CN118217530B - Monitoring control method and system for direct current stimulation instrument - Google Patents
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Abstract
The invention discloses a monitoring control method and a system for a direct current stimulator, and relates to the field of direct current stimulators. The method comprises the following steps: determining a target user, collecting physiological parameter information of the user and pathological parameter information of the user, determining self-adaptive electric stimulation parameters, and generating a direct current electric stimulation signal; fitting a user expected feedback curve set; executing the direct current stimulation signal, and monitoring the real-time output of the direct current stimulation signal to obtain an output monitoring curve; the method comprises the steps of monitoring stimulus feedback parameters of a target user in real time to obtain an actual feedback curve set of the user; and comparing the actual feedback curves of the users in real time, and synchronously controlling the direct current stimulator according to curve comparison results. The method solves the technical problem of slower processing of abnormal conditions due to less analysis quantity and lower accuracy of the monitoring data of the direct current stimulation parameter instrument, and achieves the technical effects of quick response to the abnormal conditions and triggering protection measures.
Description
Technical Field
The application relates to the technical field of direct current stimulators, in particular to the control field of the direct current stimulators, and specifically relates to a monitoring control method and a monitoring control system for the direct current stimulators.
Background
Direct current stimulation is a technique of applying a weak constant current to a specific part of the human body, and clinical practice and research for many years have been confirmed to be effective by changing the excitability of neurons. The technology has the advantages of no wound, simple operation, low price and the like, and is widely applied in a plurality of fields at present. Along with the continuous development of technology, the direct current stimulator has increasingly perfect functions and gradually expands the application range. The direct current stimulation needs to accurately control the tiny current, so that the current intensity and the duration meet the requirements, and in order to ensure that the current can be accurately conducted to the target part, the direct current stimulation needs to use specially designed electrodes. The choice of electrode material, the contact characteristics of the electrode with the skin, etc. are all key factors. Since direct current stimulation involves the application of electrical current to the human body, it is critical to ensure safety during use. The parameters such as current, voltage, temperature and the like are required to be monitored in real time, and instant protection measures are adopted to avoid accidental injury.
In summary, in the prior art, the analysis amount of the monitoring data of the dc stimulation parameter meter is too small, and the accuracy is low, so that the technical problem of slower processing of abnormal conditions is caused.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a monitoring control method and system for a direct current stimulator, which can quickly respond to abnormal situations and trigger protection measures.
In a first aspect, there is provided a monitoring control method for a direct current stimulation apparatus, the method comprising: determining a target user, collecting user physiological parameter information and user pathological parameter information of the target user, determining self-adaptive electric stimulation parameters, and generating direct current electric stimulation signals according to the self-adaptive electric stimulation parameters; fitting a user expected feedback curve set according to the direct current stimulation signals, the user physiological parameter information and the user pathological parameter information, wherein the user expected feedback curve set comprises a plurality of user expected feedback curves corresponding to multi-dimensional indexes; executing the direct current stimulation signal to a target user, and monitoring real-time output of the direct current stimulation signal based on a signal execution monitoring unit to obtain an output monitoring curve, wherein the output monitoring curve at least comprises an output voltage curve and an output current curve; the method comprises the steps of monitoring stimulation feedback parameters of a target user in real time by using a biosensor array, and obtaining a user actual feedback curve set, wherein the user actual feedback curve set comprises a plurality of user actual feedback curves corresponding to multi-dimension indexes; and comparing the actual feedback curves of the users in real time according to the expected feedback curves of the users, and synchronously controlling the direct current stimulator according to curve comparison results.
In a second aspect, there is provided a monitoring control system for a direct current stimulation apparatus, the system comprising: the self-adaptive electrical stimulation parameter determining module is used for determining a target user, collecting user physiological parameter information and user pathological parameter information of the target user, determining self-adaptive electrical stimulation parameters and generating direct current stimulation signals according to the self-adaptive electrical stimulation parameters; the user expected feedback curve set fitting module is used for fitting a user expected feedback curve set according to the direct current stimulation signals, the user physiological parameter information and the user pathological parameter information, wherein the user expected feedback curve set comprises a plurality of user expected feedback curves corresponding to multi-dimensional indexes; the direct current stimulation signal execution module is used for executing the direct current stimulation signal to a target user, monitoring the real-time output of the direct current stimulation signal based on a signal execution monitoring unit, and obtaining an output monitoring curve, wherein the output monitoring curve at least comprises an output voltage curve and an output current curve; the system comprises a user actual curve set acquisition module, a target user simulation feedback parameter acquisition module and a user actual feedback curve set acquisition module, wherein the user actual curve set acquisition module is used for monitoring the target user simulation feedback parameter in real time by using a biosensor array to acquire a user actual feedback curve set, and the user actual feedback curve set comprises a plurality of user actual feedback curves corresponding to multi-dimension indexes; and the synchronous control module is used for comparing the actual feedback curves of the users in real time according to the expected feedback curves of the users and synchronously controlling the direct current stimulation instrument according to the curve comparison result.
