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.
|Title of host publication||Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009|
|Publication status||Published - 2009|
|Event||31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Minneapolis, MN, United States|
Duration: 2 Sep 2009 → 6 Sep 2009
Conference number: 31
|Conference||31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|Period||02/09/2009 → 06/09/2009|