CN115050455A - Electric field data generation method and equipment of nerve stimulation electrode and program control device - Google Patents
Electric field data generation method and equipment of nerve stimulation electrode and program control device Download PDFInfo
- Publication number
- CN115050455A CN115050455A CN202210754284.8A CN202210754284A CN115050455A CN 115050455 A CN115050455 A CN 115050455A CN 202210754284 A CN202210754284 A CN 202210754284A CN 115050455 A CN115050455 A CN 115050455A
- Authority
- CN
- China
- Prior art keywords
- electric field
- data
- stimulation
- range
- stimulation parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005684 electric field Effects 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000007383 nerve stimulation Effects 0.000 title claims abstract description 27
- 230000000638 stimulation Effects 0.000 claims abstract description 121
- 238000004088 simulation Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 description 18
- 238000010586 diagram Methods 0.000 description 12
- 230000000694 effects Effects 0.000 description 11
- 238000004590 computer program Methods 0.000 description 7
- 238000009826 distribution Methods 0.000 description 7
- 238000002560 therapeutic procedure Methods 0.000 description 7
- 230000001537 neural effect Effects 0.000 description 6
- 210000001519 tissue Anatomy 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 210000004556 brain Anatomy 0.000 description 4
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 210000001186 vagus nerve Anatomy 0.000 description 3
- 206010015037 epilepsy Diseases 0.000 description 2
- 238000002513 implantation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000001032 spinal nerve Anatomy 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 206010010904 Convulsion Diseases 0.000 description 1
- 208000014094 Dystonic disease Diseases 0.000 description 1
- 208000021384 Obsessive-Compulsive disease Diseases 0.000 description 1
- 208000018737 Parkinson disease Diseases 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 229910003460 diamond Inorganic materials 0.000 description 1
- 239000010432 diamond Substances 0.000 description 1
- 208000010118 dystonia Diseases 0.000 description 1
- 208000028329 epileptic seizure Diseases 0.000 description 1
- 201000006517 essential tremor Diseases 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 210000000944 nerve tissue Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Urology & Nephrology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Computer Graphics (AREA)
- Surgery (AREA)
- Software Systems (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Electrotherapy Devices (AREA)
Abstract
The invention provides a method, equipment and a program control device for generating electric field data of a nerve stimulation electrode, wherein the method comprises the following steps: acquiring a data volume threshold, a stimulation parameter threshold and a stimulation parameter range; determining the spatial range of each dimension of the electric field according to the stimulation parameter threshold; determining at least two spacing values in the space range according to the stimulation parameter range and the data volume threshold, and arranging data points in the space range of each dimension of the electric field according to the determined spacing values to form three-dimensional point cloud data, wherein the spacing value of the point cloud close to the position of the nerve stimulation electrode contact is smaller than the spacing value of the point cloud far away from the position; and generating an electric field simulation result by using the nerve stimulation electrode contact under the set stimulation parameter, and giving an electric field value to each data point in the three-dimensional point cloud.
Description
Technical Field
The invention relates to the field of medical equipment, in particular to an electric field data generation method and equipment of a nerve stimulation electrode and a program control device.
Background
Neurostimulation therapy can be used for treating various diseases, for example, deep brain electrical stimulation therapy is an effective means for treating diseases such as Parkinson's disease, essential tremor, dystonia, obsessive-compulsive disorder and the like; vagus nerve stimulation therapy can be used for treating epilepsy and inhibiting epileptic seizure; similarly, there are spinal nerve stimulation therapies, sacral nerve stimulation therapies, and the like for treating the respective diseases.
Neurostimulation therapy requires implanting a pulse generator, extension leads and electrodes into the body, controlling through extracorporeal devices, transmitting electrical pulses to specific areas, controlling the symptoms of the disease. When stimulation is applied, stimulation parameters need to be adjusted through the extracorporeal device, so that different stimulation effects are realized. For example, the stimulation position is changed by adjusting the polarity of the contact points, and the stimulation influence range is changed by modifying the amplitude, the pulse width and the frequency.
