CN106503302B - A kind of method and device for establishing blood electromagnetic simulation model - Google Patents

A kind of method and device for establishing blood electromagnetic simulation model Download PDF

Info

Publication number
CN106503302B
CN106503302B CN201610862038.9A CN201610862038A CN106503302B CN 106503302 B CN106503302 B CN 106503302B CN 201610862038 A CN201610862038 A CN 201610862038A CN 106503302 B CN106503302 B CN 106503302B
Authority
CN
China
Prior art keywords
blood
simulation model
electromagnetic simulation
layer
lipid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610862038.9A
Other languages
Chinese (zh)
Other versions
CN106503302A (en
Inventor
李景振
聂泽东
刘宇航
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Institute of Advanced Technology of CAS
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN201610862038.9A priority Critical patent/CN106503302B/en
Priority to PCT/CN2016/103033 priority patent/WO2018058720A1/en
Publication of CN106503302A publication Critical patent/CN106503302A/en
Application granted granted Critical
Publication of CN106503302B publication Critical patent/CN106503302B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Abstract

The present invention relates to lipids detection technical field, in particular to a kind of method and device for establishing blood electromagnetic simulation model.The method for establishing blood electromagnetic simulation model includes: step a: establishing blood electromagnetic simulation model;Step b: according to the volume of blood in the concentration of blood lipid and blood electromagnetic simulation model, the number of blood lipid particle in blood electromagnetic simulation model is calculated;Blood lipid particle: being randomly dispersed in blood electromagnetic simulation model by step c according to calculated result, and by the number of control blood lipid particle, establishes the variable blood electromagnetic simulation model of serum lipid concentrations.The present invention can be used for analyzing the interaction mechanism of blood lipid and electromagnetic wave, obtains the electromagnetic response characteristic under different serum lipid concentrations, provides important theory support for the development of noninvasive lipids detection technology.Meanwhile the present invention also has many advantages, such as that use cost is low, simulation accuracy is high.