In a third aspect, there is provided a computer device comprising a memory storing a computer program and a processor implementing the steps of the first aspect when the computer program is executed.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the first aspect.
The monitoring control method and the system for the direct current stimulation instrument solve the technical problem of slower response to abnormal conditions due to too small analysis quantity of monitoring data of the direct current stimulation parameter instrument, and realize the technical effects of quickly responding to the abnormal conditions and triggering protection measures.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of a method for monitoring and controlling a DC stimulator in one embodiment;
FIG. 2 is a schematic flow chart of shutdown control of the DC stimulator for a monitoring control method of the DC stimulator in one embodiment;
FIG. 3 is a block diagram of a monitoring control system for a DC stimulator in one embodiment;
Fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises an adaptive electrical stimulation parameter determining module 11, a user expected feedback curve set fitting module 12, a direct current stimulation signal executing module 13, a user actual curve set acquiring module 14 and a synchronous control module 15.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As shown in fig. 1, the present application provides a monitoring control method for a direct current stimulator, the method comprising:
Determining a target user, collecting user physiological parameter information and user pathological parameter information of the target user, determining self-adaptive electric stimulation parameters, and generating direct current electric stimulation signals according to the self-adaptive electric stimulation parameters;
The direct current stimulator is a non-invasive brain stimulator, which uses constant low-intensity direct current to regulate the activity of neurons in specific areas of cerebral cortex, and generates weak direct current through electrodes arranged on skull, so as to change the activity and excitability of cortical neurons and induce brain function change; the monitoring control of the direct current stimulator is that the direct current stimulator can feed back current output, voltage change and working state of equipment in real time through the built-in sensor and advanced circuit design, and is important for judging whether the equipment normally operates and whether the stimulation parameters need to be adjusted. In summary, the monitoring control of the direct current stimulator relates to various aspects, including real-time monitoring, parameter control, safety control, data recording and analysis, and the like, so as to ensure the effectiveness and safety of the direct current stimulator.
Determining a target user, wherein the target user refers to a subject needing to use the direct current stimulation instrument, and collecting user physiological parameter information and user pathological parameter information of the target user, wherein the user physiological parameter information refers to basic physical indexes and more specific physiological state information, such as age, gender and the like, heart rate, blood pressure and the like, and the physiological parameter information can be measured and recorded through professional equipment and instruments; the pathological parameter information refers to symptom expression of the target user, and can be obtained by inquiring medical history, performing physical examination, assisting examination and the like; determining self-adaptive electrical stimulation parameters, wherein the self-adaptive electrical stimulation parameters are based on the acquired physiological and pathological parameter information, and the physical condition and characteristics of the target user can be analyzed so as to further determine the proper electrical stimulation parameters; according to the determined self-adaptive electrical stimulation parameters, corresponding direct current stimulation signals can be designed and generated, the direct current stimulation signals can accurately reflect the optimized electrical stimulation required by the target user, and the target user can be acted safely and effectively. The target user is determined, the user physiological parameter information and the user pathological parameter information of the target user are acquired, data support is provided for the follow-up acquisition of the self-adaptive electric stimulation parameters, and the direct current stimulation signals are generated according to the self-adaptive electric stimulation parameters, so that the direct current stimulation instrument can safely operate.
Establishing a human body digital physiological model;
Performing parameter setting on the human body digital physiological model based on the user physiological parameter information to acquire a target digital physiological model;
Acquiring initial electrical stimulation parameters from an expert knowledge base according to the pathological parameter information of the user;
Inputting the initial electrical stimulation parameters into the target digital physiological model, and optimally adjusting the initial electrical stimulation parameters according to the expected stimulation effect to obtain self-adaptive electrical stimulation parameters.
