CN106383153B - A kind of blood glucose meter strip recognition methods - Google Patents
A kind of blood glucose meter strip recognition methods Download PDFInfo
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- CN106383153B CN106383153B CN201610903459.1A CN201610903459A CN106383153B CN 106383153 B CN106383153 B CN 106383153B CN 201610903459 A CN201610903459 A CN 201610903459A CN 106383153 B CN106383153 B CN 106383153B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
Abstract
The present invention discloses a kind of blood glucose meter strip recognition methods, obtains N number of sampled data successively according to the time；Two sampled datas for comparing adjacent time point obtain N-1 comparison result, if preceding data are denoted as the first preset value more than rear data；If preceding data are denoted as the second preset value less than rear data；If preceding data are denoted as third preset value equal to rear data.Initial value M and N-1 comparison result are summed, namely add up multiple first preset values, the second preset value and third preset value, obtains calculated value Z.Initial value M and Trend value W are asked poor, compare the size of difference and calculated value Z, simulation strip is identified as if calculated value Z is more than difference.In tendency method identification process using the present invention, the influence of the factors such as blood sugar concentration is eliminated, effectively prevents the identification error that concentration different band is come.Not sampled data itself is calculated in calculating process, interference signal can be filtered well, even if there are interference sources, and sampled data to be made to beat, nor affect on final recognition result.
Description
Technical field
The present invention relates to blood glucose meter technical field of measurement and test, further relate to a kind of blood glucose meter strip recognition methods.
Background technology
The strip that blood glucose meter is applied includes two kinds, and one is simulation strips, and one is true strips.Blood glucose meter is noted
Volume verification is needed using simulation strip, and simulation strip is a kind of pure resistance strip；And during practical blood sugar test, using true
Real strip is used cooperatively after drawing sample with instrument.For two different strips (simulation strip and true strip), blood glucose meter
Two different correction parameter systems are used, to reach accurate validation or test.In order to be excluded in verification or test process
The interference effects of other extraneous factors judges, instrument needs to identify that be inserted into is simulation strip or true strip, so that it is determined that
Any set correction parameter system used.
Under normal circumstances, in the test process for simulating strip, the lasting appearance that sampled data can be at any time is smaller up and down
Bounce variation, but the function of sampled data and time can generally keep approximate rectilinear curve, be not in excessive sampling
Data are beated.True strip during the test, sampled data at any time persistently have the tendency that becoming smaller.According to this rule,
Identify that true strip and the method for simulating strip are to acquire one group of original value to tested strip by instrument, and calculate at present
The difference for obtaining maxima and minima in original value is identified as true strip if difference is more than threshold value, is otherwise identified as mould
Quasi- strip.
Above-mentioned recognition methods has prodigious defect：It is differed during actual test because obtaining actual blood glucose
Compare, being influenced the blood glucose value of acquisition by the different factor such as blood sugar concentration, temperature or hematocrit, there may be larger inclined
Difference, the maximum value or minimum value sampled are the sampled data of inaccuracy；Similarly, if what is be inserted into is simulation strip,
If there are interference sources during the amount of adopting, leading to sampled value, there are larger bounces, cause recognition result inaccurate.For threshold value
The selection of size is more demanding, and value difficulty is larger.Blood glucose meter needs to be applied to a variety of occasions, such anti-interference energy of recognition methods
Power is limited, and discrimination is relatively low under strong signal interference.
Therefore, a kind of method that can accurately identify simulation strip and true strip how is designed, is to need to solve at present
Certainly the technical issues of.
Invention content
Core of the invention is to provide a kind of method that can accurately identify simulation strip and true strip, can be very well
Ground filters out interference signal.Concrete scheme is as follows：
A kind of blood glucose meter strip recognition methods, including：
Obtain N number of sampled data successively according to the time；
Two sampled datas of adjacent time point are relatively obtained into N-1 comparison result, if preceding data count after being more than
It is denoted as the first preset value according to by the comparison result；If the preceding data be less than it is described after data the comparison result is denoted as the
Two preset values；If the preceding data are equal to the rear data is denoted as third preset value by the comparison result；
Initial value M and multiple first preset values, second preset value, the third preset value are summed, obtained
Calculated value Z；
Compare the size of the difference and the calculated value Z of the initial value M and Trend value W, if the calculated value Z is more than institute
It states difference and is then identified as simulation strip, be otherwise identified as true strip.
Optionally, first preset value and second preset value are opposite number.
Optionally, first preset value is+1, and second preset value is -1, and the third preset value is 0.
