Method for analyzing cerebral blood flow, ultrasound device and storage medium

Abstract

The application relates to the technical field of medical electronics, and discloses a brain blood flow analysis method, an ultrasonic device and a storage medium. The method comprises the following steps: collecting brain blood flow parameters of a target object performing a target action in a bubble test; analyzing the brain blood flow parameters to determine the change state of the brain 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. Through the technical scheme, automatic detection of the target action is realized, the operation process of medical staff is simplified, and the execution efficiency and execution effectiveness of the bubble test are improved.

Description

Technical Field

[0001] This invention relates to the field of medical electronics technology, specifically to a method for analyzing cerebral blood flow, an ultrasound device, and a storage medium. Background Technology

[0002] Currently, transcranial Doppler (TCD) blood flow analyzer is the most widely used ultrasound device for performing bubble tests. When performing a bubble test using TCD, the test is conducted both at the patient's resting state and during the standard Valsalva maneuver. Medical staff use an injection of hand-vibrated saline solution 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 foam test requires that the Valsalva maneuver be performed correctly. The relevant technologies can only guide the target 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, embodiments of the present invention provide a method for analyzing cerebral blood flow, an ultrasound device, and a storage medium to solve the problem of the difficulty in automatically detecting Valsalva maneuvers.

[0005] In a first aspect, embodiments of the present invention provide a method for analyzing cerebral blood flow, comprising: collecting cerebral blood flow parameters of a target object performing a target action in a foaming test; analyzing the cerebral blood flow parameters to determine the changing state of the cerebral blood flow parameters; determining whether the target action performed by the target object is qualified based on the changing state, and displaying the execution result of the foaming test in a monitoring interface.

[0006] The cerebral blood flow analysis method provided in this invention collects cerebral blood flow parameters of the target object during the execution of a target action (Valsalva maneuver), analyzes these parameters to determine their changing state, and then combines the changing state of the cerebral blood flow parameters to determine whether the target action is qualified. The determination process and results are displayed on the monitoring interface. This achieves automatic detection of the target action, simplifies the operation process for medical personnel, and improves the efficiency and effectiveness of foam testing.

[0007] In one optional implementation, analyzing cerebral blood flow parameters and determining the changing state of cerebral blood flow parameters includes: decomposing the target action into multiple sub-actions; collecting first cerebral blood flow parameters corresponding to each sub-action during the execution of each sub-action; and determining the changing state of cerebral blood flow parameters corresponding to each sub-action based on the first cerebral blood flow parameters corresponding to each sub-action and the second cerebral blood flow parameters after the execution of each sub-action.

[0008] The cerebral blood flow analysis method provided in this invention decomposes the target action to analyze the cerebral blood flow parameters corresponding to each sub-action. This can accurately identify the problems existing in the target object during the execution of the target action, which facilitates targeted guidance to the target object and further ensures the effectiveness of the foaming test.

[0009] In an optional implementation, the method further includes: acquiring the currently executed sub-action and timing it; determining the execution time of the next sub-action based on the timing result; and collecting the first target cerebral blood flow parameters corresponding to each sub-action at the execution time of each sub-action.

[0010] The cerebral blood flow analysis method provided in this embodiment of the invention facilitates automatic detection of cerebral blood flow parameters corresponding to each sub-action by timing the execution time of each sub-action.

[0011] In one optional implementation, determining whether the target action performed by the target object is qualified based on the changed state includes: judging whether the changed state meets the preset change conditions; when the changed state meets the preset change conditions, determining that the target action performed by the target object is qualified.

[0012] The cerebral blood flow analysis method provided in this invention determines whether the target action performed by the target object is qualified by the change of cerebral blood flow parameters. This enables automatic analysis of the target action execution process without the need for doctor's judgment, and simplifies the operation steps of the foaming test.

[0013] In an optional implementation, the method further includes: when the change state does not meet the preset change conditions, 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 times the target action is executed reaches the target number, ending the foaming test of the target object; and extracting the maximum value of the number of plugs from the target number as the test result of the foaming test.

[0014] The cerebral blood flow analysis method provided in this embodiment of the 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, which further ensures the accuracy of the foaming test results.

