Skip to main navigation Skip to search Skip to main content

Implementation of NICHD diagnostic criteria for feature extraction and classification of fetal heart rate signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We present a description of a computerized approach to interpretation of fetal heart rate (FHR) patterns that uses the 2008 Fetal Heart Rate Monitoring Guidelines published by the National Institute of Child Health and Human Development. The study addresses accurate feature extraction that gives programmatic meaning to heretofore visually adjudged morphological changes in FHR that may be indicative of compromised fetal status. We develop methods for estimation of baseline heart rate, detection of morphological changes such as decelerations, and a novel method for assessing FHR variability. A strong motivation for this effort was to imitate physician judgement by following the standardized guidelines as closely as possible. We demonstrate the accuracy of this expert system on a database of 30 traces that had been originally labeled by two independent physicians.

Original languageEnglish
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages1684-1688
Number of pages5
DOIs
StatePublished - 2011
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers

Conference

Conference45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

Fingerprint

Dive into the research topics of 'Implementation of NICHD diagnostic criteria for feature extraction and classification of fetal heart rate signals'. Together they form a unique fingerprint.

Cite this