Target signal control method and device, electronic equipment and storage medium

Abstract

The present disclosure relates to a target signal control method and device, electronic equipment and storage medium, and relates to the technical field of signal control. The method comprises: acquiring a first biological signal and a second biological signal of a target object in real time; determining whether a first preset condition is met according to the first biological signal; determining whether a second preset condition is met according to the second biological signal; in response to determining that the first preset condition and the second preset condition are both met, determining a predicted trigger time according to the first biological signal and / or the second biological signal; adjusting the predicted trigger time according to a target time offset obtained in advance to obtain a target trigger time; and triggering control of a target signal according to the target trigger time. The present disclosure can realize accurate control of the target signal and improve the accuracy of target signal control.

Description

Technical Field

[0001] This application relates to the field of signal control technology, and in particular to a method, apparatus, electronic device and storage medium for controlling a target signal. Background Technology

[0002] An intra-aortic balloon pump (IABP) involves placing a specially designed balloon catheter inside the aorta. Controlled by an electronic and pneumatic system, the balloon inflates during diastole and deflates during systole, increasing diastolic blood pressure and decreasing systolic blood pressure in the aorta. This increases coronary blood supply and reduces cardiac afterload. Therefore, accurately controlling the timing of balloon inflation and deflation is crucial. Summary of the Invention

[0003] Embodiments of this disclosure provide a method, apparatus, electronic device, and storage medium for controlling a target signal.

[0004] In a first aspect, embodiments of this disclosure provide a method for controlling a target signal, comprising: acquiring a first biological signal and a second biological signal of a target object in real time; determining whether a first preset condition is met based on the first biological signal; determining whether a second preset condition is met based on the second biological signal; in response to determining that both the first and second preset conditions are met, determining a predicted trigger time based on the first biological signal and / or the second biological signal; adjusting the predicted trigger time based on a pre-obtained target time deviation to obtain a target trigger time; and triggering the target signal based on the target trigger time.

[0005] Secondly, embodiments of this disclosure provide a target signal control device, comprising: a signal acquisition unit configured to acquire a first biological signal and a second biological signal of a target object in real time; a first judgment unit configured to determine whether a first preset condition is met based on the first biological signal; a second judgment unit configured to determine whether a second preset condition is met based on the second biological signal; a trigger prediction unit configured to determine a predicted trigger time based on the first biological signal and / or the second biological signal in response to determining that both the first and second preset conditions are met; a trigger determination unit configured to adjust the predicted trigger time according to a pre-obtained target time deviation to obtain a target trigger time; and a signal control unit configured to perform trigger control on the target signal based on the target trigger time.

[0006] Thirdly, embodiments of this disclosure provide an electronic device including a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a control method for a target signal as described in the first aspect.

[0007] Fourthly, embodiments of this disclosure provide a non-transitory computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the control method for the target signal as described in the first aspect.

[0008] By applying the technical solution of this disclosure, the first and second biological signals of the target object can be used to determine the final target trigger time by combining the predicted trigger time with the target time deviation when the prediction conditions corresponding to both are met. This achieves precise control of the target signal and improves the accuracy of target signal control.

[0009] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0010] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0011] Figure 1 An exemplary system architecture diagram in which an embodiment of the control method for the target signal of this disclosure can be applied;

[0012] Figure 2 This is a flowchart illustrating an embodiment of the target signal control method of this disclosure;

[0013] Figure 3 This is a flowchart illustrating another embodiment of the target signal control method of this disclosure;

[0014] Figure 4a and Figure 4b This is a schematic diagram illustrating the method for controlling the target signal in this disclosure, which determines the target triggering time using the aortic pressure signal.

[0015] Figure 5 A schematic diagram of the structure of an embodiment of the control device for the target signal of this disclosure;

[0016] Figure 6 This is a schematic diagram of the structure of an embodiment of the electronic device disclosed herein. Detailed Implementation

[0017] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of this disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains.

[0018] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this disclosure. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0019] Where there is no conflict, the embodiments and features described herein can be combined with each other.

