FACE READING IN CHINESE MEDICINE PDF

adminComment(0)

Mar 1, Books Download Face Reading in Chinese Medicine (PDF, ePub, Mobi) by Lillian Bridges Free Complete eBooks. Mountainous Features are those with bone: Forehead, Nose, Cheekbones and Jaw. • River Features are those associated with fluids that exude: Ears. An exciting new, full-colour edition of Face Reading in Chinese Medicine featuring over colour photographs and practical instructions on how to conduct a.


Face Reading In Chinese Medicine Pdf

Author:QUEENIE BLASIUS
Language:English, German, Dutch
Country:Canada
Genre:Science & Research
Pages:348
Published (Last):07.04.2016
ISBN:453-9-51766-168-3
ePub File Size:25.70 MB
PDF File Size:18.84 MB
Distribution:Free* [*Registration Required]
Downloads:33171
Uploaded by: CHARLINE

This books (Face Reading in Chinese Medicine, 2e [PDF]) Made by Lillian Bridges About Books none To Download Please Click. Face Reading in Classical Chinese Medicine - Download as PDF File .pdf), Text File .txt) or view presentation slides online. Face Reading in Classical. Emotions are fiery by nature, as they require both Shen and the strength of the Heart to ex- press them. When emotions are repressed and/or become toxic, they .

Clear Fire from Lungs. Benefit Water and Metal. Spleen 9 and 6.

Lung 10 and ah shi prox to Lung 10 needle vessel. Shui Jin Face Reading in Classical Chinese Medicine. Flag for inappropriate content.

Related titles. Diagnosis by Palpation in Traditional Chinese Medicine. Deng Churchill Livingstone, WW.

Mastering the Art of Abdominal - Dave Shipsey. Jump to Page.

Search inside document. CT Holman, M. Emotional Map. Support Lungs and Kidneys. Osmany Amador. Peggy Barouni. Tomas Mascaro. Tomas Diaz. Renugadevi Dinakaran. Manea Laurentiu. Aishwarya Neelamohan. Extensive experimental results show that the proposed features achieve highest facial color recognition performance with a total accuracy of And, furthermore, the proposed recognition framework could analyze both color and gloss degrees of facial complexion by learning a ranking function.

Introduction Nowadays, the Traditional Chinese Medicine TCM has become a global and important diagnostic approach in the medical field. In TCM, Inspection, auscultation and olfaction, interrogation, and palpation are four diagnostic methods to recognize the human pathological conditions. The traditional facial complexion diagnosis is an important part of inspection examination. The doctors can understand the physiological functions and pathological effects of human body through the inspection of complexion [ 1 ].

In retrospect, the inspection of complexion has been studied in TCM for a long time; however, it is still mainly based on the observations with practitioners' nude eyes. The disadvantage of nude observation is that it is likely to get inconsistent diagnostic results due to the large dependence on practitioners' subjective experiences and personal knowledge. Thus, it is worthwhile for TCM doctors and scholars to design an objective and reliable computer-assisted system for facial complexion diagnosis.

Recently, TCM experts stated that the notion facial complexion diagnosis includes two aspects: the facial color diagnosis and the facial gloss diagnosis. Therefore, by avoiding phrasing confusion, we declare here that we will employ the notion facial color instead of facial complexion, if it is basically studying one's facial color recognition. And we may still use the notion facial complexion, if it represents both color and gloss in this paper.

2nd Edition

According to the TCM facial diagnosis theory, diagnostic significance of five colors implicates the correlation between five colors of facial skin and diseases. That is, the changes of facial colors can reveal pathological changes of different viscera and bowels with different natures.

In addition, the lustre or gloss of skin refers to the reflective, shiny, and smooth characteristics of facial skin [ 2 ] which can help TCM experts to understand the states of visceral and bowels and the severity degrees of diseases. To make it more detailed, the human facial color always has two cases: normal color and morbid color. The normal or healthy color is always further divided into two parts: normal individual color and varied normal color.

The normal individual color refers to the normal natural color of skin that never changes in one's whole life due to ethnic and genetic factors.

For the varied normal color, it is influenced by environmental factors and will change slightly with respect to the variations of the climates and seasons.

With these varied colors, which essentially are not morbid colors, the analysis of facial color will be difficult to put into practice; even the TCM practitioners find it hard to discriminate it from morbid colors.

