Stimulation device and system
By introducing a stimulation unit into the stimulation device, dynamically adjusting the detection parameter set based on the correspondence between the stimulation parameter information and the detection parameter set, the problem of low matching caused by independent adjustment of the detection parameters and stimulation scheme in the prior art is solved, and the problem of low matching is achieved More efficient detection and stimulation effects.
Patent Information
- Application Number
- CN202411996832.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-02-14
Smart Images
Figure CN119424904A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of neural regulation technology, and specifically, to a stimulation device and system. Background Art
[0002] In the field of neuromodulation, the detection parameters and stimulation parameter information of the stimulation scheme are set independently, and the adjustments to the detection parameters and the stimulation scheme are also performed independently, which makes the matching degree between the detection parameters and the stimulation scheme not high, resulting in poor detection and stimulation effects.
[0003] For example, some traditional detection systems rely only on fixed detection parameters without considering changes in stimulation schemes and the patient's improvement, which limits the system's adaptability and flexibility to different stimulation schemes. Summary of the invention
[0004] The embodiments of the present application provide a stimulation device and system for solving the technical problem of poor detection effect and stimulation effect caused by independent adjustment of detection parameter and stimulation parameter information.
[0005] In a first aspect, an embodiment of the present application provides a stimulation device, comprising: A stimulation unit, which is electrically connected to at least one electrode, is configured to determine a target detection parameter set based on a correspondence between the adjusted stimulation parameter information and preset stimulation parameter information and the detection parameter set when switching current stimulation parameter information to adjusted stimulation parameter information; detect physiological signals collected by at least one electrode based on each detection parameter in the target detection parameter set, and determine whether to adjust at least one detection parameter in the target detection parameter set based on the detection result.
[0006] In one possible implementation, the stimulation unit is specifically configured to sample the physiological signal collected by at least one electrode based on each detection parameter in the target detection parameter set to determine a biological characteristic value; determine a detection characteristic value based on multiple biological characteristic values within a first predetermined time, and determine a detection result based on the detection characteristic value and a detection threshold corresponding to the target detection parameter set; the detection characteristic value is used to characterize the stability level of the biological characteristic value within the first predetermined time.
[0007] In a possible implementation, the physiological signal is an electroencephalogram signal, and the biological characteristic value includes any one of the following: an energy value, a line length value, and an area value in a predetermined frequency band.
[0008] In one possible implementation, the stimulation unit includes: a first control module, for being electrically connected to at least one electrode, and configured to, when switching the current stimulation parameter information to the adjusted stimulation parameter information, determine the target detection parameter set based on the correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set; and to sample the physiological signal collected by the at least one electrode based on each detection parameter in the target detection parameter set to determine the biometric characteristic value; The second control module is electrically connected to the first control module and is configured to determine a detection feature value based on multiple biometric feature values within a first predetermined time obtained from the first control module; determine a detection result based on the detection feature value and a detection threshold corresponding to the target detection parameter set; and determine whether to adjust at least one detection parameter in the target detection parameter set based on the detection result.
[0009] In a possible implementation, the first control module is further configured to do at least one of the following: Using the adjusted stimulation parameter information as current stimulation parameter information, and controlling at least one electrode to output a stimulation signal to the target area based on the current stimulation parameter information; Whether to switch the current stimulation parameter information is determined based on the biometric value.
[0010] In a possible implementation, the detection parameter set includes a first threshold value, and the first threshold value serves as a detection parameter; The first control module is specifically configured to perform at least one of the following: If the biometric characteristic value is greater than the first threshold, it is determined to reduce the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information; If the biological characteristic value is less than the first threshold, it is determined to increase the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information.
[0011] In a possible implementation, the detection parameter set includes a second threshold and a third threshold; the second threshold and the third threshold are respectively used as a detection parameter, and the second threshold is greater than the third threshold; The first control module is specifically configured to perform at least one of the following: If the biometric characteristic value is greater than the second threshold, it is determined to reduce the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information; If the biometric characteristic value is not greater than the third threshold, it is determined to increase the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information; If the biological characteristic value is not greater than the second threshold value and greater than the third threshold value, the current stimulation parameter information is not adjusted.
[0012] In a possible implementation, the first control module is specifically configured as at least one of the following: If it is determined to increase the stimulation intensity of the target area, the current stimulation parameter information is switched to the next stimulation parameter information from the stimulation parameter information set according to the arrangement order of each stimulation parameter information, and the next stimulation parameter information is used as the adjusted stimulation parameter information; If it is determined to reduce the stimulation intensity of the target area, the current stimulation parameter information is switched to the previous stimulation parameter information from the stimulation parameter information set according to the arrangement order of each stimulation parameter information, and the previous stimulation parameter information is used as the adjusted stimulation parameter information; Among them, each stimulation parameter information is arranged in the stimulation parameter information set in order from small to large according to the stimulation intensity.
[0013] In a possible implementation, the second control module is specifically configured as follows: Based on the multiple biological feature values within the first predetermined time, the change rate, mean value or variance of the multiple biological feature values is determined as the detection feature value.
[0014] In a possible implementation, the detection threshold is any one of the fourth threshold, the fifth threshold, and the sixth threshold; The second control module is specifically configured to adjust at least one detection parameter in the target detection parameter set at least once if the detection result satisfies a predetermined condition; Meeting the pre-order conditions includes any of the following: When the detection feature value is an average of multiple biological feature values, the difference between the current detection feature value and the previous detection feature value exceeds a fourth threshold; When the detection feature value is a change rate of multiple biological feature values, the current detection feature value exceeds a fifth threshold; When the detection feature value is the variance of a plurality of biological feature values, the current detection feature value exceeds a sixth threshold.
[0015] In a possible implementation, the detection parameter set includes a first detection window width and a preset threshold value, wherein the first detection window width is used to indicate sampling of a physiological signal within a second predetermined time to obtain a biological characteristic value; and the preset threshold value is a threshold value for the biological characteristic value; The second control module is specifically configured to perform at least one of the following: In each adjustment cycle, shortening a first detection window width of the target detection parameter set by a first predetermined unit time; In each adjustment cycle, the preset threshold of the target detection parameter set is reduced by a first predetermined unit value.
