Thrombus detection system and device of ventricular auxiliary equipment

Abstract

The embodiment of the invention provides a thrombus detection system and device of ventricular assist equipment, and relates to the technical field of medical instruments.The system comprises thrombus detection equipment and the ventricular assist equipment, and the ventricular assist equipment is implanted into the heart of a patient in a percutaneous intervention mode and assists the heart of the patient in blood pumping. The thrombus detection device is used for detecting whether thrombus adheres to the ventricular auxiliary device or not, and the thrombus detection method is executed when the thrombus detection device detects thrombus adherence and comprises the steps that a back electromotive force fluctuation time sequence signal representing motor back electromotive force fluctuation information in the operation process of the ventricular auxiliary device is obtained, and target detection parameters are determined; and based on the back electromotive force fluctuation time sequence signal, determining a target detection result representing whether thrombus adheres to the ventricular assist device or not by adopting the target detection parameter. By applying the scheme provided by the embodiment, the thrombus attachment condition can be detected in real time.

Description

Technical Field

[0001] This application relates to the technical field of medical devices, and particularly to a thrombus detection system and device for a ventricular assist device. Background Art

[0002] A ventricular assist device is a device that provides support or assistance functions for patients with heart-related diseases, such as heart failure patients, and is used to assist the heart in pumping blood to other parts of the body. When the ventricular assist device operates in the heart, thrombus attachment is likely to occur, hindering the normal operation of the ventricular assist device and affecting the life, health and safety of patients. Therefore, real-time detection of thrombus during the operation of the ventricular assist device has become an urgent problem to be solved. Summary of the Invention

[0003] The purpose of the embodiments of this application is to provide a thrombus detection system and device for a ventricular assist device to achieve real-time detection of thrombus attachment. The specific technical solutions are as follows: In a first aspect, the embodiments of this application provide a thrombus detection system for a ventricular assist device. The system includes a thrombus detection device and a ventricular assist device. The ventricular assist device is implanted into the patient's heart through a percutaneous intervention method to assist the patient's heart in pumping blood. The thrombus detection device is used to detect whether there is thrombus attachment on the ventricular assist device. When the thrombus detection device detects thrombus attachment, the following thrombus detection method is executed: Obtain an electromotive force fluctuation time series signal representing the electromotive force fluctuation information during the operation of the ventricular assist device, and determine a target detection parameter; Based on the electromotive force fluctuation time series signal, use the target detection parameter to determine a target detection result representing whether there is thrombus attachment on the ventricular assist device.

[0004] In an embodiment of this application, the above target detection parameter includes a first detection threshold and a second detection threshold. Among them, the first detection threshold represents the minimum value for determining thrombus attachment, and the second detection threshold represents the maximum value for determining no thrombus attachment. The first detection threshold is greater than the second detection threshold.

[0005] In an embodiment of this application, the determination of the target detection parameter includes: Obtain a reference detection parameter, and determine a current fluctuation value representing the actual current fluctuation information during the operation of the ventricular assist device; Based on the current fluctuation value, calculate a first compensation ratio of the reference detection parameter; Adjust the reference detection parameter according to the first compensation ratio, and determine the adjusted reference detection parameter as the target detection parameter.

[0006] In one embodiment of the present application, before adjusting the reference detection parameter according to the first compensation ratio, the following steps are further included: Determine the pressure fluctuation value characterizing the aortic pressure fluctuation information during the operation of the ventricular assist device; Calculate the second compensation ratio of the reference detection parameter based on the pressure fluctuation value; Adjusting the reference detection parameter according to the first compensation ratio includes: Adjust the reference detection parameter based on the first compensation ratio and the second compensation ratio.

[0007] In one embodiment of the present application, the above-mentioned determining the target detection result indicating whether there is thrombus attachment on the ventricular assist device based on the back electromotive force fluctuation time series signal and using the target detection parameter includes: Determine the detection time window, and determine the detection signal segment of the back electromotive force fluctuation time series signal according to the detection time window; For each detection signal segment, use the target detection parameter to determine the target detection result indicating whether there is thrombus attachment on the ventricular assist device.

[0008] In one embodiment of the present application, the above-mentioned determining the detection time window includes: Obtain the average unit duration of the patient's cardiac cycle; Determine the duration range less than the average unit duration as the detection time window.

[0009] In a second aspect, an embodiment of the present application provides a thrombus detection device for a ventricular assist device, and the device includes: A data acquisition module, configured to acquire a back electromotive force fluctuation time series signal characterizing the back electromotive force fluctuation information during the operation of the ventricular assist device, and determine a target detection parameter; A thrombus detection module, configured to determine a target detection result indicating whether there is thrombus attachment on the ventricular assist device based on the back electromotive force fluctuation time series signal and using the target detection parameter.

[0010] In one embodiment of the present application, the above-mentioned target detection parameter includes a first detection threshold and a second detection threshold, where the first detection threshold represents the minimum value for determining thrombus attachment, the second detection threshold represents the maximum value for determining no thrombus attachment, and the first detection threshold is greater than the second detection threshold.

[0011] In one embodiment of the present application, the above-mentioned data acquisition module includes: A first data acquisition sub-module, configured to acquire a reference detection parameter and determine the current fluctuation value characterizing the actual current fluctuation information during the operation of the ventricular assist device; A first ratio calculation sub-module, configured to calculate a first compensation ratio of the reference detection parameter based on the current fluctuation value; A data adjustment sub-module, configured to adjust the reference detection parameter according to the first compensation ratio, and determine the adjusted reference detection parameter as the target detection parameter.

[0012] In an embodiment of the present application, the above data acquisition module further includes: A second data acquisition sub-module, configured to determine a pressure fluctuation value representing aortic pressure fluctuation information during the operation of the ventricular assist device before the first ratio calculation sub-module; A second ratio calculation sub-module, configured to calculate a second compensation ratio of the reference detection parameter based on the pressure fluctuation value; The data adjustment sub-module is specifically configured to adjust the reference detection parameter based on the first compensation ratio and the second compensation ratio.

[0013] In an embodiment of the present application, the above thrombus detection module includes: A data determination sub-module, configured to determine a detection time window, and determine a detection signal segment of the back electromotive force fluctuation timing signal according to the detection time window; A thrombus detection sub-module, configured to use the target detection parameter for each detection signal segment to determine a target detection result representing whether there is thrombus attachment on the ventricular assist device.

[0014] In an embodiment of the present application, the above data determination sub-module is specifically configured to obtain an average unit duration of the patient's cardiac cycle; determine a duration range less than the average unit duration as the detection time window.

[0015] In a third aspect, an embodiment of the present application provides an electronic medical device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus; The memory is used for storing a computer program; The processor, when executing the program stored on the memory, implements the thrombus detection method described in the first aspect above.

[0016] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the thrombus detection method described in the first aspect above is implemented.

[0017] As can be seen from the above, by applying the solution provided in the embodiments of the present application, based on the back electromotive force fluctuation timing signal and using the target detection parameters, it is determined whether there is thrombus attachment on the ventricular assist device. Since the back electromotive force fluctuation timing signal can accurately reflect the current real-time operation information of the ventricular assist device, using the back electromotive force fluctuation timing signal for thrombus attachment detection fully considers the current real-time operation information of the ventricular assist device, thereby achieving high-precision real-time detection of thrombus attachment.

[0018] Of course, it is not necessary for any product or method implementing the present application to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application, and those of ordinary skill in the art can also obtain other embodiments based on these drawings.

[0020] Figure 1a Schematic structural diagram of the first thrombus detection system provided by the embodiments of the present application; Figure 1b Schematic structural diagram of a left ventricular assist device provided by the embodiments of the present application; Figure 2 Schematic flowchart of the first thrombus detection method provided by the embodiments of the present application; Figure 3 Schematic flowchart of the second thrombus detection method provided by the embodiments of the present application; Figure 4 Schematic flowchart of the third thrombus detection method provided by the embodiments of the present application; Figure 5 Schematic flowchart of the fourth thrombus detection method provided by the embodiments of the present application; Figure 6 Schematic structural diagram of the second thrombus detection system provided by the embodiments of the present application; Figure 7 Schematic structural diagram of a thrombus detection device provided by the embodiments of the present application; Figure 8 Schematic structural diagram of an electronic medical device provided by the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art based on the present application belong to the scope of protection of the present application.

[0022] Before introducing the embodiments of the present application, first, in conjunction with Figure 1a , the thrombus detection system of the embodiments of the present application will be described.

[0023] The thrombus detection system includes a thrombus detection device 11 and a ventricular assist device 12. Among them, the ventricular assist device 12 operates in the patient's heart to assist the patient's heart in pumping blood; the thrombus detection device 11 is used to detect whether there is thrombus attachment on the ventricular assist device 12.

[0024] Since the ventricular assist device operates in the heart and is in long-term contact with blood, it is easy to cause platelet adhesion and microthrombus formation, which affects the operation efficiency of the ventricular assist device and may cause complications such as hemolysis and thrombus detachment. Therefore, it is urgent to detect in real time whether there is thrombus attachment on the ventricular assist device.

[0025] The above-mentioned ventricular assist device can be a left ventricular assist device or a right ventricular assist device. Taking the left ventricular assist device as an example, the above-mentioned ventricular assist device will be described. See Figure 1b , Figure 1b shows a schematic structural diagram of the left ventricular assist device.

[0026] Figure 1b The shown ventricular assist device is a left ventricular catheter pump, and the left ventricular catheter pump is used to cross the aortic valve and pump the blood in the left ventricle into the aorta to assist the heart in pumping blood. Of course, in addition to the left ventricular catheter pump, the ventricular catheter pump of the present application can also be a right ventricular catheter pump, a biventricular catheter pump, etc., which are not limited thereto.

[0027] The left ventricular catheter pump includes a motor 101, an impeller 102, a bleeding port 103, and a blood inlet 104. The high-speed rotation of the motor 101 drives the impeller 102 to rotate, generating suction to pump the blood from the blood inlet 104 into the bleeding port 103. The blood inlet 104 is located in the patient's left ventricle, and the bleeding port 103 is located in the patient's aorta, realizing assisting the patient's heart in pumping blood.

[0028] The following describes the thrombus detection scheme adopted by the thrombus detection device when detecting thrombus.

[0029] See Figure 2 , Figure 2 is a schematic flow chart of the first thrombus detection method provided by the embodiments of the present application. The above method includes the following steps S201-S203.

[0030] Step S201: Obtain an electromotive force fluctuation time series signal characterizing the electromotive force fluctuation information during the operation of the ventricular assist device, and determine target detection parameters.

[0031] The electromotive force fluctuation time series signal characterizes the electromotive force fluctuation time series information. Each signal point in the electromotive force fluctuation time series signal is the fluctuation value of the electromotive force.

[0032] The above-mentioned electromotive force fluctuation time series signal can be generated in the following manner: Using any one of the electromotive force detection methods in the prior art, obtain the electromotive force corresponding to each moment, calculate the derivative of each electromotive force, and use it as the fluctuation value of each signal point in the fluctuation time series signal. Combine the fluctuation values of each signal point in chronological order to form an electromotive force fluctuation time series signal.

[0033] The above-mentioned target detection parameters are detection parameters for detecting whether a thrombus is attached. In an embodiment of the present application, the above-mentioned target detection parameters include a first detection threshold and a second detection threshold. Among them, the first detection threshold represents the minimum value for determining thrombus attachment, and the second detection threshold represents the maximum value for determining no thrombus attachment. The first detection threshold is greater than the second detection threshold.

[0034] The above-mentioned target detection parameters can be determined in advance. For example, in a simulated simulation test environment, they are obtained by simulating a large amount of experimental data.

