Individualized nerve regulation and control guiding device based on autonomic nerve function evaluation

Abstract

The invention provides an individualized nerve regulation and control guiding device based on autonomic nerve function evaluation. The method is applied to neural data processing. The method comprises an information acquisition module used for acquiring basic information and a resting state baseline index characteristic value of a target object; the initial stimulation strategy determination module is used for determining an initial stimulation strategy based on the basic information and the resting state baseline index characteristic value; the target index characteristic value acquisition module is used for acquiring a target index characteristic value when the target object is stimulated according to the initial stimulation strategy; the stimulation analysis module is used for analyzing whether the initial stimulation strategy reaches a target standard or not based on the resting state baseline index characteristic value and the target index characteristic value; and the self-adaptive adjustment module is used for adjusting the initial stimulation strategy by utilizing a preset self-adaptive adjustment algorithm if the initial stimulation strategy does not reach the target standard to obtain a target stimulation strategy. According to the invention, a more accurate personalized nerve regulation and control stimulation strategy is provided for the target object.

Description

Technical Field

[0001] The present invention relates to the field of neural data processing, and in particular to an individualized neural regulation and guidance device based on autonomic nervous function assessment. Background Art

[0002] As an advanced medical intervention, neuromodulation technology has demonstrated significant value and broad application prospects in the treatment of neuropsychiatric disorders such as depression, anxiety, refractory obsessive-compulsive disorder, Alzheimer's disease, stroke rehabilitation, and epilepsy. This technology precisely intervenes and regulates the electrical activity of neurons in specific brain regions of the patient's central nervous system or neural pathways in the peripheral nervous system.

[0003] Existing neuromodulation programs are mostly developed based on standardized medical interventions based on clinical diagnosis and evidence-based medicine recommendations in clinical guidelines. However, due to significant individual differences in disease manifestations, physiological responses, and treatment responsiveness among patients, standardized neuromodulation interventions fail to fully account for these individual differences, resulting in suboptimal results. Summary of the Invention

[0004] In view of this, on the one hand, the present invention provides an individualized neural regulation and guidance device based on autonomic nervous function assessment, including: an information acquisition module, used to collect basic information and resting-state baseline indicator characteristic values ​​of the target object, the resting-state baseline indicator characteristic values ​​are used to characterize the baseline value of the autonomic nervous function of the target object; an initial stimulation strategy determination module, used to determine the initial stimulation strategy based on the basic information and the resting-state baseline indicator characteristic values; a target indicator characteristic value acquisition module, used to collect the target indicator characteristic values ​​when stimulating the target object according to the initial stimulation strategy; a stimulation analysis module, used to analyze whether the initial stimulation strategy meets the target standard based on the resting-state baseline indicator characteristic values ​​and the target indicator characteristic values; an adaptive adjustment module, used to adjust the initial stimulation strategy using a preset adaptive adjustment algorithm to obtain a target stimulation strategy if the initial stimulation strategy does not meet the target standard.

[0005] Optionally, the initial stimulation strategy determination module includes: an initial stimulation target determination submodule, used to determine the initial stimulation target based on basic information and resting state baseline indicator characteristic values; an initial stimulation parameter determination submodule, used to determine the initial stimulation parameters based on the initial stimulation target; and an initial stimulation strategy generation submodule, used to generate the initial stimulation strategy based on the initial stimulation parameters and the initial stimulation target.

[0006] Optionally, the target indicator characteristic value acquisition module includes: a physiological signal monitoring submodule, used to monitor the physiological signals of the target object during and after the stimulation within a preset time; a target indicator characteristic value extraction submodule, used to extract the target indicator characteristic value from the physiological signal using a dynamic time window method.

[0007] Optionally, the stimulation analysis module is specifically used to: determine whether the target indicator characteristic value greater than or equal to the preset characteristic value reaches a first preset ratio; if the target indicator characteristic value greater than or equal to the preset characteristic value reaches the first preset ratio, then determine that the initial stimulation strategy reaches the target standard; if the target indicator characteristic value greater than or equal to the preset characteristic value does not reach the first preset ratio, then determine that the initial stimulation strategy does not reach the target standard; or, calculate the target change rate based on the resting state baseline indicator characteristic value and the target indicator characteristic value, determine whether the target change rate greater than or equal to the preset change rate threshold reaches a second preset ratio, if the target change rate greater than or equal to the preset change rate threshold reaches the second preset ratio , then the initial stimulation strategy is judged to have reached the target standard. If the target change rate that is greater than or equal to the preset change rate threshold does not reach the second preset proportion, then the initial stimulation strategy is judged to have not reached the target standard; or, a difference test is performed based on the characteristic value of the resting baseline indicator and the characteristic value of the target indicator to obtain a significance probability value, and it is judged whether the significance probability value that is less than or equal to the preset significance probability value reaches a third preset proportion. If the significance probability value that is less than or equal to the preset significance probability value reaches the third preset proportion, then the initial stimulation strategy is judged to have reached the target standard. If the significance probability value that is less than or equal to the preset significance probability value does not reach the third preset proportion, then the initial stimulation strategy is judged to have not reached the target standard.

