Respiratory flow information processing method and respiratory detection device

Abstract

The present specification provides a respiratory flow information processing method and a respiratory detection device, wherein the respiratory flow information processing method includes: obtaining respiratory flow information of a target object; and compensating current respiratory flow information according to a preset amount of respiratory flow information.

Description

Technical Field

[0001] This specification relates to the field of intelligent medical care, and in particular to a respiratory flow information processing method and a respiratory detection device. Background Art

[0002] In puncture surgery, the related devices used for respiratory gating detection usually include contact and non-contact types. Among them, in the contact detection device, the sensor can be used to detect the patient's respiratory information such as respiratory flow or respiratory flow rate. However, due to the hardware error of the sensor itself or the influence of the data processing process, there is a certain error between the patient's respiratory information detected by the sensor and the actual respiratory information. How to correct the respiratory information collected by the sensor has become a practical problem. Summary of the invention

[0003] At least one embodiment of the present specification provides a respiratory flow information processing method and a respiratory detection device.

[0004] According to a first aspect of an embodiment of the present disclosure, a respiratory flow information processing method is provided, comprising: acquiring respiratory flow information of a target object; and compensating current respiratory flow information according to a preset amount of the respiratory flow information.

[0005] According to a second aspect of an embodiment of the present disclosure, a breathing detection device is provided, comprising: a breathing detection sensor for detecting breathing flow information of a target object; and a main control board for implementing the breathing flow information processing method described in the first aspect.

[0006] According to a third aspect of an embodiment of the present disclosure, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the respiratory flow information processing method described in the first aspect is implemented.

[0007] According to a fourth aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the respiratory flow information processing method described in the first aspect is implemented.

[0008] In the disclosed embodiment, after obtaining the respiratory flow information of the target object, the current respiratory flow information can be compensated according to the preset amount of respiratory flow information. In this way, the flow information of the target object's respiratory gas can be directly detected and compensated, which can directly reflect the condition of the target object's lung respiratory gas, will not be affected by different parts of the body, and can more realistically show the target object's breathing condition.

[0009] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 is a flow chart of a respiratory flow information processing method according to an exemplary embodiment;

[0011] Figure 2 is a flow chart of a method for compensating current respiratory flow information according to an exemplary embodiment;

[0012] Figure 3 is a flow chart of a method for obtaining respiratory flow information according to an exemplary embodiment;

[0013] Figure 4 is a flow chart of a method for performing zero drift compensation on respiratory flow rate information according to an exemplary embodiment;

[0014] Figure 5 is a schematic diagram of a breathing detection device according to an exemplary embodiment;

[0015] Figure 6 is a schematic diagram of another breathing detection device according to an exemplary embodiment;

[0016] Figure 7 The diagram is a schematic structural diagram of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0017] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The specific methods described in the following exemplary embodiments do not represent all schemes consistent with this specification. Instead, they are only examples of devices and methods consistent with some aspects of this specification as detailed in the attached claims.

[0018] The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit this specification. The singular forms "a", "the" and "the" used in this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0019] It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0020] In puncture surgery, the related devices used for respiratory gating detection usually include contact and non-contact types. In the related technology, contact detection can use sensors to directly contact the patient's body to measure the changes in physical parameters of the human body caused by respiratory movement, such as breathing sound, respiratory airflow, chest pressure and impedance, etc.; non-contact detection can be performed on the basis that the detection device does not directly contact the patient's body, for example, it can include electromagnetic wave detection method, resonant circuit frequency modulation method, eddy current detection method, infrared thermal imaging detection method and machine vision detection method, etc.

[0021] Among them, in the contact detection device, the sensor can be used to detect the patient's respiratory information such as respiratory flow or respiratory velocity. However, due to the hardware error of the sensor itself or the influence of the data processing process, there is a certain error between the patient's respiratory information detected by the sensor and the actual respiratory information. How to correct the respiratory information collected by the sensor has become a practical problem.

[0022] Based on the above, a respiratory flow information processing method is provided in the embodiment of the present disclosure, which can correct the current respiratory flow information according to a preset amount of respiratory flow information, reduce the error between the actually collected respiratory flow information and the actual human respiratory flow information, and thus provide a more accurate reference basis for relevant personnel.

