An intelligent control system for electric stimulation of nystagmus

Abstract

The present invention relates to the field of medical devices, and in particular to an intelligent control system for electric stimulation of nystagmus, comprising: a data acquisition unit configured to collect nystagmus data and related data; a data analysis unit configured to determine a first electric stimulation parameter according to the nystagmus data; a parameter adjustment unit configured to determine an influencing factor of the first electric stimulation parameter according to a preset electric stimulation parameter adjustment strategy and related data, and determine a second electric stimulation parameter according to the first electric stimulation parameter and the influencing factor. The electric stimulation parameters given by the system of the present invention combine the influence of nystagmus patterns and individual differences, and determining the second electric stimulation parameters according to the first electric stimulation parameters and the influencing factors can achieve a more accurate and effective electric stimulation effect for the target user.

Description

Technical Field

[0001] The invention relates to the field of medical devices, and in particular to an intelligent control system for electric stimulation of nystagmus. Background Art

[0002] For users with congenital nystagmus, intervention treatment is usually performed using electrical stimulation signals generated by an extraocular muscle neuromuscular stimulator. The stimulator includes an internal machine implanted in the user's body to transmit electrical stimulation to the extraocular muscles, an external machine installed outside the user's body and powering the internal machine, and a programmable controller that communicates with the internal and external machines and sets the stimulation parameters of the internal machine. Specifically, before the surgical implantation, the hospital will conduct a comprehensive eye examination and physical function examination on the user, obtain all parameters related to nystagmus to formulate a corresponding stimulation plan. After the stimulation plan is selected, the surgery can be started to complete the stimulator implantation and configure the corresponding stimulation parameters. After the operation, the user needs to go to the surgical hospital for review and feedback at regular intervals (3 months or 6 months), and the stimulation parameters may need to be adjusted multiple times depending on the stimulation effect.

[0003] This reciprocating process is not only time-consuming and labor-intensive, but also requires experienced doctors to adjust the parameters, which places high demands on doctors. Moreover, the stimulation scheme adjusted based on experience cannot effectively guarantee the treatment effect for the user. Summary of the invention

[0004] In order to solve the problem that users need to frequently seek medical treatment to adjust stimulation parameters, and to monitor the user's status in real time to achieve intelligent adjustment, the present invention proposes an intelligent control system for nystagmus electrical stimulation, including: a data acquisition unit, configured to collect nystagmus data and related data; a data analysis unit, configured to determine a first electrical stimulation parameter based on the nystagmus data; a parameter adjustment unit, configured to determine an influencing factor of the first electrical stimulation parameter based on a preset electrical stimulation parameter adjustment strategy and the related data, and determine a second electrical stimulation parameter based on the first electrical stimulation parameter and the influencing factor.

[0005] In one or more embodiments, the data acquisition unit includes: a signal acquisition subunit and a data conversion subunit

[0006] The signal acquisition subunit includes a first inductor coil and a plurality of second inductors, wherein the first inductor coil is configured to be conductively connected to an external machine and to be supplied with a DC power by the external machine to generate a stable magnetic field; the plurality of second inductors are configured to be conductively connected to an internal machine and to couple with the stable magnetic field generated by the first inductor coil to generate an induced electrical signal;

[0007] The data conversion subunit is configured to extract the amplitude of the induced electrical signal on each second inductor line according to a preset scanning frequency to form an array, and save the array as the nystagmus data; wherein each column of the array is the induced data of the same second inductor coil at different times, and each row is the induced data of different second inductors at the same time.

[0008] In one or more embodiments, at least three second inductor coils are arranged corresponding to the first inductor coil; wherein the at least three second inductor coils form a coupling region, and at least one of the second inductor coils is coupled with the first inductor coil to generate an induced electrical signal.

[0009] In one or more embodiments, a diameter of the first inductor coil is greater than or equal to a diameter of the second inductor coil and less than or equal to 1.2 times the diameter of the second inductor coil.

[0010] In one or more embodiments, the data acquisition unit further includes: a vital sign data acquisition unit, configured to collect vital sign data in real time to obtain the relevant data, wherein the vital sign data includes eye muscle fibrosis degree data; an external data input unit, configured to obtain external input data to obtain the relevant data, wherein the external input data includes age, gender, drug use, genetic disease history and / or alcoholism.

