Research of Acupoint Location Methods in Traditional Chinese Medicine

Zhaozhao Fang

2022

Abstract

The advancement of science and technology has brought new opportunities and challenges to the development of Chinese medicine. In recent years, people have conducted extensive research on the methods of applying modern science and technology to acupoint positioning in Chinese medicine. Based on the current research status, the report summarizes and categorizes the general methods of the past 10 years. The methods are roughly divided into four categories, which are based on the direction of vision technology, based on algorithms, based on the direction of the electrical impedance characteristics of acupoints, and other methods. The methods are roughly divided into four categories, which are basedd on the direction of vision, algorithms, the direction of the electrical impedance characteristics of acupoint, and other methods. This paper makes a simple comparison of its advantages and disadvantages, and looksforward to the future research direction based on the integration of various other methods of vision technology. Thus, it could provide a certain reference for the future development of acupuncture point positioning technology.

Paper Citation

in Harvard Style

Fang Z. (2022). Research of Acupoint Location Methods in Traditional Chinese Medicine. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 513-517. DOI: 10.5220/0011373100003438

in Bibtex Style

@conference{ichih22,
author={Zhaozhao Fang},
title={Research of Acupoint Location Methods in Traditional Chinese Medicine},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={513-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011373100003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Research of Acupoint Location Methods in Traditional Chinese Medicine
SN - 978-989-758-596-8
AU - Fang Z.
PY - 2022
SP - 513
EP - 517
DO - 10.5220/0011373100003438