[0035] The above-mentioned target detection parameters can also be determined in real time dynamically. For the implementation method of dynamically determining the target detection parameters, reference can be made to the subsequent Figure 3 corresponding embodiments, which will not be elaborated here.

[0036] Step S202: Based on the electromotive force fluctuation time series signal, use the target detection parameters to determine a target detection result indicating whether there is thrombus attachment in the ventricular assist device.

[0037] Taking the first detection threshold and the second detection threshold as the target detection parameters as an example, the above detection process is described. When the average amplitude of the signals in the electromotive force fluctuation time series signal reaches the above-mentioned first detection threshold, it is determined that there is thrombus attachment in the ventricular assist device; when the average amplitude of the signals in the electromotive force fluctuation time series signal is less than the above-mentioned second detection threshold, it is determined that there is no thrombus attachment in the ventricular assist device.

[0038] As can be seen from the above, by applying the solution provided in this embodiment, based on the back electromotive force fluctuation time series signal and using the target detection parameter, it is determined whether there is thrombus attachment on the ventricular assist device. Since the back electromotive force fluctuation time series signal can accurately reflect the current real-time operation information of the ventricular assist device, using the back electromotive force fluctuation time series signal for thrombus attachment detection fully considers the current real-time operation information of the ventricular assist device, thereby realizing high-precision real-time detection of thrombus attachment.

[0039] The foregoing Figure 2 In the corresponding embodiment mentioned above, in addition to determining the preset fixed parameter as the target detection parameter, the target detection parameter can also be determined dynamically in real time. The implementation manner of dynamically determining the target detection parameter can refer to the following steps S302 - S304.

[0040] Based on this, referring to Figure 3 , Figure 3 is a schematic flowchart of the second thrombus detection method provided by the embodiment of the present application. The above method includes the following steps S301 - S305.

[0041] Step S301: Obtain the back electromotive force fluctuation time series signal characterizing the back electromotive force fluctuation information during the operation of the ventricular assist device.

[0042] The above step S301 is the same as the foregoing step S201 and will not be elaborated here.

[0043] Step S302: Obtain the reference detection parameter and determine the current fluctuation value characterizing the actual current fluctuation information during the operation of the ventricular assist device.

[0044] The above reference detection parameter can be determined in advance, such as being comprehensively calculated using a large amount of clinical experimental data.

[0045] The above current fluctuation value reflects the actual fluctuation state information of the current. When the current fluctuation value is larger, it indicates that the current fluctuation is larger at present. When the current fluctuation value is smaller, it indicates that the current fluctuation is relatively stable at present.

[0046] One implementation manner of determining the current fluctuation value is: obtain the current time series signal, determine the peak value and the mean value of the current time series signal, calculate the deviation between the peak value and the mean value, and then calculate the ratio between the deviation and the mean value as the current fluctuation value.

[0047] Step S303: Calculate the first compensation ratio of the reference detection parameter based on the current fluctuation value.

[0048] The first implementation manner of calculating the first compensation ratio is: calculate the product of the current fluctuation value and the preset current compensation coefficient, and determine the above product as the first compensation ratio.

[0049] The second implementation manner of calculating the first compensation ratio is as follows: Predetermine the corresponding relationship between each preset current fluctuation value and the compensation ratio, and determine the compensation ratio corresponding to the aforementioned current fluctuation value according to the corresponding relationship as the first compensation ratio.

[0050] Step S304: Adjust the reference detection parameter according to the first compensation ratio, and determine the adjusted reference detection parameter as the target detection parameter.

[0051] One implementation manner of adjusting the reference detection parameter is as follows: Calculate the product of the reference detection parameter and the first compensation ratio as the first adjustment value, and calculate the sum value between the first adjustment value and the reference detection parameter to achieve the adjustment of the reference detection parameter.

[0052] Step S305: Based on the back electromotive force fluctuation timing signal, use the target detection parameter to determine the target detection result indicating whether there is thrombus attachment in the ventricular assist device.