[0023] In order to make the respiratory flow information processing method provided by the present disclosure clearer, the execution process of the solution provided by the present disclosure is described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a respiratory flow information processing method shown in an embodiment of the present disclosure. Figure 1 As shown, the process includes:

[0025] Step 101, obtaining respiratory flow information of a target object.

[0026] In the embodiment of the present disclosure, the target object is an object for which respiratory flow information needs to be detected, for example, it may be a human body of a patient who needs to undergo a puncture operation.

[0027] This step can obtain the respiratory flow information of the target object, wherein it can be understood that the specific method of obtaining the target object is not limited in the embodiment of the disclosure. For example, the respiratory flow information of the target object can be detected by a sensor using a contact or non-contact detection method.

[0028] Specifically, the specific method of detecting and obtaining the respiratory flow information of the target object is also not limited by the embodiments of the present disclosure. For example, a sensor can be used to detect the respiratory flow rate information of the target object, and the respiratory flow information of the target object can be calculated based on the respiratory flow rate information.

[0029] In a possible implementation, the respiratory flow sensor "FS6122" can be used to output 2 channels of 0-5V analog voltage information (the 2 channels of analog voltage information represent the respiratory flow rate information and respiratory pressure information of the target object respectively), and then the respiratory flow rate information and respiratory pressure information can be collected based on the AD acquisition port of Wildfire Challenger v1 (the sampling frequency is F s =250Hz); further calculate the respiratory flow information of the target object based on the respiratory flow rate information and the respiratory pressure information.

[0030] Step 102: Compensate the current respiratory flow information according to a preset amount of respiratory flow information.

[0031] After the breathing detection of the target object is started, when the amount of breathing flow information obtained by the detection reaches a preset amount, this step can compensate the current breathing flow information according to the preset amount of breathing flow information that has been obtained.

[0032] For example, the preset number may be set to 120; after starting to perform breathing detection on the target object and obtaining 120 pieces of breathing flow information, this step may compensate the 120th breathing flow information according to the 120 pieces of breathing flow information to correct the 120th breathing flow information.

[0033] For example, the preset number can be set to 120; after starting to perform breathing detection on the target object and obtaining 121 respiratory flow information, this step can compensate the 121st respiratory flow information according to the 120 respiratory flow information corresponding to the 2nd to 121st to correct the 121st respiratory flow information.

[0034] For example, the preset number can be set to 120; after starting to perform breathing detection on the target object and obtaining 122 respiratory flow information, this step can compensate the 122nd respiratory flow information according to the 120 respiratory flow information corresponding to the 3rd to 122nd to correct the 122nd respiratory flow information.

[0035] It can be understood that the step of compensating the current respiratory flow information according to the preset number of respiratory flow information in this step is a compensation process similar to a "sliding window". In this way, compensation for the "preset number" of respiratory flow information collected can be achieved, and compensation for all respiratory flow information after the "preset number" can be achieved, thereby reducing the error between the collected respiratory flow information and the actual respiratory flow information of the target object, providing more accurate reference data for relevant personnel.

[0036] In the disclosed embodiment, after obtaining the respiratory flow information of the target object, the current respiratory flow information can be compensated according to the preset amount of respiratory flow information. In this way, the flow information of the target object's respiratory gas can be directly detected and compensated, which can directly reflect the condition of the target object's lung respiratory gas, will not be affected by different parts of the body, and can more realistically show the target object's breathing condition.

[0037] In some optional embodiments, such as Figure 2 As shown, the specific implementation of step 102 may include the following steps:

[0038] Step 201, determining a flow compensation value of the current respiratory flow information according to the preset amount of respiratory flow information;

[0039] Step 202: Compensate the current respiratory flow information according to the flow compensation value.

