Stimulation electric field display method, apparatus, system, device, medium, and product

Abstract

A stimulation electric field display method, an apparatus, an electronic device, and a storage medium. The method comprises: in response to a model display operation, determining a target object and a brain tissue image model corresponding to the target object, wherein the brain tissue image model comprises at least one electrode model for deep brain stimulation (S110); in response to an electrode configuration operation, determining electrode configuration information and stimulation parameter application information of each electrode model (S120); and in response to an electric field display operation, determining program-controlled electric field information of the at least one electrode model under the electrode configuration information and the stimulation parameter application information, and displaying the program-controlled electric field information on the displayed brain tissue image model (S130).

Description

Stimulation Electric Field Display Method, Device, System, Equipment, Medium and Product

[0001] This application claims the priority of a Chinese patent application with an application number of 202510027351.X and filed with the Chinese Patent Office on January 8, 2025. The entire content of this application is incorporated herein by reference. Technical Field

[0002] This application relates to the field of electrical stimulation technology, for example, it relates to a stimulation electric field display method, device, electronic equipment and storage medium. Background Art

[0003] Deep brain stimulation (DBS) is a technology that implants electrodes in specific structures (i.e., target points) in the brain through stereotactic surgery, and the implanted neurostimulator in the body sends electrical pulses to the target points through the electrodes, thereby regulating the electrical activities and functions of the corresponding neural structures and networks. The electrodes can include multiple poles, and for each pole, different electrode configurations (polarity and applied voltage) can be set to achieve personalized neural stimulation for different objects.

[0004] In related technologies, electrode configuration usually depends on the experience of technicians. Due to the differences in the experience of different technicians, it is usually difficult for the electric field under the electrode configuration to achieve the preset effect on the neural stimulation of the target object. Summary of the Invention

[0005] This application provides a stimulation electric field display method, device, electronic equipment and storage medium to solve the problem that there is currently a lack of a method that can assist technicians in DBS electrode configuration.

[0006] An embodiment of this application provides a stimulation electric field display method, which includes:

[0007] In response to a model display operation, determine a target object and a brain tissue image model corresponding to the target object, where the brain tissue image model includes at least one electrode model for deep brain stimulation;

[0008] In response to an electrode configuration operation, determine the electrode configuration information and stimulation parameter application information of each electrode model. Each electrode model includes multiple target poles, and the electrode configuration information includes the target polarity of each target pole;

[0009] In response to an electric field display operation, determine the programmed electric field information of at least one electrode model under the electrode configuration information and the stimulation parameter application information, and display the programmed electric field information on the displayed brain tissue image model.

[0010] An embodiment of the present application provides an electric field display device with simulated programmed control, which includes:

[0011] A model display module configured to determine a target object and a brain tissue image model corresponding to the target object in response to a model display operation, wherein the brain tissue image model includes at least one electrode model for deep brain stimulation;

[0012] An electrode configuration module configured to determine electrode configuration information and stimulation parameter application information for each of the electrode models in response to an electrode configuration operation, wherein each of the electrode models includes a plurality of target poles, and the electrode configuration information includes the target polarity of each of the target poles;

[0013] An electric field display module configured to determine programmed electric field information of at least one of the electrode models under the electrode configuration information and the stimulation parameter application information in response to an electric field display operation, and display the programmed electric field information on the displayed brain tissue image model.

[0014] An embodiment of the present application provides an electronic device, which includes:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the stimulation electric field display method according to any embodiment of the present application.

[0018] An embodiment of the present application provides a computer-readable storage medium, which stores computer instructions for causing a processor to implement the stimulation electric field display method according to any embodiment of the present application when executed. Description of the Drawings

[0019] FIG. 1 is a flowchart of a stimulation electric field display method provided in Embodiment 1 of the present application;

[0020] FIG. 2 is a scene example diagram of displaying programmed electric field information on the displayed brain tissue image model provided in an embodiment of the present application;

[0021] FIG. 3 is a flowchart of a stimulation electric field display method provided in Embodiment 2 of the present application;

[0022] FIG. 4 is a scene example diagram of determining programmed electric field information provided in an embodiment of the present application;

[0023] FIG. 5 is a schematic structural diagram of an analog-programmed electric field display device provided in Embodiment 3 of the present application;

[0024] FIG. 6 is a schematic structural diagram of an electronic device for implementing the stimulation electric field display method of the embodiment of the present application. Detailed implementation manners

[0025] Next, the technical solutions in the embodiments of the present application will be 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 without creative efforts shall fall within the protection scope of the present application.

[0026] The terms "first", "second", etc. in the specification and claims of the present application and the above accompanying drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present application described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily need to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] First, a simple description will be given to one of the application fields (i.e., the implantable nerve stimulation system) of the embodiments of the present application.

[0028] Implantable medical systems include implantable nerve electrical stimulation systems, implantable cardiac electrical stimulation systems (also known as cardiac pacemakers), implantable drug infusion systems (Implantable Drug Delivery System, IDDS), and lead transfer systems, etc. Implantable nerve electrical stimulation systems are, for example, deep brain stimulation systems (Deep Brain Stimulation, DBS), implantable cerebral cortex stimulation systems (Cortical Nerve Stimulation, CNS), implantable spinal cord stimulation systems (Spinal Cord Stimulation, SCS), implantable sacral nerve stimulation systems (Sacral Nerve Stimulation, SNS), implantable vagus nerve stimulation systems (Vagus Nerve Stimulation, VNS), etc.

[0029] The implantable nerve electrical stimulation system includes a stimulator implanted in a patient's body (i.e., an implantable nerve stimulator) and a programming device disposed outside the patient's body. That is to say, the stimulator is a medical device, or rather, the medical device includes the stimulator. The related nerve regulation technology mainly implants electrodes (the electrodes are in the form of electrode leads, for example) at specific sites (i.e., target points) of the tissue of an organism through stereotactic surgery, and sends electrical pulses to the target points through the electrodes to regulate the electrical activities and functions of the corresponding nerve structures and networks, thereby improving symptoms and relieving pain.

[0030] As an example, DBS includes an Implantable Pulse Generator (IPG), an extension lead, and an electrode lead. The IPG is connected to the electrode lead through the extension lead. The IPG is implanted in the patient's body, for example, implanted in front of the patient's chest or other internal body parts.

[0031] As another example, DBS includes an IPG and an electrode lead, and the IPG is directly connected to the electrode lead. The IPG is implanted in the patient's head. For example, a slot is cut in the patient's skull, and then the IPG is installed in the slot of the skull. In this case, the IPG may not protrude from the outer surface of the skull, or may partially protrude from the outer surface of the skull.

