Classification of foetal heart rate sequences based on fractal features

• Type: Article in International Scientific Journal
• Date: 1998

Authors

Felgueiras, CS (Author) Other; de Sa, JPM (Author) Other; Bernardes, J (Author) FMUP; Gama, S (Author) FCUP

Journal

Title: Medical and Biological Engineering and Computing

Vol. 36

Pages: 197-201

ISSN: 0140-0118

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 25 Citations

Scopus - 29 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Electrical engineering ; Health sciences > Medical sciences > Medicine > Cardiology

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-001-8D9

DOI: 10.1007/bf02510743

Abstract (EN): 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 models 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5