CN106840734B - 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 PDF

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Publication number
CN106840734B
CN106840734B CN201710232368.4A CN201710232368A CN106840734B CN 106840734 B CN106840734 B CN 106840734B CN 201710232368 A CN201710232368 A CN 201710232368A CN 106840734 B CN106840734 B CN 106840734B
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data
ventilator
pressure
man
machine
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CN106840734A (en
Inventor
戴征
丁锦
刘炜
徐勤鹏
黄皓轩
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Hunan Mingkang Zhongjin Medical Technology Co ltd
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Hunan Micomme Zhongjin Medical Technology Development Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/005Testing of complete machines, e.g. washing-machines or mobile phones
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES 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
    • A61M16/00Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
    • A61M16/0003Accessories therefor, e.g. sensors, vibrators, negative pressure
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES 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
    • A61M16/00Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
    • A61M16/0003Accessories therefor, e.g. sensors, vibrators, negative pressure
    • A61M2016/0027Accessories therefor, e.g. sensors, vibrators, negative pressure pressure meter
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES 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
    • A61M16/00Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
    • A61M16/0003Accessories therefor, e.g. sensors, vibrators, negative pressure
    • A61M2016/003Accessories therefor, e.g. sensors, vibrators, negative pressure with a flowmeter
    • A61M2016/0033Accessories therefor, e.g. sensors, vibrators, negative pressure with a flowmeter electrical