[0032] The IPG provides controllable electrical stimulation therapy (or electrical stimulation energy) to the internal tissue in response to the sample brain mask information sent by the programming device, relying on a sealed battery and a circuit. When the battery power is low, the battery needs to be charged, and the method of charging the battery can be wireless charging using an electromagnetic induction coil, charging through the human skin or other epidermal tissues, etc. The IPG delivers one or more channels of controllable specific electrical stimulation to a specific area of the internal tissue through the electrode lead.

[0033] In some embodiments, the extension lead is used in cooperation with the IPG as a transmission medium for electrical stimulation to transmit the electrical stimulation generated by the IPG to the electrode lead.

[0034] In some embodiments, electrical stimulation can be delivered in the form of a pulsed signal or in the form of a non-pulsed signal. For example, electrical stimulation can be delivered as a signal with various waveform shapes, frequencies, and amplitudes. Therefore, the electrical stimulation in the form of a non-pulsed signal can be a continuous signal, which can have a sine waveform or other continuous waveforms.

[0035] After receiving the electrical stimulation transmitted by the IPG or the extension wire, the electrode lead delivers electrical stimulation to a specific area of the body tissue through multiple electrode contacts. The stimulator is provided with, for example, one or more electrode leads on one side or both sides. Multiple electrode contacts are provided on the electrode lead, and the electrode contacts can be arranged uniformly or non-uniformly in the circumferential direction of the electrode lead. As an example, the electrode contacts can be arranged in a 4-row and 3-column array (a total of 12 electrode contacts) in the circumferential direction of the electrode lead. The electrode contacts can include stimulation electrode contacts and / or acquisition electrode contacts. The electrode contacts can be in the shape of, for example, a sheet, a ring, a dot, etc.

[0036] In some embodiments, the body tissue to be stimulated can be the patient's brain tissue, and the stimulated site can be a specific site of the brain tissue. When the disease types of the patient are different, generally the stimulated sites are different, and the number of stimulated contacts (single-source or multi-source), the application of one or more (single-channel or multi-channel) specific electrical stimulations, and the stimulation parameters (values) are also different.

[0037] The embodiments of the present application do not limit the applicable disease types, which can be the disease types applicable to deep brain stimulation (DBS), spinal cord stimulation (SCS), sacral nerve stimulation, gastric stimulation, peripheral nerve stimulation, and functional electrical stimulation. The disease types that DBS can be used to treat or manage include but are not limited to: spastic diseases (such as epilepsy), pain, migraine, mental diseases (such as major depressive disorder (MDD)), bipolar disorder, anxiety disorder, post-traumatic stress disorder, dysthymia, obsessive-compulsive disorder (OCD), behavioral disorders, mood disorders, memory disorders, mental state disorders, movement disorders (such as essential tremor or Parkinson's disease), Huntington's disease, Alzheimer's disease, drug addiction, autism, or other neurological or psychiatric diseases and impairments.

[0038] In the embodiments of the present application, when the programming device and the stimulator establish a programming connection, the programming device can be used to adjust one or more stimulation parameters of the stimulator (or one or more stimulation parameters of the pulse generator, and different electrical stimulations correspond to different stimulation parameters), or the stimulator can sense the patient's electrophysiological activity to collect electrophysiological signals, and the stimulation parameters of the stimulator can be further adjusted through the collected electrophysiological signals to achieve closed-loop control (or adaptive adjustment) of the stimulation parameters.

[0039] The stimulation parameters may include at least one of the following: electrode contact identifiers for delivering electrical stimulation (such as electrode contact 2# and electrode contact 3#), frequency (such as the number of electrical stimulation pulse signals within a unit time of 1 s, with the unit being Hz), pulse width (the duration of each pulse, with the unit being μs), amplitude (generally expressed in voltage, that is, the intensity of each pulse, with the unit being V), timing sequence (such as continuous or burst, and burst refers to a discontinuous timing behavior composed of multiple processes), stimulation mode (including one or more of current mode, voltage mode, timed stimulation mode, and cyclic stimulation mode), upper and lower limits controlled by the doctor (the adjustable range by the doctor), and upper and lower limits controlled by the patient (the adjustable range by the patient himself / herself).

[0040] In some embodiments, at least one stimulation parameter of the stimulator may be adjusted in current mode or voltage mode.

[0041] The programming device may include a doctor programming device (i.e., the programming device used by the doctor) and / or a patient programming device (i.e., the programming device used by the patient). The doctor programming device is, for example, a smart terminal device such as a tablet computer, a notebook computer, a desktop computer, a mobile phone, etc. equipped with programming software. The patient programming device is, for example, a smart terminal device such as a tablet computer, a notebook computer, a desktop computer, a mobile phone, etc. equipped with programming software. The patient programming device may also be other electronic devices with programming functions (such as a charger with programming functions, an electrophysiological acquisition device, etc.).

[0042] The embodiments of the present application do not limit the data interaction between the doctor programming device and the stimulator. When the doctor performs remote programming, the doctor programming device may perform data interaction with the stimulator through the server and the patient programming device. When the doctor performs programming face-to-face with the patient offline, the doctor programming device may perform data interaction with the stimulator through the patient programming device, and the doctor programming device may also directly perform data interaction with the stimulator. The doctor sends a set of programming parameters to the stimulator through the programming device, and the set of programming parameters (or the preset programming parameters mentioned below) includes multiple electrode contacts and the corresponding stimulation parameters for each electrode contact.

[0043] In some embodiments, the patient programming device may include a host (communicating with a server) and a slave (communicating with a stimulator), and the host and the slave are communicatively connected. The doctor programming device can perform data interaction with the server through a 3G / 4G / 5G network, the server can perform data interaction with the host through a 3G / 4G / 5G network, the host can perform data interaction with the slave through a Bluetooth protocol / WIFI protocol / USB protocol, the slave can perform data interaction with the stimulator through a working frequency band of 401 MHz - 406 MHz / 2.4 GHz - 2.48 GHz, and the doctor programming device can directly perform data interaction with the stimulator through a working frequency band of 401 MHz - 406 MHz / 2.4 GHz - 2.48 GHz.

[0044] Embodiment 1

[0045] FIG. 1 is a flowchart of a method for displaying a stimulation electric field provided by Embodiment 1 of the present application. This embodiment is applicable to the situation of displaying a programmed electric field before or during actual programming. This method can be executed by an electric field display device for simulated programming, and the electric field display device for simulated programming can be implemented in the form of hardware and / or software. The electric field display device for simulated programming can be configured in a computer or a doctor programming device. As shown in FIG. 1, the method includes:

[0046] S110. In response to a model display operation, determine a target object and a brain tissue image model corresponding to the target object, where at least one electrode model for deep brain stimulation is included in the brain tissue image model.

