Pulse Oximetry Matlab Demo Software |
Jan Larsen, Thomas Jensen, Rasmus Haahr, Sune Duun
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| Abstract | This 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. |
| Keywords | pulse oximetry, idependent component analsysi, comparison, evaluation, small data set |
| Type | Demo |
| Year | 2009 Month October |
| Publisher | Department of Informatics and Mathematical Modelling |
| Address | Richard Petersens Plads, Building 321 |
| Note | Use 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 link | http://isp.imm.dtu.dk/pulseoximetry |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |