CN109646775A - Parameter adjusting method, device and the medical breathing apparatus of medical breathing apparatus - Google Patents
Parameter adjusting method, device and the medical breathing apparatus of medical breathing apparatus Download PDFInfo
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- CN109646775A CN109646775A CN201811630632.0A CN201811630632A CN109646775A CN 109646775 A CN109646775 A CN 109646775A CN 201811630632 A CN201811630632 A CN 201811630632A CN 109646775 A CN109646775 A CN 109646775A
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- breathing apparatus
- fuzzy class
- medical breathing
- fuzzy
- deviation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/33—Controlling, regulating or measuring
Abstract
The present invention proposes the parameter adjusting method, device and medical breathing apparatus of a kind of medical breathing apparatus, method includes the following steps: determining corresponding first fuzzy class of deviation of medical breathing apparatus current Stress index value and preset value；The second fuzzy class corresponding to the regulated quantity of the end-expiratory positive pressure of medical breathing apparatus is determined according to the first fuzzy class；The practical adjustments amount to medical breathing apparatus is determined according to the second fuzzy class；It is adjusted according to end-expiratory positive pressure of the practical adjustments amount to medical breathing apparatus.The case where end-expiratory positive pressure is rationally adjusted, can be effectively applicable to various patients the present invention is based on fuzzy control theory, and degree of regulation is high, and adjustment speed is fast, to be conducive to reach good clinical effectiveness.
Description
Technical field
The present invention relates to field of medical technology, in particular to a kind of parameter adjusting method of medical breathing apparatus, device and
Medical breathing apparatus.
Background technique
When medical breathing apparatus (such as ventilator, Anesthesia machine) supports sufferer breathing, it is thus necessary to determine that the sufferer is most suitable
PEEP (positive end expiratory pressure, end-expiratory positive pressure) is as parameter is supported, if PEEP is improper,
Can then a degree of damage be caused to the lung of sufferer.
Method main aerobic legal, oxygen the conveying method, static pressure-volume of PEEP are commonly adjusted in clinic at present
(P-V) the low bathmometry of curve, static state P-V curve expiration branch bathmometry, CT measurement recruited volume method and maximum compliance method
Deng.But all there is certain defect in these methods, i.e., carrying out the factors such as difficulty because of complicated for operation, bedside can not open routine clinical
Exhibition.Related personnel's discovery, by adjusting Lung stress index, corresponding PEEP is as most preferably when Lung stress index is adjusted to 1
The selection criteria of PEEP keeps the selection of best PEEP more direct and objective.The method is relatively simple, clinic can measure at any time,
Guidance, titration PEEP selection can clinically play bigger protective effect for guidance adjustment PEEP.
But since the lung situation of clinically different patients is different, individual patient lung situation is complicated, treatment sufferer doctor's
Situations such as average level is not high, high-quality doctor's shortage of resources and unbalanced distribution, leads in some cases that Lung stress index can not
Be refined and be adjusted to numerical value 1, at the same the corresponding relationship between Lung stress index and PEEP be it is nonlinear, Lung stress index not
In the case where 1, it is difficult to determine its accurate mathematical relationship, not high so as to cause degree of regulation, adjustment speed is slow, not can guarantee
Clinical effectiveness.
Summary of the invention
The present invention is directed at least solve one of above-mentioned technical problem.
For this purpose, the first purpose of this invention is to propose a kind of parameter adjusting method of medical breathing apparatus, this method
The case where end-expiratory positive pressure is rationally adjusted, can be effectively applicable to various patients based on fuzzy control theory, and adjust
It is high to save precision, adjustment speed is fast, to be conducive to reach good clinical effectiveness.
Second object of the present invention is to propose a kind of parameter adjustment control of medical breathing apparatus.
Third object of the present invention is to propose a kind of medical breathing apparatus.
