Cerebral blood flow analysis method, ultrasonic equipment and storage medium
By collecting and analyzing the cerebral blood flow parameters during Valsalva action, it automatically determines whether the action is qualified, and solves the problem of automatic detection of Valsalva action in the prior art, improving the efficiency and effectiveness of foaming tests.
Patent Information
- Application Number
- CN202311301659.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-09
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2043-10-09
AI Technical Summary
In the prior art, automatic detection of Valsalva actions is difficult to achieve, resulting in the effectiveness of the foaming test depends on the observation and judgment of the doctor, the operation process is complex, and the efficiency and effectiveness are low.
By collecting the cerebral blood flow parameters of the target object during the Valsalva operation, analyzing the changing state of these parameters, combining the changing state, automatically determining whether the action is qualified, and displaying the results on the monitoring interface to achieve automatic detection of the action.
Automatic detection of Valsalva actions is realized, the operation process of medical staff is simplified, and the execution efficiency and effectiveness of foaming tests are improved.
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Figure CN119791716A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical electronic technology, and in particular to a cerebral blood flow analysis method, ultrasonic equipment and storage medium. Background Art
[0002] At present, the transcranial Doppler blood flow analyzer (TCD) is the most widely used ultrasound device for the bubble test. When using TCD for the bubble test, the patient needs to be in a resting state and a standard Valsalva maneuver, and the medical staff needs to use hand-vibrated saline as an enhancer, while the doctor uses transcranial Doppler ultrasound to detect the number of microemboli (air emboli) in the cerebral blood vessels.
[0003] However, the effectiveness of the foaming test requires that the execution of the Valsalva maneuver is qualified. In the related technology, the target object can only be guided to perform the Valsalva maneuver through voice and timing. It is just a simple timing and voice prompt. Its effectiveness needs to be determined by the doctor observing the changes in the blood flow curve during the Valsalva maneuver. It is difficult to achieve automatic detection of the Valsalva maneuver. Summary of the invention
[0004] In view of this, an embodiment of the present invention provides a cerebral blood flow analysis method, an ultrasound device, and a storage medium to solve the problem that the Valsalva maneuver is difficult to detect automatically.
[0005] In a first aspect, an embodiment of the present invention provides a method for analyzing cerebral blood flow, comprising: collecting cerebral blood flow parameters of a target object performing a target action in a bubble test; analyzing the cerebral blood flow parameters to determine a change state of the cerebral blood flow parameters; determining whether the target action performed by the target object is qualified based on the change state, and displaying the execution result of the bubble test in a monitoring interface.
[0006] The cerebral blood flow analysis method provided by the embodiment of the present invention collects the cerebral blood flow parameters of the target object during the execution of the target action (Valsalva action), analyzes the cerebral blood flow parameters to determine the change state, and then combines the change state of the cerebral blood flow parameters to determine whether the target action is qualified, and displays the determination process and the determination result on the monitoring interface. In this way, the automatic detection of the target action is realized, the operation process of medical staff is simplified, and the execution efficiency and effectiveness of the foaming test are improved.
[0007] In an optional embodiment, analyzing cerebral blood flow parameters and determining the change state of the cerebral blood flow parameters include: decomposing the target action into multiple sub-actions; collecting the first cerebral blood flow parameter corresponding to each sub-action during the execution of each sub-action; and determining the change state of the cerebral blood flow parameter corresponding to each sub-action based on the first cerebral blood flow parameter corresponding to each sub-action and the second cerebral blood flow parameter after the execution of each sub-action.
[0008] The cerebral blood flow analysis method provided in the embodiment of the present invention decomposes the target action to analyze the cerebral blood flow parameters corresponding to each sub-action, thereby being able to accurately determine the problems existing in the target object in the process of executing the target action, facilitating targeted guidance for the target object, and further ensuring the effectiveness of the execution of the bubble test.
[0009] In an optional embodiment, the above method also includes: obtaining the currently executed sub-action and timing it; determining the execution time of the next sub-action based on the timing result; at the execution time of each sub-action, collecting the first target cerebral blood flow parameter corresponding to each sub-action.
[0010] The cerebral blood flow analysis method provided by the embodiment of the present invention is convenient for automatically detecting the cerebral blood flow parameters corresponding to each sub-action by timing the execution time of each sub-action.