[0015] In one optional implementation, before collecting cerebral blood flow parameters of the target object during the execution of the target action, the method further includes: collecting 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 changing trend of the initial monitoring parameters and / or initial cerebral blood flow parameters; collecting the number of emboli in the resting state when the target object is in a resting state; and analyzing the number of emboli to determine whether to execute the practice process for the target action.

[0016] The cerebral blood flow analysis method provided in this invention analyzes the changing trends of initial monitoring parameters or initial cerebral blood flow parameters of the target object to determine whether the target object is in a resting state, thereby automatically assessing whether it can proceed to the next process. Compared with setting a fixed rest time in related technologies, this method can ensure the accuracy of the target object entering a resting state and can also effectively shorten the waiting time in the foaming test process, thereby improving the execution efficiency of the foaming test.

[0017] In an optional implementation, the method further includes: collecting third cerebral blood flow parameters during the practice process; determining whether the practice process of the target action is effective based on the changing trend of the third cerebral blood flow parameters; generating a first prompt message when the practice process of the target action is effective, the first prompt message being used to prompt entry into the execution process of the target action; and generating a second prompt message when the practice process of the target action is invalid, the second prompt message being used to prompt the re-entry of the practice process of the target action.

[0018] The cerebral blood flow analysis method provided in this invention analyzes the changing trends of cerebral blood flow parameters during the practice process to determine whether the practice process of the target action is effective. If the practice process is ineffective, the method re-enters the practice process of the target action; if the practice process is effective, it enters the execution process of the target action. This ensures the accuracy of the target object in performing the target action and avoids the phenomenon of multiple failures when actually performing the target action due to ineffective practice.

[0019] In an optional implementation, the method further includes: when entering the execution process of the target action, determining again whether the target object is in a resting state based on the changing trends of monitoring parameters and / or cerebral blood flow parameters.

[0020] The cerebral blood flow analysis method provided in this embodiment of the invention determines whether the target object is in a resting state by analyzing the changing trends of monitoring parameters or cerebral blood flow parameters when entering the execution process of the target action. As long as the target object is determined to be in a resting state, the execution process of the target action can be entered. This eliminates the reliance on a fixed resting waiting time, thereby improving the execution efficiency of the foaming test.

[0021] Secondly, embodiments of the present invention provide an ultrasound device, comprising: at least one ultrasound probe, a host computer, and a display, wherein the ultrasound probe is connected to the host computer via a probe interface; at least one ultrasound probe is used to collect cerebral blood flow parameters of a target object; the host computer includes a memory and a processor, which are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the cerebral blood flow analysis method of the first aspect or any corresponding embodiment described above; the display is communicatively connected to the host computer and is used to display a monitoring interface, and to display the changing state of cerebral blood flow parameters and the execution results of the foaming test on the monitoring interface.

[0022] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions for causing a computer to execute the cerebral blood flow analysis method of the first aspect or any corresponding embodiment described above. Attached Figure Description

[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating a method for analyzing cerebral blood flow according to some embodiments of the present invention;

[0025] Figure 2 This is a flowchart illustrating another method for analyzing cerebral blood flow according to some embodiments of the present invention;

[0026] Figure 3 This is a flowchart illustrating another method for analyzing cerebral blood flow according to some embodiments of the present invention;

[0027] Figure 4 This is a structural block diagram of an ultrasonic device according to some embodiments of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort 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 cleared through the pulmonary circulation. However, if the foramen ovale (PFO) remains open, emboli from the venous system can bypass the pulmonary circulation and directly reach the brain tissue during actions such as coughing, lifting heavy objects, straining during bowel movements, or changes in body position. This can lead to a series of clinical syndromes, including cerebral infarction, migraine, syncope, hypoxemia, and decompression sickness. Transcranial Doppler ultrasound combined with a saline foam test is an effective method for screening for PFO and can also be used as a screening tool for the etiology of ischemic stroke of unknown cause.

[0030] Transcranial Doppler (TCD) blood flow analyzer is currently the most widely used device for bubble tests. When performing a bubble test using TCD, a nurse injects hand-vibrated saline solution as an enhancer, both when the patient is at rest and during the standard Valsalva maneuver. Simultaneously, a physician uses transcranial Doppler ultrasound to detect the number of microemboli (air emboli) in one or both cerebral arteries to ensure accurate execution of the bubble test.

