORCIDs: Larsen, Jan and Thomsen, Erik Vilain

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