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Study on Potential of Meridian Acupoints of Traditional Chinese Medicine
Author(s) -
Qiuping Li,
Tianxia Zhao,
Xin’an Wang,
Changpei Qiu,
Bing Zhou,
Hu Wang,
Bo Wang
Publication year - 2021
Publication title -
journal of healthcare engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.509
H-Index - 29
eISSN - 2040-2309
pISSN - 2040-2295
DOI - 10.1155/2021/5599272
Subject(s) - meridian (astronomy) , traditional chinese medicine , computer science , artificial intelligence , pattern recognition (psychology) , traditional medicine , medicine , pathology , alternative medicine , physics , astronomy
In recent years, Traditional Chinese Medicine (TCM) has attracted more and more attention due to its good therapeutic effect, low cost, and convenience. This research is also a part of the goal of the modernization of TCM. Based on the meridian electric potential acquisition system independently developed by our project team, in this paper, we designed the human body's meridian electric potential acquisition scheme. We use principal component analysis (PCA) to prove that the meridional potential signal is derived from the ECG signal. Then, Inception ResNet V2 was used to classify acupoints and nonacupoints. Finally, the classification accuracy rate reached 86.59045265, and the F1 score = 0.72161642. This shows that acupoints and nonacupoints can be distinguished by their surface potential.

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