Trend Recognition in Clinical Signals using Template-Based Methods

R. W. Jones; A. Lowe; M. J. Harrison

doi:10.1055/s-0038-1634287

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2000; 39(02): 101-104
DOI: 10.1055/s-0038-1634287

Original Article

Schattauer GmbH

Trend Recognition in Clinical Signals using Template-Based Methods

Authors

R. W. Jones

²Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand
A. Lowe

²Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand
M. J. Harrison

¹Department of Anaesthesia, Auckland Hospital, Auckland, New Zealand

Abstract

Abstract:

The recognition of clinically significant trends in monitored signals plays an important role in many medical diagnostic applications. A template-based system technique to identify characteristic patterns in time-series data is described, based on fuzzy logic. Fuzzy set theory allows the creation of fuzzy templates from linguistic rules. The resulting fuzzy template system can accommodate multiple time signals, relative or absolute trends, and automatically generates a normalised “goodness of fit” score. The template approach was originally developed for monitoring during anaesthesia but has the potential to be useful in other domains that require temporal pattern recognition.

Keywords:

Temporal Pattern Recognition - Fault Detection and Diagnosis - Fuzzy Templates

Full Text

References

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