Bone mineral density ultrasonic measuring system

Abstract

The invention discloses a bone mineral density ultrasonic measuring system. The system belongs to the field of intelligent medical treatment and comprises an information acquisition module, a data output module and a central processing unit. Wherein the information acquisition module can measure bone mineral density, height and weight parameters of a sampling object in real time; the central processing unit calculates the optimal ultraviolet irradiation time and the dosage of the calcium nutrient solution and the vitamin D through data collection and an algorithm. And the data output module can display parameters after data processing and operate in an optimal mode. Compared with the prior art, according to real-time data optimization calculation of a tested object, the most suitable calcium intake can be given after each time of use, the osteoporosis morbidity is reduced, monitoring of bone growth of the tested object and calcium supplement are facilitated, and wide application prospects are achieved.

Description

Technical Field

[0001] The invention belongs to the field of intelligent medical treatment and relates to a bone density ultrasonic measurement system. Background Art

[0002] In the prior art, osteoporosis has the characteristics of high morbidity, high disability rate, high medical expenses and low quality of life. At present, the method of judging whether a patient has osteoporosis is expensive and the process is cumbersome; therefore, an efficient and convenient method of judging osteoporosis is needed. Summary of the invention

[0003] In view of the above problems, the present invention aims to provide a bone density ultrasonic measurement system.

[0004] The technical solution of the present invention is: a bone density ultrasonic measurement system described in the present invention is characterized by comprising an information acquisition module, a central processing unit and a data output module;

[0005] The information collection module includes a bone density ultrasonic sensor, a gravity sensor and an ultrasonic sensor; the gravity sensor measures the weight of the subject by applying pressure to the sensor through the subject;

[0006] The ultrasonic sensor calculates height by emitting and receiving ultrasonic waves and measuring the time difference between the sound waves reflecting back after encountering the subject;

[0007] Bone density sensors can assess bone density by measuring the reflection of ultrasound waves in different tissues of the subject;

[0008] The data output module includes a data display device and an ultraviolet light device;

[0009] The data display instrument receives data output and displays the optimal vitamin D and calcium nutrient solution dosage on the display; the ultraviolet instrument adjusts its own ultraviolet radiation intensity and irradiation time through the central processor;

[0010] The central processing unit includes an NRBO algorithm and a CPU control module;

[0011] The NPBO algorithm obtains the optimal cost control strategy based on the relationship between the UV device, calcium tablets, vitamin dosage and cost, and the data of the sensor module as the input of its algorithm, and sends its strategy to the random access memory in the random access memory of the CPU control module, and reads and executes the corresponding instructions from the random access memory to control the data output module;

[0012] The CPU control module makes decisions based on the strategy provided by the NPBO algorithm and reasonably calculates the total cost. Its objective function is as follows:

[0013] min f=σc C+σ ν V+σ u U

[0014] Where f is the total cost; σ c , σ v , σ u They are the cost coefficients of calcium tablets, vitamins and ultraviolet equipment respectively; C, V and U are the amount of calcium tablets, vitamins and ultraviolet equipment exposure time respectively; the constraints are as follows:

[0015]

[0016] In the formula, C represents the amount of calcium supplement selected; r v Indicates the calcium supplement coefficient corresponding to the selected vitamin; r u Indicates the calcium supplement coefficient corresponding to the selection of ultraviolet irradiation;

[0017] Among them, constraint (1) indicates that the amount of vitamin supplementation and the amount of ultraviolet irradiation should be greater than or equal to the total amount of calcium supplementation; constraint (2) indicates that the amount of calcium supplementation corresponding to the vitamin supplementation is less than or equal to the calcium supplementation; constraint (3) indicates that the amount of calcium supplementation corresponding to the ultraviolet irradiation is less than or equal to the calcium supplementation.

[0018] Furthermore, the data pre-stored in the CPU control module include historical data pre-measured by the sensor and pre-set data, and the historical data pre-measured by the sensor include quantitative ultrasound formula calculation, ultrasonic amplitude attenuation, and height and weight of the subject; the pre-set data are historical data pre-measured by the sensor and pre-set data.

[0019] Furthermore, the bone density ultrasonic examination is a non-invasive, painless and radiation-free detection method; the ultrasonic density examination is suitable for subjects with different health needs; and it can also provide the best calcium supplementation plan based on the subject's calcium absorption.

