Extraction and research of human acupoint outliers based on bioelectrical impedance

Jieni Wang; Hongfu Guo

doi:10.1117/12.3033090

5 July 2024 Extraction and research of human acupoint outliers based on bioelectrical impedance

Jieni Wang, Hongfu Guo

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 1318414 (2024) https://doi.org/10.1117/12.3033090
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Human acupoints have dynamic characteristics, that is, the parameters of human acupoints change dynamically under physiological or pathological conditions, but acupoints do not exist in the fixed position of human body surface like the foothold of traditional acupuncture and moxibustion treatment. therefore, in order to explore the dynamic characteristics of acupoint impedance when human body state changes and analyze the performance of abnormal meridian acupoints, this study proposes to use human body impedance parameter distribution measurement and characteristic analysis. Identify the abnormal situation of human acupoints, directly display the measured electrical impedance by the way of color map, reflect the different information of acupoints, and then infer the health status of the human body.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jieni Wang and Hongfu Guo "Extraction and research of human acupoint outliers based on bioelectrical impedance", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 1318414 (5 July 2024); https://doi.org/10.1117/12.3033090

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