Description

A kind of method and device for establishing blood electromagnetic simulation model
Technical field
The present invention relates to lipids detection technical field, in particular to a kind of method for establishing blood electromagnetic simulation model and dress It sets.
Background technique
Blood lipid is neutral fat (triglycerides and cholesterol) and lipoid (phosphatide, glycolipid, sterol, steroids) in blood General name, be widely present in human body.They are the basic metabolism necessary materials of life cells.Dyslipidemia person is often with more Kind of cardiovascular risk factors result even in some diseases for seriously endangering human healths, as atherosclerosis, coronary heart disease, Pancreatitis etc..In order to improve health of people living standard, detection is carried out to blood lipid and is very important.
Noninvasive lipids detection method is a kind of reflection using electromagnetic wave, transmission the method that obtains the serum lipid concentrations of patient, There is no need to acquire the blood of patient, with noninvasive, easy, quick etc. advantage.Establishing lipids detection model is that research is noninvasive The premise of lipids detection technology.Currently, in terms of blood lipid Modeling Research, researcher mainly use experiment statistics method to blood lipid into Row modeling, i.e., by Animal Experimental Study under different feeding mode its Blood Lipid situation, thus establish hyperlipemia etc. doctor Learn model.For example, Chinese patent CN103299950A discloses a kind of machin hyperlipemia and Atherosclerosis Model Method for building up, this method complete high blood according to the changes of biochemical indexes of machin mainly by feeding high lipid food to machin The foundation of rouge disease model.Another Chinese patent CN102907357A discloses a kind of building side of zebra fish hyperlipemia model Method, this method make zebra fish histochemical stain or fluorescent staining, and obtain related figure by feeding zebra fish using yolk powder Picture is analyzed and is counted to image/microwell plate, and the hyperlipemia model of zebra fish is finally established.
However, the medical models such as hyperlipemia that the above-mentioned method using experiment statistics is established are only applicable to research blood lipid Changing rule, it is impossible to be used in the interaction mechanism of analysis blood lipid and electromagnetic wave, therefore can not be noninvasive lipids detection technology Theory support is provided.
Summary of the invention
The present invention provides a kind of method and devices for establishing blood electromagnetic simulation model, it is intended at least to a certain extent Solve one of above-mentioned technical problem in the prior art.
To solve the above-mentioned problems, the present invention provides the following technical scheme that
A method of establishing blood electromagnetic simulation model, comprising:
Step a: blood electromagnetic simulation model is established;
Step b: according to the volume of blood in the concentration of blood lipid and blood electromagnetic simulation model, blood Electromagnetic Simulation mould is calculated The number of blood lipid particle in type;
Blood lipid particle: being randomly dispersed in blood electromagnetic simulation model by step c according to calculated result, and passes through control blood The number of fat granule establishes the variable blood electromagnetic simulation model of serum lipid concentrations.
The technical solution that the embodiment of the present invention is taken further include: before the step a further include: determine blood Electromagnetic Simulation mould The overall structure of type;The overall structure of the blood electromagnetic simulation model is cylindrical body, and the blood electromagnetic simulation model includes Vascular lamina, blood layer and blood lipid particle layer, the distributing position of the vascular lamina, blood layer and blood lipid particle layer are respectively as follows: blood vessel Layer is located at outermost layer, and the length of vascular lamina is h, and the internal diameter of vascular lamina is d, outer diameter D, vascular lamina with a thickness of r12=(D-d)/ 2;Blood layer is located in vascular lamina, and the radius of blood layer is r=d/2;Blood lipid particle layer is distributed in blood layer.
The technical solution that the embodiment of the present invention is taken further include: in the step b, in the blood electromagnetic simulation model Blood lipid population purpose calculation formula are as follows:
In above-mentioned formula, n is the number of blood lipid particle, and N is the number of neutral fat molecule and lipoid molecule, and ρ is blood lipid Concentration, V are blood volume, M=ρ × V/1000, NA=6.02 × 1023, V=1000 × π (d/2)2×h。
The technical solution that the embodiment of the present invention is taken further include: described to establish what serum lipid concentrations can be changed in the step c Blood electromagnetic simulation model specifically includes:
Step c1: n random numbers equally distributed between (- 1,1) are generated
Step c2: according to the central-limit theorem of probability theory, generating the random value of a Normal Distribution N (μ, σ), Generate the formula of random value are as follows:
In above-mentioned formula,For uniform random number, μ is the desired value of normal distribution random number, and σ is normal distribution The mean square deviation of random number, n are the numbers of uniform random number needed for generating normal distribution random number;
Step c3: blood lipid particle each in blood electromagnetic simulation model is determined according to the formula of above-mentioned generation random value The variable blood electromagnetic simulation model of serum lipid concentrations is established in position.
The technical solution that the embodiment of the present invention is taken further include: after the step c further include: utilize triple debye- Drude model is fitted the electromagnetic parameter of blood layer and vascular lamina in blood electromagnetic simulation model, and fitting result is led Enter in blood electromagnetic simulation model, numerical value calculating is carried out to blood electromagnetic simulation model.
A kind of another technical solution that the embodiment of the present invention is taken are as follows: device for establishing blood electromagnetic simulation model, comprising:
First model building module: for establishing blood electromagnetic simulation model;
Blood lipid number of particles computing module: the body for blood in the concentration and blood electromagnetic simulation model according to blood lipid Product calculates the number of blood lipid particle in blood electromagnetic simulation model;
Second model building module: for blood lipid particle to be randomly dispersed in blood electromagnetic simulation model according to calculated result In, and by the number of control blood lipid particle, establish the variable blood electromagnetic simulation model of serum lipid concentrations.