To achieve the goals above, the embodiment of first aspect present invention proposes a kind of parameter tune of medical breathing apparatus
Section method, comprising the following steps: determine that the deviation of the current Stress index value of the medical breathing apparatus and preset value is corresponding
First fuzzy class；The regulated quantity pair to the end-expiratory positive pressure of the medical breathing apparatus is determined according to first fuzzy class
The second fuzzy class answered；The practical adjustments amount to the medical breathing apparatus is determined according to second fuzzy class；According to
The end-expiratory positive pressure of the medical breathing apparatus is adjusted in the practical adjustments amount.
The parameter adjusting method of medical breathing apparatus according to an embodiment of the present invention is based on fuzzy control theory, to stretching
Index value and the deviation of preset value are blurred, and determine the first fuzzy class, determine that regulated quantity is corresponding by the first fuzzy class
The second fuzzy class, and then the second fuzzy class is refined, practical adjustments amount is obtained, according to practical adjustments amount to doctor
The end-expiratory positive pressure for treating breathing apparatus is adjusted, and keeps end-expiratory positive pressure more reasonable, can be based on fuzzy control theory to exhaling
The case where gas end positive pressure is rationally adjusted, can be effectively applicable to various patients, and degree of regulation is high, and adjustment speed is fast,
To be conducive to reach good clinical effectiveness.
In addition, the parameter adjusting method of medical breathing apparatus according to the above embodiment of the present invention can also have it is following attached
The technical characteristic added:
In some instances, determine that the deviation of the current Stress index value of the medical breathing apparatus and preset value is corresponding
First fuzzy class, comprising: according to the current Stress index value of preset quantizing factor and the medical breathing apparatus and preset
Corresponding first fuzzy class of the deviation is calculated in the deviation of value.
In some instances, it is determined according to first fuzzy class to the end-expiratory positive pressure of the medical breathing apparatus
Corresponding second fuzzy class of regulated quantity, comprising: according to deviation subordinating degree function, regulated quantity subordinating degree function and two dimension fuzzy control
Device processed obtains hierarchical relationship mapping table, wherein in the hierarchical relationship mapping table comprising the corresponding fuzzy class of multiple deviations and
The matching corresponding fuzzy class of multiple regulated quantitys respectively, the corresponding fuzzy class of the multiple deviation includes described first
Fuzzy class, the corresponding fuzzy class of the multiple regulated quantity includes second fuzzy class；It is fuzzy etc. according to described first
Grade searches second fuzzy class to match with first fuzzy class from the hierarchical relationship mapping table.
In some instances, the practical adjustments determined according to second fuzzy class to the medical breathing apparatus
Amount, comprising: according to preset scale factor and second fuzzy class, the practical tune of the medical breathing apparatus is calculated
Section amount.
In some instances, the preset value is 1.
To achieve the goals above, the embodiment of second aspect of the present invention proposes a kind of parameter tune of medical breathing apparatus
Regulating device, comprising: the first determining module, for determining the inclined of the current Stress index value of the medical breathing apparatus and preset value
Corresponding first fuzzy class of difference；Second determining module breathes the medical treatment for being determined according to first fuzzy class
Corresponding second fuzzy class of the regulated quantity of the end-expiratory positive pressure of equipment；Third determining module, for fuzzy according to described second
Grade determines the practical adjustments amount to the medical breathing apparatus；Adjustment module is used for according to the practical adjustments amount to described
The end-expiratory positive pressure of medical breathing apparatus is adjusted.
The parameter adjustment control of medical breathing apparatus according to an embodiment of the present invention is based on fuzzy control theory, to stretching
Index value and the deviation of preset value are blurred, and determine the first fuzzy class, determine that regulated quantity is corresponding by the first fuzzy class
The second fuzzy class, and then the second fuzzy class is refined, practical adjustments amount is obtained, according to practical adjustments amount to doctor
The end-expiratory positive pressure for treating breathing apparatus is adjusted, and keeps end-expiratory positive pressure more reasonable, can be based on fuzzy control theory to exhaling
The case where gas end positive pressure is rationally adjusted, can be effectively applicable to various patients, and degree of regulation is high, and adjustment speed is fast,
To be conducive to reach good clinical effectiveness.
