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Title:Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
Authors: Chris Williams ; John Quinn ; Neil McIntosh
Date:Jan 2006
Publication Title:Neural Information Processing
Publication Type:Journal Article
Volume No:18 Page Nos:1513-1520
The observed physiological dynamics of an infant receiving intensive care are affected by many possible factors, including interventions to the baby, the operation of the monitoring equipment and the state of health. The Factorial Switching Kalman Filter can be used to infer the presence of such factors from a sequence of observations, and to estimate the true values where these observations have been corrupted. We apply this model to clinical time series data and show it to be effective in identifying a number of artifactual and physiological patterns.
Links To Paper
NIPS conference publications website
2nd link
Bibtex format
author = { Chris Williams and John Quinn and Neil McIntosh },
title = {Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care},
journal = {Neural Information Processing},
year = 2006,
month = {Jan},
volume = {18},
pages = {1513-1520},
url = {},

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