Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision-making

Abstract

Many theories of reflexology use ancient concepts which do not coincide with the modern medical terminology of anatomy, physiology and biophysics. This substantially reduces the trust of physicians in reflexology methods. During this research, several mathematical models for the interaction of the internal and biological active points of meridian structures have been proposed. The analysis of these models allows the specification of a list of gastric diseases for which reflex diagnostics and reflex therapy methods are most effective and also allows increasing the effectiveness of these procedures. 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 using fuzzy logic decision making.

Keywords:

• acupuncture points
• fuzzy logic
• diagnostically important points
• confidence factors
• membership functions
• stomach diseases

Acknowledgement

We gratefully acknowledge funding from the DFG (German Research Council) and additional support from Al-Balqa Applied University in Jordan, South West State University in Russia, HTWG (University of Applied Sciences) Konstanz in Germany and the Higher Council for Science and Technology of Jordan.