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Intelligent analyzing and differentiating method of herbalist doctor through integrated references form four parts of diagnosis

It is a four-diagnosis and intelligent technology, which is applied in diagnosis, medical science, diagnosis record/measurement, etc. It can solve the problems that are difficult to meet the needs of clinical and teaching, and describe the basic laws of TCM syndrome differentiation.

Inactive Publication Date: 2006-04-19
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0003] In recent years, with the interpenetration of disciplines, computer technology has been widely used in the field of TCM diagnosis, but most of them focus on data collection and feature extraction of single-diagnosis such as tongue diagnosis and pulse diagnosis, and a small number of tongue-diagnostic diseases. However, it is difficult to effectively describe the basic laws of TCM syndrome differentiation with the system established by using the existing technology, and it is difficult to meet the needs of clinical and teaching.

Method used

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  • Intelligent analyzing and differentiating method of herbalist doctor through integrated references form four parts of diagnosis
  • Intelligent analyzing and differentiating method of herbalist doctor through integrated references form four parts of diagnosis
  • Intelligent analyzing and differentiating method of herbalist doctor through integrated references form four parts of diagnosis

Examples

Experimental program
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Effect test

Embodiment 1

[0074] 1. Data Acquisition

[0075] (1) Referring to Fig. 1 and Fig. 2, place the pressure-adjustable pulse diagnosis sensor at the radial artery of the patient's wrist to obtain the pulse voltage signal, which is converted by the pulse acquisition circuit (built-in signal amplification circuit, A / D analog-to-digital conversion circuit) It is a digital signal, which is input into a computer to obtain a pulse image.

[0076] (2) The patient puts his tongue into the acquisition box through a face mold, and the program controls the camera to take pictures of the tongue image, and the tongue image acquisition box has a built-in standard light source and a digital camera. In order to eliminate the influence of light and other interfering factors, a tongue image collection box is designed as the external shooting environment of the tongue image. The basic idea is to design it as an artificial darkroom.

[0077] (3) The auscultation information and consultation information are obtai...

Embodiment 2

[0140] Referring to Fig. 1, adopt pulse diagnosis sensor and pulse condition acquisition circuit in the implementation of the present invention, realize the acquisition of pulse signal by program control, and signal is preserved in computer designation position, realizes in computer by the pulse condition recognition method step based on Bayesian network Automatic analysis and discrimination of pulse condition; a tongue image acquisition box (built-in standard light source and digital camera) is designed to realize the acquisition of tongue image, and the built-in digital camera is controlled by the program to obtain the tongue image image, which is stored in a designated location and stored in the computer Recognition of tongue color, fur color, tongue quality and fur quality is realized according to the steps of the tongue image recognition method based on Bayesian network; the information of auscultation and consultation is obtained from the consultation, and input in the mod...

Embodiment 3

[0147] Example 3 Heart Qi Deficiency Case Detection

[0148] (1) In the implementation of the present invention, the pressure-adjustable pulse diagnosis sensor is placed at the radial artery of the patient's wrist to obtain the pulse voltage signal, which is converted into a digital signal via the pulse acquisition circuit (built-in signal amplification circuit, A / D analog-to-digital conversion circuit) , the collection of pulse signals is realized by program control, and the pulse charts under different pressures are obtained, see Figure 6.

[0149] (2) The patient puts his tongue into the acquisition box through a face mold, and the tongue picture is obtained by taking pictures with a program-controlled camera, see FIG. 7 .

[0150] (3) Realize the automatic analysis and discrimination of the pulse condition according to the steps of the pulse condition recognition method based on the Bayesian network, see Fig. 8 for the calculation result of the pulse pattern parameters, an...

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Abstract

An intelligent dialectics based on the probabilistic reasoning model of Bayes network and computing technology for traditional Chinese medicine to diagnose diseases is disclosed. The signal processing technique and image recognizing technique are used to automatically recognize the pulse condition and the tongue picture, analyze them and provide the result. In its interrogation interface, after the disease signs of a patient are input, the dialectic result can be output. It has also self-learning, storage and print function.

Description

technical field [0001] The invention relates to the field of quantitative diagnosis of traditional Chinese medicine, and is an intelligent syndrome differentiation system for realizing quantitative diagnosis of traditional Chinese medicine by combining computer technology, computational mathematics theory, intelligent information processing technology, multi-source information fusion theory and basic theory of traditional Chinese medicine. The system can comprehensively and accurately collect the patient's observation, smell, questioning, and palpation information, and automatically analyze and process the information of the four diagnosis, and give the result of syndrome differentiation. Background technique [0002] Traditional Chinese medicine is a precious cultural heritage of our country, with unique theories and rich experience, which has attracted the attention of the world. Traditional Chinese medicine has always emphasized the importance of looking, smelling, asking...

Claims

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Application Information

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IPC IPC(8): A61B5/00G06F17/00G06F19/00
Inventor 王慧燕程翼宇
Owner ZHEJIANG UNIV
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