CN114849063A

CN114849063A - Extracorporeal charger, program-controlled system, and computer-readable storage medium

Info

Publication number: CN114849063A
Application number: CN202210783697.9A
Authority: CN
Inventors: 戴春晓; 林凯斌
Original assignee: Sceneray Co Ltd
Current assignee: Jingyu Medical Technology Suzhou Co ltd
Priority date: 2022-07-05
Filing date: 2022-07-05
Publication date: 2022-08-05
Anticipated expiration: 2042-07-05
Also published as: WO2024007823A1; CN114849063B

Abstract

The application discloses an in vitro charger, a program control system and a computer readable storage medium, wherein the in vitro charger respectively performs data interaction with an in vitro program controller and a stimulator implanted in a patient body, and the in vitro charger is provided with an interaction assembly; the extracorporeal charger includes a controller configured to: receiving a trigger operation by the interactive component; responding to the triggering operation, and detecting whether the external program controller and the stimulator are in a program control connection state; and when the external program controller and the stimulator are in a program-controlled connection state, controlling the stimulator to stop delivering the electrical stimulation. In the program control process, the emergency stop function is realized by utilizing the interaction assembly, so that the life safety of the patient is ensured to the great extent.

Description

Extracorporeal charger, program-controlled system, and computer-readable storage medium

Technical Field

The present application relates to the field of implantable devices, remote programming, and deep learning, and more particularly to an extracorporeal charger, a programming system, and a computer-readable storage medium.

Background

The external charger that current possesses programme-controlled function is at programme-controlled in-process, what act as is the medium that external program controller and stimulator programme-controlled connection, if let the stimulator stop amazing, need external program controller to take place programme-controlled instruction, pass through external charger and forward programme-controlled instruction to the stimulator, and external charger itself can't independent control stimulator stop amazing, can have very big potential safety hazard like this, when external program controller breaks down, can't send the programme-controlled instruction that stops amazing to external charger, in case the patient just in time uncomfortable symptom appears in this, can to a great extent influence patient's life safety.

Patent CN105641808A discloses a wireless charger and an implantable neurostimulator capable of being programmed while charging, the charger includes: the charging and transmitting unit is used for generating wireless charging electromagnetic waves with a first preset frequency; the first communication unit of the charger is used for sending and receiving communication signals at a second preset frequency, and the first preset frequency is different from the second preset frequency; the charger micro-control unit is used for controlling the charging sending unit and the charger first communication unit; the micro control unit charger is respectively connected with the charging sending unit and the first communication unit of the charger. The charger cannot independently control the stimulator to stop stimulating in the program control process, and once the external program controller fails, the charger may cause irreversible damage to the human body.

Therefore, it is desirable to provide an extracorporeal charger, a program control system and a computer readable storage medium, which solve the problems of the prior art.

Disclosure of Invention

The application aims to provide an external charger, a program control system and a computer readable storage medium, and in the program control process, an interactive component is utilized to realize an emergency stop function, so that the life safety of a patient is guaranteed to a great extent.

The purpose of the application is realized by adopting the following technical scheme:

in a first aspect, the present application provides an extracorporeal charger, which performs data interaction with an extracorporeal program controller and a stimulator implanted in a patient, respectively, the extracorporeal charger being provided with an interaction component;

the extracorporeal charger includes a controller configured to:

receiving a trigger operation by the interactive component;

responding to the triggering operation, and detecting whether the external program controller and the stimulator are in a program control connection state;

and when the external program controller and the stimulator are in a program-controlled connection state, controlling the stimulator to stop delivering the electrical stimulation.

The technical scheme has the beneficial effects that: the external charger is provided with an interaction assembly, the triggering operation of a user can be received through the interaction assembly, the stimulator is not directly stopped from stimulating at the moment, but the external program controller and the stimulator are detected to be in a program control connection state, and only when the external program controller and the stimulator are in the program control connection state, the stimulator is controlled to stop delivering electrical stimulation.

Only at programme-controlled in-process, the mutual subassembly of external charger just can trigger for the stimulation of emergency stop, like this, external charger can stop delivering the electro photoluminescence at programme-controlled in-process independent control stimulator, when external program controller broke down and lead to unable to stop amazing programme-controlled instruction to external charger transmission, can directly utilize mutual subassembly to receive and trigger the operation, thereby realize the scram function, ensured patient's life safety in the very big degree.

In some optional embodiments, the controller stores one or more pieces of authenticated identity information, and the controller is further configured to receive the trigger operation by:

receiving identity information to be verified by utilizing the interaction component;

and matching the identity information to be verified with each verified identity information, and stopping matching and receiving the triggering operation of the interaction component when the identity information to be verified is successfully matched with one verified identity information.

