An inductive programmed electrical guiding method and device

Abstract

The present application discloses an inductive programmable electrical guidance method and device, which relates to the technical field of medical devices. The inductive programmable electrical guidance method and device can inductively collect and detect the neuroelectrophysiological signals of the epileptic origin area, and can monitor the neuroelectrophysiological signals of the epileptic origin area in real time; establish an epilepsy prediction model based on the potential difference characteristics, and calculate the epilepsy recognition prediction result according to the epilepsy recognition rules; at the same time, by setting a subcutaneous low potential generation module, the stability of the potential difference of the neuroelectrophysiological signals in the epileptic origin area is realized, effectively solving the problems of instability of the external low potential and insufficient potential difference during epileptic seizures, and greatly improving the treatment effect of epileptic seizure intervention.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to an inductive programmed electrical guidance method and device. Background Art

[0002] Electrical guidance for treating epilepsy refers to guiding the high voltage (1000 - 3000 uV) generated by local epileptic discharges in the brain to an extracranial area with a lower voltage (<100 uV) through a guiding electrode made of a high-conductivity material and a circuit control system, reducing the high voltage of epileptic discharges, avoiding the spread of epileptic discharges, and thus preventing and alleviating the occurrence of epileptic clinical symptoms.

[0003] Traditional electrical guidance methods and devices have the function of exporting neuroelectrophysiological signals out of the body, facilitating the study of the relationship between the intensity of current conduction and the treatment effect, and preventing and alleviating the occurrence of epileptic clinical symptoms. There are several prominent problems: First, the traditional method of regulating the guiding current by adjusting the resistance of the guiding electrode has an unsatisfactory actual effect. Second, the traditional electrical guidance by manual intervention does not form a closed-loop control method that relies on sensors for automatic electrical guidance and intelligent recognition, and is inconvenient, untimely, and has an unsatisfactory control effect. Third, the electrophysiological signals rely on manual collection, with poor real-time data acquisition, small data volume, and cumbersome recording and analysis, which is not conducive to the continuous in-depth development of epilepsy treatment research. Fourth, the traditional use of scalp surface bioelectricity as the low electrical potential causes disorders in epilepsy monitoring and intervention due to the instability of scalp surface bioelectricity during epileptic seizures.

[0004] There is an urgent need to develop an inductive and programmed electrical guidance method and device. Summary of the Invention

[0005] The purpose of the present invention is to provide an inductive programmed electrical guidance method and device for at least solving some of the above problems of exporting neuroelectrophysiological signals from the traditional epileptic origin area.

[0006] The present invention provides the following technical solutions:

[0007] The present invention provides an inductive programmed electrical guidance method for stably exporting neuroelectrophysiological signals from the epileptic origin area, and the inductive programmed electrical guidance method includes:

[0008] S1. Obtain neuroelectrophysiological signals from the epileptic origin area;

[0009] S2. Calculate the potential difference characteristics of the neuroelectrophysiological signals;

[0010] S3. Calculate the epilepsy recognition and prediction results based on the potential difference characteristics of the neuroelectrophysiological signals;

[0011] S4. When the epilepsy recognition prediction result does not show an epileptic seizure, obtain the external programming connection status. If it is in the programming connection status and working parameter data is obtained, correct the system operation working parameters and return to S1; if it is not in the programming connection status, return to S1;

[0012] S5. When the epilepsy recognition result shows an epileptic seizure, activate a low electrical potential, establish a potential difference between the epilepsy origin area and the low electrical potential electrode to form a guiding current; wait until the set value of the guiding time ends, terminate the low electrical potential, and return to S1.

[0013] Optionally, the obtaining of the neuroelectrophysiological signal of the epilepsy origin area in S1 includes:

[0014] Set a neuroelectrophysiological signal guiding electrode in the epilepsy origin area;

[0015] Monitor the potential difference of the guiding electrode, which is the neuroelectrophysiological signal of the epilepsy origin area.

[0016] Optionally, the calculating of the potential difference feature of the neuroelectrophysiological signal in S2 includes:

[0017] Extract the potential difference feature in the neuroelectrophysiological signal;

[0018] The potential difference feature is not limited to the magnitude, frequency, and time width of the potential difference.