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

A kind of appraisal procedure, device and the noninvasive ventilator of ventilator trace performance
Technical field
The present embodiments relate to ventilator preparation technical fields, more particularly to a kind of assessment of ventilator trace performance Method, apparatus and noninvasive ventilator.
Background technique
Ventilator increases pulmonary ventilation volume by a kind of normal physiologic respiration that can replace, control or change people, improves work of breathing Can, mitigate respiratory power consumption, saves the device of heart reservation ability.Ventilator needs circuit sequentially progress to lung inflation, air-breathing It is converted to exhaling, alveolar air is discharged and exhales and is converted to air-breathing, therefore the power of conveying gas can be provided by needing to have, instead of people The work of body respiratory muscle;Certain respiratory rhythm, including respiratory rate and inspiratory/expiratory can be generated, to replace human body respiration maincenter mind Through the function of dominating respiratory rhythm;Suitable tidal volume or minute ventilation can be provided, to meet the needs of respiratory metabolism;Supply Gas by heating and humidifying, instead of human body nasal cavity function, and can supply higher than amount of oxygen contained in atmosphere, to improve suction Enter oxygen concentration, improves oxygen and close.
Ventilator is connected by a hose and mask or nose cup with user, gas-pressurized is generated by blower, through pipe Road is transported to Use of respirator person end, in Use of respirator person breathing, ventilator is moved according to the breathing for judge currently used person Make, when being determined as aspiratory action, then conveys higher IPAP pressure, auxiliary user ventilates;It is dynamic when being judged to exhaling When making, then pressure is replaced in time as EPAP, it is ensured that the smooth exhaled gas of user.
During Use of respirator, due to being influenced by extraneous various factors, ventilator is replaced with user's Respiratory movement is inconsistent, i.e. the phenomenon that patient-ventilator asynchrony occurs.The prior art often be directed to invasive respirator carry out it is man-machine with With the assessment of performance, invasive respirator is dual circuit ventilator, and in no user breathing, flow is 0, and when air-breathing is positive stream Amount is minus flow when expiration, therefore can very easily carry out data processing, such as flow when by air-breathing is all processed into 0, It only uses minus flow and carries out Fourier's variation, to complete the judgement to man-machine trace performance.
But noninvasive ventilator is single tube line structure, and has the presence of leak, therefore the moment exists greatly in ventilator airway In 0 positive flow, it only will appear of short duration (being no more than 1s) minus flow when exhaling firmly larger.As it can be seen that in the prior art Technical solution cannot achieve noninvasive ventilator man-machine trace performance assessment.
Therefore how to realize and the man-machine trace performance of noninvasive ventilator is evaluated, it is that those skilled in the art are badly in need of solution Certainly the problem of.
Summary of the invention
The purpose of the embodiment of the present invention is that providing a kind of appraisal procedure of ventilator trace performance, device and noninvasive breathing Machine is conducive in time be adjusted ventilator, to meet the respiratory demand of user.
In order to solve the above technical problems, the embodiment of the present invention the following technical schemes are provided:
On the one hand the embodiment of the present invention provides a kind of appraisal procedure of ventilator trace performance, comprising:
Flow sensor and the data on flows and pressure data of pressure sensor acquisition in ventilator are obtained respectively, and are pressed The data on flows and the pressure data are segmented according to predetermined time period;
Fast Fourier variation is carried out to each section of data on flows and the pressure data, to respectively obtain the stream The corresponding spectrum information of data and the corresponding spectrum information of the pressure data are measured, and is generated according to the respectively spectrum information Flow spectrogram and pressure spectrum figure;
When there is the wave crest for meeting preset condition in the flow spectrogram and the pressure spectrum figure, then the number is determined According to the man-machine synchronization of section;Conversely, then patient-ventilator asynchrony;
According to the data segment number of patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator parameter, according to described Man-machine coincident indicator parameter assesses the trace performance of the ventilator.
Optionally, described to work as the wave crest for existing in the flow spectrogram and the pressure spectrum figure and meeting preset condition When, then determine the man-machine synchronization of the data segment are as follows:
When wave crest adjacent there are predetermined number in the flow spectrogram, and each wave crest corresponding time, with When corresponding pressure spectrum figure medium wave peak corresponds to the difference of time no more than time threshold, then the man-machine synchronization of the data segment is determined.
Optionally, the data segment number according to patient-ventilator asynchrony, data segment total number obtain man-machine coincident indicator ginseng Number, carrying out assessment to the ventilator trace performance according to the man-machine coincident indicator parameter 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, Using as the man-machine coincident indicator parameter;
When the man-machine coincident indicator parameter is not more than metrics-thresholds, then the ventilator trace performance is good;Conversely, then The ventilator trace performance is bad.
Optionally, before described to each section of data on flows and pressure data progress fast Fourier variation Further include:
To each section of data on flows and pressure data progress low-pass filtering treatment after segmentation.
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 assessment device of ventilator trace performance, comprising:
Data module is obtained, for obtaining flow sensor and the flow number of pressure sensor acquisition in 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 Respectively the spectrum information generates flow spectrogram and pressure spectrum figure;
Performance module is assessed, meets preset condition for working as to exist in the flow spectrogram and the pressure spectrum figure When wave crest, then the man-machine synchronization of the data segment is determined;Conversely, then patient-ventilator asynchrony;According to the data segment number of 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 ventilator It is assessed.