[0016] In a possible implementation, the stimulation unit is further configured to do at least one of the following: In response to the setting operation of the anti-interference mode, stopping collecting physiological signals through at least one electrode; In response to the exit operation of the anti-interference mode, a physiological signal collected by at least one electrode is acquired.
[0017] In a second aspect, an embodiment of the present application provides a stimulation system, comprising: at least one electrode and the stimulation device of the first aspect; Each electrode includes at least one contact, each contact is electrically connected to the stimulation unit, and each contact is used to collect physiological signals and / or output stimulation signals under the control of the stimulation unit.
[0018] In a possible implementation, the stimulation system further includes: The anti-interference button is electrically connected to the stimulation unit and is configured to send first setting information to the stimulation unit in response to a first trigger operation, so that the stimulation unit sets the anti-interference mode based on the first setting information; and send second setting information to the stimulation unit in response to a second trigger operation, so that the stimulation unit exits the anti-interference mode based on the second setting information.
[0019] In a possible implementation, the stimulation system further includes: The detection unit is electrically connected to the stimulation unit and is configured to detect physiological characteristics of the target object. If it is determined to be in an interference state based on the physiological characteristics, first detection information is sent to the stimulation unit so that the stimulation unit sets an anti-interference mode based on the first detection information; the physiological characteristics include at least one of the following: heart rate, blood pressure, and body temperature.
[0020] The beneficial effects of the technical solution provided by the embodiment of the present application are: The stimulation unit of the embodiment of the present application can adjust the current stimulation parameter information, and each stimulation parameter information has a matching detection parameter set. When the current stimulation parameter information is switched to the adjusted stimulation parameter information, the stimulation unit can determine the target detection parameter set based on the correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set. Therefore, when the embodiment of the present application adjusts the stimulation parameter information, that is, when the stimulation scheme is adjusted, the detection parameter set will also be adjusted accordingly to determine the target detection parameter set. Then, based on each detection parameter in the target detection parameter set, the physiological signal collected by at least one electrode can be detected, and then whether to adjust at least one detection parameter in the target detection parameter set can be further determined based on the detection result.
[0021] Since the detection parameter set of the embodiment of the present application will change synchronously with the stimulation parameter information, the embodiment of the present application is adaptable and flexible to different stimulation schemes, and the physiological signal collected by at least one electrode is detected. Based on the feedback detection results, it can be determined whether to adjust at least one detection parameter in the target detection parameter set, thereby achieving further optimization of the target detection parameter set.
[0022] Therefore, the embodiment of the present application associates the detection parameters and the stimulation scheme to achieve synchronous optimization of the adjustment of the detection parameters and the stimulation scheme, improve the matching degree between the detection parameters and the stimulation scheme, and improve the detection effect and the stimulation effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in describing the embodiments of the present application.
[0024] Figure 1 A schematic diagram of the framework of a first stimulation system provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a stimulation unit provided in an embodiment of the present application; Figure 3 A schematic diagram of an application scenario of the second stimulation system provided in an embodiment of the present application; Figure 4 A schematic diagram of an application scenario of a third stimulation system provided in an embodiment of the present application; Figure 5 A schematic diagram of the framework of a fourth stimulation system provided in an embodiment of the present application; Figure 6 A schematic diagram of the framework of the fifth stimulation system provided in the embodiment of the present application.
[0025] Reference numerals: 1- Stimulation system; 10- Stimulation device; 110 - stimulation unit, 111 - first control module, 1111 - first controller, 1112 - first comparator, 1113 - first algorithm module, 112 - second control module, 1121 - second controller, 1122 - second comparator, 1123 - second algorithm module, 113 - execution module; 20-electrode; 30- Anti-interference button; 40-Detection unit. DETAILED DESCRIPTION
[0026] The embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the implementation methods described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions of the embodiments of the present application.
[0027] It will be understood by those skilled in the art that, unless specifically stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the terms "including" and "comprising" used in the embodiments of the present application refer to that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude the implementation as other features, information, data, steps, operations, elements, components and / or combinations thereof supported by the technical field. It should be understood that when we say that an element is "connected" or "coupled" to another element, the one element may be directly connected or coupled to the other element, or it may refer to that the one element and the other element establish a connection relationship through an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein indicates at least one of the items defined by the term, for example, "A and / or B" indicates that it is implemented as "A", or is implemented as "A", or is implemented as "A and B".
[0028] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.
[0029] In the related art, the adjustment of detection parameters and stimulation schemes is often carried out independently, lacking a mechanism for synchronous optimization. This separation method leads to a low match between detection parameters and stimulation schemes in practical applications, and it is impossible to achieve the best detection and stimulation effects. For example, some traditional detection systems rely only on fixed detection parameters without considering changes in stimulation schemes and the improvement of patients, which limits the system's adaptability and flexibility to different stimulation schemes and the improvement of patients within a certain period. In addition, the adjustment of some stimulation schemes is also based on experience rather than precise physiological data, which may lead to inaccurate stimulation schemes and unstable effects.
[0030] In this context, the technicians of this application have tried to optimize the detection parameters and stimulation schemes through manual adjustment, but due to the lack of automation and intelligent support, these methods are not only inefficient, but also difficult to achieve accurate synchronous optimization. In addition, manual adjustment is easily affected by the operator's experience and subjective judgment, resulting in inconsistency and unreliability of the optimization results.
[0031] At the same time, further research has found that some algorithms can be used to automatically adjust detection parameters and stimulation schemes, but due to the complexity and accuracy limitations of the algorithms, these methods are often unable to handle complex physiological data and changing stimulation environments, resulting in inaccurate and inapplicable adjustment results.
[0032] The stimulation device and system provided in this application are intended to solve the above technical problems in the prior art.