After implantation of the device, a physician is required to perform the programming. Currently, in clinic, doctors generally select a contact point according to the prior experience, set stimulation parameters, inquire and observe the reaction of patients. If the stimulation is ineffective or has serious side effects, the selected contact is replaced. If the patient has a certain curative effect, the stimulation parameters are finely adjusted to allow the patient to feel. In the whole program control process, adjustment is mainly carried out according to the experience of doctors and the subjective feeling of patients, and multiple times of adjustment are often needed to achieve a relatively good state.
In order to make the programming process more efficient and smooth, the stimulation effect of the electrodes can be predicted by simulation before the physician adjusts the stimulation parameters. Vta (volume of Tissue activation) refers to the range of neural Tissue that can be affected by electrical stimulation under set parameters, which range is affected by the electrode polarity configuration and stimulation parameters. The VTA is predicted and displayed as an important link for simulating the stimulation effect, and one important data required for predicting the VTA is an electric field generated by an electrode contact under the set stimulation parameters.
Fig. 1 shows the data point distribution effect of electric field data, the electric field generated by the electrode contact during operation is three-dimensional, and fig. 1 shows only two dimensions, i.e., one plane in the three-dimensional electric field data, for the sake of clarity in describing the electric field data. The space shown in fig. 1 can be regarded as an electric field space in which points are given electric field values, thereby expressing the electric field strength at the positions of the respective points in the electric field space. For such a data structure, the denser the points are, the higher the accuracy in the subsequent VTA calculation is, but the calculation performance requirement on the electronic device is also high, and the sparseness of the point distribution can reduce the calculation amount, but also can reduce the accuracy of the subsequent calculation result, so the structure and the data amount for generating the electric field data play a key role in the simulation of the neural stimulation.
Disclosure of Invention
In view of the above, the present application provides a method for generating electric field data of a neurostimulation electrode, which includes:
acquiring a data volume threshold, a stimulation parameter threshold and a stimulation parameter range;
determining the spatial range of each dimension of the electric field according to the stimulation parameter threshold;
determining at least two spacing values in the space range according to the stimulation parameter range and the data volume threshold, and arranging data points in the space range of each dimension of the electric field according to the determined spacing values to form three-dimensional point cloud data, wherein the spacing value of the point cloud close to the position of the nerve stimulation electrode contact is smaller than the spacing value of the point cloud far away from the position;
and utilizing the simulation result of the electric field generated by the nerve stimulation electrode contact under the set stimulation parameters to endow the electric field value to each data point in the three-dimensional point cloud.
Optionally, the data amount threshold refers to a maximum number of the data points in each dimension of the spatial range determined according to a computing performance of the electronic device.
Optionally, there are a plurality of stimulation parameter ranges, each corresponding to a different one of the interval values.
Optionally, determining at least two spacing values in the spatial range according to the stimulation parameter range and the data volume threshold, and arranging data points in the spatial range of each dimension of the electric field according to the determined spacing values, comprises:
dividing the spatial range into a plurality of subspaces according to the stimulation parameter range;
determining the spacing value in each subspace according to the data volume threshold and the number of the subspaces;
arranging data points in said respective subspaces according to said spacing values.
Optionally, determining at least two spacing values in the spatial range according to the stimulation parameter range and the data volume threshold, and arranging data points in the spatial range of each dimension of the electric field according to the determined spacing values, comprises:
determining a minimum spacing value according to the stimulation parameter range and the data volume threshold;
generating an incremental distance value according to the minimum distance value;
data points are arranged in the spatial range according to the minimum pitch value and the incremental pitch value.
Optionally, before determining the spatial range of each dimension of the electric field according to the stimulation parameter threshold, the method further includes:
the spatial shape of each dimension of the electric field is determined according to the type and shape of the stimulation object and the nerve stimulation electrode.
Optionally, the stimulation parameters include at least stimulation amplitude.
Accordingly, the present invention provides an electric field data generating apparatus of a neurostimulation electrode, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the above-described method of generating electric field data for a neurostimulation electrode.
The invention also provides a program control device of the implantable neural stimulation device, and the program control device stores standard electric field data generated by the electric field data generation method of the neural stimulation electrode.
Optionally, the program control device is further configured to obtain contact configuration information and working parameters of the electrode contact, and calculate actual electric field data corresponding to the contact configuration according to the working parameters, the contact configuration information, and the standard electric field data.