The human body digital physiological model is a digital representation of human body physiological structure and function, including the electrical characteristics and geometric structures of human body skin, muscle, nerve and other tissues and the interactions between the tissues; the human body digital physiological model is subjected to parameter setting according to the user physiological parameter information, namely, the acquired user physiological parameter information is imported into the human body digital physiological model, for example, the heart rate is 75 times/min in the user physiological parameter information, and the heart rate parameter of the human body digital physiological model can be set to 75 times/min, so that the physiological characteristics of the target user are reflected by the human body digital physiological model, and the human body digital physiological model of the target user, namely, the target digital physiological model is acquired; the expert knowledge base is a database storing domain knowledge, wherein the expert knowledge base comprises expert knowledge and experience in aspects of electric stimulation parameter setting and the like; retrieving relevant initial electrical stimulation parameters from the expert knowledge base based on the user pathological parameter information, wherein the initial electrical stimulation parameters comprise stimulation size, stimulation duration, stimulation position, patch material and the like, and the initial electrical stimulation parameters can be used as starting points for subsequent optimization adjustment; inputting the initial electrical stimulation parameters into the target digital physiological model, observing and analyzing physiological response and change of the target digital physiological model under electrical stimulation through simulating the effect of the electrical stimulation on the model, determining by a professional doctor of the target user according to the expected stimulation effect, optimizing and adjusting the initial electrical stimulation parameters, for example, searching the electrical stimulation parameters step by step in an iterative feedback mode based on an algorithm model, and taking the electrical stimulation parameters as self-adaptive electrical stimulation parameters when the electrical stimulation parameters reach the optimal. And establishing a human body digital physiological model, performing parameter setting according to user physiological parameter information, acquiring initial electric stimulation parameters from an expert knowledge base in combination with user pathological parameter information, and performing optimization adjustment to acquire self-adaptive electric stimulation parameters, thereby providing theoretical support for generating direct current electric stimulation signals according to the self-adaptive electric stimulation parameters.
Setting a parameter optimization space for the target user according to the physiological parameter information of the user and the pathological parameter information of the user;
And taking the expected stimulation effect as a target, carrying out parameter ladder type optimization on the initial electrical stimulation parameters according to a preset step length in the parameter optimization space, and obtaining self-adaptive electrical stimulation parameters.
The parameter optimization space is a range of an electric stimulation parameter determined based on the physiological parameter information of the user and the pathological parameter information of the user, the overall condition and tolerance of the target user are evaluated according to the physiological parameters such as heart rate and blood pressure of the target user, the target effect of the electric stimulation parameter is determined based on the pathological parameter information of the target user, and the reasonable range of the electric stimulation parameter is determined to be used as the parameter optimization space for optimization by combining the physiological parameter information of the user and the pathological parameter information of the user; setting the step length of each parameter adjustment by taking the initial electrical stimulation parameters obtained from the expert knowledge base as a starting point, gradually adjusting the electrical stimulation parameters according to the set step length, inputting new parameter combinations into the human body digital physiological model for simulation test after each adjustment, observing and analyzing the stimulation effect of the model under the new parameters through the simulation test, comparing with the expected stimulation effect, and judging whether the current parameter combinations reach the expected stimulation effect. If the expected effect is not achieved, adjusting the step length or the direction according to the comparison result, and continuing to perform step-type optimizing; if the expected effect has been achieved, the current parameter combination is recorded as the optimal solution. Through the process, the optimal electric stimulation parameter combination can be gradually approximated, the optimal parameters of the direct current electric stimulation instrument of the target user can be found, and scientificity and safety of parameter adjustment and optimization, feasibility of actual operation and comfort factors of the target user are ensured.
Fitting a user expected feedback curve set according to the direct current stimulation signals, the user physiological parameter information and the user pathological parameter information, wherein the user expected feedback curve set comprises a plurality of user expected feedback curves corresponding to multi-dimensional indexes;
the direct current stimulation signals comprise parameters such as intensity, frequency, waveform and the like of the electric stimulation, and information such as time point and duration of the application of the electric stimulation; the direct current stimulation signal is stimulated by the direct current stimulation instrument, a user expected feedback curve set is obtained through the effect of the direct current stimulation instrument on the target user, the user expected feedback curve set comprises a plurality of user expected feedback curves corresponding to multi-dimensional indexes, the multi-dimensional indexes are set by a worker, such as the electrocardio dimension of the user, the dimension of muscle response and the like, the feedback aspect of the user after receiving the direct current stimulation signal is obtained according to the multi-dimensional indexes, each index corresponds to one user expected feedback curve, and the user expected feedback curve set is obtained by fitting the multi-dimensional expected feedback curves through smoothing, abnormal value and optimization adjustment of the curve. The finally obtained user expected feedback curve set can provide valuable reference information, and the electric stimulation parameters can be better adjusted so as to achieve better direct current stimulation effect.