In addition, the parameter adjustment control of medical breathing apparatus according to the above embodiment of the present invention can also have it is following attached
The technical characteristic added:
In some instances, first determining module is used for: being set according to preset quantizing factor and the medical treatment breathing
The deviation of standby current Stress index value and preset value, is calculated corresponding first fuzzy class of the deviation.
In some instances, second determining module is used for: according to deviation subordinating degree function, regulated quantity subordinating degree function
Hierarchical relationship mapping table is obtained with two-dimensional fuzzy controller, wherein corresponding comprising multiple deviations in the hierarchical relationship mapping table
Fuzzy class and the matching corresponding fuzzy class of multiple regulated quantitys respectively, the corresponding fuzzy class of the multiple deviation
Including first fuzzy class, the corresponding fuzzy class of the multiple regulated quantity includes second fuzzy class；According to institute
The first fuzzy class is stated, second mould to match with first fuzzy class is searched from the hierarchical relationship mapping table
Paste grade.
In some instances, the third determining module is used for: obscured according to preset scale factor and described second etc.
Grade, is calculated the practical adjustments amount of the medical breathing apparatus.
To achieve the goals above, the embodiment of third aspect present invention proposes a kind of medical breathing apparatus, including this
Invent the parameter adjustment control of medical breathing apparatus described in above-mentioned second aspect embodiment.
Medical breathing apparatus according to an embodiment of the present invention can close end-expiratory positive pressure based on fuzzy control theory
The case where reason is adjusted, and can be effectively applicable to various patients, and degree of regulation is high, and adjustment speed is fast, to be conducive to reach good
Good clinical effectiveness.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, in which:
Fig. 1 is the flow chart of the parameter adjusting method of medical breathing apparatus according to an embodiment of the invention；
Fig. 2 is the structural block diagram of the parameter adjustment control of medical breathing apparatus according to an embodiment of the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower",
The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is
It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description of the present invention and simplification of the description, rather than instruction or dark
Show that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as pair
Limitation of the invention.In addition, term " first ", " second " are used for description purposes only, it is not understood to indicate or imply opposite
Importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
The parameter adjusting method, device and doctor of medical breathing apparatus according to an embodiment of the present invention are described below in conjunction with attached drawing
Treat breathing apparatus.
Fig. 1 is the flow chart of the parameter adjusting method of medical breathing apparatus according to an embodiment of the invention.Such as Fig. 1 institute
Show, method includes the following steps:
Step S1: determine that the deviation corresponding first of the current Stress index value of medical breathing apparatus and preset value obscures
Grade.Wherein, preset value is, for example, 1.In other words, the deviation for calculating current Stress index value and 1 first, is then based on fuzzy
Control theory is blurred the deviation, obtains the corresponding blurring grade of the deviation.
In a particular embodiment, current Stress index value and 1 deviation value range generally but be not limited to-
Between 0.20 to 0.20, customized division is carried out according to fuzzy class, positive and negative N number of grade, i.e. (- N ,-N-1 ,-N- can be divided into
2 ... ..., -1,0,1 ... ..., N-2, N-1, N), deviation levels are blurred, deviation e fuzzy set is customized be negative it is big,
Zero, honest；Or it is customized be negative it is big, negative in, zero, it is center, honest；Or it is customized be negative in, bear it is small, zero, it is just small, just
In；Or be customized for honest, center, it is just small, zero, bear in small, negative, be negative big, and degree of membership of the deviation in fuzzy set is set,
Form deviation degree of membership letter.It should be noted that deviation subordinating degree function is in the nature the subordinating degree function in FUZZY ALGORITHMS FOR CONTROL,
Correlation function defines the relevant explanation explanation referred in FUZZY ALGORITHMS FOR CONTROL data.
