运用数据挖掘技术分析温灸法在缺血性脑卒中患者肢体康复护理的选穴特点。全面检索中国期刊全文数据库(CNKI)、万方数据库、中文科技期刊全文数据库(维普)、中国生物医学文献数据库(CBM),通过收集温灸法干预卒中后肢体障碍的文献,建立数据库并利用数据挖掘技术分析温灸法干预卒中后肢体障碍的选穴规律和特点。收集到的文献共涉及119个穴位,总使用频次为534次。腧穴的选择上以局部取穴为主,运用频次最高的穴位依次是曲池(40次)、合谷(36次)、肩髃(33次)、外关(29次)、足三里(25次)。在经络的选择上多考虑阳经腧穴,同时要重视特定穴特别是交会穴的使用。关联分析结果显示曲池、合谷、肩髃、外关、手三里等穴的相关性较高,聚类分析结果提示采用温灸法时联合使用腧穴以达到更佳的干预效果。
data mining technology was used to analyze the acupoint selection characteristics of warm moxibustion in limb rehabilitation nursing of patients with ischemic stroke. A comprehensive search of CNKI, Wanfang, VIP and CBM was carried out to establish a database and analyze the rules and characteristics of acupoint selection of warm moxibustion for limb disorders after stroke by collecting the literatures on warm moxibustion intervention for post-stroke limb disorders. A total of 119 acupoints were collected, and the total frequency was 534 times. The most frequently used acupoints were Quchi (40 times), Hegu (36 times), Jianyu(33 times), Waiguan (29 times) and Zusanli (25 times). In the selection of meridians, we should pay more attention to the use of specific points, especially intersection points. The results of correlation analysis showed that Quchi, Hegu, Jianye, Waiguan and shousanli were highly correlated. Cluster analysis showed that the combination of acupoints could achieve better intervention effect.