Methods, devices, equipment, media, and medical systems for determining electrical stimulation parameters

Abstract

This disclosure provides a method, apparatus, device, medium, and medical system for determining electrical stimulation parameters. The method includes: acquiring a three-dimensional brain model of a target user with at least one stimulating electrode implanted in the brain; determining at least one electrode contact combination corresponding to the target nucleus simulation model based on a first spatial location information of the target nucleus simulation model and a second spatial location information of the electrode simulation model; determining at least one set of candidate electrical stimulation parameters for the electrode contact combination based on the electrode contact combination and the target nucleus simulation model; determining the total stimulator power consumption of the candidate electrical stimulation parameters based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters; and determining at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total stimulator power consumption. This technical solution achieves the effect of accurately selecting recommended electrical stimulation parameters with low energy consumption and high stimulation effect based on the electrical stimulation power consumption.

Description

Technical Field

[0001] This disclosure relates to the field of information technology, and in particular to a method, apparatus, device, medium and medical system for determining electrical stimulation parameters. Background Technology

[0002] Deep brain stimulation (DBS) is an invasive neuromodulation technique. This technique involves implanting stimulating electrodes into specific neural structures in the brain using stereotactic surgery. A neurostimulator is then implanted within the body to connect to the electrodes, sending modulated and controllable weak electrical pulses. This alters the electrical activity and function of neural circuits and networks in the brain, thereby controlling and improving patient symptoms. With the development of deep brain stimulation technology, this technique has demonstrated significant value in the treatment of neurological diseases such as Parkinson's disease and epilepsy.

[0003] In related technologies, the selection of electrode combinations and electrical stimulation parameters usually relies on the doctor's experience or indirect imaging data.

[0004] However, the problems with the above methods are: they rely heavily on human experience, have low flexibility and accuracy in selecting electrode combinations and electrical stimulation parameters, and require multiple adjustments and trials of the electrical stimulation parameters. This parameter adjustment process consumes significant time and manpower, resulting in low adjustment efficiency and an increased risk of brain injury. Summary of the Invention

[0005] This disclosure provides a method, apparatus, device, medium, and medical system for determining electrical stimulation parameters, so as to achieve the effect of accurately selecting recommended electrical stimulation parameters with low energy consumption and high stimulation effect based on the power consumption of electrical stimulation.

[0006] According to a first aspect of this disclosure, embodiments of this disclosure provide a method for determining electrical stimulation parameters, the method comprising:

[0007] A three-dimensional brain model corresponding to a target user with at least one stimulating electrode implanted in the brain is obtained; wherein, the three-dimensional brain model includes at least a target brain nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode; the target brain nucleus is the brain nucleus with the stimulating electrode implanted;

[0008] Based on the first spatial location information of the target nucleus simulation model and the second spatial location information of the electrode simulation model corresponding to the target nucleus simulation model, at least one combination of electrode contacts corresponding to the target nucleus simulation model is determined; wherein, the combination of electrode contacts includes at least one target electrode contact; the target electrode contact is at least one of the electrode contacts that can release effective electrical stimulation to the target brain nucleus;

[0009] For at least one of the electrode contact combinations, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination is determined based on the electrode contact combination and the target nucleus simulation model;

[0010] For at least one set of candidate electrical stimulation parameters, the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration is determined based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters.

[0011] At least one set of target recommended electrical stimulation parameters is determined from multiple sets of candidate electrical stimulation parameters based on the total power consumption of the multiple stimulators.

[0012] According to a second aspect of this disclosure, embodiments of this disclosure also provide an electrical stimulation parameter determination device, the device comprising:

[0013] A brain model acquisition module is used to acquire a three-dimensional brain model corresponding to a target user whose brain has been implanted with at least one stimulation electrode; wherein, the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulation electrode; the target brain nucleus is the brain nucleus on which the stimulation electrode has been implanted;

[0014] The contact combination determination module is used to determine at least one electrode contact combination corresponding to the target nucleus simulation model based on the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model corresponding to the target nucleus simulation model; wherein, the electrode contact combination includes at least one target electrode contact; the target electrode contact is at least one of the electrode contacts that can release effective electrical stimulation to the target brain nucleus;

[0015] The candidate parameter determination module is used to determine at least one set of candidate electrical stimulation parameters corresponding to at least one of the electrode contact combinations, based on the electrode contact combination and the target nucleus model.

[0016] The total power consumption determination module is used to determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration, based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters, for at least one set of candidate electrical stimulation parameters.

[0017] The target parameter determination module is used to determine at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators.

[0018] According to a third aspect of this disclosure, embodiments of this disclosure also provide an electronic device, the electronic device comprising:

[0019] At least one processor; and

[0020] A memory communicatively connected to the at least one processor; wherein,

[0021] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the electrical stimulation parameter determination method according to any embodiment of this disclosure.

[0022] According to a fourth aspect of this disclosure, embodiments of this disclosure also provide a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the method for determining electrical stimulation parameters according to any embodiment of this disclosure.

[0023] According to a fifth aspect of this disclosure, embodiments of this disclosure also provide a medical system, the medical system comprising:

[0024] An implantable medical device, comprising at least a stimulator implanted in the body of a target user and an electrode wire implanted in the brain of the target user, wherein the implanted end of the electrode wire is provided with at least a plurality of electrode contacts, and the stimulator is connected to the electrode wire.

[0025] A programmable device for displaying at least one target recommended electrical stimulation parameter, and for sending the target electrical stimulation parameter to the stimulator;

[0026] The processor is configured to acquire a three-dimensional brain model corresponding to a target user whose brain has at least one stimulating electrode implanted, and execute the electrical stimulation parameter determination method described in any embodiment of the present disclosure to determine at least one target recommended electrical stimulation parameter, so that the stimulator applies electrical stimulation to the electrode contact according to the target recommended electrical stimulation parameter.

[0027] The technical solution of this disclosure provides a simulation basis for determining electrical stimulation parameters by acquiring a three-dimensional brain model of a target user with at least one stimulating electrode implanted in the brain. Furthermore, since the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode, it provides a simulation basis for subsequent electric field simulation using the three-dimensional brain model. Further, based on the first spatial location information of the target nucleus simulation model and the second spatial location information of the electrode simulation model corresponding to the target nucleus simulation model, at least one electrode contact combination corresponding to the target nucleus simulation model is determined. This electrode contact combination includes at least one target electrode contact, ensuring that the stimulation energy of each electrode contact combination accurately covers the target area and eliminates interference from invalid contacts, while also providing a precise stimulation carrier for generating effective and low-energy-consumption electrical stimulation parameters. Furthermore, by targeting at least one combination of electrode contacts, and based on the electrode contact combination and the target nucleus simulation model, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination is determined. This ensures that the electric field corresponding to each set of candidate electrical stimulation parameters can accurately cover the target area and has stimulation effectiveness, while also eliminating invalid parameters in advance, avoiding redundancy in subsequent power consumption calculations, and laying the foundation for the subsequent selection of low-energy-consumption optimal parameters. Further, by targeting at least one set of candidate electrical stimulation parameters, and based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters, the total stimulator power consumption corresponding to the candidate electrical stimulation parameters within a preset duration is determined. Then, based on multiple total stimulator power consumption values, at least one set of target recommended electrical stimulation parameters is determined from multiple sets of candidate electrical stimulation parameters. This ensures that the target recommended electrical stimulation parameters accurately target the brain nucleus with effective stimulation and low energy consumption, achieving the technical effect of extending stimulator endurance while improving the accuracy and stimulation effect of electrical stimulation. The technical solution of this disclosure solves the technical problems of low flexibility and accuracy in selecting electrical stimulation parameters and low efficiency in parameter adjustment in related technologies. It achieves the effect of accurately selecting recommended electrical stimulation parameters with low energy consumption and high stimulation effect based on the power consumption of electrical stimulation. This not only improves the flexibility and accuracy of parameter selection, but also extends the stimulator's battery life through low energy consumption optimization, significantly improves parameter adjustment efficiency, and enhances the user's electrical stimulation experience.

[0028] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of the stimulation electrode involved in the embodiments of this disclosure;

[0031] Figure 2 This is a flowchart of a method for determining electrical stimulation parameters according to Embodiment 1 of this disclosure;

[0032] Figure 3 This is a flowchart of a method for determining electrical stimulation parameters according to Embodiment 2 of this disclosure;

[0033] Figure 4 This is a flowchart of a method for determining electrical stimulation parameters according to Embodiment 3 of this disclosure;

[0034] Figure 5 This is a schematic diagram of an electrical stimulation parameter determination device provided according to Embodiment 4 of this disclosure;

[0035] Figure 6 This is a schematic diagram of the structure of an electronic device that implements the method for determining electrical stimulation parameters according to the embodiments of this disclosure;

[0036] Figure 7 This is a schematic diagram of the structure of a programmable device according to Embodiment Six of this disclosure;

[0037] Figure 8 This is a schematic diagram of a programmable interface provided according to Embodiment Six of this disclosure;

[0038] Figure 9 This is a schematic diagram of a medical system provided according to Embodiment Seven of this disclosure. Detailed Implementation

[0039] To enable those skilled in the art to better understand the present disclosure, the technical solutions of the present disclosure will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present disclosure, and not all embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present disclosure.