[0019] Optionally, the calculating of the epilepsy recognition prediction result based on the potential difference feature of the neuroelectrophysiological signal in S3 includes:

[0020] Input the potential difference feature of the neuroelectrophysiological signal into an epilepsy prediction model based on the potential difference feature to obtain the recognition result.

[0021] Optionally, the inputting of the potential difference feature of the neuroelectrophysiological signal into an epilepsy prediction model based on the potential difference feature to obtain the recognition result includes:

[0022] Input the potential difference feature into an epilepsy prediction model based on the potential difference feature;

[0023] The epilepsy prediction model of the potential difference feature outputs the epilepsy recognition prediction result based on the epilepsy recognition rule.

[0024] Optionally, the establishing steps of the epilepsy prediction model based on the potential difference feature include:

[0025] Summarize the rules and relationships between the neuroelectrophysiological signal features and clinical epileptic seizures. The neuroelectrophysiological signal features are not limited to the magnitude, frequency, and time width of the potential difference;

[0026] Use machine learning methods to train the big data of the neuroelectrophysiological signals of historical epileptic seizures to form an epilepsy recognition model;

[0027] The epilepsy recognition rule adopted by the epilepsy prediction model based on potential difference characteristics is:

[0028] Epilepsy identification rule 1: collect neuroelectrophysiological signals. When the potential difference is higher than the potential difference setting value and the number of consecutive occurrences is greater than the number of setting values, it is judged as positive and regarded as an epileptic seizure.

[0029] Optionally, the potential difference setting value is 100uV-500uV; Optionally, the number setting value is 10 times;

[0030] Optionally, the epilepsy recognition rule adopted by the epilepsy prediction model based on potential difference characteristics is:

[0031] Epilepsy recognition rule 2, feature matching of the collected neuroelectrophysiological signal potential difference feature with the neuroelectrophysiological signal potential difference feature of the epilepsy recognition model, when the matching degree is higher than the matching degree threshold, it is judged as positive and regarded as an epileptic seizure; optionally, the matching degree threshold is 80%;

[0032] Optionally, the above-mentioned epilepsy identification rule 1 and / or one or more epilepsy identification rules 2 are selected and combined according to clinical experience, and the probability of epilepsy occurrence is calculated by weighted average method to improve the accuracy of epilepsy diagnosis;

[0033] Optionally, the boot time setting value in S5 is 0.1 second.

[0034] The present application also provides an inductive program-controlled electric guidance device for stably deriving neuroelectrophysiological signals from an epileptic origin area, characterized in that the inductive program-controlled electric guidance device comprises:

[0035] An electric guidance device body, an in vitro programmable control module, at least one guiding electrode terminal, at least one guiding electrode connecting wire, and at least one guiding electrode; the guiding electrode is connected to the guiding electrode terminal through the guiding electrode connecting wire, and is used to guide the neural electrophysiological signal to the electric guidance device body; the number of the guiding electrode connecting wires and the guiding electrodes is consistent with the number of epilepsy origin areas to be guided.

[0036] Optionally, the inductive programmable electric guiding device may further include a soft cover for the guiding electrode terminal, which is used to insulate and seal the guiding electrode terminal when the guiding electrode terminal is not fully used.

[0037] Optionally, the main body of the electric guidance device includes: an electric signal acquisition module, a core processing control module, a wireless communication and energy transmission module, a low potential generation module, and a battery module; the main body of the electric guidance device is set under the scalp when used;

[0038] The electro-signal acquisition module is connected to the guiding electrode terminal, and is used to collect the neuroelectrophysiological signals in the epilepsy origin area and output the neuroelectrophysiological signals to the core processing and control module; the number of electro-signal acquisition modules is the same as the number of guiding electrode terminals and they are correspondingly connected;

[0039] The core processing and control module is used to receive the neuroelectrophysiological signals in the epilepsy origin area output by the electro-signal acquisition module, perform small-signal amplification, filtering, and AD conversion on the neuroelectrophysiological signals, input the digital signals into the microprocessor, and perform the operation and feature extraction of the potential difference; the core processing and control module adopts an epilepsy prediction model based on potential difference features, predicts epilepsy seizures based on potential difference features. If an epilepsy seizure occurs, the core processing and control module sends a start low-potential instruction to the low-potential generation module to establish a current path from the guiding electrode to the low-potential electrode; if no epilepsy seizure occurs, the core processing and control module terminates sending the start low-potential instruction to the low-potential generation module to disconnect the current path from the guiding electrode to the low-potential electrode; the steps for establishing the epilepsy prediction model based on potential difference features include:

