WO2017202011A1 - 一种人体经络穴位生物电信号测量数据的三维分析方法 - Google Patents
一种人体经络穴位生物电信号测量数据的三维分析方法 Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4854—Diagnosis based on concepts of traditional oriental medicine
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
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- A—HUMAN NECESSITIES
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- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
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- the invention relates to a three-dimensional analysis method for measuring bioelectric signal of human meridian acupoints.
- the "Yellow Emperor's Internal Classic” is divided into two parts: “Lingshu” and “Su Wen”. It is the earliest medical classics in China.
- the "Yellow Emperor's Internal Classic” theoretically established the yin and yang five elements of Chinese medicine, and pointed out that meridians can control human life activities. It is a network system that transmits and feedbacks human life information.
- "Su Wen. Linglan Secret Code”: 'Three Jiao the official of the decision, the waterway out. 'Sub-focus, medium focus, lower focus.
- the upper focus generally refers to the upper part of the chest, including the heart and lungs;
- the middle focus refers to the lower part of the umbilical area, including the spleen, stomach and other organs;
- the lower focus refers to the lower part of the umbilicus, including the kidney, bladder, small intestine
- the large intestine in terms of pathophysiology, it also includes the liver with a higher part, so the lower focus is often liver and kidney).
- the human body has twelve serious and odd eight veins.
- the existence of human meridians and acupoints in the theory of meridians of traditional Chinese medicine has been verified by modern scientific testing methods. It is confirmed that the human meridian line is similar to a semiconductor, and the very narrow one that increases conductivity with increasing temperature has conductivity, sound conduction, The channels of magnetic conduction and thermal conduction function, but without specific anatomical morphology, collide with the hidden conduction meridians between cells.
- the object of the present invention is to provide a three-dimensional analysis method for bioelectrical signal measurement data of human meridian acupoints, based on the principles of six-dimensional dialectics and three-focus classification, the pathological data of human meridian acupoint bioelectrical signals and the pathology of meridians and viscera The changes correspond to provide a data reference for further diagnosis.
- the invention provides a three-dimensional analysis method for bioelectrical signal measurement data of human meridian acupoints, comprising the following steps:
- Step 1 Collect bioelectrical signals of human meridians and acupoints at the six points of the left or right hand and foot through the TCM meridian impedance information collecting instrument.
- the acupoints include: Taiyuan point of the hand Taiyin lung, and Shenmen point of the hand Shaoyin heart. , the Chongyang Point of the Foot-Yangming Stomach, the Taibai Point of the Foot Taiyin Spleen, the Taichong Point of the Foot-Yin-Yin-Head, and the Taixi Point of the Foot Shaoyin Kidney;
- Step 2 According to the principle of six-diabetes and three-focus classification, the above acupoints are divided into acupuncture points: Shenmen X 1 of the hand Shaoyin heart and Taiyuan X 2 of the hand Taiyin lung; Zhongjia acupoint: Hand and foot Yangming Xingyang Point X 3 of the stomach and Taibai Point X 4 of the foot Taiyin Spleen; Lower acupoints: Tai Chong X 5 of the foot yin and liver and Taixi X 6 of the foot Shaoyin Kidney, for each acupuncture point
- Step 3 For the sample object of the known disease, the bioelectric signal measurement data is collected as sample data according to the 6 acupoints of step 1, and one of the upper, middle or lower focus points is selected as a vertex, and the selected three vertices constitute An array of vertices, for each vertex, further selects four acupoints in the six acupoints which are in phase, phase, multiplication and phase relationship with the apex, and together with the apex, a total of five acupoint measurements, the five acupoints are measured
- the product of the values is used as an observation index, and the three observed indicators constitute an array of observation indicators.
- the clustering analysis algorithm is used to classify the array of observation indicators of the sample objects, and the categories of the separated objects are combined with the professional knowledge and analysis of the diseases of the sample objects. The purpose of the definition is to explain the characteristics of each category;
- Step 4 The test object collects the bioelectric signal measurement data according to the 6 acupoints of step 1, and obtains the acupoint measurement data matrix X.