[0040] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0041] Before introducing this technical solution, one application area (i.e., implantable devices) of this application embodiment will be described by way of example. Implantable devices mainly include a stimulator (or pulse generator), electrode leads, and a programmable device (or medical device). The stimulator is implanted into the patient's body (e.g., inside the chest cavity, skull, etc.). The electrode leads are connected to the stimulator at one end subcutaneously and to the stimulation electrode at the other end. The stimulation electrode is partially implanted into the target site in the patient's brain (e.g., nuclei or neural tissue associated with the disease). See the schematic diagram of the stimulation electrode. Figure 1 ,like Figure 1 As shown, the stimulation electrode includes at least one metal contact for outputting a stimulation source. These metal contacts can be annular or directional electrodes composed of multiple segmented electrode contacts. The stimulator transmits stimulation parameters to at least one metal contact in the stimulation electrode through electrode wires, thereby releasing electrical stimulation to the target point through the metal contacts to achieve the effect of stimulating the target point to treat the patient's condition. The programmable control device communicates with the stimulator, generally referring to a doctor-side programmable control device. The doctor selects the metal contact combination and the corresponding electrical stimulation parameters through the programmable control device and sends the corresponding electrical stimulation treatment to the stimulator. This embodiment aims to determine the electrode contact combination to be used to release stimulation to the target point and the candidate electrical stimulation parameters corresponding to the electrode contact combination based on the corresponding three-dimensional brain model for different users of brain implanted electrodes. Furthermore, the target recommended electrical stimulation parameters are selected from the candidate electrical stimulation parameters based on the total power consumption of the stimulator.

[0042] Example 1

[0043] Figure 2 This is a flowchart of a method for determining electrical stimulation parameters according to Embodiment 1 of this disclosure. This embodiment is applicable to any situation requiring the determination of recommended electrical stimulation parameters in deep brain stimulation applications. This method can be executed by an electrical stimulation parameter determining device, which can be implemented in hardware and / or software, and can be configured in a terminal and / or server. Figure 2 As shown, the method includes:

[0044] S110. Obtain a three-dimensional brain model corresponding to the target user whose brain has been implanted with at least one stimulating electrode; wherein the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode.

[0045] The target user can be a user whose brain has at least one implanted stimulation electrode, and who is about to receive electrical stimulation from that electrode. The target user already has one or more implanted stimulation electrodes. The stimulation electrode is understood to be a core component of a deep brain stimulation (DBS) system, surgically implanted into the target user's brain. One end connects to the stimulator inside the body, and the other end (the implanted end) has multiple electrode contacts for delivering electrical stimulation signals to the target brain nuclei. The stimulation electrode may include at least one electrode contact, which can be a ring electrode, a patch electrode, or a combination of both. The location and number of electrode contacts directly affect the coverage area of ​​the electrical stimulation.

[0046] The three-dimensional brain model can refer to a digital simulation model constructed using three-dimensional reconstruction technology based on medical imaging data. This simulation model can intuitively reflect the spatial relationship between the brain's anatomical structure and the stimulating electrodes. In this embodiment, the three-dimensional brain model can be a three-dimensional simulation model constructed based on the brain with implanted stimulating electrodes. The three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrodes. The target brain nucleus can be the brain nucleus with implanted stimulating electrodes, which can be a specific brain region requiring surgical intervention. The target brain nucleus can be a target point for applying electrical stimulation. The target brain nucleus can be associated with the type of disease suffered by the target user. For example, if the target user has Parkinson's disease, the target brain nucleus is usually the subthalamic nucleus; if the target user has epilepsy, the target brain nucleus is usually the amygdala. The target nucleus simulation model can refer to a digital sub-model in the three-dimensional brain model that can accurately reflect the three-dimensional spatial contour, location range, and anatomical boundaries of the target brain nucleus. The target nucleus simulation model is a three-dimensional simulation model built based on the target brain nucleus. The electrode simulation model can be a digital sub-model within the three-dimensional brain model that accurately reflects the overall structure and geometry of the stimulating electrode. The contact point simulation model can be a digital sub-model within the electrode simulation model that corresponds to each actual electrode contact point on the stimulating electrode; it is a concrete representation of the electrode contact point in the simulation model.

[0047] It should be noted that the 3D brain model must include at least a simulation model of the target brain nucleus corresponding to the target brain nucleus. That is, the 3D brain model can be a 3D simulation model representing the entire brain structure of the target user; or, the 3D brain model can be a 3D simulation model representing only the structure of the target brain nucleus, i.e., it only includes a simulation model of the target brain nucleus corresponding to the target brain nucleus.

[0048] It should also be noted that the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulation electrode. This indicates that the target nucleus simulation model and the electrode simulation model are in the same spatial coordinate system to ensure the accuracy of the position comparison.

[0049] In this embodiment, before acquiring a three-dimensional brain model corresponding to a target user with at least one stimulating electrode implanted in their brain, brain imaging data corresponding to the target user can be acquired first. Then, a three-dimensional brain model can be constructed based on the brain imaging data.

[0050] Based on the above technical solutions, the method further includes: acquiring brain imaging data corresponding to a target user whose brain has at least one stimulating electrode implanted; constructing a brain simulation model based on the brain imaging data; wherein the brain simulation model includes a target nucleus simulation model corresponding to a target brain nucleus; for at least one stimulating electrode, determining the electrode implantation information of the stimulating electrode in the target user's brain based on the brain imaging data, and constructing an electrode simulation model corresponding to the stimulating electrode based on the electrode implantation information and the electrode attribute information of the stimulating electrode; and performing model registration between the brain simulation model and at least one electrode simulation model to obtain a three-dimensional brain model corresponding to the target user.

[0051] Brain imaging data refers to raw digital data acquired through medical imaging equipment that reflects the anatomical structure of the target user's brain and the spatial location of the stimulating electrodes. Specifically, it can be post-operative imaging data obtained after scanning the target user's brain with medical imaging equipment following the implantation of at least one stimulating electrode; this data can be multimodal fusion data, typically including brain MRI and brain CT images. Generally, post-operative imaging data is typically a post-operative brain CT image because: with metal stimulating electrodes already implanted, using MRI to acquire brain images could easily cause the metal contacts on the stimulating electrodes to overheat, potentially leading to brain damage.

[0052] A brain simulation model refers to a simulation model that digitally reproduces the brain's anatomical structure, constructed using image segmentation and 3D reconstruction techniques based on the target user's brain imaging data. Essentially, a brain simulation model is a 3D brain simulation model built upon brain imaging data. Brain simulation models include target nucleus simulation models corresponding to the target brain nucleus, and may also include simulation models corresponding to other brain nuclei, cerebrospinal fluid, gray matter, white matter, and cortical tissue. A brain simulation model can have a defined 3D coordinate system (such as a world coordinate system with skull landmarks as the origin), which can quantitatively describe the spatial location and extent of each tissue.

[0053] Electrode implantation information refers to quantitative information extracted from the target user's brain imaging data, reflecting the actual implantation state of the stimulating electrode in their brain. Optionally, electrode implantation information may include electrode implantation location, contact point distribution information, and electrode implantation posture. Electrode implantation location refers to the positional information of the stimulating electrode within the target user's skull. The electrode implantation location may include the three-dimensional coordinates and implantation depth of the stimulating electrode within the skull. Contact point distribution information can be used to characterize the distribution of electrode contacts on the stimulating electrode. Contact point distribution information may include the three-dimensional position of each electrode contact and the spacing between contacts. Electrode implantation posture refers to the orientation of the stimulating electrode within the target user's skull. The electrode implantation posture may include the implantation angle of the stimulating electrode within the skull and the orientation of the electrode contacts relative to the target brain nuclei. Electrode implantation information can serve as the spatial basis for constructing an electrode simulation model, ensuring that the electrode simulation model can reproduce the actual implantation state of the stimulating electrode in the brain.

[0054] Electrode attribute information refers to the inherent, pre-defined physical and electrical characteristics of the stimulation electrode itself; these are its inherent properties. Optionally, electrode attribute information includes geometric attributes, material attributes, electrical attributes, and structural attributes. Geometric attributes may include the diameter and length of the stimulation electrode, as well as the type and size of the electrode contacts. Material attributes may include the main material of the stimulation electrode, the material of the contacts, and their physical parameters. Electrical attributes may include the maximum tolerance of the electrode contacts. Structural attributes may include the number of contacts and their arrangement.

[0055] In one embodiment, after stimulating electrodes are implanted in the brain of a target user, the brain can be scanned using CT technology to obtain brain imaging data corresponding to the target user with at least one stimulating electrode implanted. Further, the brain structure can be reconstructed in three dimensions based on the brain imaging data to obtain a brain simulation model corresponding to the target user, which includes a simulation model of the target nucleus. Further, for at least one stimulating electrode, its implantation information in the brain can be analyzed from the brain imaging data, and its electrode attribute information can be obtained. Then, the stimulating electrode can be reconstructed in three dimensions based on the electrode input information and electrode attribute information to obtain an electrode simulation model corresponding to the stimulating electrode. Further, using anatomical landmarks of the brain as a reference, a spatial coordinate transformation algorithm is used to register the brain simulation model and the electrode simulation model to the same coordinate system, eliminating spatial deviations caused by modal differences, and finally obtaining a three-dimensional brain model that accurately integrates the spatial relationship between the target user's brain anatomical structure and the stimulating electrode.

[0056] In another embodiment, after obtaining the brain simulation model, the brain simulation model can be segmented to extract the target nucleus simulation model corresponding to the target brain nucleus. Furthermore, after constructing the electrode simulation model, the target nucleus simulation model and the electrode simulation model can be registered to the same coordinate system using a spatial coordinate transformation algorithm to obtain a three-dimensional brain model.

[0057] S120. Based on the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model corresponding to the target nucleus simulation model, determine at least one electrode contact combination corresponding to the target nucleus simulation model; wherein, the electrode contact combination includes at least one target electrode contact.

[0058] It should be noted that the target user's intracranial space may include at least one target brain nucleus that requires electrical stimulation. Each target brain nucleus may have at least one stimulation electrode implanted. The treatment of each target brain nucleus and each stimulation electrode is the same. The following explanation will be based on the example of a target user's intracranial space containing one target brain nucleus and one stimulation electrode implanted in that target brain nucleus.

[0059] The first spatial location information can refer to a set of parameters used to quantitatively describe the spatial location and range of the target nucleus simulation model in the three-dimensional coordinate system of the brain. The first spatial location information may include at least one of the following: the three-dimensional coordinate range of the target nucleus simulation model, the coordinates of its geometric center, and the point cloud data of its boundary contour. The second spatial location information can refer to a set of parameters used to quantitatively describe the specific location of each touch point simulation model in the three-dimensional coordinate system of the brain. The second spatial location information may include at least one of the following: the three-dimensional coordinates of the touch point center, the coordinate range of the touch point edge, and the straight-line distance between the touch point and the geometric center of the target nucleus simulation model.

