CN108186018A - A kind of breath data processing method and processing device - Google Patents
A kind of breath data processing method and processing device Download PDFInfo
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- CN108186018A CN108186018A CN201711178719.4A CN201711178719A CN108186018A CN 108186018 A CN108186018 A CN 108186018A CN 201711178719 A CN201711178719 A CN 201711178719A CN 108186018 A CN108186018 A CN 108186018A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
Abstract
The embodiment of the invention discloses a kind of breath data processing method and processing device, the method includes：To the respiratory waveform data carry out data fitting, the Wave data curve after being fitted, and according to the Wave data curve acquisition respiratory waveform data waveform essential information；With reference to the waveform essential information and default expiration threshold value and default Inhalation Threshold, real-time discrete breath data is analyzed, obtains the analysis result of real-time discrete breath data.This method improves information acquisition efficiency, and the abundant information obtained by analyzing respiratory waveform data.
Description
Technical field
The present invention relates to field of medical technology more particularly to a kind of breath data processing method and processing devices.
Background technology
Breath signal in physiological signal is a kind of important time series signal, can be from different sensors equipment (chest
Band, pulse etc.) it obtains, breath signal is analyzed and excavates abnormal breathing signal therein, and analyzes its corresponding breathing
Event can have great help to the research in terms of many medicine.
The existing method handled breath signal has：Patent CN102266609A discloses a kind of number of lung ventilator
According to processing method and processing device, lung ventilator.Wherein, the data processing method of the lung ventilator includes：Lung ventilator reads user configuration number
According to；The lung ventilator obtains monitoring data；The lung ventilator shows the side of the monitoring data according to the user configuration data
Method；This method can enable lung ventilator show relevant monitoring information according to the demand of user.Patent CN105832334A is carried
A kind of breath analysis device, breath collection devices, data processing method and communication means are supplied, which includes：Receiver connects
Receive the breath data that breath collection devices are wirelessly sent；Controller generates respiratory rate data according to breath data.The invention
By receiving breath data that breath collection devices wirelessly send and respiratory rate data can be generated according to breath data, because
This user can understand the health condition of patient with reference to respiratory rate data.
In said program, patent CN102266609A be by reading user configuration data, and with reference to monitoring data, so as to
Related monitoring information is shown according to user demand, is only to add user configuration information, not to the breath data of monitoring
It is analysed in depth and is excavated；And patent CN105832334A is the original breath data for receiving breath collection devices acquisition,
And respiratory rate data are generated according to breath data, and due to needing that constantly original breath data are handled in real time, efficiency
It is relatively low, and the breath data generated is single.
Invention content
In order to solve the above technical problems, an embodiment of the present invention is intended to provide a kind of breath data processing method and processing device, solution
The problem of certainly existing scheme breath data processing method is less efficient, and the breath data generated is single.
The technical proposal of the invention is realized in this way：
The embodiment of the present invention provides a kind of breath data processing method, the method includes：
Read the respiratory waveform data in preset time period；
To respiratory waveform data progress data fitting, the Wave data curve after being fitted, and according to the wave
The waveform essential information of respiratory waveform data described in graphic data curve acquisition；
With reference to the waveform essential information and default expiration threshold value and default Inhalation Threshold, to real-time discrete breath data
It is analyzed, obtains the analysis result of real-time discrete breath data.
Described to carry out data fitting to the respiratory waveform data in said program, the Wave data after being fitted is bent
Line includes：
Fourier transformation is carried out to the respiratory waveform data, estimates the period of the respiratory waveform data；
It brings the period estimated into least square method, calculates the parameter of fourier function；
Fourier's curve matching, Fu of the respiratory waveform data after being fitted are carried out to the respiratory waveform data
In leaf curve.
It is described that real-time waveform data is analyzed in said program, after obtaining the analysis result of real-time waveform data
It further includes：
Judge whether the respiratory cycle in the obtained analysis result of real-time waveform data belongs to the model of default respiratory cycle
It encloses；
If being not belonging to, the respiratory cycle is substituted into the Wave data curve after fitting, corrects the waveform number after fitting
According to curve.
In said program, the respiratory waveform data read in preset time period include：
Respiratory waveform data are read by sensor, wherein, the respiratory waveform data are amplitude of respiration value.
In said program, the waveform essential information includes：Respiratory cycle, end of breath, air-breathing latter stage and current breathing
Moment.
