CN109324188A - A kind of precision dynamic urine measurement method and system - Google Patents
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- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
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Abstract
The invention discloses a kind of precision dynamic urine measurement method and systems, are related to technical field of medical detection.Precision dynamic urine measuring system in the present invention is integrated by a variety of detection modules, comprehensive measurement is carried out to urine to be measured, and it is quickly able to convert electric signal for the physical features of urine to be delivered in urine memory and store, pass through control processor, it can be before and after urine measurement, the element contained inside each measurement module is controlled, pass through wireless signal transmitter, the physical characteristic information of the urine stored in urine information-storing device can be wirelessly transferred, pass through wireless signal receiver, it can be before urine measurement, to urine information-storing device remote transmission data, can also remote transmission signal to control processor, urine measurement is remotely controlled；The relationship between the output data and test result of each sensor is simulated using the method based on deep learning simultaneously, so that test result is comprehensively accurate.
Description
Technical field
The present invention relates to technical field of medical detection, specially a kind of precision dynamic urine measurement method and system.
Background technique
Uroflow amount is to reflect the important indicator of human body fluid dynamic equilibrium and cardiorenal function, and accurate uroflow amount monitoring helps
In the variation for judging the state of an illness, therapeutic scheme is worked out in guidance, and uroflow amount monitoring is in one in detection patient's many indexes is important
Hold, for patient with severe symptoms, uroflow amount can usually indicate the disorder of renal function before serum creatinine raising, still, for a long time
Since for uroflow amount, this can reflect the important parameter of human body effective circulating blood volume and renal function in time, clinically monitor
Accuracy timeliness it is all far from enough, let alone automatic safety monitoring.Currently, the country is clinically for patient with severe symptoms's
Urine monitoring is always manual discontinuity static monitoring techniques, not only increases the work load of nurse, leads to the waste of medical care energy,
And increase the danger of urine contact stain, it is also possible to there is phenomena such as can not measuring on time, misregistration, it may be to clinic
Judgement occasions a delay or serious misconduct, and current urine generates when measuring, and is difficult to ensure to the accuracy of urine measurement, due to
The specific gravity of sufferer urine is excessively high, and urine sample fails quickly to detect, and urine sample generates precipitating, so as to cause the accurate sexual deviation of urine measurement
It is larger.
Summary of the invention
The purpose of the present invention is to provide a kind of precision dynamic urine measuring systems, to solve to exist in the prior art
Foregoing problems.
To achieve the goals above, The technical solution adopted by the invention is as follows:
A kind of precision dynamic urine measuring system, including urine measurement end and control transmission end, the urine measurement end
Parametric measurement is carried out to urine to be measured, and transfers data to control transmission end.
Preferably, the urine measurement end includes temperature detecting module, weighing measurement module and specific gravity test module, described
The temperature of temperature detecting module measurement urine simultaneously transmits temperature data, and the weighing test module carries out the urine for entering system
Weighing, and transmission weight data；The specific weight determine module testing urine specific gravity, and transmit data.
Preferably, the temperature detecting module includes temperature sensor and temperature transmitter, and the temperature detecting module is
It is measured by temperature of the temperature sensor to urine, and is electricity by the urine temperature inversion that temperature transmitter will test
Signal is conveyed；The weighing measurement module includes weighing sensor and weight transmitter, and the weighing measurement module is logical
It crosses weighing sensor to weigh the urine of entrance, and is telecommunications by the urine weight conversion that weight transmitter will test
It number is conveyed；The specific gravity test module includes specific gravity sensor and specific gravity transmitter, and the specific gravity test module is to pass through
The urine of entrance is carried out specific gravity test by specific gravity sensor, and is electricity by the urine weight conversion that specific gravity transmitter will test
Signal is conveyed.
Preferably, the control transmission end includes control memory module and information transmission modular, the control memory module
Including control processor and urine information-storing device, the control memory module is by control processor to urine physical features
Required element is controlled and is adjusted when measuring, and the urine information-storing device is by temperature transmitter, weighing transmitting
Device and the electric signal of specific gravity transmitter conversion turn to data and are stored；The information transmission modular includes wireless signal receiver
And wireless signal transmitter, the wireless signal receiver are by wireless receiving external information, the wireless signal transmitter
It is by wirelessly transmitting the information of storage.