[0020] To make the technical solutions and advantages of this disclosure clearer, the following description, in conjunction with the accompanying drawings and specific embodiments, will provide a more detailed account of this disclosure.

[0021] Figure 1 An exemplary system architecture 100 is shown, which can be applied to an embodiment of a control method or control device for a target signal of the present disclosure.

[0022] like Figure 1 As shown, the system architecture 100 may include biosignal acquisition devices 101 and 102 and terminal device 103. The biosignal acquisition devices 101 and 102 and the terminal device 103 are connected via a network or cable or other medium to achieve data transmission.

[0023] Biosignal acquisition devices 101 and 102 are used to simultaneously acquire biosignals from the target object. It can be understood that biosignal acquisition devices 101 and 102 are used to acquire different types of biosignals; for example, biosignal acquisition device 101 is used to acquire electrocardiogram (ECG) signals, while biosignal acquisition device 102 is used to acquire blood pressure or venous signals, etc.

[0024] The biosignal acquisition devices 101 and 102 can transmit the acquired signals to the terminal device 103 in real time. After receiving the signals, the terminal device 103 can process them to identify the target signals in the biosignals.

[0025] Terminal device 103 can be hardware or software. When terminal device 103 is hardware, it can be various electronic devices, including but not limited to tablet computers, laptops, and desktop computers. When terminal device 103 is software, it can be installed in the electronic devices listed above. It can be implemented as multiple software programs or software modules (e.g., to provide distributed services) or as a single software program or software module. No specific limitations are made here.

[0026] In other applications, the system architecture described above may also include a database 104. The database 104 may be used to store signals acquired by the biosignal acquisition devices 101 and 102, so that the terminal device 103 can use the signals for learning at an appropriate time.

[0027] It should be noted that the signal processing method provided in this embodiment is generally executed by the terminal device 103. Accordingly, the signal processing device is generally disposed in the terminal device 103.

[0028] It should be understood that Figure 1 The number of biosignal acquisition devices, terminal devices, and databases shown is merely illustrative. Depending on implementation needs, any number of biosignal acquisition devices, terminal devices, and databases can be included.

[0029] Figure 2 A flow 200 of one embodiment of the control method for the target signal of this disclosure is shown. For example... Figure 2 As shown, the target signal control method of this embodiment may include the following steps:

[0030] Step 201: Acquire the first and second biological signals of the target object in real time.

[0031] In this embodiment, the execution entity of the target signal control method (e.g., Figure 1 The terminal device 103 shown can acquire the first and second biological signals of the target object in real time. Here, the target object can be a human or an animal. The first and second biological signals are of different types and are obtained by simultaneously and continuously acquiring them from the target object using different biological signal acquisition devices. Specifically, the first biological signal can be a left ventricular pressure signal, and the second biological signal can be an aortic pressure signal. Alternatively, the biological signals can also include electrocardiogram signals or venous signals. The first biological signal can be acquired by a pressure sensor installed in the left ventricle, and the second biological signal can be acquired by a pressure sensor installed in the aorta connected to the left ventricle.

[0032] Step 202: Determine whether the first preset condition is met based on the first biological signal.

[0033] After acquiring the first biological signal, it can be determined whether the first preset condition is met. Specifically, feature extraction can be performed on the first biological signal; if a certain feature point is detected, the first preset condition is considered met. Alternatively, the period of the first biological signal can be monitored; if the period is within a preset range, the first preset condition is considered met. Or, the similarity between the first biological signal and a preset template can be calculated; if the similarity is greater than a preset threshold, the first preset condition is considered met.

[0034] Step 203: Determine whether the second preset condition is met based on the second biological signal.

[0035] After acquiring the second biological signal, it can be determined whether the second preset condition is met. Specifically, feature extraction can be performed on the second biological signal; if a certain feature point is detected, the second preset condition is considered met. Alternatively, the period of the second biological signal can be monitored; if the period is within a preset range, the second preset condition is considered met. Or, the similarity between the second biological signal and a preset template can be calculated; if the similarity is greater than a preset threshold, the second preset condition is considered met.

