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

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  • Riad Al-Kasasbeh
  • Nikolay Korenevskiy
  • Florin Ionescou
  • Mahdi Alshamasin
  • Alexander Kuzmin

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.

Suggested Citation

  • Riad Al-Kasasbeh & Nikolay Korenevskiy & Florin Ionescou & Mahdi Alshamasin & Alexander Kuzmin, 2012. "Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(7), pages 681-689.
    • Handle: RePEc:taf:gcmbxx:v:15:y:2012:i:7:p:681-689
    DOI: 10.1080/10255842.2011.554644
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