A breathing recognition method and device, ventilation equipment, and storage medium

Abstract

An embodiment of the present invention discloses a breathing recognition method, which is applied to a ventilation device. The method includes: obtaining airway pressure and gas flow rate during mechanical ventilation; determining cross-correlation data corresponding to the airway pressure and the gas flow rate based on the airway pressure and the gas flow rate; and identifying the patient's breathing state based on changes in the cross-correlation data.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of medical device technology, and in particular to a breathing recognition method and device, ventilation equipment, and storage medium. Background Art

[0002] When ventilators, anesthesia machines and other ventilation equipment are performing mechanical ventilation on patients, they need to identify the patient's breathing in real time to determine whether the patient is experiencing suffocation or other conditions, or to trigger the corresponding ventilation mode to achieve the purpose of human-machine synchronization.

[0003] At present, there are many methods for breathing recognition: recognition based on diaphragm electricity, judging the patient's breathing by measuring the diaphragm electrical activity; recognition based on abdominal sensors, monitoring the patient's abdominal movements through abdominal sensors to identify whether the patient has spontaneous breathing.

[0004] However, the above-mentioned breathing recognition method may be affected by the outside world, the ventilation equipment itself, or the difficulty of the test, which may lead to inaccurate breathing recognition or even misidentification. Summary of the invention

[0005] In order to solve the above technical problems, the embodiments of the present invention hope to provide a breathing recognition method and device, ventilation equipment, and storage medium, which can identify the patient's breathing state according to the changes in the cross-correlation data of airway pressure and gas flow rate when the patient is mechanically ventilated, thereby effectively reducing the impact of interference signals on breathing recognition and improving the accuracy of breathing recognition.

[0006] The technical solution of the embodiment of the present invention can be implemented as follows:

[0007] An embodiment of the present invention provides a breathing recognition method, which is applied to a ventilation device. The method includes:

[0008] During mechanical ventilation, obtain airway pressure and gas flow rate;

[0009] Determining cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate;

[0010] The respiratory state of the patient is identified based on the change of the cross-correlation data.

[0011] In the above scheme, determining the cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate includes:

[0012] According to a preset signal sampling rate and a preset sampling time, a cross-correlation calculation is performed on the airway pressure and the gas flow rate to obtain the cross-correlation data.

[0013] In the above scheme, performing cross-correlation calculation on the airway pressure and the gas flow rate according to a preset signal sampling rate and a preset sampling time to obtain the cross-correlation data includes:

[0014] According to the preset signal sampling rate, respectively obtaining a first sampling value corresponding to the airway pressure within the preset sampling time and a second sampling value corresponding to the gas flow rate;

[0015] A cross-correlation calculation is performed on the first sampling value and the second sampling value to obtain the cross-correlation data.

[0016] In the above solution, the patient's respiratory state includes spontaneous inhalation and / or spontaneous exhalation. After identifying the patient's respiratory state according to the change of the cross-correlation data, the method further includes:

[0017] The ventilation device is controlled to switch the ventilation mode according to the identified breathing state of the patient.

[0018] In the above scheme, the step of controlling the ventilation device to switch the ventilation mode according to the identified breathing state of the patient includes:

[0019] If the patient's breathing state changes from spontaneous exhalation to spontaneous inhalation, triggering the ventilation device to enter an inspiratory ventilation mode;

[0020] If the patient's breathing state changes from spontaneous inhalation to spontaneous exhalation, the ventilation device is triggered to enter an expiratory ventilation mode.

[0021] In the above scheme, the gas flow rate is a respiratory flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0022] If the cross-correlation data is greater than a first preset threshold, determining that the patient's breathing state is spontaneous inhalation;

[0023] If the cross-correlation data is less than a second preset threshold, it is determined that the patient's breathing state is spontaneous exhalation.

[0024] In the above scheme, the gas flow rate is the gas delivery flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0025] determining a parameter baseline corresponding to the cross-correlation data;

[0026] If the cross-correlation data is greater than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a third preset threshold, then determining that the patient's breathing state is spontaneous exhalation;

[0027] If the cross-correlation data is less than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a fourth preset threshold, it is determined that the patient's breathing state is spontaneous inhalation.

[0028] In the above scheme, the step of determining the parameter baseline corresponding to the cross-correlation data includes:

[0029] Calculating the cross-correlation data in a first time period;

[0030] The cross-correlation data in the first time period is low-pass filtered to obtain the parameter baseline.

[0031] In the above scheme, the patient's respiratory state includes suffocation, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0032] If the fluctuation amplitude of the cross-correlation data is less than a preset fluctuation amplitude threshold, the patient's respiratory state is determined to be asphyxia.

[0033] In the above scheme, the patient's breathing state includes assisted inspiration and / or assisted exhalation.

[0034] In the above solution, after identifying the patient's respiratory state according to the change of the cross-correlation data, the method further includes:

[0035] The identified breathing state of the patient is compared to see whether it matches the current ventilation mode of the ventilation device, and the comparison result is output.

[0036] In the above scheme, the gas flow rate is a respiratory flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0037] If the cross-correlation data is greater than zero, it is determined that the patient's respiratory state is assisted inspiration;

[0038] If the cross-correlation data is less than zero, it is determined that the patient's breathing state is assisted exhalation.

[0039] In the above scheme, the gas flow rate is the gas delivery flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0040] If the cross-correlation data increases, it is determined that the patient's respiratory state is assisted inspiration;

[0041] If the cross-correlation data decreases, it is determined that the patient's breathing state is assisted exhalation.

[0042] An embodiment of the present invention provides a breathing recognition device, the device comprising:

[0043] An acquisition module, which acquires airway pressure and gas flow rate during mechanical ventilation; the gas flow rate is a respiratory flow rate or a gas delivery flow rate;

[0044] The processing module determines the cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate; and identifies whether spontaneous breathing occurs according to changes in the cross-correlation data.

[0045] In the above device, the processing module performs cross-correlation calculation on the airway pressure and the gas flow rate according to a preset signal sampling rate and a preset sampling time to obtain the cross-correlation data.

[0046] In the above-mentioned device, the processing module obtains the first sampling value corresponding to the airway pressure within the preset sampling time and the second sampling value corresponding to the gas flow rate according to the preset signal sampling rate; performs cross-correlation calculation on the first sampling value and the second sampling value to obtain the cross-correlation data.

[0047] In the above device, the patient's breathing state includes spontaneous inhalation and / or spontaneous exhalation,

[0048] After the processing module identifies the patient's respiratory state according to the change in the cross-correlation data, the processing module controls the ventilation device to switch the ventilation mode according to the identified patient's respiratory state.

[0049] In the above device, the step of the processing module controlling the ventilation device to switch the ventilation mode according to the identified breathing state of the patient includes:

[0050] If the patient's breathing state changes from spontaneous exhalation to spontaneous inhalation, triggering the ventilation device to enter an inspiratory ventilation mode;

[0051] If the patient's breathing state changes from spontaneous inhalation to spontaneous exhalation, the ventilation device is triggered to enter an expiratory ventilation mode.

[0052] In the above device, the gas flow rate is a respiratory flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0053] If the cross-correlation data is greater than a first preset threshold, determining that the patient's breathing state is spontaneous inhalation;

[0054] If the cross-correlation data is less than a second preset threshold, it is determined that the patient's breathing state is spontaneous exhalation.

[0055] In the above device, the gas flow rate is the gas delivery flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0056] determining a parameter baseline corresponding to the cross-correlation data;

[0057] If the cross-correlation data is greater than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a third preset threshold, then determining that the patient's breathing state is spontaneous exhalation;

[0058] If the cross-correlation data is less than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a fourth preset threshold, it is determined that the patient's breathing state is spontaneous inhalation.

[0059] In the above device, the step of the processing module determining the parameter baseline corresponding to the cross-correlation data includes:

[0060] Calculating the cross-correlation data in a first time period;

[0061] The cross-correlation data in the first time period is low-pass filtered to obtain the parameter baseline.

[0062] In the above device, the patient's respiratory state includes suffocation, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0063] If the fluctuation amplitude of the cross-correlation data is less than a preset fluctuation amplitude threshold, the patient's respiratory state is determined to be asphyxia.

[0064] In the above device, the patient's breathing state includes assisted inspiration and / or assisted exhalation.

[0065] In the above device, after the processing module identifies the patient's respiratory state according to the change of the cross-correlation data, it compares whether the identified patient's respiratory state matches the current ventilation mode of the ventilation device, and outputs the comparison result.

[0066] In the above device, the gas flow rate is a respiratory flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0067] If the cross-correlation data is greater than zero, it is determined that the patient's respiratory state is assisted inspiration;

[0068] If the cross-correlation data is less than zero, it is determined that the patient's breathing state is assisted exhalation.

[0069] In the above device, the gas flow rate is the gas delivery flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0070] If the cross-correlation data increases, it is determined that the patient's respiratory state is assisted inspiration;

[0071] If the cross-correlation data decreases, it is determined that the patient's breathing state is assisted exhalation.

[0072] The embodiment of the present invention provides a ventilation device including the above-mentioned breathing recognition device, including an air source, a breathing circuit, a display and a controller;

[0073] The gas source provides gas during mechanical ventilation;

[0074] The breathing circuit is connected to the gas source to provide an inhalation and exhalation path during the mechanical ventilation;

[0075] The breathing recognition device is connected to the breathing circuit and the controller;

[0076] The breathing recognition device recognizes the patient's breathing state during the mechanical ventilation;

[0077] The controller is also connected to the gas source to control the process of mechanical ventilation;

[0078] The display is connected to the controller and displays the respiratory waveform during the mechanical ventilation process.

[0079] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a breathing recognition program, and the breathing recognition program can be executed by a processor to implement the above-mentioned breathing recognition method.

[0080] It can be seen that in the technical solution of the embodiment of the present invention, during mechanical ventilation, the airway pressure and gas flow rate are obtained; based on the airway pressure and the gas flow rate, the cross-correlation data corresponding to the airway pressure and the gas flow rate are determined; and the patient's respiratory state is identified based on the change in the cross-correlation data. In other words, the technical solution provided by the embodiment of the present invention can identify the patient's respiratory state based on the change in the cross-correlation data of the airway pressure and the gas flow rate when the patient is mechanically ventilated, thereby effectively reducing the impact of interference signals on respiratory identification and improving the accuracy of respiratory identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 A schematic diagram of a flow chart of a breathing recognition method provided by an embodiment of the present invention;

[0082] FIG. 2( a) is a waveform diagram of an exemplary respiratory flow rate provided in an embodiment of the present invention;

[0083] FIG. 2( b ) is a waveform diagram of an exemplary airway pressure provided by an embodiment of the present invention. Figure 1;

[0084] FIG. 2( c ) is a waveform diagram of an exemplary cross-correlation data provided by an embodiment of the present invention. Figure 1 ;

[0085] FIG3( a) is a waveform diagram of an exemplary gas flow rate provided in an embodiment of the present invention;

[0086] FIG3( b ) is a second waveform diagram of an exemplary airway pressure provided in an embodiment of the present invention;

[0087] FIG3( c ) is a second waveform diagram of an exemplary cross-correlation data provided by an embodiment of the present invention;

[0088] FIG4( a) is a waveform diagram of an exemplary gas flow velocity when water accumulates in a pipeline provided by an embodiment of the present invention;

[0089] FIG4( b ) is a schematic diagram of an exemplary waveform of airway pressure when water accumulates in a pipeline provided by an embodiment of the present invention;

[0090] FIG4( c ) is a waveform diagram of cross-correlation data when water accumulates in a pipeline according to an exemplary embodiment of the present invention;

[0091] Figure 5 A schematic diagram of an exemplary parameter baseline provided for an embodiment of the present invention;

[0092] Figure 6 A schematic diagram of the structure of a breathing recognition device provided by an embodiment of the present invention;

[0093] Figure 7 A schematic structural diagram of a ventilation device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0094] In order to enable a more detailed understanding of the features and technical contents of the embodiments of the present invention, the implementation of the embodiments of the present invention is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not intended to limit the embodiments of the present invention.

[0095] The embodiment of the present invention provides a breathing recognition method, which is applied to ventilation equipment. It should be noted that in the embodiment of the present invention, the breathing recognition method is performed by a breathing recognition device. Figure 6 The structure diagram of a breathing recognition device provided by an embodiment of the present invention is shown in FIG. Figure 6 As shown, the breathing recognition device includes: an acquisition module 601 and a processing module 602. The breathing recognition method of the present invention is described below based on the breathing recognition device.