[0040] Summarize the laws and relationships between the neuroelectrophysiological signal features and clinical epilepsy seizures. The neuroelectrophysiological signal features are not limited to the magnitude, frequency, and time width of the potential difference E;

[0041] Use machine learning methods to train the big data of neuroelectrophysiological signals of historical epilepsy seizures to form an epilepsy recognition model;

[0042] The epilepsy recognition rules adopted by the epilepsy prediction model based on potential difference features are:

[0043] Epilepsy recognition rule 1: Collect neuroelectrophysiological signals. When the potential difference is higher than the set value of the potential difference and the number of consecutive occurrences is greater than the set number of times, it is determined to be positive and regarded as an epilepsy seizure;

[0044] Optionally, the set value of the potential difference is 100uV - 500uV; optionally, the set number of times is 10 times;

[0045] Optionally, the epilepsy recognition rules adopted by the epilepsy prediction model based on potential difference features are:

[0046] Epilepsy recognition rule 2: Perform feature matching between the potential difference features of the collected neuroelectrophysiological signals and the potential difference features of the neuroelectrophysiological signals of the epilepsy recognition model. When the matching degree is higher than the matching degree threshold, it is determined to be positive and regarded as an epilepsy seizure; optionally, the matching degree threshold is 80%;

[0047] Optionally, select the above epilepsy recognition rule 1 and / or one or more epilepsy recognition rules 2 according to clinical experience for combination, and use the weighted average method to calculate the epilepsy occurrence probability to improve the accuracy of epilepsy diagnosis;

[0048] The wireless communication and energy transmission module is used to establish information communication and energy transmission with the external programming module. On the one hand, the wireless communication and energy transmission module obtains the working parameters input by the external programming module through wireless transmission. The working parameters are not limited to the nerve electrophysiological signal monitoring frequency, the low potential values of different guiding electrode paths, the potential difference setting value, and the number setting value. It sends the output data of the core processing and control module to the external programming module. The output data of the core processing and control module is not limited to the terminal numbers of the collected nerve electrophysiological signals and the potential difference characteristics of the nerve electrophysiological signals. On the other hand, the wireless communication and energy transmission module establishes a wireless power transmission connection with the external programming module and stores the obtained electric energy in the battery module to achieve wireless power transmission charging.

[0049] The low potential generation module is externally provided with low potential electrode plates, and the low potential electrode plates are connected to the guiding electrode connection terminals. The low potential generation module is used to receive the start low potential instruction sent by the core processing and control module. When the low potential generation module receives the start low potential instruction, it connects the low potential generated by the module to the low potential electrode plate, thereby establishing a stable nerve electrophysiological signal potential difference between the guiding electrode and the low potential electrode plate to achieve current guidance. When the low potential generation module does not receive the start low potential instruction, it disconnects the low potential generated by the module from the low potential electrode plate and restores to the nerve electrophysiological signal monitoring state of the epilepsy origin area of the guiding device main body. The number of low potential generation modules is the same as the number of guiding electrode connection terminals and is correspondingly connected.

[0050] The battery module is used to store the electric energy obtained by the wireless communication and energy transmission module from the external programming module and provide the electric energy required for the operation of other modules of the electric guiding device main body.

[0051] Optionally, the external programming module includes an information communication module and a wireless power output module. The information communication module is used to transmit the working parameters to the wireless communication and energy transmission module of the electric guiding device main body and obtain the output data of the core processing and control module and send it to a computer for data storage and analysis. The wireless power output module is used to transmit electric energy to the wireless communication and energy transmission module of the electric guiding device main body to achieve charging of the battery module of the guiding device main body.

