Publication | Open Access
Synthesis of Fuzzy Logic for Prediction and Medical Diagnostics by Energy Characteristics of Acupuncture Points
36
Citations
14
References
2011
Year
EngineeringReflex DiagnosticsDiagnosisMotor ControlAcupunctureIntelligent SystemsSensationFuzzy Pattern RecognitionFuzzy LogicFuzzy ComputingRehabilitationNervous SystemPhysical TherapyAcupuncture PointsMedical DiagnosticsNeuro-fuzzy SystemFuzzy MathematicsFuzzy Expert SystemNeuroscienceMedicineActive Points
A great number of reflexologies use ancient concepts that do not coincide with modern medical terminology of anatomy, physiology, and biophysics, substantially reducing the trust of today's physicians in this direction of their profession. Recently, several mathematical models of internal and biological active points of meridian structures interaction have been proposed. These models allowed specification of diseases for which reflex diagnostics and reflex therapy methods are most effective and also increased the efficacy of these procedures. 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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