Specifically, in one embodiment of the invention, it determines the current Stress index value of medical breathing apparatus and presets
Corresponding first fuzzy class of the deviation of value, comprising: current stretching refers to according to preset quantizing factor and medical breathing apparatus
Corresponding first fuzzy class of deviation is calculated in the deviation of numerical value and preset value.More specifically, by preset quantizing factor
And the product of deviation is as corresponding first fuzzy class of the deviation.For example, deviation e=0.15, preset quantizing factor Ke=
30, then the first fuzzy class=0.15 × 30=4.5, is 5 after rounding, i.e. the first fuzzy class is 5.
Wherein, preset quantizing factor is according to the absolute value and deviation value of the greatest measure of the corresponding fuzzy class of deviation
The absolute value of the limit value of range determines, more specifically, by the absolute value of the greatest measure of the corresponding fuzzy class of deviation and partially
The quotient of the absolute value of the limit value of poor value range is as preset quantizing factor.For example, in example as described above, deviation
The greatest measure of corresponding fuzzy class is 6 or -6, and taking its absolute value is 6, and the limit value -0.2 of deviation value range or 0.2 takes
Its absolute value is 0.2, then corresponding preset quantizing factor Ke=6/0.2=30.For another example, it is assumed that deviation is corresponding fuzzy etc.
The absolute value of the greatest measure of grade is 8, and the absolute value of the value range limit value of deviation is 0.25, then corresponding preset quantization because
Sub- Ke=8/0.25=32.It is only the method for determination of the preset quantizing factor of exemplary illustration herein, no longer citing repeats one by one.
Step S2: corresponding to the regulated quantity of the end-expiratory positive pressure of medical breathing apparatus the is determined according to the first fuzzy class
Two fuzzy class.
In one embodiment of the invention, the end-expiratory positive pressure to medical breathing apparatus is determined according to the first fuzzy class
Corresponding second fuzzy class of regulated quantity, comprising: according to deviation subordinating degree function, adjust subordinating degree function and two dimension fuzzy control
Device processed obtains hierarchical relationship mapping table, wherein includes the corresponding fuzzy class of multiple deviations and difference in hierarchical relationship mapping table
The matching corresponding fuzzy class of multiple regulated quantitys, the corresponding fuzzy class of multiple deviations includes the first fuzzy class, more
The corresponding fuzzy class of a regulated quantity includes the second fuzzy class, in turn, according to the first fuzzy class, from hierarchical relationship mapping table
The second fuzzy class that middle lookup matches with the first fuzzy class.
In specific example, obtained according to deviation subordinating degree function, regulated quantity subordinating degree function and two-dimensional fuzzy controller
The process of hierarchical relationship mapping table is for example summarized are as follows: deviation subordinating degree function and regulated quantity subordinating degree function are input to two-dimentional mould
In fuzzy controllers, two-dimensional fuzzy controller is according to default fuzzy control rule to deviation subordinating degree function and regulated quantity degree of membership letter
Number carries out matrix calculating, finally obtains hierarchical relationship mapping table.It should be noted that two-dimensional fuzzy controller is fuzzy control reason
The common two dimension fuzzy computation model in, the control rule based on setting, can be realized deviation subordinating degree function and regulated quantity
The matrix of subordinating degree function calculates, and then obtains corresponding hierarchical relationship mapping table.
It should be noted that adjusting subordinating degree function is in the nature the subordinating degree function in FUZZY ALGORITHMS FOR CONTROL, correlation function
Definition refers to the relevant explanation explanation in FUZZY ALGORITHMS FOR CONTROL data.
Step S3: the practical adjustments amount to medical breathing apparatus is determined according to the second fuzzy class.
