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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 236896, 9 pages
http://dx.doi.org/10.1155/2015/236896
Research Article

Evaluation of the Acceleration and Deceleration Phase-Rectified Slope to Detect and Improve IUGR Clinical Management

1Department of Obstetrical-Gynaecological and Urological Science and Reproductive Medicine, Federico II University, 5 Pansini Street, 80131 Naples, Italy
2Computational Physiology and Clinical Inference Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, 25 Carleton Street, Cambridge, MA 02139, USA
3Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 5 Ferrata Street, 27100 Pavia, Italy
4Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy

Received 6 September 2015; Revised 16 November 2015; Accepted 17 November 2015

Academic Editor: Joao Cardoso

Copyright © 2015 Salvatore Tagliaferri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. American College of Obstetricians and Gynecologists, “ACOG Practice bulletin no. 134: fetal growth restriction,” Obstetrics and Gynecology, vol. 121, no. 5, pp. 1122–1133, 2013. View at Publisher · View at Google Scholar
  2. A. A. Baschat, “Neurodevelopment following fetal growth restriction and its relationship with antepartum parameters of placental dysfunction,” Ultrasound in Obstetrics and Gynecology, vol. 37, no. 5, pp. 501–514, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. O. M. Turan, S. Turan, C. Berg et al., “Duration of persistent abnormal ductus venosus flow and its impact on perinatal outcome in fetal growth restriction,” Ultrasound in Obstetrics and Gynecology, vol. 38, no. 3, pp. 295–302, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Lees, N. Marlow, B. Arabin et al., “Perinatal morbidity and mortality in early-onset fetal growth restriction: cohort outcomes of the trial of randomized umbilical and fetal flow in Europe (TRUFFLE),” Ultrasound in Obstetrics and Gynecology, vol. 42, no. 4, pp. 400–408, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. S. M. Pincus and R. R. Viscarello, “Approximate entropy: a regularity measure for fetal heart rate analysis,” Obstetrics and Gynecology, vol. 79, no. 2, pp. 249–255, 1992. View at Google Scholar · View at Scopus
  6. M. G. Signorini, G. Magenes, S. Cerutti, and D. Arduini, “Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings,” IEEE Transactions on Biomedical Engineering, vol. 50, no. 3, pp. 365–374, 2003. View at Publisher · View at Google Scholar · View at Scopus
  7. A. Bauer, J. W. Kantelhardt, A. Bunde et al., “Phase-rectified signal averaging detects quasi-periodicities in non-stationary data,” Physica A: Statistical Mechanics and its Applications, vol. 364, pp. 423–434, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. K. Butt, K. Lim, and Society of Obstetricians and Gynaecologists of Canada, “Determination of gestational age by ultrasound,” Journal of Obstetrics and Gynaecology Canada, vol. 36, no. 2, pp. 171–183, 2014. View at Google Scholar · View at Scopus
  9. F. Figueras and E. Gratacós, “Update on the diagnosis and classification of fetal growth restriction and proposal of a stage-based management protocol,” Fetal Diagnosis and Therapy, vol. 36, no. 2, pp. 86–98, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. R. Kessous, B. Aricha-Tamir, A. Y. Weintraub, E. Sheiner, and R. Hershkovitz, “Umbilical artery peak systolic velocity measurements for prediction of perinatal outcome among IUGR fetuses,” Journal of Clinical Ultrasound, vol. 42, no. 7, pp. 405–410, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Ebbing, S. Rasmussen, and T. Kiserud, “Middle cerebral artery blood flow velocities and pulsatility index and the cerebroplacental pulsatility ratio: longitudinal reference ranges and terms for serial measurements,” Ultrasound in Obstetrics & Gynecology, vol. 30, no. 3, pp. 287–296, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Bhide, G. Acharya, C. M. Bilardo et al., “ISUOG practice guidelines: use of Doppler ultrasonography in obstetrics,” Ultrasound in Obstetrics and Gynecology, vol. 41, no. 2, pp. 233–239, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. C. C. Lees, N. Marlow, A. van Wassenaer-Leemhuis et al., “2 Year neurodevelopmental and intermediate perinatal outcomes in infants with very preterm fetal growth restriction (TRUFFLE): a randomised trial,” The Lancet, vol. 385, no. 9983, pp. 2162–2172, 2015. View at Google Scholar