The technical solution that the embodiment of the present invention is taken further includes structural calculation module, and the structural calculation module is for determining The overall structure of blood electromagnetic simulation model;The overall structure of the blood electromagnetic simulation model is cylindrical body, the blood electricity Magnetic simulation model includes vascular lamina, blood layer and blood lipid particle layer, the distribution position of the vascular lamina, blood layer and blood lipid particle layer It sets and is respectively as follows: vascular lamina and is located at outermost layer, the length of vascular lamina is h, and the internal diameter of vascular lamina is d, outer diameter D, the thickness of vascular lamina Degree is r12=(D-d)/2;Blood layer is located in vascular lamina, and the radius of blood layer is r=d/2;Blood lipid particle layer is distributed in blood In layer.
The technical solution that the embodiment of the present invention is taken further include: the blood lipid number of particles computing module calculates blood electromagnetism Blood lipid population purpose formula in simulation model are as follows:
In above-mentioned formula, n is the number of blood lipid particle, and N is the number of neutral fat molecule and lipoid molecule, and ρ is blood lipid Concentration, V are blood volume, M=ρ × V/1000, NA=6.02 × 1023, V=1000 × π (d/2)2×h。
The technical solution that the embodiment of the present invention is taken further include: it is variable that second model building module establishes serum lipid concentrations The mode of blood electromagnetic simulation model include: to generate n random numbers equally distributed between (- 1,1); According to the central-limit theorem of probability theory, the random value of a Normal Distribution N (μ, σ) is generated, the public affairs of random value are generated Formula are as follows:
The position that blood lipid particle each in blood electromagnetic simulation model is determined according to the formula of above-mentioned generation random value, builds The variable blood electromagnetic simulation model of vertical serum lipid concentrations;In above-mentioned formula,For uniform random number, μ is normal distribution The desired value of random number, σ are the mean square deviations of normal distribution random number, and n is uniformly distributed needed for generating normal distribution random number The number of random number.
The technical solution that the embodiment of the present invention is taken further includes parameter calculating module, and the parameter calculating module is for utilizing Triple debye-drude models are fitted the electromagnetic parameter of blood layer and vascular lamina in blood electromagnetic simulation model, and will Fitting result imports in blood electromagnetic simulation model, carries out numerical value calculating to blood electromagnetic simulation model.
Compared with the existing technology, the beneficial effect that the embodiment of the present invention generates is: the embodiment of the present invention establishes blood The method and device of electromagnetic simulation model is in modeling process, according to blood body in the concentration of blood lipid and blood electromagnetic simulation model Long-pending size calculates the number of blood lipid particle in blood electromagnetic simulation model, by controlling the number of blood lipid particle, to establish The variable blood electromagnetic simulation model of serum lipid concentrations;And using triple debye-drude models in blood electromagnetic simulation model The electromagnetic parameter of different tissues layer is fitted, to set its electromagnetic parameter.The blood Electromagnetic Simulation established through the invention Model can be used for analyzing the interaction mechanism of blood lipid and electromagnetic wave, and the electromagnetic response obtained under different serum lipid concentrations is special Property, important theory support is provided for the development of noninvasive lipids detection technology.Meanwhile the present invention also has use cost low, imitative The advantages that very precision is high.
Detailed description of the invention
Fig. 1 is the flow chart of the method for establishing blood electromagnetic simulation model of the embodiment of the present invention;
Fig. 2 is the overall structure diagram of the blood electromagnetic simulation model of the embodiment of the present invention;
Fig. 3 is the blood electromagnetic simulation model for the different serum lipid concentrations established using blood lipid particle;
Fig. 4 is the structural schematic diagram of the device for establishing blood electromagnetic simulation model of the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not For limiting the present invention.
Referring to Fig. 1, being the flow chart of the method for establishing blood electromagnetic simulation model of the embodiment of the present invention.The present invention is real Apply the method for establishing blood electromagnetic simulation model of example the following steps are included:
Step 100: determining the overall structure of blood electromagnetic simulation model;
In step 100, the integrally-built method of determination of blood electromagnetic simulation model includes:
Step 110: according to human anatomy principle, studying blood vessel and blood in the distribution situation of human body, to blood vessel and blood Liquid carries out abstract processing, determines the overall structure of blood electromagnetic simulation model;
In step 110, blood electromagnetic simulation model includes three vascular lamina, blood layer and blood lipid particle layer parts;This In inventive embodiments, the overall structure of the blood electromagnetic simulation model is cylindrical body.Specifically as shown in Fig. 2, implementing for the present invention The overall structure diagram of the blood electromagnetic simulation model of example.In other embodiments of the present invention, blood electromagnetic simulation model Overall structure can also be other shapes.
Step 120: determining the distribution position of vascular lamina, blood layer and blood lipid particle layer in blood electromagnetic simulation model respectively It sets;
In the step 120, the distributing position of vascular lamina, blood layer and blood lipid particle layer in blood electromagnetic simulation model point Not are as follows: vascular lamina is located at outermost layer, and the length of vascular lamina is h, and the internal diameter of vascular lamina is d, outer diameter D, therefore vascular lamina With a thickness of r12=(D-d)/2.Blood layer is located in vascular lamina, therefore the radius of blood layer is r=d/2.Blood lipid particle layer then divides Cloth is in blood layer.
Step 200: blood vessel Electromagnetic Simulation mould is established according to the distributing position of vascular lamina, blood layer and blood lipid particle layer respectively Type, blood electromagnetic simulation model and blood lipid particle electromagnetic simulation model;
In step 200, blood vessel electromagnetic simulation model, blood electromagnetic simulation model and blood lipid particle electromagnetic simulation model Establish mode respectively include:
