The Journal of Korean Medicine (대한한의학회지)

The Society of Korean Medicine (대한한의학회)
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Principle of major acupoints composition: focus on Four Command and Star Twelve points

주요 경혈 구성원리 고찰: 사총혈과 천성십이혈을 중심으로

  • Da-Eun Yoon (Department of Science in Korean Medicine, Graduate School, Kyung Hee University) ;
  • Heeyoung Moon (Department of Science in Korean Medicine, Graduate School, Kyung Hee University) ;
  • Yeonhee Ryu (KM Science Research Division, Korea Institute of Oriental Medicine) ;
  • Younbyoung Chae (Department of Science in Korean Medicine, Graduate School, Kyung Hee University)
  • 윤다은 (경희대학교 대학원 기초한의과학과) ;
  • 문희영 (경희대학교 대학원 기초한의과학과) ;
  • 류연희 (한국한의학연구원 한의과학부) ;
  • 채윤병 (경희대학교 대학원 기초한의과학과)
  • Received : 2024.07.29
  • Accepted : 2024.08.19
  • Published : 2024.09.01
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Abstract

Objectives: In order to select proper acupoints, it is important to understand the principle of major acupoints composition among 361 acupoints. Methods: We investigated the composition of major acupoints from Four Command points to Star Twelve points based on the classical medical texts. We reviewed the common principle of major acupoints composition. Results: First, major acupoints are chosen to treat the targeted diseases associated with the corresponding meridian channels and these acupoints are located in distal part of the body below the knee and the elbow. Second, main acupoints are supposed to be the representative points among acupoints with similar indications. Main acupoints can be selectively to treat a specific disease or condition, rather than be used for general effect simultaneously. Conclusions: We demonstrated the major acupoints from classical medical texts and revealed the common principles of major acupoints composition. These findings can help Korean medical doctors to choose more appropriate acupoints by understanding the principle of major acupoints composition.

Keywords

Acknowledgement

This research was supported by Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (MSIT) [No. RS-2022-00155911, Artificial Intelligence Convergence Innovation Human Resources Development (Kyung Hee University)].

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