[0031] However, the validity of the foam test depends on the proper execution of the Valsalva maneuver. While related technologies have improved in areas such as automatic timing, voice prompts, and foam result grading, the adequacy of the Valsalva maneuver still requires physician judgment. The physician needs to observe changes in the blood flow curve during the Valsalva maneuver to determine its adequacy; if it is not adequate, the test needs to be repeated. Furthermore, the entire foam test requires the physician to observe curve changes and operate the keypad, while the nurse injects the contrast agent according to voice prompts; a two-person operation is necessary to conduct the test.

[0032] In addition, since the examination needs to be performed in a resting state, the rest time before each step of the examination is set to a fixed time (usually 2 minutes) in the relevant technology. However, some patients may have their heart rate, blood pressure and other parameters calm down after lying flat for about 1 minute, so setting a fixed time 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 changes in the cerebral blood flow data, and displays the judgment process and results on the monitoring interface, thereby further simplifying the doctor's operation process and improving the efficiency and effectiveness of the examination.

[0034] In addition, by analyzing the monitoring parameters of the target object collected during the rest period and combining the changes in the monitoring parameters, the system can automatically assess whether it is possible to proceed to the next step, which effectively shortens the waiting time in the foaming test process and thus 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 in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0036] This embodiment provides a method for analyzing cerebral blood flow, which can be used in ultrasound equipment, etc. Figure 1 This is a flowchart 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: Collect cerebral blood flow parameters of the target object when it performs the target action in the foaming test.

[0038] Cerebral blood flow parameters are dynamic parameters used to characterize blood flow in the intracranial and extracranial vessels of a target subject. Specifically, cerebral blood flow parameters can include blood flow velocity, mean blood flow velocity, etc. Cerebral blood flow parameters are usually detected in the middle cerebral artery, and monitoring of one or both middle cerebral arteries can be selected as needed.

[0039] When collecting cerebral blood flow parameters, place the probe on the detection site and adjust the relevant parameters such as sampling volume, gain, depth, and embolus detection 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 foaming test (c-TCD) is a contrast-enhanced transcranial Doppler ultrasound. It mainly involves injecting activated saline into the elbow vein of the target subject at rest and while performing the standard Valsalva maneuver. The test monitors the microemboli signals that appear in the intracranial arteries within a certain time window and uses the emboli signals to determine whether there is a right-to-left shunt and the degree of shunt.

[0041] The target action is the Valsalva maneuver performed by the target object during the foaming test. The cerebral blood flow parameters of the target object during the execution of the target action are collected by a pre-placed probe according to the pre-set parameters.

[0042] Step S102: Analyze cerebral blood flow parameters to determine the changes in cerebral blood flow parameters.

[0043] Because cerebral blood flow parameters are not constant during the execution of a target action, but rather exhibit increasing or decreasing trends, analyzing the monitored cerebral blood flow parameters allows us to determine their real-time changes.

[0044] Step S103: Determine whether the target action performed by the target object is qualified based on the changed state, and display the execution result of the foaming test in the monitoring interface.

[0045] If the target object performs the target action correctly, the changes in cerebral blood flow parameters will remain within a certain range. If the target object performs the target action incorrectly, the changes in cerebral blood flow parameters will deviate from this range. Therefore, by combining the changes in cerebral blood flow parameters, it can be determined whether the target object's target action was successful. Furthermore, the changes in cerebral blood flow parameters and the execution result can be displayed on the ultrasound monitoring interface for medical personnel to review.

[0046] The cerebral blood flow analysis method provided in this embodiment collects cerebral blood flow parameters of the target object during the execution of the target action (Valsalva maneuver) and analyzes the changing trends of these parameters. By combining the changes in these parameters, the method determines whether the target action is qualified and displays the determination process and results on the monitoring interface. This achieves automatic detection of the target action, simplifies the operational procedures for medical personnel, and improves the efficiency and effectiveness of the foam test.

[0047] This embodiment provides a method for analyzing cerebral blood flow, which can be used in monitoring equipment, etc. Figure 2 This is a flowchart 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: Collect cerebral blood flow parameters of the target object when it performs the target action during the foaming test. For detailed explanation, please refer to the relevant descriptions in the above embodiments; they will not be repeated here.

[0049] Step S202: Analyze cerebral blood flow parameters to determine the changes in cerebral blood flow parameters.

[0050] Specifically, step S202 above may include:

[0051] Step S2021: Decompose the target action into multiple sub-actions.

