Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care

author: Chris Williams, University of Edinburgh
published: Feb. 5, 2008,   recorded: January 2008,   views: 5476
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Description

This presentation describes the application of data modelling using Kalman filters to premature baby monitoring.

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Download slides icon Download slides: epsrcws08_williams_fskf_01.pdf (1.7┬áMB)


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Reviews and comments:

Comment1 simon, February 20, 2012 at 9:01 a.m.:

It seems as though a number of errors is made, like change the threshold at 1:04, you don't change the threshold for true positives but you change the classifier (which is like a threshold).


Comment2 Simon, February 20, 2012 at 10:01 a.m.:

It seems as though a number of errors is made, like change the threshold at 1:04, you don't change the threshold for true positives but you change the classifier (which is like a threshold). Also, first it is said the model will be univariate but the demo is multivariate, for the latter it's easy to use correlations to give expected predictions. For the former, knowledge seems to be used to model data as artefact.

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