[0096] Figure 1A flow chart of a breathing recognition method provided by an embodiment of the present invention. Figure 1 As shown, the breathing recognition method mainly includes the following steps:

[0097] S101. During mechanical ventilation, obtain airway pressure and gas flow rate.

[0098] In an embodiment of the present invention, the acquisition module 601 in the breathing recognition device can acquire the airway pressure and gas flow rate in real time during mechanical ventilation.

[0099] It should be noted that, in the embodiment of the present invention, the gas flow rate is the gas delivery flow rate or the breathing flow rate, and the specific gas flow rate is not limited in the embodiment of the present invention.

[0100] It should be noted that, in the embodiment of the present invention, the ventilation device may be a medical device with ventilation function such as a ventilator anesthesia machine, including a breathing recognition device. The embodiment of the present invention does not limit the specific ventilation device.

[0101] It should be noted that, in the embodiment of the present invention, the acquisition module 601 acquires the airway pressure and the gas flow rate continuously, that is, the acquisition module 601 always acquires the airway pressure and the gas flow rate from the beginning to the end of mechanical ventilation.

[0102] It can be understood that in the embodiments of the present invention, an acquisition module 601 can be set in the breathing circuit of the ventilation equipment, and the acquisition module 601 can specifically include different sensors, such as a pressure sensor and a flow sensor, for obtaining airway pressure and gas flow rate in real time. The specific method of obtaining airway pressure and gas flow rate is not limited in the embodiments of the present invention.

[0103] S102: Determine cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate.

[0104] In an embodiment of the present invention, after the acquisition module 601 in the breathing recognition device acquires the airway pressure and the gas flow rate, the processing module 602 may determine the cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate.

[0105] In an embodiment of the present invention, the processing module 602 determines the cross-correlation data corresponding to the airway pressure and the gas flow rate based on the airway pressure and the gas flow rate, including: performing cross-correlation calculation on the airway pressure and the gas flow rate according to a preset signal sampling rate and a preset sampling time to obtain cross-correlation data.

[0106] It should be noted that, in the embodiment of the present invention, medical personnel can determine the signal sampling rate and sampling time according to actual needs, and set the determined signal sampling rate and sampling time in the processing module 602, that is, the preset signal sampling rate and preset sampling time can be pre-stored in the processing module 602. The specific preset signal sampling rate and preset sampling time are not limited in the embodiment of the present invention.

[0107] Specifically, in an embodiment of the present invention, the processing module 602 performs cross-correlation calculation on the airway pressure and the gas flow rate according to a preset signal sampling rate and a preset sampling time to obtain cross-correlation data, including: obtaining a first sampling value corresponding to the airway pressure within a preset sampling time and a second sampling value corresponding to the gas flow rate according to the preset signal sampling rate; performing cross-correlation calculation on the first sampling value and the second sampling value to obtain cross-correlation data.

[0108] It should be noted that, in the embodiment of the present invention, the preset signal sampling rate can represent the number of airway pressure values ​​and the number of gas flow rate values ​​that can be obtained within 1 second, and the preset sampling time specifically limits the acquisition time, that is, if the preset signal sampling rate is 1KHZ and the preset sampling time is 20ms, the preset signal sampling rate of 1KHZ means that 1000 sampling values ​​corresponding to the airway pressure and 1000 sampling values ​​corresponding to the gas flow rate can be obtained within 1 second, and the preset sampling time is limited to 20ms, which means that the processing module 602 actually obtains the airway pressure through the acquisition module 602. 01 obtains the airway pressure and gas flow rate of 20ms. Therefore, according to the preset signal sampling rate of 1KHZ, the processing module 602 can obtain 20 sampling values ​​corresponding to the airway pressure and 20 sampling values ​​corresponding to the gas flow rate through the acquisition module 601 within 20ms, wherein the 20 sampling values ​​corresponding to the airway pressure obtained are the first sampling values, and the 20 sampling values ​​corresponding to the gas flow rate obtained are the second sampling values. Afterwards, the first sampling values ​​and the second sampling values ​​can be cross-correlated, so as to obtain the cross-correlation data corresponding to the airway pressure and the gas flow rate at a certain moment.

[0109] It can be understood that in the embodiment of the present invention, the number of first sampling values ​​and second sampling values ​​is determined by the preset signal sampling rate and the preset sampling time, and can be multiple, but the number of the two is the same and one-to-one corresponding, that is, when a first sampling value is obtained at a certain moment of the preset sampling time, a corresponding second sampling value will be obtained at the same time.

[0110] Exemplarily, in an embodiment of the present invention, the preset signal sampling rate is 1KHZ, the preset sampling time is 20ms, and the processing module 602 can calculate the cross-correlation data of the airway pressure and the gas flow rate according to Formula 1:

[0111]

[0112] Wherein, Corr(k) represents the cross-correlation data of airway pressure and gas flow rate at time k, Flow(i) represents the gas flow rate at time i, and Pressure(i) represents the airway pressure at time i.

[0113] It can be understood that in the embodiment of the present invention, the above-mentioned preset signal sampling rate is 1KHZ, and the preset sampling time is 20ms. Therefore, the processing module 602 actually obtains 20 first sampling values ​​corresponding to the airway pressure, and at the same time, obtains 20 first sampling values ​​corresponding to the gas flow rate. Therefore, when calculating the cross-correlation data of the airway pressure and the gas flow rate at a certain moment, for example, at moment k, the airway pressure and gas flow rate at moment k, as well as the airway pressure and gas flow rate at the 19 moments before moment k, can be substituted into Formula 1 for calculation to obtain the cross-correlation data of the airway pressure and gas flow rate at moment k.

[0114] FIG2(a) is a schematic diagram of an exemplary waveform of respiratory flow rate provided in an embodiment of the present invention. FIG2(b) is a schematic diagram of an exemplary waveform of airway pressure provided in an embodiment of the present invention. Figure 1 FIG2(c) is a waveform diagram of an exemplary cross-correlation data provided by an embodiment of the present invention. Figure 1 As shown in FIG2(a), the gas flow rate is the respiratory flow rate. If the preset signal sampling rate is 1KHZ and the preset sampling time is 20ms, the processing module 602 performs the above cross-correlation calculation on the respiratory flow rate shown in FIG2(a) and the airway pressure shown in FIG2(b), and the cross-correlation data shown in FIG2(c) can be obtained.