[0011] In an optional implementation, determining whether a target action executed by a target object is qualified based on a change state includes: judging whether the change state satisfies a preset change condition; and when the change state satisfies the preset change condition, determining that the target action executed by the target object is qualified.
[0012] The cerebral blood flow analysis method provided in the embodiment of the present invention determines whether the target action performed by the target object is qualified through the change state of the cerebral blood flow parameters, thereby realizing automatic analysis of the target action execution process without the need for doctor's judgment, thereby simplifying the operation steps of the foaming test.
[0013] In an optional embodiment, the method further includes: when the change state does not satisfy a preset change condition, determining that the target action performed by the target object is unqualified, and repeating the execution process for the target action; when the effective number of executions of the target action reaches a target number, ending the foaming test of the target object; and extracting the maximum number of emboli from the target number as the test result of the foaming test.
[0014] The cerebral blood flow analysis method provided by the embodiment of the present invention, when it is determined that the target action performed by the target object is unqualified, executes the target action again until the effective number of times is reached, further ensuring the accuracy of the result of the foaming test.
[0015] In an optional embodiment, before collecting the cerebral blood flow parameters of the target object during the execution of the target action, it also includes: collecting the initial monitoring parameters and / or initial cerebral blood flow parameters of the target object; determining whether the target object is in a resting state based on the change trend of the initial monitoring parameters and / or the initial cerebral blood flow parameters; when the target object is in a resting state, collecting the number of emboli in the resting state; analyzing the number of emboli to determine whether to execute the exercise process for the target action.
[0016] The cerebral blood flow analysis method provided by the embodiment of the present invention determines whether the target object is in a resting state by analyzing the change trend of the initial monitoring parameters or initial cerebral blood flow parameters of the target object, so as to automatically evaluate whether it can enter the next process. Compared with setting a fixed rest time in the related art, this method can ensure the accuracy of the target object entering the resting state, and can also effectively shorten the waiting time during the foaming test, thereby improving the execution efficiency of the foaming test.
[0017] In an optional embodiment, the method also includes: collecting a third cerebral blood flow parameter during the practice process; determining whether the practice process of the target action is valid based on the change trend of the third cerebral blood flow parameter; when the practice process of the target action is valid, generating a first prompt message, the first prompt message is used to prompt to enter the execution process of the target action; when the practice process of the target action is invalid, generating a second prompt message, the second prompt message is used to prompt to perform the practice process of the target action again.
[0018] The cerebral blood flow analysis method provided by the embodiment of the present invention determines whether the practice process of the target action is valid by analyzing the change trend of the cerebral blood flow parameters in the practice process. When the practice process is invalid, the practice process of the target action is re-entered, and when the practice process is valid, the execution process of the target action is entered. This ensures the accuracy of the target object in executing the target action and avoids the phenomenon of multiple failures in the actual execution of the target action due to invalid practice.
[0019] In an optional embodiment, the method further includes: when entering the execution process of the target action, determining whether the target object is in a resting state again based on the change trend of the monitoring parameters and / or cerebral blood flow parameters.
[0020] The cerebral blood flow analysis method provided by the embodiment of the present invention determines whether the target object is in a resting state by analyzing the change trend of the monitoring parameters or the cerebral blood flow parameters when entering the execution process of the target action. As long as it is determined that the target object is in a resting state, the target action execution process can be entered. Therefore, it is no longer dependent on a fixed rest waiting time, thereby improving the execution efficiency of the bubble test.
[0021] In a second aspect, an embodiment of the present invention provides an ultrasound device, comprising: at least one ultrasound probe, a host and a display, the ultrasound probe being connected to the host via a probe interface; at least one ultrasound probe being used to collect cerebral blood flow parameters of a target object; a host comprising a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the cerebral blood flow analysis method of the first aspect or any corresponding embodiment thereof by executing the computer instructions; a display being communicatively connected to the host, for displaying a monitoring interface, and displaying the changing state of the cerebral blood flow parameters and the execution results of the bubble test on the monitoring interface.
[0022] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the cerebral blood flow analysis method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0024] Figure 1 is a schematic flow chart of a method for analyzing cerebral blood flow according to some embodiments of the present invention;
[0025] Figure 2 is a schematic flow chart of another cerebral blood flow analysis method according to some embodiments of the present invention;
[0026] Figure 3 is a schematic flow chart of another cerebral blood flow analysis method according to some embodiments of the present invention;
[0027] Figure 4 is a structural block diagram of an ultrasound device according to some embodiments of the present invention. DETAILED DESCRIPTION
[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.
[0029] Under normal circumstances, some vasoactive substances and emboli in the human venous system can be filtered and removed through the pulmonary circulation system. If the foramen ovale is not closed, when people cough, lift heavy objects, defecate with force, change body position, etc., emboli from the venous system bypass the pulmonary circulation and directly reach the brain tissue through the open foramen ovale, leading to a series of clinical syndromes such as cerebral infarction, migraine, syncope, hypoxemia, decompression sickness, etc. Transcranial Doppler ultrasound combined with saline foaming test is an effective means of screening for patent foramen ovale, and can also be used as a means of screening for the cause of unexplained ischemic stroke.
[0030] Transcranial Doppler blood flow analyzer (TCD) is the most widely used device for the bubble test. When using TCD for the bubble test, the nurse needs to use hand-vibrated saline as an enhancer when the patient is at rest and during the standard Valsalva maneuver, while the doctor uses transcranial Doppler ultrasound to detect the number of microemboli (air emboli) in the unilateral / bilateral cerebral arteries to achieve accurate execution of the bubble test.
[0031] However, the effectiveness of the foaming test requires that the Valsalva maneuver is performed properly. The relevant technology has only improved automatic timing, voice prompts, and foaming result grading. Whether the Valsalva maneuver is qualified still needs to be judged by the doctor. The doctor needs to observe the changes in the blood flow curve during the Valsalva maneuver to determine whether the patient's Valsalva maneuver is qualified. If it is not qualified, it needs to be retested. Moreover, during the entire foaming test process, the doctor needs to observe the curve changes and operate the small keyboard, and the nurse injects the contrast agent according to the voice prompts. The test requires the cooperation of two people.
[0032] In addition, since the examination needs to be performed when the patient is at rest, the relevant technology sets a fixed time (usually 2 minutes) for the rest time before starting each step of the examination. However, for some patients, their heart rate, blood pressure and other parameters may be calm after lying down for about 1 minute and can be tested. Therefore, setting a fixed time also wastes examination time.
[0033] Based on this, the technical solution of the present invention analyzes the cerebral blood flow data collected during the Valsalva maneuver to automatically determine whether the Valsalva maneuver is qualified according to the change state of the cerebral blood flow data, and displays the judgment process and results on the monitoring interface, thereby further simplifying the doctor's operating procedures and improving the efficiency and effectiveness of the examination.
[0034] In addition, the monitoring parameters of the target object collected during the rest process are analyzed, and combined with the change status of the monitoring parameters, an automatic assessment is made as to whether the next step can be entered, which effectively shortens the waiting time during the foaming test and improves the inspection efficiency.
[0035] According to an embodiment of the present invention, an embodiment of a method for analyzing cerebral blood flow is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0036] In this embodiment, a method for analyzing cerebral blood flow is provided, which can be used in ultrasound equipment, etc. Figure 1 is a flow chart of a method for analyzing cerebral blood flow according to an embodiment of the present invention, such as Figure 1 As shown, the process includes the following steps:
[0037] Step S101 , collecting cerebral blood flow parameters of a target subject performing a target action in a bubble test.
[0038] Cerebral blood flow parameters are dynamic parameters used to characterize the blood flow in the intracranial and extracranial blood vessels of the target object. Specifically, cerebral blood flow parameters may include blood flow velocity, average blood flow velocity, etc. Cerebral blood flow parameters are usually selected for detection in the middle cerebral artery, and the monitoring of unilateral or bilateral middle cerebral arteries can be selected as needed.
[0039] When collecting cerebral blood flow parameters, place the probe at the detection site and adjust the sampling volume, gain, depth, embolus detection and other related parameters for cerebral blood flow parameters through the display interface of the ultrasound equipment. After a continuous and stable blood flow spectrum and data appear on the spectrum graph displayed on the display interface, click "Start" to start the foaming test process.
[0040] Among them, the bubble test (c-TCD) is a contrast-enhanced transcranial Doppler ultrasound, which mainly involves injecting activated saline into the elbow vein when the target subject is at rest and performing the standard Valsalva maneuver, monitoring the microembolic signals that appear in the intracranial artery within a certain time window, and determining whether there is right-to-left shunt and the degree of shunt based on the embolic signals.
