Models for handling uncertainty in fetal heart rate and ECG analysis

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

Models for handling uncertainty in fetal heart rate and ECG analysis

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

^*Corresponding author for this work

Research output: Contribution to journal › Conference proceedings published in a journal › peer-review

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.

Original language	English
Pages (from-to)	1661-1667
Number of pages	7
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	2
Publication status	Published - 2001
Event	23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: 25 Oct 2001 → 28 Oct 2001

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Keywords

Cardiotocogram
Computational intelligence models
Electronic fetal monitoring
Fetal ECG
Fetal heart rate
Fuzzy logic

Cite this

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title = "Models for handling uncertainty in fetal heart rate and ECG analysis",

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 = "Cardiotocogram, Computational intelligence models, Electronic fetal monitoring, Fetal ECG, Fetal heart rate, Fuzzy logic",

author = "Ifeachor, {E. C.} and Curnow, {J. S.K.} and Outram, {N. J.} and Skinner, {J. F.}",

year = "2001",

language = "English",

volume = "2",

pages = "1661--1667",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 25-10-2001 Through 28-10-2001",

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TY - JOUR

T1 - Models for handling uncertainty in fetal heart rate and ECG analysis

AU - Ifeachor, E. C.

AU - Curnow, J. S.K.

AU - Outram, N. J.

AU - Skinner, J. F.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - Cardiotocogram

KW - Computational intelligence models

KW - Electronic fetal monitoring

KW - Fetal ECG

KW - Fetal heart rate

KW - Fuzzy logic

UR - http://www.scopus.com/inward/record.url?scp=61549106331&partnerID=8YFLogxK

M3 - Conference proceedings published in a journal

AN - SCOPUS:61549106331

SN - 0589-1019

VL - 2

SP - 1661

EP - 1667

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 25 October 2001 through 28 October 2001

ER -

Models for handling uncertainty in fetal heart rate and ECG analysis

Abstract

ASJC Scopus subject areas

Keywords

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