[0020] Furthermore, the implementation process of the objective function in the central processing unit after being optimized by the NRBO algorithm is as follows:

[0021] Step 1) Establish and initialize the population to form the initial population as follows:

[0022]

[0023] In the formula, is the position of the jth dimension of the nth population, lb is the lower bound, ub is the upper bound, rand represents a random number between [0,1], dim is the problem dimension, N p is the population size;

[0024] Step 2), bringing the randomly generated individual positions into the objective function for evaluation, each individual represents an optimal comprehensive calcium supplementation cost, and the population represents a collection of optimal comprehensive calcium supplementation costs;

[0025] Step 3) Update the population members. In the NPRO algorithm, the best member in the population is And the search result is obtained by searching the search rule NRSR:

[0026]

[0027] y w =r1×(Mean(Z n-1 +x n )+r1×Δx)

[0028] y b =r1×(Mean(Z n+1 +x n )-r1×Δx)

[0029]

[0030] In the formula, is the population algebra; NRSR is the algorithm search rule; randn represents a normally distributed random number with a mean of 0 and a variance of 1; y u ,y w and b is to use Z(n+1) and x n The positions of the three generated vectors; Δx is the population change; x n is the position of the random vector; Mean is the average; r1 and r2 represent random numbers between [0,1] and are not equal; a and b are random numbers between [0,1]; X w , X h With y u ,y w Synonym; Z n+1 Z n-1 They are all calculated intermediate variables;

[0031] Step 4) Update the position of the population members in the search space. When the new position vector is at a certain position, if the comprehensive calcium supplement cost of the new position is lower, it will be replaced by the new position vector;

[0032]

[0033] In the formula, is the population algebra; represents the population generation corresponding to the positions r1 and r2; randn represents a normally distributed random number with a mean of 0 and a variance of 1; y hSame as above u Synonym; X b is a random position; x n is the position of the random vector; r1, δ, r2 represent random numbers between [0,1] and are not equal; a and b are random numbers between [0,1] and are not equal;

[0034] Step 5) Determine whether the constraint conditions are met. If not, return to step 2). If the constraint conditions are met, output;

[0035] Step 6) Output the lowest comprehensive calcium supplementation cost.

[0036] Furthermore, the NRPO algorithm is optimized and step 1) is improved. The diversity of the population is enhanced through a chaotic reverse learning strategy. Expand to X 0 , which helps to improve its diversity and thus achieve rich population diversity, among which X 0 for The corresponding inverse solution is:

[0037]

[0038] The beneficial effects of the present invention are as follows: 1. Based on the data information of the subjects measured by the information acquisition module, the present invention takes the optimal comprehensive calcium supplementation cost as the goal, and uses the NPRO algorithm to optimize the calcium supplementation amount of the subjects, the vitamin supplementation amount of the subjects and the ultraviolet irradiation amount, which is conducive to making full use of the calcium absorption capacity of the subjects and meeting the calcium needs of the subjects; 2. The present invention provides the best calcium supplementation plan by calculating the vitamin supplementation, calcium supplementation and ultraviolet irradiation of the subjects; this bone density ultrasonic measurement system and method can make up for the calcium needs of the subjects to the greatest extent, and avoid a series of problems such as osteoporosis caused by excessive or insufficient calcium supplementation of the subjects; 3. The present invention enhances the diversity of the population by improving the NPRO algorithm and introducing a chaotic reverse learning strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the structure of the present invention;

[0040] Figure 2 is a schematic diagram of ultrasonic measurement of bone density in the present invention;

[0041] Figure 3 It is a flow chart of the NROP algorithm proposed by the present invention. DETAILED DESCRIPTION

[0042] The specific technical scheme of the present invention is further described in detail below with reference to specific examples.

[0043] As shown in the figure, a bone density ultrasonic measurement system and method described in the present invention includes an information acquisition module, a central processing unit and a data output module;

[0044] The information collection module includes a bone density ultrasonic sensor, a gravity sensor and an ultrasonic sensor;

[0045] The gravity sensor measures the subject's weight by applying pressure to the sensor;

[0046] The ultrasonic sensor calculates the height by emitting and receiving ultrasonic waves and measuring the time difference between the sound waves reflecting back after encountering the subject;

[0047] Bone density sensors can assess bone density by measuring the reflection of ultrasound waves in different tissues of the subject;

[0048] The data output module includes a data display device and an ultraviolet light device;

[0049] The data display instrument receives data output and displays the optimal vitamin D and calcium nutrient solution dosage on the display;

[0050] The UV device adjusts its own UV radiation intensity and exposure time through the central processor;

[0051] The central processing unit includes an NRBO algorithm and a CPU control module;

[0052] The NPBO algorithm obtains the optimal cost control strategy based on the relationship between the UV device, calcium tablets, vitamin dosage and cost, and the data of the sensor module as the input of its algorithm, and sends its strategy to the random access memory in the random access memory of the CPU control module, and reads and executes the corresponding instructions from the random access memory to control the data output module;

[0053] The CPU control module makes decisions based on the strategy provided by NPBO and reasonably calculates the total cost. Its objective function is as follows:

