Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic.
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.
Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan. rjordanjo@mail.ru
Riad
R
Al-Kasasbeh
Nikolay
N
Korenevskiy
Florin
F
Ionescou
Mahdi
M
Alshamasin
Alexander
A
Kuzmin
D015669:Acupuncture Points; D000465:Algorithms; D001698:Biomedical Engineering; D003936:Diagnosis, Computer-Assisted; D017143:Fuzzy Logic; D006331:Heart Diseases / Q000175:diagnosis*; D006801:Humans; D011237:Predictive Value of Tests