[0052] The target action consists of multiple sub-actions. Specifically, an effective target action execution process includes an inhalation process, a breath-holding process, and an exhalation process. Here, the target action can be broken down into inhalation sub-actions, breath-holding sub-actions, and exhalation sub-actions. For each sub-action, the ultrasound device can generate execution voice commands for each sub-action, such as "begin inhaling," "hold your breath and exhale forcefully, hold for 5 seconds," and "exhale and relax."

[0053] Step S2022: During the execution of each sub-action, the first cerebral blood flow parameters corresponding to each sub-action are collected.

[0054] When the target subject performs each sub-action according to voice prompts or medical staff guidance, the probe can collect the first cerebral blood flow parameters of the target subject when performing each sub-action, namely, cerebral blood flow parameter V1 during the inhalation sub-action, cerebral blood flow parameter V2 during the breath-holding sub-action, and cerebral blood flow parameter V3 during the exhalation sub-action.

[0055] Step S2023: Based on the first cerebral blood flow parameters corresponding to each sub-action and the second cerebral blood flow parameters after executing each sub-action, determine the change state of the cerebral blood flow parameters corresponding to each sub-action.

[0056] Each sub-action is executed sequentially. For the inhalation sub-action, the 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 first cerebral blood flow parameter is the cerebral blood flow parameter collected at the beginning of breath-holding or at the end of inhalation, and the second cerebral blood flow parameter is the cerebral blood flow parameter collected during the breath-holding process. For the exhalation sub-action, the first cerebral blood flow parameter is the cerebral blood flow parameter collected at the beginning of exhalation or at 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] During the execution of 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 this change value to characterize the change state of the cerebral blood flow parameters.

[0058] In some alternative implementations, the above method may further include:

[0059] Step a1: Obtain the currently executing sub-action and start timing.

[0060] Step a2: Determine the execution time of the next sub-action based on the timing results.

[0061] Step a3: At the execution time of each sub-action, collect the first target cerebral blood flow parameters corresponding to each sub-action.

[0062] After the target subject performs a sub-action according to the prompts or instructions from medical staff, the duration of that sub-action is timed. When the timer reaches the duration of the sub-action, it indicates that the next sub-action can begin. The moment immediately following the end of the current sub-action can be considered the start time for the next sub-action. After the target subject performs the next sub-action, the timing for that sub-action can be started. See Table 1 for the timing of each sub-action. During the execution of each sub-action, the corresponding first target cerebral blood flow parameters are collected via a probe.

[0063] Table 1: Timing and Voice Prompts for Sub-actions

[0064] Action breakdown Timing voice Inhale 0s Start inhaling Hold your breath and blow forcefully, hold 5s Hold your breath and blow forcefully, hold Exhale and relax 15-20S Exhale and relax

[0065] In the above embodiments, by timing the execution time of each sub-action, it is convenient to automatically detect the cerebral blood flow parameters corresponding to each sub-action.

[0066] Step S203: Determine whether the target action performed by the target object is qualified based on the changed state, and display the execution result of the foaming test in the monitoring interface.

[0067] Specifically, step S203 above may include:

[0068] Step S2031: Detect whether the change state meets the preset change conditions.

[0069] An effective target action will first cause a decrease in blood flow during breath-holding, with the systolic velocity decreasing by about 30 cm / s and the average velocity decreasing by about 25 cm / s, or a decrease of 25% compared to the baseline systolic velocity. After relaxation and exhalation, blood flow will increase. Therefore, the effectiveness of the target action can be judged based on the changes in cerebral blood flow parameters.

[0070] The preset change conditions represent the range of changes in cerebral blood flow parameters, namely, a decrease of approximately 30 cm / s in systolic velocity and a decrease of approximately 25 cm / s in average velocity. The changes in cerebral blood flow parameters generated during each sub-action are compared with the preset change conditions to determine whether they are met. If the trend meets the preset change conditions, step S2032 is executed; otherwise, step S2033 is executed.

[0071] Step S2032: When the change state meets the preset change conditions, it is determined that the target action performed by the target object is qualified.