Step 210: establish blood vessel electromagnetic simulation model: using origin as the center of circle, establish length be h, radius be respectively d/2 and The two cylindrical bodies are carried out additive operation by the cylindrical body of D/2, so that an inner hollow is obtained, with a thickness of r12=(D-d)/2 Blood vessel electromagnetic simulation model;
Step 220: establish blood electromagnetic simulation model: using origin as the center of circle, establishing length is h, and radius is the cylinder of d/2 Body, the cylindrical body are blood electromagnetic simulation model;
Step 230: establishing blood lipid particle electromagnetic simulation model;
In step 230, since mainly by neutral fat molecule, (triglycerides and gallbladder are solid for the blood lipid in blood of human body Alcohol) and lipoid molecule (phosphatide, glycolipid, sterol, steroids) composition, and the mean radius one of neutral fat molecule and lipoid molecule As be only 50nm.If establishing blood electromagnetic simulation model according to this size, and Electromagnetic Simulation is carried out with this size, then needed net Lattice division is very fine, causes calculation amount very huge.In order to reduce calculation amount, accelerate simulation velocity, while not influencing to imitate again True precision, the embodiment of the present invention in modeling process, by blood neutral fat molecule and lipoid molecule be equivalent to iipomicron Son, Equivalent calculation method are as follows:
It being calculated to simplify, it is assumed that the shape of neutral fat molecule and lipoid molecule in blood of human body is sphere, and Size is the same, radius rr, in electromagnetic simulation model, the shape for the blood lipid particle electromagnetic simulation model that will be established It is set as sphere, radius Rr, then have
In formula (1), N is the number of neutral fat molecule and lipoid molecule.Due to neutral fat molecule and lipoid point The radius of son is generally 50nm, i.e. rr=50nm is set as in blood electromagnetic simulation model when by the radius of blood lipid particle 0.5mm, i.e. RrN=1 × 10 can be calculated according to formula (1) in=0.5mm12, i.e., in modeling process, by every 1 × 1012It is a Blood lipid molecule is equivalent to the blood lipid particle that a diameter is about 0.5mm, to greatly reduce simulation calculation amount.
Step 300: according to the size of blood volume in the concentration of blood lipid and blood electromagnetic simulation model, calculating blood electromagnetism The number of blood lipid particle in simulation model;
In step 300, blood lipid population purpose calculation method specifically includes:
Step 310: calculating the volume of blood in blood electromagnetic simulation model: since blood electromagnetic simulation model is cylinder Body, volume may be expressed as: V=1000 × π (d/2)2× h, wherein V is the volume of cylindrical body, and unit L, d/2 are cylindrical body Radius, h is the length of cylindrical body, and the unit of d/2 and h are m.
Step 320: assuming that the mean concentration of blood lipid is ρ, unit mmol/L, when the volume of blood is V=1000 × π (d/2)2The amount of × h, the substance of blood lipid molecule (i.e. neutral fat molecule and lipoid molecule) are then M=ρ × V/1000, wherein M Unit be mol.
Step 330: according to Avgadro constant it is found that the substance of every 1mol contains 6.02 × 1023A molecule, i.e. NA= 6.02×1023, therefore, when serum lipid concentrations are ρ, and blood volume is V, the number of blood lipid particle is in blood electromagnetic simulation model
According to formula (2), the iipomicron in blood electromagnetic simulation model corresponding when different serum lipid concentrations can be calculated The number of son.It therefore, can be by the number n of change blood lipid particle, to establish serum lipid concentrations in blood electromagnetic simulation model Variable blood electromagnetic simulation model.
Step 400: blood lipid particle being pressed by normal state random distribution principle according to calculated result, it is imitative to be randomly dispersed in blood electromagnetism In true mode, and by the number of control blood lipid particle, the variable blood electromagnetic simulation model of serum lipid concentrations is established;
In step 400, the concrete mode for establishing the variable blood electromagnetic simulation model of serum lipid concentrations includes:
Step 410: generating n random numbers equally distributed between (- 1,1)
Step 420: according to the central-limit theorem in probability theory, generating a Normal Distribution N by formula (3) The random value of (μ, σ):
In formula (3),For uniform random number, μ is the desired value of normal distribution random number, and σ is normal distribution The mean square deviation of random number, n are the numbers of uniform random number needed for generating normal distribution random number.
Step 430: determining the position of blood lipid particle each in blood electromagnetic simulation model according to formula (3), finally build The variable blood electromagnetic simulation model of vertical serum lipid concentrations, as shown in figure 3, being the different serum lipid concentrations established using blood lipid particle Blood electromagnetic simulation model.
Step 500: using triple debye-drude models to different tissues layer (blood, blood in blood electromagnetic simulation model Pipe) electromagnetic parameter be fitted, and by fitting result import blood electromagnetic simulation model in, to blood electromagnetic simulation model into Line number value calculates;
In step 500, after establishing blood electromagnetic simulation model, also need in the model blood layer and vascular lamina setting Electromagnetic parameter, electromagnetic parameter include dielectric constant and conductivity.Since blood and blood vessel belong to dispersive medium, dielectric constant It can change with frequency with conductivity.During Electromagnetic Simulation, traditional Cole-Cole model may be only available for single The emulation of frequency, it is helpless in broadband.Therefore, the embodiment of the present invention is using debye-drude model come to blood layer It is fitted with the dielectric constant and conductivity of vascular lamina, relevant parameter is imported into corresponding organized layer again after fitting In.Electromagnetic parameter fit approach specifically includes:
Step 510: obtaining the real part of the complex dielectric permittivity of blood layer and vascular lamina respectively by quadruple Cole-Cole model Value and imaginary values;
In step 510, the blood quadruple Cole-Cole model that the embodiment of the present invention utilizes REMCOM company to provide, such as Shown in formula (4), calculating find out in 10Hz-20GHz band limits the value of real part of the complex dielectric permittivity of blood layer and vascular lamina with Imaginary values, it is dielectric constant that wherein value of real part is corresponding, and corresponding imaginary values are conductivity, and value of real part and imaginary values are distinguished Origin software is imported as input value.
