• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2012 Vol.1(2): 173-175 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2012.V1.45

TENS Modelling Via ANFIS

Esra Satir and Hakan Isik

Abstract—TENS (Transcutaneous Electrical nerve Stimulation) is explained as stimulating nerves via skin to decrease the pain. The studies about TENS were related to investigate its effects on animals and humans. In this study, the problem is to improve a TENS model by investigating the effective parameters in humans. Skin conductance and skin thickness were chosen as effective parameters. By considering the ailments which cause pain, four implementation zones were studied. For modelling, ANFIS (Adaptive Neuro – Fuzzy Inference System) was employed. Average Training Error changes between 0.149-0.533, while Average Testing Error changes between 0.823-1.0815. This corresponds to maximum 1.0815 mA swing in the electric current that is applied to patient. This swing doesn’t cause a negative effect on patient. By means of this study, time saving and minimizing human originated errors were provided while applying TENS. Besides, TENS can be applied on the patients who have communication difficulties.

Index Terms—TENS, skin impedance, skin thickness, ANFIS

Esra Satir is with Selcuk University, Technical Education Faculty, Computer and Electronic Education, 42003, Konya, Turkey.
Hakan Isik is with Selcuk University, Technology Faculty, Electronic Engineering, 42003, Konya, Turkey (Tel.: 00903322233331, fax: 00903322412179, e-mail address: esatir@selcuk.edu.tr).


Cite: Esra Satir and Hakan Isik, "TENS Modelling Via ANFIS," International Journal of Future Computer and Communication vol. 1, no. 2, pp. 173-175, 2012.

Copyright © 2008-2018. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net