CN107157460A - A kind of sphygmomanometer stability test methods, devices and systems - Google Patents
A kind of sphygmomanometer stability test methods, devices and systems Download PDFInfo
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- CN107157460A CN107157460A CN201710457363.1A CN201710457363A CN107157460A CN 107157460 A CN107157460 A CN 107157460A CN 201710457363 A CN201710457363 A CN 201710457363A CN 107157460 A CN107157460 A CN 107157460A
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The present invention provides a kind of sphygmomanometer stability test methods, devices and systems.Present invention control sphygmomanometer to be tested carries out M test, whether within a preset range first judge the fluctuation of M group data values passed back after sphygmomanometer simulation test and deviation, if within a preset range, the experimental standard deviation value of M group data values is calculated again, if experimental standard deviation value is not more than predetermined deviation value, sphygmomanometer qualified stability to be tested can be determined.Built-in series of algorithms of the invention, the stability of sphygmomanometer is judged by calculating automatically, it is not necessary to contrasted the result of test result and pressure precision instrument, elapsed time is short, efficiency high；And the present invention can control sphygmomanometer to test automatically, for the manual test of prior art, reduce the influence of maloperation, make test accuracy raise and will not waste of manpower.
Description
Technical field
The present invention relates to field of medical device, more particularly to a kind of sphygmomanometer stability test methods, devices and systems.
Background technology
Sphygmomanometer is a kind of device for measuring blood pressure, and in the production process of sphygmomanometer, stability be again one very
Important test index.
In the prior art, the method for testing of stability is：Simulator and pressure precision instrument are connected with the gas circuit of sphygmomanometer,
Simulator is used to simulate human body change.After simulator is started working, it can go out in the gas circuit of sphygmomanometer and the connection of pressure precision instrument
Existing an equal amount of air pressure.Sphygmomanometer and pressure precision instrument are used manually, and the air pressure is tested respectively, observes and records blood
Pressure counts the pressure value tested out with pressure precision instrument and judges that whether two kinds of instruments measure the difference of pressure in default error model
In enclosing.In order to reduce error influence, general measure carries out mathematic interpolation again after repeatedly averaging.
The defect of prior art is：The result of sphygmomanometer test will be contrasted with the result of pressure precision instrument, during consumption
Between it is long, efficiency is low；Manual test waste of manpower, and easily maloperation is repeated, makes the accuracy of test.
The content of the invention
In order to solve the above technical problems, the invention provides a kind of sphygmomanometer stability test methods, devices and systems, skill
Art scheme is as follows：
A kind of sphygmomanometer stability test method, it is characterised in that methods described includes：
Control sphygmomanometer to be tested to carry out M time to test, judge M group data values fluctuation and deviation whether in preset range
It is interior；Wherein, M is the numerical value not less than 2；
If within a preset range, calculating the experimental standard deviation value of M group data values；If experimental standard deviation value is not
More than predetermined deviation value, the sphygmomanometer qualified stability to be tested is determined.
A kind of sphygmomanometer stability test device, it is characterised in that described device includes：
First judge module：Sphygmomanometer to be tested is controlled to carry out M test, the fluctuation and deviation for judging M group data values are
It is no within a preset range；Wherein, M is the numerical value not less than 2；
Second judge module：If within a preset range, calculating the experimental standard deviation value of M group data values；Such as fruit
Test standard deviation value and be not more than predetermined deviation value, determine the sphygmomanometer qualified stability to be tested.
A kind of sphygmomanometer system for testing stability, it is characterised in that the system includes：Analog module, sphygmomanometer is stable
Property test module；
The analog module：It is connected with sphygmomanometer to be tested, blood pressure or pulse for simulating human body；
The sphygmomanometer stability test module includes：
First judge module：Control sphygmomanometer to be tested to carry out M test, judge the M passed back after sphygmomanometer simulation test
Within a preset range whether the fluctuation of group data value and deviation；Wherein, M is the numerical value not less than 2；
Second judge module：If within a preset range, calculating the experimental standard deviation value of M group data values；Such as fruit
Test standard deviation value and be not more than predetermined deviation value, determine the sphygmomanometer qualified stability to be tested.