Optionally, the acquisition methods of the Trend value W include：
Multiple strip identification process is carried out using true strip and simulation strip respectively, respectively obtains multiple calculated values
Z, obtain the calculated value Z of true strip maximum value Zmax and simulation strip described in calculated value Z minimum value Zmin, it is described
Trend value W is calculated as follows：
Wherein：Zmax is the maximum value in calculated value Z described in multiple true strips, and Zmin is to be counted described in multiple simulation strips
Minimum value in calculation value Z, B are default value.
Optionally, further include：Occur X times if the preceding data are less than the rear data connection, is denoted as-X；The calculating
Value Z is calculated by following compensation formula：
Z=M-X+Y
Wherein：Y is the sum of multiple first preset values, second preset value, the third preset value.
Optionally, when X is more than default value B the calculated value Z is calculated according to the compensation formula.
Optionally, the default value B is greater than or equal to 4.
Optionally, the default value B is 5 or 6 or 7.
Optionally, the initial value M is greater than or equal to N.
The present invention provides a kind of blood glucose meter strip recognition methods, first obtain N number of sampled data successively according to the time；Compare
Two sampled datas of adjacent time point obtain N-1 comparison result, if preceding data are denoted as the first preset value more than rear data；If
Preceding data are denoted as the second preset value less than rear data；If comparison result is denoted as third preset value by preceding data equal to rear data.It will
Initial value M sums with N-1 comparison result, namely add up multiple first preset values and the second preset value and third preset value, obtains
To calculated value Z.It asks difference to obtain difference initial value M and Trend value W, compares the size of difference and calculated value Z, if calculated value Z is big
It is then identified as simulation strip in difference, is otherwise identified as true strip.
In tendency method identification process using the present invention, the influence of the factors such as blood sugar concentration is eliminated, is effectively avoided
Because of the identification error that concentration different band is come.It, can be well because not being calculated sampled data itself in calculating process
Interference signal is filtered out, even if there are interference sources, and sampled data to be made to there is bounce, nor affects on final recognition result.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is the sampling curve of true strip；
Fig. 2 is the sampling curve for simulating strip；
Fig. 3 is to carry out the curve graph that blood sugar test obtains using true strip；
Fig. 4 is that the set of calculated value Z in Fig. 3 is taken out stitches figure；
Fig. 5 is to carry out the curve graph that blood sugar test obtains using simulation strip；
Fig. 6 is that the set of calculated value Z in Fig. 5 is taken out stitches figure；
Fig. 7 is the flow chart of blood glucose meter strip recognition methods provided by the present invention；
Fig. 8 is the overall flow figure of blood glucose meter strip recognition methods provided by the present invention.
Specific implementation mode
Core of the invention is to provide a kind of method that can accurately identify simulation strip and true strip, can be very well
Ground filters out interference signal.
In order to make those skilled in the art more fully understand technical scheme of the present invention, below in conjunction with attached drawing and specifically
Embodiment explanation is described in detail to the blood glucose meter strip recognition methods of the application.
As shown in fig. 7, for the flow chart of blood glucose meter strip recognition methods provided by the present invention, include the following steps：
S1, N number of sampled data is obtained successively according to the time；
S2, two sampled datas for comparing adjacent time point, finally can be obtained N-1 comparison result；If adjacent time point
Two sampled datas in preceding data comparison result is then denoted as the first preset value more than rear data；If preceding data are less than rear data
Comparison result is then denoted as the second preset value；If preceding data are denoted as third preset value equal to rear data；
S3, initial value M and N-1 comparison result are summed, the first preset value, the second preset value or third preset value number
Amount is total up to N-1；Also initial value M the first preset values, the second preset value, third preset value for being N-1 with sum is summed
Obtain calculated value Z；Specifically, first the numerical value of N-1 the first preset values, the second preset value, third preset value can be added, is obtained
With value Y, then initial value M is added with Y to obtain calculated value Z, namely
Z=M+Y
Wherein：Y is the sum of N-1 comparison result, and Y value can just be born；
Certainly, also can on the basis of after the completion of each judging result in initial value M accumulation calculating；
S4, judge whether calculated value Z is more than the difference of initial value M and Trend value W, simulation examination is identified as if being to be if result
Item, if the result is negative namely calculated value Z is then identified as true strip less than or equal to difference.
In tendency method identification process using the present invention, the influence of the factors such as blood sugar concentration is eliminated, is effectively avoided
Because of the identification error that concentration different band is come.It, can be well because not being calculated sampled data itself in calculating process
Interference signal is filtered out, even if there are interference sources, and sampled data to be made to there is bounce, nor affects on final recognition result.
The first preset value and the second preset value are opposite number in the present invention.Data before only being represented due to the numerical value of comparison result
The trend risen or fallen with rear data bus connection, if therefore trend it is opposite the number of sections it is identical, the result summed is zero.