Step 520: triple debye-drude models are established, using triple debye-drude models to acquired blood The value of real part of the complex dielectric permittivity of layer and vascular lamina is fitted respectively with imaginary values;Fitting formula is as follows:
Step 530: determining the parameter that blood layer and vascular lamina need to be fitted in triple debye-drude models;To triple Debye-drude model carries out rational expression decomposition, calculates separately real part (ε '), the corresponding multinomial of imaginary part (ε "), calculation formula It is as follows:
Determine that needing the parameter being fitted includes: ε=a, Δ ε1=b, τ1=c, Δ ε2=d, τ2=e, Δ ε3=g, τ3=h, σi=k;
Step 540: corresponding nonlinear curve y1, y2 are established in Origin software,
Y1=ε ' (8)
Y2=ε " (9)
Wherein,
Y1=a+b/ (1+ (2 × 3.1415926 × f × c) ^2)+d/ (1+ (2*3.1415926*f*e) ^2)+
g/(1+(2×3.1415926×f×h)^2) (10)
Y2=(b × 2 × 3.1415926 × f × c)/(1+ (2 × 3.1415926 × f × c) ^2)+(d × 2 × 3.1415926×f×e)/(1+(2×3.1415926×f×e)^2)+
(g×2×3.1415926×f×h)/(1+(2×3.1415926×f×h)^2)+k/(2×3.1415926×f ×8.85418×pow(10,-12)) (11)
Step 550: iteration being assigned to a, b, c, d, e, g, h, k parameter respectively using the initial value in Cole-Cole model and is intended The initial value of conjunction carries out parameter fitting using Origin software;
Step 560: the parametric fitting results of blood layer and vascular lamina are substituted into the triple pole models of Debye-Drude respectively In, then error analysis is carried out using parametric fitting results of the Origin software to blood layer and vascular lamina;
Step 570: the parametric fitting results of blood layer and vascular lamina being imported in blood electromagnetic simulation model, to blood electricity Magnetic simulation model carries out numerical value calculating.
Referring to Fig. 4, being the structural schematic diagram of the device for establishing blood electromagnetic simulation model of the embodiment of the present invention.This hair The device for establishing blood electromagnetic simulation model of bright embodiment includes structural calculation module, the first model building module, iipomicron Subnumber mesh computing module, the second model building module and parameter calculating module.
Structural calculation module: for determining the overall structure of blood electromagnetic simulation model according to human anatomy principle;Its In, the integrally-built method of determination of blood electromagnetic simulation model specifically: firstly, studying blood vessel according to human anatomy principle With blood in the distribution situation of human body, abstract processing is carried out to blood vessel and blood, determines the entirety of blood electromagnetic simulation model Structure, wherein blood electromagnetic simulation model includes three blood vessel, blood and blood lipid particle parts.Then, respectively determine blood vessel, The distributing position of blood and blood lipid particle in blood electromagnetic simulation model;Wherein, blood vessel, blood and blood lipid particle are in blood electricity Distributing position in magnetic simulation model is respectively as follows: blood vessel and is located at outermost layer, and the length of blood vessel is h, and the internal diameter of blood vessel is d, outside Diameter is D, thus blood vessel with a thickness of r12=(D-d)/2.Blood is located in blood vessel, therefore the radius of blood is r=d/2.Blood lipid Particle is then distributed in blood.
First model building module: for establishing blood vessel electricity respectively according to the distributing position of blood vessel, blood and blood lipid particle Magnetic simulation model, blood electromagnetic simulation model and blood lipid particle electromagnetic simulation model;Specifically, the first model building module includes Vascular pattern establishes unit, Blood Model establishes unit and blood lipid particle model establishes unit;
Vascular pattern establishes unit: for establishing blood vessel electromagnetic simulation model: using origin as the center of circle, establishing length is h, partly Diameter is respectively the cylindrical body of d/2 and D/2, the two cylindrical bodies are carried out additive operation, to obtain an inner hollow, thickness For r12The blood vessel electromagnetic simulation model of=(D-d)/2;
Blood Model establishes unit: for establishing blood electromagnetic simulation model: using origin as the center of circle, establishing length is h, partly Diameter is the cylindrical body of d/2, which is blood electromagnetic simulation model;
Blood lipid particle model establishes unit: for establishing blood lipid particle electromagnetic simulation model: due to the blood in blood of human body Rouge is mainly by neutral fat molecule and lipoid molecular composition, and the mean radius of neutral fat molecule and lipoid molecule is generally only For 50nm.If establishing blood electromagnetic simulation model according to this size, and Electromagnetic Simulation is carried out with this size, then needs to draw grid It is point very fine, cause calculation amount very huge.In order to reduce calculation amount, accelerate simulation velocity, while not influencing emulation essence again Degree, the embodiment of the present invention in modeling process, by blood neutral fat molecule and lipoid molecule be equivalent to blood lipid particle, etc. It is as follows to imitate calculation method:
It being calculated to simplify, it is assumed that the shape of neutral fat molecule and lipoid molecule in blood of human body is sphere, and Size is the same, radius rr, in electromagnetic simulation model, the shape for the blood lipid particle electromagnetic simulation model that will be established It is set as sphere, radius Rr, then have
In formula (1), N is the number of neutral fat molecule and lipoid molecule.Due to neutral fat molecule and lipoid point The radius of son is generally 50nm, i.e. rr=50nm is set as in blood electromagnetic simulation model when by the radius of blood lipid particle 0.5mm, i.e. RrN=1 × 10 can be calculated according to formula (1) in=0.5mm12, i.e., in modeling process, by every 1 × 1012It is a Blood lipid molecule is equivalent to the blood lipid particle that a diameter is about 0.5mm, to greatly reduce simulation calculation amount.
Blood lipid number of particles computing module: for blood volume in the concentration and blood electromagnetic simulation model according to blood lipid Size calculates the number of blood lipid particle in blood electromagnetic simulation model;Blood lipid number of particles computing module specifically includes blood body Product computing unit, serum lipid concentrations computing unit and blood lipid number of particles computing unit;
Blood volume computing unit: for calculating the volume of blood in blood electromagnetic simulation model: since blood electromagnetism is imitative True mode is cylindrical body, and volume may be expressed as: V=1000 × π (d/2)2× h, wherein V is the volume of cylindrical body, and unit is L, d/2 are the radius of cylindrical body, and h is the length of cylindrical body, and the unit of d/2 and h are m.
