Objective Evaluation of Pulse Width Using an Array Pulse Diagram.

Background: Pulse width, which can reflect , excess, and deficiency, has been used for diagnosing diseases and determining the prognosis in traditional Chinese medicine (TCM). This study aimed to devise an objective method to measure the pulse width based on an array pulse diagram for objective diagnosis.

Methods: The channel 6, the region wherein the pulse wave signal is the strongest, is located in the middle of the pulse sensor array and at the position of during data collection.

Study on the difference and regularity of tongue images in 309 patients with different pathological stages of non-small cell lung cancer.

Background: Tongue diagnosis is a crucial traditional Chinese medicine (TCM) inspection method for TCM syndrome differentiation and treatment.

Objective: The primary research focus was on tongue image characteristic parameters of patients with non-small cell lung cancer (NSCLC). Analysis of the tongue image parameters of various pathological stages of NSCLC provides technical support for establishing an integrated Chinese and Western auxiliary diagnosis and efficacy evaluation medicine system for lung cancer that integrates tongue image features.

Distribution characteristics of oral microbiota and its relationship with intestinal microbiota in patients with type 2 diabetes mellitus.

Introduction: Type 2 diabetes mellitus (T2DM) has a high incidence rate globally, increasing the burden of death, disability, and the economy worldwide. Previous studies have found that the compositions of oral and intestinal microbiota changed respectively in T2DM; whether the changes were associated or interacted between the two sites and whether there were some associations between T2DM and the ectopic colonization of oral microbiota in the gut still need to be identified.

Research Design And Methods: We performed a cross-sectional observational study; 183 diabetes and 74 controls were enrolled.

Relationships Between Diurnal Changes of Tongue Coating Microbiota and Intestinal Microbiota.

The oral cavity and the intestine are the main distribution locations of human digestive bacteria. Exploring the relationships between the tongue coating and gut microbiota, the influence of the diurnal variations of the tongue coating microbiota on the intestinal microbiota can provide a reference for the development of the disease diagnosis and monitoring, as well as the medication time. In this work, a total of 39 healthy college students were recruited.

A Study of Logistic Regression for Fatigue Classification Based on Data of Tongue and Pulse.

Methods: The Tongue and Face Diagnosis Analysis-1 instrument and Pulse Diagnosis Analysis-1 instrument were used to collect the tongue image and sphygmogram of the subhealth fatigue population ( = 252) and disease fatigue population ( = 1160), and we mainly analyzed the tongue and pulse characteristics and constructed the classification model by using the logistic regression method.

Results: The results showed that subhealth fatigue people and disease fatigue people had different characteristics of tongue and pulse, and the logistic regression model based on tongue and pulse data had a good classification effect. The accuracies of models of healthy controls and subhealth fatigue, subhealth fatigue and disease fatigue, and healthy controls and disease fatigue were 68.

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning.

Objective: To explore the data characteristics of tongue and pulse of non-small-cell lung cancer with Qi deficiency syndrome and Yin deficiency syndrome, establish syndrome classification model based on data of tongue and pulse by using machine learning methods, and evaluate the feasibility of syndrome classification based on data of tongue and pulse.

Methods: We collected tongue and pulse of non-small-cell lung cancer patients with Qi deficiency syndrome ( = 163), patients with Yin deficiency syndrome ( = 174), and healthy controls ( = 185) using intelligent tongue diagnosis analysis instrument and pulse diagnosis analysis instrument, respectively. We described the characteristics and examined the correlation of data of tongue and pulse.

Application of computer tongue image analysis technology in the diagnosis of NAFLD.

Nonalcoholic fatty liver disease (NAFLD), a leading cause of chronic hepatic disease, can progress to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Therefore, it is extremely important to explore early diagnosis and screening methods. In this study, we developed models based on computer tongue image analysis technology to observe the tongue characteristics of 1778 participants (831 cases of NAFLD and 947 cases of non-NAFLD).