[0052] The present invention provides an inductive programmable electrical guidance method and device. First, the electrophysiological signals of the epileptic origin area are inductively monitored through an electrical signal acquisition module and a guiding electrode, realizing real-time monitoring of the electrophysiological signals of the epileptic origin area. Second, through the epilepsy prediction model based on the potential difference feature of the core processing and control module, one or more epilepsy recognition rules are integrated, effectively improving the rapidity and accuracy of epilepsy seizure judgment, providing a prerequisite for subsequent epilepsy intervention. Third, a stable low potential is generated through the low potential generation module, establishing a stable potential difference of the electrophysiological signal between the guiding electrode and the low potential electrode sheet, effectively solving the problem of unstable low potential in vitro during epilepsy seizures, and greatly improving the treatment effect of epilepsy seizure intervention. Description of the Drawings

[0053] Figure 1 is a schematic flow chart of the inductive programmable electrical guidance method in an embodiment of the present application;

[0054] Figure 2 is a schematic structural diagram of the inductive programmable electrical guidance device in an embodiment of the present application;

[0055] Figure 3 is a schematic diagram of the internal module connection of the main body of the guidance device in an embodiment of the present application;

[0056] The names of the respective parts corresponding to the numbers in the figure are: 1 - main body of the electrical guidance device, 2 - guiding electrode terminal, 3 - guiding electrode connection line, 4 - guiding electrode, 5 - soft cover of the guiding electrode terminal, 6 - external programming module, 6 - external programming module, 7 - electrical signal acquisition module, 8 - core processing and control module, 9 - wireless communication and energy transmission module, 10 - low potential generation module, 101 - low potential electrode sheet, 11 - battery module. Detailed Embodiments

[0057] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0058] Figure 1 is a schematic flow chart of the inductive programmable electrical guidance method in an embodiment of the present application.

[0059] As Figure 1 shown, the inductive programmable electrical guidance method includes:

[0060] S1. Obtain the electrophysiological signals of the epileptic origin area;

[0061] S2. Calculate the potential difference features of the neuroelectrophysiological signals;

[0062] S3. Calculate the epilepsy recognition prediction result based on the potential difference features of the neuroelectrophysiological signals;

[0063] S4. When the epilepsy recognition prediction result does not show an epileptic seizure, obtain the external programming connection status. If it is in the programming connection status and the working parameter data is obtained, correct the system operation working parameters and return to S1; if it is not in the programming connection status, return to S1;

[0064] S5. When the epilepsy recognition result shows an epileptic seizure, activate the low potential, establish the potential difference between the epilepsy origin area and the low potential electrode to form a guiding current; wait until the set value of the guiding time ends, terminate the low potential, and return to S1.

[0065] See Figure 1 , in this embodiment,

[0066] The obtaining of the neuroelectrophysiological signals of the epilepsy origin area in S1 includes:

[0067] Set neuroelectrophysiological signal guiding electrodes in the epilepsy origin area;

[0068] Monitor the potential difference of the guiding electrodes, which is the neuroelectrophysiological signal of the epilepsy origin area.

[0069] Optionally, the calculating of the potential difference features of the neuroelectrophysiological signals in S2 includes:

[0070] Extract the potential difference features in the neuroelectrophysiological signals;

[0071] The potential difference features are not limited to the magnitude, frequency, and time width of the potential difference.

[0072] See Figure 1 , in this embodiment, the calculating of the epilepsy recognition prediction result based on the potential difference features of the neuroelectrophysiological signals in S3 includes:

[0073] Input the potential difference features of the neuroelectrophysiological signals into the epilepsy prediction model based on the potential difference features to obtain the recognition result.

[0074] Optionally, the inputting of the potential difference features of the neuroelectrophysiological signals into the epilepsy prediction model based on the potential difference features to obtain the recognition result includes:

[0075] Input the potential difference features into the epilepsy prediction model based on the potential difference features;

[0076] The epilepsy prediction model of the potential difference features outputs the epilepsy recognition prediction result based on the epilepsy recognition rules.

[0077] Optionally, the steps for establishing the epilepsy prediction model based on the potential difference feature include:

[0078] Summarize the laws and relationships between the neuroelectrophysiological signal features and clinical epileptic seizures. The neuroelectrophysiological signal features are not limited to the magnitude, frequency, and time width of the potential difference;

[0079] Use machine learning methods to train the big data of neuroelectrophysiological signals of historical epileptic seizures to form an epilepsy recognition model;

[0080] The epilepsy recognition rule adopted by the epilepsy prediction model based on the potential difference feature is:

[0081] Epilepsy recognition rule 1: Collect neuroelectrophysiological signals. When the potential difference is higher than the set value of the potential difference and the number of consecutive occurrences is greater than the set value of the number of times, it is determined to be positive and regarded as an epileptic seizure;

[0082] Optionally, the set value of the potential difference is 100uV - 500uV; optionally, the set value of the number of times is 10 times;