[0041] The target action is the Valsalva action performed by the target subject during the foaming test, and the cerebral blood flow parameters of the target subject during the execution of the target action are collected through the placed probes according to the set relevant parameters.
[0042] Step S102, analyzing cerebral blood flow parameters to determine the change state of the cerebral blood flow parameters.
[0043] Since the cerebral blood flow parameters are not constant when the target object performs the target action, but will show an upward or downward trend as the target action is performed, therefore, by analyzing the monitored cerebral blood flow parameters, the real-time change state of the cerebral blood flow parameters can be determined.
[0044] Step S103, determining whether the target action performed by the target object is qualified based on the change state, and displaying the execution result of the foaming test in the monitoring interface.
[0045] If the target action performed by the target object is qualified, the change state of the cerebral blood flow parameter is within a certain change range. If the target action performed by the target object is unqualified, the change state of the cerebral blood flow parameter will deviate from the change range. Therefore, whether the target action performed by the target object is qualified can be determined by combining the change state of the cerebral blood flow parameter. At the same time, the change state of the cerebral blood flow parameter and the execution result can be displayed in the monitoring interface of the ultrasound device for medical staff to view.
[0046] The cerebral blood flow analysis method provided in this embodiment collects the cerebral blood flow parameters of the target object during the execution of the target action (Valsalva action), and analyzes the change trend of the cerebral blood flow parameters, so as to realize the determination of whether the target action is qualified in combination with the change state of the cerebral blood flow parameters, and displays the determination process and the determination result on the monitoring interface. In this way, the automatic detection of the target action is realized, the operation process of medical staff is simplified, and the execution efficiency and effectiveness of the foaming test are improved.
[0047] In this embodiment, a method for analyzing cerebral blood flow is provided, which can be used in monitoring equipment, etc. Figure 2 is a flow chart of a method for analyzing cerebral blood flow according to an embodiment of the present invention, such as Figure 2 As shown, the process includes the following steps:
[0048] Step S201, collecting cerebral blood flow parameters of the target object performing the target action in the bubble test. For detailed description, please refer to the relevant description of the above embodiment, which will not be repeated here.
[0049] Step S202: Analyze cerebral blood flow parameters to determine the change status of the cerebral blood flow parameters.
[0050] Specifically, the above step S202 may include:
[0051] Step S2021, decompose the target action into multiple sub-actions.
[0052] The target action is composed of multiple sub-actions. Specifically, an effective target action execution process includes the inhalation process, the breath-holding process, and the exhalation process. Here, the target action can be decomposed into the inhalation sub-action, the breath-holding sub-action, and the exhalation sub-action. For each sub-action, the ultrasound device can generate execution voice for each sub-action, such as "start inhaling", "hold your breath and blow hard for 5 seconds", "exhale and relax".
[0053] Step S2022: In the process of executing each sub-action, the first cerebral blood flow parameter corresponding to each sub-action is collected.
[0054] When the target subject performs each sub-action according to the voice prompt or the guidance of the medical staff, the probe can be used to collect the first cerebral blood flow parameter of the target subject when performing each sub-action, that is, the cerebral blood flow parameter V1 during the inhalation sub-action, the cerebral blood flow parameter V2 during the breath-holding sub-action, and the cerebral blood flow parameter V3 during the exhalation sub-action.
[0055] Step S2023: determining the change state of the cerebral blood flow parameter corresponding to each sub-action based on the first cerebral blood flow parameter corresponding to each sub-action and the second cerebral blood flow parameter after executing each sub-action.
[0056] Each sub-action is executed sequentially. For the inhalation sub-action, the corresponding first cerebral blood flow parameter is the cerebral blood flow parameter collected at the beginning of inhalation, and the second cerebral blood flow parameter is the cerebral blood flow parameter collected at the end of inhalation; for the breath-holding sub-action, the corresponding first cerebral blood flow parameter is the cerebral blood flow parameter collected at the beginning of breath-holding or the end of inhalation, and the second cerebral blood flow parameter is the cerebral blood flow parameter during the breath-holding process; for the exhalation sub-action, the corresponding first cerebral blood flow parameter is the cerebral blood flow parameter collected at the beginning of exhalation or the end of breath-holding, and the second cerebral blood flow parameter is the cerebral blood flow parameter collected at the end of exhalation.
[0057] When executing each sub-action, the ultrasound device can compare the cerebral blood flow parameters collected during the execution of the sub-action with the cerebral blood flow parameters collected after the execution of the sub-action to determine the change value between the two, and use the change value to represent the change state of the cerebral blood flow parameter.
[0058] In some optional implementations, the above method may further include:
[0059] Step a1, obtain the sub-action currently being executed and perform timing.
[0060] Step a2, determining the execution time of the next sub-action based on the timing result.
[0061] Step a3: At the execution time of each sub-action, the first target cerebral blood flow parameter corresponding to each sub-action is collected.
[0062] After the target object performs a sub-action according to the prompt information or the guidance of the medical staff, the duration of the sub-action is timed. When the timing reaches the duration of the sub-action, it means that the execution of the next sub-action can be started. At this time, the next moment when the current sub-action ends can be used as the execution time of the next sub-action. After the target object performs the next sub-action, the timing for the next sub-action can be started. For the timing of each sub-action, see Table 1. During the execution of each sub-action, the corresponding first target cerebral blood flow parameter is collected through the probe.
[0063] Table 1 Timing and voice prompts of sub-actions
[0064] Action breakdown Timing voice Inhale 0s Start breathing Hold your breath and blow hard, keeping 5s Hold your breath and blow hard, keeping Exhale and relax 15-20S Exhale and relax
[0065] In the above implementation, by timing the execution time of each sub-action, the cerebral blood flow parameters corresponding to each sub-action can be automatically detected.
[0066] Step S203, determining whether the target action performed by the target object is qualified based on the change state, and displaying the execution result of the foaming test in the monitoring interface.
[0067] Specifically, the above step S203 may include:
[0068] Step S2031, detecting whether the change state meets a preset change condition.
[0069] An effective target action will first cause a decrease in blood flow when holding the breath, with the systolic flow velocity decreasing by about 30 cm / s, the average flow velocity decreasing by about 25 cm / s, or a 25% decrease compared to the basal systolic flow velocity. The blood flow will increase after relaxation and exhalation. Therefore, the effectiveness of the execution of the target action can be judged based on the changing characteristics of cerebral blood flow parameters.
[0070] The preset change condition indicates the change range of the cerebral blood flow parameter, that is, the systolic velocity decreases by about 30 cm / s and the average velocity decreases by about 25 cm / s. The change state of the cerebral blood flow parameter generated during the execution of each sub-action is compared with the preset change condition to determine whether it meets the preset change condition. When the change trend meets the preset change condition, step S2032 is executed, otherwise step S2033 is executed.
[0071] Step S2032: when the change state satisfies the preset change condition, it is determined that the target action performed by the target object is qualified.
[0072] Cerebral blood flow parameters include blood flow velocity and average blood flow velocity. The collection and analysis of cerebral blood flow parameters are performed at the beginning of inhalation. Specifically, the blood flow velocity at the beginning of inhalation is the basic systolic blood flow velocity Vp1; the systolic blood flow velocity value when holding the breath and blowing hard is Vp2, the average blood flow velocity is Vm2, the minimum systolic blood flow velocity when holding the breath is Vp3, and the average blood flow velocity is Vm3; the systolic blood flow velocity when exhaling and relaxing is Vp4, and the average blood flow velocity is Vm4.
[0073] If Vp2-Vp3 is greater than or equal to 30cm / s, or Vm2-Vm3 is greater than or equal to 25cm / s, or Vp2 is less than or equal to 25% Vp1, and Vp4 is greater than Vp3, then the target action performed by the target object can be determined to be a qualified action. Thus, the change value before and after each sub-action can be automatically calculated according to the blood flow velocity of different target objects, and the execution effectiveness of each sub-action can be determined according to the relative change value.
[0074] Step S2033: when the change state does not satisfy the preset change condition, it is determined that the target action executed by the target object is unqualified, and the execution process for the target action is repeated.
[0075] When the change state does not meet the preset change condition, it means that the target object has not correctly executed the target action. In order to ensure the accuracy of the foaming test, a prompt message can be issued to make the target object repeat the execution process of the target action.
[0076] Step S2034, when the effective number of executions of the target action reaches the target number, the foaming test of the target object is ended.
[0077] The target number is the preset effective number of times required for the target object to perform the target action, such as 2 times, 3 times, etc. The target number is not limited here, and technicians in this field can determine it according to actual needs.