Acupuncture combined with western medicine for the treatment of hypertension: A protocol for an updated systematic review and meta-analysis.

Background: Hypertension is a kind of cardiovascular syndrome with the main clinical manifestation of continuous increase of systemic arterial blood pressure. Hypertension coexists with other cardiovascular risk factors and is an important risk factor for cardiovascular and cerebrovascular diseases. Acupuncture is an important part of Traditional Chinese Medicine intervention.

Tongue image quality assessment based on a deep convolutional neural network.

Background: Tongue diagnosis is an important research field of TCM diagnostic technology modernization. The quality of tongue images is the basis for constructing a standard dataset in the field of tongue diagnosis. To establish a standard tongue image database in the TCM industry, we need to evaluate the quality of a massive number of tongue images and add qualified images to the database.

Radial Pulse Wave Signals Combined with Ba-PWV for the Risk Prediction of Hypertension and the Monitoring of Its Accompanying Metabolic Risk Factors.

Our aim was to study whether radial pulse wave signals can improve the risk prediction of incident hypertension and are associated with its concomitant metabolic risk factors beyond the traditional cardiovascular risk factor Ba-PWV. By enrolling 523 Chinese subjects in this study, linear and stepwise regression analysis was performed to assess the association of radial artery pulse wave signals and Ba-PWV with blood pressure and its related metabolic risk factors such as fasting plasma glucose (FPG), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and uric acid (UA). The area under the receiver-operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated by risk assessment plot to compare the discriminative ability among models with and without radial artery pulse wave signals.

Tongue color clustering and visual application based on 2D information.

Purpose: Studies have shown the association between tongue color and diseases. To help clinicians make more objective and accurate decisions quickly, we take unsupervised learning to deal with the basic clustering of tongue color in a 2D way.

Methods: A total of 595 typical tongue images were analyzed.

The Association of Radial Artery Pulse Wave Variables with the Pulse Wave Velocity and Echocardiographic Parameters in Hypertension.

This study aims at exploring the cardiovascular pathophysiological mechanism of TCM (traditional Chinese medicine) pulse by detecting the correlation between radial artery pulse wave variables and pulse wave velocity/echocardiographic parameters. Two hundred Chinese subjects were enrolled in this study, which were grouped into health control group, hypertension group, and hypertensive heart disease group. Physical data obtained in this study contained TCM pulse images at "Guan" position of the left hand, pulse wave velocity, and echocardiographic parameters.

A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave.

Objective: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk of hypertension by observing the dynamic change of the pulse wave and provide an objective reference for clinical application of pulse diagnosis in traditional Chinese medicine (TCM).

Method: The basic information from 450 hypertensive cases and 479 healthy cases was collected by self-developed H20 questionnaires and pulse wave information was acquired by self-developed pulse diagnostic instrument (PDA-1). H20 questionnaires and pulse wave information were used as input variables to obtain different machine learning classification models of hypertension.

Tongue Image Database Construction Based on the Expert Opinions: Assessment for Individual Agreement and Methods for Expert Selection.

This study aims at introducing a method for individual agreement evaluation to identify the discordant raters from the experts' group. We exclude those experts and decide the best experts selection method, so as to improve the reliability of the constructed tongue image database based on experts' opinions. Fifty experienced experts from the TCM diagnostic field all over China were invited to give ratings for 300 randomly selected tongue images.

Pulse Wave Cycle Features Analysis of Different Blood Pressure Grades in the Elderly.

Background And Objective: The same range of blood pressure values may reflect different vascular functions, especially in the elderly. Therefore, a single blood pressure value may not comprehensively reveal cardiovascular function. This study focused on identifying pulse wave features in the elderly that can be used to show functional differences when blood pressure values are in the same range.

Analysis of Pulse Signals Based on Array Pulse Volume.

Objective: To collect and analyze multi-dimensional pulse diagram features with the array sensor of a pressure profile system (PPS) and study the characteristic parameters of the new multi-dimensional pulse diagram by pulse diagram analysis technology.