- one of the upper, middle or lower focus points is selected as the apex, respectively.
- the three vertices form an array of vertices, and for each vertice, four acupoints which are in phase, phase, multiplication and phase relationship with the vertices are further selected among the six acupoints, and a total of five acupoint measurements are obtained together with the apex.
- the product of the five acupoint measurement values is used as an eigenvalue, and the calculated three eigenvalues constitute an array of eigenvalues, and the eigenvalue array of the measurement data is further determined by a discriminant analysis algorithm to determine the class attribution of the measurement data, which is further Diagnostics provide a reference.
- the present invention collects bioelectrical signal measurement data of acupuncture points on the upper and lower limbs of the human body, according to the basic theory of traditional Chinese medicine, the acupoints of the original acupoints can reflect the pathological change trend of the organs or the sputum; the invention is based on the dialectical of the six classics, "Su Wen. Ling In the Theory of the Three-Joule Theory, when classifying the sample data, the acupoints are selected according to the three-focus space, and the product of the measurement data of the acupoints that are multiplied by the acupoints is used as an observation index.
- the category can correlate the bioelectrical signal measurement data of human meridian points with the pathological changes of meridians and organs, express the pathological changes of meridians and organs, and provide quantitative data reference for further diagnosis, which is convenient for doctors to obtain correct diagnosis results.
- the invention provides a three-dimensional analysis method for bioelectrical signal measurement data of human meridian acupoints, comprising the following steps:
- Step 1 Collect bioelectrical signals of human meridians and acupoints at the six points of the left or right hand and foot through the TCM meridian impedance information collecting instrument.
- the acupoints include: Taiyuan point of the hand Taiyin lung, and Shenmen point of the hand Shaoyin heart. , the Chongyang Point of the Foot-Yangming Stomach, the Taibai Point of the Foot Taiyin Spleen, the Taichong Point of the Foot-Yin-Yin-Head, and the Taixi Point of the Foot Shaoyin Kidney;
- Step 2 According to the principle of six-diabetes and three-focus classification, the above acupoints are divided into acupuncture points: Shenmen X 1 of the hand Shaoyin heart and Taiyuan X 2 of the hand Taiyin lung; Zhongjia acupoint: Hand and foot Yangming Xingyang Point X 3 of the stomach and Taibai Point X 4 of the foot Taiyin Spleen; Lower acupoints: Tai Chong X 5 of the foot yin and liver and Taixi X 6 of the foot Shaoyin Kidney, for each acupuncture point
- Step 3 For the sample object of the known disease, the bioelectric signal measurement data is collected as sample data according to the 6 acupoints of step 1, and one of the upper, middle or lower focus points is selected as a vertex to form a vertex array [A 1 , a 2, a 3], further select the six points in the form of the vertex a i Aioi, point four grams, and multiplying the phase relationship insult, along with the apex a total of five measurement points i, the five
- Each category of the classification is defined according to the condition of the sample object combined with the professional knowledge and the purpose of analysis, that is, the characterization of each category;
- the vertices which constitute the vertex array [X 2 , X 4 , X 6 ], take the Taiyuan point X 2 of the hand yin and lungs as an example, and again according to the sputum relationship of the sputum, choose the Taibai point X 2 X 4 , Xie's Shenmen X 1 , the multiplying Tai Chong X 5 and the Xiang Chong Ta Chong X 5 , together with the Taiyuan X 2 a total of five acupoint measurements [X 2 , X 4 , X 1 , X 5 , X 5 ], the product of the measured values of the five acupoints is taken as the observation index B 1 ;
- Step 4 The test object collects the bioelectric signal measurement data according to the 6 acupoints of step 1, and obtains the acupoint measurement data matrix X.
- one of the upper, middle or lower focus points is selected as the apex, respectively.
- the three vertices form an array of vertices, and for each vertice, four acupoints which are in phase, phase, multiplication and phase relationship with the vertices are further selected among the six acupoints, and a total of five acupoint measurements are obtained together with the apex.
