Classification of foetal heart rate sequences based on fractal features.

Abstract:

:Visual inspection of foetal heart rate (FHR) sequences is an important means of foetal well-being evaluation. The application of fractal features for classifying physiologically relevant FHR sequence patterns is reported. The use of fractal features is motivated by the difficulties exhibited by traditional classification schemes to discriminate some classes of FHR sequence and by the recognition that this type of signal exhibits features on different scales of observation, just as fractal signals do. To characterise the signals by fractal features, two approaches are taken. The first modes the FHR sequences as temporal fractals. The second uses techniques from the chaos-theory field and aims to model the attractor based on FHR sequences. The fractal features determined by both approaches are used to design a Bayesian classification scheme. Classification results for three classes are presented; they are quite satisfactory and illustrate the importance of this type of methodology.

journal_name

Med Biol Eng Comput

authors

Felgueiras CS,de Sá JP,Bernardes J,Gama S

doi

10.1007/BF02510743

subject

Has Abstract

pub_date

1998-03-01 00:00:00

pages

197-201

issue

2

eissn

0140-0118

issn

1741-0444

journal_volume

36

pub_type

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