[0072] Cerebral blood flow parameters include blood flow velocity and mean blood flow velocity. Data acquisition and analysis of cerebral blood flow parameters are performed at the beginning of inspiration. Specifically, the blood flow velocity at the start of inspiration is the baseline systolic blood flow velocity Vp1; the systolic blood flow velocity during breath-holding and forceful exhalation is Vp2, and the mean blood flow velocity is Vm2; the minimum systolic blood flow velocity during breath-holding is Vp3, and the mean blood flow velocity is Vm3; the systolic blood flow velocity during exhalation and relaxation is Vp4, and the mean blood flow velocity is Vm4.

[0073] If Vp2-Vp3 is greater than or equal to 30 cm / s, or Vm2-Vm3 is greater than or equal to 25 cm / s, or Vp2 is less than or equal to 25% of Vp1, and Vp4 is greater than Vp3, then the target action performed by the target object can be determined as a qualified action. Therefore, the changes in blood flow velocity before and after each sub-action can be automatically calculated based on the different target objects, and the validity of each sub-action can be determined based on the relative changes.

[0074] Step S2033: When the changed state does not meet the preset change conditions, it is determined that the target action performed 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 conditions, it means that the target object has not performed the target action correctly. 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 number of effective executions of the target action reaches the target number, the foaming test of the target object ends.

[0077] The target number of times is the number of effective times that the target object needs to perform the target action, such as 2 times, 3 times, etc. There is no limit to the target number of times here, and those skilled in the art can determine it according to actual needs.

[0078] The number of valid executions of the target action is counted. When the number of valid executions reaches the target number, 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: Extract the maximum number of emboli from the target number of times as the test result of the foaming test.

[0080] During each execution of the target action, microemboli signals appearing in intracranial arteries within a certain time window are monitored to record the corresponding number of emboli. After the foaming test is completed, the number of emboli generated after each execution of the target action is compared to determine the maximum number of emboli, and this maximum number is determined as the result of that foaming test.

[0081] Step S2036: Display 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 results of the action and the analysis of changes in cerebral blood flow parameters are displayed on the ultrasound monitoring interface. After the foaming test is completed, the results are displayed on the ultrasound monitoring interface for easy viewing by medical staff.

[0083] It should be noted that the blood flow spectrum, blood flow change curve, number of emboli, and grading results throughout the foaming test can all be automatically generated as corresponding record files after the test. Doctors only need to review these record files after the test.

[0084] The cerebral blood flow analysis method provided in this invention decomposes the target action and analyzes the cerebral blood flow parameters corresponding to each sub-action. This accurately identifies problems encountered by the target subject during the execution of the target action, facilitating targeted guidance and further ensuring the effectiveness of the foam test. By determining the adequacy of the target action through changes in cerebral blood flow parameters, the method enables automated analysis of the target action execution process, eliminating the need for physician judgment and simplifying the foam test procedure. If the target action is determined to be ineligible, it is executed again until the required number of repetitions is reached, further ensuring the accuracy of the foam test results.

[0085] In some alternative implementation methods, such as Figure 3 As shown, before collecting cerebral blood flow parameters of the target object during the execution of the target action, the above method may further include:

[0086] Step b1: Collect initial monitoring parameters and / or initial cerebral blood flow parameters of the target object.

[0087] Step b2: Based on the changing trends of initial monitoring parameters and / or initial cerebral blood flow parameters, determine whether the target subject is in a resting state.

[0088] Step b3: When the target object is in a resting state, collect the number of emboli in the resting state.

[0089] Step b4: Analyze the number of thrombi to determine whether to proceed with the training process targeting the action.

[0090] To ensure the effectiveness and qualification of the subsequent execution of the target action, the target subject can be trained to practice the target action, thereby ensuring the smooth execution of the subsequent foaming test process.

[0091] Initial cerebral blood flow parameters are acquired via probe after the foaming test is initiated, along with initial monitoring parameters (e.g., heart rate). To ensure the accuracy of the foaming test results, the target subject must be in a calm state during the test. Here, the initial monitoring parameters or initial cerebral blood flow parameters of the target subject are analyzed to determine the changes in blood flow parameters such as systolic blood flow velocity, end-diastolic blood flow velocity, and mean blood flow velocity, as well as the changes in heart rate. Specifically, from the start of the foaming test, the changes in the target subject's heart rate and / or cerebral blood flow (systolic blood flow velocity, end-diastolic blood flow velocity, and mean blood flow velocity) are calculated. If the rate of change in heart rate / cerebral blood flow is less than a preset value (e.g., 10%, which can be preset by medical personnel and is not specifically limited here) for 20 consecutive seconds, the target subject is considered to be well-rested and in a resting state.