- the product of the five acupoint measurement values is used as an eigenvalue, and the calculated three eigenvalues constitute an array of eigenvalues, and the eigenvalue array of the measurement data is further determined by a discriminant analysis algorithm to determine the class attribution of the measurement data, which is further Diagnostics provide a reference.
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Abstract
一种人体经络穴位生物电信号测量数据的三维分析方法,采集人体上下肢原穴穴位的生物电信号测量数据,依照中医医学基础理论,原穴穴位可以反映脏或腑的病理变化趋势。该方法依照六经辩证、《素问.灵兰秘典论》中关于三焦理论的原理,对样本数据进行分类时,依照三焦空间分别选取穴位,及将与该穴位呈生克乘侮的穴位的测量数据的乘积作为观测指标,其所分的类别能将人体经络穴位生物电信号测量数据与经络、脏腑的病理变化对应起来,表达了经络、脏腑的病理变化趋势,为进一步的诊断提供量化数据参考,便于医生得出正确的诊断结果。
Description
本发明涉及一种人体经络穴位生物电信号测量数据的三维分析方法。
《黄帝内经》分《灵枢》、《素问》两部分,是中国最早的医学典籍,《黄帝内经》在理论上建立了中医学上的阴阳五行学说,并指出经络能控制人体生命活动,是人体生命信息的传递和反馈的网络系统。特别是《素问.灵兰秘典论》:'三焦者,决渎之官,水道出焉。'分上焦、中焦、下焦。从部位而言,上焦一般指胸膈以上部位,包括心、肺在内;中焦指膈以下、脐以上部位,包括脾、胃等脏腑;下焦指脐以下部位,包括肾、膀胱、小肠、大肠(以病理生理言,还包括部位较高的肝,故下焦往往肝肾并提)。
人体共有十二正经、奇经八脉。中医经络理论中的人体经络和穴位的存在已经得到现代科学测试手段的验证,证实了人体经络线是类似半导体一样,随温度的升高而增加导电性的非常狭窄的一条具有导电、导声、导磁和导热功能的通道,但又无特定解剖学形态的串通于细胞之间的隐态的传导经线。
基于生物电导传感器的经络测量仪器已经取得良好的数据一致性、稳定性和可重复操作性。近年来,国内外设计了大量的各种穴位诊断仪器和分析系统,试图采用测定穴位的电位、电阻或者温度来进行疾病诊断。由于中医的思维模式有别于西方科学的量化模式,有效地分析处理人体经络穴位生物电信号测量数据仍然是一项困难的工作。解释人体经络表现需要将天人合一、普遍联系、多维动态、阴阳对立统一、五行生克乘侮制化的中医辩证思维方式应用于计算机的自动化处理中,对测量数据进行三维空间之表里、上下、左右、寒热虚实、阴阳五行、气血脏腑、因果转归、正气病邪等多方面的综合判读。简易的单经络静态量化处理思路容易将结论导向片面,难以得出正确的诊断结果,需要建立一种更加有效的经络测量数据的分析模型。
本发明的目的在于提供一种人体经络穴位生物电信号测量数据的三维分析方法,基于六经辩证和三焦分类的原理,将人体经络穴位生物电信号测量数据与经络、脏腑生克乘侮的病理变化对应起来,为进一步的诊断提供数据参考。
本发明一种人体经络穴位生物电信号测量数据的三维分析方法,包括如下几个步骤:
步骤1、通过中医经络阻抗信息采集仪采集位于左侧或者右侧手足六个穴位的人体经络穴位生物电信号,该穴位包括:手太阴肺经的太渊穴、手少阴心经的神门穴、足阳明胃经的冲阳穴、足太阴脾经的太白穴、足厥阴肝经的太冲穴、足少阴肾经的太溪穴;
步骤2、根据六经辩证和三焦分类的原理将上述穴位分为上焦穴位:手少阴心经的神门穴X1和手太阴肺经的太渊穴X2;中焦穴位:手足阳明胃经的冲阳穴X3和足太阴脾经的太白穴X4;下焦穴位:足厥阴肝经的太冲穴X5和足少阴肾经的太溪穴X6,针对每个穴位采集的生物电信号测量数据xi构成穴位测量数据矩阵X,其中i=1、…、6;
