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Author Duhamel, A. ♦ Devos, P. ♦ Vaksmann, G. ♦ Beuscart, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1994
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Computational Intelligence Society ♦ Density functional theory ♦ Electrocardiography ♦ Pediatrics ♦ Testing ♦ Distributed computing ♦ Distribution functions
Abstract The development of exploration methods provides physicians with many tests which can be used to settle a reliable diagnosis. To evaluate the individual diagnostic value of a new test, it is necessary to assess the normal reference values to ascertain the sensitivity and the specificity of the method. For this purpose confidence intervals (CI) of the parameter are computed from a large healthy population. However, to compute the CIs, the distribution function of the parameter must be determined. Usually, CIs are computed assuming the normality of the distribution. When this assumption is not valid, the results can be strongly biased. To compute reliable CIs, the authors propose a methodology based on the modeling of the density function. This methodology uses the following steps: 1) estimating the density function; 2) deriving a model of the density function; 3) checking the validity of the model; 4) computing CIs using the theoretical density function. Signal averaged electrocardiography (SA ECG) is a new technique which shows promise for detection of children at risk for ventricular tachycardia (VT). However, normal values have not been established in a large paediatric population for the moment. This methodology has been used to compute CIs of SA ECG parameters in 530 healthy children. These computed CIs show that SA ECG can be used as a screening test of children at risk for VT.<<ETX>>
Description Author affiliation: Fac. de Med., CERIM, Lille, France (Duhamel, A.; Devos, P.)
ISBN 0780320506
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1994-11-03
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 181.94 kB
Page Count 2
Starting Page 165
Ending Page 166

Source: IEEE Xplore Digital Library