基于大数据下ASM算法的腧穴定位研究  

Research on Acupoint Location Based on ASM Algorithm in Big Data

作　　者：牛斌超 刘金树[1] 杨铮 赵会琴 李晓湘 龙海斌 NIU Bin-chao;LIU Jin-shu;YANG Zheng;ZHAO Hui-qin;LI Xiao-xiang;LONG Hai-bin(Songlin School of Design and Art,Nanhua University,Hengyang Hunan 421001)

机构地区：[1]南华大学松霖设计艺术学院,湖南衡阳421001

出　　处：《数字技术与应用》2021年第7期96-99,共4页Digital Technology & Application

基　　金：国家级大创项目资金支持(g201910555005X)。

摘　　要：本文通过对腧穴以及机制原理的研究,更深层次地探讨腧穴定位。对于古今中外的腧穴定位法进行剖析和解读,结合大数据以及ASM算法,从而得出基于大数据下ASM算法的腧穴定位法,提高了腧穴定位的准确率以及效率,与现有的腧穴定位方法相比,具有明显的优越性以及实际应用性,另外建立了庞大的数据样本以及实验化数据、精准的数学模型,可以进行更精确、更快速地处理,为之后广泛的应用提供了强有力的保障,具有很大的应用前景。This article explores the location of acupoints in a deeper level through the study of acupoints and their mechanism principles.Analyze and interpret the ancient and modern methods of acupoint positioning,combining big data and ASM algorithm,and get the acupoint positioning method based on the ASM algorithm under big data,which improves the accuracy and efficiency of acupoint positioning,and compares with the existing acupoint positioning methods.In comparison,it has obvious advantages and practical applicability.In addition,a huge data sample,experimental data,and precise mathematical model have been established,which can be processed more accurately and quickly,providing a powerful tool for a wide range of applications in the future.Guarantee,has great application prospects.

关 键 词：腧穴 定位 大数据 ASM算法 

分 类 号：R245[医药卫生—针灸推拿学] TP242[医药卫生—中医临床基础]