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

Abstract

The invention relates to a target signal control method and device, electronic equipment and a storage medium, and relates to the technical field of signal control. The method comprises the following steps: 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 or not according to the first biological signal; determining whether a second preset condition is met or not 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 triggering moment according to the first biological signal and / or the second biological signal; adjusting the predicted triggering moment according to a pre-obtained target time deviation to obtain a target triggering moment; and performing trigger control on the target signal according to the target trigger moment. According to the invention, the method can achieve the precise control of the target signal, and improves the control accuracy of the target signal.

Description

Technical Field

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

[0002] The intra-aortic balloon pump is a special balloon catheter placed in the artery. Through the control of the electronic and gas source system, the balloon is inflated during the diastole period and deflated during the systole period, which increases the diastolic pressure in the aorta and decreases the systolic pressure, thereby increasing the blood supply to the coronary artery and reducing the afterload of the heart. Therefore, it is very important to accurately control the timing of balloon inflation and deflation. Summary of the invention

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

[0004] In a first aspect, an embodiment of the present disclosure provides 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 satisfied based on the first biological signal; determining whether a second preset condition is satisfied based on the second biological signal; in response to determining that both the first preset condition and the second preset condition are satisfied, determining a predicted trigger moment based on the first biological signal and / or the second biological signal; adjusting the predicted trigger moment based on a pre-obtained target time deviation to obtain a target trigger moment; and triggering and controlling the target signal based on the target trigger moment.

[0005] In the second aspect, an embodiment of the present disclosure provides a control device for a target signal, 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 satisfied based on the first biological signal; a second judgment unit, configured to determine whether a second preset condition is satisfied based on the second biological signal; a trigger prediction unit, configured to determine a predicted trigger moment 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 satisfied; a trigger determination unit, configured to adjust the predicted trigger moment based on a pre-obtained target time deviation to obtain a target trigger moment; and a signal control unit, configured to trigger control the target signal based on the target trigger moment.

[0006] In a third aspect, an embodiment of the present disclosure provides 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 processor implements the target signal control method described in the first aspect when executing the computer program.

[0007] In a fourth aspect, an embodiment of the present disclosure provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the target signal control method as described in the first aspect.

[0008] By applying the technical solution disclosed in the present invention, the first biological signal and the second biological signal of the target object can be utilized. When it is determined that the corresponding prediction conditions of the two are met, the predicted trigger moment is combined with the target time deviation to determine the final target trigger moment, thereby achieving precise control of the target signal and improving the accuracy of the target signal control.

[0009] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

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

[0012] Figure 2 A flowchart of an embodiment of a method for controlling a target signal disclosed in the present invention;

[0013] Figure 3 is a flow chart of another embodiment of the target signal control method disclosed in the present invention;

[0014] Figure 4a and Figure 4b It is a schematic diagram of determining the target triggering time by using the aortic pressure signal in the target signal control method disclosed in the present invention;

[0015] Figure 5 A schematic structural diagram of an embodiment of a target signal control device disclosed in the present invention;

[0016] Figure 6 A schematic diagram of the structure of an embodiment of an electronic device disclosed herein. DETAILED DESCRIPTION

[0017] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present disclosure belongs.

[0018] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0019] In the absence of conflict, the embodiments in the present disclosure and the features in the embodiments may be combined with each other.

[0020] In order to make the technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

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

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

[0023] The biosignal acquisition devices 101 and 102 are used to simultaneously acquire biosignals of the target object. It is understandable that the biosignal acquisition devices 101 and 102 are used to acquire different types of biosignals, for example, the biosignal acquisition device 101 is used to acquire electrocardiogram signals, and the biosignal acquisition device 102 is used to acquire blood pressure signals or venous signals, etc.

[0024] The biological signal collecting devices 101 and 102 may send the collected signals to the terminal device 103 in real time. After receiving the above signals, the terminal device 103 may process the above signals to identify the target signals in the above biological signals.

[0025] The terminal device 103 can be hardware or software. When the terminal device 103 is hardware, it can be various electronic devices, including but not limited to tablet computers, laptop computers, desktop computers, etc. When the terminal device 103 is software, it can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules (for example, to provide distributed services), or it can be implemented as a single software or software module. No specific limitation is made here.

