Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic

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 heart 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 (DIP)
• confidence factors
• membership functions
• heart disease

Acknowledgements

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. We also greatly thank Andrew P. Smith from the HTWG Konstanz for his English corrections.