Florin Ionescou

Publications (3)1.7 Total impact

• Article: Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision-making.

  Riad Al-Kasasbeh, Nikolay Korenevskiy, Mahdi Alshamasin, Florin Ionescou, Andrew Smith
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  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 gastric 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.
  Computer Methods in Biomechanics and Biomedical Engineering 01/2012; · 0.85 Impact Factor
• Article: Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic.

  Riad Al-Kasasbeh, Nikolay Korenevskiy, Florin Ionescou, Mahdi Alshamasin, Alexander Kuzmin
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  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.
  Computer Methods in Biomechanics and Biomedical Engineering 01/2012; 15(7):681-9. · 0.85 Impact Factor
• Article: Synthesis of fuzzy logic for prediction and medical diagnostics by energy characteristics of acupuncture points.

  Riad Al-Kasasbeh, Nikolay Korenevskiy, Florin Ionescou, Mahdi Alshamasin, Alexander Kuzmin
  [show abstract] [hide abstract]
  ABSTRACT: 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.
  Journal of acupuncture and meridian studies. 09/2011; 4(3):175-82.