[0092] After confirming that the target subject is in a resting state, the embolus detection procedure proceeds to the resting state. At this point, a 5-second countdown can begin with an audio prompt, followed by a "Start" prompt after the countdown ends, allowing medical personnel to inject saline solution into the target subject. The ultrasound equipment can then analyze the number of emboli from the "Start" moment, determining the emboli count and their corresponding classification.

[0093] If the number of emboli is greater than 1, the current test result is positive. At this point, the emboli classification result can be obtained based on the number of emboli, and the test can end. Alternatively, you can continue to the next step of target movement practice. If the number of emboli is 0, the current test result is negative. In this case, further testing is required to confirm the test result, and you can directly enter the target movement practice process.

[0094] The cerebral blood flow analysis method provided in this embodiment analyzes the changing trends of the initial cerebral blood flow parameters of the target object to determine whether the target object is in a resting state, thereby automatically assessing whether it can proceed to the next process. Compared with the fixed rest time set in related technologies, this method can ensure the accuracy of the target object entering a resting state and can also effectively shorten the waiting time in the foaming test process, thereby improving the execution efficiency of the foaming test.

[0095] In some alternative embodiments, the above method may further include:

[0096] Step c1: Collect the third cerebral blood flow parameters during the exercise process.

[0097] Step c2: Based on the changing trend of the third cerebral blood flow parameter, determine whether the practice process of the target action is effective.

[0098] Step c3: When the practice progress of the target action is effective, generate the first prompt message. The first prompt message is used to prompt the entry into the execution process of the target action.

[0099] Step c4: When the practice process of the target action is invalid, a second prompt message is generated. The second prompt message is used to prompt the practice process of the target action to be performed again.

[0100] The third cerebral blood flow parameter is the cerebral blood flow parameter collected during the execution of each sub-action in the process of practicing the target action. 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 during breath-holding and forceful exhalation is Vp2, and the average blood flow velocity is Vm2; the minimum systolic blood flow velocity during breath-holding is Vp3, and the average blood flow velocity is Vm3; the systolic blood flow velocity during exhalation and relaxation is Vp4, and the average blood flow velocity is Vm4.

[0101] The blood flow changes for determining the effectiveness of each sub-action are shown in Table 2. If Vp2-Vp3 is greater than or equal to 30 cm / s, or Vm2-Vm3 is greater than or equal to 25 cm / s, or Vp2 is less than or equal to 25% of Vp1, and Vp4 is greater than Vp3, then the practice of the target action can be determined to be effective. At this time, a first prompt message indicating that the practice is effective can be generated, indicating that the execution process of the target action can begin.

[0102] Table 2 Blood flow changes during 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. To ensure the smooth execution of subsequent foaming tests, the practice process of the target action needs to be repeated to ensure that the practice process is valid before proceeding with the formal execution of the target action.

[0105] The cerebral blood flow analysis method provided in this embodiment analyzes the changing trends of cerebral blood flow parameters during the practice process to determine whether the practice process of the target action is effective. If the practice process is ineffective, the practice process of the target action is restarted; if the practice process is effective, the execution process of the target action is started. This can ensure the accuracy of the target object in performing the target action and avoid multiple failures when actually performing the target action due to ineffective practice.

[0106] In some alternative implementation methods, such as Figure 3 As shown, the above method may further include: when entering the execution process of the target action, determining again whether the target object is in a resting state based on the changing trends of monitoring parameters and / or cerebral blood flow parameters.

[0107] After completing the effective practice of the target action, the subject can rest in bed. During this time, monitoring parameters and / or cerebral blood flow parameters are collected to determine if the subject is in a resting state. When the subject is in a resting state, it indicates that the conditions for entering the target action execution process have been met. At this point, a voice command can be issued to prompt medical staff to inject the contrast agent and to instruct the subject to perform the target action.

[0108] The cerebral blood flow analysis method provided in this embodiment determines whether the target object is in a resting state again when entering the execution process of the target action. It enters the execution process of the target action when the target object is in a resting state, no longer relying on a fixed resting waiting time, thereby improving the execution efficiency of the foaming test.

