CN108186018B - Respiration data processing method and device - Google Patents
Respiration data processing method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for processing respiratory data, wherein the method comprises the following steps: performing data fitting on the respiratory waveform data to obtain a fitted waveform data curve, and acquiring waveform basic information of the respiratory waveform data according to the waveform data curve; and analyzing the real-time discrete respiration data by combining the waveform basic information and the preset expiration threshold and the preset inspiration threshold to obtain an analysis result of the real-time discrete respiration data. The method improves the information acquisition efficiency, and the information obtained by analyzing the respiratory waveform data is rich.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a method and a device for processing respiratory data.
Background
The respiration signals in the physiological signals are important time sequence signals, can be acquired from different sensor devices (chest belts, pulses and the like), are analyzed, abnormal respiration signals in the respiration signals are mined, and the corresponding respiration events are analyzed, so that great help can be brought to the research of many medical aspects.
The existing methods for processing the respiratory signal include: patent CN102266609A discloses a data processing method and device for a ventilator, and a ventilator. The data processing method of the breathing machine comprises the following steps: the breathing machine reads the user configuration data; the ventilator acquires monitoring data; a method of the ventilator displaying the monitoring data according to the user configuration data; the method can enable the breathing machine to display relevant monitoring information according to the requirements of the user. Patent CN105832334A provides a breath analysis device, a breath collection device, a data processing method and a communication method, the device including: a receiver to receive breath data wirelessly transmitted by a breath acquisition device; and the controller generates respiratory frequency data according to the respiratory data. The invention can generate the respiratory frequency data according to the respiratory data by receiving the respiratory data wirelessly transmitted by the respiratory acquisition device, so that a user can know the health condition of a patient by referring to the respiratory frequency data.
In the above solution, the patent CN102266609A shows related monitoring information according to the user requirement by reading the user configuration data and combining the monitoring data, which only adds the user configuration information and does not perform deep analysis and mining on the monitored respiratory data; and patent CN105832334A is to receive the original respiratory data collected by the respiratory collection device and generate respiratory frequency data according to the respiratory data, and because the original respiratory data needs to be processed continuously in real time, the efficiency is low and the generated respiratory data is single.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention are intended to provide a method and an apparatus for processing respiratory data, which solve the problems of low efficiency and single generated respiratory data of the existing respiratory data processing method.
The technical scheme of the invention is realized as follows:
the embodiment of the invention provides a respiratory data processing method, which comprises the following steps:
reading respiratory waveform data in a preset time period;
performing data fitting on the respiratory waveform data to obtain a fitted waveform data curve, and acquiring waveform basic information of the respiratory waveform data according to the waveform data curve;
and analyzing the real-time discrete respiration data by combining the waveform basic information and the preset expiration threshold and the preset inspiration threshold to obtain an analysis result of the real-time discrete respiration data.
In the above scheme, the data fitting of the respiratory waveform data to obtain a fitted waveform data curve includes:
carrying out Fourier transform on the respiratory waveform data, and predicting the period of the respiratory waveform data;
substituting the estimated period into a least square method, and calculating parameters of a Fourier function;
and performing Fourier curve fitting on the respiratory waveform data to obtain a Fourier curve of the respiratory waveform data after fitting.
In the foregoing solution, the analyzing the real-time waveform data to obtain an analysis result of the real-time waveform data further includes:
judging whether the respiratory cycle in the analysis result of the obtained real-time waveform data belongs to the range of a preset respiratory cycle;
and if not, substituting the respiration cycle into the fitted waveform data curve, and correcting the fitted waveform data curve.
In the foregoing scheme, the reading respiratory waveform data in a preset time period includes:
reading respiratory waveform data through a sensor, wherein the respiratory waveform data is a respiratory amplitude value.
In the foregoing solution, the waveform basic information includes: a respiratory cycle, an end-expiration, an end-inspiration and a current respiratory moment.