[0060] In this context, a target electrode contact can refer to an electrode contact selected from all electrode contacts included in the stimulating electrodes implanted in the target brain nucleus, which is intended to release electrical stimulation to the target brain nucleus. A target electrode contact can be an electrode contact whose released electrical stimulation can directly and effectively act on the target area of ​​the target brain nucleus. An electrode contact combination can refer to a set of one or more target electrode contacts used for synergistic release of electrical stimulation (such as single-contact stimulation, multi-contact combined stimulation, etc.).

[0061] In this embodiment, for at least one target nucleus simulation model in a three-dimensional brain model, first spatial location information of the target nucleus simulation model can be obtained, and second spatial location information of the electrode simulation model inserted into the target nucleus simulation model can be obtained. Further, the second spatial location information can be compared with the first spatial location information. If the touch simulation model meets a preset stimulation standard, the electrode touch corresponding to the trigger simulation model can be used as the target electrode touch. Thus, at least one target electrode touch can be obtained. Further, at least one combination of electrode touches can be determined based on the at least one target electrode touch.

[0062] The preset stimulus criteria may include the contact point simulation model being located within the target nucleus simulation model, or the distance between the geometric centers of the contact point simulation model and the target nucleus simulation model being less than a preset distance threshold.

[0063] S130. For at least one combination of electrode contacts, determine at least one set of candidate electrical stimulation parameters corresponding to the combination of electrode contacts based on the electrode contact combination and the target nucleus simulation model.

[0064] The candidate electrical stimulation parameters can be electrical stimulation parameters corresponding to the electrode contact combination that can effectively generate electrical stimulation to the target brain nuclei. In other words, by applying the candidate electrical stimulation parameters to the target electrode contacts included in the electrode contact combination, effective electrical stimulation can be generated to the target brain nuclei. It can be understood that the electrical stimulation parameters can include at least one of the following: frequency (e.g., the number of electrical stimulation pulse signals per second); pulse width (the duration of each pulse); amplitude (generally expressed as voltage, i.e., the intensity of each pulse); timing (e.g., continuous or triggered); stimulation mode (including one or more of current mode, voltage mode, timed stimulation mode, and cyclic stimulation mode); physician control upper and lower limits (the range that the physician can adjust); patient control upper and lower limits (the range that the patient can adjust independently).

[0065] In this embodiment, for at least one electrode contact combination, electric field simulation and three-dimensional electric field reconstruction can be performed based on the physical characteristics of at least one target electrode contact included in the electrode contact combination to obtain a three-dimensional electric field model corresponding to at least one set of electrical stimulation parameters. Further, for at least one set of electrical stimulation parameters, the three-dimensional electric field model corresponding to the electrical stimulation parameters can be compared with the target nucleus simulation model. If the three-dimensional electric field model meets preset effective stimulation conditions, this set of electrical stimulation parameters can be used as candidate electrical stimulation parameters. Thus, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination can be obtained. Furthermore, at least one set of candidate electrical stimulation parameters corresponding to each electrode contact combination can be obtained.

[0066] Optionally, based on the electrode contact combination and the target nucleus simulation model, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination is determined, including: for each electrode contact combination, determining multiple sets of electrical stimulation parameters corresponding to the electrode contact combination; generating an electric field distribution model corresponding to each set of electrical stimulation parameters based on the three-dimensional brain model; determining the spatial overlap between the multiple electric field distribution models and the target nucleus simulation model respectively; and determining at least one set of candidate electrical stimulation parameters from the multiple sets of electrical stimulation parameters based on the multiple spatial overlaps.

[0067] The multiple sets of electrical stimulation parameters can be selected from the corresponding range of electrical stimulation parameters according to preset parameter selection rules. Optionally, the multiple sets of electrical stimulation parameters can be determined based on pre-determined baseline electrical stimulation parameters and preset step sizes. The electric field distribution model can refer to a three-dimensional electric field model corresponding to the electrical stimulation parameters, which can reflect the spatial distribution of electrical stimulation energy under those parameters. Spatial repeatability refers to the volume ratio of the overlapping area between a single electric field distribution model and the target nucleus simulation model in three-dimensional space, and is a core quantitative indicator for judging the effectiveness of the electrical stimulation parameters.

[0068] In this embodiment, for each electrode contact combination, multiple sets of electrical stimulation parameters corresponding to the electrode contact combination are determined according to preset parameter selection rules. Furthermore, electric field model generation parameters can be determined based on the three-dimensional brain model and the electrode contact combination. Then, based on the electric field model generation parameters and the multiple sets of electrical stimulation parameters, the electric field distribution model corresponding to each set of electrical stimulation parameters can be determined. Here, the electric field model generation parameters can be understood as the parameters required to generate the electric field distribution model.

[0069] Optionally, based on the three-dimensional brain model, an electric field distribution model corresponding to each set of electrical stimulation parameters is generated, including: determining a reference electric field distribution model corresponding to the electrode contact combination based on the three-dimensional brain model; wherein the reference electric field distribution model corresponds to the reference electrical stimulation parameters; and determining the electric field distribution model corresponding to each set of electrical stimulation parameters for the electrode contact combination based on the reference electric field distribution model; wherein each set of electrical stimulation parameters is determined based on the reference electrical stimulation parameters and a preset step size.

[0070] The reference electric field distribution model can refer to a three-dimensional electric field model generated by electric field simulation technology under reference electrical stimulation parameters for a specific combination of electrode contacts. This three-dimensional electric field model can reflect the spatial distribution of electrical stimulation energy of the electrode contact combination under the reference electrical stimulation parameters. Optionally, the electric field simulation technology can include finite element simulation technology or other technologies that can support electric field simulation. The reference electrical stimulation parameters can refer to the initial reference electrical stimulation parameters used to generate the reference electric field distribution model, which are the starting point for subsequent parameter adjustments. The reference electrical stimulation parameters serve as the anchor point for parameter adjustments, and subsequent sets of electrical stimulation parameters are all based on these parameters and changed at preset step sizes, ensuring the continuity and comparability of parameter adjustments. For example, the reference electrical stimulation parameters can be: amplitude 1V, frequency 130Hz, and pulse width 60μs.

[0071] The preset step size refers to the fixed interval at which the electrical stimulation parameters are adjusted when generating multiple sets of electrical stimulation parameters. At least some of the electrical stimulation parameters can be adjusted based on the preset step size; optionally, the amplitude can be adjusted according to the preset step size, for example, 0.05V. The preset step size can be used to control the generation density of multiple sets of electrical stimulation parameters, balancing screening accuracy and computational efficiency. For example, assuming the baseline stimulation amplitude in the baseline electrical stimulation parameters is 1 volt and the preset step size is 0.05V, then starting from the baseline stimulation amplitude, multiple stimulation amplitudes of 1V, 1.05V, 1.1V…, 12.75V can be generated in increments of 0.05V, combined with the baseline stimulation frequency and pulse width in the baseline electrical stimulation parameters to form multiple sets of electrical stimulation parameters.

[0072] In one embodiment, for at least one combination of electrode contacts, reference electrical stimulation parameters corresponding to the combination of electrode contacts can be determined. Finite element simulation technology is used to process the second spatial position information of the three-dimensional brain model, the reference electrical stimulation parameters, and the simulation model of the contact corresponding to the target electrode contacts included in the combination of electrode contacts, to obtain a reference electric field distribution model corresponding to the combination of electrode contacts. Further, multiple sets of electrical stimulation parameters can be determined based on a preset step size and the reference electrical stimulation parameters, and the electric field distribution point cloud corresponding to each set of electrical stimulation parameters can be determined separately. Then, for the multiple sets of electrical stimulation parameters, three-dimensional reconstruction technology can be used to perform three-dimensional reconstruction of the electric field distribution point cloud corresponding to the electrical stimulation parameters to obtain an electric field distribution model corresponding to that set of electrical stimulation parameters. Thus, multiple electric field distribution models can be obtained. Further, for the multiple electric field distribution models, the model intersection volume can be determined based on the first model volume of the electric field distribution model and the second model volume of the target nucleus simulation model. Further, the ratio between the model intersection volume and the second model volume can be determined to obtain the spatial overlap corresponding to the electric field distribution model. Furthermore, at least one set of candidate electrical stimulation parameters is determined from multiple sets of electrical stimulation parameters based on multiple spatial overlap degrees.

[0073] Optionally, at least one set of candidate electrical stimulation parameters can be determined from multiple sets of electrical stimulation parameters based on multiple spatial overlaps, including: using the electrical stimulation parameters corresponding to the electric field distribution model with a spatial overlap greater than a preset overlap threshold as candidate electrical stimulation parameters.

[0074] The preset overlap threshold can refer to a pre-set minimum standard for determining whether spatial overlap meets the requirements; it serves as the passing line for screening effective electrical stimulation parameters. Optionally, the preset overlap threshold can be 80%.

[0075] In one embodiment, for multiple electric field distribution models, the spatial overlap corresponding to the electric field distribution model can be compared with a preset overlap threshold. If the spatial overlap is greater than the preset overlap threshold, the electrical stimulation parameters corresponding to the electric field distribution model can be used as candidate electrical stimulation parameters. Furthermore, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination can be obtained.

[0076] S140. For at least one set of candidate electrical stimulation parameters, determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration based on the preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters.

[0077] It should be noted that the electrode contact combination associated with the target nucleus model can include one or more, and the processing method for each electrode contact combination is consistent. The following explanation uses one electrode contact combination as an example.