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

[0027] It should be noted that the signal processing method provided in the embodiment of the present disclosure 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 biological signal collection devices, terminal devices and databases in the embodiment is only for illustration. According to the implementation requirements, any number of biological signal collection devices, terminal devices and databases may be provided.

[0029] Figure 2 FIG. 2 shows a process 200 of an embodiment of a method for controlling a target signal of the present disclosure. Figure 2 As shown, the target signal control method of this embodiment may include the following steps:

[0030] Step 201 : acquiring a first biological signal and a second biological signal of a target object in real time.

[0031] In this embodiment, the execution subject of the target signal control method (for example Figure 1 The terminal device 103 shown in the figure can acquire the first biological signal and the second biological signal of the target object in real time. Here, the target object can be a human or an animal body. The types of the first biological signal and the second biological signal are different, and they are obtained by simultaneously and continuously collecting the target object through 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 signal can also include an electrocardiogram signal or a venous signal. The first biological signal can be collected by a pressure sensor arranged in the left ventricle, and the second biological signal can be collected by a pressure sensor arranged in the aorta connected to the left ventricle.

[0032] Step 202: Determine whether a first preset condition is satisfied 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, the first biological signal can be feature extracted, and if a certain feature point is detected, it is considered that the first preset condition is met. Alternatively, the period of the first biological signal can be monitored, and if the period is within a preset range, it is considered that the first preset condition is met. Alternatively, the first biological signal can be similarly calculated with a preset template, and if the similarity is greater than a preset threshold, it is considered that the first preset condition is met.

[0034] Step 203: Determine whether a second preset condition is satisfied according to the second biological signal.

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

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

[0037] Step 204 , in response to determining that both the first preset condition and the second preset condition are satisfied, determining a predicted triggering moment according to the first biosignal and / or the second biosignal.

[0038] In this embodiment, after the execution subject determines that the first preset condition and the second preset condition are satisfied, the predicted trigger moment can be determined according to the first biological signal and / or the second biological signal. Specifically, the first biological signal and / or the second biological signal can be processed using an existing signal processing algorithm to determine the predicted trigger moment. For example, if the first biological signal is an electrocardiogram signal, then the feature extraction of the electrocardiogram signal can be performed to determine the setback point. According to the moment of the setback point, the predicted trigger moment is determined. Alternatively, if the second biological signal is an aortic pressure signal, then the feature extraction of the aortic pressure signal can be performed to determine the inflection point. The moment of the inflection point is used as the predicted trigger moment.

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

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

[0041] Step 206: trigger control of the target signal according to the target trigger time.

[0042] After obtaining the target triggering time, the target signal can be triggered and controlled according to the target triggering time so that the target signal acts on the target object. Specifically, a countdown can be performed before the target triggering time arrives, and when the countdown ends, the target signal is controlled to be triggered. Here, the target signal can be an inflation signal or a abandonment signal of the aortic balloon.

[0043] The target signal control method provided by the above-mentioned embodiments of the present disclosure can utilize the first biological signal and the second biological signal of the target object. When it is determined that the corresponding prediction conditions of the two are met, the predicted trigger moment is combined with the target time deviation to determine the final target trigger moment, thereby realizing precise control of the target signal and improving the accuracy of the target signal control.

[0044] Continue to see Figure 3 , which shows a process 300 of another embodiment of the target signal control method according to the present disclosure. Figure 3 As shown, the method in this embodiment may include the following steps:

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

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

[0047] In some optional implementations of this embodiment, feature extraction is performed on the first biological signal 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 a first preset threshold corresponding to the first biological signal, it is determined that the first preset condition is met.

[0048] In this implementation, feature extraction can be performed on 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 that is a preset time away from the extreme point, or an inflection point. Taking the first biological signal as a 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 the corresponding first preset threshold. If the amplitude of the first feature point is greater than or equal to the first preset threshold, it is considered that the first preset condition is met.

[0049] Step 303: Determine whether a second preset condition is satisfied according to the second biological signal.

[0050] In some optional implementations of this embodiment, feature extraction is performed on the second biological signal 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 a second preset threshold corresponding to the second biological signal, it is determined that the second preset condition is met.

[0051] In this implementation, feature extraction can be performed on the second biological signal to determine the amplitude of the second feature point. Here, feature extraction can utilize an existing feature extraction algorithm, such as a convolutional neural network. The second feature point can be an extreme point, a feature point that is a preset time away from the extreme point, or an inflection point. Taking the second biological signal as an 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 the corresponding second preset threshold. If the amplitude of the second feature point is greater than or equal to the second preset threshold, it is considered that the second preset condition is met.

