|3/2015 - 23|
Classification of Parameters Extracted from Cardiotocographic Signals for Early Detection of Metabolic Acidemia in NewbornsROTARIU, C. , COSTIN, H. , PASARICA, A. , NEMESCU, D.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,256 KB) | Citation | Downloads: 198 | Views: 744|
cardiotocographic signals, fetal heart rate monitoring, metabolic acidemia detection, pattern classification, spectral analysis
fetal(16), rate(10), heart(10), neonatal(6), analysis(5), prediction(4), obstretics(4), monitoring(4), gynecology(4)
No common words between the references section and the paper title.
About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 161 - 166
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03023
Web of Science Accession Number: 000360171500023
SCOPUS ID: 84951088832
Fetal acidosis is reflected by the values of umbilical cord pH and base deficit (BDecf): normal recordings (pH over 7.2 and BDecf under 8 mmol/l) and abnormal recordings (pH under 7.2 and BDecf over 8 mmol/l). The purpose of this paper is to present the implementation of an automated system for detecting fetal acidosis in cardiotocographic recordings. The method uses spectral analysis of medium (0.07-0.13 Hz) and high (0.13-1 Hz) frequency spectrum. We implement the algorithm for segments of the recordings without signal loss for better classification. We determined the normalized medium and high frequency components and mid to high frequency ratio. The recordings in the database are divided into a control group (100 normal recordings) and a test group (431 normal or abnormal recordings). A t-test with the p value under 0.05 between the two groups is used to classify the test group. The classification is improved by including the presence of late and prolonged decelerations in the classification process, obtaining the final results, which are comparable to the best ones in current literature.
|References|||||Cited By «-- Click to see who has cited this paper|
| A. C. Gjerris, J. Staer-Jensen, J. S. Jorgensen, T. Bergholt, C. Nickelsen, "Umbilical cord blood lactate: A valuable tool in the assessement of fetal blood acidosis," European Journal of Obstretics & Gynecology and Reproductive Biology, vol. 139, Issue 1, pp. 16-20, Jan. 2008. |
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 34]
 E. Soncini, S. Paganelli, C. Vezzani, G. Gargano, G. Battista, "Inatrapartum fetal heart rate monitoring: evaluation of standardized system of interpretation for prediction of metabolic acidosis at delivery and neonatal neurological morbidity," The Journal of Maternal-Fetal & Neonatal Medicine, vol. 27, no. 14, pp. 1465-1469, Sept. 2014.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]
 E. Chandraharan, "Fetal scalp blood sampling during labor: is it a useful diagnostic test or a historical test that no longer has a place in modern clinical obstretics?," BJOG: An international Journal of Obstreticts & Gynaecology, vol. 121, Issue 9, pp. 1056-1062, Aug. 2014.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Record]
 J. Y.Kwon, I. Y. Park, J.C. Shin, J. Song, R. Tafreshi, J. Lim, "Specific changes in spectral power of fetal heart rate variability related to fetal acidemia during labor: Comparison between preterm and term fetuses," Early Human Development, vol. 88, Issue 4, pp. 203-207, April 2012.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 10]
 M. P. Nageotte, "Featl heart rate monitoring," Seminars in Fetal & Neonatal Medicine, vol. 20, pp. 1-5, Mar. 2015.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 6]
 A. Indrayan, "Medical Biostatistics, Third Edition", Chapman & Hall/CRC Press, USA, pp. 280-283, 2012
 A. Costa, D. Ayres-de-Campos, F. Costa, C. Santos, J. Bernardes "Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals", American Journal of Obstetrics and Gynecology, vol. 201, pp. 464-452, Nov. 2009.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 37]
 C. Elliott, P. Warrick, E. Graham, E. Hamilton, "Graded classification of fetal heart rate tracings: association with neonatal metabolic acidosis and neurologic morbidity," American Journal of Obstetrics and Gynecology, vol. 202, no. 3, pp. 258.e1-258.e8, Mar. 2010.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 41]
 S. Siira, "Intrapartum hypoxia and power spectral analysis of fetal heart rate variability," Uniprint Suomen Yliopistopaino Oy - Oulu, Finland, pp. 33-42, 2012
 J. Spilka, V. Chudacek, M. Koucky, M. Huptych, P. Janku, G. Georgoulas, C. Stylios, "Using nonlinear features for fetal heart rate classification," Biomedical Signal Processing and Control, vol. 7, Issue 4, pp. 350-357, July 2012.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 27]
 A. Georgieva, S. J. Payne, M. Moulden, C. W. G. Redman. "Artificial neural networks applied to fetal monitoring in labour,". Neural Computing and Applications, vol. 22, pp. :85-93, Jan. 2013.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 14]
 V. Chudácek, J. Spilka, M. Burša, et al. , "Open access intrapartum CTG database", BMC Pregnancy and Childbirth, pp. 14:16, Jan. 2014.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 26]
 G. S. Dawes, M. Lobb, M. Moulden, C.W. Redman, T. Wheeler, "Antenatal cardiotocogram quality and interpretation using computers," BJOG: An International Journal of Obstretics & Gynaecology, vol. 99, Issue 10, pp. 791-797, Aug. 2005.