步骤3、对已知病症的样本对象根据步骤1的6个穴位采集生物电信号测量数据作为样本数据,在上、中或下焦穴位中分别任选一个穴位作为顶点,选出的三个顶点构成顶点数组,分别针对每个顶点进一步在6个穴位中选取与该顶点呈相生、相克、相乘和相侮关系的四个穴位,连同该顶点共五个穴位测量值,将该五个穴位测量值的乘积作为观测指标,计算得到的三个观测指标构成观测指标数组,通过聚类分析算法将样本对象的观测指标数组进行分类,对分出的各类别依照样本对象的病症结合专业知识和分析目的进行定义解释,即对各类别进行特征描述;
步骤4、对测试对象根据步骤1的6个穴位采集生物电信号测量数据,得到穴位测量数据矩阵X,按照步骤2的做法,在上、中或下焦穴位中分别任选一个穴位作为顶点,选出的三个顶点构成顶点数组,分别针对每个顶点进一步在6个穴位中选取与该顶点呈相生、相克、相乘和相侮关系的四个穴位,连同该顶点共五个穴位测量值,将该五个穴位测量值的乘积作为特征值,计算得到的三个特征值构成特征值数组,对该测量数据的特征值数组进一步通过判别分析算法,判断该测量数据的类别归属,为进一步的诊断提供参考。
由于本发明采集的是人体上下肢原穴穴位的生物电信号测量数据,依照中医医学基础理论,原穴穴位可以反映脏或腑的病理变化趋势;本发明依照六经辩证、《素问.灵兰秘典论》中关于三焦理论的原理,对样本数据进行分类时,依照三焦空间分别选取穴位,及将与该穴位呈生克乘侮的穴位的测量数据的乘积作为观测指标,其所分的类别能将人体经络穴位生物电信号测量数据与经络、脏腑的病理变化对应起来,表达了经络、脏腑的病理变化趋势,为进一步的诊断提供量化数据参考,便于医生得出正确的诊断结果。
本发明一种人体经络穴位生物电信号测量数据的三维分析方法,包括如下几个步骤:
步骤1、通过中医经络阻抗信息采集仪采集位于左侧或者右侧手足六个穴位的人体经络穴位生物电信号,该穴位包括:手太阴肺经的太渊穴、手少阴心经的神门穴、足阳明胃经的冲阳穴、足太阴脾经的太白穴、足厥阴肝经的太冲穴、足少阴肾经的太溪穴;
步骤2、根据六经辩证和三焦分类的原理将上述穴位分为上焦穴位:手少阴心经的神门穴X1和手太阴肺经的太渊穴X2;中焦穴位:手足阳明胃经的冲阳穴X3和足太阴脾经的太白穴X4;下焦穴位:足厥阴肝经的太冲穴X5和足少阴肾经的太溪穴X6,针对每个穴位采集的生物电信号测量数据xi构成穴位测量数据矩阵X,其中i=1、…、6;
步骤3、对已知病症的样本对象根据步骤1的6个穴位采集生物电信号测量数据作为样本数据,在上、中或下焦穴位中分别任选一个穴位作为顶点,构成顶点数组[A1、A2、A3],进一步在6个穴位中选取与该顶点Ai呈相生、相克、相乘和相侮关系的四个穴位,连同该顶点Ai共五个穴位测量值,将该五个穴位测量值的乘积作为观测指标Bi,i=1、2、3,构成观测指标数组[B1、B2、B3],通过聚类分析算法将样本对象的观测指标数组进行分类,对分出的各类别依照样本对象的病症结合专业知识和分析目的进行定义解释,即对各类别进行特征描述;
实施例:上焦穴位中选择手太阴肺经的太渊穴X2、中焦穴位中选择足太阴脾经的太白穴X4、下焦穴位中选择足少阴肾经的太溪穴X6作为顶点,构成顶点数组[X2、X4、X6],以手太阴肺经的太渊穴X2为例,再次依照脏腑的生克乘侮关系,选择与太渊穴X2相生的太白穴X4、相克的神门穴X1、相乘的太冲穴X5和相侮的太冲穴X5,连同太渊穴X2一共五个穴位测量值[X2、X4、X1、X5、X5],将该五个穴位测量值的乘积作为观测指标B1;
步骤4、对测试对象根据步骤1的6个穴位采集生物电信号测量数据,得到穴位测量数据矩阵X,按照步骤2的做法,在上、中或下焦穴位中分别任选一个穴位作为顶点,选出的三个顶点构成顶点数组,分别针对每个顶点进一步在6个穴位中选取与该顶点呈相生、相克、相乘和相侮关系的四个穴位,连同该顶点共五个穴位测量值,将该五个穴位测量值的乘积作为特征值,计算得到的三个特征值构成特征值数组,对该测量数据的特征值数组进一步通过判别分析算法,判断该测量数据的类别归属,为进一步的诊断提供参考。
