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Efficiency of automated detection of uterine contraction using tocography

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Monitoring of uterine contractile activity enables to control the progress of labour. Automated detection of contractions is to be an integral part of the signal analysis implemented in computer aided fetal surveillance system. Evaluation of efficiency of three algorithms for automated detection of uterine contractions in the signal of uterine mechanical activity is presented. These algorithms are based generally on analysis of the frequency distribution of signal values. The reference data in form of beginning and end of contraction episodes were obtained from human expert. Obtained results showed high efficiency of the algorithms tested where the best one ensured the sensitivity and positive predictive value equal to 92.2 and 97.2, respectively.
Rocznik
Tom
Strony
207--214
Opis fizyczny
Bibliogr. 15 poz., tab., wykr.
Twórcy
autor
  • Institute of Medical Technology and Equipment ITAM, 118 Roosevelt Str., 41-800 Zabrze
autor
  • Institute of Medical Technology and Equipment ITAM, 118 Roosevelt Str., 41-800 Zabrze
autor
  • Institute of Medical Technology and Equipment ITAM, 118 Roosevelt Str., 41-800 Zabrze
autor
  • Institute of Medical Technology and Equipment ITAM, 118 Roosevelt Str., 41-800 Zabrze
autor
  • Institute of Electronics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice
autor
  • Institute of Medical Technology and Equipment ITAM, 118 Roosevelt Str., 41-800 Zabrze
autor
  • Institute of Electronics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice
Bibliografia
  • [1] ABDULHAY E. W., OWEIS R. J., ALHADDAD A. M., SUBLABAN F. N., RADWAN M. A., ALMASAEED H. M. Noninvasive fetal heart rate monitoring techniques: Review article. Biomedical Science and Engineering, 2014, Vol. 2. pp. 53–67.
  • [2] AYRES-DE-CAMPOS D., BERNARDES J., GARRIDO A., MARQUES-DE-SA J., PEREIRA-LEITE L. SisPorto 2.0: a program for automated analysis of cardiotocograms. J. Matern. Fetal. Med., 2000, Vol. 9. pp. 311–318.
  • [3] BAKKER P., VAN GEIJN H. P. Uterine activity: implications for the condition of the fetus. J. Perinat. Med., 2008, Vol. 36. pp. 30–37.
  • [4] CHOURASIA V. S., TIWARI A. K. A review and comparative analysis of recent advancements in fetal monitoring techniques. Critical Reviews in Biomedical Engineering, 2008, Vol. 36. pp. 335–373.
  • [5] CHUDACEK V., SPILKA J., JANKU P., KOUCKY M., LHOTSKA L., HUPTYCH M. Automatic evaluation of intrapartum fetal heart rate recordings: a comprehensive analysis of useful features. Physiological Measurement, 2011, Vol. 32. pp. 1347–1360.
  • [6] CZABANSKI R., WROBEL J., JEZEWSKI J., LESKI J., JEZEWSKI M. Efficient evaluation of fetal wellbeing during pregnancy using methods based on statistical learning principles. Journal of Medical Imaging and Health Informatics, 2015, Vol. 5. pp. 1327–1336.
  • [7] DAWES G. S., MOULDEN M., REDMAN C. W. G. System 8000: Computerized antenatal fhr analysis. J. Perinat. Med., 1991, Vol. 19. pp. 47–51.
  • [8] JEZEWSKI J., HOROBA K., MATONIA A., WROBEL J. Quantitative analysis of contraction patterns in electrical activity signal of pregnant uterus as an alternative to mechanical approach. Physiological Measurement, 2005, Vol. 26. pp. 753– 767.
  • [9] JEZEWSKI J., WROBEL J., HOROBA K., GRACZYK S., GACEK A., SIKORA J. Computerized perinatal database for retrospective qualitative assessment of cardiotocographic traces. Proc. Healthcare Computing Conference HC96, 1996, Current Perspectives in Healthcare Computing. BJHC Ltd, pp. 187–196.
  • [10] PELLO L. C., ROSEVEAR S. K., DAWES G. S., MOULDEN M., REDMAN C. W. G. Computerized foetal heart analysis in labour. J. Obstet. Gynaecol., 1991, Vol. 78. pp. 602–610.
  • [11] PHILLIPS G. F., CALDER A. A. Units for evaluation of uterine contractility. Br. J. Obstet. Gynaecol., 1987, Vol. 94. pp. 236–241.
  • [12] ROJ D., HOROBA K., WROBEL J., KOTAS M., JEZEWSKI J., PRZYBYLA T. Telemedical application for centralized home care of high–risk pregnancy based on control sharing approach. IFMBE Proc. World Congress on Medical Physics and Biomedical Engineering, 2009, Vol. 25. pp. 59–62.
  • [13] ROOTH G., HUCH A., HUCH R. Guidelines for the use of fetal monitoring. Int. J. Gynaecol. Obstet., 1987, Vol. 25. pp. 159–167.
  • [14] WROBEL J., MATONIA A., HOROBA K., JEZEWSKI J., CZABANSKI R., PAWLAK A. P. P. Pregnancy telemonitoring with smart control of algorithms for signal analysis. Journal of Medical Imaging and Health Informatics, 2015, Vol. 5. pp. 1302–1310.
  • [15] WROBEL J., ROJ D., JEZEWSKI J., HOROBA K., KUPKA T., JEZEWSKI M. Evaluation of the robustness of fetal heart rate variability measures to low signal quality. Journal of Medical Imaging and Health Informatics, 2015, Vol. 5. pp. 1311–1318.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c2d94ffa-cd4e-4c13-ac60-95bf1bf7f416
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