[0047] The model display operation can be understood as an operation of displaying the brain tissue image model of the target object. For example, after the patient completes the electrode implantation surgery, the doctor starts the programmed treatment. First, a three-dimensional image model of the patient's brain tissue needs to be established based on the patient's postoperative images (such as CT images, X-ray images, etc.). At the doctor's end, the three-dimensional image model of the patient's brain is displayed on the display screen of the programming device (such as a computer, a laptop, etc.).

[0048] Optionally, the model display operation may include an object selection operation and a model display operation. That is, object selection operation controls and model display operation controls are provided on the display screen. The object selection operation control is set to select a patient, so that the treatment-related information of the patient (such as image parameters, electrode implantation parameters, patient identity information, etc.) is extracted in the background. The model display operation control can selectively display relevant image models, such as the implanted target nucleus, the electrode trajectory of the implanted electrode, the three-dimensional image model of the whole brain, etc.

[0049] The object selection operation may be an operation of selecting the target object from at least one candidate object. Exemplarily, the object selection operation may be a click operation on the candidate object.

[0050] The model display operation may be an operation of displaying the brain tissue image model corresponding to the target object. Exemplarily, the model display operation may be a triggering operation on a model display control.

[0051] In the embodiments of the present application, the execution of the object selection operation may precede the model display operation.

[0052] The target object may be an object to be actually subjected to deep brain stimulation. The target object may be a patient, or a target area for electrode implantation, such as a target nucleus, etc. In the embodiments of the present application, the actual deep brain stimulation may be implemented based on the programming control of deep brain electrode stimulation (DBS).

[0053] The brain tissue image model may be understood as an image model capable of characterizing the brain tissue structure of the target object.

[0054] In the embodiments of the present application, the brain tissue image models of different target objects may be different. The brain tissue image model corresponding to each target object may be constructed based on the three-dimensional (3D) image of the target object.

[0055] The electrode model may be understood as the model corresponding to the target electrode. The target electrode may be an electrode actually implanted in the brain of the target object. Exemplarily, the target electrode may be a circular ring electrode. By displaying the electrode model, the actual positions of different electrode contacts in the brain tissue in the electrode model can be shown, facilitating the subsequent selection of corresponding electrode contacts to deliver electrical pulses.

[0056] In another embodiment, the target electrode may be a segmented electrode, and the segmented electrode may be provided with a plurality of electrode sheets in the circumferential direction of the electrode wire, so as to adjust the direction of electric field stimulation when delivering electrical pulses, improving the accuracy and pertinence of stimulation.

[0057] In the embodiments of the present application, the 3D image used to construct the brain tissue image model may include information of the target electrode.

[0058] It can be understood that by constructing the brain tissue image model, the real position and state of the implanted electrode in the patient's brain can be intuitively displayed, which can help the doctor timely and accurately understand the positions of each electrode contact in the electrode in the target nucleus in the brain, so as to select appropriate electrode contacts for work, improving the accuracy and efficiency of programming treatment and reducing the discomfort of the patient.

[0059] S120. In response to the electrode configuration operation, determine the electrode configuration information and the stimulation parameter application information of each of the electrode models.

[0060] The electrode model includes a plurality of target poles, and the electrode configuration information includes the target polarities of each of the target poles.

[0061] The electrode configuration operation may be an operation of configuring the electrode polarities. Optionally, the electrode configuration operation may be an operation of configuring the target polarities of each of the target poles in each of the electrode models.

[0062] Each of the target poles may correspond to an electrode pad. The target polarities may include at least one of positive (+), negative (-), and off.

[0063] In an embodiment of the present application, the target poles included in the electrode model are related to the target electrodes actually implanted in the brain of the target object, which is not limited herein. Optionally, the electrode model may include a first pole, a second pole, and a third pole; the electrode model may include a first pole, a second pole, a third pole, and a fourth pole, etc.

[0064] The electrode configuration information may be understood as the configuration information of the polarities of the target poles.

[0065] In an embodiment of the present application, the electrode configuration information is related to the user's electrode configuration operation, and the electrode configuration operation is related to the user's needs and the scenario needs, which is not limited herein.

[0066] Optionally, when the electrode model may include three target poles, namely a first pole, a second pole, and a third pole; the electrode configuration information may be that the target polarity of the first pole is negative, the target polarity of the second pole is negative, and the target polarity of the second pole is positive;

[0067] Or, the electrode configuration information may be that the target polarity of the first pole is positive, the target polarity of the second pole is off, and the target polarity of the second pole is negative, etc.

[0068] The stimulation parameter application information may characterize the parameters of the stimulation pulses applied to each of the target poles. The stimulation pulses may be represented by different stimulation dimensions, such as amplitude, frequency, pulse width, etc. In an embodiment of this specification, the stimulation parameter application information may be the magnitude of the amplitude, that is, the magnitude of the stimulation output voltage. In an embodiment of the present application, the applied voltage of the target pole that is the negative pole may be a value greater than 0. The applied voltage of the target pole that is the positive pole or the empty pole may be 0.

[0069] S130. Determine the programmed electric field information of at least one of the electrode models based on the electrode configuration information and the stimulation parameter application information, and display the programmed electric field information on the displayed brain tissue image model.

[0070] The electric field display operation may be understood as an operation of displaying the programmed electric field information. In an embodiment of the present application, programming may refer to DBS programming. DBS programming may refer to the process of applying voltage to the poles of an electrode to generate an electric field, which has the actual effect of achieving deep brain stimulation.

[0071] The programmed electric field information may be understood as the distribution information of the programmed electric field on the brain tissue image model, such as the range of the stimulation electric field. In this way, according to the position of each electrode sheet in the implanted electrode in the patient's brain, the range of the brain tissue covered by the stimulation electric field corresponding to each electrode sheet can be intuitively seen through three-dimensional display (such as the range covering the nucleus). Taking a circular electrode as an example, generally, the range of the stimulation electric field of the electrode sheet should be a spherical stimulation field centered on the electrode sheet, so that the size of the nucleus covered by the spherical stimulation field can be observed, and then it can assist the doctor to judge whether the spherical stimulation field can perform effective stimulation treatment.

[0072] In an embodiment of the present application, the programmed electric field information may be the electric field information of one electrode model, or the superimposed electric field information of multiple electrode models, that is, stimulation pulses are delivered simultaneously by multiple electrode sheets, so that a superimposed stimulation electric field can be formed to form a stimulation area with a larger range.

[0073] As shown in Figure 2, Figure 2 is a scene example diagram of displaying the programmed electric field information on the displayed brain tissue image model according to an embodiment of the present application. 11 represents the electrode model, 22 represents the target pole, and 33 represents the programmed electric field information. The electrode model shown in Figure 2 includes 4 target poles. Among them, from top to bottom, the target polarities of the two lower target poles are negative poles.