[0078] The total power consumption quantification model for the stimulator can be a pre-built mathematical model or algorithmic framework that quantifies the total power consumption of the stimulator during operation based on electrical stimulation parameters and stimulator hardware characteristics. Based on the total power consumption quantification model and candidate electrical stimulation parameters, the total power consumption when the stimulator connected to the stimulation electrodes operates using the candidate electrical stimulation parameters can be determined. The total power consumption of the stimulator can refer to the total energy consumption value of the stimulator within a preset operating time interval, determined by inputting the candidate electrical stimulation parameters into the total power consumption quantification model. The preset time interval can be any duration, selectable, such as one day, one week, or one month.

[0079] In practical applications, the stimulator is powered by a battery. The battery capacity of the stimulator itself is limited, and the energy consumption varies depending on different combinations of electrode contacts and the different electrical stimulation parameters corresponding to each electrode contact combination. Generally, when determining recommended electrical stimulation parameters, reducing energy consumption is not usually a condition for setting these parameters. Doing so might increase ineffective battery drain, reduce the stimulator's usage time, or increase charging frequency, thus degrading the user experience for the target user.

[0080] To address the above issues, in this embodiment, the total power consumption of the stimulator can be used as a condition for determining the recommended electrical stimulation parameters. Having obtained at least one set of candidate electrical stimulation parameters, the total power consumption of the stimulator corresponding to each candidate electrical stimulation parameter within a preset duration can be determined based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters. Furthermore, the target recommended electrical stimulation parameters can be determined from at least one set of candidate electrical stimulation parameters based on the total power consumption of the stimulator.

[0081] S150. Determine at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators.

[0082] Among them, the target recommended electrical stimulation parameters can be the preferred electrical stimulation parameters that meet the preset stimulator power consumption standard selected from multiple sets of candidate electrical stimulation parameters.

[0083] In this embodiment, after obtaining multiple candidate electrical stimulation parameters corresponding to at least one electrode contact combination, the total power consumption of the stimulator corresponding to all candidate electrical stimulation parameters can be screened or sorted according to a pre-set power consumption threshold or sorting rule. Finally, one or more sets of candidate electrical stimulation parameters with lower total power consumption and / or total power consumption exceeding the critical value are selected as the target recommended electrical stimulation parameters, ensuring that the recommendation results meet both the principle of low energy consumption and have high clinical efficacy.

[0084] Optionally, at least one set of target recommended electrical stimulation parameters is determined from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators, including at least one of the following: taking the candidate electrical stimulation parameters corresponding to the total power consumption of multiple stimulators that is less than a preset power consumption threshold as the target recommended electrical stimulation parameters; arranging the total power consumption of multiple stimulators in ascending order, and taking the candidate electrical stimulation parameters corresponding to the preset number of total power consumption of stimulators at the top as the target recommended electrical stimulation parameters.

[0085] The preset power consumption threshold can be a pre-set upper limit value used to determine whether the energy consumption of candidate electrical stimulation parameters meets the standard. The preset power consumption threshold can be determined based on a combination of stimulator battery capacity, user endurance requirements, and clinical experience, or it can be a user-defined setting. The preset power consumption threshold can be different for different types of stimulators. That is, the preset power consumption threshold corresponds to the specific stimulator. The preset quantity refers to the number of low-energy parameter groups that need to be retained after sorting. Optionally, the preset quantity can be 1, 3, or 5, etc.

[0086] In one embodiment, after obtaining the total power consumption of multiple stimulators, the total power consumption of the multiple stimulators is compared with a preset power consumption threshold to determine the numerical relationship between the two values. Further, if it is determined that the total power consumption of the stimulators is less than the preset power consumption threshold, the candidate electrical stimulation parameters corresponding to that total power consumption can be used as the target recommended electrical stimulation parameters.

[0087] In another embodiment, after obtaining the total power consumption of multiple stimulators, the total power consumption of the multiple stimulators can be sorted in ascending order from smallest to largest. Further, a preset number of total power consumption values ​​from the top of the list can be selected, and the candidate electrical stimulation parameters corresponding to the selected total power consumption values ​​can be used as the target recommended electrical stimulation parameters.

[0088] In some embodiments of this disclosure, threshold judgment can be combined with ascending sorting to combine multiple conditions for determining electrical stimulation parameters, thereby better meeting the needs of low-energy consumption scenarios. For example, the total power consumption of multiple stimulators that is less than a preset power consumption threshold is selected as the power consumption to be selected; the multiple power consumptions to be selected are arranged in ascending order, and the candidate electrical stimulation parameters corresponding to the preset number of power consumptions to be selected at the top are selected as the target recommended electrical stimulation parameters.

[0089] In this embodiment, after determining at least one set of target recommended electrical stimulation parameters, in order to enable the determined target recommended electrical stimulation parameters to serve as a reference for performing electrical stimulation operations, the target recommended electrical stimulation parameters can also be visualized so that the user performing the electrical stimulation operation can determine the final target electrical stimulation parameters to be applied based on the displayed target recommended electrical stimulation parameters.

[0090] Based on the above technical solutions, the method further includes: displaying at least one target recommended electrical stimulation parameter in the target interface; and determining the target electrical stimulation parameter based on the at least one target recommended electrical stimulation parameter and the parameter editing operation received through the target interface.

[0091] The target interface can refer to a visual interactive interface used to display the recommended electrical stimulation parameters and receive interactive operations. The target interface may include a display area and operation controls. The display area can be used to display the recommended electrical stimulation parameters, the corresponding electrode contact combinations, the polarity information of the electrode contact combinations, a three-dimensional model of the brain, and the electric field distribution model corresponding to the recommended electrical stimulation parameters. The operation controls can be used to select electrode contact combinations, configure electrical stimulation parameters, and send stimulation parameters. The target interface can include any interface that supports the display and reception of recommended electrical stimulation parameters, optionally including the programmable interface of a programmable device. It can be understood that the programmable device refers to a dedicated external device used by doctors to communicate with the implanted stimulator. The programmable device can establish a connection with the implanted stimulator via wired or wireless means to achieve electrical stimulation parameter transmission. The programmable device includes a programmable interface. The programmable interface can refer to a visual interactive interface set on the programmable device, directly used for parameter setting. Parameter editing operations can be interactive operations such as modification and confirmation of the recommended electrical stimulation parameters on the target interface.

[0092] In one embodiment, after obtaining at least one set of target recommended electrical stimulation parameters, these parameters can be displayed on the target interface. Furthermore, upon receiving a parameter editing operation inputting the target recommended electrical stimulation parameters through the target interface, the target electrical stimulation parameters can be determined based on the target recommended electrical stimulation parameters and the parameter editing operation, and used as the electrical stimulation parameters for the stimulator to be sent to the target user.

[0093] The technical solution of this disclosure provides a simulation basis for determining electrical stimulation parameters by acquiring a three-dimensional brain model of a target user with at least one stimulating electrode implanted in the brain. Furthermore, since the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode, it provides a simulation basis for subsequent electric field simulation using the three-dimensional brain model. Further, based on the first spatial location information of the target nucleus simulation model and the second spatial location information of the electrode simulation model corresponding to the target nucleus simulation model, at least one electrode contact combination corresponding to the target nucleus simulation model is determined. This electrode contact combination includes at least one target electrode contact, ensuring that the stimulation energy of each electrode contact combination accurately covers the target area and eliminates interference from invalid contacts, while also providing a precise stimulation carrier for generating effective and low-energy-consumption electrical stimulation parameters. Furthermore, by targeting at least one combination of electrode contacts, and based on the electrode contact combination and the target nucleus simulation model, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination is determined. This ensures that the electric field corresponding to each set of candidate electrical stimulation parameters can accurately cover the target area and has stimulation effectiveness, while also eliminating invalid parameters in advance, avoiding redundancy in subsequent power consumption calculations, and laying the foundation for the subsequent selection of low-energy-consumption optimal parameters. Further, by targeting at least one set of candidate electrical stimulation parameters, and based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters, the total stimulator power consumption corresponding to the candidate electrical stimulation parameters within a preset duration is determined. Then, based on multiple total stimulator power consumption values, at least one set of target recommended electrical stimulation parameters is determined from multiple sets of candidate electrical stimulation parameters. This ensures that the target recommended electrical stimulation parameters accurately target the brain nucleus with effective stimulation and low energy consumption, achieving the technical effect of extending stimulator endurance while improving the accuracy and stimulation effect of electrical stimulation. The technical solution of this disclosure solves the technical problems of low flexibility and accuracy in selecting electrical stimulation parameters and low efficiency in parameter adjustment in related technologies. It achieves the effect of accurately selecting recommended electrical stimulation parameters with low energy consumption and high stimulation effect based on the power consumption of electrical stimulation. This not only improves the flexibility and accuracy of parameter selection, but also extends the stimulator's battery life through low energy consumption optimization, significantly improves parameter adjustment efficiency, and enhances the user's electrical stimulation experience.

[0094] Example 2

[0095] Figure 3 This is a flowchart of a method for determining electrical stimulation parameters according to Embodiment 2 of this disclosure. Based on the foregoing embodiments, S120 is further refined, and its specific implementation can be found in the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here. Figure 3 As shown, the method includes:

[0096] S210. Obtain a three-dimensional brain model corresponding to the target user whose brain has been implanted with at least one stimulating electrode; wherein, the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode; the electrode simulation model includes at least one contact simulation model corresponding to an electrode contact located on the stimulating electrode.

[0097] S220. Based on the three-dimensional model of the brain, determine the first spatial location information of the target nucleus simulation model and the second spatial location information of at least one contact point simulation model on the electrode simulation model corresponding to the target nucleus simulation model.

[0098] In this embodiment, after obtaining the three-dimensional brain model, a target nucleus simulation model and an electrode simulation model corresponding to the implanted stimulating electrode can be determined. Furthermore, the first spatial position information of the target nucleus simulation model and the second spatial position information of at least one contact point simulation model on the electrode simulation model can be determined based on the three-dimensional coordinate system corresponding to the three-dimensional brain model.

[0099] S230. Based on the first spatial position information and at least one second spatial position information, determine at least one target electrode contact from at least one electrode contact.

