Document Detail


Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision-making.
MedLine Citation:
PMID:  22292589     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Riad Al-Kasasbeh; Nikolay Korenevskiy; Mahdi Alshamasin; Florin Ionescou; Andrew Smith
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-31
Journal Detail:
Title:  Computer methods in biomechanics and biomedical engineering     Volume:  -     ISSN:  1476-8259     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-2-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9802899     Medline TA:  Comput Methods Biomech Biomed Engin     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
a Faculty of Engineering Technology, Al-Balqa Applied University , Amman , Jordan.
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