[0074] In the technical solution of the embodiment of the present application, in response to a model display operation, a target object and a brain tissue image model corresponding to the target object are determined, wherein the brain tissue image model includes at least one electrode model for deep brain stimulation; in response to an electrode configuration operation, electrode configuration information and stimulation parameter application information of each electrode model are determined, wherein the electrode model includes a plurality of target poles, and the electrode configuration information includes the target polarity of each target pole; in response to an electric field display operation, programmed electric field information of at least one of the electrode models under the electrode configuration information and the stimulation parameter application information is determined, and the programmed electric field information is displayed on the displayed brain tissue image model. The present application realizes the effect of quickly calculating and displaying the distribution of the simulated programmed electric field of the electrode model under any electrode configuration and applied voltage on the brain tissue image model. The present application can effectively assist technicians in DBS electrode configuration and rapid and accurate selection of programmed parameters, and has strong versatility and can be applied to target objects with any brain structure.

[0075] FIG. 3 is a flowchart of a method for displaying a stimulation electric field provided by an embodiment of the present application. This embodiment is an explanation of determining the programmed electric field information of the electrode configuration information under the stimulation parameter application information in the above embodiment. As shown in FIG. 3, the method includes:

[0076] S210. In response to a model display operation, a target object and a brain tissue image model corresponding to the target object are determined.

[0077] S220. In response to an electrode configuration operation, electrode configuration information and stimulation parameter application information of each electrode model are determined.

[0078] S230. In response to an electric field display operation.

[0079] S240. Determine an electric field information library for a single negative pole.

[0080] The electric field information library includes a plurality of alternative electric field information corresponding to the electrode model. Each alternative electric field information represents the distribution information of the simulated electric field generated by any target pole in the electrode model under a reference applied voltage on the brain tissue image model.

[0081] The electric field information library for a single negative pole can be understood as an information library for storing electric field information.

[0082] The alternative configuration information may be the configuration information of a single negative pole. The single negative pole may refer to a pole in the electrode model with only one negative polarity. Optionally, one alternative configuration information may represent an alternative electrode polarity configuration.

[0083] The reference applied voltage can be understood as a preset applied voltage for reference calculation. In an embodiment of the present application, optionally, the reference applied voltage can be 3V.

[0084] The alternative electric field information can be understood as the electric field information of the electrode model under alternative configuration information and the reference applied voltage. The alternative electric field information can characterize the distribution of the simulated electric field generated by the electrode model under alternative configuration information and the reference applied voltage on the brain tissue image model.

[0085] Optionally, before determining the electric field information library of the single negative pole point, it further includes:

[0086] Obtain a simulation tissue model of the patient's brain tissue, and implant at least one simulation electrode into the simulation tissue model to obtain a target simulation model;

[0087] Send an electric pulse to the simulation electrode in the target simulation model according to the reference applied voltage to obtain the alternative electric field information corresponding to each target pole point.

[0088] The simulation tissue model can be understood as a simulation model of the patient's brain tissue. Optionally, the simulation tissue model can include a physical model or a three-dimensional (3D) digital model. Similarly, the simulation electrode can be understood as a simulation model corresponding to the stimulation electrode. Optionally, the simulation electrode can include a physical model or a three-dimensional digital model.

[0089] In an embodiment of the present application, the construction methods of the simulation tissue model and the simulation electrode can be preset according to the scenario requirements, which are not limited herein. Exemplarily, a simulation tissue model of the patient's brain tissue or a simulation electrode of the stimulation electrode is constructed by digital twin technology or reverse engineering technology.

[0090] The target simulation model can be understood as a simulation tissue model implanted with a simulation electrode. In an embodiment of the present application, the position of the simulation electrode in the target simulation model is the same as the position of the stimulation electrode in the patient's brain tissue.

[0091] Send an electric pulse to the simulation electrode in the target simulation model according to the reference applied voltage, and determine the distribution information of the simulated electric field generated by each target pole point under the reference applied voltage on the brain tissue image model to obtain the alternative electric field information.

[0092] Based on the above embodiment scheme, by simulating and implanting the simulation electrode corresponding to the stimulation electrode into the simulation tissue model corresponding to the patient's brain tissue, and then sending an electric pulse to the simulation electrode, the effect of accurately obtaining the alternative electric field information corresponding to each target pole point is achieved.

[0093] Optionally, before determining the electric field information library of the single negative pole point, it further includes:

[0094] For each of the target pole points of the electrode model, set the polarity of the target pole point to negative, and set the polarities of the other target pole points except the negative electrode to positive and / or empty, and apply an electric pulse to the target electrode according to the reference applied voltage to obtain the alternative electric field information corresponding to each target pole point;

[0095] Construct the electric field information library according to the alternative electric field information corresponding to each target pole point in the electrode model.

[0096] Exemplarily, for each of the target pole points of the electrode model, setting the polarity of the target pole point to negative and setting the polarities of the other target pole points except the negative electrode to positive and / or empty is illustrated as follows:

[0097] There are pole points a, b, c, and d on electrode model A. For pole point a, set pole point a to negative; set pole points b, c, and d to positive and / or empty. For example, pole point b is positive, pole point c is positive, and pole point d is positive, or pole point b is positive, pole point c is positive, and pole point d is empty, or pole point b is positive, pole point c is empty, and pole point d is empty, until all possible polarities of positive and / or empty are covered; for pole points b, c, and d, return and execute the above operations in sequence to obtain the alternative electrode configurations of the single negative pole point.

[0098] For each alternative electrode configuration, apply an electric pulse to the target electrode under each alternative electrode configuration according to the reference applied voltage to obtain the alternative electric field information corresponding to each target pole point.

[0099] Based on the above embodiment solution, it can achieve the effect that the alternative configuration information corresponding to the alternative electric field information in the electric field information library covers any electrode polarity configuration of the single negative pole point corresponding to each electrode model.

[0100] Optionally, applying an electric pulse to the target electrode according to the reference applied voltage to obtain the alternative electric field information corresponding to each target pole point includes:

[0101] Determine the correction coefficient associated with each target pole point and the brain tissue image model, where the correction coefficient is at least associated with the position of the electrode implanted in the brain of the target object;

[0102] Determine the alternative electric field information of each target pole point according to the reference applied voltage applied to each target pole point and the correction coefficient.

[0103] The electrodes implanted in the brain of the target object can be used for electric field stimulation of the target object. The correction coefficient can be understood as the coefficient involved in the process of calculating the alternative electric field information. The correction coefficient can be one or more. The correction coefficient can be at least associated with the position of the electrode implanted in the brain of the target object, and the correction coefficient can also be associated with the physical properties of the electrode itself. In the embodiments of the present application, the correction coefficient can be set in advance according to the personalized characteristics of the brain tissue of the target patient, which is not limited herein.