[0011] In one or more embodiments, the data analysis unit includes: a nystagmus frequency analysis subunit, configured to determine whether nystagmus occurs based on whether the change value of adjacent data in each column of the array is greater than a preset nystagmus threshold; a nystagmus pattern analysis subunit, configured to determine the position of the eyeball based on the maximum value in each row of data in the array, and determine the nystagmus direction based on the displacement direction of multiple consecutive position changes, and determine the nystagmus amplitude based on the average displacement of multiple position changes; a stimulation parameter prediction subunit, which is preset with a stimulation parameter prediction model, and is used to take the output results of the nystagmus frequency analysis subunit and the nystagmus pattern analysis subunit as input and output a first electrical stimulation parameter.

[0012] In one or more embodiments, the nystagmus frequency analysis subunit is further configured to sequentially subtract adjacent data in each column of the array to obtain a plurality of column differences; determine that nystagmus occurs in response to at least four consecutive column differences in the same column being greater than the nystagmus threshold, or at least five consecutive column differences in different columns being greater than the nystagmus threshold; and count the number of nystagmus occurrences per unit time to determine the nystagmus frequency.

[0013] In one or more embodiments, the nystagmus electrical stimulation intelligent control system of the present invention also includes: a stimulation effect feedback unit, configured to generate user feedback data on the stimulation effect; a remote communication unit, configured to interact with the data acquisition unit, the parameter adjustment unit and the stimulation effect feedback unit respectively, and obtain the nystagmus data, the related data, the second electrical stimulation parameter and the feedback data, and forward the above data.

[0014] In one or more embodiments, the nystagmus electrical stimulation intelligent control system also includes a background server, which is configured to receive nystagmus data, related data, second stimulation parameters and feedback data uploaded by multiple remote communication units, and perform the following steps: aggregating nystagmus data from different users, using related data corresponding to the nystagmus data as labels for the nystagmus data, and classifying the nystagmus data by labels; for each label classification, retraining the stimulation parameter prediction model based on the second electrical stimulation parameters with good electrical stimulation feedback as training labels for the corresponding nystagmus data; and sending the trained stimulation parameter prediction model to all data analysis units corresponding to the label classification through the remote communication unit.

[0015] In one or more embodiments, the background server is further configured to actively adjust the electrical stimulation parameters and / or electrical stimulation parameter adjustment strategies with poor feedback on the electrical stimulation effect, and send them to the corresponding parameter adjustment units.

[0016] The beneficial effects of the present invention include: the present invention realizes real-time collection of nystagmus data and related data by setting up a data acquisition unit, and then obtains the first electrical stimulation parameter by analyzing the nystagmus data through the data analysis unit, realizes automatic identification of nystagmus conditions and generation of adaptive first electrical stimulation parameters, and then analyzes the relevant data through the parameter adjustment unit to obtain the influencing factors, and the second electrical stimulation parameters determined according to the first electrical stimulation parameters and the influencing factors realize targeted adjustment to individual differences, which can make the final output second electrical stimulation parameters more in line with the current user's conditions, and achieve the purpose of more accurate and effective electrical stimulation; in addition, the system of the present invention can also realize automatic optimization of electrical stimulation parameter models for different populations and different stages by collecting, classifying and analyzing user data, thereby being more intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is a schematic diagram of the structure of an intelligent control system for electric stimulation of nystagmus according to an embodiment of the present invention;

[0019] Figure 2 It is a schematic diagram of the position relationship of the nystagmus data acquisition subunits according to the first embodiment of the present invention;

[0020] Figure 3 It is a schematic diagram of the position relationship of the nystagmus data acquisition subunits according to the second embodiment of the present invention;

[0021] Figure 4 This is a schematic diagram of the structure of the eye muscle fibrosis degree data acquisition subunit according to an embodiment of the invention. DETAILED DESCRIPTION

[0022] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the embodiments of the present invention are further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0023] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for distinguishing two non-identical entities with the same name or non-identical parameters. It can be seen that "first" and "second" are only for the convenience of expression and should not be understood as limitations on the embodiments of the present invention. The subsequent embodiments will not explain this one by one.