[0040] For example, after starting to detect the breathing of the target object, the respiratory flow information Flow is obtained. When m (for example, m=120, the period is 500ms) respiratory flow information is collected, the flow compensation value Flow of the current respiratory flow information (the mth respiratory flow information) is calculated. com In some optional embodiments, a linear fit and a least squares method can be used to fit the existing data to obtain the flow compensation value Flow com In one possible implementation, Flow com The calculation formula is as follows:

[0041] Flow com =para(1)*T new +para(2)

[0042] where para represents the least squares linear data fit and para∈R 2×1 ,para=(X T X) -1 X T F, X is the observation matrix, X = [T, 1]; T newis the acquisition / collection time of the current respiratory flow information (the mth), where M = 120, m∈[1,M], m∈N + , F is the respiratory flow data F∈R saved after collection M×1 , T is the time information of the corresponding traffic data recorded T∈R M×1 , X is the time information of the corresponding traffic data recorded X∈R M×2 .

[0043] The current respiratory flow information (the mth respiratory flow information) is recorded as Flow new , the current respiratory flow information after compensation Flow use =Flow new -Flow com That is, the compensation for the mth respiratory flow information has been completed.

[0044] Starting from the m+1th respiratory flow information, the above method is still used to calculate Flow use , but the first respiratory flow information is no longer used, and the total amount of respiratory flow information from the second respiratory flow information to the current respiratory flow information is still m.

[0045] For example, when the 1st to 120th respiratory flow information is collected, the 120 data can be used to calculate the Flow of the 120th respiratory flow information (current respiratory flow information). use When the 1st to 121st respiratory flow information is collected, the 2nd to 121st respiratory flow information (120 respiratory flow information) can be used to calculate the Flow of the 121st respiratory flow information (current respiratory flow information). use , and so on for sliding calculation.

[0046] In some optional embodiments, before step 101, the method further includes: when the current respiratory flow information is zero, stopping the compensation of the current respiratory flow information. For example, when obtaining the respiratory flow information of the target object, if the data of the current respiratory flow information obtained is 0, it means that the target object is not breathing at this time (for example, the target object has taken off the test device), and the test does not need to perform the compensation step.

[0047] In a possible implementation, the following code may be used to process the respiratory flow information:

[0048]

[0049]

[0050] Among them, Flow new The current respiratory flow information collected by the host computer; Velnew is the current flow rate information; T new is the current time.

[0051] In some optional embodiments, the specific implementation of step 101 is as follows: Figure 3 The steps shown may include:

[0052] Step 301: collecting respiratory flow rate information of the target object based on a preset sensor.

[0053] For example, the respiratory flow sensor "FS6122" can be used to output 2 channels of 0-5V analog voltage information (the 2 channels of analog voltage information represent the respiratory flow rate information and respiratory pressure information of the target object respectively), and then the respiratory flow rate information and respiratory pressure information can be collected based on the AD acquisition port of Wildfire Challenger v1 (the sampling frequency is F s =250Hz). It can be understood that the sensor in this embodiment is only an exemplary sensor, and different sensors can be selected in actual applications, which is not limited in this embodiment.

[0054] In a possible implementation, after the respiratory flow rate information of the target object is collected, the method may further include: performing low-pass filtering on the respiratory flow rate information. For example, a low-pass filter may be designed based on a Butterworth low-pass IIR digital filter to implement low-pass filtering of the respiratory flow rate information. This method may perform noise reduction processing on the respiratory flow rate information collected based on a preset sensor to a certain extent, so as to obtain more accurate respiratory flow information by processing more accurate respiratory flow rate information.

[0055] In another possible implementation, after the respiratory flow rate information of the target object is collected, the method may further include: performing high-pass filtering on the respiratory flow rate information. This method can reduce the noise of the respiratory flow rate information collected by the preset sensor to a certain extent, so as to obtain more accurate respiratory flow information by processing more accurate respiratory flow rate information.

[0056] Step 302: Using a trapezoidal integration algorithm, obtain the respiratory flow information according to the respiratory flow rate information.

[0057] This step can be based on the trapezoidal integration algorithm to calculate the respiratory flow information of the target object according to the respiratory flow rate information. The calculation formula of the respiratory flow information is as follows:

[0058]

[0059] Where Fs is the sampling frequency.

[0060] In the disclosed embodiment, the target object's respiratory flow rate information can be collected using a preset sensor, and the target object's respiratory flow rate information can be calculated based on the respiratory flow rate information using a trapezoidal integration algorithm. In this way, the flow rate information of the target object's respiratory gas can be directly detected, and the respiratory flow rate information can be calculated based on the respiratory flow rate information; the target object's lung respiratory gas situation can be directly reflected, and will not be affected by different parts of the body, and the target object's respiratory situation can be more realistically displayed.

[0061] In some optional embodiments, before step 302, as Figure 4 The following steps are also shown:

[0062] Step 401, after the device where the sensor is located is turned on, collecting the target amount of respiratory flow rate information;

[0063] Step 402, determining a zero drift compensation value according to the target amount of respiratory flow rate information;

[0064] Step 403: Perform zero drift compensation on the respiratory flow rate information according to the zero drift compensation value.

[0065] The device where the sensor for collecting the respiratory flow rate information of the target object is located usually has a zero drift error within the range of ±3 SLPM after each startup. The above embodiment provides a zero drift compensation method for this error.

[0066] Specifically, after the device where the sensor is located is turned on, the target number n (for example, n=3000) respiratory flow rate information is collected, and then the arithmetic mean is calculated to obtain the zero drift compensation value; wherein, the calculation formula of the zero drift compensation value is as follows:

[0067]

[0068] Among them, Vel zerocom is the zero drift compensation value, then the final compensated respiratory flow rate information for:

[0069]

[0070] Based on the above method, zero drift compensation of respiratory flow rate information can be achieved.

[0071] In the disclosed embodiment, after the respiratory flow rate information of the target object is collected, the respiratory flow rate information can be compensated for zero drift according to the respiratory flow rate information of the target quantity, thereby obtaining more accurate respiratory flow rate information.

[0072] Figure 5 As shown, the present disclosure provides a breathing detection device, comprising:

[0073] A breathing detection sensor 9 is used to detect the breathing flow information of the target object;

[0074] The main control board 7 is used to implement the respiratory flow information processing method of any embodiment of the present disclosure.

[0075] In some optional embodiments, such as Figure 6 As shown, the breathing detection device also includes a detection device upper shell 4 fixed to the detection device lower shell 6, which is used to fix the switch button 1 and the indicator light 5;

[0076] The detection device lower shell 6 is used for installation in conjunction with the detection device upper shell 4, and is also used for fixing the display screen 2, the antenna 3, the main control board 7, the air inlet and the air inlet pipe 8, the breathing detection sensor 9, the air outlet and the air outlet pipe 10, and the battery 11;

[0077] The switch button 1 is used to control the on / off of the breathing detection device;

[0078] The display screen 2 is used to display the breathing state of the target object and the breathing flow information;

[0079] The antenna 3 is used for the breathing detection device to communicate with the host computer;

[0080] The indicator light 5 is used to indicate the working status of the breathing detection device;

[0081] The air inlet and the air inlet pipe 8 are used as a channel for the gas of the target object to enter during collection;

[0082] The gas outlet and gas outlet pipe 10 are used as pipes for discharging the gas from the target object after collection;

[0083] The battery 11 is used to supply power to the breathing detection device.

[0084] In a possible implementation, the display screen 2 may be selected from: Wildfire 7-inch capacitive screen; the main control board 7 may be selected from: Wildfire Challenger v1; the breathing detection sensor 9 may be selected from: Silicon Flying Sensor FS6122.

[0085] In this embodiment, the lower shell 6 of the detection device and the upper shell 4 of the detection device are pressed for installation and disassembly, which is convenient to use; at the same time, the breathing detection sensor 9, the main control board 7, the battery 11, the display screen 2, the antenna 3, the air inlet and the air inlet pipe 8, the switch button 1 and the indicator light 5 are combined and arranged to build the entire breathing detection device, and the layout of each structure is reasonable and compact, so as to maximize the use of space.