Serum lipid concentrations computing unit: for calculating serum lipid concentrations, it is assumed that the mean concentration of blood lipid is ρ, unit mmol/ L, when the volume of blood is V=1000 × π (d/2)2× h, the substance of blood lipid molecule (i.e. neutral fat molecule and lipoid molecule) Amount be then M=ρ × V/1000, wherein the unit of M be mol.
Blood lipid number of particles computing unit: for being calculated in blood electromagnetic simulation model according to blood volume and serum lipid concentrations The number of blood lipid particle;According to Avgadro constant it is found that the substance of every 1mol contains 6.02 × 1023A molecule, i.e. NA= 6.02×1023, therefore, when serum lipid concentrations are ρ, and blood volume is V, the number of blood lipid particle is in blood electromagnetic simulation model
According to formula (2), the iipomicron in blood electromagnetic simulation model corresponding when different serum lipid concentrations can be calculated The number of son.It therefore, can be by the number n of change blood lipid particle, to establish serum lipid concentrations in blood electromagnetic simulation model Variable blood electromagnetic simulation model.
Second model building module: random to divide for blood lipid particle to be pressed normal state random distribution principle according to calculated result It is imitative to establish the variable blood electromagnetism of serum lipid concentrations in blood electromagnetic simulation model, and through the number of control blood lipid particle for cloth True mode;Wherein, the second model building module establishes the concrete mode of the variable blood electromagnetic simulation model of serum lipid concentrations and includes:
1: generating n random numbers equally distributed between (- 1,1)
2: according to the central-limit theorem in probability theory, generating a Normal Distribution N (μ, σ) by formula (3) Random value:
In formula (3),For uniform random number, μ is the desired value of normal distribution random number, and σ is normal distribution The mean square deviation of random number, n are the numbers of uniform random number needed for generating normal distribution random number.
3: determining the position of blood lipid particle each in blood electromagnetic simulation model according to formula (3), finally establish blood lipid The blood electromagnetic simulation model of varying concentrations.
Parameter calculating module: for utilizing triple debye-drude models to different tissues in blood electromagnetic simulation model The electromagnetic parameter of layer (blood, blood vessel) is fitted, and fitting result is imported in blood electromagnetic simulation model, to blood electromagnetism Simulation model carries out numerical value calculating;Wherein, electromagnetic parameter includes dielectric constant and conductivity, since blood and blood vessel belong to color Dispersion media, dielectric constant and conductivity can change with frequency.During Electromagnetic Simulation, traditional Cole-Cole Model may be only available for the emulation of single-frequency, helpless in broadband.Therefore, the embodiment of the present invention uses debye- Drude model come to blood layer and vascular lamina dielectric constant and conductivity be fitted, again by relevant parameter after fitting It imported into corresponding organized layer.Electromagnetic parameter fit approach specifically includes:
1: obtaining the value of real part and void of the complex dielectric permittivity of blood layer and vascular lamina respectively by quadruple Cole-Cole model Portion's value;The blood quadruple Cole-Cole model that the embodiment of the present invention utilizes REMCOM company to provide is calculated as shown in formula (4) The value of real part and imaginary values of the complex dielectric permittivity of blood layer and vascular lamina in 10Hz-20GHz band limits are found out, wherein value of real part Corresponding is dielectric constant, and corresponding imaginary values are conductivity, and value of real part and imaginary values are directed respectively into Origin software and made For input value.
2: triple debye-drude models are established, using triple debye-drude models to acquired blood layer and blood The value of real part of the complex dielectric permittivity of tube layer is fitted respectively with imaginary values;Fitting formula is as follows:
3: determining the parameter that blood layer and vascular lamina need to be fitted in triple debye-drude models;To triple debye- Drude model carries out rational expression decomposition, calculates separately real part (ε '), the corresponding multinomial of imaginary part (ε "), calculation formula is as follows:
Determine that needing the parameter being fitted includes: ε=a, Δ ε1=b, τ1=c, Δ ε2=d, τ2=e, Δ ε3=g, τ3=h, σi=k;
4: corresponding nonlinear curve y1, y2 are established in Origin software,
Y1=ε ' (8)
Y2=ε " (9)
Wherein,
Y1=a+b/ (1+ (2 × 3.1415926 × f × c) ^2)+d/ (1+ (2*3.1415926*f*e) ^2)+
g/(1+(2×3.1415926×f×h)^2) (10)
Y2=(b × 2 × 3.1415926 × f × c)/(1+ (2 × 3.1415926 × f × c) ^2)+(d × 2 × 3.1415926×f×e)/(1+(2×3.1415926×f×e)^2)+
(g×2×3.1415926×f×h)/(1+(2×3.1415926×f×h)^2)+k/(2×3.1415926×f ×8.85418×pow(10,-12)) (11)
5: the first of iterative fitting is assigned to a, b, c, d, e, g, h, k parameter respectively using the initial value in Cole-Cole model Initial value carries out parameter fitting using Origin software;
6: the parametric fitting results of blood layer and vascular lamina are substituted into respectively in the triple pole models of Debye-Drude, so Error analysis is carried out using parametric fitting results of the Origin software to blood layer and vascular lamina afterwards;
7: the parametric fitting results of blood layer and vascular lamina being imported in blood electromagnetic simulation model, to blood Electromagnetic Simulation Model carries out numerical value calculating.
The method and device for establishing blood electromagnetic simulation model of the embodiment of the present invention is in modeling process, according to blood lipid The size of blood volume in concentration and blood electromagnetic simulation model calculates the number of blood lipid particle in blood electromagnetic simulation model, By controlling the number of blood lipid particle, the variable blood electromagnetic simulation model of serum lipid concentrations is established, and utilize triple debye- Drude model is fitted the electromagnetic parameter of different tissues layer in blood electromagnetic simulation model, to set its electromagnetic parameter. The blood electromagnetic simulation model established through the invention can be used for analyzing the interaction mechanism of blood lipid and electromagnetic wave, obtain not With the electromagnetic response characteristic under serum lipid concentrations, important theory support is provided for the development of noninvasive lipids detection technology.Meanwhile The present invention also has many advantages, such as that use cost is low, simulation accuracy is high.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (8)