[0115] Figure 3(a) is a waveform diagram of an exemplary gas flow rate provided in an embodiment of the present invention. Figure 3(b) is a second waveform diagram of an exemplary airway pressure provided in an embodiment of the present invention. Figure 3(c) is a second waveform diagram of an exemplary cross-correlation data provided in an embodiment of the present invention. As shown in Figure 3(a), the gas flow rate is the gas flow rate. If the preset signal sampling rate is 1KHZ and the preset sampling time is 20ms, the processing module 602 performs the above-mentioned cross-correlation calculation on the gas flow rate shown in Figure 3(a) and the airway pressure shown in Figure 3(b), the cross-correlation data shown in Figure 3(c) can be obtained.

[0116] FIG4(a) is a waveform diagram of an exemplary air flow rate when water accumulates in the pipeline provided by an embodiment of the present invention. FIG4(b) is a waveform diagram of an exemplary airway pressure when water accumulates in the pipeline provided by an embodiment of the present invention. FIG4(c) is a waveform diagram of cross-correlation data when water accumulates in the pipeline provided by an embodiment of the present invention. When water accumulates in the pipeline of the ventilation device, the water flows in the pipeline due to the airflow, which in turn causes the air flow rate and the airway pressure to fluctuate frequently, as shown in FIG4(a) and FIG4(b). These fluctuations are superimposed on the waveforms of the air flow rate and the airway pressure, which will make it difficult to identify the patient's respiratory state. If the processing module 602 performs cross-correlation calculations on the air flow rate described in FIG4(a) and the airway pressure shown in FIG4(b) according to the above cross-correlation formula, the waveform diagram shown in FIG4(c) can be obtained, and the patient's respiratory state can be clearly identified.

[0117] It is understandable that, in the prior art, breathing identification is usually performed based on only one of the airway pressure and the gas flow rate, and the changes in the airway pressure and the gas flow rate are usually not obvious enough and are easily interfered by other factors, and accurate identification is often not possible. In the embodiments of the present invention, considering that the changes in the airway pressure and the gas flow rate are opposite, the cross-correlation data corresponding to the airway pressure and the gas flow rate are calculated. It can be clearly seen from the above Figures 2(c), 3(c) and 4(c) that the cross-correlation data can clearly characterize the fluctuations in the patient's breathing. In fact, the cross-correlation data can amplify the smaller respiratory fluctuation amplitude, and therefore, the patient's breathing state can be more accurately identified.

[0118] S103. Identify the patient's respiratory state according to changes in the cross-correlation data.

[0119] In an embodiment of the present invention, after determining the cross-correlation data corresponding to the airway pressure and the gas flow rate, the processing module 602 in the breathing recognition device can identify the patient's breathing state according to the change of the cross-correlation data.

[0120] It should be noted that, in the embodiment of the present invention, the patient's respiratory state includes: spontaneous inhalation, spontaneous exhalation, apnea, assisted inhalation and assisted exhalation, and the processing module 602 can identify the specific patient's respiratory state according to the changes in the cross-correlation data.

[0121] Specifically, in an embodiment of the present invention, if the gas flow rate is the respiratory flow rate, the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes: if the cross-correlation data is greater than a first preset threshold, the patient's respiratory state is judged to be spontaneous inhalation; if the cross-correlation data is less than a second preset threshold, the patient's respiratory state is judged to be spontaneous exhalation.

[0122] It should be noted that in the embodiment of the present invention, the processing module 602 stores a first preset threshold and a second preset threshold, the first preset threshold is greater than the second preset threshold, and the specific first preset threshold and the second preset threshold are not limited in the embodiment of the present invention.

[0123] Exemplarily, in an embodiment of the present invention, the gas flow rate is the respiratory flow rate, that is, the processing module 602 can determine the cross-correlation data corresponding to the respiratory flow rate and the airway pressure in real time, the first preset threshold is A1, and the second preset threshold is A2. If the cross-correlation data corresponding to the respiratory flow rate and the airway pressure is greater than A1, it is judged that the patient's breathing state is spontaneous inhalation. If the cross-correlation data corresponding to the respiratory flow rate and the airway pressure is less than A2, it is judged that the patient's breathing state is spontaneous exhalation.

[0124] It can be understood that in the embodiments of the present invention, when the ventilation device is performing mechanical ventilation, if the patient inhales spontaneously, the airway pressure will drop. At this time, in order to meet the patient's inhalation needs, the gas flow rate or the respiratory flow rate increases, that is, the gas flow rate and the airway pressure are in opposite phases. Similarly, if the patient exhales spontaneously, the phases of the two are also opposite. Therefore, by utilizing the changes in the cross-correlation data corresponding to the gas flow rate and the airway pressure, spontaneous inhalation and spontaneous exhalation can be clearly identified.

[0125] It should be noted that, in the embodiments of the present invention, under normal circumstances, the respiratory flow rate is greater than zero during the inhalation stage, the respiratory flow rate is less than zero during the exhalation stage, and the airway pressure is greater than zero. Therefore, when the processing module 602 judges spontaneous inhalation and spontaneous exhalation based on the cross-correlation data corresponding to the respiratory flow rate and the airway pressure, it can judge it as spontaneous inhalation when the cross-correlation data is greater than a certain threshold, that is, a first preset threshold, and judge it as spontaneous exhalation when the cross-correlation data is less than a certain threshold, that is, a second preset threshold.

[0126] Specifically, in an embodiment of the present invention, if the gas flow rate is the gas delivery flow rate, the step of the processing module 602 identifying the patient's breathing state according to the change of the cross-correlation data includes: determining the parameter baseline corresponding to the cross-correlation data; if the cross-correlation data is greater than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than the third preset threshold, then the patient's breathing state is judged to be spontaneous exhalation; if the cross-correlation data is less than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than the fourth preset threshold, then the patient's breathing state is judged to be spontaneous inhalation.

[0127] It should be noted that, in the embodiment of the present invention, the processing module 602 stores a third preset threshold and a fourth preset threshold, and the specific third preset threshold and the fourth preset threshold are not limited in the embodiment of the present invention.

[0128] It should be noted that, in an embodiment of the present invention, if the gas flow rate is the gas delivery flow rate, the processing module 602 needs to first determine the parameter baseline corresponding to the cross-correlation data corresponding to the gas delivery flow rate and the airway pressure, including: calculating the cross-correlation data in the first time period; low-pass filtering the cross-correlation data in the first time period to obtain the parameter baseline.

