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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...
Objectives: Coronary Heart Disease (CHD) is the leading cause of death for adults worldwide. Pulse diagnosis is a specific diagnostic method in the Traditional Chinese Medicine (TCM). The purpose of this study is to identify the differences of the pulse among CHD patients, cardiovascular disease patients without CHD (Non-CHD) and healthy individuals (Normal). Additionally, to calculate the classification...
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...
The purpose of this paper is to analyze the auscultation signals in Traditional Chinese Medicine utilizing discrete wavelet (DWT) and approximate entropy (ApEn). In this paper ApEn is used to quantify pathological voicing in qi-deficiency, yin-deficiency and health using the voice samples in the time and frequency domain. Since ApEn is a viable single figure of merit, it has the potential to make...
Pulse diagnosis is one of important diagnosis methods in Traditional Chinese Medicine (TCM). Recognition of TCM pulse has received more and more attention in recent years. Extracting proper features is crucial for satisfactory classification. While most of previous methods for feature extraction of TCM pulse have no specific correlation with the mechanism of TCM pulse, a hemodynamics method is used...
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...
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