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Reseach Article

Statistical Investigation of the Effects of Fetal Heart Rate (FHR) and Uterine Contractions (UC) Signals on Apgar

by Baris Doruk Gungor, Muhammed Kursad Ucar, Ferda Bozkurt
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 5
Year of Publication: 2015
Authors: Baris Doruk Gungor, Muhammed Kursad Ucar, Ferda Bozkurt
10.5120/20551-2927

Baris Doruk Gungor, Muhammed Kursad Ucar, Ferda Bozkurt . Statistical Investigation of the Effects of Fetal Heart Rate (FHR) and Uterine Contractions (UC) Signals on Apgar. International Journal of Computer Applications. 117, 5 ( May 2015), 17-21. DOI=10.5120/20551-2927

@article{ 10.5120/20551-2927,
author = { Baris Doruk Gungor, Muhammed Kursad Ucar, Ferda Bozkurt },
title = { Statistical Investigation of the Effects of Fetal Heart Rate (FHR) and Uterine Contractions (UC) Signals on Apgar },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 5 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number5/20551-2927/ },
doi = { 10.5120/20551-2927 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:31.003106+05:30
%A Baris Doruk Gungor
%A Muhammed Kursad Ucar
%A Ferda Bozkurt
%T Statistical Investigation of the Effects of Fetal Heart Rate (FHR) and Uterine Contractions (UC) Signals on Apgar
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 5
%P 17-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Apgar scoring is a method which is a fast and an effective way of understanding whether newborn babies are healthy or not. Any intervention to the baby such as resuscitation or intubation is done, if necessary, after evaluating the Apgar score and examining various physiological data. Shortening the response time for medical support is vitally important for babies. In this study, the physiological data gathered from mother and fetus along with the features extracted from FHR (fetal heart rate) and UC (uterus contraction) signals were examined in order to determine whether the newborn will have any immediate problems that will need medical support before the baby was actually born and a study towards Apgar scoring was made. There were two classes (intervention, non-intervention) used in this study. Data was analyzed by using Mann-Whitney U test. The classes were compared in terms of statistical data, FHR and UC signals and according to the obtained the results, intervention and non-intervention classes have been shown to have a significant difference for 5 extracted features. However, no significant changes have been detected in other features.

References
  1. N. Comart, Elektronik Fetal Kalp H?z? Monitörizasyonu: Normal Monitör, Fetal Stres, Fetal Distres ile ?li?kili Erken Neonatal Sonuçlar, ?stanbul, 2006.
  2. N. Çiçek, C. Akyürek, Ç. Çelik and A. Haberal, Kad?n Hastal?klar? ve Do?um Bilgisi, ?stanbul, 2006.
  3. A. Goldberger, L. Amaral, L. Glass, J. Hausdorff, P. Ivanov, R. Mark, J. Mietus, G. Moody, C. -K. Peng and H. Stanley, "The CTU-UHB Intrapartum Cardiotocography Database," PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals, vol. 101, no. 23, pp. e215-e220, 2000.
  4. R. Alpar, Uygulamal? ?statistik ve Geçerlik-Güvenilirlik, Ankara: Detay Yay?nc?l?k, 2012.
  5. J. M. Bland and D. G. Altman, "Measurement Error," Biomedical Journal, no. 312, 1996.
  6. S. Gorard, "Revisiting a 90-Year-Old Debate: The Advantages of The Mean Deviation," in British Educational Research Association Annual Conference, 2004.
  7. S. Gorard, "Revisiting a 90-Year-Old Debate: The Advantages of The Mean Deviation," in British Educational Research Association Annual Conference, 2004.
  8. R. A. Groeneveld and G. Meeden, "Measuring Skewness and Kurtosi," The Statistician, no. 33, pp. 391-399, 1984.
  9. P. T. Hippel, "Mean, Median, and Skew: Correcting a Textbook Rule," Journal os Statistic Education, no. 13, 2005.
  10. S. Brown, Measures of Shape: Skewness and Kurtosis, Tompkins Cortland Community College, 2008.
  11. Ç. Ar?kan and M. Özdemir, "Baz? Güç Kalitesi Bozunumlar?n?n Belirlenmesinde Çarp?kl?k ve Bas?kl?k Katsay?lar? ?le Dalgac?k Katsay?lar?ndan Enerji Yöntemiyle Özellik Ç?kar?m? Yönteminin Kar??la?t?r?lmas?," in V. ENERJ? VER?ML?L??? VE KAL?TES? SEMPOZYUMU, Kocaeli, 2013.
  12. J. Fu, N. Li, L. Li, R. Luo and Q. Zhou, The Obtainment of Particle Shape Factor by the Combination of Experimental Data and Fluid-particle Reaction Model, Powder Technology, 2015.
  13. ?. Bülbül, Tan?mlay?c? ?statistik, ?stanbul: Der Yay?nlar?, 2000.
  14. N. Çömlekçi, Temel ?statistik ?lke ve Teknikleri, Bilim Teknik Yay?nevi, 1994.
  15. M. Y?ld?z, Uyku Evrelerinin EEG ??aretleri Kullan?larak S?n?fland?r?lmas?nda Yeni Bir Yakla??m, Sakarya Üviversitesi, Fen Bilimleri Enstitüsü, 2009.
  16. M. Vourkas, G. Papadourakis and S. Micheloyannis, "Use of ANN and," 1st International, pp. 327-332, 2000.
  17. E. Av?ar, Tek-S?n?f Destek Vektör Makineleri Kullan?larak Epileptik EEG ??aretlerinin S?n?fland?r?lmas?, ?stanbul Üniversitesi, Fen Bilimleri Enstitüsü, 2009.
  18. V. Apgar, "A Proposal for a New Method of Evaluation of the Newborn Infant," Current Researches in Anesthesia and Analgesia, July-August 1953.
  19. V. Chudacek, J. Spilka, P. Janku, M. Koucky, L. Lhotska and M. Huptych, "Automatic Evaluation of Intrapartum Fetal Heart Rate Recordings: a Comprehensive Analysis of Useful Features," IOPscience, no. 32, pp. 1347-1360, 2011.
  20. A. Georgieva, S. J. Payne, M. Moulden and C. W. G. Redman, "Artificial Neural Networks Applied to Fetal Monitoring in Labour," Neural Computing and Applications, no. 22, pp. 85-93, 2013.
  21. M. Jezewski, R. Czabanski, J. Wrobel and K. Horoba, "Analysis of Extracted Cardiotocographic Signal Features to Improve Automated Prediction of Fetal Outcome," Biocybernetics and Biomedical Engineering, vol. 30, no. 4, pp. 29-47, 2010.
  22. M. Köseo?lu and R. Yamak, Uygulamal? ?statistik ve Ekonometri, Trabzon: Celepler Matbaac?l?k, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Apgar Score Cardiotocography Fetal Heart Rate (FHR) Uterine Contraction (UC) Mann-Whitney U Test.