Executing the direct current stimulation signal to a target user, and monitoring real-time output of the direct current stimulation signal based on a signal execution monitoring unit to obtain an output monitoring curve, wherein the output monitoring curve at least comprises an output voltage curve and an output current curve;
According to the setting parameters of the direct current stimulation signals, the direct current stimulation is carried out on the target user through the direct current stimulation instrument, a signal execution monitoring unit is obtained and is used for monitoring the real-time output of the direct current stimulation signals in real time, and the signal execution monitoring unit has high sensitivity and high resolution and can accurately capture the change of output voltage and current; the signal execution monitoring unit measures the output voltage and the output current of the direct current stimulator in real time, records the output voltage and the output current, and draws a curve to form an output voltage curve and an output current curve, namely an output monitoring curve; the output monitoring curve intuitively shows the change condition of the direct current stimulation signal along with time, including peak values, waveforms, stability and the like of voltage and current. The real-time output of the direct current stimulation signals is monitored through the signal execution monitoring unit, and an output monitoring curve is obtained, so that the safety and the effectiveness of the stimulation process can be ensured, and powerful support is provided for the control and adjustment of the follow-up direct current stimulation instrument.
The method comprises the steps of monitoring stimulation feedback parameters of a target user in real time by using a biosensor array, and obtaining a user actual feedback curve set, wherein the user actual feedback curve set comprises a plurality of user actual feedback curves corresponding to multi-dimension indexes;
The biosensor array is a device integrating a plurality of biosensors, and can monitor various physiological parameters simultaneously, such as various biological signals for measuring heart rate, blood pressure, brain waves, muscle activities and the like, so that the physiological state of a target user is comprehensively reflected, the physiological state of the target user is a stimulus feedback parameter, the stimulus feedback parameter of the target user is monitored in real time by the biosensor array, and the biosensor array can be closely attached to the body of the target user, so that the physiological response of the user can be accurately captured. When the direct current stimulation signal starts from the direct current stimulation instrument, the biosensor array immediately starts to work, records and transmits various physiological data of a user, processes and analyzes the physiological data to generate an actual feedback curve set of the user, wherein the actual feedback curve set of the user comprises a plurality of actual feedback curves corresponding to the multidimensional index, for example, a curve of heart rate change with time, a curve of blood pressure change, a curve of brain wave activity and the like can be obtained. Each curve represents a change in a physiological parameter of the user in the case of the direct current stimulation signal. The biosensor array is utilized to monitor the stimulus feedback parameters of the target user in real time, and the actual feedback curve set of the user is obtained, so that the physiological response of the target user can be known, and a data basis is provided for the follow-up synchronous control according to the curve comparison result.
And comparing the actual feedback curves of the users in real time according to the expected feedback curves of the users, and synchronously controlling the direct current stimulator according to curve comparison results.
The method comprises the steps of taking a plurality of user expected feedback curves as references, carrying out real-time comparison on a plurality of user actual feedback curves, wherein the real-time comparison can be realized through a data analysis system, for example, the plurality of user expected feedback curves and the plurality of user actual feedback curves are placed in the same coordinate system, the plurality of user expected feedback curves and the plurality of user actual feedback curves are drawn in a plane rectangular coordinate system to synchronously display and compare according to time variation, in the comparison process, the change condition of a plurality of dimension indexes is required to be concerned so as to comprehensively evaluate the stimulation effect, a curve comparison result is obtained, the curve comparison result can be used for judging whether the direct current stimulation signal is suitable or not, and the direct current stimulation instrument is synchronously adjusted according to the curve comparison result, for example, the plurality of user actual feedback curves are basically consistent with the plurality of user expected feedback curves, the direct current stimulation signal is properly set, and can be continuously maintained; if there is a significant difference, then consideration is given to adjusting the direct current stimulation signal. And the actual feedback curves of the users are compared in real time by taking the expected feedback curves of the users as the reference, and the direct current stimulator is synchronously controlled according to the comparison result, so that accurate and safe stimulation signals can be provided for the target users.
Based on the plurality of user expected feedback curves, respectively setting a plurality of similarity thresholds of the plurality of user actual feedback curves and the plurality of user expected feedback curves;
Analyzing the comparison result of the curves, and generating a similarity analysis instruction when the output monitoring curve is consistent with the direct current stimulation signal but the actual feedback curves of the users are not matched with the expected feedback curves of the users;
extracting a plurality of actual similarities between a plurality of user expected feedback curves and a plurality of user actual feedback curves from the curve comparison result according to the similarity analysis instruction;
Extracting a dimension index set of which the actual similarity does not meet the similarity threshold according to the similarity threshold and the actual similarity;
And optimizing and updating the self-adaptive electric stimulation parameters by taking the dimension index set as an optimization option, generating an updated direct current electric stimulation signal based on the updated self-adaptive electric stimulation parameters, and executing signal execution by the direct current electric stimulation instrument.
