Belhage, Bo

Duun, Sune

Duun, Sune Bro

Haahr, Rasmus

Haahr, Rasmus G

Jensen, Thomas

Larsen, Jan

Thomsen, Erik V

Thomsen, Erik Vilain

Toft, Mette H

Copenhagen University Research Information System

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

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

Haahr, Rasmus Grønbek

Toft, M. H.

Belhage, B.

Online Research Database In Technology

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

http://orbit.dtu.dk/ws/files/4583254/Jensen.pdf

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

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Copenhagen University Research Information System

Online Research Database In Technology