[0008] Optionally, the adaptive adjustment module includes: a first target stimulation parameter determination submodule, which is used to select an objective function according to the initial stimulation target, calculate the gradient of the initial stimulation parameters based on the objective function, and update the initial stimulation parameters based on the direction of the gradient. When the update amplitude of the initial stimulation parameters is less than the preset update amplitude or the number of updates reaches a preset maximum number of updates, the update is stopped to obtain the target stimulation parameters of the adjusted stimulation target; and a first adaptive adjustment submodule, which is used to generate a target stimulation strategy based on the target stimulation parameters and the stimulation target.

[0009] Optionally, the adaptive adjustment module also includes: a second target stimulation parameter determination submodule, which is used to set an adjustment reward mechanism based on the initial stimulation target and the initial stimulation parameters, and use a reinforcement learning algorithm to adjust the initial stimulation parameters according to the adjustment reward mechanism until the error between the reward and the preset maximum reward is less than the preset error, and the adjusted stimulation parameters are determined as the target stimulation parameters of the adjusted stimulation target; a second adaptive adjustment submodule, which is used to generate a target stimulation strategy based on the target stimulation parameters and the stimulation target.

[0010] Optionally, the adaptive adjustment module further includes: a target stimulation parameter adjustment submodule, configured to determine whether the target stimulation parameter is within a preset range; if the target stimulation parameter is not within the preset range, adjusting the target stimulation parameter according to the preset constraint and the step adjustment range.

[0011] Optionally, the present invention provides an individualized neural regulation and guidance device based on autonomic nervous function assessment, which also includes: a verification module, which is used to replace the initial stimulation strategy with the target stimulation strategy, and drive the target indicator characteristic value acquisition module, the stimulation analysis module and the adaptive adjustment module to perform corresponding steps to verify the target stimulation strategy; a stimulation strategy determination module, which is used to determine the target stimulation strategy that meets the target standard as the final stimulation strategy.

[0012] Optionally, the stimulation strategy determination module includes: an iteration number evaluation submodule, which is used to record the number of adjustments of the target stimulation parameters of the adaptive adjustment module under the same stimulation target during each stimulation process, and to determine whether the number of adjustments is greater than a preset maximum number of adjustments; a final stimulation strategy determination submodule, which is used to determine that the current target stimulation strategy is invalid if the number of adjustments reaches the preset maximum number of adjustments and the stimulation analysis module analyzes that the stimulation implemented on the target object does not meet the target standard; if the stimulation analysis module analyzes that the stimulation implemented on the target object meets the target standard and the number of adjustments is less than or equal to the preset maximum number of adjustments, the target stimulation parameters and stimulation target implemented on the target object are determined as the final stimulation strategy.

[0013] Optionally, the individualized neural regulation and guidance device based on autonomic nervous function assessment provided by the present invention further includes: a target stimulation strategy judgment module, which is used to change the stimulation target when it is determined that the current target stimulation strategy is invalid.

[0014] In the personalized neuromodulation guidance device based on autonomic nervous function assessment provided by the present invention, the information acquisition module comprehensively collects the basic information of the target subject and accurately collects characteristic values ​​reflecting the baseline of autonomic nervous function, providing a rich and personalized data foundation for subsequent modules. Based on the information obtained by the information acquisition module, the initial stimulation strategy determination module can formulate an initial stimulation strategy that fits the individual situation of the target subject, realizing personalized customization of neuromodulation. The target indicator characteristic value acquisition module collects the target subject data of the stimulation in real time and obtains the target indicator characteristic values, providing real-time and dynamic information for subsequent analysis. The stimulation analysis module compares and analyzes the resting baseline indicator characteristic values ​​with the target indicator characteristic values, and can quickly and accurately determine whether the initial stimulation strategy meets the target standard, realizing real-time evaluation of the initial stimulation strategy. If the initial stimulation strategy does not meet the standard, the adaptive adjustment module will quickly activate the preset adaptive adjustment algorithm to optimize and adjust the initial stimulation strategy and generate a new target stimulation strategy. Through real-time feedback and adaptive adjustment mechanisms, the modules of this device greatly improve the efficiency of neuromodulation, ensuring that a more accurate personalized neuromodulation stimulation strategy is provided to the target subject. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 This is a structural diagram of a first individualized neural regulation and guidance device based on autonomic nervous function assessment in an embodiment of the present invention; Figure 2 4 is a structural diagram of a second individualized neural regulation and guidance device based on autonomic nervous function assessment in an embodiment of the present invention; Figure 3 This is a structural diagram of a third individualized neural regulation and guidance device based on autonomic nervous function assessment in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0019] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components; wireless connections or wired connections. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0020] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0021] like Figure 1 As shown, an embodiment of the present invention provides an individualized neural regulation and guidance device 100 based on autonomic nervous function assessment. The device can be applied to various electronic devices, including: The information collection module 101 is used to collect basic information and resting state baseline index characteristic values ​​of the target object. The resting state baseline index characteristic values ​​are used to represent the baseline value of the autonomic nervous function of the target object.

[0022] The basic information of the target object may be basic demographic information of the target object (such as age, gender, height, weight, etc.), and may also include past history, current status indicators, relevant test data, medical intervention data and other information.