The present invention also provides a respiratory data processing apparatus, the apparatus comprising: the acquisition module is used for reading respiratory waveform data in a preset time period;
the data fitting module is used for performing data fitting on the respiratory waveform data to obtain a fitted waveform data curve and acquiring waveform basic information of the respiratory waveform data according to the waveform data curve;
and the data analysis module is used for analyzing the real-time discrete respiratory data by combining the waveform basic information, the preset expiration threshold and the preset inspiration threshold to obtain an analysis result of the real-time discrete respiratory data.
In the foregoing solution, the data fitting module is specifically configured to:
carrying out Fourier transform on the respiratory waveform data, and predicting the period of the respiratory waveform data;
substituting the estimated period into a least square method, and calculating parameters of a Fourier function;
and performing Fourier curve fitting on the respiratory waveform data to obtain a Fourier curve of the respiratory waveform data after fitting.
In the above scheme, the apparatus further comprises:
the judging module is used for judging whether the respiratory cycle in the analysis result of the obtained real-time waveform data belongs to the range of the preset respiratory cycle;
and the correction module is used for substituting the respiration cycle into the fitted waveform data curve and correcting the fitted waveform data curve when the respiration cycle in the analysis result of the obtained real-time waveform data does not belong to the range of the preset respiration cycle.
In the above scheme, the acquisition module is specifically configured to:
reading respiratory waveform data through a sensor, wherein the respiratory waveform data is a respiratory amplitude value.
In the foregoing solution, the waveform basic information includes: a respiratory cycle, an end-expiration, an end-inspiration and a current respiratory moment.
According to the respiratory data processing method and device provided by the embodiment of the invention, the respiratory data of the patient in a period of time are collected and subjected to curve fitting, and the basic information of respiratory waveform data is obtained according to the fitted waveform data curve, so that the real-time discrete respiratory data is analyzed and mined, and the health condition of the patient can be monitored in real time. The method improves the information acquisition efficiency, and the information obtained by analyzing the respiratory waveform data is rich.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a method for processing respiratory data according to the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of a method for processing respiratory data according to the present invention;
FIG. 3 is a fitted Fourier curve;
FIG. 4 is a schematic flow chart illustrating the processing of respiratory data by the respiratory data processing apparatus of the present invention;
FIG. 5 is a schematic diagram of a process for acquiring basic waveform information in FIG. 4;
fig. 6 is a schematic structural diagram of a first embodiment of a respiratory data processing apparatus according to the present invention;
fig. 7 is a schematic structural diagram of a second embodiment of a respiratory data processing apparatus according to the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Fig. 1 is a schematic flow chart of a first embodiment of a respiratory data processing method according to the present invention, and as shown in fig. 1, an execution main body of the embodiment is a respiratory data processing apparatus, and the respiratory data processing apparatus according to the embodiment of the present invention may be a terminal such as a computer, a mobile phone, and the like. The method comprises the following steps:
step 101: and reading the respiratory waveform data in a preset time period.
In this step, the respiratory waveform data of the patient in a preset time period, such as the respiratory waveform data of the patient in N seconds, which may be the respiratory size in millimeters, for example 220mm,221mm,221mm …, may be read by different sensor devices, such as the nose, the chest belt, the pulse sensor, etc.
The process of collecting respiratory waveform data is described by taking a nasal respiratory sensor as an example. A nasal breathing sensor senses nasal breathing sounds and generates breathing data. For example, a nasal breathing sensor is configured to collect sounds of breathing gas over a preset breathing frequency range and breathing volume range and record the breathing volume of sounds within that frequency range. Specifically, the vibrations of the breathing sound are transmitted to the diaphragm of the sensor, forming a varying current.
It should be noted that the respiratory waveform data according to the embodiments of the present invention includes, but is not limited to, respiration size, and may be other measured values for measuring respiration, and the measured values obtained by different sensors are different.