[0100] In this embodiment, after determining the first spatial location information of the target nucleus simulation model and the second spatial information of at least one contact simulation model, for the at least one contact simulation model, it can be determined whether the contact simulation model meets the preset stimulation criteria based on the second spatial information and the first spatial information of the contact simulation model. Furthermore, if it is determined that the trigger simulation model meets the preset stimulation criteria, the electrode contact corresponding to the contact simulation model can be used as the target electrode contact.

[0101] Optionally, determining at least one target electrode contact from at least one electrode contact based on first spatial location information and at least one second spatial location information includes: for at least one contact simulation model, determining whether the contact simulation model is located in a target nucleus simulation model based on the second spatial location information and first spatial location information of the contact simulation model; if the contact simulation model is located in the target nucleus simulation model, determining the electrode contact corresponding to the contact simulation model as the target electrode contact, thereby obtaining at least one target electrode contact.

[0102] In one embodiment, for at least one contact simulation model, the center coordinates of the contact point in the second spatial information of the contact simulation model and the coordinate range of the nucleus outline in the first spatial information can be obtained. Further, the center coordinates of the contact point can be compared with the coordinate range of the nucleus outline. If it is determined that the center coordinates of the contact point are within the coordinate range of the nucleus outline, then the contact simulation model can be determined to be located within the target nucleus simulation model. Further, if it is determined that the contact simulation model is located within the target nucleus simulation model, then the electrode contact corresponding to the contact simulation model can be determined as the target electrode contact. Thus, at least one target electrode contact can be obtained.

[0103] Optionally, determining at least one target electrode contact from at least one electrode contact based on the first spatial location information and at least one second spatial location information includes: for at least one contact simulation model, determining the distance between the contact simulation model and the target nucleus simulation model based on the second spatial location information and the first spatial location information of the contact simulation model; if the distance is less than a preset distance threshold, determining the electrode contact corresponding to the contact simulation model as the target electrode contact, thereby obtaining at least one target electrode contact.

[0104] S240. Determine at least one electrode contact combination based on the arrangement and combination results between at least one target electrode contact.

[0105] In this embodiment, after obtaining at least one target electrode contact, the at least one target electrode contact can be arranged and combined according to the rules of non-empty subsets. Thus, at least one electrode contact combination can be obtained. For example, assuming there are three target electrode contacts, namely electrode contact A, electrode contact B, and electrode contact C, then the electrode contact combinations can be: A, AB, AC, ABC, B, BC, and C.

[0106] S250. For at least one combination of electrode contacts, determine at least one set of candidate electrical stimulation parameters corresponding to the combination of electrode contacts based on the electrode contact combination and the target nucleus simulation model.

[0107] S260. For at least one set of candidate electrical stimulation parameters, determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration based on the preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters.

[0108] S270. Determine at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators.

[0109] The technical solution of this disclosure determines the first spatial location information of the target nucleus simulation model and the second spatial location information of at least one contact simulation model on the electrode simulation model corresponding to the target nucleus simulation model based on the three-dimensional brain model. Further, based on the first spatial location information and at least one second spatial location information, at least one target electrode contact is determined from at least one electrode contact. Further still, based on the arrangement and combination results between at least one target electrode contact, at least one electrode contact combination is determined. This achieves the effect of accurately identifying target electrode contacts that can release effective electrical stimulation to the target brain nucleus through spatial location information, and then determining the electrode contact combination based on their arrangement and combination. This avoids the blindness of traditional experience-based selection of contacts and combinations, and ensures that all electrode contact combinations have the basis for effectively stimulating the target area, providing a reliable contact combination carrier for subsequently generating accurate candidate electrical stimulation parameters.

[0110] Example 3

[0111] Figure 4 This is a flowchart of a method for determining electrical stimulation parameters provided in Embodiment 3 of this disclosure. Based on the foregoing embodiments, the stimulator total power consumption quantification model includes a stimulator power consumption quantification sub-model. Furthermore, S140 is further refined, and its specific implementation can be found in the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here. Figure 4 As shown, the method includes:

[0112] S310. Obtain a three-dimensional brain model corresponding to the target user whose brain has been implanted with at least one stimulating electrode; wherein the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode.

[0113] S320. Based on the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model corresponding to the target nucleus simulation model, determine at least one electrode contact combination corresponding to the target nucleus simulation model; wherein, the electrode contact combination includes at least one target electrode contact.

[0114] S330. For at least one combination of electrode contacts, determine at least one set of candidate electrical stimulation parameters corresponding to the combination of electrode contacts based on the electrode contact combination and the target nucleus simulation model.

[0115] S340. For at least one set of candidate electrical stimulation parameters, determine the stimulator power consumption based on the stimulator power consumption quantization sub-model and the candidate electrical stimulation parameters.

[0116] The stimulator power consumption quantization sub-model can refer to a pre-defined, refined mathematical model used to determine the energy consumption per unit time corresponding to a single set of candidate electrical stimulation parameters. The stimulator power consumption quantization sub-model can be used to determine the stimulator power consumption per unit time for a single set of candidate electrical stimulation parameters. The stimulator power consumption can refer to the energy consumption value of the stimulator per unit time under the given candidate electrical stimulation parameters, determined after inputting the single set of candidate electrical stimulation parameters into the stimulator power consumption quantization sub-model.

[0117] In this embodiment, for at least one set of candidate electrical stimulation parameters, the candidate electrical stimulation parameters can be input into the stimulator power consumption quantification sub-model, and then the stimulator power consumption corresponding to the stimulator applying the candidate electrical stimulation parameters can be obtained.

[0118] Optionally, the stimulator power consumption is determined based on the stimulator power consumption quantification sub-model and candidate electrical stimulation parameters. This includes: determining the voltage regulation coefficient, impedance coefficient, basic circuit coefficient, and correction coefficient corresponding to the stimulator based on the type information of the stimulator connected to the stimulation electrode implanted in the target brain nucleus, the candidate amplitude in the candidate electrical stimulation parameters, and the polarity information of the electrode contact combination; and inputting the voltage regulation coefficient, impedance coefficient, basic circuit coefficient, correction coefficient, and candidate electrical stimulation parameters into the stimulator power consumption quantification sub-model to obtain the stimulator power consumption corresponding to the application of the candidate electrical stimulation parameters.

[0119] The stimulator refers to an implantable electronic device connected to stimulating electrodes, used to generate and output electrical stimulation signals. Stimulators are typically implanted subcutaneously in the chest or abdomen of the target user. Stimulators are battery-powered and consume electrical energy during operation. Type information characterizes the type of stimulator and its related components. Type information may include stimulator type and stimulator chip type. Optionally, stimulator types include rechargeable, non-rechargeable, constant-current, or constant-voltage types. Stimulator chip types may include G1, G2, G3, G4, and G5 chips. Candidate amplitude refers to the stimulation amplitude (such as voltage amplitude) in the candidate electrical stimulation parameters. Candidate amplitude can refer to the intensity index of the stimulation signal in the candidate electrical stimulation parameters, a key parameter affecting stimulator power consumption (generally, higher amplitude means higher power consumption). Polarity information can be understood as the polarity of each target electrode contact included in the electrode contact assembly. Polarity includes positive or negative. Polarity information may include single-level mode and bipolar mode. Single-level mode refers to the target electrode contact delivering electrical stimulation with a uniform single polarity. Specifically, current can flow from the target electrode contact (positive electrode), pass through brain tissue, and return from the stimulator's metal casing (negative electrode). In this mode, all target electrode contacts in the electrode contact assembly can only function as "positive electrodes" (responsible for current outflow), while the sole carrier of the "negative electrode" is the stimulator casing (non-electrode contact). Bipolar mode can refer to a configuration where at least one target electrode contact in the electrode contact assembly includes both positive and negative outputs. Specifically, current can flow from one target electrode contact (positive electrode) in the electrode contact assembly, pass through brain tissue, and return directly from another target electrode contact (negative electrode) of the same electrode. For example, the electrode contact assembly includes three target electrode contacts: contact A, contact B, and contact C. Contacts A and B are negative, and contact C is positive.

[0120] In this context, the voltage regulation capability (e.g., voltage multiplication range) of different stimulators varies, and the magnitude of the candidate amplitude directly affects the determination of the voltage regulation coefficient. The voltage regulation coefficient can be considered a voltage conversion loss correction factor determined based on the stimulator type and the candidate amplitude. It can be understood that during stimulation, the stimulator needs to adjust the battery voltage to an output voltage matching the candidate amplitude. This process involves energy loss (related to the efficiency of the voltage multiplier circuit and the amplitude magnitude), and the voltage regulation coefficient quantifies this loss. The voltage regulation coefficient varies depending on the voltage multiplication parameters, which can be determined based on the candidate amplitude from the candidate electrical stimulation parameters.

[0121] For example, Table 1 is a reference table for the voltage regulation parameters of chip G1; Table 2 is a reference table for the adjustment parameters of chips G2, G3, G4 and G5.

[0122] Table 1. Reference Table for Voltage Regulation Parameters of G1 Chip

[0123]

[0124] For example, assuming the stimulator using the candidate stimulus parameter is a C1 type chip, and the candidate amplitude in the candidate stimulus parameter is 4 volts, then the voltage regulation coefficient corresponding to the candidate stimulus parameter is 2.22.

[0125] Table 2. Reference Table for Adjustment Parameters of G2 Chip, G3 Chip, G4 Chip, and G5 Chip

[0126]

[0127] For example, assuming the stimulator using the candidate stimulus parameter is a C3 type chip, and the candidate amplitude in the candidate stimulus parameter is 4 volts, then the voltage regulation coefficient corresponding to the candidate stimulus parameter is 1.55.