[0078] The effective execution times of the target action are counted. When the effective execution times reach the target times, it indicates that the target object has completed the foaming test. At this time, the target object can be prompted to end the execution of the target action.
[0079] Step S2035, extracting the maximum number of emboli from the target number of times as the test result of the foaming test.
[0080] During the execution of each target action, the microembolic signals appearing in the intracranial artery within a certain time window will be monitored to record the corresponding number of emboli. After the completion of the foaming test, the number of emboli generated after each execution of the target action will be compared to determine the maximum number of emboli, and the maximum value will be determined as the test result of the foaming test.
[0081] Step S2036, displaying the test results of the foaming test and the execution results of the target action in the monitoring interface.
[0082] During the execution of the target action, the execution results of the target action and the analysis results of the changes in cerebral blood flow parameters are displayed in the monitoring interface of the ultrasound device. After the foaming test is completed, the execution results of the foaming test are displayed in the monitoring interface of the ultrasound device for easy viewing by medical staff.
[0083] It should be noted that the blood flow spectrum, blood flow change curve, number of emboli, grading results, etc. during the entire foaming test process can be automatically generated into corresponding record files after the test. The doctor only needs to review the record files after the test.
[0084] The cerebral blood flow analysis method provided in the embodiment of the present invention decomposes the target action to analyze the cerebral blood flow parameters corresponding to each sub-action, thereby accurately determining the problems encountered by the target object in the process of executing the target action, facilitating targeted guidance for the target object, and further ensuring the effectiveness of the execution of the bubble test. By determining whether the target action performed by the target object is qualified based on the change state of the cerebral blood flow parameters, it is possible to automatically analyze the execution process of the target action without the need for a doctor to make a judgment, thereby simplifying the operating steps of the bubble test. When it is determined that the target action performed by the target object is unqualified, the target action is performed again until an effective number of times is reached, further ensuring the accuracy of the results of the bubble test.
[0085] In some optional embodiments, Figure 3 As shown, before collecting the cerebral blood flow parameters of the target object during the target action, the method may further include:
[0086] Step b1, collecting initial monitoring parameters and / or initial cerebral blood flow parameters of the target object.
[0087] Step b2: determining whether the target object is in a resting state based on the change trend of the initial monitoring parameters and / or the initial cerebral blood flow parameters.
[0088] Step b3, when the target object is in a resting state, collecting the number of emboli in the resting state.
[0089] Step b4: Analyze the number of emboli to determine whether to execute the training process for the target action.
[0090] In order to ensure the effectiveness and eligibility of the subsequent execution of the target action, the target object can be trained to practice the target action so that the target object can practice the target action to ensure the smooth execution of the subsequent foaming test process.
[0091] The initial cerebral blood flow parameters are the cerebral blood flow parameters and initial monitoring parameters (such as heart rate) of the target object collected by the probe after the bubble test is started. In order to ensure the accuracy of the bubble test results, it is necessary to ensure that the target object is tested in a calm state. Here, by analyzing the initial monitoring parameters or initial cerebral blood flow parameters of the target object, the change values of blood flow parameters such as systolic blood flow velocity, end-diastolic blood flow velocity, average blood flow velocity, and heart rate change values are determined. That is, from the time the bubble test is started, the change value of the target object's heart rate and / or cerebral blood flow (systolic blood flow velocity, end-diastolic blood flow velocity, average blood flow velocity) is calculated. If the change rate of the heart rate / cerebral blood flow is less than a preset value (such as 10% within 20 consecutive seconds, the change rate can be pre-set by medical personnel and is not specifically limited here), it is considered that the target object has a good rest and can be determined to be in a resting state.
[0092] After confirming that the target object is in a resting state, the embolus detection step in a resting state is entered. At this time, a voice prompt countdown of 5 seconds can be started, and a "start" prompt is issued after the countdown ends, so that the medical staff can inject normal saline into the target object. The ultrasound equipment can analyze the number of emboli from the "start" moment to determine the number of emboli counts and their corresponding classifications.
[0093] If the number of emboli is greater than 1, it means that the current test result is positive. At this time, the embolus classification result can be obtained based on the number of emboli, and the test can be ended, or the next step of the target action practice can be continued. If the number of emboli is 0, it means that the current test result is negative. At this time, further testing is required to confirm the test result and directly enter the target action practice process.