Step 102: and performing data fitting on the respiratory waveform data to obtain a fitted waveform data curve, and acquiring waveform basic information of the respiratory waveform data according to the waveform data curve.
In this step, the respiratory data processing device analyzes and learns the acquired respiratory waveform data to acquire waveform basic information of the respiratory waveform data. Specifically, data fitting is carried out on the collected respiratory waveform data by adopting Fourier transform, so that the period of the waveform data is estimated, a fitted waveform data curve is obtained, and waveform basic information of the respiratory waveform data is obtained according to the curve, wherein the waveform basic information comprises: a respiratory cycle, an end-expiration, an end-inspiration and a current respiratory moment.
Step 103: and analyzing the real-time discrete respiration data by combining the waveform basic information, the preset expiration threshold and the preset inspiration threshold to obtain an analysis result of the real-time discrete respiration data.
In this step, the real-time discrete respiration data is analyzed according to the waveform basic information obtained in step 102, and the preset exhalation threshold and inhalation threshold, so as to obtain an analysis result, and the health condition of the patient is monitored in real time according to the analysis result.
According to the respiration data processing method, the respiration data of the patient in a period of time are collected and subjected to curve fitting, the basic information of the respiration waveform data is obtained according to the fitted waveform data curve, and the real-time discrete respiration data is analyzed and mined, so that the health condition of the patient can be monitored in real time. The method improves the information acquisition efficiency, and the information obtained by analyzing the respiratory waveform data is rich.
Fig. 2 is a schematic flow chart of a second embodiment of the respiratory data processing method provided in the present invention, as shown in fig. 2, based on the first embodiment, step 102 includes:
step 1021: and performing Fourier transform on the respiratory waveform data, and predicting the period of the respiratory waveform data.
In this step, according to the Fourier transform formula
The period w of the respiratory waveform data is calculated, where t is the respiratory amplitude, i.e. the respiratory waveform data acquired in step 101, in mm.
Step 1022: and substituting the estimated period into a least square method, and calculating parameters of the Fourier function.
Step 1023: and performing Fourier curve fitting on the respiratory waveform data to obtain a Fourier curve of the fitted respiratory waveform data.
In step 1022 and step 1023, the least squares formula is used
The least square fitting can be performed by using a Levenberg-Marquardt (LM) algorithm, and the principle and the process are not described in detail.
FIG. 3 is a fitted Fourier curve, as shown in FIG. 3, in which the abscissa is the sequence of the set of points read in; the ordinate is the data of the respiratory sensor read in, namely respiratory waveform data, and the unit is mm; the continuous curve is the fitted fourier curve.
In this embodiment, the period of the respiratory waveform data is calculated quickly through fourier transform, and the period is substituted into the calculation of the least square algorithm as the initial value of the period, and the discrete waveform data is fitted into a fourier curve by using the least square algorithm, so that the amplitude of the respiratory period of each discrete respiratory data is obtained in real time.
Further, after analyzing the real-time waveform data in step 103 to obtain an analysis result of the real-time waveform data, the method further includes:
judging whether the respiratory cycle in the analysis result of the obtained real-time waveform data belongs to the range of a preset respiratory cycle;
if not, substituting the respiration cycle into the fitted waveform data curve, and correcting the fitted waveform data curve;
if yes, the process is ended.
In this embodiment, if the obtained breathing cycle does not satisfy the waveform basic information, the step of substituting the breathing cycle into the fitted waveform data curve is executed in a circulating manner, and the fitted waveform data curve is continuously corrected; the judgment basis meeting the waveform basic information is as follows: whether within the range of normal breathing cycles, the normal breathing cycle is 3-5 seconds.
Further, the reading the respiratory waveform data within the preset time period comprises:
reading respiratory waveform data through a sensor, wherein the respiratory waveform data is a respiratory amplitude value.
Further, the waveform basic information includes: a respiratory cycle, an end-expiration, an end-inspiration and a current respiratory moment.
