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Proceedings Paper

Stochastic time series analysis of fetal heart rate variability
Author(s): M. A. Shariati; J. H. Dripps
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Paper Abstract

Fetal Heart Rate(FHR) is one of the important features of fetal biophysical activity and its long term monitoring is used for the antepartum(period of pregnancy before labour) assessment of fetal well being. But as yet no successful method has been proposed to quantitatively represent variety of random non-white patterns seen in FHR. Objective of this paper is to address this issue. In this study the Box-Jenkins method of model identification and diagnostic checking was used on phonocardiographic derived FHR(averaged) time series. Models remained exclusively autoregressive(AR). Kalman filtering in conjunction with maximum likelihood estimation technique forms the parametric estimator. Diagnosrics perfonned on the residuals indicated that a second order model may be adequate in capturing type of variability observed in 1 up to 2 mm data windows of FHR. The scheme may be viewed as a means of data reduction of a highly redundant information source. This allows a much more efficient transmission of FHR information from remote locations to places with facilities and expertise for doser analysis. The extracted parameters is aimed to reflect numerically the important FHR features. These are normally picked up visually by experts for their assessments. As a result long term FHR recorded during antepartum period could then be screened quantitatively for detection of patterns considered normal or abnonnal. 1.

Paper Details

Date Published: 1 June 1990
PDF: 6 pages
Proc. SPIE 1355, Telecommunication for Health Care: Telemetry, Teleradiology, and Telemedicine, (1 June 1990); doi: 10.1117/12.23881
Show Author Affiliations
M. A. Shariati, Univ. of Edinburgh (United Kingdom)
J. H. Dripps, Univ. of Edinburgh (United Kingdom)

Published in SPIE Proceedings Vol. 1355:
Telecommunication for Health Care: Telemetry, Teleradiology, and Telemedicine
Rangaraj M. Rangayyan, Editor(s)

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