A kind of sphygmomanometer system for testing stability, it is characterised in that the system includes：Analog module, memory module, blood
Pressure meter stability test module；
The analog module：It is connected with sphygmomanometer to be tested, blood pressure or pulse for simulating human body；
The memory module：It is connected with control module, for receiving and storing test data and result of calculation；
The sphygmomanometer stability test module includes：
First judge module：Control sphygmomanometer to be tested to carry out M test, judge the M passed back after sphygmomanometer simulation test
Within a preset range whether the fluctuation of group data value and deviation；Wherein, M is the numerical value not less than 2；
Second judge module：If within a preset range, calculating the experimental standard deviation value of M group data values；Such as fruit
Test standard deviation value and be not more than predetermined deviation value, determine the sphygmomanometer qualified stability to be tested.
The invention provides a kind of sphygmomanometer stability test methods, devices and systems.Wherein built-in series of algorithms, leads to
Cross the automatic stability for calculating and judging sphygmomanometer, it is not necessary to contrasted the result of test result and pressure precision instrument, consume
Time is short, efficiency high；And the present invention can control sphygmomanometer to test automatically, for the manual test of prior art, reduce
The influence of maloperation, make test accuracy raise and will not waste of manpower.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments described in invention, for those of ordinary skill in the art, can also obtain other according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of schematic diagram of sphygmomanometer stability test device of the embodiment of the present invention；
Fig. 2 is a kind of flow chart of sphygmomanometer stability test method of the embodiment of the present invention；
Fig. 3 is another flow chart of sphygmomanometer stability test method of the embodiment of the present invention；
Fig. 4 is another schematic diagram of sphygmomanometer stability test device of the embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of sphygmomanometer system for testing stability of the embodiment of the present invention；
Fig. 6 is another schematic diagram of sphygmomanometer system for testing stability of the embodiment of the present invention.
Embodiment
The embodiments of the invention provide a kind of sphygmomanometer stability test method, this method may comprise steps of：
Control sphygmomanometer to be tested to carry out M time to test, judge M group data values fluctuation and deviation whether in preset range
It is interior；Wherein, M is the numerical value not less than 2；
If within a preset range, calculating the experimental standard deviation value of M group data values；If experimental standard deviation value is not
More than predetermined deviation value, the sphygmomanometer qualified stability to be tested is determined.
Present invention uses a kind of autocontrol method, stability test device can be made to send test instruction control blood pressure
Meter is tested, it is no longer necessary to manual test, and wherein built-in series of algorithms, can judge blood pressure by calculating automatically
The stability of meter, it is not necessary to contrasted the result of test result and pressure precision instrument, compared with the manual test of prior art
For, reduce the influence of maloperation, make test accuracy raise and will not waste of manpower, and elapsed time is short, efficiency high.
Stability test method in such as Fig. 1, the present invention is applied to stability test device in figure.Stability test device
Connect sphygmomanometer.Sphygmomanometer is connected with simulator by gas circuit.Sphygmomanometer, which is received, to be come after the test instruction of self-test device, is started
Human blood-pressure or pulse that test gimulator is simulated.Stability test device is received after the data value of sphygmomanometer measurement, is started
Calculate and judge whether sphygmomanometer stability is qualified.
In order that those skilled in the art more fully understand the technical scheme in the present invention, below in conjunction with present invention implementation
Accompanying drawing in example, the technical scheme in the embodiment of the present invention is described in detail.
Fig. 2 is refer to, is a kind of flow chart of sphygmomanometer stability test method in the embodiment of the present invention, it can include
Following basic step：
S201, control sphygmomanometer carries out M test, receives M group data values；
Test instruction is sent to sphygmomanometer, sphygmomanometer is started test, sphygmomanometer, which is carried out continuously after M test, to be stopped surveying
Examination, receives the M group data values that sphygmomanometer is obtained after the test of M groups.
Sphygmomanometer in test, it is necessary to use gas circuit connection simulator, the characteristics of human body simulated by test gimulator come
Obtain test data.
Simulator said herein, be it is a kind of can simulate the blood pressure of human body, the device of the change such as pulse, simulator can be with
The data value needed according to user is simulated.Illustrate：When user needs the pulse frequency that simulator simulates 60 times per minute
During value, it is only necessary to set pulse frequency value as 60 in simulator.
