alexa Bioengineering System for Prediction and Early Prenosological Diagnostics of Stomach Diseases based on Energy Characteristics of Bioactive Points with Fuzzy Logic | Abstract
ISSN: 2155-6210

Journal of Biosensors & Bioelectronics
Open Access

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Research Article

Bioengineering System for Prediction and Early Prenosological Diagnostics of Stomach Diseases based on Energy Characteristics of Bioactive Points with Fuzzy Logic

Riad Taha Al-Kasasbeh1*, Nikolay Korenevskiy2*, Mahdi Alshamasin2 and Dmitry Klionskiy3

1Faculty of Biomedical Engineering, Kursk State Technical University, Russia

2Faculty of Engineering Technology, Al-Balqa Applied University, Jordan

3Saint Petersburg Electrotechnical University "LETI", Saint Petersburg, Russian Federation, Russia

*Corresponding Author:
Riad Taha Al-Kasasbeh
Faculty of Engineering Technology
Al-Balqa Applied University, Jordan
Tel: +962777787972
E-mail: [email protected]

Nikolay Korenevskiy
Faculty of Biomedical Engineering
Kursk State Technical University, Russia
Tel: +7(4712)50-39- 82
E-mail: [email protected]

Received Date: September 09, 2015; Accepted Date: October 02, 2015; Published Date: October 12, 2015

Citation: Al-Kasasbeh RT, Korenevskiy N, Alshamasin M, Klionskiy D (2015) Bioengineering System for Prediction and Early Prenosological Diagnostics of Stomach Diseases based on Energy Characteristics of Bioactive Points with Fuzzy Logic. J Biosens Bioelectron 6:182. doi:10.4172/2155-6210.1000182

Copyright: © 2015 Al-Kasasbeh RT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

We apply mathematical models for the interaction of the internal and biologically active points of meridian structures. Amongst the diseases for which reflex diagnostics are effective are those of the stomach disease. It is shown that use of fuzzy logic decision-making yields good results for the prediction and early diagnosis of stomach diseases, depending on the reaction energy of biologically active points (acupuncture points). It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained by using fuzzy logic decision-making. Analysis of resistances lower and higher than the nominal values allowed us to specify the prognostic and diagnostic models.

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