Methods: The pulse signals at the Guan position of left wrist were acquired from 105 volunteers at the Shanghai University of Traditional Chinese Medicine. We obtained the pulse data using an array sensor with 3×4 channels.

The Classification of Tongue Colors with Standardized Acquisition and ICC Profile Correction in Traditional Chinese Medicine.

. The application of digital image processing techniques and machine learning methods in tongue image classification in Traditional Chinese Medicine (TCM) has been widely studied nowadays. However, it is difficult for the outcomes to generalize because of lack of color reproducibility and image standardization.

Syndrome Differentiation Analysis on Mars500 Data of Traditional Chinese Medicine.

Mars500 study was a psychological and physiological isolation experiment conducted by Russia, the European Space Agency, and China, in preparation for an unspecified future manned spaceflight to the planet Mars. Its intention was to yield valuable psychological and medical data on the effects of the planned long-term deep space mission. In this paper, we present data mining methods to mine medical data collected from the crew consisting of six spaceman volunteers.

[Analysis on pulse diagram characteristics of subjects with subhealth state].

Objective: To study the pulse diagram parameters of subjects with subhealth state and to find the pulse parameters for subhealth state evaluation.

Methods: A total of 1 275 subjects without diagnosed diseases were recruited and their health conditions were assessed with Health Evaluating Questionnaire H20 V2009. The subjects were assigned to health group or subhealth group according to the scale score.

[Facial spectrum and color characteristics of five viscera reflecting on the face in sub-health status].

Objective: To observe the facial spectrum and color of different points, the positions of heart, liver, spleen, lung and kidney of traditional Chinese medicine reflecting on the face, in healthy participants and those with a sub-health status, so as to provide an objective basis for health evaluation.

Methods: The health condition of 470 subjects without acute and chronic conditions was assessed using the Health Evaluating Questionnaire H20 V2009. The subjects were diagnosed with health (more than 80 score) or sub-health (score between 60 and 80) status according to the questionnaire score.

Objectified study on tongue images of patients with lung cancer of different syndromes.

Objective: To describe the characteristic of tongue images of patients with lung cancer of different Chinese medicine (CM) syndromes and to reveal the elemental rule on the changes of the tongue images.

Methods: A total of 207 patients with lung cancer were divided into four syndrome groups according to the theory of CM: Fei and Shen deficiency syndrome (Group A, 72 cases), Pi deficiency and phlegm deficiency and phlegm) and Shen (deficiency and phlegm) deficiency syndrome (Group A, 72 cases), Pi (deficiency and phlegm) deficiency and phlegm dampness syndrome (Group B, 57 cases), phlegm-heat retention in Fei (Group C, 36 cases) and yin asthenia generating intrinsic heat syndrome (Group D, 42 cases). The tongue parameters were detected by tongue image digital analysis instrument, and the tongue images were described with qualitative, tongue color and quantitative analysis, respectively.

[Determination methods for inspection of the complexion in traditional Chinese medicine: a review].

Inspection of the complexion is one of the characteristics of traditional Chinese medical diagnosis. Traditional Chinese medicine puts high emphasis on inspection of the complexion and there exists detailed discussion on inspection of facial expression in Neijing. The so-called inspection of facial expression is a method to diagnose diseases according to the theory of five Zang-organs matching five elements and five colors by distinguishing various changes of facial color, such as green, red, yellow, white and black based on yin and yang doctrine and five elements theory.

[Analysis of tongue color under natural daylight based on chromatic aberration correction].

Objective: To establish an analytical method for tongue image acquisition under natural daylight based on L*a*b* error correction, and to observe the classification rules of tongue color using color error correction.

Methods: The tongue images in 413 cases were collected under natural indoor daylight by using Nikon D70 digital SLR camera, and then the color error was adjusted by using Nikon Capture NX software correction according to Kodak Q-13 grey card. The classification and quantitative analysis of the tongue color after software correction was carried out depending on L*a*b* color space.