S202, judge M group data values fluctuation and deviation whether within a preset range；
Receive after M group data values, whether within a preset range to judge the pressure value fluctuation of blood pressure in M group data.This sentence
Words are referred to：Maximum pressure value and minimum pressure values are selected in M pressure value, judging the difference of maximum and minimum value is
It is no to be less than some preset value.
Wherein, blood pressure is divided into systolic pressure and diastolic pressure：
Systolic pressure：When human heart shrinks, endarterial pressure rises, systaltic mid-term, and Intraarterial pressure is most
Height, now blood systolic pressure, also known as high pressure are referred to as to the pressure of blood vessel.
Diastolic pressure：When human heart diastole, during arteries elastical retraction, aortic pressure declines, and is moved in the heart easypro latter stage
Arteries and veins blood pressure is in minimum, and the pressure of generation is referred to as diastolic pressure, is called low pressure.
When sphygmomanometer is tested every time, two pressure values of systolic pressure and diastolic pressure, each measurement knot of blood pressure can be measured
Fruit is all by the peak and minimum of diastolic pressure, two value compositions of systolic pressure, that is, usually said blood pressure.
Sphygmomanometer is received after M group data values, and maximum diastolic pressure and minimum diastolic pressure are selected from M group data values, is judged
Whether both differences are less than preset value R1；
Sphygmomanometer is received after M group data values, and maximum collapse pressure and minimum of contraction pressure are selected from M group data values, is judged
Whether both differences are less than preset value R2；
If above-mentioned two judged result is all yes, the fluctuation of M group data values is within a preset range；
Receive after M group data values, judge in every group of data, whether within a preset range the deviation of pulse frequency value, calculates public
Formula is as follows：
| simulation pulse frequency value-test pulse frequency value | * correction factors<=preset value R3.
Wherein, when simulation pulse frequency value is that sphygmomanometer carries out simulation test, the pulse frequency value that simulator is simulated；Test pulse frequency value
For the pulse frequency value obtained after sphygmomanometer simulation test, correction factor is to be manually set and adjustable constant.
If the test pulse frequency value that test is obtained every time can within a preset range, the deviation of M group data values is default
In the range of.
In actual application, user can also judge to make suitably modified in this step to the deviation of pulse frequency value.Lift
Example explanation：If testing 10 times and obtaining namely 10 pulse frequency values of 10 groups of data values.So it could be arranged to：10 arteries and veins
There are X (X in rate value<=10) individual deviation is all not more than preset value R3, then judge the deviation of M group data values in preset range
It is interior.
If the fluctuation of M group data values and deviation are all within a preset range, step S203 is performed；
If the fluctuation of M group data values and deviation are not all within a preset range, step S206 is performed.
S203, calculates the experimental standard deviation value of M group data values；
Here method is properly termed as range method, and the concept of range method is：It is right under the conditions of repeated condition or repdocutbility
The maximum and minimum value sum that measured object is done in multiple independent observation, measurement result are referred to as extreme difference, can estimate quilt
Measurement object is close on the premise of normal distribution, and experimental standard deviation can be evaluated by following formula.
Experiment with computing standard deviation value：Experimental standard deviation value=(maximum pressure value-minimum pressure values)/extreme difference coefficient.
Because pressure value is divided into compression pressure and diastolic pressure, therefore this step calculation formula can also be divided into two：
Experimental standard deviation value 1=(maximum collapse pressure-minimum of contraction pressure)/extreme difference coefficient；
Experimental standard deviation value 2=(maximum diastolic pressure-minimum diastolic pressure)/extreme difference coefficient；
Wherein, systolic pressure, the difference between diastolic pressure maximum and minimum value is calculated in S202.
Extreme difference coefficient is to table look-up to learn, its value is relevant with pendulous frequency M, specifically may refer to national measurement technical specification.
Whether S204, judgment experiment standard deviation value is not more than predetermined deviation value；
A deviation is preset, is compared with experimental standard deviation value.If experimental standard deviation value is not more than
Predetermined deviation value, performs step S205；If experimental standard deviation value is more than predetermined deviation value, step S206 is performed.
S205, test passes；Here qualified refers to sphygmomanometer test passes in this flow, it may be necessary to repeatedly
This flow is performed, comprehensive multiple test result could finally judge whether sphygmomanometer stability is qualified.
