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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2012: Intelligent Data Engineering and Automated Learning - IDEAL 2012 pp 336–343Cite as

Cloud Computing Environments for Biomedical Data Services

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7435))

Abstract

The goal of the project we describe in this paper was the cloud computer environment establishment for biomedical data processing services using a security access. The relevant cloud application for user interactive interaction with biomedical data were realized on .NET Framework technology platform by the help of rapid calculating by FPGA technology. Interconnection of these technologies allows a large spectrum of users to quick access to pre-evaluated biomedical data. This article discusses the possible topological solutions and implementation of that system.

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References

  1. Kupfer, D.M.: Cloud Computing in Biomedical Research. Aviation, Space, and Environmental Medicine 83(2), 152–153 (2012), doi:10.3357/ASEM.3242.2012

    Article  Google Scholar 

  2. Fusaro, V.A., Patil, P., Gafni, E., Wall, D.P., Tonellato, P.J.: Biomedical Cloud Computing With Amazon Web Services. Plos Computational Biology 7(8) (2011), doi:10.1371/journal.pcbi.1002147

    Google Scholar 

  3. Krawiec, J., Penhaker, M., Krejcar, O., Novak, V., Bridzik, R.: System for Storage and Exchange of Electrophysiological Data. In: Proceedings of 5th International Conference on Systems, ICONS 2010, April 11-16, pp. 88–91. IEEE Conference Publishing Services, Menuires (2010), doi:10.1109/ICONS.2010.23

    Google Scholar 

  4. Smith, T.F., Waterman, M.S.: Identification of Common Molecular Subsequences. J. Mol. Biol. 147, 195–197 (1981)

    Article  Google Scholar 

  5. Simsik, D., Galajdova, A., Majernik, J., Hrabinska, I., Zelinsky, P.: The video analysis utilization in rehabilitation for moblity development. Lékař a technika. Česká republika, 4-5, Ročník 35, 87–92 (2004) ISSN 0301-5491

    Google Scholar 

  6. Dziakova, M., Zelinsky, L., Simsik, D., Majernik, J., Galajdova, A.: Objektivizácia účinku senzomotorickej stimulácie pomocou SMART-u. Rehabilitácia 44(4), 210–214 (2007) ISSN 0375-0922, pp. 210-214

    Google Scholar 

  7. Ren, J.Y., Williams, N., Clementi, L., Krishnan, S., Li, W.W.: Opal web services for biomedical applications. Nucleic Acids Research 38(suppl. 2), W724–W731 (2010), doi:10.1093/nar/gkq503

    Google Scholar 

  8. Grossman, R.L., White, K.P.: A vision for a biomedical cloud. Journal of Internal Medicine 271(2), 122–130 (2012), doi:10.1111/j.1365-2796.2011.02491.x

    Article  Google Scholar 

  9. Rosenthal, A., Mork, P., Li, M.H., Stanford, J., Koester, D., Reynolds, P.: Cloud computing: A new business paradigm for biomedical information sharing. Journal od Biomedical Informatics 43(2), 342–353 (2010), doi:10.1016/j.jbi.2009.08.014

    Article  Google Scholar 

  10. Zivcak, J., Petrik, M., Hudak, R., Toth, T., Knezo, D., Kovalova, E. Embedded tensile strenght test machine FM1000 - An upgrade of measurement and control, Diffusion and Defect Data Pt.B: Solid State Phenomena 147-149, pp. 657–662, ISSN: 10120394, ISBN: 3908451655; 978-390845165-

    Google Scholar 

  11. Kristof, M., Hudak, R., Takacova, A., Zivcak, J., Fialka, L., Takac, R.: Contact pressure measurement in trunk orthoses. In: ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings, art. no. 5491304, p. 175 (2010) ISBN: 978-142447433-2, doi:10.1109/ICCCYB.2010.5491304

