Research on Traditional Chinese Medicine Intelligent Diagnosis Based on Arterial Blood Detection and Pulse Diagnosis

Jianjin Tang

2025

Abstract

Traditional Chinese Medicine (TCM) pulse diagnosis has always been regarded as an important means to reflect the operation of qi and blood in the body and the functions of the zang-fu organs. However, the traditional method has long relied on the subjective experience of doctors and lacks objective and quantitative standards, which limits its scientific promotion. This paper reviews the current research progress and technical approaches related to the combination of arterial blood detection technology and TCM pulse diagnosis. This article explores the use of modern instruments and equipment such as ultrasonic flowmeters and optical sensors to obtain key physiological indicators, including hemodynamics, pulse waveforms, vascular elasticity, and heart rate variability, and to establish a quantitative model of TCM pulse conditions. At the same time, multi-modal data fusion and machine learning methods are introduced to conduct feature extraction, classification, and intelligent diagnosis of pulse diagnosis signals. Moreover, a human-machine interaction system is integrated to optimize the display and practicality of the diagnostic results. The research shows that this technical solution is expected to significantly improve the accuracy and repeatability of TCM diagnosis, providing new ideas for the coordinated development of TCM and Western medicine.

Paper Citation

in Harvard Style

Tang J. (2025). Research on Traditional Chinese Medicine Intelligent Diagnosis Based on Arterial Blood Detection and Pulse Diagnosis. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 66-70. DOI: 10.5220/0014320400004718

in Bibtex Style

@conference{emiti25,
author={Jianjin Tang},
title={Research on Traditional Chinese Medicine Intelligent Diagnosis Based on Arterial Blood Detection and Pulse Diagnosis},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={66-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014320400004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Research on Traditional Chinese Medicine Intelligent Diagnosis Based on Arterial Blood Detection and Pulse Diagnosis
SN - 978-989-758-792-4
AU - Tang J.
PY - 2025
SP - 66
EP - 70
DO - 10.5220/0014320400004718
PB - SciTePress