The present invention also provides a kind of breath data processing unit, described device includes：Acquisition module, during for reading default
Between respiratory waveform data in section；
Data fitting module, for carrying out data fitting, the Wave data after being fitted to the respiratory waveform data
Curve, and according to the Wave data curve acquisition respiratory waveform data waveform essential information；
Data analysis module, with reference to the waveform essential information and default expiration threshold value and default Inhalation Threshold, to reality
When discrete breath data analyzed, obtain the analysis result of real-time discrete breath data.
In said program, the data fitting module is specifically used for：
Fourier transformation is carried out to the respiratory waveform data, estimates the period of the respiratory waveform data；
It brings the period estimated into least square method, calculates the parameter of fourier function；
Fourier's curve matching, Fu of the respiratory waveform data after being fitted are carried out to the respiratory waveform data
In leaf curve.
In said program, described device further includes：
Judgment module, for judging whether the respiratory cycle in the obtained analysis result of real-time waveform data belongs to default
The range of respiratory cycle；
Correcting module, for when the respiratory cycle in the analysis result of real-time waveform data that judge be not belonging to it is pre-
If the range of respiratory cycle, then the respiratory cycle is substituted into the Wave data curve after fitting, correct the waveform number after fitting
According to curve.
In said program, the acquisition module is specifically used for：
Respiratory waveform data are read by sensor, wherein, the respiratory waveform data are amplitude of respiration value.
In said program, the waveform essential information includes：Respiratory cycle, end of breath, air-breathing latter stage and current breathing
Moment.
The breath data processing method and processing device of the embodiment of the present invention, by the breath data to patient in a period of time into
Row is collected and is carried out curve fitting, and according to the essential information of the Wave data curve acquisition respiratory waveform data after fitting, is realized
Real-time discrete breath data is analyzed and excavated, so as to monitor the health status of patient in real time.This method improves letter
Breath obtains efficiency, and the abundant information obtained by analyzing respiratory waveform data.
Description of the drawings
Fig. 1 is the flow diagram of breath data processing method embodiment one provided by the invention；
Fig. 2 is the flow diagram of breath data processing method embodiment two provided by the invention；
Fig. 3 is Fourier's curve after fitting；
Fig. 4 is the flow diagram handled using the breath data processing unit of the present invention breath data；
Fig. 5 is the flow diagram that waveform essential information is obtained in Fig. 4；
Fig. 6 is the structure diagram of breath data processing unit embodiment one provided by the invention；
Fig. 7 is the structure diagram of breath data processing unit embodiment two provided by the invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes.
Fig. 1 is the flow diagram of breath data processing method embodiment one provided by the invention, as shown in Figure 1, this reality
The executive agent for applying example is breath data processing unit, and the breath data processing unit of the embodiment of the present invention can be computer, hand
The terminals such as machine.This method includes：
Step 101：Read the respiratory waveform data in preset time period.
In this step, can patient be read by different sensors equipment, such as nose, chest strap, pulse transducer etc.
Respiratory waveform data in preset time period, for example the respiratory waveform data of patient in N seconds are read, which can
Think breathing size, the size is as unit of millimeter, for example, 220mm, 221mm, 221mm ....
Illustrate the gatherer process of respiratory waveform data by taking nose respiration transducer as an example.Nose respiration transducer senses nose
Breathiness and generate breath data.For example, nose respiration transducer is configured in preset respiratory rate range and exhales
The sound of breathing gas is acquired in the range of sound-absorbing amount, and the breathing volume of the sound in the frequency range is recorded
Come.Specifically, the vibration of Breathiness is passed on the vibrating diaphragm of sensor, forms the electric current of variation.
It should be noted that meaning respiratory waveform data of the embodiment of the present invention include but are not limited to breathing size, may be used also
Think the measured value of other measurement breathings, the metric obtained for different sensors is different.
Step 102：To the progress data fitting of respiratory waveform data, the Wave data curve after being fitted, and according to wave
The waveform essential information of respiratory waveform data described in graphic data curve acquisition.
In this step, breath data processing unit is analyzed and is learnt to the respiratory waveform data of above-mentioned acquisition, with
Obtain the waveform essential information of respiratory waveform data.Specifically, the respiratory waveform data to acquisition are carried out using Fourier transformation
Data are fitted, so as to estimate the period of Wave data, and the Wave data curve after be fitted, according to curve acquisition breathing
The waveform essential information of Wave data, wherein, which includes：Respiratory cycle, end of breath, air-breathing latter stage and work as
The preceding breathing moment.