That will result in inconsistent diagnosis conclusion under different practitioners' observations.

Just like the assessment about consistency of TCM experts' diagnosis results [ 1 ]. Besides, different from normal color, morbid color could be reflected on one's face on the condition that the pathological changes of five internal viscera these are heart, liver, spleen, lungs, and kidney.

Face Reading in Chinese Medicine

The morbid color is classified to five colors: reddened facial color, bluish facial color, yellow facial color, pale facial color, and darkish facial color.

Their correlation with syndrome in TCM can be simply stated as follows: reddened color implies heat syndrome; bluish color represents blood stasis syndrome; yellow color suggests dampness syndrome and deficiency syndrome, convulsive syndrome, pain syndrome, and cold syndrome; pale color indicates deficiency syndrome and cold syndrome; darkish color hints cold syndrome, blood stasis syndrome, fluid-retention syndrome, and the deficiency of kidney syndrome [ 3 ].

Furthermore, various lustre or gloss of skin also manifests different states of diseases. For example, if a patient is considered normal and with healthy facial color, the gloss of skin would be always bright and moist; that is, glossy skin indicates that patient is healthy [ 2 ].

However, for the morbid color patient, the gloss of skin reflects the severity of diseases. Patient whose facial gloss is bright and moist would indicate mild illness and easiness to cure no matter what color it is, while dull and dry gloss represent serious illness and difficulty to cure. Generally speaking, it is significant to study the computerized facial color diagnosis more in-depth with multiple aspects.

download for others

In the following, we will firstly review related facial color diagnosis techniques and systems in TCM. Then, the shortcomings of existing frameworks will be discussed, eventually leading to our motivation for building a facial color diagnosis with both qualitative and quantitative methods.

A large amount of pattern recognition and data mining technologies have been developed and designed for medical analysis and diagnostic standardization. The literatures [ 5 , 6 ] propose novel algorithms for medical diagnosis and analysis. Recent machine learning algorithms, such as multi-label algorithm and multi-instance algorithm, have been introduced to deal with special medical data analysis [ 7 — 10 ].

Especially, some works about TCM four diagnostic methods [ 4 , 11 ] have also been studied recently. There is an extensive literature on TCM four diagnostic methods, but we prefer to review just a few papers relevant with facial complexion analysis. Early in China, some preliminary results have been reported in facial color analysis using colorimeter or infrared thermograph instrument. Unlike the previous foundation research, Liu and Guo [ 12 ] investigated the hepatitis diagnosis with face images by digital camera acquisition device.

In their system, five facial regions are firstly segmented using skin detection, facial normalization, and horizontal position of the mouth, nostril, and eyebrow location. But the segmentation results are not always correct which needs to be adjusted manually.

Qualitative and Quantitative Analysis for Facial Complexion in Traditional Chinese Medicine

So Wang et al. In addition, the fuzzy c-means FCM clustering method is introduced to extract the dominant color; finally six color spaces are considered and intensively analyzed for the best classification.

For the facial color analysis, the prior result [ 1 ] has established a five-color scale to measure facial color in RGB color space.

Another research [ 14 ] firstly extracts 15 diagnostic feature points using AdaBoost and Active Shape Model ASM , and, next, each rectangular region around each point will be used to calculate the facial color similarly as the above studies. More recently, Zhang et al. The texture features are firstly applied to their facial diagnosis system. For the facial gloss analysis, Zhang et al. Another main work for gloss classification is carried out using feature dimensionality reduction techniques [ 15 ].Deng Churchill Livingstone, WW.

Jenneey D Rajani.

Also read: BOB BOOKS PDF

An exciting new, full-colour edition of Face Reading in Chinese Medicine featuring over colour photographs and practical instructions on how to conduct a face reading! Engaging, insightful, highly readable text is written by a well-known and experienced lecturer in the field. One proposed way may overcome these problems as given in [ 14 ], but it is impractical to extract the basic skin color of upper arm for all the subjects.

This paper aims to make both qualitative and quantitative analysis for facial complexion. Shui Jin Face Reading in Classical Chinese Medicine. According to the TCM facial diagnosis theory, diagnostic significance of five colors implicates the correlation between five colors of facial skin and diseases.

But yet, in another sense, the severity of disease or the degree of complexion has not been studied as ever e.