S206, test is interrupted；Test interruption does not necessarily mean that sphygmomanometer stability is unqualified, the equipment in test process
Sensitivity, the various external causes such as simulator error may all cause test to be interrupted, it may be necessary to this flow is performed a plurality of times, comprehensive multiple
As a result it could finally judge whether sphygmomanometer stability is qualified.
Fig. 3 is refer to, is another flow chart of sphygmomanometer stability test method in the embodiment of the present invention, it can be wrapped
Include following basic step：
S301, it is N to preset full test number of times
S302, control sphygmomanometer is tested, and receives data value；
Once test instruction is sent to sphygmomanometer, the one group of data value returned after sphygmomanometer analogue measurement is received.
Within a preset range whether S303, the fluctuation of analyze data value and deviation；
Receive after one group of data value, whether within a preset range to judge the pressure value fluctuation of blood pressure in data value.This sentence
Words are referred to：The difference selected maximum and minimum value, judge maximum and minimum value in all pressure values measured
Whether some preset value is less than.
If this is the M times test, maximum pressure value and minimum pressure values are selected in the M group pressure values obtained,
Judge whether the difference of maximum and minimum value is less than some preset value.Illustrate：If this is the 5th test, then,
Maximum and minimum value are selected in the pressure value that 1,2,3,4,5 measurements are obtained and are calculated.Wherein, pressure value is divided into diastole
Statement had been done in pressure and systolic pressure, S102.
It should be noted that when this is measured as first time, it is not necessary to judge in data value pressure value fluctuation whether
Within a preset range.After each measurement of first time, it is required for judging the pressure value fluctuation in data value whether default
In the range of.
Sphygmomanometer is received after M group data values, and maximum diastolic pressure and minimum diastolic pressure are selected from M group data values, is judged
Whether both differences are less than preset value R1；
Sphygmomanometer is received after M group data values, and maximum collapse pressure and minimum of contraction pressure are selected from M group data values, is judged
Whether both differences are less than preset value R2；
If above-mentioned two judged result is all yes, the fluctuation of M group data values is within a preset range；
Receive after M group data values, judge in every group of data, whether within a preset range the deviation of pulse frequency value, calculates public
Formula is as follows：
| simulation pulse frequency value-test pulse frequency value | * correction factors<=preset value R3.Here determination methods, and S102 institutes
State identical.
If the fluctuation of data value and deviation are all within a preset range, step S304 is performed；
If the fluctuation of data value and deviation are not all within a preset range, step S308 is performed.
S304, judges whether testing time reaches n times；
If testing time reaches n times, step S305 is performed；
If testing time does not reach n times, step S302 to step S304 is performed repeatedly.
S305, calculates the experimental standard deviation value of N group data values,
As can be seen that when only testing time reaches n-th, can just proceed to step S305, if before n-th,
Certain fluctuation once tested and deviation within a preset range, then do not terminate test directly, will not proceed to step S305.
The calculation of this step experimental standard deviation value is identical with described in S103.
Whether S306, experimental standard deviation value is less than predetermined deviation value；
A deviation is preset, is compared with experimental standard deviation value.If experimental standard deviation value is not more than
Predetermined deviation value, performs step S307；If experimental standard deviation value is more than predetermined deviation value, step S308 is performed.
S307, test passes；It is identical with described in S106.
S308, test is interrupted；It is identical with described in S107.
In a kind of preferred embodiment, the test data and result of calculation that are obtained during stability test can be entered
Row storage, in order to subsequently indicate the specific data for inquiring about sphygmomanometer according to lot number etc..The data of storage include but is not limited to：Often
Diastolic pressure and systolic pressure that secondary test is obtained, the pulse frequency value that test is obtained every time calculate obtained pressure value difference, every time every time
Calculate obtained pulse frequency value deviation.The experimental standard deviation value finally calculated.
Storage can be not limited to be locally stored or remotely store in any position.
Fig. 4 is refer to, is a kind of schematic diagram of sphygmomanometer stability test device in the embodiment of the present invention, including：First
The judge module 402 of judge module 401 and second.
First judge module 401：Control sphygmomanometer to be tested to carry out M test, passed back after judging sphygmomanometer simulation test
M group data values fluctuation and deviation whether within a preset range；Wherein, M is the numerical value not less than 2.