[0024] The key to solving the problem that users need to frequently visit doctors to adjust stimulation parameters is to monitor the user's status in real time and make intelligent adjustments. In order to solve the above technical problems and achieve the above objectives, the present invention proposes an intelligent control system for nystagmus electrical stimulation, see Figure 1 , including: a data acquisition unit 100, configured to collect nystagmus data and related data; a data analysis unit 200, configured to determine a first electrical stimulation parameter according to the nystagmus data; a parameter adjustment unit 300, configured to determine an influencing factor of the first electrical stimulation parameter according to a preset electrical stimulation parameter adjustment strategy and related data, and determine a second electrical stimulation parameter according to the first electrical stimulation parameter and the influencing factor.

[0025] Specifically, the data acquisition unit 100 in this embodiment needs to be used in conjunction with the eye muscle electrical stimulation device (including an internal machine and an external machine), and is powered and stores data for it alone or by the eye muscle electrical stimulation device. The data analysis unit 200 and the parameter adjustment unit 300 can be a separate hardware module or a functional unit preset in the eye muscle electrical stimulation device control module; wherein, when the eye muscle electrical stimulation device does not support software upgrades, a data analysis unit 200 and a parameter adjustment unit 300 can be added to it by hardware upgrades, and at this time, the data analysis unit 200 and the parameter adjustment unit 300 are separate hardware processors. This embodiment collects the user's nystagmus data and related data in real time, and then obtains the first electrical stimulation scheme by analyzing the nystagmus data, and then makes individual differentiation judgments based on the collected related data, thereby fine-tuning the first electrical stimulation scheme, so that the second electrical stimulation parameters finally outputted are more in line with the current user's condition, and achieve the purpose of more accurate and effective electrical stimulation.

[0026] In one embodiment, the data acquisition unit 100 includes a signal acquisition subunit 110 and a data conversion subunit 120; wherein, the signal acquisition subunit 110 includes a first inductance coil and a plurality of second inductance coils, wherein the first inductance coil is configured to be electrically connected to an external machine and to be provided with a DC power supply by the external machine to generate a stable magnetic field; the plurality of second inductance coils are configured to be electrically connected to an internal machine and to couple with the stable magnetic field generated by the first inductance coil to generate an induced electrical signal; the data conversion subunit is configured to extract the amplitude of the induced electrical signal on each second inductance line according to a preset scanning frequency to form an array, and save the array as nystagmus data; wherein each column of the array is the induced data of the same second inductance coil at different times, and each row is the induced data of different second inductance coils at the same time.

[0027] Specifically, the first inductor coil and the plurality of second inductor coils in this embodiment are used to collect nystagmus data. In the implementation process, the first inductor coil can be electrically connected to an external machine designed as glasses, and is arranged at the edge of the frame or embedded in the edge of the lens. The plurality of second inductor coils are implanted in the interlayer of the sclera of the eyeball through surgery and are electrically connected to the internal machine, wherein the position of the first inductor coil can be adaptively adjusted according to the area where the plurality of second inductor coils are located on the sclera of the eyeball, so as to ensure that the two have an effective coupling area and thus can achieve magnetic field coupling. In the working process, the external machine provides direct current to the first inductor coil, so that the first inductor coil generates a stable magnetic field. When the user has nystagmus, the plurality of second inductor coils will move accordingly, thereby changing the effective coupling area with the first inductor coil, thereby causing a change in magnetic flux, thereby inducing electrical signals on the plurality of second inductor coils, and according to the direction and amplitude of the nystagmus, electrical signals with different amplitudes and frequencies will be induced on different second inductor coils. The user's nystagmus can be restored by analyzing these electrical signals later. In the present embodiment, the benefits of using the first inductance coil electrically connected to the external mechanical device to generate a stable magnetic field instead of using the second inductance coil disposed on the sclera to generate a stable magnetic field include: avoiding the influence of the heat generated by the continuous power supply of the inductance coil on the sclera, wherein the induced current formed by the induced electrical signal is weaker and not continuous than the applied current for generating a stable magnetic field, and thus the heat generated thereby has less influence on the sclera, and when the eyeball does not tremble, since the magnetic flux of the second coil hardly changes or changes at a very low frequency, the second inductance coil is almost in a stopped working state at this time and hardly generates heat, thereby making the nystagmus data collection method of the present embodiment safer. Optionally, during the data acquisition process, the multiple second inductor coils are numbered, and the data conversion subunit reads the induced electrical signals on the multiple second inductor coils in sequence according to the numbers and the preset scanning frequency. Since the scanning and reading speed is relatively fast, it can be considered that the data of the multiple second inductor coils read at this time are read simultaneously, thereby generating row data of the array, and after a preset interval time, such as 0.1S-0.3S, a second scanning and reading is performed again, and so on to generate column data of the array.