[0023] The acquisition of resting-state baseline indicator characteristic values ​​involves collecting physiological signals from a target subject at a high sampling frequency (e.g., at least 1kHz) for 5-10 minutes while the subject is quiet, relaxed, and free from specific external tasks or stimuli through a connected physiological multichannel device. The physiological signals are then filtered, baseline corrected, and feature extracted to obtain resting-state baseline indicator characteristic values, which are used to represent the baseline value of the subject's autonomic nervous system function. Feature extraction includes, but is not limited to, heart rate, heart rate variability characteristics (root mean square deviation, standard deviation, low-frequency power, high-frequency power), galvanic skin response (instantaneous conductance change, average conductance level), respiration (average number of breaths, respiratory irregularity), blood oxygen saturation, blood pressure (average systolic and diastolic pressure), and EEG (average EEG power). Real-time recording of emotional state and pain levels is also possible.

[0024] The initial stimulation strategy determination module 102 is configured to determine an initial stimulation strategy based on basic information and resting state baseline indicator characteristic values.

[0025] The initial stimulation strategy determination module 102 is configured to determine an initial stimulation strategy based on the basic information and resting state baseline indicator characteristic values ​​acquired by the information acquisition module 101. For example, the initial stimulation strategy is determined based on past history and corresponding baseline characteristic values.

[0026] The target indicator characteristic value collection module 103 is used to collect the target indicator characteristic value when stimulating the target object according to the initial stimulation strategy.

[0027] When stimulating the target subject using the relevant stimulation device according to the initial stimulation strategy, the target indicator characteristic value acquisition module 103 is used to collect target subject data in real time by connecting to the stimulation device, thereby obtaining target indicator characteristic values. These target indicator characteristic values ​​can reflect the changes in the target subject's physical and neural function after receiving stimulation. The specific target indicator characteristic values ​​can be extracted based on the characteristic type of the resting-state baseline indicator characteristic value, and the target indicator characteristic values ​​include several types of indicator characteristic values.

[0028] The stimulation analysis module 104 is used to analyze whether the initial stimulation strategy meets the target standard based on the resting state baseline indicator characteristic value and the target indicator characteristic value.

[0029] The stimulation analysis module 104 is used to analyze the resting baseline indicator characteristic values ​​in a state without stimulation interference collected by the information collection module 101 and the target indicator characteristic values ​​under stimulation collected by the target indicator characteristic value collection module 103, so as to determine whether the initial stimulation strategy meets the established standards.

[0030] The adaptive adjustment module 105 is configured to adjust the initial stimulation strategy using a preset adaptive adjustment algorithm to obtain a target stimulation strategy if the initial stimulation strategy fails to meet the target standard.

[0031] If the initial stimulation strategy does not meet the preset target standard, the adaptive adjustment module 105 is used to start the preset adaptive adjustment algorithm to adjust and optimize the initial stimulation strategy. After adjustment, a new stimulation strategy is finally obtained. This new stimulation strategy is the target stimulation strategy. The purpose is to make the stimulation strategy better meet the target standard. The relevant stimulation equipment can be used to stimulate the target object according to the newly obtained target stimulation strategy.

[0032] In the personalized neuromodulation guidance device based on autonomic nervous function assessment provided in this embodiment, the information acquisition module comprehensively collects basic information about the target subject and accurately collects characteristic values ​​reflecting the baseline of autonomic nervous function, providing a rich and personalized data foundation for subsequent modules. Based on the information obtained by the information acquisition module, the initial stimulation strategy determination module can formulate an initial stimulation strategy tailored to the individual conditions of the target subject, thus achieving personalized neuromodulation. The target indicator characteristic value acquisition module collects data on the target subject undergoing stimulation in real time and obtains target indicator characteristic values, providing real-time, dynamic information for subsequent analysis. The stimulation analysis module compares and analyzes the resting-state baseline indicator characteristic values ​​with the target indicator characteristic values, quickly and accurately determining whether the initial stimulation strategy meets the target standard, thus achieving real-time evaluation of the initial stimulation strategy. If the initial stimulation strategy does not meet the standard, the adaptive adjustment module quickly activates a preset adaptive adjustment algorithm to optimize and adjust the initial stimulation strategy and generate a new target stimulation strategy. Through real-time feedback and adaptive adjustment mechanisms, each module of this device greatly improves the efficiency of neuromodulation, ensuring a more precise and personalized neuromodulation stimulation strategy for the target subject.

[0033] In some optional implementations of this embodiment, the initial stimulation strategy determination module 102 includes: The initial stimulation target determination submodule is used to determine the initial stimulation target based on basic information and resting state baseline indicator characteristic values.

[0034] The initial stimulation target determination submodule comprehensively compares and analyzes the target subject's basic information and resting-state baseline indicator eigenvalues ​​with those of a standard subject to determine the initial stimulation target, that is, the initial stimulation direction. For example, comparing the eigenvalues ​​of a target subject with depression with those of a healthy population revealed a higher heart rate and lower heart rate variability. Based on this, it is clear that the initial stimulation target is to lower heart rate and increase heart rate variability.

[0035] The initial stimulation parameter determination submodule is used to determine the initial stimulation parameters based on the initial stimulation target.