[0033] The following is a detailed description of the technical solution of the present application and how the technical solution of the present application solves the above technical problems with specific embodiments. It should be noted that the following implementations can refer to, draw on or combine with each other, and the same terms, similar features and similar implementation steps in different implementations will not be described repeatedly.
[0034] See also Figure 1 As shown, the present embodiment provides a schematic diagram of the framework of a first stimulation system 1. The stimulation system 1 comprises: at least one electrode 20 and a stimulation device 10; the stimulation device 10 comprises a stimulation unit 110.
[0035] Each electrode 20 includes at least one contact, each contact is electrically connected to the stimulation unit 110 , and each contact is used to collect physiological signals and / or output stimulation signals under the control of the stimulation unit 110 .
[0036] Optionally, at a time point, the contact may collect physiological signals or output stimulation signals, and the electrode 20 may be a deep electrode and / or a cortical electrode, and a signal processed by a low-pass filter (LPF) may be collected through the electrode 20 .
[0037] Furthermore, according to the location of the target area, corresponding deep electrodes and / or cortical electrodes may be selected to collect physiological signals.
[0038] Optionally, the physiological signal is a physiological marker of the target object, and the change of the condition of the target object can be determined based on the physiological marker. In the embodiment of the present application, the electrode 20 can collect the patient's electroencephalogram signal, and the physiological signal can be an electroencephalogram signal.
[0039] See also Figure 1 As shown, the stimulation device 10 of the embodiment of the present application includes: a stimulation unit 110 .
[0040] The stimulation unit 110 is used to be electrically connected to at least one electrode 20, and is configured to determine the target detection parameter set based on the correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set when switching the current stimulation parameter information to the adjusted stimulation parameter information; based on each detection parameter in the target detection parameter set, detect the physiological signal collected by at least one electrode 20, and determine whether to adjust at least one detection parameter in the target detection parameter set based on the detection result.
[0041] Optionally, different stimulation parameter information forms different stimulation schemes. The stimulation parameter information may include target contact information, stimulation frequency of each target contact, stimulation duration of each target contact, amplitude of each target contact, etc. The target contact refers to the contact used to output the stimulation signal.
[0042] Optionally, if it is determined to adjust at least one detection parameter in the target detection parameter set based on the detection result, the target detection parameter set is updated to an adjusted target detection parameter set, which is applied to subsequent detection and stimulation scheme adjustment processes.
[0043] The stimulation unit 110 of the embodiment of the present application can adjust the current stimulation parameter information, and each stimulation parameter information has a matching detection parameter set. When the current stimulation parameter information is switched to the adjusted stimulation parameter information, the stimulation unit 110 can determine the target detection parameter set based on the correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set. Therefore, when the embodiment of the present application adjusts the stimulation parameter information, that is, when the stimulation scheme is adjusted, the detection parameter set will also be adjusted accordingly to determine the target detection parameter set. Then, based on each detection parameter in the target detection parameter set, the physiological signal collected by at least one electrode 20 can be detected, and then whether to adjust at least one detection parameter in the target detection parameter set can be further determined based on the detection result.
[0044] Since the detection parameter set of the embodiment of the present application will change synchronously with the stimulation parameter information, the embodiment of the present application is adaptable and flexible to different stimulation schemes, and the physiological signals collected by at least one electrode 20 are detected. Based on the feedback detection results, it can be determined whether to adjust at least one detection parameter in the target detection parameter set, thereby achieving further optimization of the target detection parameter set.
[0045] Therefore, the embodiment of the present application associates the detection parameters and the stimulation scheme to achieve synchronous optimization of the adjustment of the detection parameters and the stimulation scheme, improve the matching degree between the detection parameters and the stimulation scheme, and improve the detection effect and the stimulation effect.
[0046] Furthermore, the embodiment of the present application can pre-set the correspondence between the stimulation parameter information and the detection parameter set, and use the stimulation scheme as an entry point to achieve automatic adjustment of the detection parameters.
[0047] In some embodiments, the stimulation unit 110 is specifically configured to sample the physiological signals collected by at least one electrode 20 based on each detection parameter in the target detection parameter set to determine a biological characteristic value; determine a detection characteristic value based on multiple biological characteristic values within a first predetermined time, and determine a detection result based on the detection characteristic value and a detection threshold corresponding to the target detection parameter set; the detection characteristic value is used to characterize the stability level of the biological characteristic value within the first predetermined time.
[0048] Optionally, the stimulation unit 110 may sample the physiological signal at a predetermined frequency to obtain a plurality of biological characteristic values.
[0049] In some embodiments, the physiological signal is an electroencephalogram signal, and the biometric value includes any one of the following: an energy value, a line length value, and an area value in a predetermined frequency band.
[0050] The biometric value may be the beta band energy value of the EEG signal, or the gamma band energy value of the EEG signal. The beta band energy value may reflect the tremor or bradycardia symptoms of Parkinson's patients or the degree of discomfort reported by the patient. A high beta band energy value often means that the patient's tremor symptoms are intensified, or the bradycardia symptoms are worsened, or the patient feels more uncomfortable. The meaning of the gamma band energy value is similar.
[0051] The biometric value may also be a line length value or an area value of an EEG signal, which may reflect the degree of abnormal EEG oscillation of an epileptic patient. An extremely high line length value or an area value often means that an epileptic patient is experiencing an epileptic seizure or is about to experience an epileptic seizure.
[0052] In practical applications, the embodiments of the present application can collect and detect physiological signals in real time through specific detection equipment and technology (for example, deep brain electrodes, cortical electrodes, etc.) to obtain biometric values. For example, the sampling frequency is 256 Hz, and one biometric value is output every second.
[0053] Optionally, each detection parameter set corresponds to a detection threshold. The detection threshold can be changed to match the different detection feature values. The value of the detection threshold can be adaptively adjusted according to actual applications.
[0054] See also Figure 2 As shown, the present embodiment provides a schematic diagram of the structure of a stimulation unit 110. Figure 2 As shown, the stimulation unit 110 includes: a first control module 111 and a second control module 112 .
