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

R Al-Kasasbeh, N Korenevskiy, F Ionescou… - Computer methods in …, 2012 - Taylor & Francis
R Al-Kasasbeh, N Korenevskiy, F Ionescou, M Alshamasin, A Kuzmin
Computer methods in biomechanics and biomedical engineering, 2012Taylor & Francis
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 …
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.
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