[0094] The cerebral blood flow analysis method provided in this embodiment analyzes the change trend of the initial cerebral blood flow parameters of the target object to determine whether the target object is in a resting state, thereby automatically evaluating whether it can enter the next process. Compared with setting a fixed rest time in the related art, this method can ensure the accuracy of the target object entering a resting state, and can also effectively shorten the waiting time during the foaming test, thereby improving the execution efficiency of the foaming test.
[0095] In some optional embodiments, the above method may further include:
[0096] Step c1, collecting the third cerebral blood flow parameter during the training process.
[0097] Step c2: determining whether the training process of the target action is effective based on the change trend of the third cerebral blood flow parameter.
[0098] Step c3: when the practice process of the target action is valid, generate first prompt information, the first prompt information is used to prompt to enter the execution process of the target action.
[0099] Step c4, when the practice process of the target action is invalid, generating a second prompt information, the second prompt information is used to prompt to practice the target action again.
[0100] The third cerebral blood flow parameter is the cerebral blood flow parameter collected by executing each sub-action during the target action practice process. That is, during the practice, the blood flow velocity collected at the beginning of inhalation is the basic systolic blood flow velocity Vp1; the systolic blood flow velocity value when holding the breath and blowing hard is Vp2, the average blood flow velocity is Vm2, the minimum systolic blood flow velocity when holding the breath is Vp3, and the average blood flow velocity is Vm3; the systolic blood flow velocity when exhaling and relaxing is Vp4, and the average blood flow velocity is Vm4.
[0101] The blood flow change values for whether each sub-action is effective are shown in Table 2. If Vp2-Vp3 is greater than or equal to 30cm / s, or Vm2-Vm3 is greater than or equal to 25cm / s, or Vp2 is less than or equal to 25% Vp1, and Vp4 is greater than Vp3, then it can be determined that the practice process of the target action is effective, and the first prompt information of effective practice can be generated, indicating that the execution process of the target action can be entered.
[0102] Table 2 Blood flow change values of sub-actions
[0103]
[0104] If the blood flow change value corresponding to any one or more sub-actions does not meet the requirements, the practice process of the target action can be determined to be invalid, and a second prompt message indicating invalid practice can be generated. In order to ensure the smooth execution of the subsequent foaming test, the practice process of the target action needs to be performed again at this time to ensure that the practice process is valid before the formal target action execution process is performed.
[0105] The cerebral blood flow analysis method provided in this embodiment determines whether the practice process of the target action is valid by analyzing the changing trend of the cerebral blood flow parameters in the practice process. When the practice process is invalid, the practice process of the target action is re-entered, and when the practice process is valid, the execution process of the target action is entered. This ensures the accuracy of the target object in executing the target action and avoids the phenomenon of multiple failures in the actual execution of the target action due to invalid practice.
[0106] In some optional embodiments, Figure 3 As shown, the above method may further include: when entering the execution process of the target action, determining whether the target object is in a resting state again based on the change trend of the monitoring parameters and / or cerebral blood flow parameters.
[0107] After completing the effective practice process of the target action, the target subject can lie on the bed to rest. At this time, the monitoring parameters and / or cerebral blood flow parameters of the target subject during the rest process are collected to determine whether the target subject is in a resting state. When the target subject is in a resting state, it means that the conditions for entering the target action execution process are met. At this time, a voice command can be issued to prompt the medical staff to inject the contrast agent and prompt the target subject to perform the target action.
[0108] The cerebral blood flow analysis method provided in this embodiment determines again whether the target object is in a resting state when entering the execution process of the target action, and enters the target action execution process when the target object is in a resting state. It is no longer dependent on a fixed rest waiting time, thereby improving the execution efficiency of the bubble test.
[0109] The present invention provides an ultrasonic device. Figure 4 , Figure 4 1 is a schematic diagram of the structure of an ultrasound device provided by an optional embodiment of the present invention, wherein the ultrasound device 100 includes at least one ultrasound probe 110, a host 120 and a display 130. The ultrasound probe 110 is connected to the host through a probe interface provided on the host 120. The host 120 is connected to the ultrasound probe 110 and the display 130 in communication, and the host 120 is used to execute the cerebral blood flow analysis method described in any of the above embodiments, and the display 130 is used to display a monitoring interface, and to display the change state of cerebral blood flow parameters and the execution results of the foaming test on the monitoring interface. Of course, the function of the display 130 is not limited to this, and is specifically set according to actual needs.
