Implementation of electronic acupuncture using fuzzy rules
| Published date | 06 May 2014 |
| Pages | 122-125 |
| DOI | https://doi.org/10.1108/JSIT-11-2013-0063 |
| Date | 06 May 2014 |
| Author | Yousik Hong,Man Ki Kim,Gyu Hyun Kim |
| Subject Matter | Information & knowledge management,Information systems |
Implementation of electronic
acupuncture using fuzzy rules
Yousik Hong
Department of Computer Science,
SangJi University, Wonju, Republic of Korea
Man Ki Kim
AD&PR, Namseoul University, Cheonan, Republic of Korea, and
Gyu Hyun Kim
Department of Economics, Yonsei University, Seoul, Republic of Korea
Abstract
Purpose – Implementation of intelligent electronic needles is presented that can judge the physical
conditions of a patient and be applied anytime anywhere with the information of pulse waves sent
from a remote place through the web. The paper aims to discuss these issues.
Design/methodology/approach – The present research developed a web-b ased system of
electronic acupuncture using fuzzy rules. Anybody can use his or her smart phone and select a file
in the menu that automatically calculates optimal points and time of acupuncture.
Findings – A set of experiments found improvement of the time of acupuncture by 25 percent.
Originality/value – The present research developed a web-based system of electronic acupuncture
using fuzzy rules. Anybody can use his or her smart phone and select a file in the menu that
automatically calculates optimal points and time of acupuncture. A set of experiments found
improvement of the time of acupuncture by 25 percent.
Keywords Pulse wave detectionsystem, Acupuncture, Fuzzy rules
Paper type Research paper
1. Introduction
This research presents a remote treatment system in which a patient wounded in a
battle field may send data of pulse and tongue diagnosis by a smart phone to a doctor
in a remote place and then appropriate blood points are stimulated by electronic
needles. In oriental medicine, the pulse beats are important signals that may let us
know the conditions of one’s health and disease (Lee et al., 2006, 2007; Lee, 2003).
Doctors judge a patient’s condition by examining the speed, strength and depth of
pulse waves (www.etnews.co.kr/etnews/word) (Gunal and Edizkan, 2008).
However, it is not easy to correctly tell or predict the disease of a patient, since the
same disease with similar pulse data could be interpreted differently depending on the
patients’ gender, age and physical characteristics. The proposed system takes an
individual patient’s physical conditions into consideration in deriving optimal time of
acupuncture with an appeal to fuzzy inference: the physical characteristics, status
of illness and age of the patient. The conventional time of acupuncture is usually
30 minutes, but the present experiment shortened or lengthened the time depending on
the conditions of patients. Moreover, this system of medical treatment can be easily used
anywhere by anybody. What one should do is to provide some base information on the
patient’s disease on a cellular phone.
The current issue and full text archive of this journal is available at
www.emeraldinsight.com/1328-7265.htm
Received 22 November 2013
Revised 22 November 2013
Accepted 26 December 2013
Journal of Systems and Information
Technology
Vol. 16 No. 2, 2014
pp. 122-125
qEmerald Group Publishing Limited
1328-7265
DOI 10.1108/JSIT-11-2013-0063
JSIT
16,2
122
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