[0104] For different patients, the correction coefficients can be different. That is, there are certain differences in the distribution of biological tissues in the brains of different patients. Combining the different positions of electrode implantation, the biological tissue environment where the electrodes are located is different. In this way, when performing electrical stimulation, the diffusion characteristics of the electric field are also different, resulting in different electric field atmospheres. When calculating the correction coefficient, it can be set according to the biological tissue environment where the electrode is located. Of course, the electrical characteristics of the electrode itself can also be considered. A personalized electric field model can be obtained, avoiding the use of a standard electric field and thus ignoring individual differences, and improving the accuracy and reliability of electric field display.

[0105] Based on the above embodiment solutions, the effect of constructing an electric field information library of a single negative pole point that conforms to the personalized characteristics of the brain tissue of the target patient can be achieved. Optionally, the correction coefficient includes at least one of the conductivity of the brain tissue of the target object, the dielectric constant, and the electrode material parameters.

[0106] The conductivity can be understood as a measurement value representing the strength of the electrode's ability to transmit current.

[0107] The dielectric constant can be understood as a parameter of the dielectric properties or polarization properties of the piezoelectric material dielectric of the electrode under the action of an electrostatic field.

[0108] The electrode material parameter can be understood as a parameter representing the characteristics of the physical material of the electrode. In the embodiments of the present application, the electrode material parameter can be preset according to the scenario requirements, which is not limited herein. Exemplarily, the physical material of the electrode can be copper, silver, gold, graphene, etc. Correspondingly, the electrode material parameters can be parameters such as A, B, C, and D in sequence.

[0109] Based on the above embodiment solutions, by introducing correction coefficients such as conductivity, dielectric constant, and electrode material parameters to determine the alternative electric field information, the determined alternative electric field information can be made closer to the actual situation, improving the reliability of subsequent programming parameter adjustment.

[0110] Optionally, the determining the alternative electric field information of each target pole according to the reference applied voltage applied to each target pole and the correction coefficient includes:

[0111] According to the reference applied voltage applied to each target pole, standard electric field information corresponding to each target pole is obtained;

[0112] According to the correction coefficient corresponding to each target pole, the standard electric field information is corrected to obtain the alternative electric field information corresponding to the target pole.

[0113] The standard electric field information can be understood as the distribution information of the electric field of the pole under the reference applied voltage.

[0114] Optionally, the correcting the standard electric field information according to the correction coefficient corresponding to each target pole may include:

[0115] Performing a distribution expansion process on the standard electric field information according to the correction coefficient corresponding to each target pole to obtain the alternative electric field information corresponding to the target pole; or, performing a distribution reduction process on the standard electric field information according to the correction coefficient corresponding to each target pole to obtain the alternative electric field information corresponding to the target pole.

[0116] In an actual application scenario, the correction coefficient is set in advance针对性 based on the personalized characteristics of the patient's brain tissue.

[0117] Based on the above embodiment solution, the effect of constructing an electric field information library of a single negative pole that conforms to the personalized characteristics of the brain tissue of the target patient can be achieved. That is, by combining the actual implantation environment of the electrode (the distribution of brain tissue and its own material), the previous standard electric field information (the standard electric field information of a single pole) is corrected, so as to obtain alternative electric field information targeted at different patients, avoid using a spherical standard electric field, improve the accuracy of the display of the stimulating electric field, and the reliability of subsequent programming parameter adjustment.

[0118] S250. Determine at least one to-be-combined electric field information from the electric field information library according to the electrode configuration information.

[0119] The to-be-combined electric field information can be understood as sub-electric field information that can be combined to obtain the programmed electric field information. In the embodiments of the present application, when there is one electrode model and the electrode configuration information of the electrode model is a single negative pole, the to-be-combined electric field information may be one, otherwise, the to-be-combined electric field information may be multiple.

[0120] Optionally, the determining at least one to-be-combined electric field information from the multiple alternative electric field information in the electric field information library according to the electrode configuration information includes:

[0121] It should be noted that the word "针对性" in the original text seems to be an incorrect or incomplete expression. I translated it as "针对性" as it is, but it might need to be adjusted according to the correct context.Determine the electric field information search rule corresponding to the target configuration category according to the target configuration category of the electrode configuration information;

[0122] According to the electric field information search rule, at least one piece of to-be-combined electric field information corresponding to the electrode configuration information is found from among the multiple pieces of alternative electric field information in the electric field information library.

[0123] The target configuration category can be understood as the category of the electrode configuration information. In an embodiment of the present application, optionally, the target configuration category includes a single negative electrode category and / or a multi-negative electrode category, and the multi-negative electrode category includes an adjacent negative electrode category and / or a non-adjacent negative electrode category.

[0124] The electric field information search rule can be a rule for finding at least one piece of to-be-combined electric field information that can be combined to obtain the programmed electric field information. In an embodiment of the present application, the electric field information search rules corresponding to different target configuration categories may be different or the same.

[0125] Based on the above embodiment solution, the effect of quickly obtaining the required to-be-combined electric field information can be achieved.

[0126] Taking the target configuration category of the electrode configuration information as the adjacent negative electrode category as an example,示例性的 (Here "示例性的" seems to be a misspelling or an inappropriate term, assuming it should be "Exemplarily"), the electrode model includes 4 poles, the electrode configuration information is 1-, 2-, 3 empty, 4 empty. Based on the electric field information search rule corresponding to the adjacent negative electrode category, the alternative configuration information corresponding to this electrode configuration information can be determined to be 1-, 2+ and 1+, 2-. The alternative electric field information corresponding to the above two pieces of alternative configuration information is retrieved from the electric field information library, and the retrieved alternative electric field information is used as the to-be-combined electric field information.

[0127] Taking the target configuration category of the electrode configuration information as the single negative electrode category as an example,示例性的 (assuming it should be "Exemplarily"), the electrode configuration information is 1+, 2-, 3+, 4+. The electric field information search rule can be to search simultaneously to the left and right from the negative electrode position, respectively find the nearest positive electrode and then represent all the remaining positive electrodes as empty, so as to obtain the alternative configuration information corresponding to this electrode configuration information as 1+, 2-, 3+. The alternative electric field information corresponding to the above alternative configuration information is retrieved from the electric field information library, and the retrieved alternative electric field information is used as the to-be-combined electric field information.

[0128] The technical solution of the embodiment of the present application, based on the principle of linear superposition of electric fields, can quickly extract relevant electric field information (to-be-combined electric field information) from the pre-stored electric field information library by searching and combining the pre-calculated and stored single-pole electric field distribution information, so as to combine electric fields to obtain the programmed electric field information.