[0110] Specifically, the ultrasound probe 110 is used to perform transcranial ultrasound scanning on a part to be scanned of a target object, so as to collect cerebral blood flow parameters of the target object.
[0111] Specifically, the host 120 includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses for communication, and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 4 A processor 10 is taken as an example.
[0112] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.
[0113] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.
[0114] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0115] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.
[0116] Specifically, the display 130 includes, but is not limited to, a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display 130 may be a touch screen.
[0117] The ultrasound device also includes a communication interface for the ultrasound device to communicate with other devices or a communication network.
[0118] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.
[0119] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.
Claims
1. A method for analyzing cerebral blood flow, characterized in that: The method comprises: Collecting cerebral blood flow parameters of the target subject when performing the target action in the bubble test; Analyzing the cerebral blood flow parameters to determine the change state of the cerebral blood flow parameters; Based on the change state, it is determined whether the target action performed by the target object is qualified, and the execution result of the foaming test is displayed in a monitoring interface.
2. The method according to claim 1, characterized in that The analyzing the cerebral blood flow parameters to determine the change state of the cerebral blood flow parameters includes: Decomposing the target action into multiple sub-actions; In the process of executing each of the sub-actions, collecting the first cerebral blood flow parameter corresponding to each of the sub-actions; Based on the first cerebral blood flow parameter corresponding to each of the sub-actions and the second cerebral blood flow parameter after executing each of the sub-actions, a change state of the cerebral blood flow parameter corresponding to each of the sub-actions is determined.
3. The method according to claim 2, characterized in that Also includes: Obtain the sub-action currently being executed and perform timing; Determine the execution time of the next sub-action based on the timing result; At the execution time of each of the sub-actions, the first target cerebral blood flow parameter corresponding to each of the sub-actions is collected.
4. The method according to claim 2, characterized in that: Determining whether the target action performed by the target object is qualified based on the change state includes: Determining whether the change state satisfies a preset change condition; When the change state satisfies a preset change condition, it is determined that the target action performed by the target object is qualified.
5. The method according to claim 4, characterized in that Also includes: When the change state does not satisfy the preset change condition, determining that the target action executed by the target object is unqualified, and repeating the execution process for the target action; When the effective number of executions of the target action reaches the target number, the foaming test of the target object is terminated; The maximum value of the number of emboli is extracted from the target number of times as the test result of the foaming test.
6. The method according to claim 1, characterized in that Before collecting the cerebral blood flow parameters of the target object during the target action, the following steps are also included: Acquiring initial monitoring parameters and / or initial cerebral blood flow parameters of the target object; Determining whether the target subject is in a resting state based on the change trend of the initial monitoring parameter and / or the initial cerebral blood flow parameter; When the target object is in a resting state, collecting the number of emboli in the resting state; The number of emboli is analyzed to determine whether to perform a training process for the target action.
7. The method according to claim 6, characterized in that Also includes: collecting a third cerebral blood flow parameter during the exercise process; Determining whether the exercise process of the target action is effective based on the change trend of the third cerebral blood flow parameter; When the practice process of the target action is valid, generating first prompt information, wherein the first prompt information is used to prompt entering the execution process of the target action; When the practice process of the target action is invalid, second prompt information is generated, and the second prompt information is used to prompt the user to practice the target action again.
8. The method according to claim 7, characterized in that Also includes: When entering the execution process of the target action, it is determined again whether the target object is in a resting state based on the change trend of the monitoring parameters and / or cerebral blood flow parameters.
9. An ultrasonic device, characterized in that: include: At least one ultrasound probe, a host and a display, wherein the ultrasound probe is connected to the host through a probe interface; The at least one ultrasound probe is used to collect cerebral blood flow parameters of the target object; The host comprises a memory and a processor, the memory and the processor are in communication with each other, the memory stores computer instructions, and the processor executes the cerebral blood flow analysis method according to any one of claims 1 to 8 by executing the computer instructions; The display is connected to the host for communication, and is used for displaying a monitoring interface, and showing the change status of cerebral blood flow parameters and the execution result of the foaming test on the monitoring interface.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the cerebral blood flow analysis method according to any one of claims 1 to 8.
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