[0036] The initial stimulation parameter determination submodule determines the initial stimulation type and parameters based on the initial stimulation target. For example, for a patient with depressive disorders, if the initial stimulation target is to reduce heart rate and increase heart rate variability, the initial stimulation parameter determination submodule will use empirical data to determine the initial stimulation type and parameters. For example, one might choose transcranial direct current stimulation (TCS) with a current intensity of 1-2 mA and a single stimulation duration of 20-40 minutes, or transcutaneous vagus nerve stimulation with a stimulation frequency of 25 Hz, a pulse width of 100-300 µs, a stimulation intensity of 0.1-1.0 mA, and a single stimulation duration of 10-30 minutes.

[0037] The initial stimulation strategy generation submodule is used to generate an initial stimulation strategy based on initial stimulation parameters and initial stimulation targets.

[0038] The initial stimulation strategy generation submodule is responsible for integrating the initial stimulation target determined by the initial stimulation target determination submodule and the initial stimulation parameters determined by the initial stimulation parameter determination submodule, thereby generating the final initial stimulation strategy.

[0039] In the initial stimulation strategy determination module provided in this embodiment, the initial stimulation target determination submodule can accurately determine the initial stimulation target that meets the individual situation by comparing the characteristic values ​​of the target object and the standard object, reflecting the concept of personalized precision medical intervention. The initial stimulation parameter determination submodule determines the initial stimulation type and parameters scientifically and rationally based on the clear stimulation target, and provides specific and feasible quantitative indicators for the stimulation plan. The initial stimulation strategy generation submodule effectively integrates the target and parameters to generate the final initial stimulation strategy. It can tailor the most suitable initial stimulation strategy for the target object and improve the accuracy of medical intervention.

[0040] In some optional implementations of this embodiment, the target indicator characteristic value acquisition module 103 includes: The physiological signal monitoring submodule is used to monitor the physiological signals of the target object during the stimulation and within a preset time after the stimulation.

[0041] The physiological signal monitoring submodule is used to continuously record the target subject's physiological signals at the beginning and after the stimulation for a certain period of time, such as a preset time of 30 to 60 minutes. In addition, the target subject's brain imaging information can also be monitored.

[0042] The target characteristic index eigenvalue extraction submodule is used to extract the target indicator eigenvalue from the physiological signal using the dynamic time window method.

[0043] The target indicator feature value extraction submodule can use dynamic time window methods such as moving average window and sliding time window to extract the target indicator feature value in the physiological signal in real time.

[0044] In the target indicator characteristic value acquisition module provided in this embodiment, the physiological signal monitoring submodule continuously monitors and records the target subject's physiological signals during and after stimulation for a preset period of time, ensuring comprehensive and dynamic capture of changes in the target subject's physiological state during and after the stimulation process, providing a rich and continuous data foundation for subsequent analysis. The target indicator characteristic value extraction submodule utilizes a dynamic time window method to accurately and in real time extract target indicator characteristic values ​​from monitored physiological signals, helping to timely and accurately grasp changes in the target subject's physiological characteristics under stimulation.

[0045] In some optional implementations of this embodiment, the stimulus analysis module 104 is specifically configured to: Determine whether the target indicator characteristic value greater than or equal to the preset characteristic value reaches the first preset ratio. If the target indicator characteristic value greater than or equal to the preset characteristic value reaches the first preset ratio, then it is determined that the initial stimulation strategy has reached the target standard. If the target indicator characteristic value greater than or equal to the preset characteristic value does not reach the first preset ratio, then it is determined that the initial stimulation strategy has not reached the target standard.

[0046] For example, the preset characteristic value is an empirical threshold, and each target indicator characteristic value corresponds to a preset characteristic value. The first preset ratio can be set according to actual conditions, such as 70%. The stimulation analysis module 104 can be used to determine whether 70% of the target indicator characteristic values ​​are greater than or equal to the preset characteristic value. If so, it can be determined that the initial stimulation strategy meets the target standard. If not, it can be determined that the initial stimulation strategy does not meet the target standard.

[0047] Alternatively, the stimulation analysis module 104 can be used to calculate the target change rate based on the resting state baseline indicator characteristic value and the target indicator characteristic value, and determine whether the target change rate greater than or equal to the preset change rate threshold reaches a second preset proportion. If the target change rate greater than or equal to the preset change rate threshold reaches the second preset proportion, it is determined that the initial stimulation strategy has reached the target standard. If the target change rate greater than or equal to the preset change rate threshold does not reach the second preset proportion, it is determined that the initial stimulation strategy has not reached the target standard.

[0048] The stimulus analysis module 104 may also use the individualized target change rate to perform threshold determination. Specifically, the target change rate is calculated in the following manner: , in, represents the target change rate, represents the characteristic value of the target indicator, Represents the characteristic value of the resting baseline index.

[0049] For example, the preset rate of change threshold is an empirical threshold, and each target indicator characteristic value corresponds to a preset rate of change threshold, such as a target rate of change of 5% for heart rate and 10% for heart rate variability. The second preset ratio can be set based on the ratio of indicators whose target indicator characteristic values ​​reach the preset rate of change threshold (number of indicators reaching the threshold / total number of indicators), such as 70%. The stimulation analysis module 104 can determine whether 70% of the target indicator characteristic values ​​have a rate of change greater than or equal to the preset rate of change threshold. If so, it can be determined that the initial stimulation strategy has met the target standard. If not, it can be determined that the initial stimulation strategy has not met the target standard.

