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.
Jensen
Thomas
T
Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads B321, 2800 Kgs. Lyngby, Denmark.
Duun
Sune
S
Larsen
Jan
J
Haahr
Rasmus G
RG
Toft
Mette H
MH
Belhage
Bo
B
Thomsen
Erik V
EV
D000465:Algorithms; D001158:Arteries / Q000502:physiology; D002245:Carbon Dioxide / Q000737:chemistry; D003627:Data Interpretation, Statistical; D004867:Equipment Design; D006331:Heart Diseases / Q000473:pathology; D006801:Humans; D008027:Light; D016013:Likelihood Functions; D008171:Lung Diseases / Q000473:pathology; D015233:Models, Statistical; D010092:Oximetry / Q000295:instrumentation* / Q000379:methods; D010100:Oxygen / Q000737:chemistry / Q000378:metabolism*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted
D002245:Carbon Dioxide; D010100:Oxygen