[0129] It should be noted that, in the embodiment of the present invention, the first time period can be a longer time period preset by the medical staff in the processing module 602, and the processing module 602 can calculate the cross-correlation data corresponding to the airflow rate and the airway pressure in the first time period, and perform low-pass filtering on the cross-correlation data in this period of time, thereby filtering out the fluctuation amplitude and obtaining a reference baseline, which is the parameter baseline. The specific first time period is not limited in the embodiment of the present invention.

[0130] Figure 5 A schematic diagram of an exemplary parameter baseline provided by an embodiment of the present invention. Figure 5 As shown, the first time period is 1000ms, the solid line is the cross-correlation data corresponding to the air flow rate and the airway pressure within 1000ms, and after low-pass filtering the cross-correlation data, the parameter baseline shown in the dotted line portion can be obtained.

[0131] It should be noted that, in the embodiment of the present invention, the processing module 602 may further specifically calculate the mean of the cross-correlation data corresponding to the airway flow rate and the airway pressure in the first time period, and determine the mean as the parameter baseline.

[0132] Exemplarily, in an embodiment of the present invention, the gas flow rate is the gas delivery flow rate, and the processing module 602 determines the parameter baseline as Figure 5 As shown by the middle dotted line, the cross-correlation data corresponding to the supply flow rate and the airway pressure can be determined in real time. The third preset threshold is A3, and the fourth preset threshold is A4. If the cross-correlation data corresponding to the supply flow rate and the airway pressure are greater than the parameter baseline, and the difference between the two is greater than A3, the patient's breathing state is judged to be spontaneous exhalation. If the cross-correlation data corresponding to the supply flow rate and the airway pressure are less than the parameter baseline, and the difference between the two is greater than A4, the patient's breathing state is judged to be spontaneous inhalation.

[0133] It should be noted that, in the embodiment of the present invention, under normal circumstances, the airflow rate is greater than zero, and the airway pressure is also greater than zero, and in fact the parameter baseline is greater than zero. According to the relationship between the airflow rate and the airway pressure, it can be known that when the cross-correlation data is less than the parameter baseline, it is the inhalation stage, and when it is greater than the parameter baseline, it is the exhalation stage. Therefore, when the processing module 602 judges spontaneous inhalation and spontaneous exhalation according to the cross-correlation data corresponding to the airflow rate and the airway pressure, it can be judged as spontaneous exhalation when the cross-correlation data is greater than a certain threshold of the parameter baseline, that is, the third preset threshold, and it can be judged as spontaneous inhalation when the cross-correlation data is less than a certain threshold of the parameter baseline, that is, the fourth preset threshold.

[0134] It should be noted that, in the embodiment of the present invention, after identifying that the patient's breathing state is spontaneous inhalation or spontaneous exhalation, the processing module 602 may also control the ventilation device to switch the ventilation mode according to the identified breathing state of the patient.

[0135] Specifically, in an embodiment of the present invention, the processing module 602 controls the ventilation device to switch the ventilation mode according to the identified patient's breathing state, including: if the patient's breathing state changes from spontaneous exhalation to spontaneous inhalation, the ventilation device is triggered to enter the inspiratory ventilation mode; if the patient's breathing state changes from spontaneous inhalation to spontaneous exhalation, the ventilation device is triggered to enter the expiratory ventilation mode.

[0136] It should be noted that, in an embodiment of the present invention, the processing module 602 triggers the ventilation device to enter the inhalation ventilation mode or the expiratory ventilation mode, and can output a corresponding control signal to the controller of the ventilation device. The controller can control the entry into the inhalation ventilation mode or the expiratory ventilation mode according to the control signal. The specific triggering method is not limited in the embodiment of the present invention.

[0137] Specifically, in an embodiment of the present invention, the patient's respiratory state includes suffocation, and the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes: if the fluctuation amplitude of the cross-correlation data is less than a preset fluctuation amplitude threshold, the patient's respiratory state is judged to be suffocation.

[0138] It should be noted that, in the embodiment of the present invention, the processing module 602 stores a preset fluctuation range, and medical staff can adjust the preset fluctuation range according to actual needs. The specific preset fluctuation range is not limited in the embodiment of the present invention.

[0139] It can be understood that in the embodiment of the present invention, if the patient's respiratory state is asphyxia, that is, unable to breathe normally, the gas flow rate and airway pressure remain basically unchanged, and the cross-correlation data will basically not fluctuate, thereby identifying that the patient is suffocating.

[0140] It should be noted that, in an embodiment of the present invention, the cross-correlation data used by the processing module 602 to identify asphyxia may be the cross-correlation data corresponding to the respiratory flow rate and the airway pressure, or the cross-correlation data corresponding to the air delivery flow rate and the airway pressure. As long as the fluctuation amplitude is less than the preset fluctuation amplitude threshold, the patient's respiratory state can be identified as asphyxia.

[0141] Specifically, in an embodiment of the present invention, the patient's breathing state includes assisted inhalation and / or assisted exhalation. If the gas flow rate is the respiratory flow rate, the processing module 602 identifies the patient's breathing state according to the change of the cross-correlation data. The step includes: if the cross-correlation data is greater than zero, the patient's breathing state is judged to be assisted inhalation; if the cross-correlation data is less than zero, the patient's breathing state is judged to be assisted exhalation.

[0142] It should be noted that, in the embodiments of the present invention, under normal circumstances, the respiratory flow rate is greater than zero during the inhalation stage, the respiratory flow rate is less than zero during the exhalation stage, and the airway pressure is greater than zero. Therefore, when the ventilation device assists the patient in inhaling, the cross-correlation data corresponding to the respiratory flow rate and the airway pressure is greater than zero, and the processing module 602 can determine that the patient's respiratory state is assisted inhalation. When the ventilation device assists the patient in exhaling, the cross-correlation data corresponding to the respiratory flow rate and the airway pressure is less than zero, and the processing module 602 can determine that the patient's respiratory state is assisted in exhalation.

[0143] Specifically, in an embodiment of the present invention, the patient's breathing state includes assisted inspiration and / or assisted exhalation. If the gas flow rate is the gas delivery flow rate, the processing module 602 identifies the patient's breathing state according to the change of the cross-correlation data. The step includes: if the cross-correlation data rises, the patient's breathing state is judged to be assisted inspiration; if the cross-correlation data falls, the patient's breathing state is judged to be assisted exhalation.