[0053] The above step S305 is the same as the previous step S202 and will not be elaborated here.

[0054] As can be seen from the above, since the target detection parameter is determined in real time based on the current fluctuation value representing the actual current fluctuation information, and since the current fluctuation value reflects the current operating state of the ventricular assist device from the current perspective, the determined target detection parameter fully considers the operating information of the ventricular assist device and can better fit the current operating condition. In this way, by using the above target detection parameter, it is possible to more accurately detect whether there is thrombus attachment.

[0055] In the foregoing Figure 3 Before the corresponding step S304 of the embodiment, the following steps S404 - S405 may further be included. Based on this, refer to Figure 4 , Figure 4 is a schematic flowchart of a third thrombus detection method provided by an embodiment of the present application. The above method includes the following steps S401 - S407.

[0056] Step S401: Obtain a back electromotive force fluctuation timing signal representing the back electromotive force fluctuation information during the operation of the ventricular assist device.

[0057] Step S402: Obtain a reference detection parameter and determine a current fluctuation value representing the actual current fluctuation information during the operation of the ventricular assist device.

[0058] Step S403: Calculate the first compensation ratio of the reference detection parameter based on the current fluctuation value.

[0059] The above steps S401 - S403 are the same as the previous steps S301 - S303 and will not be elaborated here.

[0060] Step S404: Determine the pressure fluctuation value that characterizes the aortic pressure fluctuation information during the operation of the ventricular assist device.

[0061] The above pressure fluctuation value reflects the actual aortic pressure fluctuation information. When the pressure fluctuation value is larger, it indicates that the current aortic pressure fluctuation is relatively large. When the pressure fluctuation value is smaller, it indicates that the current aortic pressure fluctuation is relatively stable.

[0062] One implementation of determining the pressure fluctuation value is: calculate the patient's current mean arterial pressure, calculate the ratio between the mean arterial pressure and the reference arterial pressure, and use this ratio as the pressure fluctuation value.

[0063] Step S405: Based on the pressure fluctuation value, calculate the second compensation ratio of the reference detection parameter.

[0064] The first implementation of calculating the second compensation ratio is: calculate the product of the pressure fluctuation value and the preset pressure compensation coefficient, and determine the above product as the second compensation ratio.

[0065] The second implementation of calculating the second compensation ratio is: pre-determine the corresponding relationship between each preset pressure fluctuation value and the compensation ratio. According to the above corresponding relationship, determine the compensation ratio corresponding to the aforementioned pressure fluctuation value as the second compensation ratio.

[0066] Step S406: Based on the first compensation ratio and the second compensation ratio, adjust the reference detection parameter, and determine the adjusted reference detection parameter as the target detection parameter.

[0067] One implementation of adjusting the reference detection parameter is: calculate the sum value between the first compensation ratio and the second compensation ratio, calculate the product of the above sum value and the reference detection parameter as the second adjustment value, and calculate the sum value between the second adjustment value and the reference detection parameter to achieve the adjustment of the reference detection parameter.

[0068] Step S407: Based on the back electromotive force fluctuation timing signal, use the target detection parameter to determine the target detection result that characterizes whether there is thrombus attachment in the ventricular assist device.

[0069] The above step S407 is the same as the previous step S305, and will not be elaborated here.

[0070] As can be seen from the above, since the target detection parameters are determined in real time based on the current fluctuation value representing the actual current fluctuation information and the pressure fluctuation value representing the aortic pressure fluctuation information, and since the current fluctuation value reflects the current operating state of the ventricular assist device while the pressure fluctuation value reflects the current physiological state of the patient, the target detection parameters determined by these two types of data fully consider the current overall real-time situation, including the real-time information of the ventricular assist device and the patient, and can further match the current overall operating state. In this way, by using the above target detection parameters, the situation of whether a thrombus is attached can be detected more accurately.