Setting a corresponding similarity threshold value for each user actual feedback curve according to the characteristics of the plurality of user expected feedback curves, wherein the similarity threshold value represents the maximum value of acceptable difference between expected feedback and actual feedback, and the setting is required to be set by a worker on the basis of expert experience; analyzing the curve comparison result, when the output monitoring curve is consistent with the direct current stimulation signal, but the user actual feedback curve is not matched with the user expected feedback curve, representing that the self-adaptive electric stimulation parameter is unsuitable, generating a similarity analysis instruction for deeply analyzing the similarity between the actual feedback and the expected feedback, extracting a plurality of actual similarities between a plurality of user expected feedback curves and a plurality of user actual feedback curves from the curve comparison result according to the similarity analysis instruction, and comparing the actual similarities with the similarity threshold value set in advance, wherein the actual similarities are calculated by comparing the waveform, amplitude, change trend and other characteristics of the plurality of user expected feedback curves and the plurality of user actual feedback curves. And identifying a dimension index set of which the actual similarity does not meet the similarity threshold value through comparison. The set of dimension indicators represents the area of the direct current stimulation signal that needs to be optimized. Optimizing and updating the self-adaptive electric stimulation parameters by taking the dimension index set as an optimization option, wherein the optimization and updating aim is to enable an actual feedback curve to be closer to an expected feedback curve, improve the effect of the direct current stimulation instrument and find the optimal parameter combination by adjusting the parameters such as the intensity, the frequency, the waveform and the like of the direct current stimulation signal; based on the updated adaptive electrical stimulation parameters, a new direct current stimulation signal is generated and executed by the direct current stimulation instrument. In summary, the direct current stimulation signal is accurately adjusted according to the real-time feedback of the user, so that the accuracy of the direct current stimulation instrument is improved to the greatest extent.
Analyzing the curve comparison result, and triggering a stimulation signal calibration instruction when the actual feedback curves of the plurality of users are matched with the expected feedback curve shapes of the plurality of users but the curve amplitude has synchronous deviation;
Extracting the synchronous deviation magnitude and the synchronous deviation direction of the actual feedback curves of the plurality of users and the expected feedback curves of the plurality of users according to the stimulation signal calibration instruction;
and optimizing and adjusting the direct current stimulation signal based on the synchronous deviation and the synchronous deviation direction, obtaining and adjusting the direct current stimulation signal, and executing signal execution by the direct current stimulation instrument.
Analyzing curve comparison results, when the actual feedback curves of the users are matched with the expected feedback curves of the users in shape, but the curve amplitude has synchronous deviation, representing that the output of the direct current stimulation signal has deviation, the actual output intensity is inconsistent with a preset value, triggering a stimulation signal calibration instruction, calibrating the direct current stimulation signal, and extracting the synchronous deviation sizes and the synchronous deviation directions of the actual feedback curves of the users and the expected feedback curves of the users, wherein the synchronous deviation sizes refer to the difference degrees of the actual feedback curves and the expected feedback curves on the curve amplitude, and the synchronous deviation directions identify whether the synchronous deviation is positive or negative, namely whether the actual feedback is higher or lower than the expected feedback; and after the synchronous deviation and the synchronous deviation direction are extracted, carrying out optimization adjustment on the direct current stimulation signals, wherein the purpose of the optimization adjustment is to reduce the amplitude deviation between actual feedback and expected feedback so that the two are closer, and under the condition of shape matching, carrying out synchronous optimization on the data size of parameters according to the expected direction to obtain adjustment direct current stimulation signals, and executing the adjustment direct current stimulation signals through the direct current stimulation instrument. And dynamically adjusting the stimulation signals according to the real-time feedback to realize accurate stimulation of the direct current stimulation instrument.
Activating a patch monitoring unit based on the stimulation patch monitoring instruction, and monitoring a plurality of stimulation patches of the direct current stimulation instrument in real time by using the patch monitoring unit to obtain a plurality of patch laminating degrees;
comparing the bonding degrees of the patches with preset bonding degrees of the patches to determine abnormal stimulation patches;
And after the abnormal stimulation patch is adjusted based on the preset patch attaching degree, performing signal execution through the direct current stimulation instrument.