The technical scheme has the beneficial effects that: the identity information to be verified is received through the interaction assembly, the identity information to be verified is matched with each verified identity information to achieve identity authentication, when the identity information to be verified is successfully matched with one verified identity information, it is indicated that a user corresponding to the identity information to be verified passes the identity authentication, and the interaction assembly can be used for receiving the triggering operation of the user only when the identity authentication passes.

The triggering operation of all users is not effective, and only the triggering operation of the user passing the identity authentication is effective, so that the sudden stop of stimulation caused by the intentional or unintentional triggering of the emergency stop function of the external charger by irrelevant personnel is avoided, and the life safety of a patient is further ensured.

In some optional embodiments, the interaction component comprises a fingerprint identification button and/or a microphone, and the identity information to be verified comprises fingerprint information and/or voice information.

The technical scheme has the beneficial effects that: the fingerprint identification button can receive fingerprint information of a user to realize fingerprint identification, and the microphone can receive voice information of the user to realize voice identification.

In some optional embodiments, the controller is further configured to control the stimulator to stop delivering electrical stimulation in the following manner:

when the external program controller and the stimulator are in a program-controlled connection state, detecting whether a preset event occurs or not, and when the preset event occurs, controlling the stimulator to stop delivering electrical stimulation;

wherein, the preset event comprises one or more of the following:

an abnormality occurs in the patient's bioelectric signal;

the electric quantity of the stimulator is lower than a preset electric quantity threshold;

the program-controlled application of the external program controller does not respond;

the connection between the external program controller and the external charger is interrupted;

the similarity of the actual configuration information of the external programmer and the reference configuration information of the patient is not greater than a second similarity threshold.

The technical scheme has the beneficial effects that: when trigger operation is received in the program control process, the stimulator is not directly controlled to stop delivering electrical stimulation, but whether a preset event occurs or not is detected, whether the need of stopping stimulation exists or not is further confirmed (the preset event occurs to indicate that the stimulation needs to be stopped, and the preset event does not occur to indicate that the stimulation is not required to be stopped), the stimulator is controlled to stop delivering electrical stimulation only when the preset event occurs, and the stimulator is not controlled to stop delivering electrical stimulation if the preset event does not occur, so that misoperation of a user is avoided.

On one hand, when the preset event comprises abnormal bioelectricity signals of the patient, the abnormal state of the patient is indicated by the occurrence of the preset event, the patient is likely to suffer from the disease, and the stimulation needs to be stopped at the moment; on one hand, when the preset event comprises that the electric quantity of the external charger is lower than a preset electric quantity threshold value, the occurrence of the preset event indicates that the electric quantity of the stimulator is too low to support long-time electric stimulation, and at the moment, stimulation needs to be stopped; on one hand, when the preset event comprises that the program control application of the external program controller does not respond, the external program controller indicates that the external program controller cannot program the stimulator, the stimulator is in an uncontrollable state, and stimulation needs to be stopped at the moment; on one hand, when the preset event comprises that the connection between the external program controller and the external charger is interrupted, the external program controller indicates that the external program controller cannot program the stimulator through the external charger, the stimulator is in an uncontrollable state, and stimulation needs to be stopped at the moment; on the other hand, when the preset event includes that the similarity between the actual configuration information of the external program controller and the reference configuration information of the patient is not greater than the preset similarity threshold, the occurrence of the preset event indicates that the difference between the actual configuration information of the external program controller and the reference configuration information is too large, the program control instruction corresponding to the external program controller may not be suitable for the patient, and at this time, stimulation needs to be stopped.

In some optional embodiments, the preset event includes an abnormality of the bioelectric signal of the patient, and the process of detecting whether the bioelectric signal of the patient is abnormal is as follows:

inputting the bioelectrical signal of the patient into an anomaly detection model so as to output a corresponding prediction similarity of the bioelectrical signal; the abnormality detection model is used for comparing the bioelectrical signals with each abnormal bioelectrical signal in an abnormality database respectively to obtain the similarity between the bioelectrical signals and each abnormal bioelectrical signal, and taking the highest similarity in a plurality of similarities corresponding to the bioelectrical signals as the prediction similarity corresponding to the bioelectrical signals;

when the prediction similarity is not smaller than a first similarity threshold value, determining that the bioelectrical signal is abnormal;

when the predicted similarity is smaller than the first similarity threshold, determining that no abnormality has occurred in the bioelectrical signal.