[0050] Alternatively, the stimulation analysis module 104 can be used to perform a difference test based on the resting state baseline indicator characteristic value and the target indicator characteristic value to obtain a significance probability value, and determine whether the significance probability value that is less than or equal to the preset significance probability value reaches a third preset ratio. If the significance probability value that is less than or equal to the preset significance probability value reaches the third preset ratio, it is determined that the initial stimulation strategy has reached the target standard. If the significance probability value that is less than or equal to the preset significance probability value does not reach the third preset ratio, it is determined that the initial stimulation strategy has not reached the target standard.

[0051] The stimulation analysis module 104 can also test the significance of the difference before and after the stimulation. For example, a difference test, such as a paired sample t-test or a Wilcoxon non-parametric test, is performed based on the characteristic value of the resting-state baseline indicator and the characteristic value of the target indicator to calculate a significance probability value p. The significance probability value p calculated from the difference test before and after the stimulation of each indicator is compared with a preset significance probability value (e.g., 0.05) to determine whether a third preset proportion (e.g., 70%) of indicators have a significance probability value less than or equal to the preset significance probability value (e.g., 0.05) in the difference test before and after the stimulation. If so, it can be determined that the initial stimulation strategy meets the target standard. If not, it can be determined that the initial stimulation strategy does not meet the target standard.

[0052] It should be noted that the first preset ratio, the second preset ratio, and the third preset ratio mentioned in the above three methods described in this embodiment can be set according to specific needs, and can be the same or different.

[0053] Moreover, any one of the three uses of the stimulation analysis module 104 can be used to determine whether the initial stimulation strategy has reached the target standard. That is, as long as any one of the methods determines that the initial stimulation strategy has reached the target standard, the subsequent process can be entered.

[0054] This embodiment specifically describes three practical uses of the stimulation analysis module 104, which can effectively evaluate whether the initial stimulation strategy meets the target standard. The first use is to determine whether the target indicator characteristic value greater than or equal to the preset characteristic value reaches the first preset ratio, and can intuitively determine the effectiveness of the initial stimulation strategy based on the comparison between the target indicator characteristic value and the empirical threshold. The second use is to calculate the target change rate based on the resting baseline indicator characteristic value and the target indicator characteristic value, and determine whether the target change rate greater than or equal to the preset change rate threshold reaches the second preset ratio, taking into account the dynamic changes of the characteristic values ​​before and after stimulation, and can more accurately reflect the degree of influence of the initial stimulation strategy on the target object. The third use is to perform a difference test based on the resting baseline indicator characteristic value and the target indicator characteristic value to obtain a significance probability value, and determine whether the significance probability value less than or equal to the preset significance probability value reaches the third preset ratio, and verify the significance of the difference before and after stimulation from a statistical point of view, so that the evaluation result is more scientific and reliable. The three uses provide a multi-dimensional, comprehensive and detailed judgment basis for the evaluation of the initial stimulation strategy.

[0055] In some optional implementations of this embodiment, the adaptive adjustment module 105 includes: The first target stimulation parameter determination submodule is used to select an objective function according to the initial stimulation target, calculate the gradient of the initial stimulation parameters based on the objective function, and update the initial stimulation parameters based on the direction of the gradient. When the update amplitude of the initial stimulation parameters is less than the preset update amplitude or the number of updates reaches the preset maximum number of updates, the update is stopped to obtain the target stimulation parameters of the adjusted stimulation target.

[0056] The first adaptive adjustment submodule is used to generate a target stimulation strategy based on the target stimulation parameters and the stimulation target.

[0057] Specifically, if the three methods adopted by the stimulation analysis module 104 all determine that the initial stimulation strategy does not meet the target standard, the adaptive adjustment module 105 is used to adjust the initial stimulation strategy using a preset adaptive adjustment algorithm.

[0058] First, the first target stimulation parameter determination submodule uses a gradient ascent / descent strategy for adjustment. Specifically, an objective function is selected based on the initial stimulation target. For example, if the initial stimulation target is to maximize heart rate variability, then the objective function can be defined as maximizing heart rate variability. The gradient of the objective function with respect to the initial stimulation parameters (stimulation intensity, frequency, duration, etc.) is calculated through numerical differentiation or automatic differentiation. The initial stimulation parameters are then adjusted and updated in the direction of the gradient, obtaining a preset update amplitude. A real-time determination is made as to whether the update amplitude (the magnitude of the parameter change) is less than the preset update amplitude. If so, updating the initial stimulation parameters is stopped. Alternatively, a maximum number of updates is obtained, and a real-time determination is made as to whether the number of updates to the initial stimulation parameters has reached the preset maximum number of updates. If so, updating the initial stimulation parameters is stopped, and the adjusted stimulation target is used as the target stimulation parameter.

[0059] Then, the first adaptive adjustment submodule generates a target stimulation strategy according to the stimulation parameters after stopping updating and the corresponding stimulation targets.

