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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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  3/2015 - 23
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Classification of Parameters Extracted from Cardiotocographic Signals for Early Detection of Metabolic Acidemia in Newborns

ROTARIU, C. See more information about ROTARIU, C. on SCOPUS See more information about ROTARIU, C. on IEEExplore See more information about ROTARIU, C. on Web of Science, COSTIN, H. See more information about  COSTIN, H. on SCOPUS See more information about  COSTIN, H. on SCOPUS See more information about COSTIN, H. on Web of Science, PASARICA, A. See more information about  PASARICA, A. on SCOPUS See more information about  PASARICA, A. on SCOPUS See more information about PASARICA, A. on Web of Science, NEMESCU, D. See more information about NEMESCU, D. on SCOPUS See more information about NEMESCU, D. on SCOPUS See more information about NEMESCU, D. on Web of Science
 
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Download PDF pdficon (1,256 KB) | Citation | Downloads: 198 | Views: 744

Author keywords
cardiotocographic signals, fetal heart rate monitoring, metabolic acidemia detection, pattern classification, spectral analysis

References keywords
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

Abstract
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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

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[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 34]


[2] 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]


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[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 10]


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[8] 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]


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[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 42]


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References Weight

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.




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