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Acupoint selection principles in acupuncture and moxibustion for obesity based on Q-PSO algorithm

摘要Objective:To explore core acupoints and acupoint selection principles m acupuncture and moxibustion for obesity,from syndrome differentiation prescriptions of the acupuncture-moxibustion therapy in 808 obesity prescriptions,by using node centrality and cluster analysis methods in complex network.Methods:Firstly,an acupoint network model is established,and acupoint nodes are assessed and calculated in multiple aspects by introducing the node centrality analysis idea of complex network,to excavate core acupoint nodes.Secondly,a cluster analysis is carried out on acupoint network by the cluster algorithm Q-PSO for complex network,to investigate the acupoint combination principles.Results:Zúsānlǐ (足三里 ST36),Tiānshū (天枢 ST25),Fēnglóng (丰降 ST40),Zhōngwǎn (中脘CV12) and Qìhǎi (气海 CV6),etc.,were included into the core acupoint Sānyīnjiāo (三阴交 SP6) community.Zhīgōu (支沟 TE6),Nèitíng (内庭 ST44),Shàngjùxū (上巨虚ST37),and Pǐshū (脾俞 BL20) etc.,were included into the core acupoint Yīnlíngquán (阳陵泉 SP9) community.Báihuánshū (白环俞 BL30) and Zhìyáng(至阳 GV9) were included into the core acupoint Dàchángshū (大肠俞 BL25) community.Bìguān (髀关ST31) was a single core community.Among all the acupoint nodes,SP6,ST25,SP9,ST36,CV6,Qūchí (曲池 LI11),and Guānyuán (关元 CV4) were of high degree centrality and eigenvector centrality,directly reflecting their importance in acupoint selection prescriptions.Conclusion:The Q-PSO algorithm is characterized with high precision and high efficiency,etc.The core acupoints and their combination principles explored by this algorithm are in accordance with clinical experiences.

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世界针灸杂志(英文版)

世界针灸杂志(英文版)

2019年29卷3期

216-220页

MEDLINEISTICCSCDCA

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