[0028] In an optional embodiment, a data acquisition start strategy is configured so that when the electrical signal generated by any of the plurality of second inductance coils is greater than a preset data reading threshold, data reading of the plurality of second inductance coils is started; when the electrical signals generated by the plurality of second inductance coils are all less than the preset data reading threshold within a preset time, the scanning and data reading action is stopped. The purpose of this embodiment is to reduce power consumption and ensure the validity of the collected data.

[0029] In an optional embodiment, the structure of the eyeglass-type external unit includes: a power management module and a lithium battery arranged inside the temple of one side, a charging interface (such as a type-c interface) is arranged at the free end of the temple of this side, and a charging interface protective cover is provided (which is used to be covered on the outside of the free end of the temple when in use, which can not only play a dust-proof role for the charging interface, but also play an anti-slip role), and a power switch is arranged on the upper edge of the temple of this side, which is used to control the power supply of the power module to other hardware modules; an integrated circuit board is arranged inside the temple of the other side, and the integrated circuit board integrates hardware modules including a microprocessor module, a Bluetooth module, a direct digital synthesis swept frequency signal generator, etc., the first inductor coil is conductively connected to the power management module, and the power management module outputs a suitable DC power supply.

[0030] In one embodiment, at least three second inductor coils are arranged corresponding to the first inductor coil; wherein the at least three second inductor coils form a coupling region, and at least one of the second inductor coils is coupled with the first inductor coil to generate an induced electrical signal.

[0031] Specifically, nystagmus patterns are divided into up-and-down nystagmus, left-and-right nystagmus, and mixed nystagmus (also called surround nystagmus). In order to enable nystagmus data to reflect the above nystagmus conditions, this embodiment preferably provides at least three second inductance coils for coupling with the first inductance coil so that no matter up-and-down nystagmus, left-and-right nystagmus, or mixed nystagmus occurs, changes in the inductance coil sensing signal can be caused, that is, changes in the corresponding nystagmus data can be captured, thereby recording the corresponding nystagmus characteristics. Figure 2 To explain:

[0032] Taking the coupling region composed of three second inductance coils as an example, a relatively ideal position relationship between the first inductance coil and the three second inductance coils is as follows: Figure 2 As shown, three second inductance coils form an equilateral triangle coupling area, and the first inductance coil is set at the center of the equilateral triangle. When the multiple second inductance coils move in any direction relative to the first inductance coil, the magnetic flux of at least one second inductance coil will change, thereby generating an electrical signal and recording the vibration behavior.

[0033] It should be noted that, on the basis of the present embodiment, fewer second inductance coils can also be provided to detect the frequency and amplitude of nystagmus, but the nystagmus pattern may not be accurately determined, and thus targeted electrical stimulation parameter adjustments cannot be made according to the nystagmus pattern.

[0034] In one embodiment, the diameter of the first inductor coil is greater than or equal to the diameter of the second inductor coil and less than or equal to 1.2 times the diameter of the second inductor coil. The benefits of setting a larger first inductor coil include easier coupling with the second inductor coil, and when the relative position of the first inductor coil and multiple second inductor coils changes, induced electrical signals can be generated on more second inductor coils, but the first inductor coil should not be too large, otherwise it may result in the inability to change the magnetic flux passing through the second inductor coil when the relative position changes.