Optionally, further includes:
Module is filtered, for each section of data on flows and pressure data progress low-pass filtering treatment after segmentation.
The embodiment of the invention also provides a kind of noninvasive ventilator, including pressure sensor, flow sensor and as above The assessment device of ventilator trace performance described in any one.
The embodiment of the invention provides a kind of appraisal procedures of ventilator trace performance, by the flow after segment processing Data and pressure data carry out fast Fourier variation (FFT), judge in a frequency domain pressure data and data on flows, When there is the wave crest for meeting preset condition in flow spectrogram in single hop data and pressure spectrum figure, then data segment people is determined Machine is synchronous;Conversely, then patient-ventilator asynchrony;Then according to the data segment number of patient-ventilator asynchrony, data segment total number obtains complete machine Man-machine coincident indicator parameter, assessed with the trace performance to the ventilator.
The advantages of technical solution provided by the present application, is, since data on flows can reflect the respiratory movement of user, works as people When machine is asynchronous, inconsistent phenomenon can occur for pressure waveform figure and flow waveform figure, be reflected on frequency spectrum and will appear biggish difference Away from, therefore synchronism between human and machine can be accurately analyzed by using frequency spectrum, it obtains the high man-machine trace performance of accuracy and analyzes as a result, having Conducive to being adjusted in time to ventilator, to meet the respiratory demand of user;In addition, before carrying out frequency domain processing, logarithm According to segment processing is carried out, the data volume for carrying out FFT every time can be reduced, is conducive to improve system operational speed, improves man-machine follow The efficiency of performance evaluation.
In addition, the embodiment of the present invention also directed to the appraisal procedure of ventilator trace performance provide corresponding realization device with And a kind of noninvasive ventilator, further such that the method has more practicability, described device and noninvasive ventilator have corresponding The advantages of.
Detailed description of the invention
It, below will be to embodiment or existing for the clearer technical solution for illustrating the embodiment of the present invention or the prior art Attached drawing needed in technical description is briefly described, it should be apparent that, the accompanying drawings in the following description is only this hair Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root Other attached drawings are obtained according to these attached drawings.
The waveform diagram of flow and pressure when Fig. 1 is provided in an embodiment of the present invention man-machine synchronous;
Fig. 2 is the waveform diagram of flow and pressure when one kind provided in an embodiment of the present invention is man-machine synchronous;
Fig. 3 is the waveform diagram of flow and pressure when another kind provided in an embodiment of the present invention is man-machine synchronous;
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 flow diagram of 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 assessment device of 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 to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description The present invention is described in further detail.Obviously, described embodiments are only a part of the embodiments of the present invention, rather than Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise Under every other embodiment obtained, shall fall within the protection scope of the present invention.
The description and claims of this application and term " first ", " second ", " third " " in above-mentioned attached drawing Four " etc. be for distinguishing different objects, rather than for describing specific sequence.Furthermore term " includes " and " having " and Their any deformations, it is intended that cover and non-exclusive include.Such as contain a series of steps or units process, method, System, product or equipment are not limited to listed step or unit, but may include the step of not listing or unit.
Present inventor has found that the flow sensor and pressure sensor inside ventilator collect after study Data on flows and pressure data, flow curve and pressure curve are generated according to data on flows and pressure data.Normally exhale When suction, referring to Fig. 1, the waveform diagram of the top Fig. 1 is flow curve, following waveform diagram is pressure curve, with the suction of user Gas, flow curve are first begin to rise, at this point, ventilator can also be detected immediately upon the suction of user if man-machine synchronize normally It is pneumatic to make, the output pressure of ventilator is then increased, the air-breathing of user is cooperated.It is identical, when user exhales, with stream The decline of amount, ventilator also immediately decline pressure, user can normally breathe out.
When patient-ventilator asynchrony, flow curve and pressure curve are for example seen shown in Fig. 2 and Fig. 3, in Fig. 2, with When family does not have inspiratory effort, a false triggering is had occurred in ventilator, and pressure rises, but flow does not change.Fig. 3 In, user starts to exhale not yet, but pressure has declined, and user is still in breathing process at this time, therefore occurs The case where rising once more after flow decline.
In consideration of it, the application by after segment processing data on flows and pressure data carry out FFT processing, in a frequency domain Pressure data and data on flows are judged, met in advance when existing in flow spectrogram in single hop data and pressure spectrum figure If when the wave crest of condition, then determining 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 obtain the man-machine coincident indicator parameter of complete machine, with the trace performance to the ventilator into Row assessment.
Technical solution based on the embodiments of the present invention combines Fig. 4 to the technical side of the embodiment of the present invention first below 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 acquiring data on flows and pressure data.Gas reaches at sensor via air inlet air flue, logical When crossing sensor, by each sensor collection to flow and pressure value, amplifies via Acquisition Circuit and handle, will finally obtain 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 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.