The technical scheme has the beneficial effects that: the bioelectricity signals of the patient are input into an abnormality detection model, and the corresponding prediction similarity of the bioelectricity signals is determined by using the abnormality detection model, wherein the abnormality detection model can call an abnormality database, the abnormality database stores a large number of abnormal bioelectricity signals, specifically, the abnormal bioelectricity signals can be bioelectricity signals corresponding to different patients in the onset of disease, and can also be bioelectricity signals corresponding to the patients in the onset of disease, when the patients are in the Parkinson disease, the abnormal bioelectricity signals of the abnormality database can comprise the bioelectricity signals corresponding to the Parkinson patients in the onset of disease, the bioelectricity signals of the patients are respectively compared with each abnormal bioelectricity signal in the abnormality database, the highest similarity among the similarities is used as the prediction similarity, and whether the bioelectricity signals of the patients are abnormal or not is judged by comparing the prediction similarity with a preset similarity threshold value, obviously, the higher the predicted similarity is, the more likely the bioelectrical signal of the patient is to be abnormal and the more likely the patient is to be attacked, the bioelectrical signal of the patient is compared with a plurality of abnormal bioelectrical signals stored in an abnormal database in advance one by one to find out the abnormal bioelectrical signal with the highest similarity, and the accuracy of the abnormal detection result is further improved.

In some optional embodiments, the preset event comprises a similarity of actual configuration information of the extracorporeal programmer to reference configuration information of the patient being no greater than a second similarity threshold;

the reference configuration information is obtained as follows:

inputting the disease information of the patient into a reference configuration model to obtain the reference configuration information;

wherein the training process of the reference configuration model comprises:

acquiring a first training set, wherein the first training set comprises a plurality of first training data, and each first training data comprises disease information of a sample object and marking data of reference configuration information of the sample object;

for each first training data in the first training set, performing the following:

inputting disease information of a sample object in the first training data into a preset first deep learning model to obtain prediction data of reference configuration information of the sample object;

updating model parameters of the first deep learning model based on the prediction data and the labeling data of the reference configuration information of the sample object;

detecting whether a preset first training end condition is met; if yes, taking the trained first deep learning model as the reference configuration model; and if not, continuing to train the first deep learning model by utilizing the next first training data.

The technical scheme has the beneficial effects that: through design, a proper amount of neuron calculation nodes and a multilayer operation hierarchical structure are established, a proper input layer and a proper output layer are selected, a preset first deep learning model can be obtained, a function relation from input to output is established through learning and tuning of the preset first deep learning model, although the function relation between input and output cannot be found 100%, the function relation can be close to a real association relation as far as possible, the reference configuration model obtained through training can obtain reference configuration information corresponding to a stimulator based on disease information of a patient, and the accuracy and the reliability of a calculation result are high.

In some optional embodiments, the extracorporeal charger further comprises an alert component, the controller further configured to:

receiving feedback information of the stimulator, the feedback information indicating whether the stimulator stopped delivering electrical stimulation;

and based on the feedback information, controlling the warning state of the warning component so that the warning component presents different warning states when the feedback information is different.

The technical scheme has the beneficial effects that: through setting up the alarm subassembly, can control the warning state of alarm subassembly to make the alarm subassembly present different warning states according to different feedback information, like this, whether the stimulator stops successfully to deliver the warning state that the electro photoluminescence can directly pass through the alarm subassembly and learns, makes the patient in time know the amazing and has or not to stop, alleviates patient's psychological burden.

In some optional embodiments, the alarm assembly comprises a display light, and the alert state comprises one or more of a switch state, a color, a brightness, and a flashing frequency.

The technical scheme has the beneficial effects that: the alert component may include a display light, and the alert status may include a switch status, a color, a brightness, a flashing frequency, etc., such that turning on or off the display light may be used to indicate whether the stimulator stopped delivering electrical stimulation, or different colors of illumination of the display light may be used to indicate whether the stimulator stopped delivering electrical stimulation, or different brightness of illumination of the display light may be used to indicate whether the stimulator stopped delivering electrical stimulation, or different flashing frequencies of the display light may be used to indicate whether the stimulator stopped delivering electrical stimulation.

In some optional embodiments, the external charger and the external programmer perform data interaction by means of bluetooth communication, and the external charger and the stimulator perform data interaction by means of radio frequency communication.

The technical scheme has the beneficial effects that: the external charger and the external program controller can perform data interaction in a Bluetooth communication mode, and the Bluetooth communication mode has low power consumption and large coverage area; the external charger and the stimulator can perform data interaction in a radio frequency communication mode, the communication frequency band of the radio frequency communication mode is wide, the amount of transmittable information is large, and the data transmission speed and the signal processing speed are high.

In some alternative embodiments, the patient's disease type comprises one or more of epilepsy, tremor, parkinson's disease, depression, obsessive compulsive disorder, alzheimer's disease, and drug addiction.