[0036] In this embodiment, the first preset condition and the second preset condition may be different.

[0037] Step 204: In response to the determination that both the first preset condition and the second preset condition are met, determine the predicted trigger time based on the first biological signal and / or the second biological signal.

[0038] In this embodiment, after the executing entity determines that both the first and second preset conditions are met, the predicted trigger time can be determined based on the first biological signal and / or the second biological signal. Specifically, existing signal processing algorithms can be used to process the first and / or second biological signals to determine the predicted trigger time. For example, if the first biological signal is an electrocardiogram (ECG) signal, feature extraction can be performed on the ECG signal to determine the inflection point. The predicted trigger time is determined based on the time of the inflection point. Alternatively, if the second biological signal is an aortic pressure signal, feature extraction can be performed on the aortic pressure signal to determine the inflection point. The time of the inflection point is used as the predicted trigger time.

[0039] Step 205: Adjust the predicted trigger time according to the pre-obtained target time deviation to obtain the target trigger time.

[0040] After obtaining the predicted trigger time, the predicted trigger time can be adjusted using the pre-obtained target time deviation to obtain the target trigger time. Specifically, the predicted trigger time can be added to the target time deviation, and the resulting time can be used as the target trigger time. Alternatively, the target time deviation can be multiplied by a coefficient, and the resulting time can be added to the predicted trigger time to obtain the final target trigger time. This coefficient can be obtained from the target time deviation corresponding to the previous cycle or the cycle before that.

[0041] Step 206: Trigger control is performed on the target signal according to the target trigger time.

[0042] Once the target trigger time is obtained, the target signal can be triggered and controlled to act on the target object. Specifically, a countdown can be started before the target trigger time arrives, and the target signal can be triggered when the countdown ends. Here, the target signal can be an inflation signal or a release signal from the aortic balloon.

[0043] The target signal control method provided in the above embodiments of this disclosure can utilize the first and second biological signals of the target object. When it is determined that the prediction conditions corresponding to both are met, the final target trigger time is determined by combining the predicted trigger time with the target time deviation, thereby achieving precise control of the target signal and improving the accuracy of target signal control.

[0044] See also Figure 3 This illustrates flow 300 of another embodiment of the control method for the target signal according to this disclosure. (See also...) Figure 3 As shown, the method in this embodiment may include the following steps:

[0045] Step 301: Acquire the first and second biological signals of the target object in real time.

[0046] Step 302: Determine whether the first preset condition is met based on the first biological signal.

[0047] In some optional implementations of this embodiment, feature extraction is performed on the first biosignal to determine the amplitude of the first feature point; in response to determining that the amplitude of the first feature point is greater than or equal to the first preset threshold corresponding to the first biosignal, it is determined that the first preset condition is satisfied.

[0048] In this implementation, features can be extracted from the first biological signal to determine the amplitude of the first feature point. Here, feature extraction can utilize existing feature extraction algorithms, such as convolutional neural networks. The first feature point can be an extreme point, a feature point located a preset time interval from an extreme point, or an inflection point. Taking the left ventricular pressure signal as an example, the first feature point can be an extreme point. After determining the amplitude of the first feature point, it can be compared with a corresponding first preset threshold. If the amplitude of the first feature point is greater than or equal to the first preset threshold, the first preset condition is considered satisfied.

[0049] Step 303: Determine whether the second preset condition is met based on the second biological signal.

[0050] In some optional implementations of this embodiment, feature extraction is performed on the second biosignal to determine the amplitude of the second feature point; in response to determining that the amplitude of the second feature point is greater than or equal to the second preset threshold corresponding to the second biosignal, it is determined that the second preset condition is satisfied.

[0051] In this implementation, features can be extracted from the second biosignal to determine the amplitude of the second feature point. Here, feature extraction can utilize existing feature extraction algorithms, such as convolutional neural networks. The second feature point can be an extreme point, a feature point located a preset time interval from an extreme point, or an inflection point. Taking the aortic pressure signal as an example, the second feature point can be an inflection point. After determining the amplitude of the second feature point, it can be compared with a corresponding second preset threshold. If the amplitude of the second feature point is greater than or equal to the second preset threshold, the second preset condition is considered satisfied.

[0052] In some optional implementations of this embodiment, the difference is determined based on the amplitude of the first feature point and the amplitude of the second feature point; in response to determining that the difference is greater than or equal to the corresponding third preset threshold, the second preset condition is determined to be satisfied.

[0053] In this implementation, the amplitude of the first feature point can be compared with the amplitude of the second feature point to determine the difference between them. Then, the difference can be compared with the corresponding third preset threshold. If the difference is greater than or equal to the corresponding third preset threshold, the second preset condition is considered to be satisfied.

[0054] Step 304: In response to the determination that both the first preset condition and the second preset condition are met, determine the predicted trigger time based on the first biological signal and / or the second biological signal.

[0055] In some optional implementations of this embodiment, a third feature point is determined based on the first biosignal; and a predicted trigger time is determined based on a preset duration and the third feature point.

[0056] In this implementation, after determining that both the first and second preset conditions are met, the predicted trigger time can be determined based on the first biological signal. Specifically, features can first be extracted from the first biological signal to determine a third feature point. Here, the third feature point can be the same as or different from the first feature point. For example, the first feature point can be an extreme point, and the third feature point can be a point with an amplitude greater than a preset threshold. Then, the predicted trigger time is obtained by combining the third feature point with a preset duration. Here, the preset duration can be obtained by statistically analyzing the historical first biological signals of the target object. The preset duration can be the time between the third feature point and the target feature point in the historical first biological signals. The target feature point can be identified as the point where the target object's heart begins to pump blood, or the point where the target object's heart valves close. Specifically, the time of the third feature point can be added to the preset duration, and the resulting time can be used as the predicted trigger time.

[0057] In some optional implementations of this embodiment, a fourth feature point is determined based on the second biological signal; and a predicted trigger time is determined based on the fourth feature point and the period of the second biological signal.

[0058] In this implementation, after confirming that both the first and second preset conditions are met, the predicted trigger time can be determined based on the second biosignal. Specifically, feature extraction can be performed on the second biosignal to determine a fourth feature point. Here, the fourth feature point can be the same as or different from the second feature point. For example, the second feature point can be an extreme point, and the fourth feature point can be an inflection point in the second biosignal. After determining the fourth feature point, the predicted trigger time can be determined by combining it with the period of the second biosignal. Here, the period of the second biosignal can be calculated by statistically analyzing historical second biosignals. The fourth feature point can be considered the optimal point for triggering the target signal. Taking the aortic pressure signal as an example, the fourth feature point can be an inflection point after an extreme point.

[0059] In some optional implementations of this embodiment, the first biological signal and the second biological signal are preprocessed to determine the characteristic time; and the prediction trigger time is determined based on the characteristic time.

[0060] In this implementation, after determining that both the first and second preset conditions are met, the predicted trigger time can be determined based on the first and second biological signals. Specifically, the first and second biological signals can be preprocessed to determine a characteristic time. This characteristic time can be a moment possessing a specific feature. For example, it could be the moment of left ventricular contraction, the moment the valve connecting to the left ventricle closes, or the moment aortic pressure drops, etc. After determining the aforementioned characteristic time, it can be directly used as the predicted trigger time, or it can be further combined with a preset time delay to obtain the predicted trigger time.

[0061] Step 305: Before the target signal is triggered for the first time, the initial target trigger time is determined together with the predicted trigger time and the preset time delay; the target signal is triggered for the first time according to the initial target trigger time.