[0128] The impedance coefficient can be the equivalent resistance of the entire circuit, determined based on the polarity information of the electrode contact combination and the number of negative electrodes in the electrical stimulation circuit. In single-stage mode, the number of negative electrodes is typically 1; in bipolar mode, the number of negative electrodes can be the number of negative target electrode contacts. Generally, the process of determining the impedance coefficient may include: determining the equivalent resistance corresponding to the polarity information of the electrode contact combination, and determining the number of negative electrodes; determining the ratio between the equivalent resistance and the number of negative electrodes to obtain the impedance coefficient.

[0129] For example, in single-stage mode, the equivalent impedance is 500 ohms, and therefore, the impedance coefficient can be determined based on the following formula:

[0130]

[0131] in, Impedance coefficient; This represents the number of negative electrodes, typically 1.

[0132] In bipolar mode, the equivalent impedance is 1000 ohms, and therefore, the impedance coefficient can be determined based on the following formula:

[0133]

[0134] in, Impedance coefficient; This refers to the number of negative electrodes, typically the number of negative target electrode contacts in an electrode contact assembly.

[0135] The base circuit coefficient refers to the inherent base power consumption of the stimulator when it has no stimulation output, and it is related to the stimulator type. For example, the base circuit coefficient is 30 when the stimulator type is rechargeable, and 20 when the stimulator type is non-rechargeable.

[0136] The correction factor can refer to the power efficiency correction factor determined according to the stimulator type, used to adjust for differences in power management among different stimulators. For example, the correction factor is 1 when the stimulator type is rechargeable, and 0.92 when the stimulator type is non-rechargeable.

[0137] In practical implementation, once the stimulation electrode to be implanted into the target brain nucleus is determined, the type information of the stimulator connected to that electrode can be determined. This type information includes the stimulator type and stimulator chip type, as well as the candidate amplitudes among the candidate electrical stimulation parameters and the polarity information of the electrode contact combinations corresponding to the candidate electrical stimulation parameters. Further, a voltage regulation coefficient can be determined based on the stimulator chip type and candidate amplitudes. Also, the number of negative electrodes can be determined based on the polarity information, and the impedance coefficient can be determined based on the polarity information and the number of negative electrodes. Additionally, the basic circuit coefficients and correction coefficients can be determined based on the stimulator type. Further, the voltage regulation coefficient, impedance coefficient, basic circuit coefficients, correction coefficients, and candidate electrical stimulation parameters are input into the stimulator power consumption quantization sub-model to calculate the stimulator power consumption corresponding to the application of the candidate electrical stimulation parameters.

[0138] For example, the stimulator power consumption quantization sub-model can be represented based on the following formula:

[0139]

[0140] in, This indicates the power consumption of the stimulator; Indicates the voltage regulation coefficient; Indicates the correction factor; amplitude, frequency, and pulse width are electrical stimulation parameters; Indicates the impedance coefficient; Indicates the coefficients of the basic circuit; Indicates multiplication.

[0141] S350: Obtain the expected application time period within a preset duration corresponding to the candidate electrical stimulation parameters, and determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within the preset duration based on the stimulator power consumption and the expected application time period.

[0142] The expected application time period refers to the total working time that the stimulator is expected to actually execute the candidate electrical stimulation parameter within a preset duration, serving as the effective time input for total power consumption calculation. The preset application time period can be at least a portion of the preset duration; that is, the preset application time period can be a part of the preset duration, or the expected application time period can be the entire preset duration. Generally, when applying electrical stimulation to a target user, the electrical stimulation protocol is usually determined according to the clinical scenario corresponding to the target user. This protocol can include the expected application time period of the electrical stimulation parameter within the preset duration. For example, Parkinson's disease patients may use a "daytime stimulation + nighttime shutdown" electrical stimulation protocol: the preset duration is 24 hours, and the expected application time period corresponding to the candidate electrical stimulation parameter can be 16 hours (8:00 AM - 12:00 AM); epilepsy patients may use a "timed segmented stimulation" electrical stimulation protocol: the preset duration is 24 hours, and the expected application time period corresponding to the candidate electrical stimulation parameter can be 3 hours.

[0143] It should be noted that the expected application time period can correspond to the candidate electrical stimulation parameters, that is, different candidate electrical stimulation parameters may correspond to different expected application time periods.

[0144] In one embodiment, the expected application time period within a preset duration corresponding to the candidate electrical stimulation parameters is obtained. Further, the product between the expected application time period and the stimulator power consumption can be determined, and the resulting product can be used as the total stimulator power consumption corresponding to the candidate electrical stimulation parameters within the preset duration.

[0145] For example, assuming a preset duration of 24 hours, the expected application period for a certain set of candidate electrical stimulation parameters is also 24 hours. Furthermore, the total power consumption of the stimulator corresponding to this set of candidate electrical stimulation parameters can be determined based on the following formula:

[0146]

[0147] in, This indicates the total power consumption of the stimulator; This indicates the power consumption of the stimulator.

[0148] S360: Determine at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators.

[0149] The technical solution of this disclosure determines the power consumption of the stimulator based on a stimulator power consumption quantification sub-model and candidate electrical stimulation parameters. Furthermore, it obtains the expected application time period corresponding to the candidate electrical stimulation parameters within a preset duration, and determines the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within the preset duration based on the stimulator power consumption and the expected application time period. This accurately quantifies the total cycle energy consumption of the candidate parameters in actual clinical stimulation scenarios and provides reliable cycle energy consumption data support for subsequently selecting low-energy-consumption target recommended parameters from multiple sets of effective parameters, helping to extend the stimulator's battery life and reduce the frequency of stimulator charging or battery replacement.

[0150] Example 4

[0151] Figure 5 This is a schematic diagram of the structure of an electrical stimulation parameter determination device provided in Embodiment 4 of this disclosure. Figure 5 As shown, the device includes: a brain model acquisition module 410, a contact combination determination module 420, a candidate parameter determination module 430, a total power consumption determination module 440, and a target parameter determination module 450. The brain model acquisition module 410 is used to acquire a three-dimensional brain model corresponding to a target user whose brain has at least one stimulating electrode implanted. The three-dimensional brain model includes at least a target nucleus simulation model corresponding to a target brain nucleus and an electrode simulation model corresponding to the stimulating electrode. The target brain nucleus is the brain nucleus on which the stimulating electrode is implanted. The electrode simulation model includes at least one contact simulation model corresponding to an electrode contact on the stimulating electrode. The contact combination determination module 420 is used to determine at least one electrode contact combination corresponding to the target nucleus simulation model based on the first spatial position information of the target nucleus simulation model and the second spatial position information of at least one contact simulation model on the electrode simulation model corresponding to the target nucleus simulation model. The electrode contact... The combination includes at least one target electrode contact; the target electrode contact is one of the at least one electrode contacts that can release effective electrical stimulation to the target brain nucleus; the candidate parameter determination module 430 is used to determine at least one set of candidate electrical stimulation parameters corresponding to the at least one combination of electrode contacts, based on the combination of electrode contacts and the target nucleus sub-model; the total power consumption determination module 440 is used to determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration, based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters; the target parameter determination module 450 is used to determine at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on multiple total power consumption of the stimulator.

[0152] The technical solution of this disclosure provides a simulation basis for determining electrical stimulation parameters by acquiring a three-dimensional brain model of a target user with at least one stimulating electrode implanted in the brain. Furthermore, since the three-dimensional brain model includes at least a target nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode, it provides a simulation basis for subsequent electric field simulation using the three-dimensional brain model. Further, based on the first spatial location information of the target nucleus simulation model and the second spatial location information of at least one contact simulation model on the electrode simulation model corresponding to the target nucleus simulation model, at least one electrode contact combination corresponding to the target nucleus simulation model is determined. This electrode contact combination includes at least one target electrode contact, ensuring that the stimulation energy of each electrode contact combination accurately covers the target area and eliminates interference from invalid contacts, while also providing a precise stimulation carrier for generating effective and low-energy-consumption electrical stimulation parameters. Furthermore, by targeting at least one combination of electrode contacts, and based on the electrode contact combination and the target nucleus simulation model, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination is determined. This ensures that the electric field corresponding to each set of candidate electrical stimulation parameters can accurately cover the target area and has stimulation effectiveness, while also eliminating invalid parameters in advance, avoiding redundancy in subsequent power consumption calculations, and laying the foundation for the subsequent selection of low-energy-consumption optimal parameters. Further, by targeting at least one set of candidate electrical stimulation parameters, and based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters, the total stimulator power consumption corresponding to the candidate electrical stimulation parameters within a preset duration is determined. Then, based on multiple total stimulator power consumption values, at least one set of target recommended electrical stimulation parameters is determined from multiple sets of candidate electrical stimulation parameters. This ensures that the target recommended electrical stimulation parameters accurately target the brain nucleus with effective stimulation and low energy consumption, achieving the technical effect of extending stimulator endurance while improving the accuracy and stimulation effect of electrical stimulation. The technical solution of this disclosure solves the technical problems of low flexibility and accuracy in selecting electrical stimulation parameters and low efficiency in parameter adjustment in related technologies. It achieves the effect of accurately selecting recommended electrical stimulation parameters with low energy consumption and high stimulation effect based on the power consumption of electrical stimulation. This not only improves the flexibility and accuracy of parameter selection, but also extends the stimulator's battery life through low energy consumption optimization, significantly improves parameter adjustment efficiency, and enhances the user's electrical stimulation experience.

[0153] Optionally, the device further includes: an image data acquisition module, an electrode simulation model construction module, and a brain 3D model determination module. The image data acquisition module is used to acquire brain image data corresponding to a target user whose brain has at least one stimulating electrode implanted, and to construct a brain simulation model based on the brain image data; wherein the brain simulation model includes a target nucleus simulation model corresponding to a target brain nucleus; the electrode simulation model construction module is used to determine the electrode implantation information of the at least one stimulating electrode in the target user's brain based on the brain image data, and to construct an electrode simulation model corresponding to the stimulating electrode based on the electrode implantation information and the electrode attribute information of the stimulating electrode; the brain 3D model determination module is used to perform model registration between the brain simulation model and at least one electrode simulation model to obtain a brain 3D model corresponding to the target user.

