A New Approach to the Position of Acupoints on the Back of Humans

Author:

Xie Shenglong12,Liu Zijing13,Zhang Liangan3,Song Fengfeng4

Affiliation:

1. Key Laboratory of Intelligent Manufacturing Quality Big Data Tracking and Analysis of Zhejiang Province, China Jiliang University, Hangzhou, Zhejiang, 310018, PR, China

2. Anhui Engineering Laboratory for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma’anshan, Anhui, 243032, PR, China

3. Hangzhou Qiandaohu Ruichun Robot Research Institute Co., Ltd, Hangzhou, Zhejiang, 310018, PR China

4. Zhejiang Shusi Robot Co., Ltd, Huzhou, Zhejiang, 313000, PR, China

Abstract

Aim: 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. Background: 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. Objective: 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. Methods: 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 fingercun measurement, after review of previous literature and patents. 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. Results: The value of emax is around 3.5mm and those of emae and erms are smaller than 0.25mm and 0.45mm, respectively. Conclusion: The experimental results prove that the proposed approach possesses the capability of good adaptive capability and high.

Funder

National Natural Science Foundation of China

Fundamental Scientific Research Funds for Zhejiang Province

open fund of Anhui Engineering Laboratory for Intelligent Applications and Security of Industrial Internet

Science & Technology Planning Project of Huzhou City

Publisher

Bentham Science Publishers Ltd.

Subject

General Materials Science

Reference21 articles.

1. Li J.; Wang Q.; Liang H.L.; Biophysical characteristics of meridians and acupoints: A systematic review. Evid-Based Complementray and Alternative Medicine 2012,2012,1-6

2. Vickers A.J.; Vertosick E.A.; Lewith G.; Acupuncture for chronic pain: Update of an individual patient data meta-analysis. J Pain 2018,19(5),455-474

3. Ma S.; Low electrical resistance properties of acupoints: Roles of NOergic signaling molecules and neuropeptides in skin electrical conductance. Chin J Integr Med 2021,27(8),563-569

4. Kim S.B.; Lee N.R.; Shin T.M.; Lee Y.H.; Development and evaluation of a multi-frequency bioelectrical impedance analysis analyzer for estimating acupoint composition. J Acupunct Meridian Stud 2014,7(1),33-43

5. Park H.D.; Song M.H.; Myoung H.S.; A new acupuncture point detection using the impedance measurement system based on ANF and Phase-Space-Method. In Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale 2007,2572-74

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3