[0052] In some optional implementations of this embodiment, a 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, it is determined that the second preset condition is 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 the two. 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, it is considered that the second preset condition is met.

[0054] Step 304 , in response to determining that both the first preset condition and the second preset condition are satisfied, determining a predicted triggering moment according to the first biosignal and / or the second biosignal.

[0055] In some optional implementations of this embodiment, a third characteristic point is determined based on the first biological signal; and a predicted triggering moment is determined based on a preset duration and the third characteristic point.

[0056] In this implementation, after determining that both the first preset condition and the second preset condition are satisfied, the predicted trigger moment can be determined based on the first biological signal. Specifically, the first biological signal can be firstly feature extracted to determine the third feature point. Here, the third feature point can be the same as the first feature point or different. 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 third feature point is combined with the preset time length to obtain the predicted trigger moment. Here, the preset time length can be obtained by statistics based on the historical first biological signal of the target object. The preset time length can be the time length between the third feature point and the target feature point in the historical first biological signal. The target feature point can be identified as the point at which the heart of the target object begins to eject blood, or it can be identified as the point at which the heart valve of the target object closes. Specifically, the moment at which the third feature point is located can be added to the preset time length, and the obtained moment can be used as the predicted trigger moment.

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

[0058] In this implementation, after determining that both the first preset condition and the second preset condition are satisfied, the predicted triggering moment can be determined based on the second biological signal. Specifically, the second biological signal can be firstly feature extracted to determine the fourth feature point. Here, the fourth feature point can be the same as the second feature point or different. For example, the second feature point can be an extreme point, and the fourth feature point can be an inflection point in the second biological signal. After determining the fourth feature point, the predicted triggering moment can be determined in combination with the period of the second biological signal. Here, the period of the second biological signal can be calculated based on statistics of the historical second biological signal. The fourth feature point can be identified as the optimal point for triggering the target signal. Taking the second biological signal as the aortic pressure signal as an example, the fourth feature point can be the inflection point after the 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 moment; and the predicted trigger moment is determined based on the characteristic moment.

[0060] In this implementation, after determining that both the first preset condition and the second preset condition are satisfied, the predicted trigger moment can be determined based on the first biological signal and the second biological signal. Specifically, the first biological signal and the second biological signal can be preprocessed to determine the characteristic moment. The characteristic moment here can be a moment with a certain characteristic. For example, it can be the moment when the left ventricle contracts, or it can be the moment when the valve connected to the left ventricle closes, or it can be the moment when the aortic pressure drops, and so on. After determining the above-mentioned characteristic moments, the above-mentioned characteristic moments can be directly used as the predicted trigger moment, or the predicted trigger moment can be further combined with a preset time delay to obtain the predicted trigger moment.

[0061] Step 305, before triggering the target signal for the first time, determine the initial target triggering moment according to the predicted triggering moment and the preset time delay; and trigger the target signal for the first time according to the initial target triggering moment.

[0062] After determining the predicted trigger moment, the initial target trigger moment can be determined based on the predicted trigger moment and the preset time delay before the target signal is triggered for the first time. The time delay here can be set according to the actual scenario, but it needs to be smaller than the period of the first biosignal and the second biosignal. And it is necessary to ensure that the best time to trigger the target signal must appear before the time point obtained by adding the predicted departure moment to the initial time delay. Here, the appearance moment of a certain characteristic point in the first biosignal or the appearance moment of a certain characteristic point in the second biosignal is considered to be the best time to trigger the target signal.

[0063] In this embodiment, the predicted triggering time can be added to the preset time delay, and the obtained time point is the initial target triggering time. After the initial target triggering time is determined, the target signal can be triggered for the first time at the initial target departure time.

[0064] Step 306, after the target signal is triggered for the first time, determine the optimal triggering moment of the target signal according to the first biosignal and / or the second biosignal; determine the target time deviation according to the optimal triggering moment and the initial target triggering moment.