[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 42]
 P. A. Warrick, E.Ff Hamilton, D. Precup, R. Kearney, "Classification of normal and hypoxic fetuses from systems modeling of intrapartum cardiotocography," IEEE Transactions on Biomedical Engineering, vol. 57, Issue 4, pp. 771-779, April 2010.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 46]
 E. M. Graatsma, "Monitoring of Fetal Heart Rate and Uterine Activity", Ridderprint BV, Amsterdam, Holland, pp. 39-55, 2010
 C-Y. Chen, C. Yu, C-C. Chang, C-W. Lin, "Comparison of a Novel Computerized Analysis Program and Visual Interpretation of Cardiotocography," PLoS ONE, vol. 9, Issue 12, Dec. 2014.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 1]
 U. Schneider, E. Schleussner, A. Friedler, S. Jaekel, .M. Liehr, J. Haueisen, D. Hoyer, "Fetal heart rate variability reveals defferential dynamics in the intrauterine development of the sympathetic and parasympathetic branches of the autonomic nervous system," Physiologcal Measurements, vol. 30, no. 2, pp. 215-226, Jan. 2009.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 33]
 V. Munteanu, D. Tarniceriu, "Estimation theory and optimal filtering," Ed. Technopress, Iasi, Romania, pp. 306-310, 2005
 V. Maier, S. G. Pavel, C. D. Maier, I. Birou, "Correct Application of the Discrete Fourier Transform in Harmonics," Advances in Electrical and Computer Engineering, vol. 8, no. 1, pp. 26-30, 2008,
[CrossRef] [Full Text] [SCOPUS Times Cited 7]
 M. Jezewski, R. Czabanski, J. Wrobel, K. Horoba, "Analysis of extracted cardiotocographic signal features to improve automated prediction of fetal outcome", Biocybernetics and Biomedical Cardiology, vol. 30, no.4, pp. 29-47, Feb. 2010.
 A. G. Cahill, K. A. Roehl, A. O. Odibo, G. A. Macones, "Association and prediction of neonatal acidemia," American Journal of Obstretics and Gynecology, vol. 207, Issue 3, pp. 206.e1-206.e8, Sept. 2012.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 32]
 Y. Hatakeyama, H. Kataoka, N. Nakajima, T. Watabe, Y. Okuhara, "Level evaluation system for cardiotocography," 15th International Symposium on Soft Computing and Intelligence Systems, pp. 265-269, Dec. 2014.
[CrossRef] [SCOPUS Times Cited 1]
 L. Jimenez, R. Gonzalez, M. J. Gaitan, S. Carrasco, C. Vargas, "Computerized algorithm for baseline estimation of fetal heart rate," Computers in Cardiology, vol. 29, pp. 477-480, Sept. 2002.
[CrossRef] [Web of Science Times Cited 4]
 H. J. Seltman, "Experimental design and analysis," Carnegie Melon University, Chapter 6, pp. 141-161, Nov. 2014
Web of Science® Citations for all references: 239 TCR
SCOPUS® Citations for all references: 358 TCR
Web of Science® Average Citations per reference: 10 ACR
SCOPUS® Average Citations per reference: 14 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2016-12-04 01:25 in 97 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.