[0083] Optionally, the epilepsy recognition rule adopted by the epilepsy prediction model based on the potential difference feature is:

[0084] Epilepsy recognition rule 2: Perform feature matching between the potential difference features of the collected neuroelectrophysiological signals and the potential difference features of the neuroelectrophysiological signals of the epilepsy recognition model. When the matching degree is higher than the matching degree threshold, it is determined to be positive and regarded as an epileptic seizure; optionally, the matching degree threshold is 80%;

[0085] Optionally, select the above epilepsy recognition rule 1 and / or one or more epilepsy recognition rules 2 according to clinical experience for combination, and use the weighted average method to calculate the epilepsy occurrence probability to improve the accuracy of epilepsy diagnosis;

[0086] See Figure 1 In this embodiment, optionally, the set value of the guiding time in S5 is 0.1 second.

[0087] Figure 2 It is a schematic structural diagram of an inductive programmable electrical guiding device in an embodiment of the present application;

[0088] As Figure 2 shown, the inductive programmable electrical guiding device includes:

[0089] The main body of the electrical guiding device 1, the extracorporeal programming module 6, at least one guiding electrode terminal 2, at least one guiding electrode connecting wire 3, and at least one guiding electrode 4; the guiding electrode 4 is connected to the guiding electrode terminal 2 through the guiding electrode connecting wire 3, and is used to guide the neuroelectrophysiological signal to the main body 1 of the electrical guiding device; the number of the guiding electrode connecting wires 3 and the guiding electrode 4 is the same as the number of epileptic origin areas to be guided.

[0090] Optionally, the inductive programmable electrical guiding device may further include a soft cover 5 for the guiding electrode terminal, which is used to insulate and seal the guiding electrode terminal 2 when the guiding electrode terminal 2 is not fully used.

[0091] Figure 3 It is a schematic diagram of the internal module connection of the guiding device main body in an embodiment of the present application.

[0092] As Figure 3 shown, the present application also discloses that the main body 1 of the electrical guiding device includes: an electrical signal acquisition module 7, a core processing and control module 8, a wireless communication and energy transmission module 9, a low potential generation module 10, and a battery module 11; the main body 1 of the electrical guiding device is arranged under the scalp during application;

[0093] The electrical signal acquisition module 7 is connected to the guiding electrode terminal 2, and is used to acquire the neuroelectrophysiological signal of the epileptic origin area and output the neuroelectrophysiological signal to the core processing and control module 8; the number of the electrical signal acquisition modules 7 is the same as the number of the guiding electrode terminals 2 and they are correspondingly connected;

[0094] The core processing and control module 8 is used to receive the neuroelectrophysiological signal of the epileptic origin area output by the electrical signal acquisition module 7, perform small signal amplification, filtering, and AD conversion on the neuroelectrophysiological signal, input the digital signal into the microprocessor, and perform the operation and feature extraction of the potential difference; the core processing and control module 8 adopts an epilepsy prediction model based on the potential difference feature, predicts epileptic seizures based on the potential difference feature, if an epileptic seizure occurs, the core processing and control module 8 sends a start low potential instruction to the low potential generation module 10 to establish a current path from the guiding electrode 4 to the low potential electrode; if no epileptic seizure occurs, the core processing and control module 8 terminates sending the start low potential instruction to the low potential generation module 10 to disconnect the current path from the guiding electrode 4 to the low potential electrode; the steps for establishing the epilepsy prediction model based on the potential difference feature include:

[0095] Summarize the rules and relationships between the neuroelectrophysiological signal characteristics and clinical epileptic seizures, and the neuroelectrophysiological signal characteristics are not limited to the magnitude, frequency, and time width of the potential difference E;

[0096] Use machine learning methods to train the big data of neuroelectrophysiological signals of historical epileptic seizures to form an epilepsy recognition model;

[0097] The epilepsy recognition rule adopted by the epilepsy prediction model based on the potential difference feature is as follows:

[0098] Epilepsy recognition rule 1: Collect the neuroelectrophysiological signal. When the potential difference is higher than the set value of the potential difference and the number of consecutive occurrences is greater than the set value of the number of times, it is determined to be positive and regarded as an epileptic seizure.

[0099] Optionally, the set value of the potential difference is 100uV - 500uV; optionally, the set value of the number of times is 10 times.