  14. S. P. Chauhan, B. D. Cowan, E. F. Meydrech, E. F. Magann, J. C. Morrison, and J. N. Martin Jr., “Determination of fetal acidemia at birth from a remote umbilical arterial blood gas analysis,” American Journal of Obstetrics and Gynecology, vol. 170, no. 6, pp. 1705–1712, 1994. View at Publisher · View at Google Scholar · View at Scopus
  15. D. Arduini, G. Rizzo, G. Piana, A. Bonalumi, P. Brambilla, and C. Romanini, “Computerized analysis of fetal heart rate: I. Description of the system (2CTG),” J Mat Fet Inv, vol. 3, pp. 159–163, 1993. View at Google Scholar
  16. American College of Obstetricians and Gynecologists, “ACOG practice bulletin no 106: intrapartum fetal heart rate monitoring: nomenclature, interpretation, and general management principles,” Obstetrics & Gynecology, vol. 114, pp. 192–202, 2009. View at Google Scholar
  17. M. G. Signorini, A. Fanelli, and G. Magenes, “Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technology,” Computational and Mathematical Methods in Medicine, vol. 2014, Article ID 707581, 10 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Fanelli, G. Magenes, M. Campanile, and M. G. Signorini, “Quantitative assessment of fetal well-being through ctg recordings: a new parameter based on phase-rectified signal average,” IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 5, pp. 959–966, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. S. M. Pincus, “Approximate entropy (ApEn) as a complexity measure,” Chaos, vol. 5, no. 1, pp. 110–117, 1995. View at Publisher · View at Google Scholar · View at Scopus
  20. J. S. Richman and J. R. Moorman, “Physiological time-series analysis using approximate and sample entropy,” The American Journal of Physiology—Heart and Circulatory Physiology, vol. 278, no. 6, pp. H2039–H2049, 2000. View at Google Scholar · View at Scopus
  21. A. Lempel and J. Ziv, “Multiscale entropy analysis of complex physiologic time series,” IEEE Transactions on Information Theory, vol. 22, no. 1, pp. 75–81, 1976. View at Google Scholar · View at Scopus
  22. E. A. Huhn, S. Lobmaier, T. Fischer et al., “New computerized fetal heart rate analysis for surveillance of intrauterine growth restriction,” Prenatal Diagnosis, vol. 31, no. 5, pp. 509–514, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. A. Bauer, J. W. Kantelhardt, P. Barthel et al., “Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: Cohort Study,” The Lancet, vol. 367, no. 9523, pp. 1674–1681, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. European Perinatal Health Report, Health and Care of Pregnant Women and Babies in Europe in 2010.
  25. T. Stampalija, D. Casati, M. Montico et al., “Parameters influence on acceleration and deceleration capacity based on trans-abdominal ECG in early fetal growth restriction at different gestational age epochs,” European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 188, pp. 104–112, 2015. View at Publisher · View at Google Scholar
  26. A. A. Baschat, “Fetal responses to placental insufficiency: an update,” BJOG, vol. 111, no. 10, pp. 1031–1041, 2004. View at Publisher · View at Google Scholar · View at Scopus
  27. J. de Haan, J. H. van Bemmel, B. Versteeg et al., “Quantitative evaluation of fetal heart rate patterns. I. Processing methods,” European Journal of Obstetrics and Gynecology and Reproductive Biology, vol. 1, no. 3, pp. 95–102, 1971. View at Publisher · View at Google Scholar · View at Scopus
  28. X. Li, D. Zheng, S. Zhou, D. Tang, C. Wang, and G. Wu, “Approximate entropy of fetal heart rate variability as a predictor of fetal distress in women at term pregnancy,” Acta Obstetricia et Gynecologica Scandinavica, vol. 84, no. 9, pp. 837–843, 2005. View at Publisher · View at Google Scholar · View at Scopus
  29. R. M. Grivell, Z. Alfirevic, G. M. Gyte, and D. Devane, “Antenatal cardiotocography for fetal assessment,” Cochrane Database of Systematic Reviews, no. 1, Article ID CD007863, 2010. View at Google Scholar
  30. E. M. Graatsma, E. J. H. Mulder, B. Vasak et al., “Average acceleration and deceleration capacity of fetal heart rate in normal pregnancy and in pregnancies complicated by fetal growth restriction,” The Journal of Maternal-Fetal & Neonatal Medicine, vol. 25, no. 12, pp. 2517–2522, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. M. Ferrario, G. Magenes, M. Campanile, I. F. Carbone, A. Di Lieto, and M. G. Signorini, “Multiparameter analysis of heart rate variability signal for the investigation of high risk fetuses,” in Proceedings of the Annual International Conference of the IEEE on Engineering in Medicine and Biology Society (EMBC '09), pp. 4662–4665, IEEE, Minneapolis, Minn, USA, September 2009. View at Publisher · View at Google Scholar · View at Scopus