人体背部穴位定位的新方法

Q4 Engineering
Shenglong Xie, Zijing Liu, Liang’an Zhang, Fengfeng Song
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引用次数: 0

摘要

为了实现人体背部穴位的定位,本文提出了一种结合机器视觉技术的穴位定位新方法。穴位是中医治疗的重要参考。然而,传统的穴位定位方法主要依靠人力,存在效率低、严重依赖实践经验的缺点。为了实现人体背部穴位的定位,本文提出了一种结合机器视觉技术的穴位定位新方法。首先,根据经络理论确定人体背部穴位的分布,并采用指村测量法建立各穴位的坐标。其次,介绍了基于人体骨骼模型的穴位定位方法的原理。最后,通过实验验证了该方法的有效性。emax的值约为3.5mm,emae和erms的值分别小于0.25mm和0.45mm。实验结果表明,该方法具有良好的自适应能力和较高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Approach to the Position of Acupoints on the Back of Humans
In order to realize the position of acupoints on the back of humans, a new acupoints positioning approach combined with machine vision technology is proposed in this paper. The acupuncture point (acupoint) is an important reference in the treatment of Traditional Chinese Medicine (TCM). However, the traditional acupoints positioning method mainly depends on manpower, which has the disadvantages of low efficiency and relying on practical experience heavily. In order to realize the position of acupoints on the back of humans, a new acupoints positioning approach combined with machine vision technology is proposed in this paper. Firstly, the distribution of acupoints on the back of humans are determined according to the meridian theory, and the coordinate of each acupoint are established based on the approach of finger-cun measurement. Secondly, the principle of the proposed acupoints positioning method is introduced based on the skeleton model of humans. Finally, the effectiveness of the proposed approach is validated by experimental testing. The value of emax is around 3.5mm and those of emae and erms are smaller than 0.25mm and 0.45mm, respectively. The experimental results prove that the proposed approach possesses the capability of good adaptive capability and high.
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来源期刊
Recent Patents on Mechanical Engineering
Recent Patents on Mechanical Engineering Engineering-Mechanical Engineering
CiteScore
0.80
自引率
0.00%
发文量
48
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