Pulse Oximetry Matlab Demo Software

Jan Larsen, Thomas Jensen, Rasmus Haahr, Sune Duun

AbstractThis Matlab demonstration include methods for estimating the optical ratio in pulse oximetry. The methods include Independent Component Analysis (ICA) algorithms from the ICA:DTU Toolbox, FastICA and an implementation of the Masimo Discrete Saturation Transform (DST) algorithm. Also scripts for demonstrating how the methods can be used and evaluated are included.
Keywordspulse oximetry, idependent component analsysi, comparison, evaluation, small data set
Year2009    Month October
PublisherDepartment of Informatics and Mathematical Modelling
AddressRichard Petersens Plads, Building 321
NoteUse of this software requires citation to this links and the publication: Thomas Jensen, Sune Duun, Jan Larsen, Rasmus G. Haahr, Mette H. Toft, Bo Belhage, and Erik V. Thomsen: "Independent Component Analysis Applied to Pulse Oximetry in the Estimation of the Arterial Oxygen Saturation (SpO2) - a Comparative Study," Engineering in Medicine and Biology Society, 2009. EMBS 2009. 31th Annual International Conference of the IEEE.
Electronic version(s)[zip]
Demo linkhttp://isp.imm.dtu.dk/pulseoximetry
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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