[0109] This invention provides an ultrasonic device; please refer to [link / reference]. Figure 4 , Figure 4 This is a schematic diagram of an ultrasound device provided in an optional embodiment of the present invention. The ultrasound device 100 includes at least one ultrasound probe 110, a main unit 120, and a display 130. The ultrasound probe 110 is connected to the main unit 120 via a probe interface provided on the main unit 120. The main unit 120 is communicatively connected to the ultrasound probe 110 and the display 130. The main unit 120 is used to execute the cerebral blood flow analysis method described in any of the above embodiments. The display 130 is used to display a monitoring interface, showing the changes in cerebral blood flow parameters and the results of the foaming test. Of course, the function of the display 130 is not limited to this and can be specifically configured according to actual needs.

[0110] Specifically, the ultrasound probe 110 is used to perform transcranial ultrasound scanning on the target area of ​​the target object in order to collect cerebral blood flow parameters of the target object.

[0111] Specifically, the host 120 includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other using different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interface). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 4 Take a processor 10 as an example.

[0112] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0113] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0114] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0115] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or 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, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display 130 may be a touch screen.

[0117] The ultrasound device also includes a communication interface for communicating with other devices or communication networks.

[0118] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0119] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method of analyzing cerebral blood flow, characterized by, The method includes: Collect cerebral blood flow parameters of the target subject when performing the target action in the foaming test; Analyzing the cerebral blood flow parameters and determining the changing state of the cerebral blood flow parameters includes: decomposing the target action into multiple sub-actions; collecting first cerebral blood flow parameters corresponding to each sub-action during the execution of each sub-action; and determining the changing state of the cerebral blood flow parameters corresponding to each sub-action based on the first cerebral blood flow parameters corresponding to each sub-action and the second cerebral blood flow parameters after the execution of each sub-action. Based on the change in state, the system automatically determines whether the target action performed by the target object is qualified, and displays the execution result of the foaming test in the monitoring interface. The step of automatically determining whether the target action performed by the target object is qualified based on the changed state includes: determining whether the changed state meets a preset change condition; when the changed state meets the preset change condition, determining that the target action performed by the target object is qualified.

2. The method of claim 1, wherein, Also includes: Obtain the currently executing sub-action and start timing; The execution time of the next sub-action is determined based on the timing results; At the execution time of each of the sub-actions, the first target cerebral blood flow parameters corresponding to each sub-action are collected.

3. The method of claim 1, wherein, Also includes: When the change state does not meet the preset change conditions, the target action performed by the target object is determined to be unqualified, and the execution process for the target action is repeated. When the number of effective executions of the target action reaches the target number, the foaming test of the target object ends; The maximum number of emboli extracted from the target number of times is taken as the test result of the foaming test.

4. The method according to claim 1, characterized in that, Before collecting cerebral blood flow parameters of the target object during the execution of the target action, the following steps are also included: Collect initial monitoring parameters and / or initial cerebral blood flow parameters of the target object; Based on the changing trends of the initial monitoring parameters and / or initial cerebral blood flow parameters, determine whether the target object is in a resting state; When the target object is in a resting state, the number of emboli in the resting state is collected; The number of emboli is analyzed to determine whether to proceed with the training process targeting the action.

5. The method of claim 4, wherein, Also includes: Collect third cerebral blood flow parameters during the exercise process; Based on the changing trend of the third cerebral blood flow parameter, determine whether the practice process of the target action is effective; When the practice process of the target action is effective, a first prompt message is generated, which is used to prompt the entry into the execution process of the target action; When the practice process of the target action is invalid, a second prompt message is generated, which prompts the user to practice the target action again.

6. The method of claim 5, wherein, Also includes: When the execution process of the target action is initiated, the target object is again determined to be in a resting state based on the changing trends of monitoring parameters and / or cerebral blood flow parameters.

7. An ultrasound apparatus, characterized by include: The system includes at least one ultrasound probe, a main unit, and a display, wherein the ultrasound probe is connected to the main unit via a probe interface; The at least one ultrasound probe is used to collect cerebral blood flow parameters of the target object; The host computer includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the cerebral blood flow analysis method according to any one of claims 1 to 6. The display is communicatively connected to the host computer and is used to display the monitoring interface, showing the changes in cerebral blood flow parameters and the results of the foaming test.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method for analyzing cerebral blood flow according to any one of claims 1 to 6.

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