摘要
研究古代针灸治疗眩晕穴位的选取、配伍特点及经络运用规律。从先秦到清代涉及针灸治疗眩晕内容的文献中收集相关数据,建立数据库,采用频数统计和支持度对比法进行分析,找寻腧穴、经络运用规律;采用数据挖掘技术的关联规则,提炼出穴位的配伍方法。由此总结出治疗眩晕运用频次和支持度较高的腧穴依次是风池、上星、阳谷、解溪、足临泣、神庭等;采用的配穴方法多为局部配穴法、本经配穴法、上下配穴法、阳经与阳经配穴法、子母经配穴法;经络多选足太阳膀胱经、足少阳胆经和督脉。对比古今文献资料,发现古代取穴、选经、配穴方法与现代临床有相同点,但选穴用阳谷、解溪、飞扬,配穴用子母经配穴法为现代临床所少见,可为现代提供参考。
The characteristics of selection and matching acupoint and application rules of meridians in ancient acupuncture literature for vertigo were explored. The data were collected from literature regarding acupuncture for vertigo from the pre-Qin period to Qing dynasty and then database was established. Frequency statistics method and comparison of support degree were applied to analyze and explore application rules of acupoints and meridians, while association rules in data mining was used to extract combinations of acupoints. As a result, for treatment of vertigo, according to frequency of use and support degree, generally the most selected acupoints, in turn, were Fengchi (GB 20), Shangxing (GV 23), Yanggu (SI 5), Jiexi (ST 41), Zulinqi (GB 41) and Shenting (GV 24), etc. the most methods for matching acupoint were combination of adjacent acupoints, combination of same-meridian acupoints, combination of the superior-inferior acupoints, combination of yang-meridian and yang-meridian acupoints and combina- tion of child-mother meridians acupoints~ the most selected meridians were bladder meridian of foot-taiyang, gallbladder meridian of foot-shaoyang and governor vessel. Compared between the ancient and modern literature, it was found out that the ancient and modern clinic has same points in selection of acupoint-meridian and matching acupoints methods. However, the use of Yanggu (SI 5), Jiexi (ST 41) and Feiyang (BL 58) as well as combination of child-mother meridians acupoints were less seen in modern clinic, which could provide new reference.
出处
《中国针灸》
CAS
CSCD
北大核心
2014年第4期359-362,共4页
Chinese Acupuncture & Moxibustion
基金
国家中医药管理局中医药重点学科(针灸学)建设项目:国中医药发[2009]30号
2013国家自然科学基金项目:81373757
关键词
眩晕
针灸处方
数据挖掘
文献研究
vertigo
acupuncture prescription
data mining
literature research