In the process of executing the direct current stimulation signals, ensuring good lamination between the stimulation patches and the skin is of great importance, because the lamination degree directly influences the effective transmission of the stimulation signals, a stimulation patch monitoring instruction and a patch monitoring unit are introduced, the stimulation patch monitoring instruction is an instruction for monitoring the stimulation patches, the patch monitoring unit is a module for monitoring the stimulation patches, the high-precision sensing and monitoring capabilities are provided, lamination degree data of a plurality of stimulation patches can be acquired in real time, the contact condition between the stimulation patches and the skin is reflected, and the method is an important basis for evaluating the lamination quality of the patches. And monitoring a plurality of stimulation patches of the direct current stimulation instrument in real time so as to ensure the safety and the effectiveness of the work of the direct current stimulation instrument. Activating a patch monitoring unit through the stimulation patch monitoring instruction, and monitoring a plurality of stimulation patches of the direct current stimulation instrument in real time by using the patch monitoring unit to obtain a plurality of patch laminating degrees, wherein the patch laminating degrees refer to laminating degrees of the stimulation patches and the skin, and can be obtained according to the real-time monitoring; the preset patch attachment degree is set by a worker according to expert experience, represents the patch attachment degree under ideal conditions, compares the obtained patch attachment degrees with the preset patch attachment degree, rapidly identifies a plurality of stimulation patches of which the attachment degree does not meet the preset patch attachment degree, marks the abnormal stimulation patches, adjusts the abnormal stimulation patches based on the preset patch attachment degree, such as repositioning patches, replacing new patches or adjusting the pressure of the patches to ensure the close contact between the abnormal stimulation patches and skin, and needs special attention to avoid discomfort or damage to a target user in the adjustment process.
As shown in fig. 2, setting a user feedback parameter red line by combining the user expected feedback curve set and the user physiological parameter information;
Setting a safety early warning window, predicting the change trend of a plurality of user actual feedback curves in the safety early warning window, and obtaining a curve trend prediction result;
And when the curve trend prediction result passes over the user feedback parameter red line, stopping the direct current stimulator.
Setting a user feedback parameter red line, wherein the setting of the user feedback parameter red line needs to comprehensively consider a user expected feedback curve set and the user physiological parameter information, the expected feedback curve set reflects the expected state of the user physiological response under the target of receiving the direct current stimulation signal, the user physiological parameter information provides the current physical condition of the target user, the user feedback parameter red line refers to the acceptable range and the safety limit of the user physiological response, a safety early warning window is set for monitoring and predicting the change trend of a user actual feedback curve in real time, the change trend of the plurality of user actual feedback curves in the safety early warning window is analyzed and predicted in real time, whether the user feedback parameter red line is possibly crossed in the future is judged, and once the curve trend prediction result shows that the user actual feedback curve is possibly or just to be crossed the user feedback parameter red line, a shutdown control command is immediately triggered by the system, and the shutdown control command can rapidly cut off the output of the direct current stimulation instrument so as to prevent possible injuries or adverse reactions. The safety early warning window is used for continuously monitoring the change of the physiological parameters of the user, ensuring that the working process of the direct current stimulation instrument is always carried out within a safe and controllable range, setting a user feedback parameter red line by combining a user expected feedback curve set and user physiological parameter information, and setting the safety early warning window to predict the change trend of an actual feedback curve, so that the safety of direct current stimulation can be effectively ensured, and potential risks and injuries are avoided.
As shown in fig. 3, an embodiment of the present application includes a monitoring control system for a direct current stimulator, the system including:
the self-adaptive electrical stimulation parameter determining module 11 is used for determining a target user, collecting user physiological parameter information and user pathological parameter information of the target user, determining self-adaptive electrical stimulation parameters and generating a direct current stimulation signal according to the self-adaptive electrical stimulation parameters;
A user expected feedback curve set fitting module 12, where the user expected feedback curve set fitting module 12 is configured to fit a user expected feedback curve set according to the direct current stimulation signal, the user physiological parameter information, and the user pathological parameter information, and the user expected feedback curve set includes a plurality of user expected feedback curves corresponding to multi-dimensional indexes;
The direct current stimulation signal execution module 13 is used for executing the direct current stimulation signal to a target user, and monitoring the real-time output of the direct current stimulation signal based on a signal execution monitoring unit to obtain an output monitoring curve, wherein the output monitoring curve at least comprises an output voltage curve and an output current curve;
The user actual curve set obtaining module 14, where the user actual curve set obtaining module 14 is configured to monitor, with the biosensor array, the stimulus feedback parameters of the target user in real time, and obtain a user actual feedback curve set, where the user actual feedback curve set includes a plurality of user actual feedback curves corresponding to the multidimensional index;
And the synchronous control module 15 is used for comparing the actual feedback curves of the users in real time according to the expected feedback curves of the users, and synchronously controlling the direct current stimulation instrument according to the curve comparison result.
Further, the embodiment of the application further comprises:
The human body digital physiological model building module is used for building a human body digital physiological model by the human body digital physiological;
The target digital physiological model acquisition module is used for carrying out parameter setting on the human body digital physiological model based on the user physiological parameter information to acquire a target digital physiological model;
The initial electrical stimulation parameter acquisition module is used for acquiring initial electrical stimulation parameters from an expert knowledge base according to the pathological parameter information of the user;
The self-adaptive electrical stimulation parameter acquisition module is used for inputting the initial electrical stimulation parameters into the target digital physiological model, and optimizing and adjusting the initial electrical stimulation parameters according to the expected stimulation effect to acquire the self-adaptive electrical stimulation parameters.