[0086] Due to the inhalation / exhalation end, the target object's body surface and lung volume change are inconsistent (the lungs may breathe a lot of gas, but the body surface does not change much). The breathing detection device provided in the embodiment of the present disclosure can directly detect the breathing of the target object and can directly reflect the condition of the target object's lung breathing gas without being affected by different parts of the body. It can more realistically show the target object's breathing condition with higher accuracy than NDI optical navigation instruments.

[0087] The present disclosure also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor can implement the respiratory flow information processing method of any embodiment of the present disclosure when executing the program.

[0088] Figure 7 A more specific hardware structure diagram of a computer device provided by an embodiment of the present disclosure is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other in communication within the device through the bus 1050.

[0089] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0090] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0091] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0092] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0093] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0094] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0095] The present disclosure also provides a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the respiratory flow information processing method of any embodiment of the present disclosure can be implemented.

[0096] The non-temporary computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc., and the present disclosure is not limited thereto.

[0097] Those skilled in the art will readily appreciate other embodiments of the specification after considering the specification and practicing the invention claimed herein. The specification is intended to cover any variations, uses or adaptations of the specification that follow the general principles of the specification and include common knowledge or customary techniques in the art that are not claimed in the specification. The specification and examples are to be considered exemplary only, and the true scope and spirit of the specification are indicated by the following claims.

[0098] It should be understood that the present description is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present description is limited only by the appended claims.

[0099] The above description is only a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this specification should be included in the scope of protection of this specification.

Claims

1. A respiratory flow information processing method, characterized in that: include: Obtain respiratory flow information of the target object; According to the preset number M of respiratory flow information, the flow compensation value of the current respiratory flow information is calculated by sliding, wherein the flow compensation value Flow is calculated in the following manner: com : Flow com =for(1)*T new + for(2), Where para represents the least squares linear data fitting, para=(X T X) -1 X T F, T new is the acquisition / collection time of the current respiratory flow information, F is the respiratory flow data saved after acquisition, which includes the current respiratory flow information and the M-1 respiratory flow information before it, X is the observation matrix, X=[T,1], where T is the acquisition / collection time of the respiratory flow information in F; The current respiratory flow information is compensated according to the flow compensation value, and the compensated current respiratory flow information Flow use =Flow new - Flow com , Flow new It is the current respiratory flow information.

2. The method according to claim 1, characterized in that The step of obtaining respiratory flow information of the target object includes: Based on a preset sensor, collecting respiratory flow rate information of the target object; The respiratory flow information is obtained according to the respiratory flow rate information by using a trapezoidal integration algorithm.

3. The method according to claim 2, characterized in that Before obtaining the respiratory flow information according to the respiratory flow rate information by using the trapezoidal integration algorithm, the method further includes: After the device where the sensor is located is turned on, collecting a target amount of respiratory flow rate information; determining a zero drift compensation value according to the target amount of respiratory flow rate information; The respiratory flow rate information is subjected to zero drift compensation according to the zero drift compensation value.

4. The method according to claim 2, characterized in that: Before obtaining the respiratory flow information according to the respiratory flow rate information by using the trapezoidal integration algorithm, the method further includes: The respiratory flow rate information is low-pass filtered.

5. A breathing detection device, characterized in that: include: A breathing detection sensor, used to detect the breathing flow information of the target object; A main control board, used to implement the respiratory flow information processing method of any one of claims 1 to 4.

6. The device according to claim 5, characterized in that Also includes: The upper shell of the detection device is fixed to the lower shell of the detection device and is used to fix the switch button and the indicator light; The lower shell of the detection device is installed in cooperation with the upper shell of the detection device and is used to fix the display screen, the antenna, the main control board, the air inlet and the air inlet pipe, the breathing detection sensor, the air outlet and the air outlet pipe, and the battery; The switch button is used to control the on / off of the breathing detection device; The display screen is used to display the breathing state of the target object and the breathing flow information; The antenna is used for the breathing detection device to communicate with a host computer; The indicator light is used to indicate the working status of the breathing detection device; The air inlet and the air inlet duct are used as a channel for the gas of the target object to enter during collection; The gas outlet and the gas outlet pipe are used as pipes for discharging the gas from the target object after collection; The battery is used to supply power to the breathing detection device.

7. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 4 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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