Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (SpO2) - a comparative study
| Autor: | Jensen, Thomas, Duun, Sune Bro, Larsen, Jan, Haahr, Rasmus Grønbek, Toft, M. H., Belhage, B., Thomsen, Erik Vilain |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Zdroj: | Jensen, T, Duun, S B, Larsen, J, Haahr, R G, Toft, M H, Belhage, B & Thomsen, E V 2009, Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (SpO2)-a comparative study . in Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009 . IEEE, pp. 4039-4044, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, United States, 02/09/2009 . https://doi.org/10.1109/IEMBS.2009.5333746 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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