Further, the embodiment of the application further comprises:
The parameter optimization space setting module is used for setting a parameter optimization space for the target user according to the physiological parameter information of the user and the pathological parameter information of the user;
The self-adaptive electric stimulation parameter acquisition module is used for carrying out parameter ladder optimization on the initial electric stimulation parameters according to a preset step length in the parameter optimization space by taking the expected stimulation effect as a target, so as to acquire the self-adaptive electric stimulation parameters.
Further, the embodiment of the application further comprises:
the similarity threshold setting module is used for respectively setting a plurality of similarity thresholds of the actual feedback curves of the plurality of users and the expected feedback curves of the plurality of users based on the expected feedback curves of the plurality of users;
The curve comparison result analysis module is used for analyzing curve comparison results, and generating a similarity analysis instruction when the output monitoring curve is consistent with the direct current stimulation signal but the actual feedback curves of the plurality of users are not matched with the expected feedback curves of the plurality of users;
The actual similarity extraction module is used for extracting a plurality of actual similarities of a plurality of user expected feedback curves and a plurality of user actual feedback curves from the curve comparison result according to the similarity analysis instruction;
The dimension index set extraction module is used for extracting a dimension index set of which the actual similarity does not meet the similarity threshold according to the similarity thresholds and the actual similarities;
The signal execution module is used for optimizing and updating the self-adaptive electric stimulation parameters by taking the dimension index set as an optimization option, generating an updated direct current electric stimulation signal based on the updated self-adaptive electric stimulation parameters, and executing the signal by the direct current electric stimulation instrument.
Further, the embodiment of the application further comprises:
the curve comparison result analysis module is used for analyzing curve comparison results, and triggering a stimulation signal calibration instruction when the actual feedback curves of the plurality of users are matched with the expected feedback curve shapes of the plurality of users but the curve amplitudes have synchronous deviation;
The synchronous deviation extraction module is used for extracting the synchronous deviation magnitude and the synchronous deviation direction of the actual feedback curves of the plurality of users and the expected feedback curves of the plurality of users according to the stimulation signal calibration instruction;
And the optimization adjustment proceeding module is used for optimizing and adjusting the direct current stimulation signal based on the synchronous deviation and the synchronous deviation direction, obtaining an adjustment direct current stimulation signal and executing signal execution by the direct current stimulation instrument.
Further, the embodiment of the application further comprises:
The patch laminating degree acquisition module is used for activating a patch monitoring unit based on the stimulation patch monitoring instruction, and monitoring a plurality of stimulation patches of the direct current stimulation instrument in real time by the patch monitoring unit to acquire a plurality of patch laminating degrees;
the abnormal stimulation patch determining module is used for comparing the patch laminating degrees with preset patch laminating degrees and determining abnormal stimulation patches;
The abnormal stimulation patch adjusting module is used for adjusting the abnormal stimulation patch based on the preset patch attaching degree and then executing signal execution through the direct current stimulator.
Further, the embodiment of the application further comprises:
the user feedback parameter red line setting module is used for setting a user feedback parameter red line by combining the user expected feedback curve set and the user physiological parameter information;
The curve trend prediction result acquisition module is used for setting a safety early warning window, predicting the change trend of a plurality of user actual feedback curves in the safety early warning window, and acquiring a curve trend prediction result;
and the shutdown control module is used for performing shutdown control on the direct current stimulator when the curve trend prediction result passes over the user feedback parameter red line.