According to the method and the device for generating the electric field data of the nerve stimulation electrode, the generated electric field data is three-dimensional point cloud data which is unevenly distributed, points in an area close to an electrode contact are more densely distributed, points in an area far away from the electrode contact are sparser distributed, when the stimulation effect needs to be evaluated by using the electric field data for operation, the density of data points in a space corresponding to common working parameters is high, and the accuracy of a calculation result can be ensured; the data point density in the space corresponding to the non-common working parameters is low, the data volume is reduced, the calculation time can be shortened, and the balance between the portability and the performance of the equipment is realized.
According to the program control device of the implantable neural stimulation device provided by the application, because the non-uniformly distributed standard electric field data generated according to the method is stored in the device, the calculation amount can be reduced when the actual electric field data is calculated based on the standard electric field data, and the data accuracy in the electric field space corresponding to the common working parameters is high enough.
The invention distributes different calculation processes on different devices, and the calculation device executes and exhausts standard electric field data of various electrode contacts under various polarity settings. The program control device prestores standard electric field data, only acquires contact configuration information when in use, thereby reading the standard electric field data corresponding to the contact configuration information, then calculates the actual electric field data according to the stimulation parameters, further generates and displays a three-dimensional model and an electrode model of the nerve stimulation action range, and calculates the electric field data and VTA according to the actual condition of a patient, so that the display result is personalized. The simulation method has the advantages that the modeling simulation which consumes a long time is carried out at a high-performance computer end, the simple real-time calculation is carried out on a portable program control device, the result can be adjusted in real time according to the parameters, the balance between the portability and the performance of the equipment is achieved, the real-time change is realized, and the program control efficiency of the neurostimulation therapy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of a data point distribution of electric field data;
FIG. 2 is a flow chart of a method of generating electric field data for a neurostimulation electrode in an embodiment of the present invention;
FIG. 3 is a schematic diagram of data point distribution of a non-uniform electric field generated in an embodiment of the present invention;
FIG. 4 is a schematic diagram of data point distribution of another non-uniform electric field generated in an embodiment of the present invention;
fig. 5 is a schematic diagram of an implantable neurostimulation system in an embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention provides a method for generating electric field data of a nerve stimulation electrode, which can be executed by conventional electronic equipment such as a tablet computer, a computer or a server, and the like, and also can be executed by a program control device (an in-vitro control device) of the nerve stimulation electrode, as shown in fig. 2, the method comprises the following operations:
s1, acquiring a data volume threshold, a stimulation parameter threshold, and a stimulation parameter range. The data amount threshold may be a value set manually, or a value determined according to the calculation performance of the electronic device executing the method or the electronic device to be used for generating the electric field data subsequently, and is the number of data points in the electric field data to be generated finally, so as to limit the data amount of the whole electric field data and also limit the spatial range of the electric field.
The difference between the data volume thresholds is large for different electronic devices. In addition, the shape of the electric field space is not necessarily a cube or a sphere, but may be an irregular geometry, so the data amount threshold may be further refined to a threshold in three dimensions, and the values may be different. For convenience of description, the data amount thresholds in three dimensions are denoted as M1, M2, and M3, respectively, and the total data amount threshold is M1 × M2 × M3 — M.
The stimulation parameter may be one or a combination of stimulation amplitude and signal pulse width. Since the signal pulse width is not typically modified to a large extent in practical application scenarios, a fixed pulse width may be employed in a preferred embodiment, providing only a stimulation amplitude threshold and a stimulation amplitude range.
Taking the stimulation parameter of stimulation amplitude as an example, the stimulation parameter threshold may be specifically a stimulation voltage threshold or a stimulation current threshold according to the voltage mode and the current mode. In practice, the threshold may be set artificially, for example, the maximum stimulation amplitude supported by the neurostimulation device or the maximum stimulation amplitude determined according to the patient's condition, which is denoted as V by taking the voltage threshold as an example max . The stimulation parameter range is in this embodiment specifically a stimulation voltage range or a stimulation current range. In practice, this range may be set manually, for example, to provide a range of conventional stimulation amplitudes for the patient's condition, the maximum value of which is generally less than the stimulation threshold, for example, the stimulation voltage range is 0-V 1 When V is 1 ＜V max When the stimulation is performed, the stimulation is equivalent to the existence of two stimulation ranges, namely 0 to V 1 And V 1 ～V max 。
The number of stimulation parameter ranges may be more, e.g. the user may provide two ranges 0-V 1 And V 1 ～V 2 In total, there are three stimulation ranges, i.e., 0 to V 1 、V 1 ～V 2 And V 2 ～V max 。
In other alternative embodiments, a stimulation amplitude threshold, a stimulation amplitude range, and a signal pulse width threshold, signal pulse width range may also be obtained.