    Google Scholar 

  12. Sabol, F., Vasilenko, T., Novotny, M., Tomori, Z., Bobrov, N., Zivcak, J., Hudak, R., Gal, P.: Tradermal running suture versus 3MTM VetbondTM tissue adhesive for wound closure in rodents: A biomechanical and histological study. European Surgical Research 45(3-4), 321–326, ISSN: 0014312X, doi:10.1159/000320837

    Google Scholar 

  13. Aidu, E.A.I., Trunov, V.G., Titomir, L.I., Tysler, M., Turzova, M., Szathmary, V.: Electrocardiographic ST segment changes as an indicator for localization of injury potentials. A Computer Simulation Study kardiologia 15(1), 21–24, ISSN: 12100048

    Google Scholar 

  14. Cerny, M.: Movement Activity Monitoringof Elederly People – Application in Remote Home Care Systems. In: Proceedings of 2010 Second International Conference on Computer Engineering and Applications ICCEA 2010, Bali Island, Indonesia, March 19-21, vol. 2, IEEE Conference Publishing Services, NJ (2010) ISBN 978-0-7695-3982-9

    Google Scholar 

  15. Cerny, M.: Movement Monitoring in the HomeCare System. In: Dössel, O., Schlegel, W.C. (eds.) WC 2009. IFMBE Proceedings, vol. 25, pp. 356–357. Springer, Berlin (2009)

    Google Scholar 

  16. Bernabucci, I., Conforto, S., Schmid, M., D’Alessio, T.: A bio-inspired controller of an upper arm model in a perturbed environment. In: Proceedings The 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 549–553 (2007) ISBN: 978-1-4244-1501-4

    Google Scholar 

  17. Kasik, V., Penhaker, M., Novák, V., Bridzik, R., Krawiec, J.: User Interactive Biomedical Data Web Services Application. In: Yonazi, J.J., Sedoyeka, E., Ariwa, E., El-Qawasmeh, E. (eds.) ICeND 2011. CCIS, vol. 171, pp. 223–237. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  18. Korpas, D., Halek, J.: Pulse wave variability within two short-term measurements. Biomedical Papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia 150(2), 339–344 (2006) ISSN: 12138118

    Google Scholar 

  19. Brad, R.: Satellite Image Enhancement by Controlled Statistical Differentiation. In: Innovations and Advances Techniques in Systems, Computing Sciences and Software Engineering, International Conference on Systems, Computing Science and Software Engineering, ELECTR NETWORK, December 03-12, pp. 32–36 (2007)

    Google Scholar 

  20. Halic, T., Kockara, S., Bayrak, C., Rowe, R., Mixed reality simulation of rasping procedure in artificial cervical disc replacement (ACDR) surgery. BMC Bioinformatics 11(suppl. 6), Article Number: S11 (2010), doi: 10.1186/1471-2105-11-S6-S11

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17. Listopadu 15, Ostrava Poruba, 700 30, Czech Republic

    Marek Penhaker, Vladimir Kasik & Václav Snášel

  2. Faculty of Informatics and Management, Department of Information Technologies, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove, 500 03, Czech Republic

    Ondrej Krejcar

Authors
  1. Marek Penhaker
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  2. Ondrej Krejcar
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  3. Vladimir Kasik
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  4. Václav Snášel
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, The University of Manchester, M13 9PL, Manchester, UK

    Hujun Yin

  2. Department of Electrical Engineering, Federal University of Rio Grande do Norte, Lagoa Nova, 59072-970, Natal, RN, Brazil

    José A. F. Costa

  3. Department of Teleinformatics Engineering, Federal University of Ceará, Campus of Pici, CP 6005, 60455-760, Fortaleza, CE, Brazil

    Guilherme Barreto

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Penhaker, M., Krejcar, O., Kasik, V., Snášel, V. (2012). Cloud Computing Environments for Biomedical Data Services. In: Yin, H., Costa, J.A.F., Barreto, G. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2012. IDEAL 2012. Lecture Notes in Computer Science, vol 7435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32639-4_41

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  • DOI: https://doi.org/10.1007/978-3-642-32639-4_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32638-7

  • Online ISBN: 978-3-642-32639-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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