[0071] The foregoing Figure 2 In the corresponding embodiment, in addition to the implementation methods mentioned, step S202 may also determine the target detection result according to the following steps S502-S503. Based on this, see Figure 5 , Figure 5 is a schematic flowchart of a fourth thrombus detection method provided by an embodiment of the present application.

[0072] Step S501: Obtain the back electromotive force fluctuation time series signal representing the back electromotive force fluctuation information during the operation of the ventricular assist device, and determine the target detection parameters.

[0073] The above step S501 is the same as the foregoing step S201 and will not be elaborated here.

[0074] Step S502: Determine the detection time window, and determine the detection signal segment of the back electromotive force fluctuation time series signal according to the detection time window.

[0075] The detection time window represents the signal detection duration range.

[0076] The above detection time window can be preset. Based on this, the preset time window is determined as the detection time window.

[0077] The above detection time window can also be determined in real time. Based on this, an implementation method for determining the detection time window is: obtain the average unit duration of the patient's cardiac cycle; determine the duration range less than the average unit duration as the detection time window.

[0078] Since the detection time window is less than the average unit duration, the detection signal segments corresponding to the detection time window are probably all signals corresponding to the same cardiac cycle, thus avoiding the interference of the patient's heartbeat on the back electromotive force and improving the detection accuracy.

[0079] The above detection signal segment is divided according to the detection time window. The above detection signal segment includes multiple signal segments, and there may or may not be an intersection between each signal segment.

[0080] One implementation of determining the detection signal segment is: determining the signal segment with the signal duration range within the detection time window in the back electromotive force fluctuation timing signal as the detection signal segment.

[0081] Step S503: For each detection signal segment, use the target detection parameter to determine the target detection result indicating whether there is thrombus attachment on the ventricular assist device.

[0082] One implementation of determining the target detection result is: for each detection signal segment, use the target detection parameter to obtain the detection result corresponding to each detection signal segment, and comprehensively determine the final target detection result based on all the obtained detection results. For example, if the number of detection results indicating thrombus attachment is higher than the number of detection results indicating no thrombus attachment, then it can be determined that the target detection result is that there is thrombus attachment on the ventricular assist device; and vice versa.

[0083] As can be seen from the above, by dividing multiple detection signal segments according to the detection time window and comprehensively determining the target detection result using the detection results of each detection signal segment, the situation of whether there is thrombus attachment can be detected more accurately, thereby improving the detection accuracy of thrombus attachment.

[0084] In the thrombus detection system provided by the embodiments of the present application, in addition to including the thrombus detection device and the ventricular assist device, a control device may also be included. As Figure 6 shown. Figure 6 FIG. is a schematic structural diagram of a second thrombus detection system provided by the embodiments of the present application.

[0085] The ventricular assist device 602 operates in the patient's heart and is used to assist the patient's heart in pumping blood.

[0086] The thrombus detection device 601 detects whether there is thrombus attachment on the ventricular assist device 602, and when it detects that there is thrombus attachment, sends the thrombus detection result to the control device 603.

[0087] The control device 603, when receiving the result indicating that there is thrombus attachment on the ventricular assist device, triggers the perturbation control mode to enable the ventricular assist device 602 to perform periodic swinging operation to break the thrombus attachment surface, reduce thrombus attachment, and improve the operating safety of the ventricular assist device 602.

[0088] The control device 603 and the thrombus detection device 601 may be integrated into the same electronic medical device.

[0089] Corresponding to the above thrombus detection system, the embodiments of the present application also provide a thrombus detection device.

[0090] See Figure 7 , Figure 7Schematic structural diagram of a thrombus detection device provided by an embodiment of the present application. The above device includes: A data acquisition module 701, configured to acquire an electromotive force fluctuation time series signal characterizing the electromotive force fluctuation information during the operation of the ventricular assist device, and determine target detection parameters; A thrombus detection module 702, configured to determine a target detection result characterizing whether there is thrombus attachment on the ventricular assist device based on the electromotive force fluctuation time series signal and using the target detection parameters.

