Complexity-loss in fetal heart rate dynamics during labor as a potential biomarker of acidemia

Early Human Development

Volumn 90, Issue 1, 2014, Pages 67-71

  Costa, Madalena D ^a,b   Schnettler, William T ^a   Amorim Costa, Célia ^c   Bernardes, João ^c   Costa, Antónia ^c   Goldberger, Ary L ^a,b   Ayres de Campos, Diogo ^c  

^a HARVARD MEDICAL SCHOOL   (United States)

^b HARVARD UNIVERSITY   (United States)

^c INEB INSTITUTO DE ENGENHARIA BIOMÉDICA   (Portugal)

Author keywords

Cardiotocography; Complexity analysis; Heart rate; Multiscale entropy

Indexed keywords

ACIDEMIA; ARTICLE; CONTROLLED STUDY; DISEASE MARKER; ENTROPY; FEMALE; FETUS ELECTROCARDIOGRAPHY; FETUS HEART RATE; HUMAN; INTRAUTERINE GROWTH RETARDATION; LABOR; MAJOR CLINICAL STUDY; MALE; NEWBORN; NEWBORN DISEASE; NONHUMAN; PH; UMBILICAL ARTERY;

CARDIOTOCOGRAPHY; COMPLEXITY ANALYSIS; FETAL MONITORING; HEART RATE; MULTISCALE ENTROPY;

CARDIOTOCOGRAPHY; CASE-CONTROL STUDIES; DATA INTERPRETATION, STATISTICAL; FEMALE; HEART RATE, FETAL; HUMANS; HYDROGEN-ION CONCENTRATION; INFANT, NEWBORN; LABOR, OBSTETRIC; MALE; METABOLISM, INBORN ERRORS; PREGNANCY;

EID: 84891737584     PISSN: 03783782     EISSN: 18726232     Source Type: Journal    
DOI: 10.1016/j.earlhumdev.2013.10.002     Document Type: Article

References (26)

1. Bernardes J., Costa-Pereira A., Ayres-de-Campos D., van Geijn H.P., Pereira-Leite L. Evaluation of interobserver agreement of cardiotocograms. Int J Gynaecol Obstet 1997, 57:33-37.
2. Ayres-de-Campos D., Bernardes J., Costa-Pereira A., Pereira-Leite L. Inconsistencies in classification by experts of cardiotocograms and subsequent clinical decision. Br J Obstet Gynaecol 1999, 106:1307-1310.
3. Palomaki O., Luukkaala T., Luoto R., Tuimala R. Intrapartum cardiotocography - the dilemma of interpretational variation. J Perinat Med 2006, 34:298-302.
4. Alfirevic Z., Devane D., Gyte G.M. Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour. Cochrane Database Syst Rev 2006, 3:CD006066.
5. Dawes G.S., Moulden M., Redman C.W. System 8000: computerized antenatal FHR analysis. J Perinat Med 1991, 19:47-51.
6. Ayres-de-Campos D., Sousa P., Costa A., Bernardes J. Omniview-SisPorto 3.5 - a central fetal monitoring station with online alerts based on computerized cardiotocogram+ST event analysis. J Perinat Med 2008, 36:260-264.
7. Kwon J.Y., Park I.Y., Shin J.C., Song J., Tafreshi R., Lim J. Specific change in spectral power of fetal heart rate variability related to fetal acidemia during labor: comparison between preterm and term fetuses. Early Hum Dev 2012, 88:203-207.
8. van Laar J.O., Peters C.H., Vullings R., Houterman S., Bergmans J.W., Oei S.G. Fetal autonomic response to severe acidaemia during labour. BJOG 2010, 117:429-437.
9. Logier R., De Jonckheere J., Jeanne M., Matis R. Fetal distress diagnosis using heart rate variability analysis: design of a high frequency variability index. Conf Proc IEEE Eng Med Biol Soc 2008, 2008:4728-4731.
10. Goncalves H., Rocha A.P., Ayres-de-Campos D., Bernardes J. Linear and nonlinear fetal heart rate analysis of normal and acidemic fetuses in the minutes preceding delivery. Med Biol Eng Comput 2006, 44:847-855.
11. Salamalekis E., Hintipas E., Salloum I., Vasios G., Loghis C., Vitoratos N., et al. Computerized analysis of fetal heart rate variability using the matching pursuit technique as an indicator of fetal hypoxia during labor. J Matern Fetal Neonatal Med 2006, 19:165-169.
12. Siira S.M., Ojala T.H., Vahlberg T.J., Jalonen J.O., Valimaki I.A., Rosen K.G., et al. Marked fetal acidosis and specific changes in power spectrum analysis of fetal heart rate variability recorded during the last hour of labour. BJOG 2005, 112:418-423.
13. Chung D.Y., Sim Y.B., Park K.T., Yi S.H., Shin J.C., Kim S.P. Spectral analysis of fetal heart rate variability as a predictor of intrapartum fetal distress. Int J Gynaecol Obstet 2001, 73:109-116.
14. Costa M., Goldberger A.L., Peng C.K. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 2002, 89:068102.
15. Costa M., Goldberger A.L., Peng C.K. Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlin Soft Matter Phys 2005, 71:021906.
16. Peng C.K., Costa M., Goldberger A.L. Adaptive data analysis of complex fluctuations in physiologic time series. Adv Adapt Data Anal 2009, 1:61-70.
17. Goldberger A.L., Peng C.K., Lipsitz L.A. What is physiologic complexity and how does it change with aging and disease?. Neurobiol Aging 2002, 23:23-26.
18. Goldberger A.L., Amaral L.A., Hausdorff J.M., Ivanov P., Peng C.K., Stanley H.E. Fractal dynamics in physiology: alterations with disease and aging. Proc Natl Acad Sci U S A 2002, 99(Suppl. 1):2466-2472.
19. Ferrario M., Magenes G., Campanile M., Carbone I.F., Di Lieto A., Signorini M.G. Multiparameter analysis of heart rate variability signal for the investigation of high risk fetuses. Conf Proc IEEE Eng Med Biol Soc 2009, 2009:4662-4665.
20. Ferrario M., Signorini M.G., Magenes G. Complexity analysis of the fetal heart rate variability: early identification of severe intrauterine growth-restricted fetuses. Med Biol Eng Comput 2009, 47:911-919.
21. Costa A., Ayres-de-Campos D., Costa F., Santos C., Bernardes J. Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals. Am J Obstet Gynecol 2009, 201(464):e1-e6.
22. Costa M.D., Peng C.K., Goldberger A.L. Multiscale analysis of heart rate dynamics: entropy and time irreversibility measures. Cardiovasc Eng 2008, 8:88-93.
23. Costa M., Ghiran I., Peng C.K., Nicholson-Weller A., Goldberger A.L. Complex dynamics of human red blood cell flickering: alterations with in vivo aging. Phys Rev E Stat Nonlin Soft Matter Phys 2008, 78:020901.
24. Akselrod S., Gordon D., Ubel F.A., Shannon D.C., Berger A.C., Cohen R.J. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 1981, 213:220-222.
25. Heart rate variability: standards of measurement, physiological interpretation and clinical use Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 1996, 93:1043-1065.
26. Huang N.E., Shen Z., Long S.R., Wu M.L.C., Shih H.H., Zheng Q.N., et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond A 1998, 454:903-995.