上海针灸杂志2017，Vol.36Issue(8)：1012-1020,9.DOI:10.13460/j.issn.1005-0957.2017.08.1012
基于运动视频和自组织特征映射神经网络的针刺提插手法量化分类研究
Study on Quantification and Classification of Acupuncture Lifting-thrusting Manipulations on the Basis of Motion Video and Self-organizing Feature Map Neural Network
摘要
Abstract
Objective To obtain the classification and characteristics of acupuncture manipulations by analyzing teacher's lifting-thrusting manipulation parameters derived from Germany-made Simi Motion 3D image analysis system using self-organizing feature map neural network (SOM). Method Thirty acupuncture teachers were selected for the study. Unilateral Quchi (LI11) was used as a point for acupuncture. A motion video of lifting-thrusting even reinforcing-reducing, reinforcing and reducing manipulations was made. The video was analyzed using Simi Motion 3D image analysis system to obtain original motion parameters at thumb tip tracking mark point. Teacher's manipulation classification parameters were analyzed using SOM. Result Acupuncture manipulation parameters showed nonnormal distribution with larger dispersion. Even reinforcing-reducing and reinforcing manipulations could be classified into four types and reducing manipulation, into five types. The characteristics of every type showed general concentration degree. Conclusion Acupuncture manipulation parameters overall showed the diversity characteristics of nonnormal distribution and are typical "artificial control curve". They have the characteristic of lower concentration degree of neural network classification. Their classification is mainly based on curve shape and cycle length and related to the degree of difficulty of manipulation. This technique can be applied to the quantitative analysis of various manipulationsand the study of technical inheritance and provide reference for the standardization of acupuncture manipulation.关键词
针刺手法/提插补泻/运动视频/神经网络/分类研究Key words
Acupuncture manipulation/lifting-thrusting reinforcement and reduction/Motion video/Neural network/Classification study分类
医药卫生引用本文复制引用
唐文超,杨华元,刘堂义,高明,徐刚..基于运动视频和自组织特征映射神经网络的针刺提插手法量化分类研究[J].上海针灸杂志,2017,36(8):1012-1020,9.基金项目
国家自然科学基金青年科学基金项目(81403469) （81403469）
