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基于穴位能量特征和模糊逻辑的心脏病预测与早期诊断

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

作者信息

Al-Kasasbeh Riad, Korenevskiy Nikolay, Ionescou Florin, Alshamasin Mahdi, Kuzmin Alexander

机构信息

Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan.

出版信息

Comput Methods Biomech Biomed Engin. 2012;15(7):681-9. doi: 10.1080/10255842.2011.554644. Epub 2012 Jan 10.

DOI:10.1080/10255842.2011.554644
PMID:22229381
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.

摘要

许多反射疗法理论使用的是古老概念,与解剖学、生理学和生物物理学的现代医学术语并不相符。这极大地降低了医生对反射疗法的信任度。在这项研究中,提出了几种关于经络结构内部和生物活性点相互作用的数学模型。对这些模型的分析能够明确列出一些心脏病,对于这些心脏病,反射诊断和反射疗法最为有效,同时还能提高这些治疗程序的有效性。结果表明,利用模糊逻辑决策,从生物活性点(穴位)的反应能量中获得疾病预测和早期诊断的良好结果。

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