Second judge module 402：If the fluctuation of M group data values and deviation are within a preset range, M group data values are calculated
Experimental standard deviation value；If experimental standard deviation value is not more than predetermined deviation value, determine that the sphygmomanometer to be tested is stable
Property is qualified.
Fig. 5 is refer to, is a kind of schematic diagram of sphygmomanometer system for testing stability in the embodiment of the present invention, including：First
Judge module 501, the second judge module 502 and analog module 503.
First judge module 501：Control sphygmomanometer to be tested to carry out M test, passed back after judging sphygmomanometer simulation test
M group data values fluctuation and deviation whether within a preset range；Wherein, M is the numerical value not less than 2.
Second judge module 502：If the fluctuation of M group data values and deviation are within a preset range, M group data values are calculated
Experimental standard deviation value；If experimental standard deviation value is not more than predetermined deviation value, determine that the sphygmomanometer to be tested is stable
Property is qualified.
Analog module 503：It is connected with sphygmomanometer to be tested, blood pressure or pulse for simulating human body.
Fig. 6 is refer to, is another schematic diagram of sphygmomanometer system for testing stability in the embodiment of the present invention, including：The
One judge module 601, the second judge module 602, analog module 603 and memory module 604.
First judge module 601：Control sphygmomanometer to be tested to carry out M test, passed back after judging sphygmomanometer simulation test
M group data values fluctuation and deviation whether within a preset range；Wherein, M is the numerical value not less than 2.
Second judge module 602：If the fluctuation of M group data values and deviation are within a preset range, M group data values are calculated
Experimental standard deviation value；If experimental standard deviation value is not more than predetermined deviation value, determine that the sphygmomanometer to be tested is stable
Property is qualified.
Analog module 603：It is connected with sphygmomanometer to be tested, blood pressure or pulse for simulating human body.
Memory module 604：It is connected with control module, for receiving and storing test data and result of calculation.
In the first judge module of the present embodiment 601, the M group data values for judging to pass back after sphygmomanometer simulation test
Within a preset range whether fluctuation and deviation, specifically include：
Maximum diastolic pressure and minimum diastolic pressure are selected from M group data values, judges whether both differences are less than preset value R1；
Maximum collapse pressure and minimum of contraction pressure are selected from M group data values, judges whether both differences are less than preset value R2；
If above-mentioned judged result is all yes, the fluctuation of M group data values is within a preset range；
Judge whether following condition is set up：
| simulation pulse frequency value-test pulse frequency value | * correction factors<=preset value R3；
Wherein, when simulation pulse frequency value is that sphygmomanometer carries out simulation test, the pulse frequency value that simulator is simulated；Test pulse frequency value
For the pulse frequency value obtained after sphygmomanometer simulation test, correction factor is to be manually set and adjustable constant；
If the test pulse frequency value that test is obtained every time can set up condition, the deviation of M group data values is in default model
In enclosing.
In the second judge module of the present embodiment 602, the experimental standard deviation value of the calculating M group data values, specific bag
Include：
Experiment with computing standard deviation value：Experimental standard deviation value=(maximum pressure value-minimum pressure values)/extreme difference coefficient；
Wherein, the maximum pressure value and minimum pressure values are selected from M group data values, and the extreme difference coefficient is according to test
Number of times is determined.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Divide mutually referring to what each embodiment was stressed is the difference with other embodiment.It is real especially for device
Apply for example, because it is substantially similar to embodiment of the method, so describing fairly simple, related part is referring to embodiment of the method
Part explanation.Device embodiment described above is only schematical, wherein described illustrate as separating component
Module can be or may not be physically separate, the part shown as module can be or may not be
Physical location, you can with positioned at a place, or can also be distributed on multiple NEs.Can be according to the actual needs
Some or all of module therein is selected to realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying
In the case of creative work, you can to understand and implement.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of protection of the invention.
Claims (10)
1. a kind of sphygmomanometer stability test method, it is characterised in that methods described includes：
Control sphygmomanometer to be tested to carry out M test, judge the fluctuation of M group data values passed back after sphygmomanometer simulation test with it is inclined
Within a preset range whether difference；Wherein, M is the numerical value not less than 2；
If within a preset range, calculating the experimental standard deviation value of M group data values；If experimental standard deviation value is not more than
Predetermined deviation value, determines the sphygmomanometer qualified stability to be tested.