The technical scheme has the beneficial effects that: the external charger is suitable for patients with different disease types, and has wide application range.

In some optional embodiments, the controller stores an event handling function, the controller further configured to:

responding to the trigger operation, and adding a stimulation stopping event corresponding to the trigger operation into an event queue;

processing the events in the event queue according to the priorities of the events by using the event processing function, wherein the priority of the stimulation stopping event is the highest priority.

The technical scheme has the beneficial effects that: the priority of the stimulation stopping event corresponding to the triggering operation is set to be the highest priority, so that the stimulation stopping event can be processed preferentially by the event processing function, the response speed of the triggering operation is improved, the emergency stop function can be realized in a short time, and the life safety of a patient is further guaranteed.

In a second aspect, the present application provides a programmed system comprising a stimulator implanted in a patient, an extracorporeal programmer and any of the extracorporeal chargers described above.

In some alternative embodiments, the extracorporeal programmer is integrated with the extracorporeal charger.

In a third aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the functionality of any of the controllers described above.

Drawings

The present application is further described below with reference to the drawings and examples.

Fig. 1 is a block diagram of a program control system according to an embodiment of the present disclosure.

Fig. 2 is a schematic flowchart of a control method of an extracorporeal charger according to an embodiment of the present application.

Fig. 3 is a schematic flowchart of another control method of an extracorporeal charger according to an embodiment of the present disclosure.

Fig. 4 is a schematic diagram of processing an event by using an event handling function according to an embodiment of the present application.

Fig. 5 is a block diagram of a controller according to an embodiment of the present disclosure.

Fig. 6 is a schematic structural diagram of a program product for implementing the control method according to an embodiment of the present application.

Detailed Description

The present application is further described with reference to the accompanying drawings and the detailed description, and it should be noted that, in the present application, the embodiments or technical features described below may be arbitrarily combined to form a new embodiment without conflict.

In the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a alone, A and B together, and B alone, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a and b, a and c, b and c, a and b and c, wherein a, b and c can be single or multiple. It is to be noted that "at least one item" may also be interpreted as "one or more items".

It is also noted that the terms "exemplary" or "such as" and the like are used herein to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

First, the application field of the present application will be briefly described.

The implanted nerve stimulation system mainly comprises a stimulator implanted in a body and an external program controller in vitro. The existing nerve regulation and control technology is mainly characterized in that an electrode is implanted in a specific structure (namely a target spot) in a body through a three-dimensional operation, and a stimulator implanted in the body of a patient sends electric pulses to the target spot through the electrode to regulate and control the electric activity and the function of a corresponding nerve structure and network, so that symptoms are improved, and pain is relieved. The stimulator may be any one of an Implantable nerve electrical stimulation device, an Implantable cardiac electrical stimulation System (also called a cardiac pacemaker), an Implantable Drug Delivery System (I DDS for short), and a lead switching device. Examples of the implantable neural electrical Stimulation device include Deep Brain Stimulation (DBS), Cortical Brain Stimulation (CNS), Spinal Cord Stimulation (SCS), Sacral Nerve Stimulation (SNS), and Vagal Nerve Stimulation (VNS).

The stimulator may include an IPG (implantable pulse generator) disposed in the patient's body, an extension lead and an electrode lead, and supplies controllable electrical stimulation energy to the body tissue by means of a sealed battery and a circuit, and supplies one or two controllable specific electrical stimulation energies to a specific region of the body tissue through the implanted extension lead and the electrode lead. The extension lead is used in cooperation with the IPG and is used as a transmission medium of the electrical stimulation signal to transmit the electrical stimulation signal generated by the IPG to the electrode lead. The electrode lead releases the electrical stimulation energy to a specific area of the in-vivo tissue through a plurality of electrode contacts according to the electrical stimulation signal generated by the IPG; the implantable medical device is provided with one or more paths of electrode leads on one side or two sides, a plurality of electrode contacts are arranged on the electrode leads, and the electrode contacts can be uniformly arranged or non-uniformly arranged on the circumference of the electrode leads. As an example, the electrode contacts are arranged in an array of 4 rows and 3 columns (12 electrode contacts in total) in the circumferential direction of the electrode lead. The electrode contacts may include stimulation electrode contacts and/or collection electrode contacts. The electrode contact may have a sheet-like shape, an annular shape, a dot-like shape, or the like.