Specifically, in one embodiment of the invention, the reality to medical breathing apparatus is determined according to the second fuzzy class
Border regulated quantity, comprising: according to preset scale factor and the second fuzzy class, the practical adjustments of medical breathing apparatus are calculated
Amount.More specifically, using the product of preset scale factor and the second fuzzy class as practical adjustments amount.For example, preset
Scale factor is 0.3, and the second fuzzy class is 6, then practical adjustments amount is 0.3 × 6=1.8, that is, indicates to need to increase PEEP
Add 1.8cmH2O；For another example, preset scale factor is 0.3, and the second fuzzy class is -6, then practical adjustments amount be 0.3 ×
(- 6)=- 1.8 indicate to need to reduce PEEP into 1.8cmH2O, no longer citing repeats one by one herein.
Wherein, preset scale factor is according to the absolute value and regulated quantity of the greatest measure of the corresponding fuzzy class of regulated quantity
The absolute value of the limit value of value range determines, more specifically, by the absolute value and regulated quantity of the limit value of regulated quantity value range
The quotient of the greatest measure of corresponding fuzzy class is as preset scale factor.For example, it in foregoing example, adjusts
The greatest measure for measuring corresponding fuzzy class is 6 or -6, and taking its absolute value is 6, and the limit value -2 of regulated quantity value range or 2 takes
Its absolute value is 2, then corresponding preset scale factor K u=2/6=1/3.For another example, it is assumed that regulated quantity is corresponding fuzzy etc.
The absolute value of the greatest measure of grade is 8, and the absolute value of the value range limit value of regulated quantity is 2.5, then corresponding preset quantization
Factor Ku=2.5/8=0.31.It is only the method for determination of the preset quantizing factor of exemplary illustration herein, no longer citing is superfluous one by one
It states.
Step S4: it is adjusted according to end-expiratory positive pressure of the practical adjustments amount to medical breathing apparatus.Specifically, i.e. root
It carries out increasing or decreasing adjusting according to end-expiratory positive pressure of the practical adjustments amount obtained above to medical breathing apparatus, to obtain more
Reasonable end-expiratory positive pressure PEEP, preferably to carry out lung preversation to patient.
For example, for example, being obtained according to Stress index value and 1 actual deviation e=-0.15 multiplied by the quantizing factor 30 of e
To the first fuzzy class E, the i.e. E=-0.15 × 30=-4.5 of deviation e, being rounded is -5, then according to degree of membership relation table, is pressed
It is calculated according to control rule, obtains hierarchical relationship mapping table, it is defeated to get arriving to obtain U=-6 further according to hierarchical relationship mapping table
The second fuzzy class of regulated quantity is -6 out, obtains the exact value of regulated quantity, u=Ku*U=1/3* multiplied by scale factor 1/3
PEEP after the regulated quantity u for determining PEEP, is reduced 2cmH2O by (- 6)=- 2.It should be noted that intermediate calculating derivation process
Completion is determined based on fuzzy control theory by relative program software.
Another example is: deviation e=-0.12, then the first fuzzy class E=-0.12*Ke=-3.6, being rounded is -4, according to inquiry
Hierarchical relationship mapping table obtains the second fuzzy class U=-4, then practical adjustments amount u=Ku*U=1/3* (- 4)=- 1.33, that is,
Current PE EP is reduced into 1.33cmH2O.
The parameter adjusting method of medical breathing apparatus according to an embodiment of the present invention is based on fuzzy control theory, to stretching
Index value and the deviation of preset value are blurred, and determine the first fuzzy class, determine that regulated quantity is corresponding by the first fuzzy class
The second fuzzy class, and then the second fuzzy class is refined, practical adjustments amount is obtained, according to practical adjustments amount to doctor
The end-expiratory positive pressure for treating breathing apparatus is adjusted, and keeps end-expiratory positive pressure more reasonable, can be based on fuzzy control theory to exhaling
The case where gas end positive pressure is rationally adjusted, can be effectively applicable to various patients, and degree of regulation is high, and adjustment speed is fast,
To be conducive to reach good clinical effectiveness.
Further embodiment of the present invention also proposed a kind of parameter adjustment control of medical breathing apparatus.
