Identification of fetal sufferance antepartum through a multiparametric analysis and a support vector machine

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 I, Issue , 2004, Pages 462-465

  Magenes, G ^a   Pedrinazzi, L ^a   Signorini, M G ^b  

^a UNIVERSITY OF PAVIA   (Italy)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Fetal Monitoring; Multiparametric Analysis; Support Vector Machines

Indexed keywords

FETAL MONITORING; LEARNING ALGORITHMS; PARAMETER ESTIMATION; POLYNOMIALS; PROBLEM SOLVING; TRANSDUCERS; VECTORS;

DIAGNOSTIC ABILITY; INDEPENDENT COMPONENT ANALYSIS (ICA); MULTIPARAMETRIC ANALYSIS; SUPPORT VECTOR MACHINES (SVM);

STATISTICAL METHODS;

EID: 11044232811     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. C.B. Martin, "Electronic fetal monitoring: a brief summary of its development, problems and prospects", Eur J Obstet Gynecol Reprod Biol;78(2):133-40, 1999.
2. H.P.Van-Geijn, "Developments in CTG analysis," Baillieres Clin. Obstet. Gynaecol., vol. 10(2), pp.185-209, 1996.
3. W.J. Parer, J.T. Parer, R.H. Holbrook, B.S.B. Block, "Validity of mathematical methods of quantitating fetal heart rate variability", Am. J. Obstet.Gynecol., Vol. 153, n.4, pp. 402-409, 1985.
4. G.S. Dawes, M. Moulden, C.W. Redman, "Improvements in computerized fetal heart rate analysis antepartum." J-Perinat-Med.; 24(1): 25-36, 1996
5. B. Pilgram, D.T. Kaplan, "A comparison of estimators for 1/f noise", Phys. D 114, 108-122, 1998.
6. S. M. Pincus, "Approximated entropy (ApEn) as a complexity measure," Chaos, Vol. 5 pp. 110-117, 1995.
7. C.K. Peng, S. Havlin, H.E. Stanley, A.L. Goldberger. "Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series". Chaos, vol.5, pp. 82-87, 1995.
8. M.G. Signorini, G. Magenes, S. Cerutti, D. Arduini, "Linear and Nonlinear Parameters for the Analysis of Fetal Heart Rate Signal from Cardiotocographic Recordings", IEEE Trans Biom Eng, vol.50, 3, 365-375, 2003.
9. R. Mantel, H.P. van Geijn, I.A Ververs., et al., "Automated analysis of antepartum fetal heart rate in relation to fetal rest-activity states: a longitudinal study of uncomplicated pregnancies using the Sonicaid System 8000," Eur.J.Obstet.Gynecol.Reprod.Biol., Vol. 71, 1, pp. 41-51, 1997.
10. B. Guijarro-Berdinas, A. Alonso-Betanzos, "Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness", Art. Intell. In Med., Elsevier, 24, 71-96, 2002.
11. Task Force of the Europ. Soc. of Cardiol. & North Am. Soc.of Pacing and Electrophys., "Heart Rate Variability, standard of measurement, physiological interpretation and clinical use," Circulation, vol 93, pp.1043-1065, 1996.
12. S. Haykin, "Neural Networks, a comprensive foundation", Prentice Hall International, 1999.
13. D.L. Hudson and M. E. Cohen, "Neural Networks and Artificial Intelligence for Biomedical Engineering", IEEE Press, New York, 2000.
14. G. Magenes, M.G. Signorini., D. Arduini, "Classification of cardiotochographic record by neural networks", ISBN 0-7695-0619-4, Proceedings of the IEEE-INNS-ENNS International Joint Conference, Volume: 3, pp: 637-641, 2000.
15. K. Maeda, Y. Noguchi, F. Matsumoto, "Evaluation of prolonged fetal monitoring with normal and pathologic outcome probabilities determined by artificial neural network". Fetal Diagn Ther. Sep-Oct;18(5):370-5, 2003.
16. M.G. Signorini, A. De Angelis, G. Magenes, R. Sassi, D. Arduini, S. Cerutti, "Classification of fetal pathologies through fuzzy inference systems based on a multiparametric analysis of fetal heart rate", Computers in Cardiology, Boston, pp.435-438, 2000.
17. G. Magenes, M.G. Signorini, R. Sassi, "Automatic diagnosis of fetal heart rate: comparison of different methodological approaches", Proc. IEEE-EMBS Intl. Conf., vol.2, 1607-1610, 2001.
18. V.Vapnik, "Statistical Learning Theory", N.Y. Wiley, 1998.