Design challenges for home telemonitoring of pregnancy as a medical cyber-physical system

• Autorzy: Horoba K. , Jeżewski J. , Wróbel J. , Pawlak A. , Czabański R. , Porwik P. , Penkala P.
• Języki publikacji: EN

Abstrakty

EN

The paper introduces the problem of designing a telemedical system for pregnancy monitoring at home. It focuses on design challenges concerning embedded computing and networking, requirements modelling, and presents the architecture and solutions when based on new class Medical Cyber-Physical Systems (MCPS). The proposed system consists of a Body Area Network (BAN) of advanced sensors that are interconnected on a body of a pregnant woman, a Personal Area Network (PAN) that is responsible for embedded processing of physical signals, smart alarms, data transmission and communication with the Surveillance Centre located in hospital. It is expected that this dependable telemedical system will provide a high societal value to women with high-risk pregnancy.

Słowa kluczowe

EN

pregnancy monitoring; telemonitoring at home; Medical Cyber Physical Systems

PL

monitorowanie ciąży; telemonitoring w domu; systemy medyczne

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2014
• Tom: Vol. 23
• Strony: 59--66
• Opis fizyczny: Bibliogr. 25 poz., rys.

Twórcy

autor

Horoba K.

• Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland

autor

Jeżewski J.

• Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland

autor

Wróbel J.

• Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland

autor

Pawlak A.

• Institute of Electronics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland

autor

Czabański R.

• Institute of Electronics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland

autor

Porwik P.

• Institute of Computer Science, University of Silesia, 39 Bedzinska Str., 41-200 Sosnowiec, Poland

autor

Penkala P.

