Models for handling uncertainty in fetal heart rate and ECG analysis

Author

Ifeachor, E.C. ; Curnow, J.S.K. ; Outram, N.J. ; Skinner, J.F.

Author_Institution

Centre for Commun., Networks & Inf. Syst., Univ. of Plymouth, UK

Volume

2

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1661

Abstract

Methods for handling imprecision and uncertainty in computer-based analysis of fetal heart rate patterns and ECG wave shape during childbirth are presented. Computational intelligence models, based on fuzzy logic techniques, that explicitly handle the imprecision and uncertainty inherent in the data obtained during childbirth and methods of interpreting the data are proposed. The ability to handle imprecision and uncertainty in clinical data and method of interpretation is vital to remove a key obstacle in electronic fetal monitoring.

Keywords

electrocardiography; feature extraction; finite state machines; fuzzy logic; medical expert systems; medical signal processing; obstetrics; uncertainty handling; ECG wave shape; cardiotocogram; childbirth; computational intelligence models; computer-based analysis; crisp model; electronic fetal monitoring; fetal heart rate patterns; finite state machine; fuzzy logic; heart rate acceleration; heart rate baseline; heart rate deceleration; heart rate variability; uncertainty handling; uterine contractions; Cardiology; Computational intelligence; Computational modeling; Electrocardiography; Fetal heart rate; Guidelines; Information analysis; Pattern analysis; Shape; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020534

Filename

1020534