In some possible implementations, the stimulated in vivo tissue may be brain tissue of the patient, and the stimulated site may be a specific site of the brain tissue. The sites stimulated are generally different when the patient's disease type is different, as are the number of stimulation contacts (single or multiple) used, the application of one or more (single or multiple) specific electrical stimulation signals, and stimulation parameter data. The type of disease to which the present application is applicable is not limited, and may be the type of disease to which Deep Brain Stimulation (DBS), Spinal Cord Stimulation (SCS), pelvic stimulation, gastric stimulation, peripheral nerve stimulation, functional electrical stimulation are applicable. Among the types of diseases that DBS may be used for treatment or management include, but are not limited to: convulsive disorders (e.g., epilepsy), pain, migraine, psychiatric disorders (e.g., Major Depressive Disorder (MDD)), manic depression, anxiety, post-traumatic stress disorder, depression, Obsessive Compulsive Disorder (OCD), behavioral disorders, mood disorders, memory disorders, mental state disorders, movement disorders (e.g., essential tremor or parkinson's disease), huntington's disease, alzheimer's disease, drug addiction, autism, or other neurological or psychiatric diseases and injuries.

In this application, when external program controller and stimulator establish programme-controlled connection, can utilize external program controller to adjust the stimulation parameter of the electrical stimulation signal of stimulator, also can be through the bioelectricity activity of stimulator sensing patient deep brain to can continue to adjust the stimulation parameter of the electrical stimulation signal of stimulator through the bioelectricity activity that the sensing arrived.

The extracorporeal programmer may be a physician programmer or a patient programmer.

When the doctor carries out remote program control, the doctor program controller can carry out data interaction with the stimulator through the server and the patient program controller. When the doctor is off-line and the patient is in face-to-face program control, the doctor program controller can perform data interaction with the stimulator through the patient program controller, and the doctor program controller can also perform data interaction with the stimulator directly. The patient programmer may also interact data directly with the stimulator.

Referring to fig. 1, fig. 1 shows a block diagram of a programmable system 100 provided in the present application.

The programmed system 100 includes: the stimulator intelligent monitoring system comprises a stimulator 103 implanted in a patient, an external program controller 101 and an external charger 102, wherein the external charger 102 respectively performs data interaction with the external program controller 101 and the stimulator 103 implanted in the patient, and the external charger 102 is provided with an interaction component.

The extracorporeal charger 102 comprises a controller configured to implement the steps of the control method.

External programmer 101 may include, for example, one or more of a tablet, a laptop, a desktop, a cell phone, and a smart wearable device.

In some alternative embodiments, the external programmer 101 may be integrated with the external charger 102.

The control method will be explained first.

Referring to fig. 2, fig. 2 is a schematic flowchart of a control method of an extracorporeal charger according to an embodiment of the present application.

The external charger is respectively in data interaction with an external program controller and a stimulator implanted in a patient body, and is provided with an interaction assembly;

the method comprises the following steps:

s101: receiving a trigger operation by the interactive component;

s102: responding to the triggering operation, and detecting whether the external program controller and the stimulator are in a program control connection state;

s103: and when the external programmer is in a programmed connection state with the stimulator, controlling the stimulator to stop delivering the electrical stimulation.

Therefore, the external charger is provided with the interaction assembly, the triggering operation of a user can be received through the interaction assembly, the stimulator is not directly stopped from stimulating at the moment, whether the external program controller and the stimulator are in the program control connection state or not is detected, and the stimulator is controlled to stop delivering electrical stimulation only when the external program controller and the stimulator are in the program control connection state.

Under the normal use scene, external program controller can send program control instruction to stimulator through external charger to close the stimulation. However, in view of the consideration of robustness and integrity of the whole program control system, the interaction component is arranged on the external charger, which is helpful for closing the stimulation function of the stimulator in special scenes, for example, the external program controller fails to send a program control command due to a problem, the connection between the external program controller and the external charger is abnormally interrupted, the patient feels uncomfortable under the existing stimulation parameters, and stimulation needs to be interrupted rapidly. At the moment, the external charger can directly send the program control command to the stimulator to stop stimulating and outputting through directly triggering the interaction assembly, so that the risk of failure of the program control system is greatly reduced.

The existing external charger with the program control function serves as a medium for program control connection between an external program controller and a stimulator in the program control process, if the stimulator is to stop stimulating, the external program controller is required to send a program control instruction for stopping stimulating to the charger, and the program control instruction is forwarded to the stimulator through the external charger, so that the stimulator is controlled to stop stimulating.

This application improves current external charger, has add an interactive component on external charger, and the user triggers after the interactive component, detects external program controller and stimulator whether be in programme-controlled connected state, and only when external program controller was in programme-controlled connected state with the stimulator, just control the stimulator and stop delivering the electro photoluminescence.