[0062] After determining the predicted trigger time, an initial target trigger time can be determined jointly based on the predicted trigger time and a preset time delay before the first trigger of the target signal. This time delay can be set according to the actual scenario, but it must be less than the period of the first and second biological signals. Furthermore, it must be ensured that the optimal time to trigger the target signal will occur before the time point obtained by adding the predicted trigger time and the initial time delay. Here, the optimal time to trigger the target signal is considered to be the time when a certain feature point in the first biological signal or the time when a certain feature point in the second biological signal appears.

[0063] In this embodiment, the predicted trigger time can be added to a preset time delay to obtain the initial target trigger time. After determining the initial target trigger time, the target signal can be triggered for the first time at the initial target trigger time.

[0064] Step 306: After the target signal is triggered for the first time, determine the optimal triggering time of the target signal based on the first biological signal and / or the second biological signal; determine the target time deviation based on the optimal triggering time and the initial target triggering time.

[0065] After the target signal is initially triggered, the optimal trigger time can be determined based on the first biological signal and / or the second biological signal. Here, the occurrence time of a specific feature point in the first biological signal or the occurrence time of a specific feature point in the second biological signal can be considered the optimal trigger time. Then, the time difference between the optimal trigger time and the initial target trigger time can be calculated, and this time difference can be used as the target time deviation.

[0066] In some optional implementations of this embodiment, feature extraction can be performed on the second biosignal to determine the target feature point in the second biosignal; the occurrence time of the target feature point can be used as the optimal trigger time.

[0067] In this implementation, feature extraction can be performed on the second biological signal to determine target feature points within it. Here, the target feature point can be a feature point representing the heart of the target object in the completed blood ejection state. The occurrence time of the target feature point can be used as the optimal trigger time.

[0068] Step 307: Adjust the predicted trigger time according to the pre-obtained target time deviation to obtain the target trigger time.

[0069] Step 308: Trigger control is performed on the target signal according to the target trigger time.

[0070] The feature extraction mentioned in the above embodiments of this disclosure can be implemented in a variety of ways, such as by performing first-order difference on the first biological signal or the second biological signal, extracting the absolute value, calculating the sine value, etc.

[0071] See also Figure 4a and Figure 4bThis illustration shows a schematic diagram of determining the target triggering time in a specific application scenario of the target signal control method of this disclosure. In this application scenario, a pressure sensor installed in the left ventricle of the target object's heart collects the left ventricular pressure signal, and a pressure sensor installed in the aorta of the target object collects the aortic pressure signal. The left ventricular pressure signal can be used to monitor the timing of cardiac ejection, and the aortic pressure signal can be used to determine whether cardiac ejection has been completed.

[0072] In this application scenario, only the aortic pressure signal can be used to determine the target trigger time. The target signal in this scenario is the inflation trigger signal of the Intra-Aortic Balloon Pump (IABP). During the inflation and deflation period of the IABP, the balloon is in a fully inflated state, and the IABP provides counterpulsation to the heart during this period.

[0073] Before the aortic balloon pump is inflated, data is continuously collected by a pressure sensor placed inside the aorta of the target patient to obtain the aortic pressure signal. For example... Figure 4a As shown, in the absence of counterpulsation, the aortic pressure increases and then decreases during cardiac ejection. At the end of cardiac ejection (e.g.... Figure 4a The middle circle indicates the position, which is the optimal inflation time of the aortic balloon pump, i.e., the optimal trigger time of the target signal t. b However, the aforementioned curve is generated in real-time based on the acquired data. If triggering occurs when the curve reaches an inflection point during the initial inflation of the balloon, the pressure control of the balloon will be delayed, resulting in a poor counterpulsation effect. To solve this problem, the method adopted is as follows: within a cardiac cycle, after a heartbeat is detected, the optimal triggering time is predicted, denoted as time t. b1 The timing of aortic changes ta1 after balloon triggering and acting on the aorta may occur at the predicted optimal timing t. b1 Before or after. If ta1 is located at t b1 Previously, the inflection point of the aortic pressure signal curve would be submerged, meaning it couldn't be displayed, thus hindering accurate assistance. To ensure ta1 is located at t... b1 Then, the prediction trigger time of the target signal is set from t b1 Delay by x milliseconds (x is an empirical value, such as 20-100 milliseconds), and record it as time tc. The selection of this value must satisfy the requirement that the actual triggering time of the target signal is after the moment when the pressure of the balloon begins to change.