[0144] It should be noted that, in the embodiments of the present invention, under normal circumstances, the supply flow rate is greater than zero and the airway pressure is also greater than zero. When the ventilation device assists the patient in inhaling, the supply flow rate can remain unchanged, while the airway pressure will gradually increase. Therefore, the cross-correlation data corresponding to the supply flow rate and the airway pressure will increase, and it can be judged that the patient's breathing state is assisted inhalation. When the ventilation device assists the patient in exhalation, the supply flow rate will decrease, and the airway pressure will also decrease. Therefore, the cross-correlation data corresponding to the supply flow rate and the airway pressure will decrease, and it can be judged that the patient's breathing state is assisted in exhalation.

[0145] It should be noted that, in an embodiment of the present invention, after the processing module 602 identifies that the patient's breathing state is assisted inhalation or assisted in exhalation based on the changes in the cross-correlation data, it can also compare whether the identified patient's breathing state matches the current ventilation mode of the ventilation device, and output the comparison result.

[0146] Illustratively, in an embodiment of the present invention, the processing module 602 recognizes that the patient's breathing state is assisted inhalation. If the current ventilation mode of the ventilation device is the assisted inhalation mode, that is, the two match, the processing module 602 can output a comparison result: 1, which is used to characterize the matching comparison result. If the current ventilation mode of the ventilation device is the assisted inhalation mode, that is, the two do not match, the processing module 602 can output a comparison result: 0, which is used to characterize the unmatched comparison result.

[0147] Illustratively, in an embodiment of the present invention, the processing module 602 recognizes that the patient's breathing state is assisted inhalation. If the current ventilation mode of the ventilation device is the assisted inhalation mode, that is, the two match, the processing module 602 can output a first control instruction to the controller of the ventilation device, and the controller controls the corresponding indicator light to display green according to the first control instruction, which is used to represent the matching comparison result. If the current ventilation mode of the ventilation device is the assisted exhalation mode, that is, the two do not match, the processing module 602 can output a second control instruction to the controller, and the controller controls the corresponding indicator light to display red according to the second control instruction, which is used to represent the mismatching comparison result.

[0148] It is understandable that in an embodiment of the present invention, the processing module 602 may recognize that the patient's breathing state is assisted inhalation, while the current ventilation mode of the ventilation device is assisted in exhalation, that is, the two do not match, indicating that there is a problem with the ventilation mode, or some problems have occurred during the ventilation process. Medical staff can perform corresponding processing and maintenance based on the comparison results.

[0149] The embodiment of the present invention provides a breathing recognition method, which obtains airway pressure and gas flow rate during mechanical ventilation; determines the cross-correlation data corresponding to the airway pressure and the gas flow rate based on the airway pressure and the gas flow rate; and identifies the patient's breathing state based on the change of the cross-correlation data. In other words, the technical solution provided by the embodiment of the present invention can identify the patient's breathing state based on the change of the cross-correlation data of the airway pressure and the gas flow rate when the patient is mechanically ventilated, thereby effectively reducing the impact of interference signals on breathing recognition and improving the accuracy of breathing recognition.

[0150] Another embodiment of the present invention provides a breathing recognition device, Figure 6 The structure diagram of a breathing recognition device provided by an embodiment of the present invention is shown in FIG. Figure 6 As shown, the device comprises:

[0151] An acquisition module 601 is used to acquire airway pressure and gas flow rate during mechanical ventilation; the gas flow rate is a respiratory flow rate or a gas delivery flow rate;

[0152] The processing module 602 determines the cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate; and identifies whether spontaneous breathing occurs according to the change of the cross-correlation data.

[0153] Optionally, the processing module 602 performs cross-correlation calculation on the airway pressure and the gas flow rate according to a preset signal sampling rate and a preset sampling time to obtain the cross-correlation data.

[0154] Optionally, the processing module 602 obtains, according to the preset signal sampling rate, a first sampling value corresponding to the airway pressure within the preset sampling time and a second sampling value corresponding to the gas flow rate; performs cross-correlation calculation on the first sampling value and the second sampling value to obtain the cross-correlation data.

[0155] Optionally, the patient's breathing state includes spontaneous inhalation and / or spontaneous exhalation,

[0156] After the processing module 602 identifies the patient's respiratory state according to the change in the cross-correlation data, it controls the ventilation device to switch the ventilation mode according to the identified patient's respiratory state.

[0157] Optionally, the step of the processing module 602 controlling the ventilation device to switch the ventilation mode according to the identified breathing state of the patient includes:

[0158] If the patient's breathing state changes from spontaneous exhalation to spontaneous inhalation, triggering the ventilation device to enter an inspiratory ventilation mode;

[0159] If the patient's breathing state changes from spontaneous inhalation to spontaneous exhalation, the ventilation device is triggered to enter an expiratory ventilation mode.

[0160] Optionally, the gas flow rate is a respiratory flow rate, and the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0161] If the cross-correlation data is greater than a first preset threshold, determining that the patient's breathing state is spontaneous inhalation;

[0162] If the cross-correlation data is less than a second preset threshold, it is determined that the patient's breathing state is spontaneous exhalation.

[0163] Optionally, the gas flow rate is the gas delivery flow rate, and the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0164] determining a parameter baseline corresponding to the cross-correlation data;

[0165] If the cross-correlation data is greater than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a third preset threshold, then determining that the patient's breathing state is spontaneous exhalation;

[0166] If the cross-correlation data is less than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a fourth preset threshold, it is determined that the patient's breathing state is spontaneous inhalation.

[0167] Optionally, the step of the processing module 602 determining the parameter baseline corresponding to the cross-correlation data includes:

[0168] Calculating the cross-correlation data in a first time period;

[0169] The cross-correlation data in the first time period is low-pass filtered to obtain the parameter baseline.

[0170] Optionally, the patient's respiratory state includes suffocation, and the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0171] If the fluctuation amplitude of the cross-correlation data is less than a preset fluctuation amplitude threshold, the patient's respiratory state is determined to be asphyxia.

[0172] Optionally, the patient's breathing state includes assisted inhalation and / or assisted in exhalation.

[0173] Optionally, after identifying the patient's respiratory state according to the change in the cross-correlation data, the processing module 602 compares whether the identified patient's respiratory state matches the current ventilation mode of the ventilation device, and outputs the comparison result.

[0174] Optionally, the gas flow rate is a respiratory flow rate, and the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0175] If the cross-correlation data is greater than zero, it is determined that the patient's respiratory state is assisted inspiration;

[0176] If the cross-correlation data is less than zero, it is determined that the patient's breathing state is assisted exhalation.