Specifically, the first preset value is+1 in the present invention, and the second preset value is -1, and third preset value is 0, can simplify calculating.This hair
Initial value M in bright is greater than or equal to N, if comparison result is all -1, calculated value Z is positive number.
If preceding data occur X times less than rear data connection, it is denoted as-X, X here needs to be more than some default value B；
It needs to compensate calculating at this time, the result of calculated value Z is：
Z=M-X+Y
Wherein：Y be N-1 comparison result sum, namely sum be the first preset value, the second preset value, third preset
The sum of value.
Preceding data continuously occur less than rear data, indicate that data and curves are on the rise, are by the external world under normal conditions
Caused by interference, it is downward trend that data are thought when increasing compensation still.Therefore test the step of in should also include compensation process S5,
Judge that preceding data are less than whether the number X that rear data occur is more than default value B, Z=M-X+Y if being to be if result, if result
Otherwise to carry out step S4, Z=M+Y.As shown in figure 8, for the overall flow figure of blood glucose meter strip recognition methods.
In the present invention, it needs to compensate when default value B more than or equal to 4 namely X is more than four times.Default value B
Numerical value need to be specifically chosen according to different test cases, be set greater than or be only a kind of preferred scheme equal to 4.
The present invention needs to predefine Trend value W, is then stored in instrument, and the trend of storage is transferred in each test
Value W participates in the calculating of identification process.The process of determination trend value W is as follows：
S1 repeat the above steps to step S4, carries out multiple strip with simulation strip using true strip respectively and identified
Journey respectively obtains multiple calculated value Z, obtains the minimum of the maximum value Zmax and simulation strip calculated value Z of true strip calculated value Z
Value Zmin acquires Trend value W：
Wherein：Zmax is the maximum value in multiple true strip calculated value Z, and Zmin is in multiple simulation strip calculated value Z
Minimum value, B is default value, under normal circumstances Zmin>Zmax.
Default value B specifically can be taken as 5 or 6 or 7.More specifically default value B is preferably 5, and Trend value W is at this time：
When specific operation, the value of N is generally higher than 30, and the time interval t for obtaining sampled data is：
Wherein：T is sampling total time.
Blood sugar test strip measure blood glucose mechanism be：Addition DC voltage (electric current) acquires a certain determining time after encouraging
The transient changing value of the electric current (voltage) of point.Studies have shown that blood sugar test strip is after blood instillation, it is resistive between two electrodes
Inclined capacitive load, using direct energizing voltages between two electrode of strip, electrochemical reaction phenomenon is as shown in Figure 1.Use mould
When quasi- strip test, the phenomenon that being resistive load, reacted between two strips using direct energizing voltages between two electrodes such as Fig. 2
It is shown.
A kind of example of determination trend value W is given below：
The first step carries out blood sugar test using true strip and samples to obtain collection of curves in Fig. 3 (10 samples), every song
Line represents the sampled data of a sample during the test；Initial value M=1000 is taken at random, trend is carried out to every curve respectively
The set for obtaining blood glucose strip calculated value Z is calculated, the set curve as shown in Figure 4 of calculated value Z takes wherein maximum value
Zmax=950；
Second step obtains Fig. 5 curves (the simulation strips of 4 kinds of different resistance values), every song using simulation strip test sample
Line represents the sampled value of the simulation strip of a different resistance values during the test；Initial value M=1000 is taken at random, respectively to every
Curve carries out trend and calculates the calculated value Z set for obtaining simulation strip, and calculated value Z gathers curve as shown in FIG. 6, takes wherein
Minimum value Zmin=998；
It is calculated by calculation formula
Whether the amount of adopting, or the test sample of simulation strip are tested in true blood glucose strip, sample situation is more, becomes
The W acquirements of gesture value are more accurate, then recognition accuracy can be promoted.Sample situation include blood glucose strip test in blood sugar concentration not
Temperature when, adopt amount different with, sample hematocrit is different, whether there is interference signal source；And in simulation strip test
Simulation strip resistance value difference, etc. uncertain factor.The use state of user under normal circumstances can be more simulated, for W values
Calculating it is more accurate.
Fig. 1 is the sampling curve of true strip, and Fig. 2 is the sampling curve for simulating strip.If using original method, because
To there is the sampled data being disturbed bounce in simulation strip, it is 619 to sample the difference between maxima and minima, and right
Should be 548 in the difference of true strip so that the simulation calculated difference of strip difference more calculated than true strip is also big, this
No matter how sample threshold value takes, simulation strip can be identified as true strip；
And in the recognition methods of the present invention, it is assumed that initial value takes M=1000, and trend calculating is carried out for the sampled value in Fig. 1,
Z=949 is finally obtained, W values are 9.6, then M-W=1000-9.6=991.4, such Z<M-W is to be different from " Z>M-W's "
Situation is identified as true strip；Trend calculating is carried out for the sampled value in Fig. 2, finally obtains Z=995, same W values are
9.6, then M-W=1000-9.6=991.4, such Z>M-W is identified as simulation strip by identification calculating principle.