[0129] S260. Determine the scaling parameter of each of the to-be-combined electric field information based on the stimulation parameter application information.

[0130] S270. Determine the programmed electric field information based on the at least one to-be-combined electric field information and its corresponding scaling parameter.

[0131] Optionally, the determining the programmed electric field information based on the at least one to-be-combined electric field information and its corresponding scaling parameter includes:

[0132] For each of the electrode models, determine the actual electric field information of each target pole in the electrode model based on the at least one to-be-combined electric field information and the scaling parameter corresponding to each to-be-combined electric field information;

[0133] Determine the positional relationship of the multiple target poles in the electrode model;

[0134] Perform a range union process on the multiple actual electric field information according to the positional relationship to obtain the programmed electric field information corresponding to each electrode model.

[0135] The scaling parameter can be determined based on the ratio between the stimulation parameter application information and the reference application voltage. The stimulation parameter application information delivered by different target poles can be different. Thus, combined with the reference application voltage, the scaling factors corresponding to different target poles may also be different. When calculating the programmed electric field information, first, according to the scaling factor corresponding to each target pole and the alternative electric field information, obtain the actual electric field information corresponding to each target pole, that is, the actual electric field range; then, combined with the positional relationship of different target poles in the implanted electrode, perform a range union process on the actual electric field ranges corresponding to each target pole (that is, merge the intersecting parts) to obtain the final programmed electric field information. Based on the above embodiment solutions, the reliability of the determined programmed electric field information is improved.

[0136] FIG. 4 is a scenario example diagram for determining the programmed electric field information provided by an embodiment of the present application. As shown in FIG. 4, it shows a scenario of superimposing two to-be-combined electric field information to obtain one programmed electric field information.

[0137] The alternative configuration information corresponding to the to-be-combined electric field information of the leftmost electrode model shown in FIG. 4 is that the polarity of the fourth (from top to bottom) target electrode is negative, and the alternative configuration information corresponding to the to-be-combined electric field information of the middle electrode model is that the polarity of the third (from top to bottom) target electrode is negative.

[0138] The determining the programmed electric field information based on the to-be-combined electric field information and the scaling parameter can be implemented based on the following formula:

[0139]

[0140] Among them, represents the electric field information to be combined, i represents multiple electric field information to be combined, i represents the scaling parameter corresponding to different electric fields to be combined, and n is the number of electric field information to be combined.

[0141] Exemplarily, three pieces of electric field information to be combined have been determined , , , and the scaling coefficients A1, A2, and A3 corresponding to each piece of electric field information to be combined have been determined through the above method. Then, the final electric field determined by these three pieces of electric field information to be combined can be:

[0142]

[0143] Among them, represents the electric field information to be combined, , , represent multiple electric field information to be combined, represents the scaling parameter corresponding to each piece of electric field information to be combined.

[0144] S280. Display the programmed electric field information on the displayed brain tissue image model.

[0145] In the technical solution of the embodiment of the present application, by determining an electric field information library of single negative poles, where the electric field information library includes multiple alternative electric field information corresponding to the electrode model, and each alternative electric field information characterizes an alternative configuration information and the distribution information of the simulated electric field generated by the electrode model under the reference applied voltage on the brain tissue image model; determining at least one piece of electric field information to be combined from the multiple alternative electric field information in the electric field information library according to the electrode configuration information; determining the scaling parameter of each piece of electric field information to be combined based on the stimulation parameter application information, and determining the programmed electric field information according to the electric field information to be combined and the scaling parameter. The present application can directly retrieve the electric field information to be combined related to the electrode configuration information from the electric field information library, and combine the electric field information to be combined based on the scaling parameter to obtain the programmed electric field information, greatly reducing the real-time calculation amount and achieving the effect of quickly displaying the programmed electric field information of the electrode model under the electrode configuration information and the stimulation parameter application information.

[0146] The following is a supplementary elaboration on the method for displaying the stimulation electric field:

[0147] This application utilizes the pre-calculated and stored electric field distribution of each electrode model under different polarity configurations of a single negative pole to combine electric fields by leveraging the additivity and homogeneity of the electric fields, thereby quickly calculating and displaying the target electric field distribution for any electrode configuration.

[0148] For the electrode model in the brain tissue imaging model corresponding to the target object, each pole is set as a negative pole, and the remaining poles are set as empty poles (not set) or positive poles. All combinations of electrode configurations are iterated, and the electric field of a single negative pole is generated by combining the personalized conductivity, dielectric constant, and material properties of the electrode corresponding to the target object model. Taking into account the additivity (multiple negative poles of an electrode can be obtained by superimposing the simulation results of multiple single negative poles) and homogeneity (simulation results of different voltages of the electrode can be derived from proportional calculations of voltage simulation results), for the electrode configuration to be displayed, the target electric field distribution is quickly generated by searching and combining pre-stored single-pole electric field distribution information and by linearly superimposing electric field information of different polarity configurations.

[0149] Pre-calculation and database establishment of electric field information for a single negative pole: For each target pole on each electrode model, the electric field distribution under the reference voltage is calculated under the condition that the other electrodes are positive or not set. Individualized parameters such as conductivity, dielectric constant, and electrode material properties corresponding to the target object model are introduced during the calculation. The electric field distribution information is accurately calculated and stored to construct the electric field information database for a single negative pole.

[0150] To account for the homogeneity of the electric field, the electric field strength under different applied voltages can be calculated using linear scaling, as shown in the following formula:

[0151]

[0152] in, This indicates the scaled electric field information. This represents the voltage scaling factor (scaling parameter). This indicates the electric field information before scaling. This is the reference voltage (reference applied voltage).

[0153] For cases where the applied voltage to the target is not an integer multiple of the reference voltage, an interpolation method can be used to calculate the electric field distribution of the target in order to obtain the electric field under the parameters of the applied voltage.

[0154] For the superposition of electric fields at multiple negative poles, based on the linear superposition characteristic of electric fields, the target electric field distribution is obtained by quickly extracting and combining relevant electric field distributions from the pre-calculated information database by searching and combining the electric field distribution of a single negative pole.

[0155] For electric field fusion and correction, the electric fields to be combined are fused and corrected into a whole before being fused with the electrode model and brain tissue image model. An adaptive smoothing algorithm is used to eliminate discontinuities generated during the fusion process, improving the continuity of the overall electric field distribution while maintaining important features. The integrated electric field distribution information is then displayed.