[0154] Optionally, the contact combination determination module 420 includes: a spatial position information determination unit, a target electrode contact determination unit, and a contact combination determination unit. The spatial position information determination unit is used to determine, based on the three-dimensional brain model, first spatial position information of the target nucleus simulation model and second spatial position information of at least one of the contact simulation models on the electrode simulation model corresponding to the target nucleus simulation model; the target electrode contact determination unit is used to determine at least one target electrode contact from at least one of the electrode contacts based on the first spatial position information and at least one of the second spatial position information; and the contact combination determination unit is used to determine at least one electrode contact combination based on the arrangement and combination results between at least one of the target electrode contacts.

[0155] Optionally, the target electrode contact determination unit is specifically used to determine, for at least one of the contact simulation models, whether the contact simulation model is located in the target nucleus simulation model based on the second spatial position information and the first spatial position information of the contact simulation model; if the contact simulation model is located in the target nucleus simulation model, determine the electrode contact corresponding to the contact simulation model as the target electrode contact, so as to obtain at least one of the target electrode contacts.

[0156] Optionally, the candidate parameter determination module 430 includes: a reference electric field model determination unit, an electric field distribution model determination unit, a spatial overlap determination unit, and a candidate parameter determination unit. The reference electric field model determination unit is used to determine a reference electric field distribution model corresponding to the electrode contact combination; wherein the reference electric field distribution model corresponds to reference electrical stimulation parameters. The electric field distribution model determination unit is used to determine, based on the reference electric field distribution model, the electric field distribution model corresponding to the electrode contact combination under multiple sets of electrical stimulation parameters; wherein the multiple sets of electrical stimulation parameters are determined based on the reference electrical stimulation parameters and a preset step size. The spatial overlap determination unit is used to determine the spatial overlap between the multiple electric field distribution models and the target nucleus simulation model, respectively. The candidate parameter determination unit is used to determine at least one set of candidate electrical stimulation parameters from the multiple sets of electrical stimulation parameters based on the multiple spatial overlaps.

[0157] Optionally, the candidate parameter determination unit is specifically used to select the electrical stimulation parameters corresponding to the electric field distribution model whose spatial overlap is greater than a preset overlap threshold as candidate electrical stimulation parameters.

[0158] Optionally, the total power consumption determination module 440 includes: a stimulator power consumption determination unit and a total power consumption determination unit. The stimulator power consumption determination unit is used to determine the stimulator power consumption based on the stimulator power consumption quantification sub-model and the candidate electrical stimulation parameters. The total power consumption determination unit is used to obtain the expected application time period corresponding to the candidate electrical stimulation parameters within a preset duration, and to determine the total stimulator power consumption corresponding to the candidate electrical stimulation parameters within the preset duration based on the stimulator power consumption and the expected application time period.

[0159] Optionally, the stimulator power consumption determination unit is specifically used to determine the voltage regulation coefficient, impedance coefficient, basic circuit coefficient, and correction coefficient corresponding to the stimulator based on the type information of the stimulator connected to the stimulation electrode implanted in the target brain nucleus, the candidate amplitude in the candidate electrical stimulation parameters, and the polarity information of the electrode contact combination; and input the voltage regulation coefficient, the impedance coefficient, the basic circuit coefficient, the correction coefficient, and the candidate electrical stimulation parameters into the stimulator power consumption quantification sub-model to obtain the stimulator power consumption corresponding to the application of the candidate electrical stimulation parameters.

[0160] Optionally, the target parameter determination module 450 is used to perform at least one of the following operations: taking the candidate electrical stimulation parameters corresponding to the total power consumption of the stimulators that is less than a preset power consumption threshold from among the multiple total power consumption of the stimulators as target electrical stimulation parameters; arranging the multiple total power consumption of the stimulators in ascending order, and taking the candidate electrical stimulation parameters corresponding to the preset number of total power consumption of the stimulators at the top as target recommended electrical stimulation parameters.

[0161] Optionally, the device further includes a parameter display module and a stimulation parameter determination module. The parameter display module is used to display at least one of the target recommended electrical stimulation parameters on a target interface; wherein the target interface includes the programmable interface of a programmable device; the stimulation parameter determination module is used to determine the target electrical stimulation parameters based on at least one of the target recommended electrical stimulation parameters and parameter editing operations received through the target interface.

[0162] The electrical stimulation parameter determination device provided in this disclosure can execute the electrical stimulation parameter determination method provided in any embodiment of this disclosure, and has the corresponding functional modules and beneficial effects of executing the method.

[0163] Example 5

[0164] Figure 6 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present disclosure is shown. 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 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as 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 present disclosure described and / or claimed herein.

[0165] like Figure 6As shown, 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 from storage unit 18 into the RAM 13. 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.

[0166] 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.

[0167] 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 the various methods and processes described above, such as the method for determining electrical stimulation parameters.

[0168] In some embodiments, the electrical stimulation parameter determination 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 installed 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 electrical stimulation parameter determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the electrical stimulation parameter determination method by any other suitable means (e.g., by means of firmware).

[0169] Various embodiments 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 products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments 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.

[0170] Computer programs used to implement the methods of this disclosure 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 apparatus, 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.

[0171] In the context of this disclosure, 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, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0172] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; 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).

[0173] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include 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), target blockchain networks, and the Internet.

[0174] 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 to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0175] Example 6

[0176] Figure 7 This is a schematic diagram of the structure of a programmable device according to Embodiment Six of this disclosure. Figure 7 As shown, the device includes a processor 510 and a programmable interface 520. The processor 510 and the programmable interface 520 can communicate interactively. The processor has a memory storing a computer program, and the processor executes the computer program to implement a method for determining electrical stimulation parameters.

[0177] The processor 510 is configured to acquire a three-dimensional brain model corresponding to a target user whose brain has at least one stimulating electrode implanted, and execute an electrical stimulation parameter determination method to determine at least one target recommended electrical stimulation parameter, so that the stimulator applies electrical stimulation to the electrode contact according to the target electrical stimulation parameter.

[0178] The programmable interface 520 is configured to display at least one set of target recommended electrical stimulation parameters and, in response to the doctor's programming instructions, send the target electrical stimulation parameters to the stimulator. The doctor can be the receiving user.

[0179] The programmable interface 520 also includes a model display interface and a parameter adjustment interface.

[0180] The model display interface is used to display a three-dimensional model of the target user's brain, as well as an electric field distribution model corresponding to the electrical stimulation parameters determined by the doctor's parameter editing operation; wherein, the parameter editing operation includes parameter selection operation for the recommended electrical stimulation parameters for the target and / or parameter adjustment operation for the electrical stimulation parameter adjustment control;

[0181] The parameter adjustment interface provides the doctor with the necessary electrical stimulation parameter configuration controls.

[0182] The electrical stimulation parameter adjustment control may include at least one of the following: electrode contact selection control, polarity selection control, amplitude adjustment control, pulse width adjustment control, and frequency adjustment control.

[0183] For example, Figure 8 This is a schematic diagram of a programmable interface provided according to Embodiment Six of this disclosure. For example... Figure 8 As shown, the programmable interface includes a model display interface 51 and a parameter adjustment interface. The parameter adjustment interface 52 includes: an electrode selection control 521, a stimulation parameter configuration control 522, a programmable trigger control 523, a recommended parameter display box 524, and a parameter selection control 525. The model display interface 51 displays a three-dimensional brain model of the target user with at least one stimulation electrode implanted and an electric field distribution model corresponding to the recommended electrical stimulation parameters, such as... Figure 8As shown, the model display interface 51 displays an electrode simulation model 101, a target nucleus simulation model 102, and an electric field distribution model 103. The electrode selection control 521 can be used to select electrode contact combinations; 0-7 are electrode contact identifiers. The stimulation parameter configuration control 522 can be used to configure electrical stimulation parameters, including stimulation amplitude configuration, frequency configuration, and pulse width configuration. The programmable trigger control 523 can be used to send the determined target electrical stimulation parameters to the stimulator. The recommended parameter display box 524 can be used to display the target recommended electrical stimulation parameters, recommended electrode contact combinations, and recommended polarity. The parameter selection control 525 includes one-click selection of the current recommended electrical stimulation parameters and the next set of target recommended electrical stimulation parameters. Triggering the "next set of target recommended electrical stimulation parameters" allows browsing the next set of target recommended electrical stimulation parameters, and then using the "one-click selection of the current recommended electrical stimulation parameters" quickly locks the final output target electrical stimulation parameters.

[0184] Example 7

[0185] Figure 9 This is a schematic diagram of a medical system according to Embodiment Seven of this disclosure. Figure 9 As shown, the system includes: an implantable medical device 610 and a programmable device 620; the implantable medical device 610 and the programmable device 620 can communicate interactively.

[0186] The implantable medical device 610 includes at least a stimulator implanted in the body of a target user and an electrode wire implanted in the brain of the target user. The implanted end of the electrode wire is provided with at least a plurality of electrode contacts, and the stimulator is connected to the electrode wire.

[0187] The programmable device 620 includes a programmable interface for displaying at least one target recommended electrical stimulation parameter and for sending the target electrical stimulation parameter to the stimulator.

[0188] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this disclosure can be achieved, and this is not limited herein.