Fig. 2 is the structural block diagram of the parameter adjustment control of medical breathing apparatus according to an embodiment of the invention.Such as Fig. 2
Shown, the parameter adjustment control 100 of the medical breathing apparatus includes: the first determining module 110, the second determining module 120, third
Determining module 130 and adjustment module 140.
Wherein, the first determining module 110 is used to determine the inclined of the current Stress index value of medical breathing apparatus and preset value
Corresponding first fuzzy class of difference.Wherein, preset value is, for example, 1.In other words, current Stress index value and 1 is calculated first
Deviation, be then based on fuzzy control theory and the deviation be blurred, obtain the corresponding blurring grade of the deviation.
Specifically, in one embodiment of the invention, the first determining module 110 is used for: according to preset quantizing factor
And the deviation of the current Stress index value and preset value of medical breathing apparatus, corresponding first fuzzy class of deviation is calculated.
More specifically, using the product of preset quantizing factor and deviation as corresponding first fuzzy class of the deviation.For example, deviation
E=0.15, preset quantizing factor Ke=30, then the first fuzzy class=0.15 × 30=4.5, is 5 after rounding, i.e. the first mould
Pasting grade is 5.
Wherein, preset quantizing factor is according to the absolute value and deviation value of the greatest measure of the corresponding fuzzy class of deviation
The absolute value of the limit value of range determines, more specifically, by the absolute value of the greatest measure of the corresponding fuzzy class of deviation and partially
The quotient of the absolute value of the limit value of poor value range is as preset quantizing factor.For example, deviation corresponding fuzzy class
Greatest measure is 6 or -6, and taking its absolute value is 6, the limit value -0.2 of deviation value range or 0.2, and taking its absolute value is 0.2, then
Corresponding preset quantizing factor Ke=6/0.2=30.For another example, it is assumed that the greatest measure of the corresponding fuzzy class of deviation it is exhausted
It is 8 to value, the absolute value of the value range limit value of deviation is 0.25, then corresponding preset quantizing factor Ke=8/0.25=
32.It is only the method for determination of the preset quantizing factor of exemplary illustration herein, no longer citing repeats one by one.
Second determining module 120 is used to determine the tune to the end-expiratory positive pressure of medical breathing apparatus according to the first fuzzy class
Corresponding second fuzzy class of section amount.
Specifically, in one embodiment of the invention, the second determining module 120 is used for: according to deviation subordinating degree function,
It adjusts subordinating degree function and two-dimensional fuzzy controller obtains hierarchical relationship mapping table, and according to the first fuzzy class, closed from grade
It is the second fuzzy class searched in mapping table and matched with the first fuzzy class, wherein comprising more in hierarchical relationship mapping table
The corresponding fuzzy class of a deviation and the corresponding fuzzy class of multiple regulated quantitys matching respectively, the corresponding mould of multiple deviations
Pasting grade includes the first fuzzy class, and the corresponding fuzzy class of multiple regulated quantitys includes the second fuzzy class.In specific example,
The process example of hierarchical relationship mapping table is obtained according to deviation subordinating degree function, regulated quantity subordinating degree function and two-dimensional fuzzy controller
As summarized are as follows: deviation subordinating degree function and regulated quantity subordinating degree function are input in two-dimensional fuzzy controller, two dimension fuzzy control
Device processed carries out matrix calculating to deviation subordinating degree function and regulated quantity subordinating degree function according to default fuzzy control rule, final to obtain
To hierarchical relationship mapping table.It should be noted that two-dimensional fuzzy controller is common two dimension fuzzy meter in fuzzy control theory
Model is calculated, the control rule based on setting, the matrix that deviation subordinating degree function and regulated quantity subordinating degree function can be realized calculates,
And then obtain corresponding hierarchical relationship mapping table.
Third determining module 130 is used to determine the practical adjustments amount to medical breathing apparatus according to the second fuzzy class.