[0100] Optionally, the epilepsy recognition rule adopted by the epilepsy prediction model based on the potential difference feature is as follows:

[0101] Epilepsy recognition rule 2: Perform feature matching between the potential difference feature of the collected neuroelectrophysiological signal and the potential difference feature of the neuroelectrophysiological signal of the epilepsy recognition model. When the matching degree is higher than the matching degree threshold, it is determined to be positive and regarded as an epileptic seizure; optionally, the matching degree threshold is 80%.

[0102] Optionally, select the above epilepsy recognition rule 1 and / or one or more epilepsy recognition rules 2 according to clinical experience for combination, and calculate the epilepsy occurrence probability by means of weighted average to improve the accuracy of epilepsy diagnosis.

[0103] The wireless communication and energy transmission module 9 is used to establish information communication and energy transmission with the external programming module 6. On the one hand, the wireless communication and energy transmission module 9 obtains the working parameters input by the external programming module 6 through wireless transmission; the working parameters include, but are not limited to, the monitoring frequency of the neuroelectrophysiological signal, the low potential value of different guiding electrode paths, the set value of the potential difference, and the set value of the number of times; send the output data of the core processing control module 8 to the external programming module 6, and the output data of the core processing control module 8 includes, but is not limited to, the terminal serial number of the collected neuroelectrophysiological signal and the potential difference feature of the neuroelectrophysiological signal. On the other hand, the wireless communication and energy transmission module 9 establishes a wireless power transmission connection with the external programming module 6 and stores the obtained electric energy in the battery module 11 to achieve wireless power transmission charging.

[0104] The low-potential generation module 10 is externally provided with a low-potential electrode plate 101, and the low-potential electrode plate 101 is connected to the guiding electrode connection terminal 2. The low-potential generation module 10 is configured to receive the start low-potential instruction sent by the core processing and control module 8. When the low-potential generation module 10 receives the start low-potential instruction, it connects the low potential generated by the module to the low-potential electrode plate 101, thereby establishing a stable potential difference of the neuroelectrophysiological signal between the guiding electrode 4 and the low-potential electrode plate 101 to achieve current guidance. When the low-potential generation module 10 does not receive the start low-potential instruction, it disconnects the low potential generated by the module from the low-potential electrode plate 101 and restores to the monitoring state of the neuroelectrophysiological signal in the epilepsy origin area of the guiding device main body. The number of the low-potential generation modules 10 is the same as the number of the guiding electrode connection terminals 2 and they are correspondingly connected.

[0105] The battery module 11 is configured to store the electric energy obtained by the wireless communication and energy transmission module 9 from the external programming module 6 and provide the electric energy required for the operation of other modules of the electric guiding device main body 1.

[0106] Optionally, the external programming module 6 includes an information communication module and a wireless power output module. The information communication module is configured to transmit the working parameters to the wireless communication and energy transmission module 9 of the electric guiding device main body 1, obtain the output data of the core processing and control module 8, and send it to a computer for data storage and analysis. The wireless power output module is configured to transmit electric energy to the wireless communication and energy transmission module 9 of the electric guiding device main body 1 to charge the battery module 11 of the guiding device main body.

[0107] For the convenience of description, the above devices are described by function as separate modules. Of course, when implementing the present application, the functions of each module can be implemented in one or more software and / or hardware.

[0108] Those skilled in the art of the present technology can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used here have the same meaning as the general understanding of those of ordinary skill in the field to which the present invention belongs. It should also be understood that those terms defined in a general dictionary, such as those terms, should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted with an idealized or overly formal meaning unless specifically defined.

[0109] For the method embodiments, for the sake of simplicity of description, they are all expressed as a series of combinations of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited by the described order of actions, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily essential for the embodiments of the present invention.