[0055] The first control module 111 is used to be electrically connected to at least one electrode 20. The first control module 111 is configured to determine a target detection parameter set based on the correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set when switching the current stimulation parameter information to the adjusted stimulation parameter information; based on each detection parameter in the target detection parameter set, sample the physiological signal collected by at least one electrode 20 to determine the biological characteristic value.
[0056] The second control module 112 is electrically connected to the first control module 111, and the second control module 112 is configured to determine a detection feature value based on a plurality of biometric feature values acquired from the first control module 111 within a first predetermined time; determine a detection result based on the detection feature value and a detection threshold corresponding to a target detection parameter set; and determine whether to adjust at least one detection parameter in the target detection parameter set based on the detection result.
[0057] The embodiment of the present application can perform dual closed-loop control based on the first control module 111 and the second control module 112 to improve the effectiveness of detection and stimulation.
[0058] Optionally, the stimulation unit 110 may sample the physiological signal collected by at least one electrode 20 based on the first detection window width to determine the biometric value. That is, the first control module 111 may sample the physiological signal collected by at least one electrode 20 based on the first detection window width to determine the biometric value.
[0059] In some embodiments, the first control module 111 is further configured to do at least one of the following: Using the adjusted stimulation parameter information as current stimulation parameter information, and controlling at least one electrode 20 to output a stimulation signal to the target area based on the current stimulation parameter information; Whether to switch the current stimulation parameter information is determined based on the biometric value.
[0060] Specifically, the first control module 111 can control at least one electrode 20 to output a stimulation signal to the target area based on the current stimulation parameter information, and can also determine whether to switch the current stimulation parameter information based on the biometric value. Therefore, the embodiment of the present application can switch the stimulation scheme according to the biomarker level, avoiding the technical problem of inaccurate stimulation scheme and unstable effect caused by experience rather than accurate physiological data.
[0061] The embodiment of the present application is aimed at the fact that the prior art has obvious deficiencies in the synchronous optimization of detection parameters and stimulation schemes and cannot meet the requirements of high precision, high efficiency and high adaptability. A stimulation device 10 is proposed, which realizes the synchronous optimization of detection parameters and stimulation schemes through a new automatic adjustment method. By presetting different stimulation schemes and corresponding detection parameter sets, as well as a dynamic adjustment strategy based on the level of physiological markers, the synchronous optimization of detection parameters and stimulation schemes is realized, thus overcoming the limitations of the prior art and improving the effect and efficiency of detection and stimulation.
[0062] See also Figure 3 As shown, the present application embodiment provides a schematic diagram of an application scenario of a second stimulation system 1. Figure 3 As shown, the first control module 111 includes a first controller 1111 , a first comparator 1112 and a first algorithm module 1113 , and the stimulation device 10 includes an execution module 113 .
[0063] The first algorithm module 1113 can determine the biometric characteristic value based on the physiological signal output by the electrode 20; the first comparator 1112 can compare the biometric characteristic value output by the first algorithm module 1113 based on an input preset threshold, and send the comparison result to the first controller 1111. The first controller 1111 outputs a control signal to the execution module 113, and the execution module 113 outputs a stimulation signal based on the control signal.
[0064] Optionally, the execution module 113 may include a stimulation signal generation circuit and a stimulation engine, etc., to output different stimulation doses to a target area of the patient.
[0065] In the embodiment of the present application, the first control module 111 can determine whether to switch the current stimulation parameter information based on the biometric value. Two implementation methods are provided below: In a possible implementation, the detection parameter set includes a first threshold value, and the first threshold value serves as a detection parameter; the first control module 111 is specifically configured as at least one of the following: If the biometric characteristic value is greater than the first threshold, it is determined to reduce the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information; If the biological characteristic value is less than the first threshold, it is determined to increase the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information.
[0066] In another possible implementation, the detection parameter set includes a second threshold and a third threshold; the second threshold and the third threshold are respectively used as a detection parameter, and the second threshold is greater than the third threshold; the first control module 111 is specifically configured as at least one of the following: If the biometric characteristic value is greater than the second threshold, it is determined to reduce the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information; If the biometric characteristic value is not greater than the third threshold, it is determined to increase the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information; If the biological characteristic value is not greater than the second threshold value and greater than the third threshold value, the current stimulation parameter information is not adjusted.
[0067] Specifically, the second threshold and the third threshold are double thresholds that are set, the second threshold is an upper threshold, and the third threshold is a lower threshold.
[0068] The embodiment of the present application can determine whether the stimulation scheme needs to be adjusted based on the detection parameter set and the detected physiological marker level. If the current physiological marker level reaches the preset adjustment condition, for example, if it exceeds the single threshold, the stimulation is reduced, or if it exceeds the upper threshold of the dual threshold, the stimulation is reduced; if it is lower than the single threshold, the stimulation is increased, or if it is lower than the lower threshold of the dual threshold, the stimulation is increased; or if it is between the upper and lower thresholds of the dual threshold, the existing stimulation is maintained.
[0069] It should be noted that the threshold corresponding to the biometric value in the embodiment of the present application is set according to the common clinical threshold value and the patient's bioelectric signal. Conversely, the threshold corresponding to the biometric value is set according to the negative correlation with the bioelectric signal, and the principle is the same. For example, when the biometric value is greater than the first threshold, it means that the biometric value is too high and the stimulation intensity needs to be increased. When the biometric value is less than the first threshold, it means that the biometric value is too low and the stimulation intensity needs to be reduced. The principle of setting dual thresholds is the same.
[0070] In some embodiments, the first control module 111 is specifically configured to perform at least one of the following: If it is determined to increase the stimulation intensity of the target area, the current stimulation parameter information is switched to the next stimulation parameter information from the stimulation parameter information set according to the arrangement order of each stimulation parameter information, and the next stimulation parameter information is used as the adjusted stimulation parameter information; If it is determined to reduce the stimulation intensity of the target area, the current stimulation parameter information is switched to the previous stimulation parameter information from the stimulation parameter information set according to the arrangement order of each stimulation parameter information, and the previous stimulation parameter information is used as the adjusted stimulation parameter information; Among them, each stimulation parameter information is arranged in the stimulation parameter information set in order from small to large according to the stimulation intensity.