Segment processing is carried out to the collected data on flows of data acquisition box and pressure data, then carries out FFT processing, when When there is the wave crest for meeting preset condition in flow spectrogram and pressure spectrum figure in single hop data, then determine that the data segment is man-machine It is synchronous;Conversely, then patient-ventilator asynchrony;Then according to the data segment number of patient-ventilator asynchrony, data segment total number obtains complete machine Man-machine coincident indicator parameter assesses the trace performance of the ventilator according to man-machine coincident indicator parameter.
It should be noted that above-mentioned application scenarios are merely for convenience of understanding the thought of the application and principle and showing, this The embodiment of application is unrestricted in this regard.On the contrary, presently filed embodiment can be applied to it is applicable any Scene.
After describing the technical solution of the embodiment of the present invention, the various non-limiting realities of detailed description below the application Apply mode.
Referring first to Fig. 5, Fig. 5 is that a kind of process of 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 the following contents:
S501: flow sensor and the data on flows and number pressure of pressure sensor acquisition in ventilator are obtained respectively According to, and the data on flows and the pressure data are segmented according to predetermined time period.
There are blowers to provide the gas of gas and user's breathing in ventilator, passes when gas is reached by admission line When sensor, sensor can be acquired data with certain sample frequency.During Use of respirator, flow sensor and Pressure sensor can be acquired always the relevant data on flows of gas and pressure data.Due to the original number of sensor acquisition According to time it is longer, such as 5-8 hours, in order to improve the efficiency that follow-up data carries out FFT variation, initial data can be divided It cuts.
The 20s time can be used as time span to be split initial data, other times length can also be used, this is The realization of the application is not influenced.The data segment of segmentation can be determined according to the time span of initial data and predetermined time period Number.For example, the data of 1h are segmented with the period of 20s, 180 segment datas can be obtained.
Certainly, cutting data can also be carried out according to other modes, such as is cut according to the size of data, citing comes It says, the size for collecting data is 1M, can be split according to the size of 20k to data.
S502: fast Fourier variation 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 the respectively frequency spectrum Breath generates flow spectrogram and pressure spectrum figure.
Pressure waveform figure and flow waveform figure in time domain can be first generated for every segment data, then according in quick Fu Leaf variation be converted to the pressure spectrum figure and flow spectrogram of frequency domain, such as Fig. 6-Fig. 9, is that every one piece of data is corresponding Flow spectrogram and pressure spectrum figure.
Certainly FFT variation first directly can also be carried out to every segment data, generates frequency domain data, then raw according to each data At spectrogram.
S503: when there is the wave crest for meeting preset condition in the flow spectrogram and the pressure spectrum figure, then sentence The fixed man-machine synchronization of the data segment;Conversely, then patient-ventilator asynchrony.
After each section of pressure data and corresponding data on flows generate spectrogram, judge flow spectrogram with it is corresponding With the presence or absence of the wave crest for meeting preset condition in pressure spectrum figure.
Preset condition can be adjacent there are predetermined number wave crest in two width spectrograms, and each wave crest corresponding time Difference is not more than time threshold.
Time threshold can be 200ms, can also be other numerical value;The adjacent wave crest of predetermined number can be 3, certainly, can also For other numbers, those skilled in the art can choose 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 are corresponding pressure spectrum figure, As seen from the figure, the waveform of the two is almost the same.
When judging whether to meet preset condition, can be compared one by one corresponding under each amplitude since first wave crest Time, if continuous three wave crests (mark in figure 1,2,3), gap is both less than 200ms between the two, it may be considered that man-machine Synchronism is good, and two wavy curves are almost the same;It is on the contrary, then it is assumed that patient-ventilator asynchrony.
The flow spectrogram of single hop data when Fig. 8 is patient-ventilator asynchrony, Fig. 9 are corresponding pressure spectrum figure, You Tuke Know there is apparent lead time between the two secondary peak, therefore determines 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, meet preset condition if it exists Wave crest, then it is assumed that in the data segment corresponding time, man-machine synchronization.
S504: according to the data segment number of patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator parameter, according to The man-machine coincident indicator parameter assesses the trace performance of the ventilator.
Have in S501 it can be seen that, be in total how many sections of data, i.e. data segment total number by original data division.
The data segment number of patient-ventilator asynchrony is counted, and calculates the ratio of the data segment number and data segment total number, Using as the man-machine coincident indicator parameter;
When the man-machine coincident indicator parameter is not more than metrics-thresholds, then the ventilator trace performance is good;Conversely, then The ventilator trace performance is bad.
Metrics-thresholds can be 10%, can also be other numerical value, this does not influence the realization of the application certainly.For example, with 20s is segmented initial data (1h), obtains 1*3600/20=180 data.Judge man-machine same in each section 20S Whether step is good, and the segment number of patient-ventilator asynchrony is added, the data segment number n of patient-ventilator asynchrony is obtained;With data segment Total number N is quotient, i.e., using n/N as the index parameter AI of man-machine synchronization.If n reaches 18, i.e. AI=n/N=18/180= 0.1, then it is assumed that synchronism between human and machine is bad, on the contrary, then it is assumed that synchronism between human and machine is good.
In technical scheme, since data on flows can reflect the respiratory movement of user, when patient-ventilator asynchrony, pressure Inconsistent phenomenon can occur for power waveform diagram and flow waveform figure, be reflected on frequency spectrum and will appear biggish gap, therefore can be by adopting Synchronism between human and machine is accurately analyzed with frequency spectrum, obtains the high man-machine trace performance analysis of accuracy as a result, being conducive in time to exhaling Suction machine is adjusted, to meet the respiratory demand of user;In addition, being carried out at segmentation before carrying out frequency domain processing to data Reason can reduce the data volume for carrying out FFT every time, be conducive to improve system operational speed, improve the effect of man-machine trace performance analysis Rate.