[0054] min f=σ c C+σ ν V+σ u U

[0055] Where f is the total cost; σ c , σ v , σ u They are the cost coefficients of calcium tablets, vitamins and ultraviolet equipment respectively; C, V and U are the amount of calcium tablets, vitamins and ultraviolet equipment exposure time respectively; the constraints are as follows:

[0056]

[0057] In the formula, C represents the amount of calcium supplement selected; r v Indicates the calcium supplement coefficient corresponding to the selected vitamin; r u Indicates the calcium supplement coefficient corresponding to the selection of ultraviolet irradiation;

[0058] Constraint (1) indicates that the amount of vitamin supplementation and the amount of ultraviolet irradiation should be greater than or equal to the total amount of calcium supplementation; constraint (2) indicates that the amount of calcium supplementation corresponding to the vitamin supplementation is less than or equal to the calcium supplementation; constraint (3) indicates that the amount of calcium supplementation corresponding to the ultraviolet irradiation is less than or equal to the calcium supplementation.

[0059] like Figure 2 As shown, the subject is placed on the bed, and the subject uses a bone densitometer to measure the subject's relevant parameters.

[0060] like Figure 3 As shown, the present invention uses the NPRO algorithm to optimize the calcium supplementation plan for the subject, and the implementation process is as follows:

[0061] Step 1) Establish and initialize the population to form the initial population as follows:

[0062]

[0063] In the formula, is the position of the jth dimension of the nth population, lb is the lower bound, ub is the upper bound, rand represents a random number between [0,1], dim is the problem dimension, N p is the population size;

[0064] Step 2), bringing the randomly generated individual positions into the objective function for evaluation, each individual represents an optimal comprehensive calcium supplementation cost, and the population represents a collection of optimal comprehensive calcium supplementation costs;

[0065] Step 3) Update the population members. In the NPRO algorithm, the best member in the population is And the search result is obtained by searching the search rule NRSR:

[0066]

[0067] y w =r1×(Mean(Z n-1 +x n )+r1×Δx)

[0068] y b =r1×(Mean(Z n+1 +x n )-r1×Δx)

[0069]

[0070] In the formula, is the population algebra; NRSR is the algorithm search rule; randn represents a normally distributed random number with a mean of 0 and a variance of 1; y u ,y w and b is to use Z(n+1) and x n The positions of the three generated vectors; Δx is the population change; x n is the position of the random vector; Mean is the average; r1 and r2 represent random numbers between [0,1] and are not equal; a and b are random numbers between [0,1]; X w , X h With y u ,y w Synonym; Z n+1 Z n-1 They are all calculated intermediate variables;

[0071] Step 4) Update the position of the population members in the search space. When the new position vector is at a certain position, if the comprehensive calcium supplement cost of the new position is lower, it will be replaced by the new position vector;

[0072]

[0073]

[0074] In the formula, is the population algebra; represents the population generation corresponding to the positions r1 and r2; randn represents a normally distributed random number with a mean of 0 and a variance of 1; y h Same as above u Synonym; X b is a random position; x n is the position of the random vector; r1, δ, r2 represent random numbers between [0,1] and are not equal; a and b are random numbers between [0,1] and are not equal;

[0075] Step 5) Determine whether the constraints are met. If not, return to step 2). If the constraints are met, output.

[0076] Step 6) Output the lowest comprehensive calcium supplementation cost.

[0077] Furthermore, the NRPO algorithm is optimized and step 1) is improved. The diversity of the population is enhanced through a chaotic reverse learning strategy. Expand to X 0 , which helps to increase its diversity and thus achieve rich population diversity, among which X 0 for The corresponding inverse solution.

[0078]

[0079] The present invention proposes to calculate the amount of calcium supplementation through subject parameters, and proposes to use the NPRO algorithm as a control strategy; the algorithm can be adaptively adjusted according to the real-time data of the subject and the most suitable calcium supplementation plan for the subject, so as to better adapt to the demand for calcium and more reasonably realize the intelligent adjustment of the calcium supplementation plan.

Claims

1. A bone density ultrasonic measurement system, characterized in that: It includes interconnected information acquisition modules, central processing unit and data output modules. The information collection module includes a bone density ultrasonic sensor, a gravity sensor and an ultrasonic sensor; The central processing unit includes an NRBO algorithm and a CPU control module; The data output module includes a data display instrument and an ultraviolet instrument.

2. A bone density ultrasonic measurement system according to claim 1, characterized in that: The density ultrasonic sensor, gravity sensor and ultrasonic sensor are respectively connected to a central processing unit, and the central processing unit is respectively connected to a data display instrument and an ultraviolet instrument.