2. according to the method described in claim 1, it is characterised in that pre-set full test times N, total time of actual test
Number M is advance uncertain numerical value；
The control sphygmomanometer to be tested carries out M test, judges the fluctuation of M group data values passed back after sphygmomanometer simulation test
With deviation whether within a preset range, including：
Sphygmomanometer to be tested is controlled gradually to be tested, and each group of data value passed back after gradually being tested；
Wherein, after the completion of ith test, within a preset range whether the fluctuation for the preceding i groups data that judgement is passed back and deviation；If
Always testing time M is not up to default full test times N within a preset range and currently, then continues i+1 time test, directly
To M=N, determine M group data fluctuation and deviation within a preset range；
I=1,2,3 ... M.
3. according to the method described in claim 1, it is characterised in that the total degree M of the actual test is predetermined number
Value；
The control sphygmomanometer to be tested carries out M test, judges the fluctuation of M group data values passed back after sphygmomanometer simulation test
With deviation whether within a preset range, including：
The M group data values that control sphygmomanometer completes M test and passed back after being tested；
Determine M group data fluctuation and deviation within a preset range.
4. according to the method described in claim 1, it is characterised in that the data value, including pressure value and pulse frequency value.
5. according to the method described in claim 1, it is characterised in that the fluctuation for judging M group data values and deviation whether
In preset range, including：
Maximum diastolic pressure and minimum diastolic pressure are selected from M group data values, judges whether both differences are less than preset value R1；
Maximum collapse pressure and minimum of contraction pressure are selected from M group data values, judges whether both differences are less than preset value R2；
If above-mentioned judged result is all yes, the fluctuation of M group data values is within a preset range；
Judge whether following condition is set up：
| simulation pulse frequency value-test pulse frequency value | * correction factors<=preset value R3；
Wherein, when simulation pulse frequency value is that sphygmomanometer carries out simulation test, the pulse frequency value that simulator is simulated；It is blood to test pulse frequency value
The pulse frequency value obtained after pressure meter simulation test, correction factor is to be manually set and adjustable constant；
If the test pulse frequency value that test is obtained every time can set up condition, the deviation of M group data values is within a preset range.
6. according to the method described in claim 1, it is characterised in that the experimental standard deviation value of the calculating M group data values, wrap
Include：
Experiment with computing standard deviation value：Experimental standard deviation value=(maximum pressure value-minimum pressure values)/extreme difference coefficient；
Wherein, the maximum pressure value and minimum pressure values are selected from M group data values, and the extreme difference coefficient is according to testing time
It is determined that.
7. the method according to claim any one of 1-6, it is characterised in that also include：
The test data and result of calculation that are obtained during stability test are stored.
8. a kind of sphygmomanometer stability test device, it is characterised in that described device includes：
First judge module：Control sphygmomanometer to be tested to carry out M test, judge the M group numbers passed back after sphygmomanometer simulation test
Within a preset range whether fluctuation and deviation according to value；Wherein, M is the numerical value not less than 2；
Second judge module：If the fluctuation of M group data values and deviation are within a preset range, the experiment of M group data values is calculated
Standard deviation value；If experimental standard deviation value is not more than predetermined deviation value, the sphygmomanometer qualified stability to be tested is determined.
9. a kind of sphygmomanometer system for testing stability, it is characterised in that the system includes：Analog module and such as claim 8
Described sphygmomanometer stability test device；
The analog module：It is connected with sphygmomanometer to be tested, blood pressure or pulse for simulating human body.
