| viXra.org > Artificial Intelligence > viXra:2410.0027 |
 |
 |
| viXra.org > Artificial Intelligence > viXra:2410.0027 |
|
|
Artificial Intelligence |
|
Authors: HaiSheng Wang
With the popularization of smart wearable devices, the collection of continuous pulse waveforms has become easier and easier, providing convenience for health monitoring. This study explores the use of pulse waveform data collected by modern wearable devices, combined with spectrum analysis technology, to explore physiological indicators related to the organ systems of "heart, liver, spleen, lungs, and kidneys" in traditional Chinese medicine. Based on the pulse diagnosis theory of traditional Chinese medicine, the study explored the changes in pulse waves under different organ states by analyzing the harmonic characteristics of pulse waves, and how these changes are related to the syndrome classification system of traditional Chinese medicine.
随着智能穿戴设备的普及，连续脉搏波形的采集变得越来越容易，为健康监测提供了便利。本研究探讨了利用现代穿戴式设备采集的脉搏波形数据，结合频谱分析技术，探索与中医"心、肝、脾、肺、肾"器官系统相关的生理指标。研究基于中医脉诊理论，通过分析脉搏波的谐波特征，探讨了不同器官状态下的脉搏波变化，以及这些变化如何与中医证型分类体系相联系。
Comments: 21 Pages. (Correction made by viXra Admin to conform with the requirements of viXra.org)
Download: PDF
[v1] 2024-10-05 20:03:29
Unique-IP document downloads: 161 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.
| Third-Party Links: |
|