[0091] In one embodiment of the present application, the above target detection parameters include a first detection threshold and a second detection threshold, where the first detection threshold represents the minimum value for determining thrombus attachment, the second detection threshold represents the maximum value for determining no thrombus attachment, and the first detection threshold is greater than the second detection threshold.

[0092] In one embodiment of the present application, the above data acquisition module 701 includes: A first data acquisition sub-module, configured to acquire reference detection parameters and determine a current fluctuation value characterizing the actual current fluctuation information during the operation of the ventricular assist device; A first ratio calculation sub-module, configured to calculate a first compensation ratio of the reference detection parameters based on the current fluctuation value; A data adjustment sub-module, configured to adjust the reference detection parameters according to the first compensation ratio and determine the adjusted reference detection parameters as the target detection parameters.

[0093] In one embodiment of the present application, the above data acquisition module 701 further includes: A second data acquisition sub-module, configured to determine a pressure fluctuation value characterizing the aortic pressure fluctuation information during the operation of the ventricular assist device before the first ratio calculation sub-module; A second ratio calculation sub-module, configured to calculate a second compensation ratio of the reference detection parameters based on the pressure fluctuation value; The data adjustment sub-module is specifically configured to adjust the reference detection parameters based on the first compensation ratio and the second compensation ratio.

[0094] In one embodiment of the present application, the above thrombus detection module 702 includes: A data determination sub-module, configured to determine a detection time window and determine a detection signal segment of the electromotive force fluctuation time series signal according to the detection time window; A thrombus detection sub-module, configured to determine a target detection result characterizing whether there is thrombus attachment on the ventricular assist device for each detection signal segment using the target detection parameters.

[0095] In one embodiment of the present application, the above-mentioned data determination sub-module is specifically configured to obtain the average unit duration of the cardiac cycle of a patient; determine a duration range smaller than the average unit duration as the detection time window.

[0096] Corresponding to the above thrombus detection system, an embodiment of the present application provides an electronic medical device. Refer to Figure 8 , Figure 8 which is a schematic structural diagram of an electronic medical device provided by an embodiment of the present application. The above-mentioned electronic medical device includes a processor 801, a communication interface 802, a memory 803, and a communication bus 804. Among them, the processor 801, the communication interface 802, and the memory 803 complete mutual communication through the communication bus 804; The memory 803 is used to store computer programs; When the processor 801 is used to execute the programs stored on the memory 803, it implements the steps of the above-mentioned thrombus detection method for the ventricular catheter pump.

[0097] The communication bus mentioned in the above controller may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity, only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0098] The communication interface is used for communication between the above-mentioned controller and other devices.

[0099] The memory may include a Random Access Memory (RAM), and may also include a Non-Volatile Memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located far from the aforementioned processor.

[0100] The above-mentioned processor may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0101] In another embodiment provided by the present application, a computer-readable storage medium is further provided. A computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the above-mentioned thrombus detection method provided by the embodiments of the present application is implemented.

[0102] In another embodiment provided by the present application, a computer program product containing instructions is further provided. When it runs on a computer, it enables the computer to implement the above-mentioned thrombus detection method provided by the embodiments of the present application when executed.

[0103] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server, data center, etc. that includes one or more integrated available media. The available medium may be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a Solid State Disk (SSD)).

[0104] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0105] Each embodiment in this specification is described in a related manner. For the same or similar parts among the embodiments, reference can be made to each other, and the differences between each embodiment and other embodiments are emphasized. In particular, for the embodiments of the apparatus, electronic medical device, and computer-readable storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and reference can be made to the relevant parts of the method embodiments for the relevant content.

[0106] The above description is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application are included in the protection scope of the present application.