以上所述,并非对本发明的技术范围作任何限制,故凡是依据本发明的技术实质对以上实施例所作的任何细微修改、等同变化与修饰,均仍属于本发明技术方案的范围内。
Claims (1)
1、一种人体经络穴位生物电信号测量数据的三维分析方法,包括如下几个步骤:
步骤1、通过中医经络阻抗信息采集仪采集位于左侧或者右侧手足六个穴位的人体经络穴位生物电信号,该穴位包括:手太阴肺经的太渊穴、手少阴心经的神门穴、足阳明胃经的冲阳穴、足太阴脾经的太白穴、足厥阴肝经的太冲穴、足少阴肾经的太溪穴;
步骤2、根据六经辩证和三焦分类的原理将上述穴位分为上焦穴位:手少阴心经的神门穴X1和手太阴肺经的太渊穴X2;中焦穴位:手足阳明胃经的冲阳穴X3和足太阴脾经的太白穴X4;下焦穴位:足厥阴肝经的太冲穴X5和足少阴肾经的太溪穴X6,针对每个穴位采集的生物电信号测量数据xi构成穴位测量数据矩阵X,其中i=1、…、6;
步骤3、对已知病症的样本对象根据步骤1的6个穴位采集生物电信号测量数据作为样本数据,在上、中或下焦穴位中分别任选一个穴位作为顶点,选出的三个顶点构成顶点数组,分别针对每个顶点进一步在6个穴位中选取与该顶点呈相生、相克、相乘和相侮关系的四个穴位,连同该顶点共五个穴位测量值,将该五个穴位测量值的乘积作为观测指标,计算得到的三个观测指标构成观测指标数组,通过聚类分析算法将样本对象的观测指标数组进行分类,对分出的各类别依照样本对象的病症结合专业知识和分析目的进行定义解释,即对各类别进行特征描述;
步骤4、对测试对象根据步骤1的6个穴位采集生物电信号测量数据,得到穴位测量数据矩阵X,按照步骤2的做法,在上、中或下焦穴位中分别任选一个穴位作为顶点,选出的三个顶点构成顶点数组,分别针对每个顶点进一步在6个穴位中选取与该顶点呈相生、相克、相乘和相侮关系的四个穴位,连同该顶点共五个穴位测量值,将该五个穴位测量值的乘积作为特征值,计算得到的三个特征值构成特征值数组,对该测量数据的特征值数组进一步通过判别分析算法,判断该测量数据的类别归属,为进一步的诊断提供参考。
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109381188A (zh) * | 2018-10-11 | 2019-02-26 | 燕山大学 | 基于经络能量平衡值的人体系统健康风险预测方法 |
CN110432889A (zh) * | 2019-08-22 | 2019-11-12 | 深圳市问库信息技术有限公司 | 一种电子经络健康状态检测装置 |
CN112862960A (zh) * | 2021-03-26 | 2021-05-28 | 成都智数医联科技有限公司 | 一种基于虚拟人体模型的点穴、画经络方法及系统 |
CN114847888A (zh) * | 2022-07-11 | 2022-08-05 | 慧医谷中医药科技(天津)股份有限公司 | 一种基于大数据的经络检测病理分析方法及系统 |
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CN107961003A (zh) * | 2017-11-16 | 2018-04-27 | 福建金络康健康科技有限公司 | 一种人体经络穴位生物电信号测量数据的分析方法 |
CN109316187A (zh) * | 2018-12-10 | 2019-02-12 | 广东省中医院 | 一种中医健康状态电导经络辨识方法及系统 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1522662A (zh) * | 2003-02-21 | 2004-08-25 | 倪永莉 | 数字式经络分析仪 |
CN1887222A (zh) * | 2005-06-29 | 2007-01-03 | 胡伟祥 | 中医经络健康检测系统 |