And S2, determining the spatial range of each dimension of the electric field according to the stimulation parameter threshold. I.e. the size of the generated electric field that is actually possible when the stimulation parameter is at a maximum. Specifically, the VTA generated by the stimulation parameter threshold (e.g., the maximum value of the stimulation parameter) may be simulated, that is, the boundary of the range of the neural tissue affected by the stimulation parameter threshold, and then the spatial range of each dimension of the electric field may be determined according to the simulated VTA boundary. The spatial range of each dimension of the electric field is larger than or equal to the simulated VTA range under the condition of the stimulation parameter threshold, for example, the spatial range can be a multiple of the simulated VTA range.
The simulation process may be performed in advance, so that the correspondence between the stimulation parameter and the spatial range of the electric field may be established based on the simulation result. In executing step S2, the spatial range may be determined directly according to the preset corresponding relationship, and such an operation of simulating the VTA does not need to be executed every time. Of course, the operation of simulating the VTA may also be performed in this step, so as to obtain a more suitable spatial range. Furthermore, when the VTA is simulated, the type information of the stimulation object can be used, for example, for different tissues in the deep part of the brain, the size of the VTA simulated by the same stimulation parameter threshold is different, so that the spatial range of each dimension of the electric field determined by the size is different, and finally, the electric field data for different stimulation objects can be obtained.
In the field of nerve stimulation, the range of an electric field is generally in the millimeter level, for example, a spherical space with a diameter of 0-30 mm or other geometric space.
In an alternative embodiment, the spatial shape of the dimensions of the electric field is determined according to the type and shape of the stimulation subject and the neurostimulation electrodes. For example, the shapes of the columnar electrode and the sheet electrode are different, and the distribution direction and the distribution mode of the electrode contact are different, so the shapes of the generated electric fields are different. For deep brain nerves, vagus nerves, spinal nerves, and the like, the shapes of biological tissues are different, and thus the shapes of actually generated electric fields are also different. It is therefore possible to determine the shape of the spatial extent, for example rectangular, cylindrical, spherical, etc., and then to determine its size extent.
Since the electric field may be irregularly shaped, a dimensional range in three dimensions is defined hereinEach of them is marked as X max 、Y max And Z max 。
And S3, determining at least two spacing values in the space range according to the stimulation parameter range and the data volume threshold value. The total data amount threshold M and the total spatial range X are obtained according to the steps S1 and S2 max *Y max *Z max And at least two stimulation parameter ranges, all that is required then being to arrange a maximum of M data points at a certain distance in X max *Y max *Z max Within this spatial range. At least two spacing values are determined in order to distribute the data points in a non-uniform manner in space.
There are various ways to determine the spacing values based on the above information, with the pulse width fixed as an example, the spacing values corresponding to the stimulation amplitude range, e.g., 0-V 1 Corresponding distance value L 1 mm、V 1 ～V max Corresponding distance value L 2 mm，L 1 ＜L 2 Since there are data volume thresholds and total spatial range limits in each dimension, and thus also sub-spatial ranges using each spacing value, fig. 3 shows the visualization effect of the electric field data generated in this way, where the spacing between denser point clouds is L 1 The spacing between relatively sparse point clouds is L 2 . Fig. 3 shows a two-dimensional plane in the three-dimensional electric field data, specifically, a plane in the X and Y directions, and the Z direction is the same. Similarly, if there are three stimulation parameter ranges, then 0V 1 Corresponding distance value L 1 mm、V 1 ～V 2 Corresponding distance value L 2 mm、V 2 ～V max Corresponding distance value L 3 mm, the data points are distributed according to three spacing values.
