Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/27848
Title: Computerized Cardiotocography Analysis System based on Hilbert Transform
Authors: Marques, João A.L.
Cortez, Paulo C.
Madeiro, João P.V.
Schlindwein, Fernando Soares
First Published: 2013
Publisher: Elsevier for Pergamon
Citation: Expert Systems with Applications, 2013, forthcoming
Abstract: The visual analysis of Cardiotocographic (CTG) examinations is a very subjective process. The accurate detection and segmentation of the fetal heart rate (FHR) features and their time correlation with the uterine contractions (UC) allow a better diagnostic and the possibility of anticipation of many problems related to fetal distress. This paper presents a diagnostic aid system based on digital signal processing techniques to detect and segment changes in the FHR and the uterine tone signals automatically. The FHR baseline detection is proposed after pre-processing filtering. The detection line is an auxiliary signal based on the Baseline and a moving average. The Hilbert Transform is then used with adaptive thresholding techniques for identifying fiducial points on the signals. For an antepartum validation database, i.e., exams collected before labor, the positive predictivity value (PPV) found is 96.80% for the FHR decelerations, and 96.18% for the FHR accelerations. For an intrapartum validation database, the PPV found was 91.31% for the uterine contractions, 94.01% for the FHR decelerations, and 100% for the FHR accelerations. For the whole set of exams, PPV and SE were both 100% for the identification of FHR DIP II and prolonged decelerations.
ISSN: 0957-4174
Links: http://www.sciencedirect.com/science/journal/09574174/40
http://hdl.handle.net/2381/27848
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2013 Elsevier Ltd. Deposited with reference to the publisher's archiving policy available on the SHERPA/RoMEO website. NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
Appears in Collections:Published Articles, Dept. of Engineering

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