10. a kind of sphygmomanometer system for testing stability, it is characterised in that the system includes：Analog module, memory module and such as
Sphygmomanometer stability test device described in claim 8；
The analog module：It is connected with sphygmomanometer to be tested, blood pressure or pulse for simulating human body；
The memory module：It is connected with control module, for receiving and storing test data and result of calculation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710457363.1A CN107157460B (en) | 2017-06-16 | 2017-06-16 | Method, device and system for testing stability of sphygmomanometer |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710457363.1A CN107157460B (en) | 2017-06-16 | 2017-06-16 | Method, device and system for testing stability of sphygmomanometer |
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| Publication Number | Publication Date |
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| CN107157460A true CN107157460A (en) | 2017-09-15 |
| CN107157460B CN107157460B (en) | 2020-10-27 |
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| CN201710457363.1A Active CN107157460B (en) | 2017-06-16 | 2017-06-16 | Method, device and system for testing stability of sphygmomanometer |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107736882A (en) * | 2017-10-19 | 2018-02-27 | 广州视源电子科技股份有限公司 | Blood manometer accuracy method of testing, device, system and storage medium device |
| CN108571997A (en) * | 2017-12-26 | 2018-09-25 | 深圳市鼎阳科技有限公司 | A kind of method and apparatus that measured point is steadily contacted in detection probe |
| CN110840430A (en) * | 2018-08-21 | 2020-02-28 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN112732543A (en) * | 2021-01-08 | 2021-04-30 | 支付宝(杭州)信息技术有限公司 | Method, device, equipment and medium for testing task time consumption |
| CN113127276A (en) * | 2021-03-10 | 2021-07-16 | 青岛歌尔智能传感器有限公司 | Product testing method, device and system |
| CN114442591A (en) * | 2022-01-11 | 2022-05-06 | 中国华能集团清洁能源技术研究院有限公司 | Method, system and medium for testing I/O card channel precision |
| CN117100240A (en) * | 2023-10-23 | 2023-11-24 | 广州逆熵电子科技有限公司 | Full-automatic blood pressure simulation test method and device based on machine vision |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102202567A (en) * | 2011-04-29 | 2011-09-28 | 华为技术有限公司 | Error detection method and apparatus of electronicsphygmomanometer and electronicsphygmomanometer |
| AU2014203756A1 (en) * | 2010-07-23 | 2014-07-24 | Yury Grotov | Blood pressure monitor calibration |
-
2017
- 2017-06-16 CN CN201710457363.1A patent/CN107157460B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2014203756A1 (en) * | 2010-07-23 | 2014-07-24 | Yury Grotov | Blood pressure monitor calibration |
| CN102202567A (en) * | 2011-04-29 | 2011-09-28 | 华为技术有限公司 | Error detection method and apparatus of electronicsphygmomanometer and electronicsphygmomanometer |
Non-Patent Citations (3)
| Title |
|---|
| 吴丹等: "无创自动测量血压计静态压力示值误差测量值的不确定度评定", 《计量与测试技术》 * |
| 朱俊杰等: "《无创自动测量血压计》", 30 September 2010, 中国计量出版社 * |
| 鲍勇等: "《社区医学调查研究》", 31 March 2005, 上海科学技术出版社 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107736882A (en) * | 2017-10-19 | 2018-02-27 | 广州视源电子科技股份有限公司 | Blood manometer accuracy method of testing, device, system and storage medium device |
| CN108571997A (en) * | 2017-12-26 | 2018-09-25 | 深圳市鼎阳科技有限公司 | A kind of method and apparatus that measured point is steadily contacted in detection probe |
| CN110840430A (en) * | 2018-08-21 | 2020-02-28 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN110840430B (en) * | 2018-08-21 | 2022-09-13 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN112732543A (en) * | 2021-01-08 | 2021-04-30 | 支付宝(杭州)信息技术有限公司 | Method, device, equipment and medium for testing task time consumption |
| CN113127276A (en) * | 2021-03-10 | 2021-07-16 | 青岛歌尔智能传感器有限公司 | Product testing method, device and system |
| CN114442591A (en) * | 2022-01-11 | 2022-05-06 | 中国华能集团清洁能源技术研究院有限公司 | Method, system and medium for testing I/O card channel precision |
| CN114442591B (en) * | 2022-01-11 | 2024-01-30 | 中国华能集团清洁能源技术研究院有限公司 | Method, system and medium for testing channel precision of I/O card |
| CN117100240A (en) * | 2023-10-23 | 2023-11-24 | 广州逆熵电子科技有限公司 | Full-automatic blood pressure simulation test method and device based on machine vision |
| CN117100240B (en) * | 2023-10-23 | 2024-03-29 | 广州逆熵电子科技有限公司 | Full-automatic blood pressure simulation test method and device based on machine vision |
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