Therefore, the external charger can be ensured to control the stimulator to stop delivering electrical stimulation only in the program control process (because the stimulation parameters of the stimulator in the program control process can be changed at any time due to the issuing of the program control instruction, if the stimulation parameters in the program control process are unreasonable and the external program controller fails to send the program control instruction to the charger in time, a patient is in a dangerous situation, so that it is necessary to allow the charger to independently control the stimulator to stop stimulating); and the non-program-controlled state is that the triggering interaction component is invalid when the external charger is only used for charging the stimulator, so as to avoid misoperation of a user (in the non-program-controlled state, stimulation parameters of the stimulator are basically not changed, and stimulation does not need to be stopped). In some embodiments, the interaction component may be disposed on an upper cover of a housing of the extracorporeal charger, the interaction component being, for example, a button, a key, a push button, a knob, or the like.

The interactive component is used for emergently closing the stimulation of the stimulator when the external program controller and the stimulator are in a program control connection state, and enabling the stimulation amplitude of the stimulator to return to zero.

When the interactive component is a button or a key, the triggering operation may be an operation of pressing the button or the key, when the interactive component is a knob, the triggering operation may be an operation of rotating the knob, and when the interactive component is a push button, the triggering operation may be an operation of pushing and pulling the push button.

In some embodiments, the extracorporeal charger is configured to charge the stimulator, the extracorporeal charger is provided with a rechargeable battery and a display screen, and the method may further include:

acquiring a state of health score of the rechargeable battery;

and when the health state score is smaller than a preset score threshold value, displaying prompt information by using the display screen.

The prompt message may be one or more of a text message, an image message, and a video message.

The rechargeable battery may be, for example, a lithium battery.

The prompt message may be a text message indicating "please replace the battery in time", for example.

The preset score threshold is not limited in the present application, and may be, for example, 50 points, 80 points, or 90 points, and the higher the score is, the better the health status is.

The external charger can charge for the stimulator, is very important for a patient, can carry out early warning before the battery is scrapped by evaluating the health state of the rechargeable battery of the external charger in real time, avoids the charging failure of the patient due to the problem of the battery in the process of using the external charger, and further ensures the life safety of the patient.

The rechargeable battery of the extracorporeal charger may be a lithium ion battery pack, and in some embodiments, the state of health score of the rechargeable battery of the extracorporeal charger (hereinafter referred to as a battery pack) is obtained as follows:

s1, presetting a battery voltage threshold judgment condition, reading voltage data of each string of batteries of the battery pack, and judging that the battery pack is in an unhealthy state if the read voltage data does not accord with the judgment condition; if the read voltage data meet the judgment condition, carrying out the next step;

s2, S2 may include S21-S24;

s21, reading the data of the last full discharge of the battery pack, including the discharge time t _d And discharge current I _d ，

S22, according to the calculation formula:

calculating the discharge capacity Q of the battery pack in full discharge _d ，

S23, according to the calculation formula: SOH _fd ＝Q _d /Q ₀ SOH of battery pack obtained by multiplying 100% _fd ，Q ₀ Is the initial rated capacity of the battery pack,

s24, if SOH _fd If the current state is less than 80%, the battery pack is judged to be in a non-healthy state; if SOH _fd If the content is more than or equal to 80 percent, carrying out the next step;

s3, reading the current SOC of the battery pack,

if SOC is less than or equal to 50%, three methods of an internal resistance test method, a constant voltage discharge test method and a capacity comparison test method are adoptedRespectively calculating to obtain the SOH values of the battery packs _R 、SOH _VD And SOH _C Then taking the minimum value of the three as the SOH value of the battery pack;

if the SOC is more than 50%, respectively calculating to obtain the SOH value of the battery pack by an internal resistance test method, a constant voltage charging test method and a capacity comparison test method _R 、SOH _VD And SOH _C Then taking the minimum value of the three as the SOH value of the battery pack;

and taking the SOH value of the battery pack as the state of health score of the battery pack.

In some embodiments, the state of health score of a rechargeable battery (hereinafter battery) of the extracorporeal charger is obtained as follows:

carrying out cycle life test on the battery to obtain an open-circuit voltage spectrum;

constructing an open-circuit voltage model and a second-order RC equivalent circuit model based on the RLS;

constructing a state of charge estimation model based on an EKF algorithm;

obtaining a state of charge according to a state of charge estimation model;

setting a state of charge estimation model as a first priority, a second-order RC equivalent circuit model as a second priority and an open-circuit voltage model as a third priority through a configuration estimator;

taking the state of charge obtained by the state of charge estimation model as the input quantity of the open-circuit voltage model and the second-order RC equivalent circuit model, and correcting the parameters of the open-circuit voltage model and the parameters of the second-order RC equivalent circuit model to obtain a corrected open-circuit voltage model and a corrected second-order RC equivalent circuit model;

