Visualizing Motion Patterns in Acupuncture Manipulation | Zendy

YeSeul Lee | Zendy; Won-Mo Jung | Zendy; InSeon Lee | Zendy; Hyangsook Lee | Zendy; HiJoon Park | Zendy; Younbyoung Chae | Zendy

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Visualizing Motion Patterns in Acupuncture Manipulation

Author(s) -

YeSeul Lee,

Won-Mo Jung,

InSeon Lee,

Hyangsook Lee,

HiJoon Park,

Younbyoung Chae

Publication year - 2016

Publication title -

journal of visualized experiments

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.596

H-Index - 91

ISSN - 1940-087X

DOI - 10.3791/54213

Subject(s) - acupuncture , imaging phantom , motion (physics) , computer science , visual feedback , process (computing) , human–computer interaction , software , physical medicine and rehabilitation , motion sensors , artificial intelligence , medical physics , medicine , alternative medicine , pathology , radiology , programming language , operating system

Acupuncture manipulation varies widely among practitioners in clinical settings, and it is difficult to teach novice students how to perform acupuncture manipulation techniques skillfully. The Acupuncture Manipulation Education System (AMES) is an open source software system designed to enhance acupuncture manipulation skills using visual feedback. Using a phantom acupoint and motion sensor, our method for acupuncture manipulation training provides visual feedback regarding the actual movement of the student's acupuncture manipulation in addition to the optimal or intended movement, regardless of whether the manipulation skill is lifting, thrusting, or rotating. Our results show that students could enhance their manipulation skills by training using this method. This video shows the process of manufacturing phantom acupoints and discusses several issues that may require the attention of individuals interested in creating phantom acupoints or operating this system.

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