[0035] In one embodiment, the data acquisition unit further includes: a vital sign data acquisition unit configured to collect vital sign data in real time to obtain relevant data, wherein the vital sign data includes eye muscle fibrosis degree data; an external data input unit configured to obtain external input data to obtain relevant data, wherein the external input data includes age, gender, drug use, genetic disease history and / or alcoholism.

[0036] In an optional embodiment, the physical sign data acquisition unit includes an eye muscle fibrosis degree data acquisition subunit, whose structure is as shown in Figure 3 As shown, it includes a first arc-shaped electrode sheet 10, a second arc-shaped electrode sheet 20 and an arc-shaped spring sheet 30 for connecting the first arc-shaped electrode sheet 10 and the second arc-shaped electrode sheet 20, and the arc-shaped spring sheet 30 is an insulating material, such as silicone; wherein the first arc-shaped electrode sheet and the second arc-shaped electrode sheet are made of platinum-iridium alloy material, which are used to be conductively connected to the DC power supply end of the in-vivo machine respectively, and the DC voltage is provided by the in-vivo machine.

[0037] Specifically, the electrical stimulation program needs to be changed according to the individual's physical condition. The relevant data in the present invention refers to relevant data that may or clearly affect the eye muscle stimulation effect, including but not limited to the degree of eye muscle fibrosis, age, gender, drug use, genetic history and / or alcoholism. Among them, the degree of eye muscle fibrosis directly affects the stimulation effect, and other relevant data are indirectly related to the electrical stimulation effect. Among them, the implementation method of the eye muscle fibrosis degree data acquisition subunit is to set the subunit on the part of the eye muscle where the degree of fibrosis needs to be detected, such as the eye muscle area between the stimulation electrode and the feedback electrode, and then make the first arc electrode sheet 10, the eye muscle and the second arc electrode sheet 20 form a capacitor structure. The working principle of the eye muscle fibrosis degree data acquisition subunit is that the conductivity of the eye muscle will affect the dielectric constant of the capacitor structure, and the conductivity of the normal eye muscle is different from that of the fibrotic eye muscle. Therefore, when the eye muscle undergoes fibrosis, the capacitance value of the capacitor structure will change. By monitoring the change in capacitance value, the degree of fibrosis can be monitored. It should be noted that Figure 2The shape is only for illustration. During use, the curvature of the first arc electrode sheet 10 and the second arc electrode sheet 20 can be adaptively changed according to the position of the eye muscles. As for heart rate detection or blood pressure detection, since it is a conventional detection, a ready-made detection product can be used, such as a patch-type heart rate detector or blood pressure detector, or some electronic products capable of realizing heart rate detection and blood pressure detection can be interacted with to obtain relevant data.

[0038] In one embodiment, the data analysis unit includes: a nystagmus frequency analysis subunit, configured to determine whether nystagmus occurs based on whether the change value of adjacent data in each column of the array is greater than a preset nystagmus threshold; a nystagmus pattern analysis subunit, configured to determine the position of the eyeball based on the maximum value in each row of data in the array, and determine the nystagmus direction based on the displacement direction of multiple consecutive position changes, and determine the nystagmus amplitude based on the average displacement of multiple position changes; a stimulation parameter prediction subunit, which is preset with a stimulation parameter prediction model, and is configured to use the output results of the nystagmus frequency analysis subunit and the nystagmus pattern analysis subunit as input and output a first electrical stimulation parameter.

[0039] Specifically, the data analysis unit can be a hardware module for realizing a predetermined function, or can be a functional unit, which is preferably arranged on the side of the external device or the program controller to obtain sufficient power support.

[0040] In a further embodiment, the nystagmus frequency analysis subunit is further configured to sequentially subtract adjacent data in each column of the array to obtain a plurality of column differences; in response to at least four consecutive column differences in the same column being greater than the nystagmus threshold, or at least five consecutive column differences in different columns being greater than the nystagmus threshold, determine that nystagmus has occurred; and count the number of nystagmus occurrences per unit time to determine the nystagmus frequency.