[0071] In the embodiment of the present application, a stimulation parameter information set may be preset, and the stimulation parameter information may be switched and selected in the stimulation parameter information set, and the stimulation parameter information set may be obtained through a machine learning model.
[0072] In some embodiments, the second control module 112 is specifically configured to determine, based on the multiple biometric feature values within the first predetermined time, a change rate, a mean value, or a variance of the multiple biometric feature values as the detection feature value.
[0073] In some embodiments, the detection threshold is any one of a fourth threshold, a fifth threshold, and a sixth threshold; The second control module 112 is specifically configured to adjust at least one detection parameter in the target detection parameter set at least once if the detection result meets a predetermined condition; Meeting the pre-order conditions includes any of the following: When the detection feature value is an average of multiple biological feature values, the difference between the current detection feature value and the previous detection feature value exceeds a fourth threshold; When the detection feature value is a change rate of multiple biological feature values, the current detection feature value exceeds a fifth threshold; When the detection feature value is the variance of a plurality of biological feature values, the current detection feature value exceeds a sixth threshold.
[0074] Optionally, the fourth threshold, the fifth threshold and the sixth threshold are preset values and can be set according to data in practice.
[0075] See also Figure 4 As shown, the present application embodiment provides a schematic diagram of an application scenario of a third stimulation system 1. Figure 4 As shown, the second control module 112 includes a second controller 1121, a second comparator 1122 and a second algorithm module 1123; the second algorithm module 1123 can determine the detection feature value according to the biometric feature value output by the first algorithm module 1113; the second comparator 1122 can compare the detection feature value and the detection threshold to output the detection result, and send the detection result to the second controller 1121. The second controller 1121 controls the first comparator 1112 and the first algorithm module 1113 to adjust the corresponding detection parameters based on the detection result. The first comparator 1112 adjusts the preset threshold, and the first algorithm module 1113 can adjust the first detection window width.
[0076] The embodiment of the present application can monitor the second-order characteristics of the biomarker for a long time, monitor the rate of change (or mean and variance) of the biomarker, and use it to reflect the stability level of the biomarker. The monitoring cycle is to conduct an evaluation every 24 hours and compare it with the preset second-order characteristic threshold. The detection characteristic value of the embodiment of the present application is to monitor the long-term baseline level of the biomarker, and decide whether to continue adjusting the detection parameters based on whether the fluctuation of the long-term baseline level is less than the detection threshold.
[0077] In some embodiments, the detection parameter set includes a first detection window width and a preset threshold value, wherein the first detection window width is used to indicate sampling of a physiological signal within a second predetermined time to obtain a biological characteristic value; the preset threshold value is a threshold value for the biological characteristic value, and the preset threshold value may be the first threshold value of the embodiment of the present application, or the second threshold value and the third threshold value; The second control module 112 is specifically configured to perform at least one of the following: In each adjustment cycle, the first detection window width of the target detection parameter set is shortened by a first predetermined unit time; in each adjustment cycle, the preset threshold of the target detection parameter set is reduced by a first predetermined unit value.
[0078] Specifically, the first detection window width is a detection cycle for the physiological signal, and the embodiment of the present application performs processing and analysis and judgment based on the biological characteristic value obtained within the first detection window width.
[0079] The embodiment of the present application can modify the detection parameters of the detection parameter set, and the modification strategy includes adjusting the first detection window width (which can be increased or decreased by 10 minutes on the original basis), or adjusting the preset threshold size (which can be increased or decreased by 0.05 on the original basis).
[0080] Optionally, the first predetermined unit time may be 5 seconds, 10 seconds, etc., and the first predetermined unit value may be 0.05. The specific numerical settings of the embodiments of the present application may be adaptively adjusted in practical applications. The numerical values of the embodiments of the present application are only used as examples and do not limit the protection scope of the present application.
[0081] Optionally, the detection parameter set may also include a second detection window width and a detection threshold, the second detection window width is used to indicate that multiple biometric feature values within a first predetermined time are analyzed to determine the detection feature value; the detection threshold is a threshold for the detection feature value, and the detection threshold may be any one of the fourth threshold, the fifth threshold and the sixth threshold in the embodiment of the present application.
[0082] Optionally, the second control module 112 is specifically configured to: adjust any one of the second detection window width and the detection threshold in each adjustment period.
[0083] Optionally, when the detection result meets a predetermined condition, the second detection window width of the target detection parameter set is shortened by a second unit time, and the detection threshold of the target detection parameter set is reduced by a second predetermined unit value.
[0084] The second detection window width is a detection period for the biological characteristic value. The embodiment of the present application performs analysis and judgment based on the detection characteristic value obtained within the second detection window width.
[0085] Optionally, the second predetermined unit time may be 5 seconds, 10 seconds, etc., and the second predetermined unit value may be 0.05. The specific numerical settings of the embodiments of the present application may be adaptively adjusted in practical applications. The numerical values of the embodiments of the present application are only used as examples and do not limit the scope of protection of the present application.
[0086] The embodiment of the present application sets detection parameter sets corresponding to different stimulation schemes in a preset stimulation scheme. Then, the physiological signal is detected at the set frequency, and based on the detected biological characteristic value, it is determined whether to switch the stimulation scheme according to the preset conditions. At the same time, the long-term baseline level of the biological characteristic value is evaluated periodically. When the long-term baseline level fluctuates beyond the detection threshold σ, the detection parameter set can be modified, and the modified detection parameter set is reapplied to the subsequent detection and stimulation scheme adjustment process.