TW201306800A (zh) * | 2011-08-09 | 2013-02-16 | zheng-guo Lai | 即時全身經絡檢測系統及其檢測方法 |
RU2013147830A (ru) * | 2013-10-28 | 2015-05-10 | Аджемов Артем Сергеевич | Способ контроля функционального состояния организма пациента |
CN105943019A (zh) * | 2016-05-24 | 2016-09-21 | 厦门英扬电子科技有限公司 | 一种人体经络穴位生物电信号测量数据的三维分析方法 |
-
2016
- 2016-05-24 CN CN201610346237.4A patent/CN105943019A/zh active Pending
- 2016-12-15 WO PCT/CN2016/109988 patent/WO2017202011A1/zh active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1522662A (zh) * | 2003-02-21 | 2004-08-25 | 倪永莉 | 数字式经络分析仪 |
CN1887222A (zh) * | 2005-06-29 | 2007-01-03 | 胡伟祥 | 中医经络健康检测系统 |
TW201306800A (zh) * | 2011-08-09 | 2013-02-16 | zheng-guo Lai | 即時全身經絡檢測系統及其檢測方法 |
RU2013147830A (ru) * | 2013-10-28 | 2015-05-10 | Аджемов Артем Сергеевич | Способ контроля функционального состояния организма пациента |
CN105943019A (zh) * | 2016-05-24 | 2016-09-21 | 厦门英扬电子科技有限公司 | 一种人体经络穴位生物电信号测量数据的三维分析方法 |
Non-Patent Citations (1)
Title |
---|
CHEN, XIAOGUO. ET AL.: "A Medical Treatment Diagnostic Model Based on Fuzzy Theory", MATHEMATICS IN PRACTICE AND THEORY, vol. 39, no. 13, 15 July 2009 (2009-07-15), ISSN: 1000-0984 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109381188A (zh) * | 2018-10-11 | 2019-02-26 | 燕山大学 | 基于经络能量平衡值的人体系统健康风险预测方法 |
CN109381188B (zh) * | 2018-10-11 | 2022-11-25 | 燕山大学 | 基于经络能量平衡值的人体系统健康风险预测方法 |
CN110432889A (zh) * | 2019-08-22 | 2019-11-12 | 深圳市问库信息技术有限公司 | 一种电子经络健康状态检测装置 |
CN110432889B (zh) * | 2019-08-22 | 2022-02-01 | 深圳市问库信息技术有限公司 | 一种电子经络健康状态检测装置 |
CN112862960A (zh) * | 2021-03-26 | 2021-05-28 | 成都智数医联科技有限公司 | 一种基于虚拟人体模型的点穴、画经络方法及系统 |
CN114847888A (zh) * | 2022-07-11 | 2022-08-05 | 慧医谷中医药科技(天津)股份有限公司 | 一种基于大数据的经络检测病理分析方法及系统 |
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