It is a further object of the present invention to provide a kind of sides that the measurement of precision dynamic urine is carried out using above-mentioned measuring system
Method mainly includes the following steps:
S1: data acquisition: urine data are acquired using the precision dynamic urine measuring system of independent research；
S2: data model is established: being carried out deep learning using the data acquired in step S1, is established data model；
S3: analysis detection Data Detection: is carried out to urine data using the data model established in step S2.
Preferably, the data acquisition in step S1 mainly surveys urine using the sensor in the measuring system
Amount, the sensor includes at least one of weighing sensor, temperature sensor and specific gravity sensor, and collected data are
The output data of instrument.
Preferably, step S2 the following steps are included:
S21: data divide: data collected in step S1 are divided into training set and test set；
S22: data study: creation linear model carries out depth using the data in collected training set in step S21
Study, obtains the parameter of linear model；
S23: it establishes function: using the output data of measuring system and the output data of step S22, creating cost function,
With the value of this cost function come determine when stop deep learning process；When the value of cost function is minimum value, deep learning
Terminate, into S24；
S24: test comparison: being tested using the data in test set, and actual test result is calculated with model
Expected results compare；
S25: transmission solidification: by trained mold curing into measuring system.
Preferably, by taking weighing sensor as an example, deep learning is carried out to collected output data, in the step S22
Linear model may be expressed as: y=w0+w1x1+w2x2,
The w0It is intercept, w1And w2It is parameter, the x1And x2It is the output data of two different weighing sensors respectively；
Deep learning in the step S22 is learnt using the gradient descent method of standard, to obtain linear model
Parameter.
Preferably, cost function is related for measuring the PARAMETERS IN THE LINEAR MODEL that deep learning obtains in the step S23
Property target function, by calculating the value of cost function so that it is determined that whether deep learning can terminate, output linear function ginseng
It counts, cost function can be indicated in the present invention are as follows:
The y(i)It is the data actually measured using standard method；
It is describedIt is the output data that predicted value is linear model in step 1, when the value J (W) of cost function is minimum
When value, show the linear function parameter value exact value highest of deep learning, can terminate deep learning process, and will obtain at this time
Linear model output, enters step S24.
Preferably, it is tested in the step S24 using the data in test set, by the output data generation in test set
Enter linear model to be calculated, by the data of expected results and actual test that model is calculated with compare, if side
Difference is greater than 5%, and foot expected results with thumb down, linear model fitting is unsuccessful, then step S1 is returned to, again to the data of urine
Acquisition, is repeatedly tested and is compared；On the contrary, if obtained variance is less than 5%, then it represents that linear model be fitted successfully, into
Enter step S25, the form that linear model is converted into computer code is cured in device, to complete the number of a sensor
It is exported according to fitting.
It is worth noting that above-mentioned measurement method can be adapted for multiple sensors and a variety of computation models, not only wrap
Weighing sensor, temperature sensor and specific gravity sensor are included, other analyte sensors are also possible to；The model of fitting can also be with
Including a variety of data models, including linear function model and nonlinear function model etc..
The beneficial effects of the present invention are:
Precision dynamic urine measuring system provided by the invention is integrated by a variety of detection modules, to urine to be measured into
The comprehensive measurement of row, and be quickly able to convert electric signal for the physical features of urine to be delivered in urine memory and deposit
Storage can control the element contained inside each measurement module, pass through nothing by control processor before and after urine measurement
The physical characteristic information of the urine stored in urine information-storing device can be wirelessly transferred, pass through nothing by line signal transmission device
Line signal receiver, can be before urine measurement, can also the extremely control of remote transmission signal to urine information-storing device remote transmission data
Processor processed remotely controls urine measurement；The defeated of each sensor is simulated using the method based on deep learning simultaneously
Relationship between data and test result out, so that test result is comprehensively accurate.
Detailed description of the invention
Fig. 1 is precision dynamic urine measuring system structure chart；
Fig. 2 is precision dynamic urine measuring method flow chart.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing, to the present invention into
Row is further described.It should be appreciated that the specific embodiments described herein are only used to explain the present invention, it is not used to
Limit the present invention.
Embodiment
As shown in Figure 1, the present embodiment provides a kind of precision dynamic urine measuring system, including urine measurement end and control
Transmission end, the urine measurement end include temperature detecting module, weighing measurement module and specific gravity test module, the temperature detection
Module includes temperature sensor and temperature transmitter, the temperature detecting module be by temperature sensor to the temperature of urine into
Row measurement, and the urine temperature inversion that will test by temperature transmitter is that electric signal is conveyed；The weighing measurement mould
Block includes weighing sensor and weight transmitter, and the weighing measurement module is to be carried out the urine of entrance by weighing sensor
It weighs, and the urine weight conversion that will test by weight transmitter is that electric signal is conveyed；The specific gravity test module
Including specific gravity sensor and specific gravity transmitter, the specific gravity test module is to be compared the urine of entrance by specific gravity sensor
Remeasurement, and the urine weight conversion that will test by specific gravity transmitter is that electric signal is conveyed.