Step 103：With reference to waveform essential information and default expiration threshold value and default Inhalation Threshold, to real-time discrete breathing
Data are analyzed, and obtain the analysis result of real-time discrete breath data.
In this step, the waveform essential information and preset expiration threshold value and air-breathing threshold obtained according to step 102
Value analyzes real-time discrete breath data, obtains analysis result, monitors the healthy shape of patient in real time according to analysis result
Condition.
The breath data processing method of the present embodiment, is collected by the breath data to patient in a period of time and gone forward side by side
Row curve matching according to the essential information of the Wave data curve acquisition respiratory waveform data after fitting, is realized to discrete in real time
Breath data is analyzed and is excavated, so as to monitor the health status of patient in real time.This method improves information acquisition efficiency,
And the abundant information obtained by analyzing respiratory waveform data.
Fig. 2 is the flow diagram of breath data processing method embodiment two provided by the invention, as shown in Fig. 2, in reality
On the basis of applying example one, step 102 includes：
Step 1021：Fourier transformation is carried out to respiratory waveform data, estimates the period of respiratory waveform data.
In this step, according to Fourier transform formulaCalculate respiratory waveform
The period w of data, wherein, t is amplitude of respiration, i.e., the respiratory waveform data obtained in step 101, unit mm.
Step 1022：It brings the period estimated into least square method, calculates the parameter of fourier function.
Step 1023：Fourier's curve matching is carried out to respiratory waveform data, the respiratory waveform data after being fitted
Fourier's curve.
In step 1022 and step 1023, according to least square method formula
And formula f (x)=a0+a1cos (wx)+a2sin (wx), wherein,
Initial value a0=0；A1=0；A2=0；W is the periodic quantity estimated by above-mentioned Fourier transformation, calculates Fourier transformation
Parameters, so as to Fourier's curve after being fitted.
Wherein, Levenberg-Marquardt (LM) algorithm specifically may be used and carry out least square fitting, principle
It is repeated no more with process.
Fig. 3 is Fourier's curve after fitting, as shown in figure 3, wherein, abscissa is the sequence of point sets read in；Ordinate
The data of respiration transducer for reading, i.e. respiratory waveform data, unit mm；Continuous curve is that the Fourier after fitting is bent
Line.
In the present embodiment, the period of respiratory waveform data is quickly calculated by Fourier transformation, as initial value generation in period
In the calculating for entering least-squares algorithm, discrete waveform data are fitted to Fourier's curve using least-squares algorithm, so as to real
When obtain each discrete breath data where the respiratory cycle amplitude.
Further, real-time waveform data is analyzed in step 103, obtain real-time waveform data analysis result it
After further include：
Judge whether the respiratory cycle in the obtained analysis result of real-time waveform data belongs to the model of default respiratory cycle
It encloses；
If being not belonging to, the respiratory cycle is substituted into the Wave data curve after fitting, corrects the waveform number after fitting
According to curve；
If belonging to, flow terminates.
In the present embodiment, it if the obtained respiratory cycle is unsatisfactory for waveform essential information, recycles execution and is exhaled described
The step of inhaling the Wave data curve after period substitution fitting constantly corrects the Wave data curve after fitting；Wherein, meet wave
The basis for estimation of shape essential information is：Whether in the range of normal cycle of respiration, normal cycle of respiration is 3-5 seconds.
Further, the respiratory waveform data read in preset time period include：
Respiratory waveform data are read by sensor, wherein, the respiratory waveform data are amplitude of respiration value.
Further, the waveform essential information includes：When respiratory cycle, end of breath, air-breathing latter stage and current breathing
It carves.
Fig. 4 is the flow diagram that is handled breath data of breath data processing unit using the present invention, such as Fig. 4
Shown, this method includes：
Step 401：System obtains respiratory waveform data in real time；
Step 402：Obtain waveform essential information；
Step 403：Set end of breath and air-breathing latter stage threshold value；
Step 404：The analysis data of respiratory waveform data are obtained in real time；
Step 405：Judge whether to meet waveform essential information, if conditions are not met, performing step 403, otherwise perform step
406, flow terminates.
