Details of this Friday's Statistics Seminar are below:
Friday 24th October
3.00 p.m., Room 5327, James Clerk Maxwell Building, King's Buildings.
Prof CHRIS WILLIAMS, University of Edinburgh
Title: Factorial Switching Linear Dynamical Systems for Neonatal
Condition Monitoring.
Tea and coffee will be available after the seminar in the Mathematics
School, Staff Common Room (5212).
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Abstract: Condition monitoring often involves the analysis of
measurements taken from a system which ``switches'' between different
modes of operation in some way. Given a sequence of observations, the
task is to infer which possible condition (or "switch setting") of the
system is most likely at each time frame. In this paper we describe the
use of factorial switching linear dynamical models for such problems. A
particular advantage of this construction is that it provides a
framework in which domain knowledge about the system being analysed can
easily be incorporated.
We demonstrate the flexibility of this type of model by applying it to
the problem of monitoring the condition of a premature baby receiving
intensive care. The state of health of a baby cannot be observed
directly, but different underlying factors are associated with
particular patterns of measurements, e.g. in the heart rate, blood
pressure and temperature. We use the model to infer the presence of two
different types of factors: common, recognisable regimes (e.g. certain
artefacts or common physiological phenomena), and novel patterns which
are clinically significant but have unknown cause. Experimental results
are given which show the developed methods to be effective on real
intensive care unit monitoring data.
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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