extracting RC parameters according to the second-order RC equivalent circuit model and the parameters of the open-circuit voltage spectrum and carrying out correlation analysis to obtain key factors;

establishing a battery health state estimation model based on an SVR algorithm by combining an open-circuit voltage spectrum, a charge state, an RC parameter and a key factor;

and acquiring the current charge state of the battery to be detected and inputting the current charge state into a battery health state estimation model to obtain the health state score of the battery. In some embodiments, the extracorporeal charger is further provided with an identity information acquisition component;

the step S101 may include:

acquiring identity information to be verified of a user by using the identity information acquisition component;

and matching the identity information to be verified with each piece of pre-stored verified identity information, and receiving the triggering operation of the user by using the interaction component when the identity information to be verified is successfully matched with one piece of the verified identity information.

Wherein, the identity information acquisition component can comprise one or more of the following components: the device comprises a vein information acquisition component, a face information acquisition component, an iris information acquisition component, a lip print information acquisition component, a retina information acquisition component, a hand shape information acquisition component, a voice information acquisition component and a fingerprint information acquisition component.

Accordingly, the identity information to be verified and the verified identity information may include one or more of: vein information, face information, iris information, lip print information, retina information, hand shape information, voice information, and fingerprint information.

Only when the identity information to be verified of the current user is successfully matched with one verified identity information, namely the identity authentication of the user passes, the interactive component can be successfully triggered.

The user corresponding to the verified identity information may be a patient, a doctor, a family member of the patient, a nurse, or the like who cares the patient.

In a specific application, the identity information acquisition component comprises a vein information acquisition component, and the identity information to be verified and the verified identity information comprise vein information. The vein information may refer to vein information or palm vein information.

Compared with face recognition and fingerprint recognition, the vein recognition precision is higher, and only the living body can perform recognition, so that the condition that face information and fingerprint information are stolen for identity verification in recognition modes such as face recognition and fingerprint recognition is avoided, and only the user actively stretches out a finger or palm for authentication can be recognized, so that the will of the user is fully respected.

In some embodiments, the identity information collection component may be integrated with the interaction component.

In some optional embodiments, the step S101 may include:

and matching the identity information to be verified with each piece of pre-stored verified identity information, and stopping matching and receiving the triggering operation of the interaction component when the identity information to be verified is successfully matched with one piece of verified identity information.

Therefore, the interactive component receives the identity information to be verified, the identity information to be verified is matched with each verified identity information to realize identity authentication, when the identity information to be verified is successfully matched with one verified identity information, the user corresponding to the identity information to be verified passes the identity authentication, and the interactive component can be used for receiving the triggering operation of the user only when the identity authentication passes.

In some optional embodiments, the interaction component comprises a fingerprint identification button and/or a microphone, and the identity information to be verified comprises fingerprint information and/or voice information. Accordingly, the verified identity information may include fingerprint information and/or voice information.

Therefore, the fingerprint identification button can receive fingerprint information of a user to realize fingerprint identification, and the microphone can receive voice information of the user to realize voice identification.

In some embodiments, the interaction component comprises a microphone, the identity information to be verified comprises voice information, and correspondingly, the verified identity information comprises voice information;

when the identity information to be verified is successfully matched with one verified identity information, detecting whether the voice recognition content of the identity information to be verified comprises at least one of the following: "turn off stimulation", "stop stimulation", "control stimulator off", and "stop stimulation";

if yes, detecting whether the external program controller and the stimulator are in a program control connection state;

In some optional embodiments, the step S103 includes:

wherein, the preset event comprises one or more of the following:

an abnormality occurs in the patient's bioelectric signal;

Wherein the program control application unresponsiveness of the in vitro program controller means: and when the external program controller receives the parameter configuration operation of the user, the external program controller cannot generate a corresponding program control command.

Therefore, when trigger operation is received in the program control process, the stimulator is not directly controlled to stop delivering electrical stimulation, whether a preset event occurs or not is detected, whether stimulation stopping is necessary or not is further confirmed (the preset event occurs to indicate that stimulation is required to be stopped, and the preset event does not occur to indicate that stimulation is not necessary to be stopped), the stimulator is controlled to stop delivering electrical stimulation only when the preset event occurs, and the stimulator is not controlled to stop delivering electrical stimulation if the preset event does not occur, so that misoperation of a user is avoided.

The preset charge threshold is not limited in the present application, and may be 5%, 8%, or 10%.

when the predicted similarity is smaller than the first similarity threshold, determining that no abnormality occurs in the bioelectrical signal.

