针灸临床杂志2024，Vol.40Issue(12)：47-55,9.DOI:10.19917/j.cnki.1005-0779.024234
基于数据挖掘技术探讨经皮穴位电刺激治疗脑卒中后肢体功能障碍的腧穴及参数应用规律
Exploring Acupoints and Parameter Application Patterns of TEAS for Treating Post-Stroke Limb Dysfunction Based on Data Mining Techniques
摘要
Abstract
Objective:To explore acupoints and parameter application patterns of transcutaneous electrical acupoint stimulation(TEAS)for treating post-stroke limb dysfunction based on data mining techniques.Methods:Clinical research literature on TEAS for post-stroke limb dysfunction were retrieved from CNKI,Wanfang,VIP,SinoMed,PubMed and Embase,starting from the establishment of the database to November 30,2023.Excel 2019,SPSS Modelerl8.0,Cytoscape and SPSS26.0 were used to create a clinical prescription database and perform descriptive analysis,association rule analysis and cluster analysis based on the data.Results:A total of 101 articles were included in the literature,involving 106 prescriptions and 62 acupoints,with application frequency of 466 times in total.Waiguan(TE5)was the most frequently used acupoint,with the most commonly selected meridian being the Hand-Yangming Large Intestine Meridian,and the highest frequency of use was on the upper limbs.He-sea points were often chosen within specific points.The acupoint combination with the highest association is TE5-Shousanli(LI10).Cluster analysis grouped the high-frequency acupoints into four effective categories.The most commonly used stimulation waveform for TEAS was the intermittent wave,with a stimulation frequency of mostly 100 Hz,a duration of 30 mins,and current intensity set at tolerance or maximum tolerance.Conclusion:The acupoint selection pattern of TEAS for treating post-stroke limb dysfunction reflects traditional Chinese medicine principles such as'treating atrophy by selecting Yangming alone','the therapeutic scope of acupoints'and'the balance of Yin and Yang',while also emphasizing the application of specific acupoints.Future research should further deepen the study of TEAS parameters,standardize parameter reporting,and enhance the reproducibility of research.关键词
经皮穴位电刺激/脑卒中/肢体功能障碍/数据挖掘/腧穴/参数Key words
Transcutaneous electrical stimulation of acupoints/Stroke/Limb dysfunction/Data mining/Acupoint/Parameter分类
医药卫生引用本文复制引用
张雨晴,吕元昊,邓士哲,刘健..基于数据挖掘技术探讨经皮穴位电刺激治疗脑卒中后肢体功能障碍的腧穴及参数应用规律[J].针灸临床杂志,2024,40(12):47-55,9.基金项目
国家重点研发计划,编号:2018YFC1706001 （）
天津中医药大学第一附属医院"拓新工程"基金,编号:ZD202103. （）
