Advertisement

Smart Pulse Wave Detection System Using Intelligence

  • You-Sik Hong
  • Sang-Suk Lee
  • Dong-Hyun Nam
  • Woo-Beom Lee
  • Hongkyun Kim
  • Young Jun Song
  • Kwang-Baek Kim
  • Geuk Lee
  • Jeong-Jin Kang
  • Rethina Kumar
  • HyunSoo Jin
  • Chanwoo Moon
  • Youngdae Lee
  • ChangDuk Chung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6935)

Abstract

The pulse rate in the human species is a significant factor in oriental medicine. Pulse wave is a potential energy which has been generated by main artery expansion from the left ventricle, transforms into kinetic energy and passes through the vessel wall to the peripheral nervous system. In this paper, observations of patterns will be used to determine the blood circulation pulse wave which has been differentiated twice through the process of APG (Accelerated Photoplethysmo Graph). Moreover in this paper, it proposed the algorithm which diagnoses the patient’s health condition using intelligence method.

Keywords

Pulse wave Fuzzy Expert system 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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)CrossRefzbMATHGoogle Scholar
  7. 7.
    Genrich, H.J., Lautenbach, K.: System Modelling with High-level Petri Nets. Theoretical Computer Science 13, 109–136 (1981)MathSciNetCrossRefzbMATHGoogle Scholar
  8. 8.
    Leung, K.S., Lam, W.: Fuzzy Concepts in Expert Systems. IEEE Computer, 43–56 (September 1988); Looney, G.C., Alfize, A.A.: Logical Controls via Boolean Rule Matrix Transformation. IEEE Trans. on SMC 17(6), 1077–1082 (1987) Google Scholar
  9. 9.
    Looney, G.C.: Fuzzy Petri Nets for Rule- based Decision Making. IEEE Trans. on SMC 18(1) (January/February 1988); O’Rourke, M.F., Kelly, R.P., Avolio, A.P.: The Arterial Pulse, 1st edn. Lea & Febiger, Philadelphia (1992) Google Scholar
  10. 10.
    Gong, Y., Chen, H., Pu, J., Lian, Y., Chen, S.: Quantitative investigation on normal pathological tongue shape and correlation analysis between hypertension and syndrome. China Journal of Traditional Chinese Medicine and Pharmacy (2005)Google Scholar
  11. 11.
    Gunal, S., Edizkan, R.: Subspace based feature selection for pattern recognition. Information Sciences (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • You-Sik Hong
    • 1
  • Sang-Suk Lee
    • 2
  • Dong-Hyun Nam
    • 3
  • Woo-Beom Lee
    • 4
  • Hongkyun Kim
    • 5
  • Young Jun Song
    • 6
  • Kwang-Baek Kim
    • 7
  • Geuk Lee
    • 8
  • Jeong-Jin Kang
    • 9
  • Rethina Kumar
    • 9
  • HyunSoo Jin
    • 10
  • Chanwoo Moon
    • 11
  • Youngdae Lee
    • 12
  • ChangDuk Chung
    • 13
  1. 1.School of Information and Communication EngineeringSang JI UniversityWonjuKorea
  2. 2.Department of Oriental Biomedical EngineeringSangji UniversityKorea
  3. 3.Department of Biofunctional Medicine and Diagnosis, Oriental Medical CollegeSangji UniversityWonjuKorea
  4. 4.Department of Computer Science EngineeringSangji UniversityWonjuKorea
  5. 5.Department of Electronic EngineeringHanbat National UniversityTaejonKorea
  6. 6.BITRCChungbuk National UniversityChungbukKorea
  7. 7.Division of Computer and Information EngineeringSilla UniversityBusanKorea
  8. 8.Dept. of Information & CommunicationHan-nam UniversityDaejonKorea
  9. 9.Dept. of Information & CommunicationDongSeoul UniversitySeongNamKorea
  10. 10.Dept. of Information & CommunicationBaekSeok UniversityCheonanKorea
  11. 11.Department. of E.E.C.S.Kookmin UniversitySeoulKorea
  12. 12.Institute of Webcasting, Broadcasting and CommunicationKorea UniversityKorea
  13. 13.Department of Computer ScienceKorea UniversityKorea

Personalised recommendations