Step 406：Flow terminates.
Fig. 5 is the flow diagram that waveform essential information is obtained in Fig. 4, as shown in figure 5, the step includes：
Step 501：Read in the Wave data of N seconds；
Step 502：The period of Wave data is estimated by Fourier transformation；
Step 503：The parameters of Fourier's fitting are calculated by least square method；
Step 504：Show Fourier's curve.
Fig. 6 is the structure diagram of breath data processing unit embodiment one provided by the invention；As shown in fig. 6, this hair
Bright embodiment provides a kind of breath data processing unit, which includes：
Acquisition module 11, for reading the respiratory waveform data in preset time period；
Data fitting module 12, for carrying out data fitting, the waveform number after being fitted to the respiratory waveform data
According to curve, and according to the Wave data curve acquisition respiratory waveform data waveform essential information；
Data analysis module 13, it is right with reference to the waveform essential information and default expiration threshold value and default Inhalation Threshold
Real-time discrete breath data is analyzed, and obtains the analysis result of real-time discrete breath data.
The breath data processing unit of the embodiment of the present invention is dress corresponding with the breath data processing method of embodiment one
Embodiment is put, principle is similar with effect, and details are not described herein again.
Further, the data fitting module 12 is specifically used for：
Fourier transformation is carried out to the respiratory waveform data, estimates the period of the respiratory waveform data；
It brings the period estimated into least square method, calculates the parameter of fourier function；
Fourier's curve matching, Fu of the respiratory waveform data after being fitted are carried out to the respiratory waveform data
In leaf curve.
Fig. 7 is the structure diagram of breath data processing unit embodiment two provided by the invention；It is as shown in fig. 7, described
Device further includes：
Judgment module 14, for judging whether the respiratory cycle in the obtained analysis result of real-time waveform data belongs to pre-
If the range of respiratory cycle；
Correcting module 15, for being not belonging to when the respiratory cycle in the analysis result of real-time waveform data judged
The respiratory cycle is then substituted into the Wave data curve after fitting, corrects the waveform after fitting by the range of default respiratory cycle
Data and curves.
Further, the acquisition module 11 is specifically used for：
Respiratory waveform data are read by sensor, wherein, the respiratory waveform data are amplitude of respiration value.
Further, the waveform essential information includes：When respiratory cycle, end of breath, air-breathing latter stage and current breathing
It carves.
By the description of above embodiment of the method, it is apparent to those skilled in the art that the present invention can
Realized by the mode of software plus required general hardware platform, naturally it is also possible to by hardware, but in many cases the former
It is more preferably embodiment.Based on such understanding, technical scheme of the present invention substantially makes tribute to the prior art in other words
The part offered can be embodied in the form of software product, which is stored in a storage medium, packet
Including some instructions uses (can be personal computer, server or the network equipment etc.) so that computer equipment to perform
All or part of the steps of the method according to each embodiment of the present invention.And aforementioned storage medium includes：Read-only memory
(ROM), the various media that can store program code such as random access memory (RAM), magnetic disc or CD.
For convenience of description, it is divided into various units during description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit is realized can in the same or multiple software and or hardware during invention.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Point just to refer each other, and the highlights of each of the examples are difference from other examples.Especially for device or
For system embodiment, since it is substantially similar to embodiment of the method, so describing fairly simple, related part is referring to method
The part explanation of embodiment.Apparatus and system embodiment described above is only schematical, wherein the conduct
The unit that separating component illustrates may or may not be it is physically separate, the component shown as unit can be or
Person may not be physical unit, you can be located at a place or can also be distributed in multiple network element.It can root
Factually border needs to select some or all of module therein realize the purpose of this embodiment scheme.Ordinary skill
Personnel are without creative efforts, you can to understand and implement.
It should be noted that herein, the relational terms of such as " first " and " second " or the like are used merely to one
A entity or operation with another entity or operate distinguish, without necessarily requiring or implying these entities or operation it
Between there are any actual relationship or orders.Moreover, term " comprising ", "comprising" or its any other variant are intended to
Cover non-exclusive inclusion, so that process, method, article or equipment including a series of elements not only include those
Element, but also including other elements that are not explicitly listed or further include as this process, method, article or set
Standby intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
Also there are other identical elements in the process, method, article or apparatus that includes the element.