[0041] Specifically, the main function of this embodiment is to distinguish normal eye movement or nystagmus: the judgment ideas include:

[0042] 1. The number of changes in the direction of the eyeball in a short period of time. When the eyeball moves normally, multiple changes in direction will not occur in a short period of time. On the contrary, nystagmus will occur. Therefore, when "the difference of at least four consecutive columns in the same column is greater than the nystagmus threshold", it is judged that nystagmus occurs;

[0043] Second, the regularity of the change in the direction of the eyeball. Normal eyeball movement is regular, while nystagmus (especially surround nystagmus) lacks regularity. Therefore, if the difference of multiple columns of data is greater than the threshold, it indicates that the movement of the eyeball is irregular. At this time, it only needs to be greater than the threshold for 5 consecutive columns in different columns to determine that nystagmus has occurred. Among them, the continuous in multiple columns means that the data is adjacent to each other up and down or left and right.

[0044] In a further embodiment, the nystagmus pattern analysis subunit is further configured to count the number of times the data maximum values ​​appear in three preset directions; in response to the difference in the number of times the data maximum values ​​appear in the three directions being less than a preset first mode threshold, it is determined that surround nystagmus occurs; in response to the difference in the number of times the data maximum values ​​appear in two directions being less than the first mode threshold, and the difference in the number of times the data maximum values ​​appear in the third direction being greater than a preset second mode threshold, it is determined that up and down nystagmus or left and right nystagmus occurs.

[0045] Specifically, in this implementation, the number of divisions of the statistical direction depends on the number of the second inductor coils. When there are more than three second inductor coils, as shown in FIG. Figure 3 As shown, the number of statistical directions can be adaptively increased. The overall idea of ​​statistical judgment is that if the number of data maxima in each statistical direction is close, it is considered that a circumferential tremor has occurred. If the number of data maxima in a certain statistical direction is significantly higher than that in other statistical directions, it is judged that the tremor mainly occurs in this direction.

[0046] In one embodiment, the parameter adjustment unit includes: a capacitance value detection subunit, configured to detect the measured capacitance value of the eye muscle fibrosis degree data acquisition subunit; an eye muscle fibrosis degree judgment subunit, which is preset with a basic capacitance value threshold and a relative capacitance value threshold relative to the basic capacitance value threshold, and an electrical stimulation parameter adjustment weight corresponding to the basic capacitance value and each relative capacitance value threshold, and is configured to compare the measured capacitance value obtained by the capacitance value detection subunit with the basic capacitance value threshold and the relative capacitance value threshold, and output the corresponding electrical stimulation adjustment weight in response to the measured capacitance value being greater than or equal to the corresponding basic capacitance value threshold or relative capacitance, wherein the objects of the electrical stimulation adjustment weight include but are not limited to electrical stimulation intensity, waveform, frequency, etc.; wherein the basic capacitance value is the measured capacitance value when the eye muscle is not fibrotic.

[0047] Specifically, the electrical stimulation intensity adjustment weight in this embodiment is the influencing factor mentioned in the aforementioned embodiment, and this embodiment specifically provides a method for converting the degree of eye muscle fibrosis into an influencing factor. Other related parameters can also be processed in the same manner as above, so as to superimpose the influence of multiple related parameters on the electrical stimulation parameters, thereby obtaining a total adjustment weight. The superposition method is such as C1+C2-C3, where C1+C2-C3 is divided into three parameters for the adjustment weight of the same electrical stimulation parameter. More specifically, for example, when the degree of eye muscle fibrosis increases, it is necessary to increase the electrical stimulation intensity so that the stimulation waveform contains more square waves, and the electrical stimulation frequency can be reduced. For children, it is recommended to reduce the electrical stimulation intensity so that the square waves in the stimulation waveform are reduced and the electrical stimulation frequency is appropriately increased.

[0048] In a further example, the nystagmus electrical stimulation intelligent control system of the present invention further includes:

[0049] A stimulation effect feedback unit configured to generate user feedback data on the stimulation effect;

[0050] A remote communication unit, configured to interact with the data acquisition unit, the parameter adjustment unit and the stimulation effect feedback unit respectively, and obtain the nystagmus data, related data, the second electrical stimulation parameter and feedback data, and forward the above data;

[0051] The backend server is configured to receive nystagmus data, related data, second electrical stimulation parameters and feedback data from multiple remote communication units, and perform the following steps: aggregating nystagmus data from different users, using the related data corresponding to the nystagmus data as classification labels for the nystagmus data, and classifying the nystagmus data by labels; for each label classification, retraining the stimulation parameter prediction model according to the second electrical stimulation parameters with good electrical stimulation feedback as the training labels for the corresponding nystagmus data; and sending the trained stimulation parameter prediction model to all data analysis units of the corresponding label classification through the remote communication unit.