[0074] Calculate the time deviation between the predicted trigger time tc and the time ta1 after the balloon is triggered and applied to the aorta: t a1 -tc=t a1 -(tb1+x)(as shown) Figure 4bAs shown in the figure, this time deviation is the target time deviation.

[0075] During subsequent balloon inflations, the calculated predicted trigger time can be shifted forward by the aforementioned target time deviation to obtain the optimal trigger time. This time deviation can be considered as the time difference between the moment t0 when the control system issues the trigger command to the aortic balloon pump and the moment t1 when the balloon pressure begins to change. Because the trigger command issued by the control system to the aortic balloon pump is advanced, the balloon pressure can be adjusted precisely at the optimal trigger time, thus achieving accurate control of the counterpulsation timing.

[0076] The target signal control method provided in the above embodiments of this disclosure can utilize the first and second biological signals of the target object. When it is determined that the prediction conditions corresponding to both are met, the final target trigger time is determined by combining the predicted trigger time with the target time deviation, thereby achieving precise control of the target signal and improving the accuracy of target signal control.

[0077] Further reference Figure 5 As an implementation of the methods shown in the above figures, this disclosure provides an embodiment of a target signal control device, which is similar to... Figure 2 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices.

[0078] like Figure 5 As shown, the target signal control device 500 of this embodiment includes: a signal acquisition unit 501, a first judgment unit 502, a second judgment unit 503, a trigger prediction unit 504, a trigger determination unit 505, and a signal control unit 506.

[0079] The signal acquisition unit 501 is configured to acquire the first and second biological signals of the target object in real time.

[0080] The first judgment unit 502 is configured to determine whether the first preset condition is met based on the first biological signal.

[0081] The second judgment unit 503 is configured to determine whether the second preset condition is met based on the second biological signal.

[0082] The prediction unit 504 is configured to determine the prediction trigger time based on the first biological signal and / or the second biological signal in response to determining that both the first preset condition and the second preset condition are met.

[0083] The trigger determination unit 505 is configured to adjust the predicted trigger time according to the pre-obtained target time deviation to obtain the target trigger time.

[0084] The signal control unit 506 is configured to trigger the target signal according to the target trigger time.

[0085] In addition, an electronic device is also proposed in the technical solution of this application.

[0086] Figure 6 A schematic diagram of the structure of an electronic device provided in one embodiment of the present disclosure is shown.

[0087] like Figure 6 As shown, the electronic device may include a processor 601, a memory 602, a bus 603, and a computer program stored in the memory 602 and executable on the processor 601. The processor 601 and the memory 602 communicate with each other via the bus 603. When the processor 601 executes the computer program, it implements the steps of the above method, including, for example: acquiring a first biological signal and a second biological signal of the target object in real time; determining whether a first preset condition is met based on the first biological signal; determining whether a second preset condition is met based on the second biological signal; in response to determining that both the first and second preset conditions are met, determining a predicted trigger time based on the first biological signal and / or the second biological signal; adjusting the predicted trigger time based on a pre-obtained target time deviation to obtain a target trigger time; and triggering the target signal based on the target trigger time.

[0088] In addition, one embodiment of this disclosure also provides a non-transitory computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steps of the above-described method, including, for example,: acquiring a first biological signal and a second biological signal of a target object in real time; determining whether a first preset condition is met based on the first biological signal; determining whether a second preset condition is met based on the second biological signal; in response to determining that both the first and second preset conditions are met, determining a predicted trigger time based on the first biological signal and / or the second biological signal; adjusting the predicted trigger time based on a pre-obtained target time deviation to obtain a target trigger time; and triggering control of the target signal based on the target trigger time.