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 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, this hair
It is bright to be not intended to be limited to the embodiments shown herein, and be to fit to and the principles and novel features disclosed herein phase
Consistent widest range.
Claims (8)
1. a kind of blood glucose meter strip recognition methods, which is characterized in that including：
Obtain N number of sampled data successively according to the time；
Two sampled datas of adjacent time point are relatively obtained into N-1 comparison result, if preceding data will more than rear data
The comparison result is denoted as the first preset value；If the preceding data are less than the rear data is denoted as second in advance by the comparison result
If value；If the preceding data are equal to the rear data is denoted as third preset value by the comparison result；
Initial value M and multiple first preset values, second preset value, the third preset value are summed, calculated
Value Z；
Compare the size of the difference and the calculated value Z of the initial value M and Trend value W, if the calculated value Z is more than the difference
Value is then identified as simulation strip, is otherwise identified as true strip；
The acquisition methods of the Trend value W include：
Multiple strip identification process is carried out using true strip and simulation strip respectively, multiple calculated value Z is respectively obtained, obtains
Take the maximum value Z of the calculated value Z of true stripmaxWith the minimum value Z of calculated value Z described in simulation stripmin, the Trend value
W is calculated as follows：
Wherein：ZmaxFor the maximum value in calculated value Z described in multiple true strips, ZminFor calculated value Z described in multiple simulation strips
In minimum value, B is default value.
2. blood glucose meter strip recognition methods according to claim 1, which is characterized in that first preset value and described the
Two preset values are opposite number.
3. blood glucose meter strip recognition methods according to claim 2, which is characterized in that first preset value is+1, institute
It is -1 to state the second preset value, and the third preset value is 0.
4. blood glucose meter strip recognition methods according to claim 1, which is characterized in that further include：If the preceding data are small
Data connection occurs X times after described, then is denoted as-X；The calculated value Z is calculated by following compensation formula：
Z=M-X+Y
Wherein：Y is the sum of multiple first preset values, second preset value, the third preset value.
5. blood glucose meter strip recognition methods according to claim 4, which is characterized in that when X be more than default value B when according to
The compensation formula calculates the calculated value Z.
6. blood glucose meter strip recognition methods according to claim 5, which is characterized in that the default value B is more than or waits
In 4.
7. blood glucose meter strip recognition methods according to claim 6, which is characterized in that the default value B be 5 or 6 or
7。
8. blood glucose meter strip recognition methods according to claim 1, which is characterized in that the initial value M is greater than or equal to
N。
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1612554A1 (en) * | 2004-06-29 | 2006-01-04 | Lifescan, Inc. | A method of preventing reuse of a test strip |
| CN202583211U (en) * | 2012-03-29 | 2012-12-05 | 长沙三诺生物传感技术股份有限公司 | Test strip, test strip correction parameter automatic identification system and glucose meter |
| JP2013504054A (en) * | 2009-09-04 | 2013-02-04 | ライフスキャン・スコットランド・リミテッド | Method, system and apparatus for identifying the type of test strip |
| CN203025141U (en) * | 2012-06-25 | 2013-06-26 | 三诺生物传感股份有限公司 | Test bar identification system |
| CN104458585A (en) * | 2013-09-12 | 2015-03-25 | 建舜生物科技股份有限公司 | Detection instrument, test strip and method for identifying test strip |
-
2016
- 2016-10-17 CN CN201610903459.1A patent/CN106383153B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1612554A1 (en) * | 2004-06-29 | 2006-01-04 | Lifescan, Inc. | A method of preventing reuse of a test strip |
| JP2013504054A (en) * | 2009-09-04 | 2013-02-04 | ライフスキャン・スコットランド・リミテッド | Method, system and apparatus for identifying the type of test strip |
| CN202583211U (en) * | 2012-03-29 | 2012-12-05 | 长沙三诺生物传感技术股份有限公司 | Test strip, test strip correction parameter automatic identification system and glucose meter |
| CN203025141U (en) * | 2012-06-25 | 2013-06-26 | 三诺生物传感股份有限公司 | Test bar identification system |
| CN104458585A (en) * | 2013-09-12 | 2015-03-25 | 建舜生物科技股份有限公司 | Detection instrument, test strip and method for identifying test strip |
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