[0052] Specifically, this embodiment uses the relevant data as the classification label of the nystagmus data and classifies the nystagmus data, thereby realizing the fine division of the nystagmus data, and removing the influence of individual differences as much as possible in the same electrical stimulation parameter prediction model, and then training different stimulation parameter prediction models according to each label classification and then sending them to the data analysis unit of the front-end device (such as: in-vivo machine, in-vitro machine and / or program controller) of the corresponding label classification (i.e., sending the corresponding relevant data). This embodiment also has the advantage of enabling users in the same classification to inherit the good electrical stimulation parameters of other users, thereby avoiding their frequent medical adjustments.

[0053] In one embodiment, the background server is further used to perform the following steps: actively adjust the electrical stimulation parameters and / or electrical stimulation parameter adjustment strategies with poor feedback on the electrical stimulation effect, and send them to the corresponding parameter adjustment units.

[0054] Specifically, this embodiment allows experienced doctors to actively adjust the electrical stimulation parameters and electrical stimulation parameter adjustment strategies, and once the active adjustment is effective, in the subsequent system intelligent operation, other users suitable for the adjustment can be found through intelligent classification, and the adjustment can be allocated to these users, thereby realizing the intelligent sharing of effective experience. Among them, the addition of the active adjustment step can try more possible stimulation parameter combinations or stimulation parameter adjustment strategies.

[0055] In one embodiment, the data acquisition unit is arranged on the internal machine side, and the data analysis unit, parameter adjustment unit and remote communication unit are arranged on the external machine or the programmer side; wherein the data acquisition unit is conductively connected to the internal machine and is powered by the external machine, and the data analysis unit, parameter adjustment unit and remote communication unit are either conductively connected to the external machine or the programmer as separate hardware modules, or are preset in the controller of the external machine or the programmer as functional modules.

[0056] In one embodiment, an intelligent control system for electrical stimulation of nystagmus of the present invention also includes a stimulation electrode, a memory, a power supply and an external machine; wherein the stimulation electrode is configured to discharge according to a second stimulation parameter and act on the surface of the eye muscle, and the memory is used to store various intermediate data and data such as electrical stimulation parameters and electrical stimulation parameter adjustment strategies, and the power supply includes an inductor coil and a rectifier circuit for obtaining wireless power supply; the external machine can optionally be the glasses-type external machine in the aforementioned embodiment.

[0057] The above are exemplary embodiments disclosed in the present invention, but it should be noted that various changes and modifications may be made without departing from the scope disclosed in the embodiments of the present invention as defined in the claims. The functions, steps and / or actions of the method claims according to the disclosed embodiments described herein do not need to be performed in any particular order. In addition, although the elements disclosed in the embodiments of the present invention may be described or required in individual form, they may also be understood as multiple unless explicitly limited to the singular.

[0058] The serial numbers of the embodiments disclosed in the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0059] A person skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples; under the concept of the embodiments of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and there are many other changes in different aspects of the above embodiments of the present invention, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims

1. An intelligent control system for electric stimulation of nystagmus, characterized in that: include: a data acquisition unit configured to acquire nystagmus data and related data; a data analysis unit configured to determine a first electrical stimulation parameter according to the nystagmus data; a parameter adjustment unit, configured to determine an influencing factor of the first electrical stimulation parameter according to a preset electrical stimulation parameter adjustment strategy and the relevant data, and determine a second electrical stimulation parameter according to the first electrical stimulation parameter and the influencing factor; Among them, the data acquisition unit includes a signal acquisition subunit, and the signal acquisition subunit includes a first inductance coil and a plurality of second inductance coils, the first inductance coil is configured to be conductively connected to an external machine and provided with a DC power supply by the external machine to generate a stable magnetic field, and the plurality of second inductance coils are configured to be conductively connected to an internal machine and arranged in the interlayer of the sclera to follow the nystagmus to change the effective coupling area with the stable magnetic field generated by the first inductance coil to generate an induced electrical signal.

