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Smart selection of signal analysis algorithms for telecare of high-risk pregnancy

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Telemedical system for fetal home monitoring with smart selection of signal analysis algorithms is presented in this paper. Fetal monitoring signals are provided by a mobile instrumentation consisting of bioelectrical signal recorder and tablet PC which retrieves and processes the data as well as provides wireless data transmission based on Internet. The fetal surveillance system enables analysis, dynamic presentation and archiving of acquired signals and medical data. Novelty of the proposed approach relies on smart fitting of the algorithms for analysis of the abdominal signals in mobile instrumentation, as well as on controlling of the fetal monitoring session from the surveillance center. These actions are performed automatically through continuous analyzing of the signal quality and the reliability of the quantitative parameters determined for the acquired signals. Using that approach the amount and content of data transmitted through remote channels to the surveillance center can be controlled to ensure the most reliable assessment of the fetal well-being.
Rocznik
Tom
Strony
27--33
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
  • Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland
autor
  • Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland
autor
  • Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland
autor
  • Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland
  • Institute of Electronics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland
autor
  • Institute of Electronics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland
autor
  • Institute of Computer Science, University of Silesia, 39 Bedzinska Str., 41-200 Sosnowiec, Poland
Bibliografia
  • [1] CZABANSKI R., JEZEWSKI J., MATONIA A. et al., Computerized Analysis of Fetal Heart Rate Signals as the Predictor of Neonatal Acidemia, Expert Syst. Appl., 2012, 39, pp. 11846-11860.
  • [2] CZABANSKI R., JEZEWSKI M., WROBEL J., et al., Neuro-fuzzy approach to the classification of fetal cardiotocograms, IFMBE Proc. 14th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, Riga, 2008, Vol. 20, pp. 446-449.
  • [3] DI LIETO A., DE FALCO M., CAMPANILE M., et al., Regional and international prenatal telemedicine network for computerized antepartum cardiotocography, Telemed. J. E. Health, 2008, 14(1), pp. 49-54.
  • [4] FANELLI A., SIGNORINI M. G., FERRARIO M., et al., Telefetalcare: a first prototype of a wearable fetal electrocardiograph, Conf. Proc. IEEE Eng. Med. Biol. Soc., 2011, pp. 6899-902, doi: 10.1109/IE MBS.2011.6091737.
  • [5] FUCHS T., Values of T/QRS ratios measured during normal and post-term pregnancies, J. Perinat. Med., 2014, 42(3), pp. 349-57.
  • [6] GODINEZ M., JIMENEZ A., ORTIZ R., PENA M., On-line fetal heart rate monitor by phonocardiography, IEEE, 2004, Vol. 4, pp. 3141-3144.
  • [7] HOD M., KERNER R., Telemedicine for antenatal surveillance of high-risk pregnancies with ambulatory and home fetal rate monitoring: an update, J. Perinat. Med., 2003, Vol. 31, pp. 195-200.
  • [8] IBRAHIMY M. I., AL-KHATEEB K. A. S., HASAN M. A., MOTAKABBER S. M. A., An emergency medical care network system for fetal ECG monitoring, Proceedings 6th IEEE International Symposium on Electronic Design, Test and Application, 2011, pp. 176-179.
  • [9] JEZEWSKI J., HOROBA K., MATONIA A., et al., A new approach to cardiotocographic fetal monitoring based on analysis of bioelectrical signals, Proc. 25th IEEE/EMBS, Cancum, 2003, pp. 3145-3149.
  • [10] JEZEWSKI J., MATONIA A., KUPKA T., et al., Determination of the fetal heart rate from abdominal signals: evaluation of beat-to-beat accuracy in relation to the direct fetal electrocardiogram, Biomed. Tech., 2012, 57(5), pp. 383-394.
  • [11] KAZANTSEV A., PONOMAREVA J., KAZANTSEV P., et al, Development of e-health network for in-home pregnancy surveillance based on artificial intelligence, IEEE-EMBS Int. Conf. Biomed. and Health Inform., 2012, pp. 82-84.
  • [12] KOTAS M., JEZEWSKI J., HOROBA K., et al., Application of spatio-temporal filtering to fetal electrocardiogram enhancement, Comput. Meth. Prog. Bio., 2011, 104(1), pp. 1-9.
  • [13] KOTAS M., JEZEWSKI J., MATONIA A., et al., Towards noise immune detection of fetal QRS complexes, Comput. Meth. Prog. Bio., 2010, 97(3), pp. 241-256.
  • [14] MATONIA A., JEZEWSKI J., HOROBA K., et al., The maternal ECG suppression algorithm for efficient extraction of the fetal ECG from abdominal signal, Proc. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, 2006, pp. 3106-3109.
  • [15] MATONIA A., JEEWSKI J., KUPKA T., et al., The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability. Med. Biol. Eng. Comput., 2006, 44(5), pp. 393-403.
  • [16] NDLOVU N., SIBANDA K., Innovative Framework Requirements for Remote Maternal and Fetal Health Monitoring in Low Resource Settings: Mobile Phones & Medical Devices, International Journal of Computer Science Issues, 2014, Vol. 11(2), pp. 208-216.
  • [17] ROHAM M., SALDIVAR E., RAGHAVAN S., et al., A mobile wearable wireless fetal heart monitoring system, Medical Information & Communication Technology (ISMICT), 2011 5th International Symposium, pp. 135-138.
  • [18] ROJ D., HOROBA K., WROBEL J., et al., 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, Munich, 2009, Vol. 25, pp. 59-62.
  • [19] ROOTH G., Guidelines for the use of fetal monitoring, Int. J. Obstet. Gyneacol., 1987, 25, pp. 159-167.
  • [20] SU C. J., CHU T. W., A Mobile Multi-Agent Information System for Ubiquitous Fetal Monitoring, Int. J. Environ. Res., Public Health 2014, Vol. 11, pp. 600-625; doi:10.3390/ijerph110100600.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4545dcb4-c158-42a8-b91e-e7fc215ae525
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