[0060] In the adaptive adjustment module 105 provided in this embodiment, when the stimulation analysis module 104 determines that the initial stimulation strategy does not meet the target standard, the first target stimulation parameter determination submodule reasonably selects the objective function based on the initial stimulation target, calculates the gradient of the initial stimulation parameters and updates the parameters in the gradient direction, and flexibly controls the update process by combining the preset update amplitude and the preset maximum number of updates. This allows for accurate and efficient determination of more optimal target stimulation parameters from a variety of initial stimulation parameters, avoiding excessive or ineffective updates. The first adaptive adjustment submodule generates the target stimulation strategy based on the determined target stimulation parameters, ensuring that the new stimulation strategy is more suitable for the target object, significantly improving the effectiveness and adaptability of the stimulation strategy, and enhancing the reliability of the stimulation strategy.

[0061] In some optional implementations of this embodiment, the adaptive adjustment module 105 further includes: The second target stimulation parameter determination submodule is used to set an adjustment reward mechanism based on the initial stimulation target and the initial stimulation parameters, and use a reinforcement learning algorithm to adjust the initial stimulation parameters according to the adjustment reward mechanism until the error between the reward and the preset maximum reward is less than the preset error, and the adjusted stimulation parameters are determined as the target stimulation parameters of the adjusted stimulation target.

[0062] The second adaptive adjustment submodule is used to generate a target stimulation strategy based on the target stimulation parameters and the stimulation target.

[0063] If the three methods adopted by the stimulation analysis module 104 all determine that the initial stimulation strategy does not meet the target standard, the adaptive adjustment module 105 may adjust the initial stimulation strategy using a preset adaptive adjustment algorithm. Alternatively, the adaptive adjustment module 105 may: First, the second target stimulation parameter determination submodule utilizes a reinforcement learning strategy for adjustment. Specifically, this involves defining initial stimulation parameter adjustment actions for the initial stimulation target. For example, if the initial stimulation target is to increase heart rate variability, the adjustment actions could include increasing / decreasing stimulation intensity, extending / shortening stimulation duration, or adjusting stimulation frequency. An adjustment reward mechanism can be configured to provide positive rewards for improving heart rate variability and negative rewards for failing to do so. A suitable reinforcement learning algorithm (Q-learning algorithm) is then used to continuously update the stimulation parameters until the reward is maximized, meaning the error from the preset maximum reward is less than a preset error. The adjusted stimulation parameters are then determined as the target stimulation parameters for the adjusted stimulation target.

[0064] Then, the second adaptive adjustment submodule can generate a target stimulation strategy according to the target stimulation parameters and the corresponding stimulation target.

[0065] The adaptive adjustment module provided in this embodiment has another way to implement adaptive adjustment. When the stimulation analysis module determines that the initial stimulation strategy does not meet the target standard, the second target stimulation parameter determination submodule adjusts the reward mechanism based on the initial stimulation target and the initial stimulation parameter settings, and uses the reinforcement learning algorithm to continuously update the stimulation parameters. Through continuous iterative optimization, the adjustment of the stimulation parameters is always carried out in the direction of obtaining the maximum reward, so that the stimulation strategy can more accurately meet the target requirements until the error between the reward and the preset maximum reward is less than the preset error, thereby determining a better target stimulation parameter; the second adaptive adjustment submodule generates a target stimulation strategy based on these parameters and the stimulation target. Adaptive adjustment of the initial stimulation strategy from different angles significantly improves the personalization of the stimulation strategy.

[0066] In some optional implementations of this embodiment, the adaptive adjustment module 105 further includes: The target stimulation parameter adjustment submodule is used to determine whether the target stimulation parameter is within a preset range. If the target stimulation parameter is not within the preset range, the target stimulation parameter is adjusted according to the preset constraints and the step adjustment range.

[0067] After the first target stimulation parameter determination submodule updates parameters based on the objective function's gradient calculation, or the second target stimulation parameter determination submodule updates parameters based on an adjusted reward mechanism using a reinforcement learning algorithm, the target stimulation parameter adjustment submodule carefully compares these target stimulation parameters with a preset range. The preset range is a reasonable interval pre-set based on various factors, such as the actual application scenario and safety requirements. For example, in terms of stimulation intensity, excessively high intensity may cause harm to the subject, while excessively low intensity may not achieve the desired effect, so an appropriate intensity range is set. If the target stimulation parameters are not within the preset range, the target stimulation parameter adjustment submodule adjusts the target stimulation parameters based on the preset constraints and step size adjustment range. For example, the preset range for transcranial direct current stimulation intensity is 1 to 2 mA, and the preset range for stimulation duration is 10 to 40 minutes. The corresponding preset constraint is that the stimulation intensity should not exceed 0.1 mA at each adjustment.

[0068] The target stimulation parameter adjustment submodule provided in this embodiment plays a key role in calibration and constraint. It re-evaluates the target stimulation parameters calculated by the first two methods. If the target stimulation parameters exceed the preset range, it adjusts them according to the preset constraints and the step size adjustment range, ensuring the rationality and safety of the target stimulation parameters. This ensures that the stimulation strategy not only meets actual needs but also works within a reasonable and safe range.

[0069] like Figure 2 As shown, an embodiment of the present invention provides an individualized neuroregulation guidance device 100 based on autonomic nervous function assessment, further comprising: The verification module 106 is used to replace the initial stimulation strategy with the target stimulation strategy, and drive the target indicator characteristic value acquisition module, the stimulation analysis module and the adaptive adjustment module to perform corresponding steps to verify the target stimulation strategy.