If both the stimulation amplitude range and the signal pulse width range exist, the corresponding distance value is determined by combining the two stimulation parameter ranges, such as the stimulation amplitude of 0-V 1 And a pulse width w 0 ～w 1 Corresponding to a pitch value L 1 ' mm; amplitude of stimulation V 1 ～V 2 And a pulse width w 1 ～w 2 Corresponding to a pitch value L 2 ' mm, etc.
In fig. 3, the central point (diamond point) corresponds to the position of the neurostimulation electrode contact, and the position of each data point is usually expressed by using the point as a zero point and further using coordinate values in three directions, wherein the distance L is adopted 1 The subspace of (a) is in the range of-X1 to X1 and-Y1 to Y1, with a spacing L 2 The subspace of (a) is in the range of-X2 to-X1, X1 to X2, Y2 to-Y1, Y1 to Y2.
In another embodiment, the spacing values do not correspond to stimulation parameter ranges, e.g., the user only gives one common stimulation parameter range of 0-V 1 Similarly to the previous embodiment, the pitch value L corresponding to this range may be determined first 1 mm and subspace ranges-X1-X1 and-Y1-Y1, except that for the remaining spatial range, it may be subdivided into a plurality of subspaces and assigned corresponding pitch values.
In a third embodiment, the distance values are gradually changed, and fig. 4 shows the visualization effect of the electric field data by using the gradually changed distance values, in this embodiment, the minimum distance value, i.e. the distance value closest to the central position, which is marked as L, is determined according to the stimulation parameter range and the data amount threshold value 0 mm; an incremental distance value is then generated from the minimum distance value, which may be L as an example incremental relationship n+1 ＝2*L n +1, with L 0 The calculation for the initial value gives the gradually increasing distance value, according to L 0 And arranging data points in the space range by the calculated incremental distance value, and ensuring that the number of the data points of each dimension does not exceed a data amount threshold value.
Thus, the distance values determined according to any of the above embodiments arrange data points in the spatial range of each dimension of the electric field to form three-dimensional point cloud data, wherein the distance value of the point cloud near the position where the nerve stimulation electrode contact is located is smaller than the distance value of the point cloud far away from the position.
It should be noted that reference is made to L in the above examples 0 、L 1 、V 1 、V 2 Specific values of X, Y, Z, etc. are required according to the type of stimulation device (such as vagus nerve stimulation system, deep brain electrical stimulation system, spinal nerve stimulation system, sacral nerve stimulation system)Via a stimulation system, etc.) and the condition of the stimulation subject, and needs to be verified through experiments, so the values are not limited in this application.
In the above example, to illustrate the use and concept of at least two distance values, it is assumed that the distance values used in three dimensions are the same, such as the distance value L in the X and Y directions shown in fig. 3 and 4 1 、L 2 And L n+1 Are the same. In a specific embodiment, at least two different distance values may be used in each direction, for example, the distance values in the X and Y directions are the same, and another plurality of distance values may be used in the Z direction. It can be explained that the distance values used in different directions (dimensions) are set in combination with the spatial shape of the electric field on the basis of the above-described embodiments, for example, for a rectangular body of electric field, since the spatial range in the length direction is largest, the various distance values set in the length direction can be larger than in the other two dimensions. The above described operations of partitioning molecular space, as well as the incremental relationships, may therefore be different in various dimensions.
And S4, utilizing the simulation result of the electric field generated by the nerve stimulation electrode contact under the set stimulation parameters, and endowing the electric field value to each data point in the three-dimensional point cloud. Specifically, simulation software may be used to set a stimulation parameter (for example, the stimulation amplitude is 1V), obtain electric field data under the parameter, and assign an electric field value to a point in the three-dimensional point cloud using the electric field data, thereby obtaining standard electric field data (corresponding to the electric field data when the stimulation parameter is 1 unit), or obtain electric field data under the parameter.
As shown in fig. 3 and 4, since the points in the three-dimensional point cloud data are non-uniformly distributed, in which the pitch of a plurality of points near the center is smaller than that of a plurality of points far from the center, it can be referred to as non-uniform electric field data, in which the point clouds nearer to the position where the electrode contact (center) is located are denser, and the point clouds farther away are relatively sparse. The optimized data structure can ensure the accuracy of VTA calculation under the condition of common parameters, reduce the data volume, improve the calculation speed and achieve the balance of calculation precision, calculation time and storage amount.