Since sensor will receive the interference of extraneous various factors and the interference of sensor itself when acquiring data, Therefore the data of acquisition can have noise in generation waveform diagram, it therefore, can be to every after segmentation when carrying out FFT variation to data One section of data on flows and pressure data carry out low-pass filtering treatment, to filter out noise, the clutter in acquisition data, are conducive to improve The accuracy of spectrogram, to be conducive to improve the accuracy of man-machine trace performance assessment.
The embodiment of the present invention provides corresponding realization device also directed to the appraisal procedure of ventilator trace performance, further So that the method has more practicability.The assessment device of ventilator trace performance provided in an embodiment of the present invention is carried out below It introduces, the assessment device of ventilator trace performance described below and the appraisal procedure of above-described ventilator trace performance can Correspond to each other reference.
0, Figure 10 is the assessment device of ventilator trace performance provided in an embodiment of the present invention a kind of specific referring to Figure 1 Structure chart under embodiment, the device can include:
Data module 1001 is obtained, for obtaining flow sensor and the stream of pressure sensor acquisition in ventilator respectively Data and pressure data are measured, 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 Variation, to respectively obtain the corresponding spectrum information of the data on flows and the corresponding spectrum information of the pressure data, and root Flow spectrogram and pressure spectrum figure are generated according to the respectively spectrum information;
Performance module 1003 is assessed, meets default item for working as in the flow spectrogram and the pressure spectrum figure to exist When the wave crest of part, then the man-machine synchronization of the data segment is determined;Conversely, then patient-ventilator asynchrony;According to the data segment of patient-ventilator asynchrony Number, data segment total number obtains man-machine coincident indicator parameter, according to the man-machine coincident indicator parameter to the ventilator with It is casual to can be carried out assessment.
Optionally, in a specific embodiment, described device may also include that
Module 1004 is filtered, to each section of data on flows and pressure data progress low-pass filtering after segmentation Reason.
The function of each functional module of the assessment device of ventilator trace performance described in the embodiment of the present invention can be according to above-mentioned Method specific implementation in embodiment of the method, specific implementation process are referred to the associated description of above method embodiment, this Place repeats no more.
From the foregoing, it will be observed that since data on flows can reflect the respiratory movement of user, when patient-ventilator asynchrony, pressure waveform figure with Inconsistent phenomenon can occur for flow waveform figure, be reflected on frequency spectrum and will appear biggish gap, therefore can be accurate by using frequency spectrum Analysis synchronism between human and machine, obtain the high man-machine trace performance of accuracy and analyze as a result, being conducive in time adjust ventilator It is whole, to meet the respiratory demand of user;In addition, carrying out segment processing to data before carrying out frequency domain processing, can reduce every The secondary data volume for carrying out FFT is conducive to improve system operational speed, improves the efficiency of man-machine trace performance analysis.
The embodiment of the invention also provides a kind of noninvasive ventilator, referring to Figure 11, it may include:
The assessment device of flow sensor 1101, pressure sensor 1102 and ventilator trace performance as described above 1103。
The capability value that flow sensor 1101 breathes within a preset period of time for acquiring active user in real time, and breathing The gas flow of machine pipeline.
Pressure sensor 1102 for acquiring the pressure of breathing machine pipeline, blower gas outlet and complete machine gas outlet in real time Value.
The function of the assessment device 1103 of ventilator trace performance and specific implementation please refer to above-described embodiment, herein just not It repeats again.
Certainly, the noninvasive ventilator further includes other elements, such as blower, is not described in more detail here.
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 specific implementation, specific implementation process are referred to the associated description of above method embodiment, and details are not described herein again.
From the foregoing, it will be observed that since data on flows can reflect the respiratory movement of user, when patient-ventilator asynchrony, pressure waveform figure with Inconsistent phenomenon can occur for flow waveform figure, be reflected on frequency spectrum and will appear biggish gap, therefore can be accurate by using frequency spectrum Analysis synchronism between human and machine, obtain the high man-machine trace performance of accuracy and analyze as a result, being conducive in time adjust ventilator It is whole, to meet the respiratory demand of user;In addition, carrying out segment processing to data before carrying out frequency domain processing, can reduce every The secondary data volume for carrying out FFT is conducive to improve system operational speed, improves the efficiency of man-machine trace performance analysis.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is other The difference of embodiment, same or similar part may refer to each other between each embodiment.For being filled disclosed in embodiment For setting, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part Explanation.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology In any other form of storage medium well known in field.
Above to a kind of appraisal procedure, device and the noninvasive ventilator of ventilator trace performance provided by the present invention into It has gone and has been discussed in detail.Used herein a specific example illustrates the principle and implementation of the invention, the above implementation The explanation of example is merely used to help understand method and its core concept of the invention.It should be pointed out that for the general of the art , without departing from the principle of the present invention, can be with several improvements and modifications are made to the present invention for logical technical staff, this A little improvement and modification are also fallen within the protection scope of the claims of the present invention.