[0070] After the adaptive adjustment module 105 obtains the target stimulation strategy, the verification module 106 replaces the initial stimulation strategy and drives the target indicator characteristic value acquisition module 103, the stimulation analysis module 104 and the adaptive adjustment module 105 to execute corresponding steps, and then verifies whether the target stimulation strategy meets the target standard.

[0071] The stimulation strategy determination module 107 is configured to determine the target stimulation strategy that meets the target standard as the final stimulation strategy.

[0072] Then the stimulation strategy determination module 107 determines the target stimulation strategy that meets the target standard as the final stimulation strategy, forming a closed loop. The device will continuously update the target stimulation strategy to ensure that each stimulation strategy can accurately adapt to the individual differences of the target object and achieve true personalized neural regulation.

[0073] The submodules provided in this embodiment work together to form a closed-loop system. The verification module rigorously verifies the target stimulation strategy to ensure its effectiveness; the stimulation strategy determination module selects the final strategy based on this verification. Continuously updating the stimulation strategy and monitoring physiological data in real time enable dynamic adjustments based on the individual's real-time status, creating a personalized stimulation strategy and improving the targeted and precise nature of neural regulation.

[0074] In some optional implementations of this embodiment, the stimulation strategy determination module 107 includes: The iteration number evaluation submodule is used to record the number of times the target stimulation parameter is adjusted by the adaptive adjustment module under the same stimulation target during each stimulation process, and to determine whether the number of adjustments is greater than the preset maximum number of adjustments.

[0075] Specifically, each time the adaptive adjustment module obtains the target stimulation strategy, it will implement corresponding stimulation on the target object, and then collect and analyze the physiological signal data of the target object according to the initial stimulation strategy determination module 102, the target indicator characteristic value acquisition module 103, and the stimulation analysis module 104. If the target standard is not met, the adaptive adjustment module 105 needs to adjust the stimulation strategy again. This cycle is repeated, and the number of times the adaptive adjustment module 105 adjusts the target stimulation parameters under the same stimulation target is recorded, and it is determined whether the number of adjustments exceeds the preset maximum number of adjustments within the safety range (such as 3 to 5 times).

[0076] The final stimulation strategy determination submodule is used to determine that the current target stimulation strategy is invalid if the number of adjustments reaches the preset maximum number of adjustments and the stimulation analysis module 104 analyzes that the stimulation implemented on the target object does not meet the target standard; if the stimulation analysis module 104 analyzes that the stimulation implemented on the target object meets the target standard, and the number of adjustments is less than or equal to the preset maximum number of adjustments, then the target stimulation parameters and stimulation targets for stimulating the target object are determined as the final stimulation strategy.

[0077] Specifically, if the number of adjustments reaches the preset maximum number of adjustments and the stimulation does not reach the target standard, the final stimulation strategy determination submodule will determine that the current target stimulation strategy is invalid, and the stimulation target and stimulation parameters can be changed. Conversely, if the stimulation reaches the target standard and the number of adjustments does not reach the preset maximum number of adjustments, the current target stimulation parameters and stimulation target are determined as the final stimulation parameters, and the target object can be stimulated according to the final stimulation strategy. It should be noted that at least a certain time, such as 1 hour, must be left between each two stimulations to avoid the previous stimulation from affecting the next stimulation.

[0078] In the stimulation strategy determination module provided in this embodiment, the iteration count assessment submodule records the number of target stimulation parameter adjustments made by the adaptive adjustment module for the same stimulation target and compares this with the preset maximum number of adjustments. The final stimulation strategy determination submodule then determines the strategy's effectiveness based on this comparison and whether the stimulation meets the target criteria, ultimately determining the final stimulation strategy. This design ensures the safety and effectiveness of the stimulation strategy, avoids ineffective adjustments, and reduces mutual interference by setting stimulation intervals, providing a more accurate and secure personalized neural regulation stimulation strategy for the target subject.

[0079] like Figure 3 As shown, an embodiment of the present invention provides an individualized neuroregulation guidance device 100 based on autonomic nervous function assessment, further comprising: The target stimulation strategy determination module 108 is configured to change the stimulation target when it is determined that the current target stimulation strategy is invalid.

[0080] Specifically, when the final stimulation strategy determination submodule determines that the current target stimulation strategy is invalid, the target stimulation strategy judgment module 108 needs to replace the stimulation target and return to the initial stimulation strategy determination module 102, the target indicator characteristic value acquisition module 103, the stimulation analysis module 104, and the adaptive adjustment module 105 for loop processing, and ultimately provide the target object with a more accurate and safe personalized neural regulation stimulation strategy.

[0081] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0082] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0083] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0085] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A personalized neural regulation guidance device based on autonomic nervous function assessment, characterized in that: include: An information collection module is used to collect basic information and resting state baseline index characteristic values ​​of the target subject, wherein the resting state baseline index characteristic values ​​are used to represent the baseline value of the autonomic nervous function of the target subject; an initial stimulation strategy determination module, configured to determine an initial stimulation strategy based on the basic information and the characteristic value of the resting state baseline indicator; a target indicator characteristic value acquisition module, configured to acquire target indicator characteristic values ​​when stimulating the target object according to the initial stimulation strategy; a stimulation analysis module, configured to analyze whether the initial stimulation strategy meets the target standard based on the resting-state baseline indicator characteristic value and the target indicator characteristic value; The adaptive adjustment module is used to adjust the initial stimulation strategy using a preset adaptive adjustment algorithm to obtain a target stimulation strategy if the initial stimulation strategy does not meet the target standard.

2. The device according to claim 1, characterized in that The initial stimulation strategy determination module includes: an initial stimulation target determination submodule, configured to determine an initial stimulation target based on the basic information and the resting state baseline indicator characteristic value; an initial stimulation parameter determination submodule, configured to determine initial stimulation parameters based on the initial stimulation target; The initial stimulation strategy generation submodule is used to generate the initial stimulation strategy based on the initial stimulation parameters and the initial stimulation target.

3. The device according to claim 1, characterized in that The target indicator characteristic value acquisition module includes: A physiological signal monitoring submodule, configured to monitor the physiological signals of the target object during and after stimulation; The target indicator characteristic value extraction submodule is used to extract the target indicator characteristic value from the physiological signal using a dynamic time window method.

4. The device according to claim 1, characterized in that The stimulation analysis module is specifically used for: Determine whether the target indicator characteristic value that is greater than or equal to the preset characteristic value reaches a first preset ratio; if the target indicator characteristic value that is greater than or equal to the preset characteristic value reaches the first preset ratio, determine that the initial stimulation strategy reaches the target standard; if the target indicator characteristic value that is greater than or equal to the preset characteristic value does not reach the first preset ratio, determine that the initial stimulation strategy does not reach the target standard; or, Calculate the target change rate based on the resting-state baseline indicator characteristic value and the target indicator characteristic value, and determine whether the target change rate greater than or equal to the preset change rate threshold reaches a second preset ratio; if the target change rate greater than or equal to the preset change rate threshold reaches the second preset ratio, determine that the initial stimulation strategy reaches the target standard; if the target change rate greater than or equal to the preset change rate threshold does not reach the second preset ratio, determine that the initial stimulation strategy does not reach the target standard; or A difference test is performed based on the resting state baseline indicator characteristic value and the target indicator characteristic value to obtain a significance probability value, and it is determined whether the significance probability value that is less than or equal to the preset significance probability value reaches a third preset ratio; if the significance probability value that is less than or equal to the preset significance probability value reaches the third preset ratio, it is determined that the initial stimulation strategy reaches the target standard; if the significance probability value that is less than or equal to the preset significance probability value does not reach the third preset ratio, it is determined that the initial stimulation strategy does not reach the target standard.

5. The device according to claim 2, characterized in that The adaptive adjustment module includes: a first target stimulation parameter determination submodule, configured to select an objective function according to the initial stimulation target, calculate the gradient of the initial stimulation parameter based on the objective function, update the initial stimulation parameter based on the direction of the gradient, and stop updating when the update amplitude of the initial stimulation parameter is less than a preset update amplitude or the number of updates reaches a preset maximum number of updates, thereby obtaining the target stimulation parameter of the adjusted stimulation target; The first adaptive adjustment submodule is configured to generate the target stimulation strategy based on the target stimulation parameters and the stimulation target.

6. The device according to claim 5, characterized in that The adaptive adjustment module also includes: a second target stimulation parameter determination submodule, configured to set an adjustment reward mechanism based on the initial stimulation target and the initial stimulation parameters, adjust the initial stimulation parameters according to the adjustment reward mechanism using a reinforcement learning algorithm until an error between the reward and a preset maximum reward is less than a preset error, and determine the adjusted stimulation parameters as target stimulation parameters for the adjusted stimulation target; The second adaptive adjustment submodule is configured to generate the target stimulation strategy based on the target stimulation parameters and the stimulation target.

7. The device according to claim 6, characterized in that The adaptive adjustment module also includes: The target stimulation parameter adjustment submodule is used to determine whether the target stimulation parameter is within a preset range. If the target stimulation parameter is not within the preset range, the target stimulation parameter is adjusted according to a preset constraint and a step adjustment range.

8. The device according to any one of claims 1 to 7, characterized in that Also includes: a verification module, configured to replace the initial stimulation strategy with the target stimulation strategy, and drive the target indicator characteristic value acquisition module, the stimulation analysis module, and the adaptive adjustment module to perform corresponding steps to verify the target stimulation strategy; The stimulation strategy determination module is used to determine the target stimulation strategy that meets the target standard as the final stimulation strategy.

9. The device according to claim 8, characterized in that The stimulation strategy determination module includes: an iteration number evaluation submodule, configured to record the number of times the target stimulation parameter is adjusted by the adaptive adjustment module under the same stimulation target during each stimulation process, and to determine whether the number of adjustments is greater than a preset maximum number of adjustments; The final stimulation strategy determination submodule is used to determine that the current target stimulation strategy is invalid if the number of adjustments reaches the preset maximum number of adjustments and the stimulation analysis module analyzes that the stimulation implemented on the target object does not meet the target standard; if the stimulation analysis module analyzes that the stimulation implemented on the target object meets the target standard and the number of adjustments is less than or equal to the preset maximum number of adjustments, the target stimulation parameters and stimulation targets for stimulating the target object are determined as the final stimulation strategy.

10. The device according to claim 9, characterized in that Also includes: The target stimulation strategy judgment module is used to replace the stimulation target when it is determined that the current target stimulation strategy is invalid.

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