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.
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References
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)
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
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/
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)
Hennesy, J.L., Patterson, D.: Computer architecture: A quantitative approach. Morgan Kaufmann (2006)
Klingman, E.: FPGA programming step by step. Electronic Engineering Times. http://www.eetimes.com/design/embedded/4006429/FPGA-programming-step-by-step
Xilinx: ISE In-Depth Tutorial. 18. Jan. (2012)
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)
Strickland, M.: Medical applications look towards FPGA-based high-performance computing. Hearst Electronic Products, 18 Dec (2007)
Altera Corp. white papers: Medical Imaging Implementations using FPGAs. July (2010)
Khan, K.: FPGAs help drive innovation in complex medical systems. Med. Electron. Des. April (2012)
Microsemi: Size, Reliability and Security. Jan (2011). www.acaltechnology.com/
Actel: Incredible Shrinking Medical Devices. Oct (2008)
Microsemi: Intelligent Mixed Signal FPGAs in Portable Medical Devices. Application Brief AC 242, Dec (2010)
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.
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Balas, M.M. (2014). A New Generation of Biomedical Equipment Based on FPGA. Arguments and Facts. In: Iantovics, B., Kountchev, R. (eds) Advanced Intelligent Computational Technologies and Decision Support Systems. Studies in Computational Intelligence, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-319-00467-9_11
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DOI: https://doi.org/10.1007/978-3-319-00467-9_11
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