Specifically, in one embodiment of the invention, third determining module 130 is used for: according to preset scale factor
And second fuzzy class, the practical adjustments amount of medical breathing apparatus is calculated.More specifically, by preset scale factor and
The product of second fuzzy class is as practical adjustments amount.For example, preset scale factor is 0.3, the second fuzzy class is 6, then
Practical adjustments amount is 0.3 × 6=1.8, that is, indicates to need PEEP increasing 1.8cmH2O；For another example, preset scale factor
It is 0.3, the second fuzzy class is -6, then practical adjustments amount is 0.3 × (- 6)=- 1.8, that is, indicates to need to reduce PEEP
1.8cmH2O, no longer citing repeats one by one herein.
Wherein, preset scale factor is according to the absolute value and regulated quantity of the greatest measure of the corresponding fuzzy class of regulated quantity
The absolute value of the limit value of value range determines, more specifically, by the absolute value and regulated quantity of the limit value of regulated quantity value range
The quotient of the greatest measure of corresponding fuzzy class is as preset scale factor.For example, the corresponding fuzzy class of regulated quantity
Greatest measure be 6 or -6, taking its absolute value is 6, the limit value -2 of regulated quantity value range or 2, and taking its absolute value is 2, then phase
The preset scale factor K u=2/6=1/3 answered.For another example, it is assumed that the greatest measure of the corresponding fuzzy class of regulated quantity it is exhausted
It is 8 to value, the absolute value of the value range limit value of regulated quantity is 2.5, then corresponding preset quantizing factor Ku=2.5/8=
0.31.It is only the method for determination of the preset quantizing factor of exemplary illustration herein, no longer citing repeats one by one.
Adjustment module 140 according to end-expiratory positive pressure of the practical adjustments amount to medical breathing apparatus for being adjusted.Specifically
Ground is said, i.e., carries out increasing or decreasing adjusting according to end-expiratory positive pressure of the practical adjustments amount obtained above to medical breathing apparatus,
To obtain more reasonable end-expiratory positive pressure PEEP, preferably to carry out lung preversation to patient.
It should be noted that the specific implementation of the parameter adjustment control of the medical breathing apparatus of the embodiment of the present invention with
The specific implementation of the parameter adjusting method of the medical breathing apparatus of the embodiment of the present invention is similar, specifically refers to method part
Description, in order to reduce redundancy, details are not described herein again.
The parameter adjustment control of medical breathing apparatus according to an embodiment of the present invention is based on fuzzy control theory, to stretching
Index value and the deviation of preset value are blurred, and determine the first fuzzy class, determine that regulated quantity is corresponding by the first fuzzy class
The second fuzzy class, and then the second fuzzy class is refined, practical adjustments amount is obtained, according to practical adjustments amount to doctor
The end-expiratory positive pressure for treating breathing apparatus is adjusted, and keeps end-expiratory positive pressure more reasonable, can be based on fuzzy control theory to exhaling
The case where gas end positive pressure is rationally adjusted, can be effectively applicable to various patients, and degree of regulation is high, and adjustment speed is fast,
To be conducive to reach good clinical effectiveness.
Further embodiment of the present invention also proposed a kind of medical breathing apparatus, including any one above-mentioned reality of the present invention
Apply the parameter adjustment control of medical breathing apparatus described in example.
Medical breathing apparatus according to an embodiment of the present invention can close end-expiratory positive pressure based on fuzzy control theory
The case where reason is adjusted, and can be effectively applicable to various patients, and degree of regulation is high, and adjustment speed is fast, to be conducive to reach good
Good clinical effectiveness.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that: not
A variety of change, modification, replacement and modification can be carried out to these embodiments in the case where being detached from the principle of the present invention and objective, this
The range of invention is by claim and its equivalent limits.
Claims (10)
1. a kind of parameter adjusting method of medical breathing apparatus, which comprises the following steps:
Determine corresponding first fuzzy class of deviation of the current Stress index value of the medical breathing apparatus and preset value；
Corresponding to the regulated quantity of the end-expiratory positive pressure of the medical breathing apparatus second is determined according to first fuzzy class
Fuzzy class；
The practical adjustments amount to the medical breathing apparatus is determined according to second fuzzy class；
The end-expiratory positive pressure of the medical breathing apparatus is adjusted according to the practical adjustments amount.
2. the parameter adjusting method of medical breathing apparatus according to claim 1, which is characterized in that determine that the medical treatment is exhaled
Inhale corresponding first fuzzy class of deviation of equipment current Stress index value and preset value, comprising:
According to the deviation of preset quantizing factor and the medical breathing apparatus current Stress index value and preset value, calculate
To corresponding first fuzzy class of the deviation.
3. the parameter adjusting method of medical breathing apparatus according to claim 1 or 2, which is characterized in that according to described
One fuzzy class determines the second fuzzy class corresponding to the regulated quantity of the end-expiratory positive pressure of the medical breathing apparatus, comprising:
Hierarchical relationship mapping table is obtained according to deviation subordinating degree function, regulated quantity subordinating degree function and two-dimensional fuzzy controller,
In, the corresponding fuzzy class of multiple deviations and multiple regulated quantitys pair matching respectively are included in the hierarchical relationship mapping table
The fuzzy class answered, the corresponding fuzzy class of the multiple deviation includes first fuzzy class, the multiple regulated quantity pair
The fuzzy class answered includes second fuzzy class；
According to first fuzzy class, lookup matches with first fuzzy class from the hierarchical relationship mapping table
Second fuzzy class.
4. the parameter adjusting method of medical breathing apparatus according to claim 1, which is characterized in that according to second mould
Paste the determining practical adjustments amount to the medical breathing apparatus of grade, comprising:
According to preset scale factor and second fuzzy class, the practical adjustments of the medical breathing apparatus are calculated
Amount.
5. the parameter adjusting method of medical breathing apparatus according to claim 1, which is characterized in that the preset value is 1.
6. a kind of parameter adjustment control of medical breathing apparatus characterized by comprising
First determining module, the deviation for determining the current Stress index value of the medical breathing apparatus and preset value are corresponding
First fuzzy class；
Second determining module, for being determined according to first fuzzy class to the end-expiratory positive pressure of the medical breathing apparatus
Corresponding second fuzzy class of regulated quantity；
Third determining module, for determining the practical adjustments amount to the medical breathing apparatus according to second fuzzy class；
Adjustment module, for the end-expiratory positive pressure of the medical breathing apparatus to be adjusted according to the practical adjustments amount.
7. the parameter adjustment control of medical breathing apparatus according to claim 6, which is characterized in that described first determines mould
Block is used for: according to the deviation of preset quantizing factor and the medical breathing apparatus current Stress index value and preset value, meter
Calculation obtains corresponding first fuzzy class of the deviation.
8. the parameter adjustment control of medical breathing apparatus according to claim 6 or 7, which is characterized in that described second really
Cover half block is used for:
Hierarchical relationship mapping table is obtained according to deviation subordinating degree function, regulated quantity subordinating degree function and two-dimensional fuzzy controller,
In, the corresponding fuzzy class of multiple deviations and multiple regulated quantitys pair matching respectively are included in the hierarchical relationship mapping table
The fuzzy class answered, the corresponding fuzzy class of the multiple deviation includes first fuzzy class, the multiple regulated quantity pair
The fuzzy class answered includes second fuzzy class；
According to first fuzzy class, lookup matches with first fuzzy class from the hierarchical relationship mapping table
Second fuzzy class.
9. the parameter adjustment control of medical breathing apparatus according to claim 6, which is characterized in that the third determines mould
Block is used for: according to preset scale factor and second fuzzy class, the practical tune of the medical breathing apparatus is calculated
Section amount.
10. a kind of medical breathing apparatus, which is characterized in that including medical breathing apparatus as claim in any one of claims 6-9
Parameter adjustment control.
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