Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical...Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.展开更多
Aim To investigate Traditional Chinese medicine(TMC) mask for freckles-removal because failed facial expression of qi(气) and blood due to their stasis and transport stagnancy is the key factor causing freckles.Method...Aim To investigate Traditional Chinese medicine(TMC) mask for freckles-removal because failed facial expression of qi(气) and blood due to their stasis and transport stagnancy is the key factor causing freckles.Method Traditional Chinese medicine is used to remove freckles.TMC mask,which contains Angelica sinensis,Angelica dahurica,Ampelopsis japonica,Bletilla striata,Ligusticum chuanxiongand Asarum sieboldii Miq 100g respectively,is the most respected in facial skin cosmetology in recent years.Results TCM facial mask is used to remove age spots and freckles.They generally help to make the skin smooth and firm and also help in curing freckles gradually.Conclusion The specific active ingredients along with breakthrough of skin absorption barrier are the keys for its effectiveness.展开更多
Facial paralysis is defined as severe or complete loss of facial muscle motor function possibly due to peripheral or central lesions.Currently,there are no effective treatment modalities for facial paralysis in wester...Facial paralysis is defined as severe or complete loss of facial muscle motor function possibly due to peripheral or central lesions.Currently,there are no effective treatment modalities for facial paralysis in western medicine.In Traditional Chinese Medicine(TCM),it is believed to be associated with malnutrition of facial muscles caused by qi stagnation and blood stasis due to wind-cold invasion.This article primarily investigated the key points of common syndromes,TCM nursing methods and healthy guidance of facial paralysis,aiming at maintaining and developing the strengths of TCM,improving its efficacy and standardizing its behavior.展开更多
基金National Key Research and Development Program of China(2022YFC3502302)National Natural Science Foundation of China(82074580)Graduate Research Innovation Program of Jiangsu Province(KYCX23_2078).
文摘Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.
文摘Aim To investigate Traditional Chinese medicine(TMC) mask for freckles-removal because failed facial expression of qi(气) and blood due to their stasis and transport stagnancy is the key factor causing freckles.Method Traditional Chinese medicine is used to remove freckles.TMC mask,which contains Angelica sinensis,Angelica dahurica,Ampelopsis japonica,Bletilla striata,Ligusticum chuanxiongand Asarum sieboldii Miq 100g respectively,is the most respected in facial skin cosmetology in recent years.Results TCM facial mask is used to remove age spots and freckles.They generally help to make the skin smooth and firm and also help in curing freckles gradually.Conclusion The specific active ingredients along with breakthrough of skin absorption barrier are the keys for its effectiveness.
文摘Facial paralysis is defined as severe or complete loss of facial muscle motor function possibly due to peripheral or central lesions.Currently,there are no effective treatment modalities for facial paralysis in western medicine.In Traditional Chinese Medicine(TCM),it is believed to be associated with malnutrition of facial muscles caused by qi stagnation and blood stasis due to wind-cold invasion.This article primarily investigated the key points of common syndromes,TCM nursing methods and healthy guidance of facial paralysis,aiming at maintaining and developing the strengths of TCM,improving its efficacy and standardizing its behavior.