[0189] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for determining electrical stimulation parameters, characterized in that, include: A three-dimensional brain model corresponding to a target user with at least one stimulating electrode implanted in the brain is obtained; wherein, the three-dimensional brain model includes at least a target brain nucleus simulation model corresponding to the target brain nucleus and an electrode simulation model corresponding to the stimulating electrode; the target brain nucleus is the brain nucleus with the stimulating electrode implanted; Based on the first spatial location information of the target nucleus simulation model and the second spatial location information of the electrode simulation model corresponding to the target nucleus simulation model, at least one combination of electrode contacts corresponding to the target nucleus simulation model is determined; wherein, the combination of electrode contacts includes at least one target electrode contact; the target electrode contact is at least one of the electrode contacts that can release effective electrical stimulation to the target brain nucleus; For at least one of the electrode contact combinations, at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination is determined based on the electrode contact combination and the target nucleus simulation model; For at least one set of candidate electrical stimulation parameters, the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration is determined based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters. At least one set of target recommended electrical stimulation parameters is determined from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators; The total power consumption of the stimulator is determined based on the total power consumption of the stimulator; the total power consumption quantification model of the stimulator includes a stimulator power consumption quantification sub-model; the method for determining the power consumption of the stimulator includes: determining the voltage regulation coefficient, impedance coefficient, basic circuit coefficient, and correction coefficient corresponding to the stimulator based on the type information of the stimulator connected to the stimulation electrode implanted into the target brain nucleus, the candidate amplitude in the candidate electrical stimulation parameters, and the polarity information of the electrode contact combination; inputting the voltage regulation coefficient, the impedance coefficient, the basic circuit coefficient, the correction coefficient, and the candidate electrical stimulation parameters into the stimulator power consumption quantification sub-model to obtain the stimulator power consumption corresponding to the application of the candidate electrical stimulation parameters.

2. The method for determining electrical stimulation parameters according to claim 1, characterized in that, Also includes: Brain imaging data of a target user with at least one stimulating electrode implanted in the brain is acquired, and a brain simulation model is constructed based on the brain imaging data; wherein, the brain simulation model includes a target nucleus simulation model corresponding to the target brain nucleus; For at least one of the stimulation electrodes, based on the brain imaging data, the electrode implantation information of the stimulation electrode in the brain of the target user is determined, and based on the electrode implantation information and the electrode attribute information of the stimulation electrode, an electrode simulation model corresponding to the stimulation electrode is constructed. The brain simulation model is registered with at least one of the electrode simulation models to obtain a three-dimensional brain model corresponding to the target user.

3. The method for determining electrical stimulation parameters according to claim 1, characterized in that, The electrode simulation model includes at least one contact simulation model corresponding to an electrode contact located on the stimulating electrode; determining at least one electrode contact combination corresponding to the target nucleus simulation model based on the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model corresponding to the target nucleus simulation model includes: Based on the three-dimensional brain model, determine the first spatial location information of the target nucleus simulation model and the second spatial location information of at least one of the contact point simulation models on the electrode simulation model corresponding to the target nucleus simulation model; Based on the first spatial location information and at least one second spatial location information, at least one target electrode contact is determined from at least one of the electrode contacts; At least one electrode contact combination is determined based on the arrangement and combination results between at least one of the target electrode contacts.

4. The method for determining electrical stimulation parameters according to claim 3, characterized in that, The step of determining at least one target electrode contact from at least one of the electrode contacts based on the first spatial location information and at least one of the second spatial location information includes: For at least one of the contact simulation models, it is determined whether the contact simulation model is located in the target nucleus simulation model based on the second spatial location information and the first spatial location information of the contact simulation model; When the contact simulation model is located in the target nucleus simulation model, the electrode contact corresponding to the contact simulation model is determined as the target electrode contact, so as to obtain at least one target electrode contact.

5. The method for determining electrical stimulation parameters according to claim 1, characterized in that, The step of determining at least one set of candidate electrical stimulation parameters corresponding to the electrode contact combination based on the electrode contact combination and the target nucleus simulation model includes: For each electrode contact combination, determine multiple sets of electrical stimulation parameters corresponding to that electrode contact combination; Based on the aforementioned three-dimensional brain model, an electric field distribution model corresponding to each set of electrical stimulation parameters is generated; Determine the spatial overlap between the multiple electric field distribution models and the target nucleus simulation model; At least one set of candidate electrical stimulation parameters is determined from multiple sets of electrical stimulation parameters based on multiple spatial overlap degrees.

6. The method for determining electrical stimulation parameters according to claim 5, characterized in that, The step of generating an electric field distribution model corresponding to each set of electrical stimulation parameters based on the three-dimensional brain model includes: Based on the three-dimensional brain model, a reference electric field distribution model corresponding to the electrode contact combination is determined; wherein, the reference electric field distribution model corresponds to the reference electrical stimulation parameters; Based on the reference electric field distribution model, the electric field distribution model corresponding to the electrode contact combination under each set of electrical stimulation parameters is determined; wherein, each set of electrical stimulation parameters is determined based on the reference electrical stimulation parameters and a preset step size.

7. The method for determining electrical stimulation parameters according to claim 5, characterized in that, The step of determining at least one set of candidate electrical stimulation parameters from multiple sets of electrical stimulation parameters based on multiple spatial overlap degrees includes: The electrical stimulation parameters corresponding to the electric field distribution model whose spatial overlap is greater than a preset overlap threshold are used as candidate electrical stimulation parameters.

8. The method for determining electrical stimulation parameters according to claim 1, characterized in that, The step of determining the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters based on the preset total power consumption quantification model of the stimulator and the candidate electrical stimulation parameters includes: The stimulator power consumption is determined based on the stimulator power consumption quantification sub-model and the candidate electrical stimulation parameters. Obtain the expected application time period corresponding to the candidate electrical stimulation parameter within a preset duration, and determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameter within the preset duration based on the stimulator power consumption and the expected application time period.

9. The method for determining electrical stimulation parameters according to claim 1, characterized in that, The determination of at least one set of target electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators includes at least one of the following: The candidate electrical stimulation parameter is selected as the target electrical stimulation parameter when the total power consumption of the stimulators is less than a preset power consumption threshold. The total power consumption of the multiple stimulators is arranged in ascending order, and the candidate electrical stimulation parameters corresponding to the first preset number of total power consumption of the stimulators are taken as the target recommended electrical stimulation parameters.

10. The method for determining electrical stimulation parameters according to claim 1, characterized in that, Also includes: At least one of the target recommended electrical stimulation parameters is displayed on the target interface; wherein, the target interface includes the programmable interface of the programmable device; The target electrical stimulation parameters are determined based on at least one of the target recommended electrical stimulation parameters and parameter editing operations received through the target interface.

11. A device for determining electrical stimulation parameters, characterized in that, include: A brain model acquisition module is used to acquire a three-dimensional brain model corresponding to a target user whose brain has at least one stimulating electrode implanted; wherein, the three-dimensional brain model includes at least a target brain nucleus simulation model corresponding to a target brain nucleus and an electrode simulation model corresponding to the stimulating electrode; the target brain nucleus is the brain nucleus on which the stimulating electrode has been implanted. The contact combination determination module is used to determine at least one electrode contact combination corresponding to the target nucleus simulation model based on the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model corresponding to the target nucleus simulation model; wherein, the electrode contact combination includes at least one target electrode contact; the target electrode contact is at least one of the electrode contacts that can release effective electrical stimulation to the target brain nucleus; The candidate parameter determination module is used to determine at least one set of candidate electrical stimulation parameters corresponding to at least one of the electrode contact combinations, based on the electrode contact combination and the target nucleus simulation model. The total power consumption determination module is used to determine the total power consumption of the stimulator corresponding to the candidate electrical stimulation parameters within a preset duration, based on a preset stimulator total power consumption quantification model and the candidate electrical stimulation parameters, for at least one set of candidate electrical stimulation parameters. The target parameter determination module is used to determine at least one set of target recommended electrical stimulation parameters from multiple sets of candidate electrical stimulation parameters based on the total power consumption of multiple stimulators. The total power consumption quantification model of the stimulator includes a stimulator power consumption quantification sub-model; the total power consumption determination module includes: a stimulator power consumption determination unit, used to determine the voltage regulation coefficient, impedance coefficient, basic circuit coefficient, and correction coefficient corresponding to the stimulator based on the type information of the stimulator connected to the stimulation electrode implanted in the target brain nucleus, the candidate amplitude in the candidate electrical stimulation parameters, and the polarity information of the electrode contact combination; and inputting the voltage regulation coefficient, the impedance coefficient, the basic circuit coefficient, the correction coefficient, and the candidate electrical stimulation parameters into the stimulator power consumption quantification sub-model to obtain the stimulator power consumption corresponding to the application of the candidate electrical stimulation parameters.

12. A programmable control device, characterized in that, The programmed device is connected to a stimulator implanted in the target user's body, and the programmed device includes a processor and a programming interface; The processor is configured to acquire brain imaging data of a target user whose brain has been implanted with at least one stimulation electrode, and execute the electrical stimulation parameter determination method according to any one of claims 1-10 to determine at least one target recommended electrical stimulation parameter, and push the at least one target recommended stimulation parameter to the programmable interface. The programming interface is configured to display at least one set of target recommended electrical stimulation parameters and to send the target electrical stimulation parameters to the stimulator in response to the doctor's programming instructions.

13. The programmable control equipment according to claim 12, characterized in that, The programmable interface also includes: a model display interface and a parameter adjustment interface; The model display interface is used to display a three-dimensional model of the target user's brain, as well as an electric field distribution model corresponding to the electrical stimulation parameters determined by the doctor's parameter editing operation; wherein, the parameter editing operation includes a parameter selection operation for the recommended electrical stimulation parameters for the target and / or a parameter configuration operation for the electrical stimulation parameter configuration control; The parameter adjustment interface is used to provide the doctor with the electrical stimulation parameter configuration controls required to configure the electrical stimulation parameters.

14. A medical system, characterized in that, The medical system includes: An implantable medical device, comprising at least a stimulator implanted in the body of a target user and a stimulating electrode implanted in the brain of the target user, wherein the implanted end of the stimulating electrode is provided with at least a plurality of electrode contacts, and the stimulator is connected to the stimulating electrode. The programmable device of claim 12, the programmable device comprising a programmable interface for displaying at least one target recommended electrical stimulation parameter, and for sending the target electrical stimulation parameter to the stimulator in response to a physician's programming instruction.

15. An electronic device, characterized in that, The electronic device includes: At least one processor; and 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 enables the at least one processor to perform the method for determining electrical stimulation parameters according to any one of claims 1-10.

16. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method for determining electrical stimulation parameters as described in any one of claims 1-10.

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