[0065] After the target signal is triggered for the first time, the optimal triggering moment of the target signal can be determined based on the first biosignal and / or the second biosignal. Here, the appearance moment of a certain characteristic point in the first biosignal or the appearance moment of a certain characteristic point in the second biosignal can be used as the optimal triggering moment of the target signal. Then, the time difference between the optimal triggering moment and the initial target triggering moment can be calculated, and the time difference can be used as the target time deviation.

[0066] In some optional implementations of this embodiment, feature extraction may be performed on the second biological signal to determine a target feature point in the second biological signal; and the moment of appearance of the target feature point is used as the optimal triggering moment.

[0067] In this implementation, the second biological signal may be feature extracted to determine a target feature point in the second biological signal. Here, the target feature point may be a feature point that indicates that the heart of the target object is in a state of complete blood ejection. The appearance time of the target feature point may be used as the optimal triggering time.

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

[0069] Step 308: trigger control of the target signal according to the target trigger time.

[0070] The feature extraction mentioned in the above embodiments of the present disclosure may be implemented in a variety of ways, for example, by at least one of performing a first-order difference on the first biological signal or the second biological signal, extracting an absolute value, calculating a sine value, and the like.

[0071] Continue to see Figure 4a and Figure 4b, which shows a schematic diagram of determining the target triggering moment in a specific application scenario of the target signal control method disclosed in the present invention. In this application scenario, the left ventricular pressure signal is collected by a pressure sensor arranged in the left ventricle of the heart of the target object, and the aortic pressure signal is collected by a pressure sensor arranged in the aorta of the target object. The moment of cardiac ejection can be monitored by the left ventricular pressure signal, and whether cardiac ejection is completed can be determined by the aortic pressure signal.

[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 aortic balloon pump (IABP). During the period from inflation to deflation of the aortic balloon pump, the balloon is in a filled state, and the aortic balloon pump performs counterpulsation on the heart during this period.

[0073] Before the aortic balloon pump is triggered to inflate, the pressure sensor set in the aorta of the target object continuously collects data to obtain the aortic pressure signal. Figure 4a As shown in Figure 2, when the heart is not pumping blood, the aortic pressure increases and then decreases. Figure 4a The middle circle indicates the position), which is the optimal inflation time of the aortic balloon pump, that is, the optimal triggering time of the target signal t b However, the above curve is generated in real time based on the acquired data. When the balloon is inflated for the first time, if the trigger is performed when the curve shows an inflection point, the pressure control of the balloon will be delayed and the counterpulsation effect will be poor. To solve this problem, the method used is: in a cardiac cycle, after the heartbeat is detected, the best triggering time is predicted first, recorded as time t b1 After the balloon is triggered and acts on the aorta, the change time ta1 of the aorta may be at the best predicted time t b1 Before or after. If ta1 is located at t b1 Before t1, the inflection point of the aortic pressure signal curve will be submerged, that is, it cannot be displayed, and thus accurate assistance cannot be performed. b1 Afterwards, the predicted triggering time of the target signal is set from t b1 Delay backward 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 moment 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 triggering time tc and the change time ta1 of the aorta after the balloon is triggered and acts on the aorta: t a1 -tc=t a1 -(tb1+x)(e.g. Figure 4bThe time deviation is the target time deviation.

[0075] When the balloon is inflated next time and thereafter, the calculated predicted trigger moment can be moved forward by the target time deviation to obtain the optimal trigger moment. The time deviation can be considered as the time difference between the moment t0 when the control system issues a trigger command to the aortic balloon pump and the moment t1 when the pressure of the balloon begins to change. Since the trigger command issued by the control system to the aortic balloon pump is advanced, the pressure of the balloon can be changed just at the optimal trigger moment, thereby achieving precise control of the timing of counterpulsation.

[0076] The target signal control method provided by the above-mentioned embodiments of the present disclosure can utilize the first biological signal and the second biological signal of the target object. When it is determined that the corresponding prediction conditions of the two are met, the predicted trigger moment is combined with the target time deviation to determine the final target trigger moment, thereby realizing precise control of the target signal and improving the accuracy of the target signal control.

[0077] Further references Figure 5 As an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of a control device for a target signal. Figure 2 Corresponding to the method embodiment shown, the 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 a first biological signal and a second biological signal of a target object in real time.

[0080] The first determination unit 502 is configured to determine whether a first preset condition is satisfied according to the first biological signal.

[0081] The second judgment unit 503 is configured to determine whether a second preset condition is satisfied according to the second biological signal.