[0087] The detection window width of the embodiment of the present application may include a first detection window width for a biometric characteristic value, and may also include a second detection window width for a detection characteristic value. The detection characteristic value is a feature re-extraction based on the biometric characteristic value. The embodiment of the present application is to extract features from the original signal to obtain a biometric characteristic value. In order to judge the biometric characteristic value, a preset threshold is introduced; based on the biometric characteristic value, features are extracted again to obtain a detection characteristic value. In order to judge the detection characteristic value, a detection threshold is introduced. The detection window widths of these two levels may be different. When the biometric characteristic value exceeds the preset threshold, the stimulation device 10 adjusts the stimulation scheme; when the detection characteristic value exceeds the detection threshold, the stimulation device 10 adjusts the extraction algorithm of the first algorithm module 1113 of the biometric characteristic value and the preset threshold.
[0088] As an example, the embodiment of the present application provides an automatic adjustment method for synchronously optimizing detection parameters and stimulation schemes based on the stimulation device 10. The embodiment of the present application takes the energy value of the EEG signal as an example of the biometric value. The automatic adjustment method includes the following steps: Step 1: Preset stimulation scheme. Set stimulation scheme 1, corresponding to detection parameter set A, the first detection window width is 30 seconds, and the preset threshold value is 0.8; stimulation scheme 2, corresponding to detection parameter set B, the first detection window width is 60 seconds, and the preset threshold value is 0.9.
[0089] Step 2: Start detecting physiological signals every 10 seconds.
[0090] Step 3: Assuming that the current state is in stimulation scheme 1, the detected biometric value exceeds the preset threshold, and the stimulation scheme 2 is switched.
[0091] Step 4: Assess long-term baseline levels of biometric values every 24 hours.
[0092] Step 5: If the long-term baseline level fluctuation exceeds the detection threshold σ (0.1), for example, the current long-term baseline level is 0.9, the last evaluation was 0.7, and the difference exceeds 0.1, then the detection parameter set of the current stimulation scheme (assuming it is stimulation scheme 2) is modified, for example: the first detection window width is adjusted from 60 seconds to 50 seconds, and the preset threshold size is adjusted from 0.9 to 0.85.
[0093] Step 6: The modified detection parameter set is applied to the subsequent detection and stimulation scheme adjustment process, repeating steps 2 to 5.
[0094] See also Figure 4 As shown, the principle of automatically adjusting the detection parameters and stimulation scheme in the embodiment of the present application is as follows: First stage: the electrode 20 collects the patient's electroencephalogram (EEG) signal, and the first algorithm module 1113 calculates a biological characteristic value associated with the disease based on the EEG signal. The biological characteristic value is compared with a preset threshold to obtain a comparison result. Based on the comparison result, the first controller 1111 outputs a corresponding stimulation signal according to the comparison signal.
[0095] Optionally, the processing of EEG signals also includes a process of eliminating disturbance signals (such as signal disturbances caused by taking medicine, sleeping, exercising, etc.) to obtain a biological feature value that is strongly correlated with the disease.
[0096] Optionally, the magnitude of the stimulation signal is correlated with the comparison result, for example, if it is higher than a preset threshold, the stimulation needs to be reduced, and if it is lower than the preset threshold, the stimulation needs to be increased.
[0097] The second level: After a period of time, the patient's symptoms may improve, worsen, or remain unchanged. Existing technology requires the patient to return for a follow-up visit, and the doctor in the hospital needs to adjust the test parameter set based on the on-site situation.
[0098] The second algorithm module 1123 monitors the changes in the biometric characteristic values of the first algorithm module 1113, i.e., the detection characteristic values in the figure (such as the change rate), in real time, and compares the detection characteristic values with the detection thresholds to obtain detection results. The second controller 1121 controls the detection parameters and / or preset thresholds in the first algorithm module 1113 to make adjustments according to the detection results to adapt to the changes in the patient and obtain more realistic biometric characteristic values associated with the disease.
[0099] The embodiments of the present application may adopt an adaptive algorithm module to dynamically select or adjust the stimulation scheme and the corresponding detection parameter set according to the monitoring results. The algorithm may automatically learn and optimize the parameters according to the changes in the biomarker levels.
[0100] In practical applications, the embodiment of the present application may also adopt a method for synchronously optimizing detection parameters and stimulation schemes based on machine learning. The machine learning model is used to predict the changing trend of physiological characteristic values, and the stimulation scheme and detection parameters are adjusted accordingly. The stimulation system 1 of the embodiment of the present application may also include: a data collection system, a machine learning model, a stimulation scheme library, etc.
[0101] 1) The data collection system is responsible for collecting historical data of biological signals and the corresponding stimulation scheme effects.
[0102] 2) The machine learning model is trained based on the data collected by the data collection system to predict the changing trends of the physiological characteristic values and recommend stimulation schemes and detection parameter sets.
[0103] 3) The stimulation scheme library contains a variety of preset stimulation schemes, each of which corresponds to a set of detection parameters.
[0104] Furthermore, considering that the processing of EEG signals also includes the process of eliminating disturbance signals (such as signal disturbances caused by taking medicine, sleeping, exercising, etc.), a biological feature value strongly related to the disease can be obtained. The stimulation unit 110 is also configured as at least one of the following: In response to the setting operation of the anti-interference mode, stopping collecting physiological signals through at least one electrode 20; In response to the exit operation of the anti-interference mode, the physiological signal collected by the at least one electrode 20 is acquired.
[0105] The embodiment of the present application can improve detection accuracy by setting an anti-interference mode to eliminate fluctuations in physiological signals caused by taking medicine, sleeping, exercising, etc.
[0106] See also Figure 5 As shown, the present embodiment provides a schematic diagram of the framework of a fourth stimulation system 1. The stimulation system 1 also includes: an anti-interference button 30.
[0107] The anti-interference button 30 is electrically connected to the stimulation unit 110, and the anti-interference button 30 is configured to send first setting information to the stimulation unit 110 in response to a first trigger operation, so that the stimulation unit 110 sets the anti-interference mode based on the first setting information; and send second setting information to the stimulation unit 110 in response to a second trigger operation, so that the stimulation unit 110 exits the anti-interference mode based on the second setting information.
