Pulse Pose Follow Control and Simulation for a 4-DOF Pulse Diagnosis Robot

This article describes the experience of objectification of basic characteristics of pulse waves in pulse diagnosis based on Tibetan medical tradition. A competent therapist – expert in Tibetan pulse diagnosis can assess functionality of the body (twelve internal organs and three psychophysiological systems) by feeling the pulse in six points of palpation located on the radial arteries of both wrists of the patient. The goal of this research consists in “teaching” pulse diagnostic device to recognize the diagnostically relevant characteristics of pulse waves. The article represents an attempt of objectification of the fundamentals of pulse diagnosis. Although pulse diagnosis has always been a subjective art of the talented therapist, its basic knowledge can become part of objective science as it is based on the real physical phenomena. The author describes the method of measuring pulse rate using a pulse diagnostic device in the conditions that create certain predictable responses of the body to an exogenous irritant, which in this case contributes to calming the rlung (wind) system. The experiment involved a group of volunteers. The conclusion is made that similar experiments provide material for the analysis of pulse waves acquired under specifically arranged conditions, which promotes the development of software fort the pulse diagnostic device, and proves that the objectification of fundamentals of pulse diagnosis in the Tibetan medicine is possible, although on a limited basis. The novelty is defined by the fact that the research based on the material of Tibetan medical tradition have not been previously conducted. The work consists of the three parts: first part is an extensive introduction that provides records on Buddhist medicine and pulse diagnosis, which help to understand the essence of the experiments; second part is dedicated to the experimental measurements of pulse rate using pulse diagnostic device; and third part represents the conclusions drawn from the conducted experiments.

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Pulse Diagnosis Signals Analysis of Fatty Liver Disease and Cirrhosis Patients by Using Machine Learning

The Scientific World JOURNAL ◽

10.1155/2015/859192 ◽

2015 ◽

Vol 2015 ◽

pp. 1-9 ◽

Cited By ~ 7

Author(s):

Wang Nanyue ◽

Yu Youhua ◽

Huang Dawei ◽

Xu Bin ◽

Liu Jia ◽

...

Keyword(s):

Liver Disease ◽

Fatty Liver ◽

Healthy Volunteers ◽

Unsupervised Learning ◽

Supervised Learning ◽

Fatty Liver Disease ◽

Principal Component ◽

Identification Accuracy ◽

Pulse Diagnosis ◽

Significant Difference

Objective. To compare the signals of pulse diagnosis of fatty liver disease (FLD) patients and cirrhosis patients.Methods. After collecting the pulse waves of patients with fatty liver disease, cirrhosis patients, and healthy volunteers, we do pretreatment and parameters extracting based on harmonic fitting, modeling, and identification by unsupervised learning Principal Component Analysis (PCA) and supervised learning Least squares Regression (LS) and Least Absolute Shrinkage and Selection Operator (LASSO) with cross-validation step by step for analysis.Results. There is significant difference between the pulse diagnosis signals of healthy volunteers and patients with FLD and cirrhosis, and the result was confirmed by 3 analysis methods. The identification accuracy of the 1st principal component is about 75% without any classification formation by PCA, and supervised learning’s accuracy (LS and LASSO) was even more than 93% when 7 parameters were used and was 84% when only 2 parameters were used.Conclusion. The method we built in this study based on the combination of unsupervised learning PCA and supervised learning LS and LASSO might offer some confidence for the realization of computer-aided diagnosis by pulse diagnosis in TCM. In addition, this study might offer some important evidence for the science of pulse diagnosis in TCM clinical diagnosis.

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