[0089] In summary, in the technical solution disclosed herein, the predicted trigger time can be added to the preset initial time delay to obtain the initial target trigger time. After determining the initial target trigger time, the target signal can be triggered for the first time at the initial target trigger time.

[0090] The above description is merely a preferred embodiment of this disclosure and is not intended to limit this disclosure. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A control device for a target signal, wherein the target signal is an inflation trigger signal for an aortic balloon pump, comprising: The signal acquisition unit is configured to acquire a first biosignal and a second biosignal of the target object in real time; wherein the second biosignal is an aortic pressure signal. The first judgment unit is configured to determine whether a first preset condition is met based on the first biological signal; The second judgment unit is configured to determine whether the second preset condition is met based on the second biological signal; A trigger prediction unit is configured to determine a prediction trigger time based on the first biosignal and / or the second biosignal in response to determining that both the first preset condition and the second preset condition are met; the trigger prediction unit is configured to perform the following steps: In a cardiac cycle, the optimal trigger time t is determined upon detecting a heartbeat. b1 The prediction; From t b1 Delaying by x milliseconds, the predicted trigger time tc of the target signal is recorded; where x is a preset empirical value, and the selection of this empirical value must satisfy that the actual trigger time of the target signal is after the moment when the pressure of the balloon begins to change; Calculate the predicted trigger time tc and the time t of change in the aorta after the balloon is triggered and applied to the aorta. a1 Target time deviation between: t a1 - tc = t a1 -(t) b1 +x); The trigger determination unit is configured to adjust the predicted trigger time according to the pre-obtained target time deviation to obtain the target trigger time; The signal control unit is configured to trigger the target signal according to the target trigger time.

2. An electronic device, comprising a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor, wherein, The control method for implementing the following target signals when the processor executes the computer program includes: Real-time acquisition of the first and second biological signals of the target object; Based on the first biological signal, determine whether the first preset condition is met; Based on the second biological signal, determine whether the second preset condition is met; In response to determining that both the first preset condition and the second preset condition are met, the predicted trigger time is determined based on the first biological signal and / or the second biological signal; The predicted trigger time is adjusted based on the pre-obtained target time deviation to obtain the target trigger time; Trigger control is performed on the target signal based on the target trigger time; The step of determining the predicted trigger time based on the first biosignal and / or the second biosignal includes: In a cardiac cycle, the optimal trigger time t is determined upon detecting a heartbeat. b1 The prediction; From t b1 Delaying by x milliseconds, the predicted trigger time tc of the target signal is recorded; where x is a preset empirical value, and the selection of this empirical value must satisfy that the actual trigger time of the target signal is after the moment when the pressure of the balloon begins to change; Calculate the predicted trigger time tc and the time t of change in the aorta after the balloon is triggered and applied to the aorta. a1 Target time deviation between: t a1 - tc = t a1 -(t) b1 +x).

3. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When this computer program is executed by a processor, it implements control methods for the following target signals, including: Real-time acquisition of the first and second biological signals of the target object; Based on the first biological signal, determine whether the first preset condition is met; Based on the second biological signal, determine whether the second preset condition is met; In response to determining that both the first preset condition and the second preset condition are met, the predicted trigger time is determined based on the first biological signal and / or the second biological signal; The predicted trigger time is adjusted based on the pre-obtained target time deviation to obtain the target trigger time; Trigger control is performed on the target signal based on the target trigger time; The step of determining the predicted trigger time based on the first biosignal and / or the second biosignal includes: In a cardiac cycle, the optimal trigger time t is determined upon detecting a heartbeat. b1 The prediction; From t b1 Delaying by x milliseconds, the predicted trigger time tc of the target signal is recorded; where x is a preset empirical value, and the selection of this empirical value must satisfy that the actual trigger time of the target signal is after the moment when the pressure of the balloon begins to change; Calculate the predicted trigger time tc and the time t of change in the aorta after the balloon is triggered and applied to the aorta. a1 Target time deviation between: t a1 - tc = t a1 -(t) b1 +x).

Images