The above is only the specific embodiment of the present invention, is made skilled artisans appreciate that or realizing this hair
It is bright.A variety of modifications of these embodiments will be apparent to one skilled in the art, it is as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one
The most wide range caused.
Claims (10)
1. a kind of breath data processing method, which is characterized in that the method includes：
Read the respiratory waveform data in preset time period；
To respiratory waveform data progress data fitting, the Wave data curve after being fitted, and according to the waveform number
According to the waveform essential information of respiratory waveform data described in curve acquisition；
With reference to the waveform essential information and default expiration threshold value and default Inhalation Threshold, discrete breath data in real time is carried out
Analysis obtains the analysis result of real-time discrete breath data.
2. according to the method described in claim 1, it is characterized in that, it is described to the respiratory waveform data carry out data fitting,
Wave data curve after being fitted includes：
Fourier transformation is carried out to the respiratory waveform data, estimates the period of the respiratory waveform data；
It brings the period estimated into least square method, calculates the parameter of fourier function；
Fourier's curve matching, the Fourier of the respiratory waveform data after being fitted are carried out to the respiratory waveform data
Curve.
3. according to the method described in claim 1, it is characterized in that, described analyze real-time waveform data, obtain in real time
It is further included after the analysis result of Wave data：
Judge whether the respiratory cycle in the obtained analysis result of real-time waveform data belongs to the range of default respiratory cycle；
If being not belonging to, the respiratory cycle is substituted into the Wave data curve after fitting, it is bent to correct the Wave data after fitting
Line.
4. the according to the method described in claim 1, it is characterized in that, respiratory waveform data packet read in preset time period
It includes：
Respiratory waveform data are read by sensor, wherein, the respiratory waveform data are amplitude of respiration value.
5. according to Claims 1 to 4 any one of them method, which is characterized in that the waveform essential information includes：Breathing week
Phase, end of breath, air-breathing latter stage and current breathing moment.
6. a kind of breath data processing unit, which is characterized in that described device includes：
Acquisition module, for reading the respiratory waveform data in preset time period；
Data fitting module, for the respiratory waveform data carry out data fitting, the Wave data curve after being fitted,
And according to the Wave data curve acquisition respiratory waveform data waveform essential information；
Data analysis module, with reference to the waveform essential information and default expiration threshold value and default Inhalation Threshold, in real time from
Scattered breath data is analyzed, and obtains the analysis result of real-time discrete breath data.
7. device according to claim 6, which is characterized in that the data fitting module is specifically used for：
Fourier transformation is carried out to the respiratory waveform data, estimates the period of the respiratory waveform data；
It brings the period estimated into least square method, calculates the parameter of fourier function；
Fourier's curve matching, the Fourier of the respiratory waveform data after being fitted are carried out to the respiratory waveform data
Curve.
8. device according to claim 6, which is characterized in that described device further includes：
Judgment module, for judging whether the respiratory cycle in the obtained analysis result of real-time waveform data belongs to default breathing
The range in period；
Correcting module, for being not belonging to default exhale when the respiratory cycle in the analysis result of real-time waveform data judged
The range in period is inhaled, then the respiratory cycle is substituted into the Wave data curve after fitting, it is bent to correct the Wave data after fitting
Line.
9. device according to claim 6, which is characterized in that the acquisition module is specifically used for：
Respiratory waveform data are read by sensor, wherein, the respiratory waveform data are amplitude of respiration value.
10. according to claim 6~9 any one of them device, which is characterized in that the waveform essential information includes：Breathing
Period, end of breath, air-breathing latter stage and current breathing moment.
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| CN109589117A (en) * | 2018-10-31 | 2019-04-09 | 深圳市龙华区中心医院 | It is a kind of based on the Respiratory Medicine of big data patient monitor control method and system |
| CN110031676A (en) * | 2019-03-21 | 2019-07-19 | 国网浙江省电力有限公司电力科学研究院 | Corona current impulse waveform approximating method based on Fourier transformation |
| CN110189822A (en) * | 2019-05-23 | 2019-08-30 | 广州博而济信息科技有限公司 | A method of intellectual analysis is carried out based on mechanical ventilation parameters and waveform |
| CN113205022A (en) * | 2021-04-23 | 2021-08-03 | 湖南万脉医疗科技有限公司 | Respiratory anomaly monitoring method and system based on wavelet analysis |
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