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Objective: Multiscale Entropy(MSE)analysis was applied to investigate the complexity of the traditional Chinese medicine pulse condition of the patient with coronary heart disease (CHD), laying the foundation for the development and promotion of pulse diagnosis as a noninvasive diagnostic technique. Methods: Firstly MSE with window movement (WMSE) are used to analyze the complexity of pulses signal...
Multi-label learning task is using to solve problems of syndrome diagnosis for patients may simultaneously have more than one syndrome in traditional Chinese medicine (TCM). The two goals of multi-label learning are label prediction loss and relevance ordering loss. Most Multi-label learning algorithms focus on only one of the goals and neglect the other one. However, there is a multi-label learning...
Based on Science and information technology for support platform, using the diagnostic instrument of traditional Chinese medicine, collecting the information of Four Diagnostic Methods of TCM from healthy human populations and who has common diseases crowd, establishing the database of four diagnostic information and analysis of different groups of Chinese medicine syndrome characteristics and the...
In this study, we collected cases by means of uniform Information- Collection Scale of Inquiry Diagnosis for Cardiovascular Diseases in TCM. The diagnostic criteria were established, and each case was interpreted by associate chief physician or senior doctor. The value “1 or 0” was assigned to “with or without” information. By using Epidate 3.1, the information collected was entered by two persons...
The purpose of this paper is to provide objective gist for organ differentiation of traditional Chinese medicine (TCM). In this paper, we collected 803 voice signals of patients with five internal organs illness and 100 voice signals of normal persons. We extracted the sample entropy characteristic of each group when embedded dimension was 2. By analyzing the statistics result, we found: (1) the sample...
Chinese medical physicians obtain the patient's syndroms through inspection, auscultation and olfaction, inquiring, palpation(called si zhen in Chinese); and diagnose disease though 'syndrome differentiation'. Acquirement and integration of si zhen information are implemented according to personal knowledge and experience, which will lead to TCM diagnosis to be affected by subjective factors inevitably...
In this paper, a SIRS epidemic model with immunization on sparsely distributed regular lattice is proposed. Based on the model, we research the effects of immunized rate, crowd-density, spread efficiency and moving activity of agents on disease spread. The theoretical analysis and analog simulation indicate that immunization can increase the spreading threshold. Besides, there is a critical threshold...
The cardiovascular system is complex system containing many nonlinearities. Pulse signals are nonlinear reflecting the status of the heart and the vascular system. Sample entropy analysis can quantify signal regularity or the system complexity generating the signal. In this paper the wrist pulse signals of healthy group and coronary heart disease group are analyzed and studied with sample entropy...
Auscultation is one of the Four Diagnosis Methods in traditional Chinese medicine (TCM). It has been researched through various methods, including digital techniques. This paper is aimed to review studies using digital signal processing techniques in recent years. Two kinds of methods (traditional methods and nonlinear methods) were illuminated briefly, including principles, main parameters and algorithms...
TCM acoustic diagnosis is an important part of the diagnostics of traditional Chinese medicine. Voice can be used to reflect the functions of the viscera and the variations of the pathological conditions. In this paper vowel /a/ signals of healthy persons and patients with deficiency syndrome are analyzed and studied with Delay Vector Variance method. The results indicated that there exists distinct...
The cardiovascular system is complex system containing many nonlinearities. Pulse signals reflect the status of the heart and the vascular system. The chaotic properties of wrist pulse were seldom studied. Lyapunov exponents analysis can estimate the chaotic properties of the system. In this paper the wrist pulse signals of healthy group and coronary heart disease group are analyzed and studied with...
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