3. A bone density ultrasonic measurement system according to claim 1, characterized in that: The gravity sensor measures the weight of the subject by applying pressure to the subject; Ultrasonic sensors transmit and receive ultrasonic waves, measuring the time difference between the sound waves reflecting back; Bone density ultrasound sensors assess bone density by measuring the reflection of ultrasound waves.

4. The bone density ultrasonic measurement system according to claim 1, characterized in that: The data display device receives data output and displays the optimal vitamin D and calcium nutrient solution dosage on the display; The UV instrument adjusts the intensity and exposure time of ultraviolet rays emitted by the instrument through the central processor.

5. The bone density ultrasonic measurement system according to claim 1, characterized in that: The NPBO algorithm obtains the optimal cost control strategy based on the relationship between the ultraviolet instrument, calcium tablets, vitamin dosage and cost and the data of the sensor module as the input of its algorithm, sends its strategy to the random access memory in the random access memory of the CPU control module, reads and executes the corresponding instructions from the random access memory to control the data output module.

6. The bone density ultrasonic measurement system according to claim 1, characterized in that: The CPU control module makes decisions based on the strategy provided by the NPBO algorithm and reasonably calculates the total cost. Its objective function is as follows: min f=σ c C+s ν V+s u U Where f is the total cost; σ c , σ v , σ u They are the cost coefficients of calcium tablets and vitamins and the use of ultraviolet equipment; C, V, and U are the amount of calcium tablets, vitamins, and ultraviolet equipment exposure time respectively; The constraints are as follows: In the formula, C represents the amount of calcium supplement selected; r v Indicates the calcium supplement coefficient corresponding to the selected vitamin; r u Indicates the calcium supplement coefficient corresponding to ultraviolet irradiation.

7. A bone density ultrasonic measurement system according to claim 6, characterized in that: in, Constraint (1) indicates that the amount of vitamin supplementation and the amount of ultraviolet irradiation should be greater than or equal to the total amount of calcium supplementation; constraint (2) indicates that the amount of calcium supplementation corresponding to the vitamin supplementation is less than or equal to the calcium supplementation; constraint (3) indicates that the amount of calcium supplementation corresponding to the ultraviolet irradiation is less than or equal to the calcium supplementation.

8. The bone density ultrasonic measurement system according to claim 6, characterized in that: The CPU control module includes taking historical data pre-measured by the sensor and pre-set data as pre-stored data; Among them, the historical data pre-measured by the sensor includes quantitative ultrasonic method formula calculation, ultrasonic amplitude attenuation, and the size and weight of the subject.

9. The bone density ultrasonic measurement system according to claim 1, characterized in that: The implementation process of the objective function in the central processor optimized by the NRBO algorithm is as follows: Step 1): Establish and initialize the population to form the initial population as follows: In the formula, is the position of the jth dimension of the nth population, lb is the lower bound, ub is the upper bound, rand represents a random number between [0,1], dim is the problem dimension, N p is the population size; Step 2): Bring the randomly generated individual positions into the objective function for evaluation, each individual represents an optimal comprehensive calcium supplementation cost, and the population represents a collection of optimal comprehensive calcium supplementation costs; Step 3): Update the population members. In the NPRO algorithm, the best member in the population is And the search result is obtained by searching the search rule NRSR: y w =r1×(Mean(Z n-1 +x n )+r1×Δx) y b =r1×(Mean(Z n+1 +x n )-r1×Δx) In the formula, is the population algebra; NRSR is the algorithm search rule; randn represents a normally distributed random number with a mean of 0 and a variance of 1; y u ,y w and b is to use Z(n+1) and x n The positions of the three generated vectors; Δx is the population change; x n is the position of the random vector; Mean is the average; r1 and r2 represent random numbers between [0,1] and are not equal; a and b are random numbers between [0,1]; X w , X h With y u ,y w Synonym; Z n+1 Z n-1 They are all calculated intermediate variables; Step 4): Update the position of population members in the search space. , if the comprehensive calcium supplement cost of the new position is lower, it will be replaced by the new position vector, as shown in the formula: In the formula, is the population algebra; represents the population generation corresponding to the positions r1 and r2; randn represents a normally distributed random number with a mean of 0 and a variance of 1; y h Same as above u Synonym; X b is a random position; x n is the position of the random vector; r1, δ, r2 represent random numbers between [0,1] and are not equal; a and b are random numbers between [0,1] and are not equal; Step 5): Determine whether the constraints are met. If not, return to step 2). If the constraints are met, output; Step 6): Output the lowest comprehensive calcium supplementation cost.

10. The bone density ultrasonic measurement system according to claim 1, characterized in that: The NRPO algorithm is optimized, step 1 is improved, and the diversity of the population is enhanced through a chaotic reverse learning strategy. Expand to X 0 ; Among them, X 0 for The corresponding inverse solution; that is:

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