Claims (10)

1. a kind of appraisal procedure of ventilator trace performance characterized by comprising
Flow sensor and the data on flows and pressure data of pressure sensor acquisition in ventilator are obtained respectively, and according to pre- If time span is segmented the data on flows and the pressure data;
Fast Fourier variation is carried out to each section of data on flows and the pressure data, to respectively obtain the flow number Flow is generated according to corresponding spectrum information and the corresponding spectrum information of the pressure data, and according to the respectively spectrum information Spectrogram and pressure spectrum figure;
When there is the wave crest for meeting preset condition in the flow spectrogram and the pressure spectrum figure, then the data segment is determined Man-machine synchronization;Conversely, then patient-ventilator asynchrony;
According to the data segment number of patient-ventilator asynchrony, data segment total number obtains man-machine coincident indicator parameter, according to described man-machine Coincident indicator parameter assesses the trace performance of the ventilator.
2. the method according to claim 1, wherein described work as the flow spectrogram and the pressure spectrum figure When middle presence meets the wave crest of preset condition, then the man-machine synchronization of the data segment is determined are as follows:
It is and corresponding when wave crest adjacent there are predetermined number in the flow spectrogram, and each wave crest corresponding time Pressure spectrum figure medium wave peak when corresponding to the difference of time no more than time threshold, then determine the man-machine synchronization of the data segment.
3. the method according to claim 1, wherein the data segment number according to patient-ventilator asynchrony, data Section total number obtains man-machine coincident indicator parameter, is carried out according to the man-machine coincident indicator parameter to the ventilator trace performance 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 For the man-machine coincident indicator parameter;
When the man-machine coincident indicator parameter is not more than metrics-thresholds, then the ventilator trace performance is good;Conversely, then described Ventilator trace performance is bad.
4. according to claim 1 to method described in 3 any one, which is characterized in that described to each section of flow number According to the pressure data carry out fast Fourier variation before further include:
To each section of data on flows and pressure data progress low-pass filtering treatment after segmentation.
5. according to the method described in claim 4, it is characterized in that, the predetermined time period is 20s.
6. according to the method described in claim 2, it is characterized in that, the time threshold is 200ms.
7. according to the method described in claim 3, it is characterized in that, the metrics-thresholds are 10%.
8. a kind of assessment device of ventilator trace performance characterized by comprising
Obtain data module, for obtain respectively flow sensor in ventilator and pressure sensor acquisition 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 variation 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 It states spectrum information and generates flow spectrogram and pressure spectrum figure;
Performance module is assessed, for working as the wave crest for existing in the flow spectrogram and the pressure spectrum figure and meeting preset condition When, then determine the man-machine synchronization of the data segment;Conversely, then patient-ventilator asynchrony;According to the data segment number of patient-ventilator asynchrony, data segment Total number obtains man-machine coincident indicator parameter, is carried out according to trace performance of the man-machine coincident indicator parameter to the ventilator Assessment.
9. device according to claim 8, which is characterized in that further include:
Module is filtered, for each section of data on flows and pressure data progress low-pass filtering treatment after segmentation.
10. a kind of noninvasive ventilator, including pressure sensor and flow sensor, which is characterized in that further include that right such as is wanted Seek the assessment device of ventilator trace performance described in 8 or 9 any one.
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Families Citing this family (4)

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Publication number Priority date Publication date Assignee Title
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
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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 (4)

* Cited by examiner, † Cited by third party
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
CN106029141A (en) * 2014-01-09 2016-10-12 皇家飞利浦有限公司 Patient-ventilator asynchrony detection

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8573207B2 (en) * 2010-09-28 2013-11-05 Guillermo Gutierrez Method and system to detect respiratory asynchrony
US9027552B2 (en) * 2012-07-31 2015-05-12 Covidien Lp Ventilator-initiated prompt or setting regarding detection of asynchrony during ventilation

Patent Citations (4)

* Cited by examiner, † Cited by third party
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
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)

* Cited by examiner, † Cited by third party
Title
傅立叶变换的一种分段计算方法;郝重阳 等;《仪器仪表学报》;19920228(第1期);第101-106页 *

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