[0177] Optionally, the gas flow rate is a gas delivery flow rate, and the step of the processing module 602 identifying the patient's respiratory state according to the change of the cross-correlation data includes:

[0178] If the cross-correlation data increases, it is determined that the patient's respiratory state is assisted inspiration;

[0179] If the cross-correlation data decreases, it is determined that the patient's breathing state is assisted exhalation.

[0180] The embodiment of the present invention provides a breathing recognition device, which obtains airway pressure and gas flow rate during mechanical ventilation; determines the cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate; and identifies the patient's breathing state according to the change of the cross-correlation data. In other words, the breathing recognition device provided by the embodiment of the present invention can identify the patient's breathing state according to the change of the cross-correlation data of the airway pressure and the gas flow rate when the patient is mechanically ventilated, thereby effectively reducing the influence of interference signals on breathing recognition and improving the accuracy of breathing recognition.

[0181] An embodiment of the present invention provides a ventilation device, Figure 7 A schematic diagram of the structure of a ventilation device provided by an embodiment of the present invention. Figure 7 As shown, the ventilation device includes the above-mentioned breathing recognition device 701, and also includes: an air source 702, a breathing tube 703, a display 704 and a controller 705;

[0182] The gas source 702 provides gas during mechanical ventilation;

[0183] The breathing circuit 703 is connected to the gas source 702 to provide an inhalation and exhalation path during the mechanical ventilation;

[0184] The breathing recognition device 701 is connected to the breathing circuit 703 and the controller 705;

[0185] The breathing recognition device 701 recognizes the patient's breathing state during the mechanical ventilation;

[0186] The controller 705 is also connected to the gas source 702 to control the process of mechanical ventilation;

[0187] The display 704 is connected to the controller 705 to display the respiratory waveform during the mechanical ventilation process.

[0188] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a breathing recognition program, and the breathing recognition program can be executed by a processor to implement the above-mentioned breathing recognition method. The computer-readable storage medium can be a volatile memory (volatile memory), such as a random access memory (Random-Access Memory, RAM); or a non-volatile memory (non-volatile memory), such as a read-only memory (Read-Only Memory, ROM), a flash memory (flash memory), a hard disk (Hard Disk Drive, HDD) or a solid-state drive (Solid-State Drive, SSD); or it can be a respective device including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc.

[0189] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0190] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable signal processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable signal processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0191] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable signal processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0192] These computer program instructions may also be loaded onto a computer or other programmable signal processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0193] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

[0194] Industrial Applicability

[0195] In the technical solution of the embodiment of the present invention, during mechanical ventilation, airway pressure and gas flow rate are obtained; based on the airway pressure and the gas flow rate, cross-correlation data corresponding to the airway pressure and the gas flow rate are determined; and the patient's respiratory state is identified based on changes in the cross-correlation data. In other words, the technical solution provided by the embodiment of the present invention can identify the patient's respiratory state based on changes in the cross-correlation data of airway pressure and gas flow rate when the patient is mechanically ventilated, thereby effectively reducing the impact of interference signals on respiratory identification and improving the accuracy of respiratory identification.

Claims

1. A breathing recognition method, applied to a ventilation device, wherein the ventilation device comprises a pressure sensor and a flow sensor; characterized in that: The method comprises: During mechanical ventilation, the airway pressure is obtained by the pressure sensor and the gas flow rate is obtained by the flow sensor; Determine, according to the airway pressure and the gas flow rate, cross-correlation data corresponding to the airway pressure and the gas flow rate; wherein the cross-correlation data is obtained by performing cross-correlation calculation on the airway pressure obtained by the pressure sensor and the gas flow rate obtained by the flow sensor; The respiratory state of the patient is identified based on the change of the cross-correlation data.

2. The method according to claim 1, characterized in that The step of determining, according to the airway pressure and the gas flow rate, cross-correlation data corresponding to the airway pressure and the gas flow rate comprises: According to a preset signal sampling rate and a preset sampling time, a cross-correlation calculation is performed on the airway pressure and the gas flow rate to obtain the cross-correlation data.

3. The method according to claim 2, characterized in that The cross-correlation calculation of the airway pressure and the gas flow rate is performed according to a preset signal sampling rate and a preset sampling time to obtain the cross-correlation data, including: According to the preset signal sampling rate, respectively obtaining a first sampling value corresponding to the airway pressure within the preset sampling time and a second sampling value corresponding to the gas flow rate; A cross-correlation calculation is performed on the first sampling value and the second sampling value to obtain the cross-correlation data.

4. The method according to claim 1, characterized in that: The airway pressure and the gas flow rate are cross-correlated and calculated according to the following formula to obtain cross-correlation data of the airway pressure and the gas flow rate: Wherein, Corr(k) represents the cross-correlation data of the airway pressure and the gas flow rate at time k, Flow(i) represents the gas flow rate at time i, and Pressure(i) represents the airway pressure at time i.

5. The method according to claim 1, characterized in that The patient's respiratory state includes spontaneous inhalation and / or spontaneous exhalation. After identifying the patient's respiratory state according to the change of the cross-correlation data, the method further includes: The ventilation device is controlled to switch the ventilation mode according to the identified breathing state of the patient.

6. The method according to claim 5, characterized in that The step of controlling the ventilation device to switch the ventilation mode according to the identified breathing state of the patient comprises: If the patient's breathing state changes from spontaneous exhalation to spontaneous inhalation, triggering the ventilation device to enter an inspiratory ventilation mode; If the patient's breathing state changes from spontaneous inhalation to spontaneous exhalation, the ventilation device is triggered to enter an expiratory ventilation mode.

7. The method according to claim 5, characterized in that The gas flow rate is a respiratory flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the cross-correlation data is greater than a first preset threshold, determining that the patient's breathing state is spontaneous inhalation; If the cross-correlation data is less than a second preset threshold, it is determined that the patient's breathing state is spontaneous exhalation.

8. The method according to claim 5, characterized in that The gas flow rate is a gas delivery flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes: determining a parameter baseline corresponding to the cross-correlation data; If the cross-correlation data is greater than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a third preset threshold, then determining that the patient's breathing state is spontaneous exhalation; If the cross-correlation data is less than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a fourth preset threshold, it is determined that the patient's breathing state is spontaneous inhalation.

9. The method according to claim 8, characterized in that The step of determining the parameter baseline corresponding to the cross-correlation data comprises: Calculating the cross-correlation data in a first time period; The cross-correlation data in the first time period is low-pass filtered to obtain the parameter baseline.

