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 language | English |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009 |
| Publisher | IEEE |
| Publication date | 2009 |
| Pages | 4039-4044 |
| ISBN (Print) | 978-1-4244-3296-7 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Minneapolis, MN, United States Duration: 2 Sept 2009 → 6 Sept 2009 Conference number: 31 http://www.embc09.org/ |
Conference
| Conference | 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Number | 31 |
| Country/Territory | United States |
| City | Minneapolis, MN |
| Period | 02/09/2009 → 06/09/2009 |
| Internet address |
Bibliographical note
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