1. a kind of method for establishing blood electromagnetic simulation model characterized by comprising
Step a: blood electromagnetic simulation model is established;
Step b: it according to the volume of blood in the concentration of blood lipid and blood electromagnetic simulation model, calculates in blood electromagnetic simulation model The number of blood lipid particle;
Blood lipid particle: being randomly dispersed in blood electromagnetic simulation model by step c according to calculated result, and passes through control iipomicron The number of son establishes the variable blood electromagnetic simulation model of serum lipid concentrations;
Wherein, in the step b, blood lipid population purpose calculation formula in the blood electromagnetic simulation model are as follows:
In above-mentioned formula, l is the number of blood lipid particle, and N is the number of neutral fat molecule and lipoid molecule, NAFor Avobenzene gal moral Sieve constant, and NA=6.02 × 1023, M is the amount of the substance of neutral fat molecule and lipoid molecule, and M=ρ × V/1000, ρ are Serum lipid concentrations, V are blood volume, and V=1000 × π (d/2)2× h, wherein d is the internal diameter of vascular lamina, and h is the length of vascular lamina Degree.
2. the method according to claim 1 for establishing blood electromagnetic simulation model, which is characterized in that before the step a also Comprise determining that the overall structure of blood electromagnetic simulation model;The overall structure of the blood electromagnetic simulation model is cylindrical body, institute Stating blood electromagnetic simulation model includes vascular lamina, blood layer and blood lipid particle layer, the vascular lamina, blood layer and blood lipid particle layer Distributing position be respectively as follows: vascular lamina and be located at outermost layer, the length of vascular lamina is h, and the internal diameter of vascular lamina is d, outer diameter D, blood Tube layer with a thickness of r12=(D-d)/2;Blood layer is located in vascular lamina, and the radius of blood layer is r=d/2;Blood lipid particle layer point Cloth is in blood layer.
3. the method according to claim 1 for establishing blood electromagnetic simulation model, which is characterized in that in the step c, The variable blood electromagnetic simulation model of serum lipid concentrations of establishing specifically includes:
Step c1: n random numbers equally distributed between (- 1,1) are generated
Step c2: according to the central-limit theorem of probability theory, generating the random value of a Normal Distribution N (μ, σ), generates The formula of random value are as follows:
In above-mentioned formula,For uniform random number, μ is the desired value of normal distribution random number, and σ is that normal distribution is random Several mean square deviations, n are the numbers of uniform random number needed for generating normal distribution random number;
Step c3: the position of blood lipid particle each in blood electromagnetic simulation model is determined according to the formula of above-mentioned generation random value It sets, establishes the variable blood electromagnetic simulation model of serum lipid concentrations.
4. the method according to claim 3 for establishing blood electromagnetic simulation model, which is characterized in that after the step c also It include: to be carried out using triple debye-drude models to the electromagnetic parameter of blood layer and vascular lamina in blood electromagnetic simulation model Fitting, and fitting result is imported in blood electromagnetic simulation model, numerical value calculating is carried out to blood electromagnetic simulation model.
5. a kind of device for establishing blood electromagnetic simulation model characterized by comprising
First model building module: for establishing blood electromagnetic simulation model;
Blood lipid number of particles computing module: for the volume of blood in the concentration and blood electromagnetic simulation model according to blood lipid, meter Calculate the number of blood lipid particle in blood electromagnetic simulation model;
Second model building module: for blood lipid particle to be randomly dispersed in blood electromagnetic simulation model according to calculated result, And by the number of control blood lipid particle, the variable blood electromagnetic simulation model of serum lipid concentrations is established;
Wherein, the blood lipid number of particles computing module calculates blood lipid population purpose formula in blood electromagnetic simulation model are as follows:
In above-mentioned formula, l is the number of blood lipid particle, and N is the number of neutral fat molecule and lipoid molecule, NAFor Avobenzene gal moral Sieve constant, and NA=6.02 × 1023, M is the amount of the substance of neutral fat molecule and lipoid molecule, and M=ρ × V/1000, ρ are Serum lipid concentrations, V are blood volume, and V=1000 × π (d/2)2× h, wherein d is the internal diameter of vascular lamina, and h is the length of vascular lamina Degree.
6. the device according to claim 5 for establishing blood electromagnetic simulation model, which is characterized in that further include Structure Calculation Module, the structural calculation module are used to determine the overall structure of blood electromagnetic simulation model;The blood electromagnetic simulation model Overall structure be cylindrical body, the blood electromagnetic simulation model includes vascular lamina, blood layer and blood lipid particle layer, the blood vessel The distributing position of layer, blood layer and blood lipid particle layer is respectively as follows: vascular lamina and is located at outermost layer, and the length of vascular lamina is h, vascular lamina Internal diameter be d, outer diameter D, vascular lamina with a thickness of r12=(D-d)/2;Blood layer is located in vascular lamina, and the radius of blood layer is R=d/2;Blood lipid particle layer is distributed in blood layer.
7. the device according to claim 5 for establishing blood electromagnetic simulation model, which is characterized in that second model is built The mode that formwork erection block establishes the variable blood electromagnetic simulation model of serum lipid concentrations includes: to generate n to be uniformly distributed between (- 1,1) Random numberAccording to the central-limit theorem of probability theory, a Normal Distribution N (μ, σ) is generated Random value generates the formula of random value are as follows:
The position that blood lipid particle each in blood electromagnetic simulation model is determined according to the formula of above-mentioned generation random value, establishes blood The variable blood electromagnetic simulation model of lipid concentration;In above-mentioned formula,For uniform random number, μ is that normal distribution is random Several desired values, σ are the mean square deviations of normal distribution random number, and n is to be uniformly distributed needed for generating normal distribution random number at random Several numbers.
8. the device according to claim 7 for establishing blood electromagnetic simulation model, which is characterized in that further include that parameter calculates Module, the parameter calculating module be used for using triple debye-drude models to blood layer in blood electromagnetic simulation model and The electromagnetic parameter of vascular lamina is fitted, and fitting result is imported in blood electromagnetic simulation model, to blood Electromagnetic Simulation mould Type carries out numerical value calculating.
CN201610862038.9A 2016-09-28 2016-09-28 A kind of method and device for establishing blood electromagnetic simulation model Active CN106503302B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201610862038.9A CN106503302B (en) 2016-09-28 2016-09-28 A kind of method and device for establishing blood electromagnetic simulation model
PCT/CN2016/103033 WO2018058720A1 (en) 2016-09-28 2016-10-24 Method and apparatus for establishing electromagnetic blood simulation model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610862038.9A CN106503302B (en) 2016-09-28 2016-09-28 A kind of method and device for establishing blood electromagnetic simulation model