• Evatronix S.A., 2 Przybyly Str., 43-300 Bielsko-Biala, Poland

Bibliografia

• [1] ABDULHAY, ENAS W., et al, Review Article: Non-Invasive Fetal Heart Rate Monitoring Techniques. Biomedical Science and Engineering, 2014, Vol. 2, No. 3, pp. 53-67.
• [2] ARNEY D., FISCHMEISTER S., GOLDMAN J. M., LEE I., TRAUSMUTH R., Plug-and-play for medical devices: Experiences from a case study. Biomed. Instrument. Technol., 2009, Vol. 43, No. 4, pp. 313-317.
• [3] CASTANEDA M., Connecting Devices and Data on the Healthcare Network. Biomed. Instrument. Technol., 2010, Vol. 44, No. 1, pp. 18-25.
• [4] CZABANSKI R., JEZEWSKI J., HOROBA K., JEZEWSKI M., Fetal state assessment using fuzzy analysis of the fetal heart rate signals - agreement with the neonatal outcome. Biocybernetics and Biomedical Engineering, 2013, Vol. 33,
• No. 3, pp. 145-155.
• [5] CZABANSKI R., JEZEWSKI J., MATONIA A., JEZEWSKI M., Computerized Analysis of Fetal Heart Rate Signals as the Predictor of Neonatal Acidemia. Expert Systems with Applications, 2012, Vol. 39, No. 15, pp. 11846-11860.
• [6] CZABANSKI R., JEZEWSKI M., WROBEL J., JEZEWSKI J., HOROBA K., Predicting the Risk of Low Fetal Birth Weight from Cardiotocographic Signals using ANBLIR System with Deterministic Annealing and e-Insensitive Learning. IEEE Transactions on Information Technology in Biomedicine, 2010, Vol.14, pp. 1062-1074.
• [7] CZABANSKI R., JEZEWSKI M., WROBEL J., HOROBA K., JEZEWSKI J., Neuro-fuzzy approach to the classification of fetal cardiotocograms. IFMBE Proc. 14th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, Riga, Jun 2008, Vol. 20, pp. 446-449.
• [8] DI LIETO A., CAMPANILE M., DE FALCO M. et al, Prenatal Telemedicine: A New System for Conventional and Computerized Telecardiotocography and Tele-Ultrasonography. In Advances in Telemedicine, Eds. G. Graschew and T. A. Roelofs, InTech Publisher, ISBN 978-953-307-159-6, 2011, pp. 121-154.
• [9] ESFANDIARI N., BABAVALIAN M. R., MOGHADAM A E., TABAR V. K.: Knowledge discovery in medicine: Current issue and future trend, Expert Systems with Applications, 2014, Vol. 41, pp. 4434-4463.
• [10] HANNAH INBARANI H., NIZAR BANU P.K., AHMAD TAHER AZAR, Feature selection using swarm-based relative reduct technique for fetal heart rate. Neural Computing & Applications, 2014, Vol. 25,pp. 793-806.
• [11] HANSEN S.K., WILSON L.S., ROBERTSON T., Applying an integrated approach to the design, implementation and evaluation of a telemedicine system. Journal of the International Society for Telemedicine and Ehealth, 2013, Vol. 1, No. 1, pp. 19-29.
• [12] HOROBA K., WROBEL J., ROJ D., KUPKA T., MATONIA A., JEZEWSKI J., Ensuring the real time signal transmission using GSM/Internet technology for remote fetal monitoring. In Information Technologies in Biomedicine, Eds. Pietka E., Kawa J., Advances in Soft Computing Series, Vol. 47, Springer Verlag, 2008, pp. 291-298.
• [13] JEZEWSKI J., HOROBA K., MATONIA A., GACEK A., BERNYS M., A new approach to cardiotocographic fetal monitoring based on analysis of bioelectrical signals. Proc. 25th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Sep 2003, pp. 3145-3148.
• [14] JEZEWSKI J., MATONIA A., KUPKA T., ROJ D., CZABANSKI R., Determination of the fetal heart rate from abdominal signals: evaluation of beat-to-beat accuracy in relation to the direct fetal electrocardiogram. Biomedical Engineering, 2012, Vol. 57, No. 5, pp. 383-394.
• [15] JEZEWSKI J., ROJ D., WROBEL J., HOROBA K., A novel technique for fetal heart rate estimation from Doppler ultrasound signal. Biomedical Engineering Online, 2011, Vol.10, 92.
• [16] JEZEWSKI M., CZABANSKI R., WROBEL J., HOROBA K., Analysis of extracted cardiotocographic signal features to improve automated prediction of fetal outcome. Biocybernetics and Biomedical Engineering, 2010, Vol. 30, No. 4, pp. 29-47.
• [17] JEZEWSKI J., WROBEL J., HOROBA K., GRACZYK S., GACEK A., SIKORA J., Computerized perinatal database for retrospective qualitative assessment of cardiotocographic traces. In Proc. Healthcare Computing Conference HC96, in Current Perspectives in Healthcare Computing, Editor: B. Richards, March 1996, BJHC Ltd, Great Britain, pp. 187-196.
• [18] KOVACS F., HORVATH C., BALOGH A.T., HOSSZU G., Fetal phonocardiography - Past and future possibilities. Computer Methods and Programs in Biomedicine, 2011, Vol. 104, pp. 19-25.
• [19] LEE I., PAPPAS G. J., CLEAVELAND R., HATCLIFF J., et al, High-confidence medical device software and systems. Computer, 2006, Vol. 39 No 4, pp. 33-38.
• [20] LEE I., SOKOLSKY O., Medical Cyber Physical Systems. Proc. 47th Design Automation Conf., 2010, pp. 743-748.
• [21] LEE I., SOKOLSKY O., CHEN S., HATCLIFF J., et al, Challenges and Research Directions in Medical CyberPhysical Systems. Proceedings of the IEEE, 2012, Vol.100 No. (1), pp. 75-90.
• [22] NAGARAJU P., RAMASAMY M., NOUSHAD S., Implementation of CPLD Based Receiver of Telemetry device for Maternal-Fetal Monitoring. International Journal of Current Engineering and Technology, 2014, Vol. 4, No. 3, available at http://inpressco.com/category/ijcet.
• [23] 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. of the World Congress on Medical Physics and Biomedical Engineering, Munich, IX 2009, Vol. 25, pp. 59-62.
• [24] VIJAY S. CHOURASIA, ANIL KUMAR TIWARI, A Review and Comparative Analysis of Recent Advancements in Fetal Monitoring Techniques. Critical Reviews in Biomedical Engineering, 2008, Vol. 36, No. 5-6, pp. 335-373.
• [25] VOICU I., MENIGOT S., KOUAME D., GIRAULT J., New Estimators and Guidelines for Better Use of Fetal Heart Rate Estimators with Doppler Ultrasound Devices. Computational and Mathematical Methods in Medicine, Vol. 2014, Article ID 784862, 10 pages, http://dx.doi.org/10.1155/2014/784862.