Abstract
In this paper we present construction of a software platform for supporting medical research teams, in the area of impedance cardiography, called IPMed. Using the platform, research tasks will be performed by the teams through computer-supported cooperative work. The platform enables secure medical data storing, access to the data for research group members, cooperative analysis of medical data and provide analysis supporting tools basing on intelligent information retrieval techniques (semantic text comparison, charts, images, video matching). On top of the platform, a dedicated web application is built for medical teams focused on the area of hemodynamics. The acquired data enables the researchers to develop new classification schemes for hemodynamic profiles, which will be used for construction of prototype application for supporting stroke treatment centers. In the paper we compare IPMed to other existing platforms which offer similar functionality and describe a concept of its migration to a cloud based system.
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Priyanga, P., Muthu Kumar, V.: Cloud computing for healthcare organization. Int. J. Multi. Res. Dev. 2(4) Part J, 487–493 (2015)
VSee, a telemedicine platform. http://vsee.com
Czekierda, Ł., Masternak, T., Zielinski, K.: Evolutionary approach to development of collaborative teleconsultation system for imaging medicine. In: IEEE Transactions on Information Technology in Biomedicine, pp. 550–560 (2012)
Taddei, A., Gori, A., Rocca, E., Carducci, T., Piccini, G., Augiero, G., Festa, P., Assanta, N., Ricci, G. Murzi, B.: Telemedicine network for early diagnosis and care of heart malformations. In: The International Conference on Health Informatics, IFMBE Proceedings, vol. 42, pp. 268–271, Springer International Publishing (2014)
Rolim, C.O., Koch, F.L., Westphall, C.B., Werner, J., Fracalossi, A., Salvador, G.S.: A cloud computing solution for patient’s data collection in health care institutions. In: Second International Conference on eHealth, Telemedicine, and Social Medicine. ETELEMED’10. IEEE (2010)
Pandey, S., Voorsluys, W., Niu, S., Khandoker, A., Buyya, R.: An autonomic cloud environment for hosting ECG data analysis services. Future Gener. Comput. Syst. 147–154 (2012)
Patel, M.N., Looney, P., Young, K., Halling-Brown, M.D.: Automated collection of medical images for research from heterogeneous systems: trials and tribulations. In: SPIE Medical Imaging. International Society for Optics and Photonics (2014)
Hsieh, J.C., Hsu, M.W.: A cloud computing based 12-lead ECG telemedicine service. In: BMC medical informatics and decision making, p. 77 (2012)
Shen, C.P., Chen, W.H., Chen, J.M., Hsu, K.P., Lin, J.W., Chiu, M.J., et al.: Bio-signal analysis system design with support vector machine based on cloud computing service architecture. In: Proceedings of the EMBC, pp. 1421–1424 (2010)
Lai, I.K., Tam, S.K., Chan, M.F.: Knowledge cloud system for network collaboration: a case study in medical service industry in China. In: Expert Systems with applications, pp. 12205–12212 (2012)
Brzeski, A., Cychnerski, J., Rościczewski, P.: Data mining applications and methods in medicine. In: 35th International Conference Information Systems Architecture and Technology (2014)
Tantawi, M., Salem, A., Tolba, M.F.: ECG signals analysis for biometric recognition. In: 14th International Conference on Hybrid Intelligent Systems, pp. 169–175 (2014)
Biel, L., Pettersson, O., Philipson, L., Wide, P.: ECG analysis: a new approach in human identification. In: IEEE Transactions Instrumentation and Measurement, pp. 808–812 (2001)
Israel, S.A., Irvine, J.M., Cheng, A., Wiederhold, M.D., Wiederhold, K.: ECG to identify individuals. Pattern Recogn. 38(1), 133–142 (2005)
Dorffner, G.; Leitgeb, E.; Koller, H.: Toward improving exercise ECG for detecting ischemic heart disease with recurrent and feedforward neural nets. In: Proceedings of the 1994 IEEE Workshop: Neural Networks for Signal Processing IV., pp. 499–508, (1994)
Silipo, R., Marchesi, C.: Artificial neural networks for automatic ECG analysis. IEEE Trans. Signal Process. 46(5), 1417–1425 (1998)
Yang, C.T., Chen, L.T., Chou, W.L., Wang, K.C.: Implementation of a medical image file accessing system on cloud computing. In: 13th International Conference on Computational Science and Engineering, pp. 321–326 (2010)
Brzeski, A., Cychnerski, J., Dziubich, T., Kaczmarek, P.: Dependable integration of medical image recognition components. In: Świątek, J., Borzemski, L., Grzech, A., Wilimowska, Z.: Information Systems Architecture and Technology: System Analysis Approach to Design, Control and Decision Support. Oficyna Wydawnicza PWr, pp. 151–160, Wrocław (2012)
Siebert, J., Molisz, A., Trzeciak, B., Gutknecht, P., Dziubich, T., Krawczyk, H.: Program IPMed—zastosowanie kardiografii impedancyjnej do monitorowania układu krążenia. Forum Medycyny Rodzinnej, pp. 1–12 (2015)
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This research was funded by grants from National Centre for Research and Development (PBS2/A3/17/2013, Internet platform for data integration and collaboration of medical research teams for the stroke treatment centers).
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Dorożyński, P., Brzeski, A., Cychnerski, J., Dziubich, T. (2016). Towards Healthcare Cloud Computing. In: Świątek, J., Borzemski, L., Grzech, A., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part III. Advances in Intelligent Systems and Computing, vol 431. Springer, Cham. https://doi.org/10.1007/978-3-319-28564-1_8
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DOI: https://doi.org/10.1007/978-3-319-28564-1_8
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