Publications (2)

Publication Number Publication Date
CN106503302A CN106503302A (en) 2017-03-15
CN106503302B true CN106503302B (en) 2019-08-23

Family

ID=58290050

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610862038.9A Active CN106503302B (en) 2016-09-28 2016-09-28 A kind of method and device for establishing blood electromagnetic simulation model

Country Status (2)

Country Link
CN (1) CN106503302B (en)
WO (1) WO2018058720A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108877445A (en) * 2018-07-19 2018-11-23 天津大学 A method of dividing blood distribution in shape reconstruct ear-lobe model based on DLA
CN110729050A (en) * 2019-09-01 2020-01-24 天津大学 Method for establishing three-dimensional earlobe model for blood sugar detection
CN113536626B (en) * 2021-06-25 2023-05-26 北京航空航天大学 DGTD electromagnetic transient simulation method based on Cole-Cole model

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102525443A (en) * 2010-09-16 2012-07-04 西门子公司 Method and system for non-invasive assessment of coronary artery disease
US8380541B1 (en) * 2011-09-25 2013-02-19 Theranos, Inc. Systems and methods for collecting and transmitting assay results
CN104104450A (en) * 2014-06-20 2014-10-15 中国科学院深圳先进技术研究院 Human body communication channel modeling method based on non-uniform medium and system thereof
CN104720894A (en) * 2015-02-11 2015-06-24 中山大学附属第一医院 Rationality analyzing method for blood vessel operation mode
US9087147B1 (en) * 2014-03-31 2015-07-21 Heartflow, Inc. Systems and methods for determining blood flow characteristics using flow ratio
CN105205211A (en) * 2015-08-20 2015-12-30 电子科技大学 Modeling method for three-dimensional electromagnetic simulation model of surface channel type mixing schottky diode

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6260989B2 (en) * 2013-12-05 2018-01-17 富士通株式会社 Shape data generation apparatus, shape data generation method, and shape data generation program

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102525443A (en) * 2010-09-16 2012-07-04 西门子公司 Method and system for non-invasive assessment of coronary artery disease
US8380541B1 (en) * 2011-09-25 2013-02-19 Theranos, Inc. Systems and methods for collecting and transmitting assay results
US9087147B1 (en) * 2014-03-31 2015-07-21 Heartflow, Inc. Systems and methods for determining blood flow characteristics using flow ratio
CN104104450A (en) * 2014-06-20 2014-10-15 中国科学院深圳先进技术研究院 Human body communication channel modeling method based on non-uniform medium and system thereof
CN104720894A (en) * 2015-02-11 2015-06-24 中山大学附属第一医院 Rationality analyzing method for blood vessel operation mode
CN105205211A (en) * 2015-08-20 2015-12-30 电子科技大学 Modeling method for three-dimensional electromagnetic simulation model of surface channel type mixing schottky diode

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
多电极电磁血液流速仪仿真建模研究;吴学礼等;《河北科技大学学报》;20141231;第35卷(第6期);第569-576页

Also Published As

Publication number Publication date
CN106503302A (en) 2017-03-15
WO2018058720A1 (en) 2018-04-05

Similar Documents

Publication Publication Date Title
Lai et al. Ionically crosslinked complex gels loaded with oleic acid-containing vesicles for transdermal drug delivery
CN106503302B (en) A kind of method and device for establishing blood electromagnetic simulation model
Ding et al. Printability study of bioprinted tubular structures using liquid hydrogel precursors in a support bath
Xie et al. The effect and mechanism of transdermal penetration enhancement of Fu’s cupping therapy: new physical penetration technology for transdermal administration with traditional Chinese medicine (TCM) characteristics
Taghibakhshi et al. Three-dimensional modeling of avascular tumor growth in both static and dynamic culture platforms
Li et al. The design and evaluation of bionic porous bone scaffolds in fluid flow characteristics and mechanical properties
Lu et al. Three-dimensional microwave head imaging with GPU-based FDTD and the DBIM method
Abedi et al. A simulation-based methodology of developing 3D printed anthropomorphic phantoms for microwave imaging systems
Pérez-Aliacar et al. Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach
Dustler et al. Binary implementation of fractal Perlin noise to simulate fibroglandular breast tissue
Chen et al. Microwave-induced rapid shape change of 4D printed vegetable-based food
Azhdari et al. Diffusion, viscoelasticity and erosion: analytical study and medical applications
Fishler et al. A microfluidic model of biomimetically breathing pulmonary acinar airways
Yu et al. A fractional anomalous diffusion model and numerical simulation for sodium ion transport in the intestinal wall
EP4146394A1 (en) Microfluidic device
Chen et al. A heat and mass transfer model of peanut convective drying based on a two-component structure
Wang et al. Regularization solver guided FISTA for electrical impedance tomography
Foroughimehr et al. The Impact of Base Cell Size Setup on the Finite Difference Time Domain Computational Simulation of Human Cornea Exposed to Millimeter Wave Radiation at Frequencies above 30 GHz
Karageorgos et al. Prediction of viscoelastic properties of enzymatically crosslinkable tyramine–modified hyaluronic acid solutions using a dynamic monte carlo kinetic approach
Huclova Modeling of cell suspensions and biological tissue for computational electromagnetics
Mai et al. Simulation study of microwave ablation of porous lung tissue
Annabi et al. Voices of biotech research
Ferrero et al. Design and Characterization of an RF Applicator for In Vitro Tests of Electromagnetic Hyperthermia
Cherubini et al. Systems Biology Modeling of Nonlinear Cancer Dynamics
Baravalle et al. Procedural bread making

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant