CN106840734A - Method and device for evaluating following performance of respirator and noninvasive respirator - Google Patents
Method and device for evaluating following performance of respirator and noninvasive respirator Download PDFInfo
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- CN106840734A CN106840734A CN201710232368.4A CN201710232368A CN106840734A CN 106840734 A CN106840734 A CN 106840734A CN 201710232368 A CN201710232368 A CN 201710232368A CN 106840734 A CN106840734 A CN 106840734A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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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
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
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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
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
- A61M2016/0027—Accessories therefor, e.g. sensors, vibrators, negative pressure pressure meter
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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
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
- A61M2016/003—Accessories therefor, e.g. sensors, vibrators, negative pressure with a flowmeter
- A61M2016/0033—Accessories therefor, e.g. sensors, vibrators, negative pressure with a flowmeter electrical
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Abstract
The embodiment of the invention discloses a method for evaluating the following performance of a breathing machine, which comprises the steps of carrying out fast Fourier transform on flow data and pressure data after segmentation processing, judging the pressure data and the flow data in a frequency domain, and judging that a data segment is in man-machine synchronization when peaks meeting preset conditions exist in a flow spectrogram and a pressure spectrogram in single-segment data; and then, according to the number of the data sections with man-machine asynchronism and the total number of the data sections, obtaining the man-machine synchronization index parameter of the whole machine so as to evaluate the following performance of the breathing machine. The accuracy of the human-computer following performance analysis result is improved, timely adjustment of the breathing machine is facilitated, the breathing requirement of a user is met, and the efficiency of performance analysis is improved. In addition, the embodiment of the invention also provides a corresponding implementation device and a noninvasive ventilator, so that the method has higher practicability, and the device and the noninvasive ventilator have corresponding advantages.
Description
Technical field
The present embodiments relate to lung ventilator preparing technical field, more particularly to a kind of assessment of lung ventilator trace performance
Method, device and noninvasive ventilator.
Background technology
Lung ventilator is the normal physiologic respiration that a kind of energy replaces, controls or change people, increases pulmonary ventilation volume, improves work of breathing
Can, mitigate work of breathing ozone, save the device of heart reservation ability.Lung ventilator needs to circulate successively to be carried out to lung inflation, air-breathing
Changed to exhaling, discharge alveolar air and exhale and changed to air-breathing, therefore need to have the power that conveying gas can be provided, instead of people
The work of body respiratory muscle;Certain respiratory rhythm, including respiratory rate and inspiratory/expiratory can be produced, to replace human body respiration maincenter god
Through the function of arranging respiratory rhythm;Suitable tidal volume or minute ventilation can be provided, to meet respiratory metabolism the need for;Supply
Gas by heating and humidifying, instead of human body nasal cavity function, and it is higher than contained amount of oxygen in air that can supply, to improve suction
Enter oxygen concentration, improve oxygen and close.
Lung ventilator is connected by a flexible pipe and mask or nose cup with user, and gas-pressurized is produced by blower fan, through pipe
Road is transported to Use of respirator person end, when Use of respirator person breathes, lung ventilator is moved according to the breathing for judging currently used person
Make, when aspiratory action is judged to, then convey IPAP pressure higher, auxiliary user is ventilated;Moved when being judged to exhale
When making, then it is EPAP to replace pressure in time, it is ensured that the smooth exhaled gas of user.
During Use of respirator, due to being influenceed by extraneous various factors, lung ventilator is replaced with user's
Respiratory movement is inconsistent, i.e., the phenomenon of patient-ventilator asynchrony occurs.Prior art be often for invasive respirator carry out it is man-machine with
With the assessment of performance, invasive respirator is dual circuit lung ventilator, and when no user breathes, flow is 0, is positive stream during air-breathing
Amount, is minus flow during expiration, therefore can very easily carry out data processing, such as flow when by air-breathing is all processed into 0,
Fourier's change only is carried out using minus flow, so as to complete the judgement to man-machine trace performance.
But, noninvasive ventilator is single tube line structure, and has the presence of leak, therefore moment presence is big in lung ventilator air flue
In 0 positive flow, of short duration (no more than 1s) minus flow only occurs when exhaling firmly larger.It can be seen that, in the prior art
Technical scheme cannot realize noninvasive ventilator man-machine trace performance assessment.
Therefore, how to realize evaluating the man-machine trace performance of noninvasive ventilator, it is that those skilled in the art are badly in need of solution
Problem certainly.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of appraisal procedure of lung ventilator trace performance, device and noninvasive breathing
Machine, is conducive in time being adjusted lung ventilator, to meet the respiratory demand of user.
In order to solve the above technical problems, the embodiment of the present invention provides following technical scheme:
On the one hand the embodiment of the present invention provides a kind of appraisal procedure of lung ventilator trace performance, including:
Flow sensor and the data on flows and pressure data of pressure sensor collection in lung ventilator are obtained respectively, and are pressed
The data on flows and the pressure data are segmented according to predetermined time period;
Fast Fourier change is carried out to each section of data on flows and the pressure data, to respectively obtain the stream
The amount corresponding spectrum information of data and the corresponding spectrum information of the pressure data, and generated according to each spectrum information
Flow spectrogram and pressure spectrum figure;
When in the flow spectrogram with the pressure spectrum figure in the presence of pre-conditioned crest is met, then the number is judged
According to the man-machine synchronization of section;Conversely, then patient-ventilator asynchrony;
Data segment number according to patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator parameter, according to described
Man-machine coincident indicator parameter is estimated to the trace performance of the lung ventilator.
Optionally, it is described when in the flow spectrogram with the pressure spectrum figure exist meet pre-conditioned crest
When, then judge the man-machine synchronization of the data segment as:
When there is the adjacent crest of predetermined number in the flow spectrogram, and each described crest corresponding time, with
When the difference of corresponding pressure spectrum figure medium wave peak correspondence time is not more than time threshold, then the man-machine synchronization of the data segment is judged.
Optionally, the data segment number according to patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator ginseng
Number, according to the man-machine coincident indicator parameter lung ventilator trace performance is estimated including:
The data segment number of patient-ventilator asynchrony is counted, and calculates the ratio of the data segment number and data segment total number,
As the man-machine coincident indicator parameter;
When the man-machine coincident indicator parameter is not more than metrics-thresholds, then the lung ventilator trace performance is good;Conversely, then
The lung ventilator trace performance is bad.
Optionally, it is described fast Fourier change is carried out to each section of data on flows and the pressure data before
Also include:
Each section of data on flows and pressure data after to segmentation carry out low-pass filtering treatment.
Optionally, the predetermined time period is 20s.
Optionally, the time threshold is 200ms.
Optionally, the metrics-thresholds are 10%.
On the other hand the embodiment of the present invention provides a kind of apparatus for evaluating of lung ventilator trace performance, including:
Data module is obtained, for obtaining flow sensor and the flow number of pressure sensor collection in lung ventilator respectively
According to and pressure data, and the data on flows and the pressure data are segmented according to predetermined time period;
Spectroscopy processing module, for carrying out fast Fourier change to each section of data on flows and the pressure data
Change, to respectively obtain the corresponding spectrum information of the data on flows and the corresponding spectrum information of the pressure data, and according to
Each the spectrum information generates flow spectrogram and pressure spectrum figure;
Assessment performance module, for when in the flow spectrogram with the pressure spectrum figure exist meet pre-conditioned
During crest, then the man-machine synchronization of the data segment is judged;Conversely, then patient-ventilator asynchrony;Data segment number according to patient-ventilator asynchrony, number
Man-machine coincident indicator parameter is obtained according to section total number, according to the man-machine coincident indicator parameter to the trace performance of the lung ventilator
It is estimated.
Optionally, also include:
Filtering process module, low-pass filtering treatment is carried out for each section of data on flows and pressure data after to segmentation.
The embodiment of the present invention additionally provides a kind of noninvasive ventilator, including pressure sensor, flow sensor and as above
The apparatus for evaluating of the lung ventilator trace performance described in any one.
The embodiment of the invention provides a kind of appraisal procedure of lung ventilator trace performance, the flow after to segment processing
Data and pressure data carry out fast Fourier change (FFT), and pressure data and data on flows are judged in a frequency domain,
When in flow spectrogram in single hop data and pressure spectrum figure in the presence of pre-conditioned crest is met, then data segment people is judged
Machine synchronization;Conversely, then patient-ventilator asynchrony;Then the data segment number according to patient-ventilator asynchrony, data segment total number obtains whole machine
Man-machine coincident indicator parameter, be estimated with the trace performance to the lung ventilator.
The advantage of the technical scheme that the application is provided is that can reflect the respiratory movement of user due to data on flows, works as people
When machine is asynchronous, pressure waveform figure can occur inconsistent phenomenon with flow waveform figure, be reflected on frequency spectrum and larger difference occurs
Away from, therefore synchronism between human and machine can be accurately analyzed by using frequency spectrum, and the degree of accuracy man-machine trace performance analysis result high is obtained, have
Beneficial to being adjusted to lung ventilator in time, to meet the respiratory demand of user;Additionally, before frequency domain treatment is carried out, logarithm
According to segment processing is carried out, the data volume for carrying out FFT every time can be reduced, be conducive to improving system running speed, improve man-machine following
The efficiency of performance evaluation.
Additionally, the embodiment of the present invention also directed to the appraisal procedure of lung ventilator trace performance provide it is corresponding realize device with
And a kind of noninvasive ventilator, further such that methods described has more practicality, described device and noninvasive ventilator have corresponding
Advantage.
Brief description of the drawings
For the clearer explanation embodiment of the present invention or the technical scheme of prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for technology description is briefly described, it should be apparent that, drawings in the following description are only this hair
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
The waveform diagram of flow and pressure when Fig. 1 is provided in an embodiment of the present invention man-machine synchronous;
The waveform diagram of flow and pressure when Fig. 2 is provided in an embodiment of the present invention a kind of man-machine synchronous;
The waveform diagram of flow and pressure when Fig. 3 is man-machine synchronous another kind provided in an embodiment of the present invention;
Fig. 4 is the application scenarios block schematic illustration of an illustrative example provided in an embodiment of the present invention;
Fig. 5 is a kind of schematic flow sheet of lung ventilator trace performance appraisal procedure provided in an embodiment of the present invention;
Fig. 6 is a kind of flow spectrum diagram provided in an embodiment of the present invention;
Fig. 7 is a kind of pressure spectrum schematic diagram provided in an embodiment of the present invention;
Fig. 8 is another flow spectrum diagram provided in an embodiment of the present invention;
Fig. 9 is another pressure spectrum schematic diagram provided in an embodiment of the present invention;
Figure 10 is a kind of specific embodiment knot of the apparatus for evaluating of lung ventilator trace performance provided in an embodiment of the present invention
Composition;
Figure 11 is a kind of specific embodiment structure chart of noninvasive ventilator provided in an embodiment of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " " in the description and claims of this application and above-mentioned accompanying drawing
Four " it is etc. for distinguishing different objects, rather than for describing specific order.In addition term " comprising " and " having " and
Their any deformations, it is intended that covering is non-exclusive to be included.For example contain the process of series of steps or unit, method,
System, product or equipment are not limited to the step of having listed or unit, but may include the step of not listing or unit.
Present inventor has found that flow sensor and pressure sensor inside lung ventilator are collected by research
Data on flows and pressure data, according to data on flows and pressure data generation flow curve and pressure curve.Normally exhale
During suction, Fig. 1 is referred to, the oscillogram of Fig. 1 tops is flow curve, and following oscillogram is pressure curve, with the suction of user
Gas, flow curve is first begin to rise, and now, if man-machine synchronization is normal, lung ventilator can also be detected immediately upon the suction of user
Pneumatic work, then raises the output pressure of lung ventilator, coordinates the air-breathing of user.Identical, when user exhales, with stream
The decline of amount, lung ventilator also immediately declines pressure, so that user can normally breathe out.
When patient-ventilator asynchrony, flow curve and pressure curve for example see shown in Fig. 2 and Fig. 3, in Fig. 2, with
When family does not have inspiratory effort, lung ventilator there occurs a false triggering, and pressure is risen, but flow is not changed.Fig. 3
In, user is not started to also exhale, but pressure has declined, and now user is still within breathing process, therefore is occurred in that
Situation about rising once more after flow reduction.
In consideration of it, data on flows and pressure data of the application after to segment processing carry out FFT treatment, in a frequency domain
Pressure data and data on flows are judged, when flow spectrogram is pre- in the presence of meeting with pressure spectrum figure in single hop data
If during the crest of condition, then judging the man-machine synchronization of the data segment;Conversely, then patient-ventilator asynchrony;Then according to patient-ventilator asynchrony
Data segment number, data segment total number obtains the man-machine coincident indicator parameter of whole machine, is entered with the trace performance to the lung ventilator
Row assessment.
Technical scheme based on the embodiments of the present invention, first below with reference to Fig. 4 to the technical side of the embodiment of the present invention
Some possible application scenarios that case is related to carry out citing introduction, and Fig. 4 is the frame of illustrative example provided in an embodiment of the present invention
Frame schematic diagram.
As shown in figure 4, data acquisition box includes air inlet air flue, flow sensor, pressure sensor, Acquisition Circuit, storage
Device and outlet air flue, for gathering data on flows and pressure data.Gas is reached at sensor via air inlet air flue, logical
When crossing sensor, by each sensor collection to flow and pressure value, amplify via Acquisition Circuit and process, will finally give
Data be saved in memory, gas finally from outlet air flue flow out.
During Use of respirator, data acquisition box inlet end is connected with the outlet side of lung ventilator, data acquisition box
Outlet side is connected with patient, and upon completion of the treatment, data acquisition box has just collected completion total data.
The data on flows and pressure data collected to data acquisition box carry out segment processing, then carry out FFT treatment, when
Exist in flow spectrogram and pressure spectrum figure in single hop data when meeting pre-conditioned crest, then judge that the data segment is man-machine
It is synchronous;Conversely, then patient-ventilator asynchrony;Then the data segment number according to patient-ventilator asynchrony, data segment total number obtains whole machine
Man-machine coincident indicator parameter, is estimated according to man-machine coincident indicator parameter to the trace performance of the lung ventilator.
It should be noted that above-mentioned application scenarios are for only for ease of the thought and principle that understand the application and show, this
The implementation method of application is unrestricted in this regard.Conversely, presently filed embodiment can apply to it is applicable any
Scene.
After the technical scheme for describing the embodiment of the present invention, the various non-limiting reality of detailed description below the application
Apply mode.
Referring first to Fig. 5, Fig. 5 is that a kind of flow of lung ventilator trace performance appraisal procedure provided in an embodiment of the present invention is shown
It is intended to, the embodiment of the present invention may include herein below:
S501:Flow sensor and the data on flows and number pressure of pressure sensor collection in lung ventilator are obtained respectively
According to, and the data on flows and the pressure data are segmented according to predetermined time period.
There is the gas that blower fan provides gas and user's breathing in lung ventilator, passed when gas is reached by admission line
During sensor, sensor can be acquired data with certain sample frequency.During Use of respirator, flow sensor and
Pressure sensor can always be acquired the related data on flows of gas and pressure data.Due to the original number of sensor collection
According to time it is more long, such as 5-8 hours, the efficiency of FFT changes is carried out in order to improve follow-up data, initial data can be divided
Cut.
Initial data can be split as time span using the 20s times, can also use other times length, this is equal
The realization of the application is not influenceed.Time span and predetermined time period according to initial data can determine the data segment of segmentation
Number.For example, the data to 1h are segmented with the cycle of 20s, can obtain 180 segment datas.
Certainly, cutting data is carried out also dependent on other modes, such as size according to data is cut, citing comes
Say, collect the size of data for 1M, data can be split according to the size of 20k.
S502:Fast Fourier change is carried out to each section of data on flows and the pressure data, to respectively obtain
The corresponding spectrum information of data on flows and the corresponding spectrum information of the pressure data, and believed according to each frequency spectrum
Breath generation flow spectrogram and pressure spectrum figure.
The pressure waveform figure and flow waveform figure first generated per segment data in time domain can be directed to, then according in quick Fu
Leaf change be converted to the pressure spectrum figure and flow spectrogram of frequency domain, and such as Fig. 6-Fig. 9 is that every one piece of data is corresponding
Flow spectrogram and pressure spectrum figure.
Certainly FFT changes also directly can be first carried out to every segment data, frequency domain data is generated, is then given birth to according to each data
Into spectrogram.
S503:When in the flow spectrogram with the pressure spectrum figure in the presence of pre-conditioned crest is met, then sentence
The man-machine synchronization of the fixed data segment;Conversely, then patient-ventilator asynchrony.
When each section of pressure data and corresponding data on flows generation spectrogram after, judge flow spectrogram with it is corresponding
Whether there is in pressure spectrum figure and meet pre-conditioned crest.
It is pre-conditioned to there is the adjacent crest of predetermined number in two width spectrograms, and each described crest corresponding time
Difference is not more than time threshold.
Time threshold can be 200ms, or other numerical value;The adjacent crest of predetermined number can be 3, certainly, also may be used
It is other numbers, those skilled in the art can be chosen according to experience and actual conditions, and the application does not do any limit
It is fixed.
For example, the flow spectrogram of single hop data when Fig. 6 is man-machine synchronous, Fig. 7 is corresponding pressure spectrum figure,
As seen from the figure, the waveform of the two is basically identical.
When judging whether to meet pre-conditioned, can one by one contrast corresponding under each amplitude since first crest
Time, if continuous three crests (marked in figure 1,2,3), gap is both less than 200ms between the two, then it is considered that man-machine
Synchronism is good, and two wavy curves are basically identical;Otherwise, then it is assumed that patient-ventilator asynchrony.
The flow spectrogram of single hop data when Fig. 8 is patient-ventilator asynchrony, Fig. 9 is corresponding pressure spectrum figure, can by figure
Know, both have obvious lead time between secondary peak, therefore judge the patient-ventilator asynchrony in this time.
It should be noted that segmentation after the corresponding two amplitude-frequencies spectrogram of every segment data in, if pre-conditioned in the presence of meeting
Crest, then it is assumed that in the data segment corresponding time, man-machine synchronization.
S504:Data segment number according to patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator parameter, according to
The man-machine coincident indicator parameter is estimated to the trace performance of the lung ventilator.
Having in S501 to learn, altogether by the data that original data division is how many sections, i.e. data segment total number.
The data segment number of patient-ventilator asynchrony is counted, and calculates the ratio of the data segment number and data segment total number,
As the man-machine coincident indicator parameter;
When the man-machine coincident indicator parameter is not more than metrics-thresholds, then the lung ventilator trace performance is good;Conversely, then
The lung ventilator trace performance is bad.
Metrics-thresholds can be 10%, certainly, or other numerical value, this does not influence the realization of the application.For example, with
20s is segmented to initial data (1h), obtains 1*3600/20=180 data.Judge that each 20S is man-machine same in interval
Whether step is good, and the segment number of patient-ventilator asynchrony is added, and obtains the data segment number n of patient-ventilator asynchrony;With data segment
Total number N is business, will n/N as man-machine synchronous index parameter AI.If n reaches 18, i.e. AI=n/N=18/180=
0.1, then it is assumed that synchronism between human and machine is not good, otherwise, then it is assumed that synchronism between human and machine is good.
In technical scheme, the respiratory movement of user can be reflected due to data on flows, when patient-ventilator asynchrony, pressure
Power oscillogram can occur inconsistent phenomenon with flow waveform figure, be reflected on frequency spectrum and larger gap occurs, therefore can be by adopting
Synchronism between human and machine is accurately analyzed with frequency spectrum, the degree of accuracy man-machine trace performance analysis result high is obtained, is conducive in time to exhaling
Suction machine is adjusted, to meet the respiratory demand of user;Additionally, before frequency domain treatment is carried out, being carried out at segmentation to data
Reason, can reduce the data volume for carrying out FFT every time, be conducive to improving system running speed, improve the effect of man-machine trace performance analysis
Rate.
Because sensor can be disturbed in gathered data by extraneous various factors, and sensor interference in itself,
Therefore collection data generation oscillogram can there is noise, therefore, data are carried out FFT change when, can to segmentation after it is every
One section of data on flows and pressure data carry out low-pass filtering treatment, to leach the noise in gathered data, clutter, are conducive to improving
The accuracy of spectrogram, so as to be conducive to improving the degree of accuracy of man-machine trace performance assessment.
The embodiment of the present invention is provided also directed to the appraisal procedure of lung ventilator trace performance and realizes device accordingly, further
So that methods described has more practicality.The apparatus for evaluating to lung ventilator trace performance provided in an embodiment of the present invention is carried out below
Introduce, the apparatus for evaluating of lung ventilator trace performance described below can with the appraisal procedure of above-described lung ventilator trace performance
Mutually to should refer to.
Figure 10 is referred to, Figure 10 is the apparatus for evaluating of lung ventilator trace performance provided in an embodiment of the present invention a kind of specific
Structure chart under implementation method, the device may include:
Data module 1001 is obtained, for obtaining flow sensor and the stream of pressure sensor collection in lung ventilator respectively
Amount data and pressure data, and the data on flows and the pressure data are segmented according to predetermined time period;
Spectroscopy processing module 1002, for carrying out fast Fourier to each section of data on flows and the pressure data
Change, to respectively obtain the corresponding spectrum information of the data on flows and the corresponding spectrum information of the pressure data, and root
According to each spectrum information generation flow spectrogram and the pressure spectrum figure;
Assessment performance module 1003, for meeting default bar when existing in the flow spectrogram with the pressure spectrum figure
During the crest of part, then the man-machine synchronization of the data segment is judged;Conversely, then patient-ventilator asynchrony;Data segment according to patient-ventilator asynchrony
Number, data segment total number obtains man-machine coincident indicator parameter, according to the man-machine coincident indicator parameter to the lung ventilator with
It is estimated with performance.
Optionally, in a kind of specific embodiment, described device may also include:
Filtering process module 1004, is carried out at LPF for each section of data on flows and pressure data after to segmentation
Reason.
The function of each functional module of the apparatus for evaluating of lung ventilator trace performance described in the embodiment of the present invention can be according to above-mentioned
Method in embodiment of the method is implemented, and it implements the associated description that process is referred to above method embodiment, this
Place repeats no more.
From the foregoing, it will be observed that the respiratory movement of user can be reflected due to data on flows, when patient-ventilator asynchrony, pressure waveform figure with
Flow waveform figure can occur inconsistent phenomenon, be reflected on frequency spectrum and larger gap occurs, therefore can be by accurate using frequency spectrum
Analysis synchronism between human and machine, obtain the degree of accuracy man-machine trace performance analysis result high, be conducive in time adjusting lung ventilator
It is whole, to meet the respiratory demand of user;Additionally, before frequency domain treatment is carried out, segment processing is carried out to data, can reduce every
The secondary data volume for carrying out FFT, is conducive to improving system running speed, improves the efficiency of man-machine trace performance analysis..
The embodiment of the present invention additionally provides a kind of noninvasive ventilator, refers to Figure 11, it may include:
The apparatus for evaluating of flow sensor 1101, pressure sensor 1102 and lung ventilator trace performance as described above
1103。
Flow sensor 1101 is used for capability value of the Real-time Collection active user in preset time period internal respiration, and breathing
The gas flow of machine pipeline.
Pressure sensor 1102 is used for the pressure of Real-time Collection breathing machine pipeline, blower fan gas outlet and whole machine gas outlet
Value.
The function of the apparatus for evaluating 1103 of lung ventilator trace performance refers to above-described embodiment with implementing, herein just not
Repeat again.
Certainly, the noninvasive ventilator also includes other elements, and such as blower fan is just repeated no more herein.
The function of each functional module of noninvasive ventilator described in the embodiment of the present invention can be according in above method embodiment
Method is implemented, and it implements the associated description that process is referred to above method embodiment, and here is omitted.
From the foregoing, it will be observed that the respiratory movement of user can be reflected due to data on flows, when patient-ventilator asynchrony, pressure waveform figure with
Flow waveform figure can occur inconsistent phenomenon, be reflected on frequency spectrum and larger gap occurs, therefore can be by accurate using frequency spectrum
Analysis synchronism between human and machine, obtain the degree of accuracy man-machine trace performance analysis result high, be conducive in time adjusting lung ventilator
It is whole, to meet the respiratory demand of user;Additionally, before frequency domain treatment is carried out, segment processing is carried out to data, can reduce every
The secondary data volume for carrying out FFT, is conducive to improving system running speed, improves the efficiency of man-machine trace performance analysis.
Each embodiment is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment same or similar part mutually referring to.For being filled disclosed in embodiment
For putting, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Illustrate.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond the scope of this invention.
The step of method or algorithm for being described with reference to the embodiments described herein, directly can be held with hardware, processor
Capable software module, or the two combination is implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In field in known any other form of storage medium.
A kind of appraisal procedure of lung ventilator trace performance provided by the present invention, device and noninvasive ventilator are entered above
Go and be discussed in detail.Specific case used herein is set forth to principle of the invention and implementation method, and the above is implemented
The explanation of example is only intended to help and understands the method for the present invention and its core concept.It should be pointed out that general for the art
For logical technical staff, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, this
A little improvement and modification are also fallen into the protection domain of the claims in the present invention.
Claims (10)
1. a kind of appraisal procedure of lung ventilator trace performance, it is characterised in that including:
Flow sensor and the data on flows and pressure data of pressure sensor collection in lung ventilator are obtained respectively, and according to pre-
If time span is segmented to the data on flows and the pressure data;
Fast Fourier change is carried out to each section of data on flows and the pressure data, to respectively obtain the flow number
According to corresponding spectrum information and the corresponding spectrum information of the pressure data, and according to each spectrum information generation flow
Spectrogram and pressure spectrum figure;
When in the flow spectrogram with the pressure spectrum figure in the presence of pre-conditioned crest is met, then the data segment is judged
Man-machine synchronization;Conversely, then patient-ventilator asynchrony;
Data segment number according to patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator parameter, according to described man-machine
Coincident indicator parameter is estimated to the trace performance of the lung ventilator.
2. method according to claim 1, it is characterised in that described when the flow spectrogram and the pressure spectrum figure
It is middle to exist when meeting pre-conditioned crest, then judge the man-machine synchronization of the data segment as:
It is and corresponding when there is the adjacent crest of predetermined number in the flow spectrogram, and each described crest corresponding time
The pressure spectrum figure medium wave peak correspondence time difference when being not more than time threshold, then judge the man-machine synchronization of the data segment.
3. method according to claim 1, it is characterised in that the data segment number according to patient-ventilator asynchrony, data
Section total number obtains man-machine coincident indicator parameter, and the lung ventilator trace performance is carried out according to the man-machine coincident indicator parameter
Assessment includes:
The data segment number of patient-ventilator asynchrony is counted, and calculates the ratio of the data segment number and data segment total number, to make
It is the man-machine coincident indicator parameter;
When the man-machine coincident indicator parameter is not more than metrics-thresholds, then the lung ventilator trace performance is good;Conversely, then described
Lung ventilator trace performance is bad.
4. the method according to claims 1 to 3 any one, it is characterised in that described to each section of flow number
According to carrying out with the pressure data also including before fast Fourier change:
Each section of data on flows and pressure data after to segmentation carry out low-pass filtering treatment.
5. method according to claim 4, it is characterised in that the predetermined time period is 20s.
6. method according to claim 5, it is characterised in that the time threshold is 200ms.
7. method according to claim 6, it is characterised in that the metrics-thresholds are 10%.
8. a kind of apparatus for evaluating of lung ventilator trace performance, it is characterised in that including:
Obtain data module, for obtain respectively flow sensor in lung ventilator and pressure sensor collection data on flows and
Pressure data, and the data on flows and the pressure data are segmented according to predetermined time period;
Spectroscopy processing module, for carrying out fast Fourier change to each section of data on flows and the pressure data, with
The corresponding spectrum information of the data on flows and the corresponding spectrum information of the pressure data are respectively obtained, and according to respective institute
State spectrum information generation flow spectrogram and pressure spectrum figure;
Assessment performance module, for when in the flow spectrogram with the pressure spectrum figure exist meet pre-conditioned crest
When, then judge the man-machine synchronization of the data segment;Conversely, then patient-ventilator asynchrony;Data segment number according to patient-ventilator asynchrony, data segment
Total number obtains man-machine coincident indicator parameter, and the trace performance of the lung ventilator is carried out according to the man-machine coincident indicator parameter
Assessment.
9. device according to claim 8, it is characterised in that also include:
Filtering process module, low-pass filtering treatment is carried out for each section of data on flows and pressure data after to segmentation.
10. a kind of noninvasive ventilator, including pressure sensor and flow sensor, it is characterised in that will also including such as right
Seek the apparatus for evaluating of the lung ventilator trace performance described in 8 or 9 any one.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110290824A (en) * | 2018-05-02 | 2019-09-27 | 东南大学附属中大医院 | A kind of aerating system and synchronized with breath monitoring method, device |
WO2020037519A1 (en) * | 2018-08-21 | 2020-02-27 | 深圳迈瑞生物医疗电子股份有限公司 | Ventilation trigger detection method and apparatus, ventilation device, and storage medium |
CN111110967A (en) * | 2019-12-02 | 2020-05-08 | 湖南明康中锦医疗科技发展有限公司 | CPAP performance evaluation method of respiratory support equipment and respiratory support equipment |
CN113951868A (en) * | 2021-10-29 | 2022-01-21 | 北京富通东方科技有限公司 | Method and device for detecting man-machine asynchrony of mechanically ventilated patient |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010121313A1 (en) * | 2009-04-22 | 2010-10-28 | Resmed Ltd | Detection of asynchrony |
CN201749035U (en) * | 2010-06-22 | 2011-02-16 | 上海理工大学 | System for detecting performances of breathing machine |
CN102333557A (en) * | 2009-02-25 | 2012-01-25 | 皇家飞利浦电子股份有限公司 | The asynchronous detection of patient-ventilator |
US20120073574A1 (en) * | 2010-09-28 | 2012-03-29 | Guillermo Gutierrez | Method and system to detect respiratory asynchrony |
US20140034054A1 (en) * | 2012-07-31 | 2014-02-06 | Nellcor Puritan Bennett Llc | Ventilator-initiated prompt or setting regarding detection of asynchrony during ventilation |
CN106029141A (en) * | 2014-01-09 | 2016-10-12 | 皇家飞利浦有限公司 | Patient-ventilator asynchrony detection |
-
2017
- 2017-04-11 CN CN201710232368.4A patent/CN106840734B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102333557A (en) * | 2009-02-25 | 2012-01-25 | 皇家飞利浦电子股份有限公司 | The asynchronous detection of patient-ventilator |
WO2010121313A1 (en) * | 2009-04-22 | 2010-10-28 | Resmed Ltd | Detection of asynchrony |
CN201749035U (en) * | 2010-06-22 | 2011-02-16 | 上海理工大学 | System for detecting performances of breathing machine |
US20120073574A1 (en) * | 2010-09-28 | 2012-03-29 | Guillermo Gutierrez | Method and system to detect respiratory asynchrony |
US20140034054A1 (en) * | 2012-07-31 | 2014-02-06 | Nellcor Puritan Bennett Llc | Ventilator-initiated prompt or setting regarding detection of asynchrony during ventilation |
CN106029141A (en) * | 2014-01-09 | 2016-10-12 | 皇家飞利浦有限公司 | Patient-ventilator asynchrony detection |
Non-Patent Citations (1)
Title |
---|
郝重阳 等: "傅立叶变换的一种分段计算方法", 《仪器仪表学报》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110290824A (en) * | 2018-05-02 | 2019-09-27 | 东南大学附属中大医院 | A kind of aerating system and synchronized with breath monitoring method, device |
WO2019210469A1 (en) * | 2018-05-02 | 2019-11-07 | 东南大学附属中大医院 | Ventilation system and synchronous respiratory monitoring method and device |
WO2020037519A1 (en) * | 2018-08-21 | 2020-02-27 | 深圳迈瑞生物医疗电子股份有限公司 | Ventilation trigger detection method and apparatus, ventilation device, and storage medium |
CN112449607A (en) * | 2018-08-21 | 2021-03-05 | 深圳迈瑞生物医疗电子股份有限公司 | Ventilation trigger detection method and device, ventilation equipment and storage medium |
CN111110967A (en) * | 2019-12-02 | 2020-05-08 | 湖南明康中锦医疗科技发展有限公司 | CPAP performance evaluation method of respiratory support equipment and respiratory support equipment |
CN111110967B (en) * | 2019-12-02 | 2022-05-17 | 湖南明康中锦医疗科技发展有限公司 | Respiratory support equipment CPAP performance evaluation method and respiratory support equipment |
CN113951868A (en) * | 2021-10-29 | 2022-01-21 | 北京富通东方科技有限公司 | Method and device for detecting man-machine asynchrony of mechanically ventilated patient |
CN113951868B (en) * | 2021-10-29 | 2024-04-09 | 北京富通东方科技有限公司 | Method and device for detecting man-machine asynchronism of mechanical ventilation patient |
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