[0082] The trigger prediction unit 504 is configured to determine a predicted trigger moment according to the first biosignal and / or the second biosignal in response to determining that both the first preset condition and the second preset condition are satisfied.

[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 perform trigger control on the target signal according to the target trigger moment.

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

[0086] Figure 6 A schematic structural diagram of an electronic device provided by an 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, wherein the processor 601 and the memory 602 communicate with each other through the bus 603. When the processor 601 executes the computer program, the steps of implementing the above method include, 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 satisfied according to the first biological signal; determining whether a second preset condition is satisfied according to the second biological signal; in response to determining that both the first preset condition and the second preset condition are satisfied, determining a predicted triggering moment according to the first biological signal and / or the second biological signal; adjusting the predicted triggering moment according to the pre-obtained target time deviation to obtain a target triggering moment; and triggering and controlling the target signal according to the target triggering moment.

[0088] In addition, in one embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented, for example, including: 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 the second preset condition is met based on the second biological signal; in response to determining that both the first preset condition and the second preset condition are met, determining a predicted trigger moment based on the first biological signal and / or the second biological signal; adjusting the predicted trigger moment based on the pre-obtained target time deviation to obtain a target trigger moment; and triggering and controlling the target signal based on the target trigger moment.

[0089] In summary, in the technical solution of the present disclosure, the predicted triggering moment can be added to the preset initial time delay, and the obtained time point is the initial target triggering moment. After determining the initial target triggering moment, the target signal can be triggered for the first time at the initial target departure moment.

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

Claims

1. A method for controlling a target signal, comprising: Acquire a first biological signal and a second biological signal of a target object in real time; determining, according to the first biological signal, whether a first preset condition is met; determining, according to the second biological signal, whether a second preset condition is satisfied; In response to determining that both the first preset condition and the second preset condition are satisfied, determining a predicted triggering moment according to the first biosignal and / or the second biosignal; Adjusting the predicted triggering moment according to the pre-obtained target time deviation to obtain the target triggering moment; According to the target triggering moment, the target signal is triggered and controlled.

2. The method according to claim 1, wherein: The method further comprises: Before triggering the target signal for the first time, determining an initial target triggering moment based on the predicted triggering moment and a preset time delay; According to the initial target triggering time, the target signal is triggered for the first time.

3. The method according to claim 2, wherein: The method comprises: In response to the target signal being triggered for the first time, determining an optimal triggering moment of the target signal according to the first biosignal and / or the second biosignal; The target time deviation is determined according to the optimal triggering time and the initial target triggering time.

4. The method according to claim 3, wherein: The determining the optimal triggering moment of the target signal according to the first biological signal and / or the second biological signal includes: performing feature extraction on the second biological signal to determine target feature points in the second biological signal; The appearance moment of the target feature point is used as the optimal triggering moment.

5. The method according to claim 1, wherein: The step of determining whether a first preset condition is satisfied according to the first biological signal includes: Extracting features from the first biological signal to determine the amplitude of a first feature point; In response to determining that the amplitude of the first feature point is greater than or equal to a first preset threshold corresponding to the first biosignal, it is determined that a first preset condition is satisfied.

6. The method according to claim 5, wherein: The step of determining whether a second preset condition is satisfied according to the second biological signal includes: Extracting features from the second biological signal to determine the amplitude of a second feature point; In response to determining that the amplitude of the second feature point is greater than or equal to a second preset threshold corresponding to the second bio-signal, it is determined that the second preset condition is satisfied.

7. The method according to claim 6, wherein: The step of determining whether a second preset condition is satisfied according to the second biological signal includes: Determine a difference according to 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, it is determined that the second preset condition is satisfied.

8. 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 determination unit, configured to determine whether a first preset condition is satisfied according to the first bio-signal; a second determination unit, configured to determine whether a second preset condition is satisfied according to the second bio-signal; a trigger prediction unit, configured to determine a predicted trigger moment according to the first biosignal and / or the second biosignal in response to determining that both the first preset condition and the second preset condition are satisfied; a trigger determination unit, configured to adjust the predicted trigger moment according to a pre-obtained target time deviation to obtain a target trigger moment; The signal control unit is configured to perform trigger control on the target signal according to the target trigger moment.

9. An electronic device comprising a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the target signal control method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the target signal control method according to any one of claims 1 to 7 is implemented.

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