10. The method according to claim 1, characterized in that The patient's respiratory state includes apnea, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the fluctuation amplitude of the cross-correlation data is less than a preset fluctuation amplitude threshold, the patient's respiratory state is determined to be asphyxia.

11. The method according to claim 1, characterized in that: The patient's breathing state includes assisted inspiration and / or assisted exhalation.

12. The method according to claim 11, characterized in that After identifying the patient's respiratory state according to the change of the cross-correlation data, the method further includes: The identified breathing state of the patient is compared to see whether it matches the current ventilation mode of the ventilation device, and the comparison result is output.

13. The method according to claim 11, characterized in that The gas flow rate is a respiratory flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the cross-correlation data is greater than zero, it is determined that the patient's respiratory state is assisted inspiration; If the cross-correlation data is less than zero, it is determined that the patient's breathing state is assisted exhalation.

14. The method according to claim 11, characterized in that The gas flow rate is a gas delivery flow rate, and the step of identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the cross-correlation data increases, it is determined that the patient's respiratory state is assisted inspiration; If the cross-correlation data decreases, it is determined that the patient's breathing state is assisted exhalation.

15. A breathing recognition device, characterized in that: The device comprises: An acquisition module, which acquires airway pressure and gas flow rate during mechanical ventilation; the gas flow rate is a respiratory flow rate or a gas delivery flow rate; the acquisition module includes a pressure sensor for acquiring the airway pressure and a flow sensor for acquiring the gas flow rate; A processing module determines the cross-correlation data corresponding to the airway pressure and the gas flow rate according to the airway pressure and the gas flow rate; and identifies the patient's respiratory state according to changes in the cross-correlation data; wherein the cross-correlation data is obtained by performing cross-correlation calculation on the airway pressure obtained by the pressure sensor and the gas flow rate obtained by the flow sensor.

16. The device according to claim 15, characterized in that The processing module performs cross-correlation calculation on the airway pressure and the gas flow rate according to a preset signal sampling rate and a preset sampling time to obtain the cross-correlation data.

17. The device according to claim 16, characterized in that The processing module obtains, according to the preset signal sampling rate, a first sampling value corresponding to the airway pressure within the preset sampling time and a second sampling value corresponding to the gas flow rate; performs cross-correlation calculation on the first sampling value and the second sampling value to obtain the cross-correlation data.

18. The device according to claim 15, characterized in that The processing module performs cross-correlation calculation on the airway pressure and the gas flow rate according to the following formula to obtain cross-correlation data of the airway pressure and the gas flow rate: Wherein, Corr(k) represents the cross-correlation data of the airway pressure and the gas flow rate at time k, Flow(i) represents the gas flow rate at time i, and Pressure(i) represents the airway pressure at time i.

19. The device according to claim 15, characterized in that The patient's respiratory state includes spontaneous inhalation and / or spontaneous exhalation, After the processing module identifies the patient's respiratory state according to the change in the cross-correlation data, the processing module controls the ventilation device to switch the ventilation mode according to the identified patient's respiratory state.

20. The device according to claim 19, characterized in that The step of the processing module controlling the ventilation device to switch the ventilation mode according to the identified breathing state of the patient includes: If the patient's breathing state changes from spontaneous exhalation to spontaneous inhalation, triggering the ventilation device to enter an inspiratory ventilation mode; If the patient's breathing state changes from spontaneous inhalation to spontaneous exhalation, the ventilation device is triggered to enter an expiratory ventilation mode.

21. The device according to claim 19, characterized in that The gas flow rate is a respiratory flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the cross-correlation data is greater than a first preset threshold, determining that the patient's breathing state is spontaneous inhalation; If the cross-correlation data is less than a second preset threshold, it is determined that the patient's breathing state is spontaneous exhalation.

22. The device according to claim 19, characterized in that The gas flow rate is the gas delivery flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes: determining a parameter baseline corresponding to the cross-correlation data; If the cross-correlation data is greater than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a third preset threshold, then determining that the patient's breathing state is spontaneous exhalation; If the cross-correlation data is less than the parameter baseline, and the difference between the cross-correlation data and the parameter baseline is greater than a fourth preset threshold, it is determined that the patient's breathing state is spontaneous inhalation.

23. The device according to claim 22, characterized in that The step of the processing module determining the parameter baseline corresponding to the cross-correlation data comprises: Calculating the cross-correlation data in a first time period; The cross-correlation data in the first time period is low-pass filtered to obtain the parameter baseline.

24. The device according to claim 15, characterized in that The patient's respiratory state includes suffocation, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the fluctuation amplitude of the cross-correlation data is less than a preset fluctuation amplitude threshold, the patient's respiratory state is determined to be asphyxia.

25. The device according to claim 15, characterized in that The patient's breathing state includes assisted inspiration and / or assisted exhalation.

26. The device according to claim 25, characterized in that After identifying the patient's respiratory state according to the change of the cross-correlation data, the processing module compares whether the identified patient's respiratory state matches the current ventilation mode of the ventilation device, and outputs the comparison result.

27. The device according to claim 25, characterized in that The gas flow rate is a respiratory flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the cross-correlation data is greater than zero, it is determined that the patient's respiratory state is assisted inspiration; If the cross-correlation data is less than zero, it is determined that the patient's breathing state is assisted exhalation.

28. The device according to claim 25, characterized in that The gas flow rate is the gas delivery flow rate, and the step of the processing module identifying the patient's respiratory state according to the change of the cross-correlation data includes: If the cross-correlation data increases, it is determined that the patient's respiratory state is assisted inspiration; If the cross-correlation data decreases, it is determined that the patient's breathing state is assisted exhalation.

29. A ventilation device comprising the breathing recognition device according to any one of claims 15 to 27, characterized in that: Includes gas source, breathing circuit, display and controller; The gas source provides gas during mechanical ventilation; The breathing circuit is connected to the gas source to provide an inhalation and exhalation path during the mechanical ventilation; The breathing recognition device is connected to the breathing circuit and the controller; The breathing recognition device recognizes the patient's breathing state during the mechanical ventilation; The controller is also connected to the gas source to control the process of mechanical ventilation; The display is connected to the controller and displays the respiratory waveform during the mechanical ventilation process.

30. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a breathing recognition program, and the breathing recognition program can be executed by a processor to implement the breathing recognition method according to any one of claims 1 to 14.

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