[0108] In the embodiment of the present application, the setting and exit of the anti-interference mode can be controlled by a button, so that the patient can set it according to the current actual situation, thereby obtaining a biological feature value that is strongly correlated with the disease.
[0109] See also Figure 6As shown, the present embodiment provides a schematic diagram of the framework of a fifth stimulation system 1. The stimulation system 1 further includes: a detection unit 40.
[0110] The detection unit 40 is electrically connected to the stimulation unit 110, and the detection unit 40 is configured to detect physiological characteristics of the target object. If it is determined to be in an interference state based on the physiological characteristics, the first detection information is sent to the stimulation unit 110 so that the stimulation unit 110 sets an anti-interference mode based on the first detection information; the physiological characteristics include at least one of the following: heart rate, blood pressure, and body temperature.
[0111] Optionally, if the detection unit 40 determines that the non-interference state is in place based on the physiological characteristics, the detection unit 40 is configured to send second detection information to the stimulation unit 110 so that the stimulation unit 110 exits the anti-interference mode based on the second detection information.
[0112] The embodiment of the present application can detect the physiological state of the target object in real time through the detection unit 40, so as to automatically set and exit the anti-interference mode and obtain a biological characteristic value that is strongly correlated with the disease.
[0113] The dual closed-loop strategy adopted in the embodiment of the present application not only ensures the accuracy and effectiveness of the stimulation, but also improves the efficiency of disease signal recognition through adaptive detection. It realizes closed-loop control in both the stimulation link and the detection link, thus forming a dynamic system that can adjust the stimulation scheme according to the patient's specific response and optimize the signal detection process in real time. The design of the embodiment of the present application helps to meet the patient's treatment needs more accurately, while improving the safety and reliability of the entire treatment process.
[0114] The first control module 111 and / or the second control module 112 may be a CPU (Central Processing Unit), a general processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present application. The first control module 111 and / or the second control module 112 may also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.
[0115] Based on the above technical solutions, compared with the prior art, the embodiments of the present application mainly solve the following technical problems: (1) the lack of synchronous optimization mechanism for detection parameters and stimulation schemes, resulting in low matching degree and inability to achieve optimal detection and stimulation effects; (2) the technical problem that the traditional detection system relies only on fixed detection parameters and does not consider changes in stimulation schemes, which limits the adaptability and flexibility of the system; (3) the technical problem that the stimulation scheme adjustment is based on experience rather than precise physiological data, resulting in inaccurate stimulation schemes and unstable effects; (4) the technical problem that manual adjustment and optimization of detection parameters and stimulation schemes are inefficient and difficult to achieve precise synchronous optimization; (5) the technical problem that manual adjustment is affected by the operator's experience and subjective judgment, resulting in inconsistency and unreliability of optimization results; and (6) the technical problem that simple algorithms cannot handle complex physiological data and changing stimulation environments, resulting in inaccurate and inapplicable adjustment results.
[0116] The application of the present invention can at least achieve the following technical effects: (1) Improving detection accuracy: The stimulation device 10 of the embodiment of the present application can more accurately detect physiological markers and improve detection and stimulation effects by synchronously optimizing detection parameters and stimulation schemes.
[0117] (2) Enhance the adaptability of the stimulation scheme: The stimulation device 10 of the embodiment of the present application can dynamically adjust the stimulation scheme according to the level of the biomarker, so that the stimulation scheme is more in line with individual differences and the stimulation effect is improved.
[0118] (3) Reducing the misdiagnosis rate: The stimulation device 10 of the embodiment of the present application can effectively reduce the occurrence of misdiagnosis by monitoring the long-term baseline level of the biomarker and adjusting the detection parameter set according to the fluctuation.
[0119] (4) Improved efficiency: The stimulation device 10 of the embodiment of the present application adopts an automatic adjustment method to reduce manual intervention, save time and resources, and improve overall work efficiency.
[0120] (5) Improved flexibility and scalability: The stimulation device 10 of the embodiment of the present application can flexibly adjust detection parameters and stimulation schemes according to different application scenarios and requirements, and has good scalability.
[0121] It should be understood that, although each operation step is indicated by arrows in the flowchart of the embodiment of the present application, the implementation order of these steps is not limited to the order indicated by the arrows. Unless clearly stated herein, in some implementation scenarios of the embodiment of the present application, the implementation steps in each flowchart can be performed in other orders according to demand. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on actual implementation scenarios. Some or all of these sub-steps or stages may be executed at the same time, and each sub-step or stage in these sub-steps or stages may also be executed at different times respectively. In different scenarios of execution time, the execution order of these sub-steps or stages may be flexibly configured according to demand, and the embodiment of the present application does not limit this.
[0122] In the embodiments of the present application, the term "module" or "unit" refers to a computer program or a part of a computer program that has a predetermined function and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories), or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.
[0123] The above is only an optional implementation method for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the solution of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.
Claims
1. A stimulation device, characterized in that include: a stimulation unit, configured to be electrically connected to at least one electrode, and configured to determine a target detection parameter set based on a correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set when switching the current stimulation parameter information to the adjusted stimulation parameter information; Based on each detection parameter in the target detection parameter set, a physiological signal collected by at least one of the electrodes is detected, and based on the detection result, it is determined whether to adjust at least one detection parameter in the target detection parameter set.
2. The stimulation device according to claim 1, characterized in that The stimulation unit is specifically configured to sample the physiological signal collected by at least one of the electrodes based on each detection parameter in the target detection parameter set to determine a biological characteristic value; determine a detection characteristic value based on a plurality of the biological characteristic values within a first predetermined time, and determine the detection result based on the detection characteristic value and a detection threshold corresponding to the target detection parameter set; The detection characteristic value is used to characterize the stability level of the biological characteristic value within the first predetermined time.
3. The stimulation device according to claim 2, characterized in that The physiological signal is an electroencephalogram signal, and the biological characteristic value includes any one of the following: an energy value, a line length value, and an area value in a predetermined frequency band.