The control transmission end includes control memory module and information transmission modular, and the control memory module includes control
Processor and urine information-storing device, the control memory module are to be measured by control processor to urine physical features
The element of Shi Suoxu is controlled and is adjusted, and the urine information-storing device is by temperature transmitter, weight transmitter and specific gravity
The electric signal of transmitter conversion turns to data and is stored；The information transmission modular includes wireless signal receiver and wireless communication
Number transmitter, the wireless signal receiver is by wireless receiving external information, and the wireless signal transmitter is to pass through nothing
Line transmits the information of storage.
It is a further object of the present invention to provide a kind of sides that the measurement of precision dynamic urine is carried out using above-mentioned measuring system
Method mainly includes the following steps:
S1: data acquisition: urine data are acquired using the precision dynamic urine measuring system of independent research；
S2: data model is established: being carried out deep learning using the data acquired in step S1, is established data model；
S21: data divide: output data collected in step S1 is divided into training set and test set；
S22: data study: creation linear model carries out depth using the data in collected training set in step S21
Study, obtains the parameter of linear model；
S23: it establishes function: using the output data of measuring system and the output data of step S22, creating cost function,
With the value of this cost function come determine when stop deep learning process；When the value of cost function is minimum value, deep learning
Terminate, into S24；
S24: test comparison: being tested using the data in test set, and actual test result is calculated with model
Expected results compare；
S25: transmission solidification: by trained mold curing into measuring system.
S3: analysis detection Data Detection: is carried out to urine data using the data model established in step S2.
It is noted that data acquisition in step S1 mainly using the sensor in the measuring system to urine into
Row measurement, the sensor includes at least one of weighing sensor, temperature sensor and specific gravity sensor, collected number
According to the output data for instrument.
By taking weighing sensor as an example, deep learning, linear model in the step S22 are carried out to collected output data
It may be expressed as: y=w0+w1x1+w2x2,
The w0It is intercept, w1And w2It is parameter, the x1And x2It is the output data of two different weighing sensors respectively；
Deep learning in the step S22 is learnt using the gradient descent method of standard, to obtain linear model
Parameter.
Cost function is the index for measuring the PARAMETERS IN THE LINEAR MODEL correlation that deep learning obtains in the step S23
Function, the value by calculating cost function export linear function parameter, this implementation so that it is determined that whether deep learning can terminate
Cost function can be indicated in example are as follows:
The y(i)It is the data actually measured using standard method；
It is describedIt is the data obtained after the calculating of linear model using output data in step 1, works as cost function
Value J (W) be minimum value when, show the linear function parameter value exact value highest of deep learning, deep learning mistake can be terminated
Journey, and the linear model obtained at this time is exported, enter step S24.
It is tested, the output data in test set is substituted into linear using the data in test set in the step S24
Model is calculated, by the data of expected results and actual test that model is calculated with compare, if variance is greater than
5%, foot expected results with thumb down, linear model fitting is unsuccessful, then returns to step S1, acquires again to the data of urine,
It is repeatedly tested and is compared；On the contrary, if obtained variance is less than 5%, then it represents that linear model is fitted successfully, is entered step
The form that linear model is converted into computer code is cured in device by S25, to complete the data fitting an of sensor
Output.
It is worth noting that, the present embodiment, only by taking a sensor as an example, but above-mentioned measurement method can be applicable in
It not only include weighing sensor, temperature sensor and specific gravity sensor in multiple sensors and a variety of computation models, it can also be with
It is other analyte sensors；The model of fitting also may include a variety of data models, including linear function model and non-linear letter
Exponential model etc..
By using above-mentioned technical proposal disclosed by the invention, following beneficial effect has been obtained:
Precision dynamic urine measuring system provided by the invention is integrated by a variety of detection modules, to urine to be measured into
The comprehensive measurement of row, and be quickly able to convert electric signal for the physical features of urine to be delivered in urine memory and deposit
Storage can control the element contained inside each measurement module, pass through nothing by control processor before and after urine measurement
The physical characteristic information of the urine stored in urine information-storing device can be wirelessly transferred, pass through nothing by line signal transmission device
Line signal receiver remotely can transmit data to urine information-storing device before urine measurement, can also the extremely control of remote transmission signal
Processor processed remotely controls urine measurement；The defeated of each sensor is simulated using the method based on deep learning simultaneously
Relationship between data and test result out, so that test result is comprehensively accurate.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
Depending on protection scope of the present invention.
