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International Conference on Artificial Intelligence and Computational Intelligence

AICI 2012: Emerging Research in Artificial Intelligence and Computational Intelligence pp 65–72Cite as

Research and Application of Ventilator Monitoring Platform

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 315))

Abstract

This paper introduces a design of ventilator monitoring platform based on embedded technology. The platform equips an ARM920T-based microprocessor EP9315 and an ARM7TDMI-based microprocessor as its main controller, and contains many other components such as the CAN interface of master node and child nodes, the pressure and temperature of oxygen and air amplifiers, AD converters, touch screen displays, flow control. It utilizes the WINCE operating system and software development tool Embedded Visual C++ 4.0. The instrument realizes the acquisition; displaying, Real-time analysis and feedback control of human respiratory gas signals and CAN device driver development.

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References

  1. Liu, W.-J., Zhang, Z., Bao, Y.-L.: The stream interface driver development under WindowsCE.NET environment. J. Science Technology and Engineering 6, 357–359 (2006)

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  2. He, Z.-J.: Embedded operating system Windows CE. M. Beijing University of Aeronautics, Beijing (2006)

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  3. Ma, F.-C., Peng, H.-L., Wang, C.: Development of a Remote Wireless Monitor System Based on GSM Net and Internet. Journal of Taiyuan University of Technology 36, 381–384 (2005)

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  4. Wang, G., Huang, Z.-F., Chen, Z.-P.: Design and Implementation of Remote Transmission and Control System Based on GPRS. J. Electronic Technology 11, 21–22 (2008)

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  5. Zhang, D.-Q., Tan, N.-L.: Practical development technology of Windows CE. M. Publishing house of electronics industry (2008)

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  6. LPC2368 data sheet of Philips Semiconductor, http://www.nxp.com

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Author information

Authors and Affiliations

  1. Information Engineering College, Tianjin University of Commerce, 300134, Tianjin, China

    Wenchao Xu

  2. Electronic Engineering College, Tianjin University of Technology and Education, 300222, Tianjin, China

    Caifeng Liang

Authors
  1. Wenchao Xu
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  2. Caifeng Liang
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  2. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  3. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  4. School of Electronics and Information, Tongji University, China, 201804, Shanghai, China

    Duoqian Miao

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xu, W., Liang, C. (2012). Research and Application of Ventilator Monitoring Platform. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-34240-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34239-4

  • Online ISBN: 978-3-642-34240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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