For specific embodiments of the monitoring control system for the dc stimulator, reference may be made to the above embodiments of the monitoring control method for the dc stimulator, which are not described herein. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to implement a monitoring control method for a direct current stimulator.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of a monitoring control method for a direct current stimulation apparatus.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the steps of a monitoring control method for a direct current stimulation apparatus.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (1)
1. A monitoring control system for a direct current stimulation apparatus, the system comprising:
The self-adaptive electrical stimulation parameter determining module is used for determining a target user, collecting user physiological parameter information and user pathological parameter information of the target user, determining self-adaptive electrical stimulation parameters and generating direct current stimulation signals according to the self-adaptive electrical stimulation parameters;
The user expected feedback curve set fitting module is used for fitting a user expected feedback curve set according to the direct current stimulation signals, the user physiological parameter information and the user pathological parameter information, wherein the user expected feedback curve set comprises a plurality of user expected feedback curves corresponding to multi-dimensional indexes;
the direct current stimulation signal execution module is used for executing the direct current stimulation signal to a target user, monitoring the real-time output of the direct current stimulation signal based on a signal execution monitoring unit, and obtaining an output monitoring curve, wherein the output monitoring curve at least comprises an output voltage curve and an output current curve;
the system comprises a user actual curve set acquisition module, a target user simulation feedback parameter acquisition module and a user actual feedback curve set acquisition module, wherein the user actual curve set acquisition module is used for monitoring the target user simulation feedback parameter in real time by using a biosensor array to acquire a user actual feedback curve set, and the user actual feedback curve set comprises a plurality of user actual feedback curves corresponding to multi-dimension indexes;
The synchronous control module is used for comparing the actual feedback curves of the users in real time according to the expected feedback curves of the users, and synchronously controlling the direct current stimulator according to curve comparison results;
The system further comprises:
The human body digital physiological model building module is used for building a human body digital physiological model by the human body digital physiological;
The target digital physiological model acquisition module is used for carrying out parameter setting on the human body digital physiological model based on the user physiological parameter information to acquire a target digital physiological model;
The initial electrical stimulation parameter acquisition module is used for acquiring initial electrical stimulation parameters from an expert knowledge base according to the pathological parameter information of the user;
the self-adaptive electrical stimulation parameter acquisition module is used for inputting the initial electrical stimulation parameters into the target digital physiological model, and carrying out optimization adjustment on the initial electrical stimulation parameters according to the expected stimulation effect to acquire the self-adaptive electrical stimulation parameters;
The system further comprises:
The parameter optimization space setting module is used for setting a parameter optimization space for the target user according to the physiological parameter information of the user and the pathological parameter information of the user;
the self-adaptive electric stimulation parameter acquisition module is used for carrying out parameter ladder optimization on the initial electric stimulation parameters according to a preset step length in the parameter optimization space by taking the expected stimulation effect as a target, so as to acquire self-adaptive electric stimulation parameters;
The system further comprises:
the similarity threshold setting module is used for respectively setting a plurality of similarity thresholds of the actual feedback curves of the plurality of users and the expected feedback curves of the plurality of users based on the expected feedback curves of the plurality of users;
The curve comparison result analysis module is used for analyzing curve comparison results, and generating a similarity analysis instruction when the output monitoring curve is consistent with the direct current stimulation signal but the actual feedback curves of the plurality of users are not matched with the expected feedback curves of the plurality of users;
The actual similarity extraction module is used for extracting a plurality of actual similarities of a plurality of user expected feedback curves and a plurality of user actual feedback curves from the curve comparison result according to the similarity analysis instruction;
The dimension index set extraction module is used for extracting a dimension index set of which the actual similarity does not meet the similarity threshold according to the similarity thresholds and the actual similarities;
The signal execution module is used for optimizing and updating the self-adaptive electric stimulation parameters by taking the dimension index set as an optimization option, generating an updated direct current electric stimulation signal based on the updated self-adaptive electric stimulation parameters, and executing signal execution by the direct current electric stimulation instrument;
The system further comprises:
the curve comparison result analysis module is used for analyzing curve comparison results, and triggering a stimulation signal calibration instruction when the actual feedback curves of the plurality of users are matched with the expected feedback curve shapes of the plurality of users but the curve amplitudes have synchronous deviation;
The synchronous deviation extraction module is used for extracting the synchronous deviation magnitude and the synchronous deviation direction of the actual feedback curves of the plurality of users and the expected feedback curves of the plurality of users according to the stimulation signal calibration instruction;
the optimization adjustment proceeding module is used for optimizing and adjusting the direct current stimulation signal based on the synchronous deviation and the synchronous deviation direction, obtaining an adjustment direct current stimulation signal and executing signal execution by the direct current stimulation instrument;
The system further comprises:
The patch laminating degree acquisition module is used for activating a patch monitoring unit based on a stimulation patch monitoring instruction, and monitoring a plurality of stimulation patches of the direct current stimulation instrument in real time by the patch monitoring unit to acquire a plurality of patch laminating degrees;
the abnormal stimulation patch determining module is used for comparing the patch laminating degrees with preset patch laminating degrees and determining abnormal stimulation patches;
The abnormal stimulation patch adjusting module is used for performing signal execution through the direct current stimulator after adjusting the abnormal stimulation patch based on the preset patch attaching degree;
The system further comprises:
the user feedback parameter red line setting module is used for setting a user feedback parameter red line by combining the user expected feedback curve set and the user physiological parameter information;
The curve trend prediction result acquisition module is used for setting a safety early warning window, predicting the change trend of a plurality of user actual feedback curves in the safety early warning window, and acquiring a curve trend prediction result;
and the shutdown control module is used for performing shutdown control on the direct current stimulator when the curve trend prediction result passes over the user feedback parameter red line.
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