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New Electronic Acupuncture System Using Intelligence

  • You-Sik Hong
  • Hongkyun Kim
  • Cheonshik Kim
  • Geuk Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7513)

Abstract

In recent years, scientific studies of traditional oriental medicine are accelrating. Furthermore, researches of medical examinations and treatments through collaboration of oriental medicine and western medicine is in progress. This paper will seek for spots on the body suitable for acupuncture using special features that skin impedance values are different. The computer simulation results have shown that Electro-Acupuncture administered by using the medical diagnosis system developed in this study is more effective than the conventional method.

Keywords

Pulse wave Fuzzy Rules Acupuncture 

References

  1. 1.
    Lee, Y.J., Lee, J., Lee, H.J., Yoo, H.H., Choi, E.J., Kim, J.Y.: Study on the characteristics of blood vessel pulse area using ultrasonic. Korea Institute of Oriental Medicine Researches 13(3), 111–119 (2007)Google Scholar
  2. 2.
    Lee, J., Lee, Y.J., Lee, H.J., Choi, E.J., Kim, J.Y.: Designing a stabilized process of pulse analyzing method using sigma 6. Korea Institute of Oriental Medicine researches 12(2), 85–92 (2006)Google Scholar
  3. 3.
    Lee, Y.G.: Diagnostic atlas 2 analyzing pulse, pp. 11–14. Chungdam Books (2003)Google Scholar
  4. 4.
    Gunal, S., Edizkan, R.: Subspace based feature selection for pattern recognition. Information Sciences (2008)Google Scholar
  5. 5.
  6. 6.
    Garg, M.L., Ahson, S.I., Gupta, D.V.: A Fuzzy Petri-nets for Knowledge Represent- ation and Reasoning. Information Processing Letters 39, 165–171 (1992)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Genrich, H.J., Lautenbach, K.: System Modelling with High-level Petri Nets. Theoretical Computer Science 13, 109–136 (1981)MathSciNetMATHCrossRefGoogle Scholar
  8. 8.
    Leung, K.S., Lam, W.: Fuzzy Concepts in Expert Systems. IEEE Computer, 43–56 (September 1988)Google Scholar
  9. 9.
    Looney, G.C., Alfize, A.A.: Logical Controls via Boolean Rule Matrix Transformation. IEEE Trans. on SMC, 1077–1082 (November/December 1987)Google Scholar
  10. 10.
    Looney, G.C.: Fuzzy Petri Nets for Rule- based Decision Making. IEEE Trans. on SMC 18(1) (January/February 1988)Google Scholar
  11. 11.
    O’Rourke, M.F., Kelly, R.P., Avolio, A.P.: The Arterial Pulse, 1st edn. Lea & Febiger, Philadelphia (1992)Google Scholar
  12. 12.
    Gong, Y., Chen, H., Pu, J., Lian, Y.M., Chen, S.: Quantitative investigation on normal pathological tongue shape and correlation analysis between hypertension and syndrome. In: China Journal of Traditional Chinese Medicine and Pharmacy (2005)Google Scholar
  13. 13.
    Gunal, S., Edizkan, R.: Subspace based feature selection for pattern recognition. Information Sciences (2008)Google Scholar
  14. 14.
    Hong, Y.-S., Lee, S.-S., Nam, D.-H., Lee, W.-B., Kim, H., Song, Y.J., Kim, K.-B., Lee, G., Kang, J.-J., Kumar, R., Jin, H., Moon, C., Lee, Y., Chung, C.: Smart Pulse Wave Detection System Using Intelligence. In: Lee, G., Howard, D., Ślęzak, D. (eds.) ICHIT 2011. LNCS, vol. 6935, pp. 213–220. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • You-Sik Hong
    • 1
  • Hongkyun Kim
    • 2
  • Cheonshik Kim
    • 3
  • Geuk Lee
    • 4
  1. 1.School of Information and Communication EngineeringSang JI UniversityWonjuKorea
  2. 2.Dept. of Electronic EngineeringHanbat National University in TaejonKorea
  3. 3.Dept. of Computer ScienceSejong UniversitySeoulKorea
  4. 4.Dept. of Information & CommunicationHan-nam UniversityDaejonKorea

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