Specifically, the common parameters refer to common values of stimulation amplitude and pulse width, for example, for a general neurostimulation device, the stimulation amplitude generally does not exceed 6V in a voltage mode, and the pulse width is assumed to be a fixed value of 60 μ s, so that it is ensured that an actual electric field calculated within 6V of voltage is accurate enough to meet the requirement of conventional use. Therefore, when providing the standard electric field, the distance that the electric field can be generated by the conventional parameters needs to be determined, taking fig. 3 as an example, the range of-X1 to X1 and-Y1 to Y1 is the range that the electric field can be generated by the conventional parameters (6V). The points within the range are arranged more densely, so that the electric field values at each position within the range are expressed in detail, the points farther away are arranged more sparsely, the data volume is reduced, and the balance between the calculation accuracy and the calculation time and the storage volume is achieved under the condition of limited number of points.
Embodiments of the present invention provide a program control device of an implantable neurostimulation device, in which standard electric field data, i.e., non-uniform electric field data, generated according to the method of the above embodiments is stored. Specifically, as shown in fig. 5, a technical service supporter of a device manufacturer can generate a large amount of standard electric field data through an electronic device such as the computer 1. Specifically, the computer 1 may exhaust the standard electric field data of various electrode contacts at all implantation sites, all media types (human tissue, stimulation objects), and all polarity settings. Then, the computer 1 uploads the standard electric field data to the server 3, the programming device 2 can download the standard electric field data from the server 3, or the computer 1 directly imports the standard electric field data into the programming device 2.
Further, the program control device 2 is further configured to obtain contact configuration information and working parameters of the electrode contacts, and calculate actual electric field data corresponding to the contact configuration according to the working parameters, the contact configuration information, and the standard electric field data. The user provides contact configuration information according to the treatment protocol, including, for example, which contacts to select (number of contacts enabled), polarity of the contacts, stimulation parameters (frequency, amplitude, pulse width). The program control device 2 can download standard electric field data corresponding to the contact configuration and the stimulation object from the server 3 according to the contact configuration information; or downloading all standard electric field data in advance, and reading the standard electric field data corresponding to the contact configuration and the stimulation object according to the contact configuration information. And calculating actual electric field data corresponding to the contact configuration according to the standard electric field data corresponding to the contact configuration and the working parameters of the electrode contact.
In an alternative embodiment, the programming device 2 may further calculate a threshold value of the neurostimulation action range according to the working parameters of the electrode contact and the parameters of the stimulation object, and generate and display a three-dimensional model (VTA model) of the neurostimulation action range according to the actual electric field data and the threshold value.
The nerve stimulation device 4 is used for outputting stimulation signals to human nerve tissues according to the contact configuration information and the working parameters. The user can observe the actual electric field data and the VTA model through the program control device 2, if the stimulation effect is not expected, fine adjustment can be carried out on the basis, and after the stimulation effect is determined to be feasible, the nerve stimulation device 4 is started to output a corresponding stimulation signal.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. A method of generating electric field data for a neurostimulation electrode, comprising:
acquiring a data volume threshold, a stimulation parameter threshold and a stimulation parameter range;
determining the spatial range of each dimension of the electric field according to the stimulation parameter threshold;
determining at least two spacing values in the space range according to the stimulation parameter range and the data volume threshold, and arranging data points in the space range of each dimension of the electric field according to the determined spacing values to form three-dimensional point cloud data, wherein the spacing value of the point cloud close to the position of the nerve stimulation electrode contact is smaller than the spacing value of the point cloud far away from the position;
and generating an electric field simulation result by using the nerve stimulation electrode contact under the set stimulation parameter, and giving an electric field value to each data point in the three-dimensional point cloud.
2. The method of claim 1, wherein the data volume threshold is a maximum number of the data points in each dimension of the spatial range determined according to a computational performance of the electronic device.
3. The method of claim 1, wherein the stimulation parameter range is plural and corresponds to different values of the interval.