Claims (10)
1. a kind of precision dynamic urine measuring system, which is characterized in that including urine measurement end and control transmission end, the urine
Liquid measurement end carries out parametric measurement to urine to be measured, and transfers data to control transmission end.
2. precision dynamic urine measuring system according to claim 1, which is characterized in that the urine measurement end includes
Temperature detecting module, weighing measurement module and specific gravity test module, the temperature detecting module measure the temperature of urine and transmission
Temperature data, the weighing test module weighs to the urine for entering system, and transmission weight data；The specific weight determine
Module testing urine specific gravity, and transmit data.
3. precision dynamic urine measuring system according to claim 2, which is characterized in that the temperature detecting module packet
Temperature sensor and temperature transmitter are included, the temperature detecting module is surveyed by temperature of the temperature sensor to urine
Amount, and the urine temperature inversion that will test by temperature transmitter is that electric signal is conveyed；The weighing measurement module packet
Weighing sensor and weight transmitter are included, the weighing measurement module is to claim the urine of entrance by weighing sensor
Amount, and the urine weight conversion that will test by weight transmitter is that electric signal is conveyed；The specific gravity test module packet
Specific gravity sensor and specific gravity transmitter are included, the specific gravity test module is that the urine of entrance is carried out specific gravity by specific gravity sensor
Measurement, and the urine weight conversion that will test by specific gravity transmitter is that electric signal is conveyed.
4. precision dynamic urine measuring system according to claim 1, which is characterized in that the control transmission end includes
It controls memory module and information transmission modular, the control memory module includes control processor and urine information-storing device, institute
Stating control memory module is that element required when being measured by control processor to urine physical features is controlled and adjusted
Whole, the urine information-storing device is that the electric signal of temperature transmitter, weight transmitter and specific gravity transmitter conversion is turned to number
According to being stored；The information transmission modular includes wireless signal receiver and wireless signal transmitter, and the wireless signal connects
Receiving device is by wireless receiving external information, and the wireless signal transmitter is by wirelessly transmitting the information of storage.
5. the method for carrying out the measurement of precision dynamic urine using any measuring system of claim 1-4, feature exist
In mainly including the following steps:
S1: data acquisition: urine data are acquired using the precision dynamic urine measuring system of independent research；
S2: data model is established: being carried out deep learning using the data acquired in step S1, is established data model；
S3: analysis detection Data Detection: is carried out to urine data using the data model established in step S2.
6. measurement method according to claim 5, which is characterized in that the data acquisition in step S1 mainly utilizes the survey
Sensor in amount system measures urine, and the sensor includes weighing sensor, temperature sensor and specific gravity sensing
At least one of device.
7. the method for precision dynamic urine measurement according to claim 5, which is characterized in that step S2 includes following step
It is rapid:
S21: data divide: data collected in step S1 are divided into training set and test set；
S22: data study: creation linear model carries out depth using the data in collected training set in step S21
It practises, obtains the parameter of linear model；
S23: it establishes function: using the output data of actually measured data and step S22, creating cost function；
S24: test comparison: being tested using the data in test set, the expected knot that test result and model are calculated
Fruit compares；
S25: transmission solidification: by trained mold curing into measuring system.
8. the method for precision dynamic urine measurement according to claim 7, which is characterized in that in the step S22
Deep learning is learnt using the gradient descent method of standard, to obtain the parameter of linear model.
9. the method for precision dynamic urine measurement according to claim 7, which is characterized in that the step S22 middle line
Property model may be expressed as:
Y=w0+w1x1+w2x2,
The w0It is intercept, w1And w2It is parameter, the x1And x2It is the output data of two different weighing sensors respectively；
Cost function may be expressed as: in the step S24
The y(i)It is the data actually measured using standard method；
It is describedIt is the output data calculated by linear model.
10. the method for precision dynamic urine measurement according to claim 7, which is characterized in that make in the step S24
It is tested with the data in test set, test result and the expected results that model is calculated is compared, if discontented
Sufficient expected results then return to step S1, acquire again to the data of urine, are repeatedly tested and compared.
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