Intelligent Inference System for Smart Electronic Acupuncture

  • You-Sik Hong
  • Chang-Hoon Choi
  • Baek-Ki Kim
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 279)


In this paper, we proposed the system that diagnoses a patient optimally considering the patient’s condition using intelligent fuzzy technique. We designed the system to respond to the various patterns and to sense the situation which potential difference is changed according to the patient’s painful part simultaneously. It contains the function that a patient can search the exact point of electronic acupuncture and check on optimal strength and time of electronic acupuncture considering the patient’s body conditions. The system includes the hardware to provide protection function for safety and to support the multimode function of electronic acupuncture through change of control mode.


inference fuzzy rules acupuncture diagnose 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Dept. of Computer ScienceSangji UniversityWonju-siKorea
  2. 2.School of Computer InformationKyungpook National UniversityDaeguKorea
  3. 3.Dept. of Information & Telecommunication Eng.Gangneung-Wonju National UniversityWonjuKorea

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