4. The method of claim 1, wherein determining at least two spacing values in the spatial range based on the stimulation parameter range and the data volume threshold, and arranging data points in the spatial range for each dimension of the electric field according to the determined spacing values, comprises:
dividing the spatial range into a plurality of subspaces according to the stimulation parameter range;
determining the spacing value in each subspace according to the data volume threshold and the number of the subspaces;
arranging data points in said respective subspaces according to said spacing values.
5. The method of claim 1, wherein determining at least two spacing values in the spatial range based on the stimulation parameter range and the data volume threshold, and arranging data points in the spatial range for each dimension of the electric field according to the determined spacing values, comprises:
determining a minimum spacing value according to the stimulation parameter range and the data volume threshold;
generating an incremental distance value according to the minimum distance value;
data points are arranged in the spatial range according to the minimum pitch value and the incremental pitch value.
6. The method of claim 1, further comprising, prior to determining the spatial extent of each dimension of the electric field according to the stimulation parameter threshold:
the spatial shape of each dimension of the electric field is determined according to the type and shape of the stimulation object and the nerve stimulation electrode.
7. The method according to any one of claims 1-6, wherein the stimulation parameters include at least stimulation amplitude.
8. An electric field data generating apparatus of a neurostimulation electrode, characterized by comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to cause the at least one processor to perform a method of generating electric field data for a neurostimulation electrode as defined in any of claims 1-7.
9. A programming device of an implantable neurostimulation device, characterized in that the programming device stores standard electric field data generated by the method for generating electric field data of a neurostimulation electrode according to any of claims 1-7.
10. The programming device according to claim 9, further configured to obtain contact configuration information and operating parameters of the electrode contacts, and calculate actual electric field data corresponding to the contact configuration based on the operating parameters, the contact configuration information, and the standard electric field data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210754284.8A CN115050455A (en) | 2022-06-28 | 2022-06-28 | Electric field data generation method and equipment of nerve stimulation electrode and program control device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210754284.8A CN115050455A (en) | 2022-06-28 | 2022-06-28 | Electric field data generation method and equipment of nerve stimulation electrode and program control device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115050455A true CN115050455A (en) | 2022-09-13 |
Family
ID=83165471
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210754284.8A Pending CN115050455A (en) | 2022-06-28 | 2022-06-28 | Electric field data generation method and equipment of nerve stimulation electrode and program control device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115050455A (en) |
-
2022
- 2022-06-28 CN CN202210754284.8A patent/CN115050455A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230310844A1 (en) | Patterned stimulation intensity for neural stimulation | |
| CN108712921B (en) | System for constructing neural stimulation patterns using neural network models | |
| CN107223065B (en) | Systems and methods for spinal cord stimulation | |
| EP3503967B1 (en) | Customized targeted fields for electrotherapy applications | |
| US9415220B1 (en) | Auricular stimulation for inflammatory parasympathetic diseases | |
| JP7038080B2 (en) | Systems and methods for spinal cord stimulation based on the time pattern of electrical stimulation | |
| US20140067016A1 (en) | Method and System of Bracketing Stimulation Parameters on Clinician Programmers | |
| AU2019274427B2 (en) | Adaptive chronic pain relief via implanted electrical neurostimulation | |
| CA2983500C (en) | Patterned stimulation intensity for neural stimulation | |
| CN115105746A (en) | Nerve stimulation action range display method, device and system | |
| CN115050455A (en) | Electric field data generation method and equipment of nerve stimulation electrode and program control device | |
| CN115116596A (en) | Neural stimulation parameter setting method and program control device | |
| JP2019519292A (en) | Method and system for stimulating neural signals | |
| US20180154146A1 (en) | Non-invasive nerve stimulation | |
| Kirigeeganage | Modeling and simulation methodologies for spinal cord stimulation. | |
| WO2014195515A1 (en) | Systems and methods for the exchange of data related to noninvasive electrical brain stimulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: 102200 building 19, yard 79, Shuangying West Road, science and Technology Park, Changping District, Beijing Applicant after: Beijing Pinchi Medical Equipment Co.,Ltd. Address before: 102200 building 19, yard 79, Shuangying West Road, science and Technology Park, Changping District, Beijing Applicant before: BEIJING PINS MEDICAL Co.,Ltd. Country or region before: China |
|
| CB02 | Change of applicant information |