Claims

1. A thrombus detection system for a ventricular assist device, characterized in that, The system includes a thrombus detection device and a ventricular assist device. The ventricular assist device is implanted into the patient's heart through a percutaneous intervention method to assist the patient's heart in pumping blood. The thrombus detection device is used to detect whether there is thrombus attachment on the ventricular assist device. When the thrombus detection device detects thrombus attachment, the following thrombus detection method is executed: Obtain an electromotive force fluctuation time series signal characterizing the electromotive force fluctuation information during the operation of the ventricular assist device, and determine target detection parameters; Based on the electromotive force fluctuation time series signal, use the target detection parameters to determine a target detection result characterizing whether there is thrombus attachment on the ventricular assist device.

2. The system according to claim 1, wherein The target detection parameters include a first detection threshold and a second detection threshold. Among them, the first detection threshold represents the minimum value for determining thrombus attachment, and the second detection threshold represents the maximum value for determining no thrombus attachment. The first detection threshold is greater than the second detection threshold.

3. The system according to claim 1, wherein The determination of the target detection parameters includes: Obtain reference detection parameters, and determine a current fluctuation value characterizing the actual current fluctuation information during the operation of the ventricular assist device; Based on the current fluctuation value, calculate a first compensation ratio of the reference detection parameters; Adjust the reference detection parameters according to the first compensation ratio, and determine the adjusted reference detection parameters as the target detection parameters.

4. The system according to claim 3, wherein Before adjusting the reference detection parameters according to the first compensation ratio, it further includes: Determine a pressure fluctuation value characterizing the aortic pressure fluctuation information during the operation of the ventricular assist device; Based on the pressure fluctuation value, calculate a second compensation ratio of the reference detection parameters; The adjustment of the reference detection parameters according to the first compensation ratio includes: Adjust the reference detection parameters based on the first compensation ratio and the second compensation ratio.

5. The system according to any one of claims 1-4, characterized in that, The determination of the target detection result characterizing whether there is thrombus attachment on the ventricular assist device based on the electromotive force fluctuation time series signal and using the target detection parameters includes: Determine a detection time window, and according to the detection time window, determine a detection signal segment of the electromotive force fluctuation time series signal; For each detection signal segment, use the target detection parameters to determine a target detection result characterizing whether there is thrombus attachment on the ventricular assist device.

6. The system according to claim 5, wherein The determination of the detection time window includes: Obtain the average unit duration of the patient's cardiac cycle; Determine a duration range less than the average unit duration as the detection time window.

7. A thrombus detection device for a ventricular assist device, characterized in that, The device includes: A data acquisition module, configured to obtain an electromotive force fluctuation time series signal characterizing the electromotive force fluctuation information during the operation of the ventricular assist device, and determine target detection parameters; A thrombus detection module, configured to determine a target detection result characterizing whether there is thrombus attachment on the ventricular assist device based on the electromotive force fluctuation time series signal and using the target detection parameters.

8. The device according to claim 7, wherein The target detection parameters include a first detection threshold and a second detection threshold. Among them, the first detection threshold represents the minimum value for determining thrombus attachment, and the second detection threshold represents the maximum value for determining no thrombus attachment. The first detection threshold is greater than the second detection threshold.

9. The device according to claim 7, characterized in that The data acquisition module includes: The first data acquisition sub-module is used to acquire the reference detection parameters and determine the current fluctuation value representing the actual current fluctuation information during the operation of the ventricular assist device; The first ratio calculation sub-module is used to calculate the first compensation ratio of the reference detection parameters based on the current fluctuation value; The data adjustment sub-module is used to adjust the reference detection parameters according to the first compensation ratio and determine the adjusted reference detection parameters as the target detection parameters.

10. The device according to claim 9, characterized in that, The data acquisition module further includes: The second data acquisition sub-module is used to determine the pressure fluctuation value representing the aortic pressure fluctuation information during the operation of the ventricular assist device before the first ratio calculation sub-module; The second ratio calculation sub-module is used to calculate the second compensation ratio of the reference detection parameters based on the pressure fluctuation value; The data adjustment sub-module is specifically used to adjust the reference detection parameters based on the first compensation ratio and the second compensation ratio.

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