Location of acupuncture points based on graph convolution and 3D deep learning in virtual humans

Author:

Ji Xiaoyun1ORCID,Zhou Lanfeng1

Affiliation:

1. School of Computer Science & Information Engineering Shanghai Institute of Technology Shanghai China

Abstract

AbstractAutomatic acupoint searching is an indispensable part of intelligent acupuncture robot. Clinical practice have proofed that Dazhu, Fengmen and Xinshu, which could be located by Dazhui, are curative when these points are acupuncture. The existing methods are mainly based on regular or image. The regular‐based methods are based on the experience of physicians, and the accuracy will decrease for different patients; While the image‐based methods will lose some features in image. In order to solve the existing problems, we propose a novel graph convolution mixed with point cloud deep learning method. In this method, the skinned multi‐person linear model is regarded as a graph structure input, and the coarsened graph is obtained by graph convolution. After feeding the coarsened graph into the PointNet network, the coordinates of Dazhui are output. Different from the existing methods, the proposed method can directly label the results on the adaptive model, thus improving the accuracy on different models. An optimization method based on graph structure is introduced for better fit the predicted acupoints to the surface. In addition, a dataset marked with Dazhui is constructed for training. Experiments show that the accuracy of positioning could meet the requirements of needle application under certain circumstances.

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design,Software

Reference56 articles.

1. Feasibility analysis on acupuncture therapy for the treatment of Corona virus disease and the exploration on the application scheme;Wang R;Acupuncture Res,2020

2. Analysis on Acupoint selection rules of acupuncture and Moxibustion treating pulmonary diseases under the background of epidemic prevention and treatment of COVID 19;Guo Y;Modern Traditional Chinese Med Materia Materia World Sci Technol,2020

3. Qualitative research on acupuncture treatment of patients with COVID‐19 based on In‐depth interview;Wang Y;JETCM,2022

4. Analysis of the prevention and treatment of COVID‐19 and epidemics by acupuncture;Zhou Y;Western J Tradit Chin Med,2022

5. Application of acupuncture in COVID‐19 prevention and treatment;Li Y;Shanghai J Acu‐Mox,2022

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