[0110] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An inductive programmable electric guidance device for stably deriving neurophysiological signals from the epilepsy origin area, characterized in that: The inductive program-controlled electric guidance device comprises: An electric guidance device body, an in vitro programmable control module, at least one guiding electrode terminal, at least one guiding electrode connecting wire, and at least one guiding electrode; the guiding electrode is connected to the guiding electrode terminal through the guiding electrode connecting wire, and is used to guide the neural electrophysiological signal to the electric guidance device body; the number of the guiding electrode connecting wires and the guiding electrodes is consistent with the number of epilepsy origin areas to be guided; The main body of the electric guidance device includes: an electric signal acquisition module, a core processing control module, a wireless communication and energy transmission module, a low potential generation module, and a battery module; the main body of the electric guidance device is placed under the scalp when in use; The core processing control module is used to receive the neuroelectrophysiological signal of the epilepsy origin area output by the electrical signal acquisition module, and perform small signal amplification, filtering, and AD conversion on the neuroelectrophysiological signal, and input the digital signal into the microprocessor to perform potential difference calculation and feature extraction; the core processing control module adopts an epilepsy prediction model based on potential difference characteristics, and predicts epileptic seizures based on the potential difference characteristics. If epileptic seizures occur, the core processing control module sends a low potential start instruction to the low potential generation module to establish a current path from the guide electrode to the low potential electrode; if epileptic seizures do not occur, the core processing control module stops sending the low potential start instruction to the low potential generation module, and disconnects the current path from the guide electrode to the low potential electrode; the steps of establishing the epilepsy prediction model based on potential difference characteristics include: Summarize the laws and relationships between neuroelectrophysiological signal characteristics and clinical epileptic seizures, wherein the neuroelectrophysiological signal characteristics are not limited to the magnitude, frequency, and time width of the potential difference E; The machine learning method is used to train the big data of neurophysiological signals of historical epileptic seizures to form an epilepsy recognition model; The epilepsy recognition rule adopted by the epilepsy prediction model based on potential difference characteristics is: Epilepsy identification rule 1: collect neuroelectrophysiological signals. When the potential difference is higher than the potential difference setting value and the number of consecutive occurrences is greater than the number of setting values, it is judged as positive and regarded as an epileptic seizure. Epilepsy recognition rule 2: feature matching is performed between the collected neuroelectrophysiological signal potential difference feature and the neuroelectrophysiological signal potential difference feature of the epilepsy recognition model. When the matching degree is higher than the matching degree threshold, it is judged as positive and regarded as an epileptic seizure. According to clinical experience, the above-mentioned epilepsy identification rule 1 and / or one or more epilepsy identification rules 2 are selected and combined, and the probability of epilepsy occurrence is calculated by weighted average method to improve the accuracy of epilepsy diagnosis; The low potential generating module is provided with a low potential electrode sheet on the outside, and the low potential electrode sheet is connected to the guiding electrode terminal; the low potential generating module is used to receive the low potential start instruction issued by the core processing control module. When the low potential generating module receives the low potential start instruction, the low potential generated by the module is connected to the low potential electrode sheet, thereby establishing a stable neuro-electrophysiological signal potential difference between the guiding electrode and the low potential electrode sheet, thereby realizing current guidance; when the low potential generating module does not receive the low potential start instruction, the low potential generated by the module is disconnected from the low potential electrode sheet, and the neuro-electrophysiological signal monitoring state of the epilepsy origin area of ​​the guiding device body is restored; the number of the low potential generating modules is the same as the number of the guiding electrode terminals, and they are connected accordingly.

2. The inductive program-controlled electric guidance device according to claim 1, characterized in that: The inductive programmable electric guidance methods used include: S1. Obtaining neuroelectrophysiological signals from the epileptic origin area; S2, calculating the potential difference characteristics of the neural electrophysiological signal; S3, calculating epilepsy recognition prediction results based on the potential difference characteristics of neuroelectrophysiological signals; S4. When the epilepsy identification prediction result does not show an epileptic seizure, obtain the external program control connection state. If it is in the program control connection state and the working parameter data is obtained, correct the system operation parameters and return to S1; if it is not in the program control connection state, return to S1; S5. When the epilepsy identification result shows an epileptic seizure, start the low potential, establish the potential difference between the epilepsy origin area and the low potential electrode, and form a guiding current; wait for the guiding time setting value to end, terminate the low potential, and return to S1.

3. The inductive program-controlled electric guidance device according to claim 2, characterized in that: In the inductive programmable electrical guidance method, S1 acquires the neuroelectrophysiological signal of the epilepsy origin area, including: Setting up nerve electrophysiological signal guiding electrodes in the epileptic origin area; Monitor the potential difference of the guiding electrode, which is the neurophysiological signal of the epileptic origin area; The S2 calculates the potential difference characteristics of the neural electrophysiological signal, including: Extract the potential difference features from neural electrophysiological signals; The potential difference characteristics are not limited to the size, frequency, and time width of the potential difference.

