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A New Generation of Biomedical Equipment Based on FPGA. Arguments and Facts

  • Marius M. Balas
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 486)

Abstract

The chapter is aiming to broaden the bridge that covers the gap between the engineering and the biomedical science communities, by encouraging the developers and the users of biomedical equipment to apply at a large scale and to promote the Field-Programmable Gate Array technology. The chapter provides a brief recall of this technology and of its key advantages: high electrical performances (great complexity, high speed, low energy consumption, etc.), extremely short time-to-market, high reliability even in field conditions, flexibility, portability, standardization, etc. The positive FPGA experience, issued from the military and the aerospace domains, is beginning to spread into the biomedical and healthcare field, where the personnel should be aware and prepared for this substantial and presumably long term advance.

Notes

Acknowledgments

This work was supported by the Bilateral Cooperation Research Project between Bulgaria-Romania (2010–2012) entitled “Electronic Health Records for the Next Generation Medical Decision Support in Romanian and Bulgarian National Healthcare Systems”, NextGenElectroMedSupport.

References

  1. 1.
    Chen, J., Wong, S., Chang, J., Chung, P.C., Li, H., Koc, U.V., Prior, F.W., Newcomb, R.: A wake-up call for the engineering and biomedical science communities. IEEE Circuits Syst Mag, second quarter, 69–77 (2009)Google Scholar
  2. 2.
    Xilinx and LynuxWorks Demonstrate Avionics Application Solution at the Military and Aerospace Forum and Avionics USA Conference 2009. Lynux Works, http://www.lynuxworks.com/corporate/press/2009/xilinx.php
  3. 3.
    Gerngross, J.: Intellectual property offers new choices for avionics design engineers as MIL-STD-1553 and FPGA technologies converge. Military Aerosp. Electron. 14(6) (2003). http://www.militaryaerospace.com/index/display/article-display/178482/articles/military-aerospace-electronics/
  4. 4.
    Rodriguez-Andina, J.J., Moure, M.J., Valdes, M.D.: Features, design tools, and application domains of FPGAs. IEEE Trans. Ind. Electron. 54(4), 1810–1823 (2007)CrossRefGoogle Scholar
  5. 5.
    Hennesy, J.L., Patterson, D.: Computer architecture: A quantitative approach. Morgan Kaufmann (2006)Google Scholar
  6. 6.
    Klingman, E.: FPGA programming step by step. Electronic Engineering Times. http://www.eetimes.com/design/embedded/4006429/FPGA-programming-step-by-step
  7. 7.
    Xilinx: ISE In-Depth Tutorial. 18. Jan. (2012)Google Scholar
  8. 8.
    Balas, M.M., Sajgo, B.A., Belean, P.: On the FPGA implementation of the fuzzy-interpolative systems. In: 5th International Symposium on Computational Intelligence and Intelligent Informatics ISCIII Floriana, Malta, pp. 139–142, 15–17 Sept (2011)Google Scholar
  9. 9.
    Strickland, M.: Medical applications look towards FPGA-based high-performance computing. Hearst Electronic Products, 18 Dec (2007)Google Scholar
  10. 10.
    Altera Corp. white papers: Medical Imaging Implementations using FPGAs. July (2010)Google Scholar
  11. 11.
    Khan, K.: FPGAs help drive innovation in complex medical systems. Med. Electron. Des. April (2012)Google Scholar
  12. 12.
    Microsemi: Size, Reliability and Security. Jan (2011). www.acaltechnology.com/
  13. 13.
    Actel: Incredible Shrinking Medical Devices. Oct (2008)Google Scholar
  14. 14.
    Microsemi: Intelligent Mixed Signal FPGAs in Portable Medical Devices. Application Brief AC 242, Dec (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Aurel Vlaicu UniversityAradRomania

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