2. The intelligent control system for electric stimulation of nystagmus according to claim 1, characterized in that: The data acquisition unit further includes: a data conversion subunit, the data conversion subunit being configured to extract the amplitude of the induced electrical signal on each second inductor line according to a preset scanning frequency to form an array, and save the array as the nystagmus data; Each column of the array is sensing data of the same second inductor at different times, and each row is sensing data of different second inductors at the same time.

3. The intelligent control system for electric stimulation of nystagmus according to claim 2, characterized in that: At least three second inductance coils are provided corresponding to the first inductance coil; At least three second inductance coils form a coupling region, and at least one of the second inductance coils is coupled with the first inductance coil to generate an induced electrical signal.

4. The intelligent control system for electric stimulation of nystagmus according to claim 3, characterized in that: A diameter of the first inductor coil is greater than or equal to a diameter of the second inductor coil and less than or equal to 1.2 times the diameter of the second inductor coil.

5. The intelligent control system for electric stimulation of nystagmus according to claim 1, characterized in that: The data acquisition unit also includes: A physical sign data collection unit, configured to collect physical sign data in real time to obtain the relevant data, wherein the physical sign data includes eye muscle fibrosis degree data; The external data input unit is configured to obtain external input data to obtain the relevant data, wherein the external input data includes age, gender, drug use, genetic disease history and / or alcoholism.

6. The intelligent control system for electric stimulation of nystagmus according to claim 2, characterized in that: The data analysis unit comprises: a nystagmus frequency analysis subunit, configured to determine whether nystagmus occurs according to whether a change value of adjacent data in each column of the array is greater than a preset nystagmus threshold; a nystagmus pattern analysis subunit, configured to determine the position of the eyeball according to the maximum value in each row of data of the array, determine the nystagmus direction according to the displacement directions of a plurality of consecutive position changes, and determine the nystagmus amplitude according to the average displacement of a plurality of position changes; The stimulation parameter prediction subunit is preset with a stimulation parameter prediction model, and is configured to take the output results of the nystagmus frequency analysis subunit and the nystagmus pattern analysis subunit as input and output a first electrical stimulation parameter.

7. The intelligent control system for electric stimulation of nystagmus according to claim 6, characterized in that: The nystagmus frequency analysis subunit is further configured to: Subtracting adjacent data in each column of the array in sequence to obtain a plurality of column differences; In response to at least four consecutive column differences in the same column being greater than the tremor threshold, or at least five consecutive column differences in different columns being greater than the tremor threshold, determining that nystagmus occurs; and The frequency of nystagmus was determined by counting the number of nystagmus events per unit time.

8. The intelligent control system for electric stimulation of nystagmus according to claim 1, characterized in that: Also includes: A stimulation effect feedback unit configured to generate user feedback data on the stimulation effect; The remote communication unit is configured to interact with the data acquisition unit, the parameter adjustment unit and the stimulation effect feedback unit respectively, and obtain the nystagmus data, the related data, the second electrical stimulation parameter and the feedback data, and forward the above data.

9. The intelligent control system for electric stimulation of nystagmus according to claim 8, characterized in that: The system also includes a backend server configured to receive nystagmus data, related data, second electrical stimulation parameters, and feedback data uploaded by a plurality of remote communication units, and perform the following steps: Aggregating nystagmus data from different users, using relevant data corresponding to the nystagmus data as labels of the nystagmus data, and performing label classification on the nystagmus data; Corresponding to each label classification, the stimulation parameter prediction model is retrained according to the second electrical stimulation parameter with good electrical stimulation feedback as the training label of the corresponding nystagmus data; The trained stimulation parameter prediction model is sent to all data analysis units corresponding to the label classification through the remote communication unit.

10. The intelligent control system for electric stimulation of nystagmus according to claim 9, characterized in that: The background server is also configured to actively adjust the electrical stimulation parameters and / or electrical stimulation parameter adjustment strategies with poor feedback on the electrical stimulation effect, and send them to the corresponding parameter adjustment units.

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