4. The inductive program-controlled electric guidance device according to claim 2, characterized in that: In the inductive programmable electrical guidance method, the S3 calculates the epilepsy identification prediction result based on the potential difference characteristics of the neuroelectrophysiological signal, including: Inputting the potential difference feature of the neuroelectrophysiological signal into an epilepsy prediction model based on the potential difference feature to obtain a recognition result; The step of inputting the potential difference feature of the neuroelectrophysiological signal into an epilepsy prediction model based on the potential difference feature to obtain a recognition result includes: inputting the potential difference feature into an epilepsy prediction model based on the potential difference feature; The epilepsy prediction model based on potential difference features is based on epilepsy recognition rules and outputs epilepsy recognition prediction results; The steps of establishing the epilepsy prediction model based on potential difference characteristics include: Summarize the laws and relationships between neuroelectrophysiological signal characteristics and clinical epileptic seizures, wherein the neuroelectrophysiological signal characteristics are not limited to the magnitude, frequency, and time width of the potential difference; The machine learning method is used to train the big data of neurophysiological signals of historical epileptic seizures to form an epilepsy recognition model; The epilepsy recognition rule adopted by the epilepsy prediction model based on potential difference characteristics is: Epilepsy identification rule 1: collect neuroelectrophysiological signals. When the potential difference is higher than the potential difference setting value and the number of consecutive occurrences is greater than the number of setting values, it is judged as positive and regarded as an epileptic seizure. The potential difference setting value is 100uV-500uV; the number setting value is 10 times; The epilepsy recognition rules used by the epilepsy prediction model based on potential difference characteristics are: Epilepsy recognition rule 2, feature matching is performed on the collected neuroelectrophysiological signal potential difference feature and the neuroelectrophysiological signal potential difference feature of the epilepsy recognition model. When the matching degree is higher than the matching degree threshold, it is judged as positive and regarded as an epileptic seizure; the matching degree threshold is 80%; Based on clinical experience, the above-mentioned epilepsy identification rule 1 and / or one or more epilepsy identification rules 2 are selected for combination, and the probability of epilepsy occurrence is calculated using a weighted average method to improve the accuracy of epilepsy diagnosis.

5. The inductive program-controlled electric guidance device according to claim 1, characterized in that: The inductive program-controlled electric guiding device also includes a soft cover for the guiding electrode terminal, which is used to insulate and seal the guiding electrode terminal when the guiding electrode terminal is not fully used.

6. The inductive program-controlled electric guidance device according to claim 1, characterized in that: The electrical signal acquisition module is connected to the guide electrode terminal, and is used to acquire the neuro-electrophysiological signals of the epilepsy origin area, and output the neuro-electrophysiological signals to the core processing control module; The number of the electrical signal acquisition modules is the same as the number of the guide electrode wiring terminals, and they are connected correspondingly; The wireless communication and energy transmission module is used to establish information communication and energy transmission with the external program control module. On the one hand, the wireless communication and energy transmission module obtains the working parameters input by the external program control module by wireless transmission; the working parameters are not limited to the monitoring frequency of the neuroelectrophysiological signal, the low potential value of different guiding electrode pathways, the potential difference setting value, and the number setting value; the output data of the core processing control module is sent to the external program control module, and the output data of the core processing control module is not limited to the terminal number of the collected neuroelectrophysiological signal and the potential difference characteristics of the neuroelectrophysiological signal; On the other hand, the wireless communication and energy transmission module establishes a wireless power transmission connection with the external programmable control module, and stores the acquired electric energy in the battery module to realize wireless power transmission charging; The battery module is used to store the electric energy obtained by the wireless communication and energy transmission module from the external programmable control module, and to provide the electric energy required for the operation of other modules of the electric guidance device body.

7. The inductive program-controlled electric guidance device according to claim 1, characterized in that: The in vitro programmable control module includes an information communication module and a wireless power output module; the information communication module is used to transmit working parameters to the wireless communication and energy transmission module of the electric guidance device body, and obtain the output data of the core processing control module, and send it to the computer for data storage and analysis; the wireless power output module is used to transmit electric energy to the wireless communication and energy transmission module of the electric guidance device body to realize charging of the battery module of the guidance device body.

8. The inductive program-controlled electric guidance device according to claim 1, characterized in that: The potential difference setting value is 100uV-500uV, the number setting value is 10 times, and the matching degree threshold is 80%.

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