[0156] This application improves the computational efficiency of the target electric field: by directly retrieving the pre-calculated and stored electric field distribution information of a single negative pole from the electric field information database, the real-time computational load of the target electric field is significantly reduced, achieving the effect of quickly calculating the electric field distribution information of any electrode configuration. It also improves the computational accuracy of the electric field information of a single negative pole: the pre-calculated electric field distribution information of a single negative pole considers the personalized simulation-controlled parameters of the target object's model (brain tissue imaging model electrode model), ensuring computational accuracy. Furthermore, it enhances the versatility of the application; this application is applicable to various electrode configurations and target objects with different brain structures, enabling the visualization of simulated programmed electric fields. It allows for the rapid visualization of the programmed electric field information of at least one electrode model under any electrode configuration and the applied stimulation parameters, helping users intuitively understand the distribution of the programmed electric field information generated by the electrode model under different electrode configurations and applied voltages in the brain tissue imaging model, effectively improving the user experience.

[0157] Example 3

[0158] Figure 5 is a schematic diagram of a simulated programmable electric field display device provided in Embodiment 3 of this application. As shown in Figure 5, the device includes: a model display module 310, an electrode configuration module 320, and an electric field display module 330.

[0159] The model display module 310 is configured to, in response to a model display operation, determine a target object and a corresponding brain tissue imaging model, wherein the brain tissue imaging model includes at least one electrode model for deep brain stimulation; the electrode configuration module 320 is configured to, in response to an electrode configuration operation, determine electrode configuration information and stimulation parameter application information for each electrode model, wherein the electrode model includes multiple target poles, and the electrode configuration information includes the target polarity of each target pole; the electric field display module 330 is configured to, in response to an electric field display operation, determine the programmed electric field information of at least one electrode model under the electrode configuration information and the stimulation parameter application information, and display the programmed electric field information on the displayed brain tissue imaging model.

[0160] The technical solution of this application embodiment, in response to a model display operation, determines a target object and a corresponding brain tissue imaging model, wherein the brain tissue imaging model includes at least one deep brain stimulation (DBS) electrode model; in response to an electrode configuration operation, it determines electrode configuration information and stimulation parameter application information for each electrode model, wherein the electrode model includes multiple target poles, and the electrode configuration information includes the target polarity of each target pole; in response to an electric field display operation, it determines the programmed electric field information of at least one electrode model under the electrode configuration information and the stimulation parameter application information, and displays the programmed electric field information on the displayed brain tissue imaging model. This application achieves the effect of quickly calculating and displaying the distribution of the simulated programmed electric field of the electrode model under arbitrary electrode configuration and applied voltage on the brain tissue imaging model. This application can effectively assist technicians in DBS electrode configuration and has strong versatility, applicable to target objects with any brain structure.

[0161] Optionally, the electric field display module 330 includes:

[0162] The information database determination unit is configured to determine the electric field information database for a single negative pole. The electric field information database includes multiple candidate electric field information corresponding to the electrode model. Each candidate electric field information represents the distribution information of the simulated electric field generated by any target pole in the electrode model under the reference applied voltage on the brain tissue image model.

[0163] The electric field to be combined determination unit is configured to determine at least one electric field to be combined information from the electric field information database based on the electrode configuration information.

[0164] The scaling parameter determination unit is configured to determine the scaling parameter for each of the electric field information to be combined based on the stimulus parameter application information.

[0165] The programmable electric field determination unit is configured to determine the programmable electric field information based on the at least one electric field information to be combined and its corresponding scaling parameter.

[0166] Optionally, the programmable electric field determination unit is configured as follows:

[0167] For each of the electrode models, the actual electric field information of each target pole in the electrode model is determined based on at least one of the electric field information to be combined and the scaling parameter corresponding to each of the electric field information to be combined;

[0168] Determine the positional relationship of the multiple target poles in the electrode model;

[0169] Based on the positional relationship, the range union of multiple actual electric field information is performed to obtain the programmable electric field information corresponding to each electrode model.

[0170] Optionally, the simulated programmable electric field display device further includes:

[0171] The alternative electric field determination module is configured to, before determining the electric field information database for a single negative pole, set the polarity of each target pole of the electrode model to negative, and set the polarity of the other target poles besides the negative pole to positive and / or empty, and deliver an electric pulse to the target electrode according to a reference applied voltage to obtain alternative electric field information corresponding to each target pole;

[0172] The information database construction module is configured to construct the electric field information database based on the candidate electric field information corresponding to each target pole in the electrode model shown.

[0173] Optionally, the alternative electric field determination module includes:

[0174] The correction coefficient determination unit is configured to determine the correction coefficient associated with each target pole and the brain tissue imaging model, wherein the correction coefficient is at least associated with the brain location where the electrode is implanted in the target object;

[0175] The alternative electric field determination unit is configured to determine the alternative electric field information of each target pole based on the reference applied voltage applied to each target pole and the correction coefficient.

[0176] Optionally, the correction factor includes at least one of the electrical conductivity and dielectric constant of the target brain tissue and electrode material parameters.

[0177] Optionally, the candidate electric field determination unit is configured as follows:

[0178] Based on the reference applied voltage applied to each target pole, the standard electric field information corresponding to each target pole is obtained;

[0179] Based on the correction coefficient corresponding to each target pole, the standard electric field information is corrected to obtain the candidate electric field information corresponding to the target pole.

[0180] Optionally, the simulated programmable electric field display device further includes:

[0181] The model simulation module is configured to acquire a simulated tissue model of the patient's brain tissue before determining the electric field information database of the single negative pole, and to implant at least one simulated electrode into the simulated tissue model to obtain the target simulation model;

[0182] An electrical pulse delivery module is configured to deliver electrical pulses to the simulated electrodes in the target simulation model according to a reference applied voltage, so as to obtain alternative electric field information corresponding to each target pole.

[0183] Optionally, the unit for determining the electric field to be combined is configured as follows:

[0184] Based on the target configuration category of the electrode configuration information, determine the electric field information lookup rules corresponding to the target configuration category;

[0185] According to the electric field information search rules, at least one electric field information to be combined corresponding to the electrode configuration information is found among the multiple candidate electric field information in the electric field information database.

[0186] Optionally, the target configuration category includes a single negative electrode category and / or a multiple negative electrode category, wherein the multiple negative electrode category includes adjacent negative electrode categories and / or non-adjacent negative electrode categories.

[0187] The analog-programmed electric field display device provided in this application embodiment can execute the stimulation electric field display method provided in any embodiment of this application, and has the corresponding functional modules for executing the method.

[0188] Example 4

[0189] Figure 6 illustrates a schematic diagram of an electronic device 10 that can be used to implement embodiments of this application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0190] As shown in Figure 6, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from the storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0191] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0192] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs several of the methods and processes described above, such as the stimulation electric field display method.