Fig. 4 is a schematic flow chart of processing respiratory data by using the respiratory data processing apparatus of the present invention, and as shown in fig. 4, the method includes:
step 401: the system acquires respiratory waveform data in real time;
step 402: acquiring basic information of a waveform;
step 403: setting thresholds of an end expiration period and an end inspiration period;
step 404: acquiring analysis data of the respiratory waveform data in real time;
step 405: and judging whether the waveform basic information is satisfied, if not, executing the step 403, otherwise, executing the step 406, and ending the process.
Step 406: the flow ends.
Fig. 5 is a schematic flowchart of the process of acquiring the basic information of the waveform in fig. 4, as shown in fig. 5, the step includes:
step 501: reading N seconds of waveform data;
step 502: estimating the period of the waveform data through Fourier transform;
step 503: calculating each parameter of Fourier fitting by a least square method;
step 504: the fourier curves are displayed.
Fig. 6 is a schematic structural diagram of a first embodiment of a respiratory data processing apparatus according to the present invention; as shown in fig. 6, an embodiment of the present invention provides a respiratory data processing apparatus, including:
the acquisition module 11 is used for reading respiratory waveform data in a preset time period;
the data fitting module 12 is configured to perform data fitting on the respiratory waveform data to obtain a fitted waveform data curve, and obtain waveform basic information of the respiratory waveform data according to the waveform data curve;
and the data analysis module 13 is used for analyzing the real-time discrete respiratory data by combining the waveform basic information, the preset expiration threshold and the preset inspiration threshold to obtain an analysis result of the real-time discrete respiratory data.
The respiratory data processing apparatus according to the embodiment of the present invention is an embodiment of an apparatus corresponding to the respiratory data processing method according to the first embodiment, and the principle and effect thereof are similar and will not be described herein again.
Further, the data fitting module 12 is specifically configured to:
carrying out Fourier transform on the respiratory waveform data, and predicting the period of the respiratory waveform data;
substituting the estimated period into a least square method, and calculating parameters of a Fourier function;
and performing Fourier curve fitting on the respiratory waveform data to obtain a Fourier curve of the respiratory waveform data after fitting.
Fig. 7 is a schematic structural diagram of a second embodiment of a respiratory data processing apparatus according to the present invention; as shown in fig. 7, the apparatus further includes:
the judging module 14 is configured to judge whether a respiratory cycle in an analysis result of the obtained real-time waveform data belongs to a range of a preset respiratory cycle;
and the correcting module 15 is configured to substitute the breathing cycle into the fitted waveform data curve to correct the fitted waveform data curve when it is determined that the breathing cycle in the analysis result of the obtained real-time waveform data does not belong to the range of the preset breathing cycle.
Further, the acquisition module 11 is specifically configured to:
reading respiratory waveform data through a sensor, wherein the respiratory waveform data is a respiratory amplitude value.
Further, the waveform basic information includes: a respiratory cycle, an end-expiration, an end-inspiration and a current respiratory moment.
Through the above description of the method embodiments, those skilled in the art can clearly understand that the present invention can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media that can store program codes, such as Read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and so on.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in a plurality of software and/or hardware when implementing the invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for apparatus or system embodiments, since they are substantially similar to method embodiments, they are described in relative terms, as long as they are described in partial descriptions of method embodiments. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (4)
1. A respiratory data processing apparatus, the apparatus comprising:
the acquisition module is used for reading respiratory waveform data in a preset time period;
the data fitting module is used for performing data fitting on the respiratory waveform data to obtain a fitted waveform data curve and acquiring waveform basic information of the respiratory waveform data according to the waveform data curve;
the data analysis module is used for analyzing the real-time discrete respiratory data by combining the waveform basic information, a preset expiration threshold and a preset inspiration threshold to obtain an analysis result of the real-time discrete respiratory data;
the judging module is used for judging whether the respiratory cycle in the analysis result of the obtained real-time waveform data belongs to the range of the preset respiratory cycle;
and the correction module is used for substituting the respiration cycle into the fitted waveform data curve and correcting the fitted waveform data curve when the respiration cycle in the analysis result of the obtained real-time waveform data does not belong to the range of the preset respiration cycle.