4. The stimulation device according to claim 2, characterized in that The stimulation unit comprises: a first control module, which is electrically connected to at least one of the electrodes and is configured to, when switching the current stimulation parameter information to the adjusted stimulation parameter information, determine the target detection parameter set based on the correspondence between the adjusted stimulation parameter information and the preset stimulation parameter information and the detection parameter set; and, based on each detection parameter in the target detection parameter set, sample the physiological signal collected by at least one of the electrodes to determine a biological characteristic value; The second control module is electrically connected to the first control module and is configured to determine a detection feature value based on a plurality of the biometric feature values obtained from the first control module within a first predetermined time; determine a detection result based on the detection feature value and a detection threshold corresponding to a target detection parameter set; and determine whether to adjust at least one detection parameter in the target detection parameter set based on the detection result.
5. The stimulation device according to claim 4, characterized in that The first control module is further configured to do at least one of the following: Using the adjusted stimulation parameter information as current stimulation parameter information, and controlling at least one of the electrodes to output a stimulation signal to the target area based on the current stimulation parameter information; Whether to switch the current stimulation parameter information is determined based on the biometric value.
6. The stimulation device according to claim 5, characterized in that The detection parameter set includes a first threshold value, and the first threshold value serves as a detection parameter; The first control module is specifically configured to perform at least one of the following: If the biometric characteristic value is greater than a first threshold, determining to reduce the stimulation intensity of the target area, and switching the current stimulation parameter information to the adjusted stimulation parameter information; If the biometric characteristic value is less than the first threshold, it is determined to increase the stimulation intensity of the target area, and the current stimulation parameter information is switched to the adjusted stimulation parameter information.
7. The stimulation device according to claim 5, characterized in that The detection parameter set includes a second threshold and a third threshold; the second threshold and the third threshold are respectively used as a detection parameter, and the second threshold is greater than the third threshold; The first control module is specifically configured to perform at least one of the following: If the biometric value is greater than a second threshold, determining to reduce the stimulation intensity of the target area, and switching the current stimulation parameter information to the adjusted stimulation parameter information; If the biological characteristic value is not greater than a third threshold, determining to increase the stimulation intensity of the target area, and switching the current stimulation parameter information to the adjusted stimulation parameter information; If the biometric characteristic value is not greater than the second threshold value and greater than the third threshold value, the current stimulation parameter information is not adjusted.
8. The stimulation device according to claim 6 or 7, characterized in that The first control module is specifically configured to perform at least one of the following: If it is determined to increase the stimulation intensity of the target area, the current stimulation parameter information is switched to the next stimulation parameter information from the stimulation parameter information set according to the arrangement order of each stimulation parameter information, and the next stimulation parameter information is used as the adjusted stimulation parameter information; If it is determined to reduce the stimulation intensity of the target area, the current stimulation parameter information is switched to the previous stimulation parameter information from the stimulation parameter information set according to the arrangement order of each stimulation parameter information, and the previous stimulation parameter information is used as the adjusted stimulation parameter information; Among them, each piece of stimulation parameter information is arranged in the stimulation parameter information set in order from small to large according to the stimulation intensity.
9. The stimulation device according to claim 4, characterized in that The second control module is specifically configured as follows: Based on the multiple biological feature values within the first predetermined time, the change rate, mean value or variance of the multiple biological feature values is determined as the detection feature value.
10. The stimulation device according to claim 9, characterized in that The detection threshold is any one of the fourth threshold, the fifth threshold and the sixth threshold; The second control module is specifically configured to adjust at least one detection parameter in the target detection parameter set at least once if the detection result satisfies a predetermined condition; The predetermined condition is met, including any of the following: When the detection feature value is an average of a plurality of the biological feature values, a difference between the current detection feature value and the previous detection feature value exceeds a fourth threshold; When the detection feature value is a change rate of a plurality of the biometric feature values, the current detection feature value exceeds a fifth threshold; When the detection feature value is the variance of a plurality of the biological feature values, the current detection feature value exceeds a sixth threshold.
11. The stimulation device according to claim 10, characterized in that The detection parameter set includes a first detection window width and a preset threshold value, wherein the first detection window width is used to indicate sampling of a physiological signal within a second predetermined time to obtain a biological characteristic value; and the preset threshold value is a threshold value for the biological characteristic value; The second control module is specifically configured to perform at least one of the following: In each adjustment cycle, shortening a first detection window width of the target detection parameter set by a first predetermined unit time; In each adjustment cycle, the preset threshold of the target detection parameter set is reduced by a first predetermined unit value.
12. The stimulation device according to claim 1, characterized in that The stimulation unit is further configured to at least one of the following: In response to the setting operation of the anti-interference mode, stopping collecting physiological signals through at least one electrode; In response to the exit operation of the anti-interference mode, a physiological signal collected by at least one electrode is acquired.
13. A stimulation system, characterized in that: include: at least one electrode and a stimulation device as claimed in any one of claims 1 to 12; Each of the electrodes includes at least one contact, each of the contact is electrically connected to the stimulation unit, and each of the contact is used to collect physiological signals and / or output stimulation signals under the control of the stimulation unit.
14. The stimulation system according to claim 13, characterized in that Also includes: An anti-interference button is electrically connected to the stimulation unit and is configured to, in response to a first trigger operation, send first setting information to the stimulation unit so that the stimulation unit sets an anti-interference mode based on the first setting information; and in response to a second trigger operation, send second setting information to the stimulation unit so that the stimulation unit exits the anti-interference mode based on the second setting information.
15. The stimulation system according to claim 13, characterized in that Also includes: The detection unit is electrically connected to the stimulation unit and is configured to detect physiological characteristics of the target object. If it is determined to be in an interference state based on the physiological characteristics, first detection information is sent to the stimulation unit so that the stimulation unit sets an anti-interference mode based on the first detection information; the physiological characteristics include at least one of the following: heart rate, blood pressure, and body temperature.