[0193] In some embodiments, the stimulation electric field display method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or mounted on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the stimulation electric field display method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the stimulation electric field display method by any other suitable means (e.g., by means of firmware).

[0194] The various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), systems-on-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0195] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0196] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, erasable programmable read-only memory (EPROM) or flash memory, optical fibers, compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0197] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a cathode ray tube (CRT) or liquid crystal display (LCD) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0198] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0199] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system. It addresses the shortcomings of traditional physical hosts and Virtual Private Server (VPS) services, such as high management difficulty and weak business scalability.

[0200] It should be understood that the various processes shown above can be used to rearrange, add, or delete steps. For example, the multiple steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

Claims

1. A method for displaying a stimulated electric field, comprising: In response to the model display operation, a target object and a corresponding brain tissue imaging model are determined, wherein the brain tissue imaging model includes at least one electrode model for deep brain stimulation. In response to an electrode configuration operation, electrode configuration information and stimulation parameter application information for each electrode model are determined, wherein each electrode model includes multiple target poles, and the electrode configuration information includes the target polarity of each target pole; In response to the electric field display operation, programmable electric field information of at least one of the electrode models is determined under the electrode configuration information and the stimulation parameter application information, and the programmable electric field information is displayed on the displayed brain tissue image model.

2. The method according to claim 1, wherein, The determination of the programmed electric field information of at least one of the electrode models under the electrode configuration information and the stimulation parameter application information includes: A single negative pole electric field information database is determined, wherein the electric field information database includes multiple candidate electric field information corresponding to the electrode model, and each candidate electric field information characterizes the distribution information of the simulated electric field generated by any target pole in the electrode model under the reference applied voltage on the brain tissue image model; At least one electric field information to be combined is determined from the electric field information database based on the electrode configuration information; Based on the stimulation parameter application information, a scaling parameter is determined for each of the electric field information to be combined. The programmable electric field information is determined based on the at least one electric field information to be combined and the scaling parameters corresponding to the at least one electric field information to be combined.

3. The method according to claim 2, wherein, Determining the programmable electric field information based on at least one of the electric field information to be combined and the scaling parameters corresponding to the at least one electric field information to be combined includes: For each of the electrode models, the actual electric field information of each target pole in the electrode model is determined based on at least one of the electric field information to be combined and the scaling parameter corresponding to each of the electric field information to be combined; Determine the positional relationship of the multiple target poles in the electrode model; Based on the positional relationship, the range union of multiple actual electric field information is performed to obtain the programmable electric field information corresponding to each electrode model.

4. The method according to claim 2, further comprising, before determining the electric field information database of a single negative pole: For each target pole of the electrode model, the polarity of the target pole is set to negative, and the polarity of the other target poles besides the negative pole is set to at least one of positive and empty poles. An electric pulse is delivered to the target electrode according to a reference applied voltage to obtain the alternative electric field information corresponding to each target pole. The electric field information database is constructed based on the candidate electric field information corresponding to each target pole in the electrode model.

5. The method according to claim 4, wherein, The step of delivering electrical pulses to the target electrodes according to a reference applied voltage to obtain candidate electric field information corresponding to each target pole includes: Determine a correction factor associated with each target pole and the brain tissue imaging model, wherein the correction factor is associated with at least the location in the brain where the electrode is implanted in the target object; The candidate electric field information for each target pole is determined based on the reference applied voltage and the correction factor applied to each target pole.

6. The method according to claim 5, wherein, The correction factor includes at least one of the electrical conductivity, dielectric constant, and electrode material parameters of the target brain tissue.

7. The method according to claim 5, wherein, The step of determining the candidate electric field information for each target pole based on the reference applied voltage and the correction coefficient includes: Based on the reference applied voltage applied to each target pole, the standard electric field information corresponding to each target pole is obtained; Based on the correction coefficient corresponding to each target pole, the standard electric field information is corrected to obtain the candidate electric field information corresponding to each target pole.

8. The method according to claim 2, further comprising, before determining the electric field information database of a single negative pole: A simulated tissue model of the patient's brain tissue was obtained, and at least one simulated electrode was implanted into the simulated tissue model to obtain the target simulated model; Electrical pulses are delivered to at least one simulated electrode in the target simulation model according to a reference applied voltage to obtain alternative electric field information corresponding to each target pole.

9. The method according to claim 2, wherein, The step of determining at least one electric field information to be combined from the electric field information database based on the electrode configuration information includes: Based on the target configuration category of the electrode configuration information, determine the electric field information lookup rules corresponding to the target configuration category; According to the electric field information search rules, at least one electric field information to be combined corresponding to the electrode configuration information is found among the multiple candidate electric field information in the electric field information database.

10. The method according to claim 9, wherein, The target configuration category includes at least one of a single negative electrode category and a multiple negative electrode category, wherein the multiple negative electrode category includes at least one of an adjacent negative electrode category and a non-adjacent negative electrode category.

11. A simulated programmable electric field display device, comprising: The model display module is configured to respond to the model display operation by determining the target object and the corresponding brain tissue image model, wherein the brain tissue image model includes at least one electrode model for deep brain stimulation. An electrode configuration module is configured to determine electrode configuration information and stimulation parameter application information for each electrode model in response to an electrode configuration operation, wherein each electrode model includes multiple target poles, and the electrode configuration information includes the target polarity of each target pole; An electric field display module is configured to, in response to an electric field display operation, determine the programmed electric field information of at least one of the electrode models under the electrode configuration information and the stimulation parameter application information, and display the programmed electric field information on the displayed brain tissue image model.

12. A neural stimulation system, comprising: Implantable medical devices are designed to be implanted into a patient's body. The stimulating electrode is designed to be implanted in the target nucleus of the patient's brain and is electrically connected to the implantable medical device. A programmable device, installed at the doctor's end, is configured to be programmably connected to the implantable medical device and send programmable commands to the implantable medical device to cause the implantable medical device to deliver electrical pulses to the stimulation electrode; The programmable device includes at least a programmable interface, a display interface, and a processor; The programmable interface is set to receive programmable operations from doctors; The processor responds to an input command received by the programmable interface that includes at least an electric field display, and executes the method described in any one of claims 1 to 10 to obtain electric field display information corresponding to the stimulation parameters input by the doctor; The display interface is configured to display the patient's brain tissue image model and the electric field model corresponding to the electric field display information.

13. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the stimulation electric field display method according to any one of claims 1-10.

14. A computer-readable storage medium storing computer instructions, said computer instructions being configured to cause a processor to execute the method for displaying a stimulating electric field as described in any one of claims 1-10.

15. A computer program product comprising a computer program that, when executed by a processor, implements the method for displaying a stimulating electric field according to any one of claims 1-10.

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