2. The apparatus of claim 1, wherein the data fitting module is specifically configured to:
carrying out Fourier transform on the respiratory waveform data, and predicting the period of the respiratory waveform data;
substituting the estimated period into a least square method, and calculating parameters of a Fourier function;
and performing Fourier curve fitting on the respiratory waveform data to obtain a Fourier curve of the respiratory waveform data after fitting.
3. The apparatus of claim 1, wherein the acquisition module is specifically configured to:
reading respiratory waveform data through a sensor, wherein the respiratory waveform data is a respiratory amplitude value.
4. The apparatus according to any one of claims 1 to 3, wherein the waveform basic information includes: a respiratory cycle, an end-expiration, an end-inspiration and a current respiratory 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 |
| CN113205022B (en) * | 2021-04-23 | 2022-10-11 | 湖南万脉医疗科技有限公司 | Respiratory anomaly monitoring method and system based on wavelet analysis |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103761745A (en) * | 2013-07-31 | 2014-04-30 | 深圳大学 | Estimation method and system for lung motion model |
| CN105167777A (en) * | 2015-09-15 | 2015-12-23 | 天津大学 | Mainstream type synchronous monitoring device and method for multiple kinds of breathing gas concentrations and breathing gas pressure |
| CN105283128A (en) * | 2014-06-03 | 2016-01-27 | 创探科技股份公司 | Respiratory movement measuring device |
| WO2017072568A1 (en) * | 2015-11-01 | 2017-05-04 | Elfi-Tech Ltd. | Method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic light scattering (dls) |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101991418A (en) * | 2009-08-14 | 2011-03-30 | 深圳市理邦精密仪器股份有限公司 | Method for improving respiratory rate detection accuracy |
| US9392962B2 (en) * | 2011-04-01 | 2016-07-19 | Varian Medical Systems, Inc. | Prediction of breathing signal and determining non-periodicity of breathing using signal-phase histogram |
| CN105361885B (en) * | 2014-08-26 | 2018-12-11 | 雃博股份有限公司 | Respiratory waveform identification system |
| EP2989979B8 (en) * | 2014-08-27 | 2022-02-16 | Wellell Inc. | Respiratory waveform recognition method and system |
| CN104573458B (en) * | 2014-12-30 | 2017-05-31 | 深圳先进技术研究院 | A kind of personal identification method based on electrocardiosignal, apparatus and system |
| CN106037743B (en) * | 2016-05-19 | 2019-10-29 | 广东宝莱特医用科技股份有限公司 | A kind of method and apparatus extracting respiratory rate |
| CN106037651B (en) * | 2016-06-14 | 2019-03-08 | 临海楠竹电子科技有限公司 | A kind of heart rate detection method and system |
| CN106372588A (en) * | 2016-08-30 | 2017-02-01 | 苏州品诺维新医疗科技有限公司 | Respiratory rate detection device and method |
-
2017
- 2017-11-23 CN CN201711178719.4A patent/CN108186018B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103761745A (en) * | 2013-07-31 | 2014-04-30 | 深圳大学 | Estimation method and system for lung motion model |
| CN105283128A (en) * | 2014-06-03 | 2016-01-27 | 创探科技股份公司 | Respiratory movement measuring device |
| CN105167777A (en) * | 2015-09-15 | 2015-12-23 | 天津大学 | Mainstream type synchronous monitoring device and method for multiple kinds of breathing gas concentrations and breathing gas pressure |
| WO2017072568A1 (en) * | 2015-11-01 | 2017-05-04 | Elfi-Tech Ltd. | Method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic light scattering (dls) |
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