Therefore, the bioelectrical signals of the patient are input into an abnormality detection model, the corresponding predicted similarity of the bioelectrical signals is determined by using the abnormality detection model, wherein the abnormality detection model can call an abnormality database, the abnormality database stores a large number of abnormal bioelectrical signals, specifically, the abnormal bioelectrical signals can be bioelectrical signals corresponding to different patients when the patient is attacked, or can be bioelectrical signals corresponding to the patient when the patient is attacked, when the patient is afflicted with Parkinson's disease, the abnormal bioelectrical signals of the abnormality database can comprise the bioelectrical signals corresponding to the Parkinson's patient when the patient is attacked, the bioelectrical signals of the patient are respectively compared with each abnormal bioelectrical signal in the abnormality database, the highest similarity in the similarities is used as the predicted similarity, and whether the bioelectrical signals of the patient are abnormal is judged by comparing the predicted similarity with a preset similarity threshold value, obviously, the higher the predicted similarity is, the more likely the bioelectrical signal of the patient is to be abnormal and the more likely the patient is to be attacked, the bioelectrical signal of the patient is compared with a plurality of abnormal bioelectrical signals stored in an abnormal database in advance one by one to find out the abnormal bioelectrical signal with the highest similarity, and the accuracy of the abnormal detection result is further improved.

In some embodiments, the bioelectric signals of the patient may be acquired using a bioelectric acquisition device.

The bioelectricity collecting device is not limited in the present application, and may include any one or more of the following: electroencephalogram acquisition equipment (such as an electrode cap, a cortical electrode, an intracranial electrode and the like), electrocardiogram acquisition equipment, electrooculogram acquisition equipment and myoelectricity acquisition equipment. Accordingly, the bioelectrical signal of the patient may comprise any one or more of: electroencephalogram signals, electrocardiosignals, electro-oculogram signals, and myoelectricity signals.

In one particular application, the bioelectric collection device may be a stimulator implanted in the patient whose bioelectric signals may include brain electrical signals, the stimulator having both the functions of sensing brain electrical signals and delivering electrical stimulation.

The predicted similarity may be expressed as a number or a percentage, and when expressed numerically, the predicted similarity is, for example, 60, 80, or 90; when expressed as a percentage, the predicted similarity is, for example, 60%, 80%, or 90%, and the higher the value, the higher the predicted similarity.

The first similarity threshold is not limited in this application and may be 70%, 80%, or 90%.

The training process of the anomaly detection model may include:

acquiring a second training set, wherein the second training set comprises a plurality of second training data, and each second training data comprises a first sample signal and a second sample signal used for training and marking data of the similarity of the first sample signal and the second sample signal;

for each second training data in the second training set, performing the following:

inputting a first sample signal and a second sample signal in the second training data into a preset second deep learning model respectively to obtain prediction data of the similarity of the first sample signal and the second sample signal;

updating model parameters of the second deep learning model based on prediction data and annotation data of the similarity of the first sample signal and the second sample signal;

detecting whether a preset second training end condition is met or not; if yes, taking the trained second deep learning model as the abnormality detection model; and if not, continuing to train the first deep learning model by utilizing the next second training data.

The preset second training end condition is not limited in the present application, and may be, for example, that the training frequency reaches the preset frequency (the preset frequency is, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), or may be that the training data in the second training set all complete one or more times of training, or may be that the total loss value obtained by the current training is not greater than the preset loss value.

the reference configuration information is obtained as follows:

wherein the training process of the reference configuration model comprises:

Therefore, through design, a proper amount of neuron calculation nodes and a multilayer operation hierarchical structure are established, a proper input layer and a proper output layer are selected, a preset first deep learning model can be obtained, a function relation from input to output is established through learning and tuning of the preset first deep learning model, although the function relation between input and output cannot be found 100%, the function relation can be close to a real association relation as far as possible, the reference configuration model obtained through training can obtain reference configuration information corresponding to a stimulator based on disease information of a patient, and the accuracy and the reliability of a calculation result are high.

Wejian et al published in a periodical "Cable television technology" published in 2017, 07, 15, published under the name of "deep learning neural network technology-based digital television monitoring platform alarm model", which discloses the following:

deep learning is one of machine learning, and machine learning is a must-pass path for implementing artificial intelligence. The concept of deep learning is derived from the research of artificial neural networks, and a multi-layer perceptron comprising a plurality of hidden layers is a deep learning structure. Deep learning forms a more abstract class or feature of high-level representation properties by combining low-level features to discover a distributed feature representation of the data. The motivation for studying deep learning is to build neural networks that simulate the human brain for analytical learning, which mimics the mechanism of the human brain to interpret data such as images, sounds, text, and the like.

The computation involved in producing an output from an input can be represented by a flow graph (flow graph): a flow graph is a graph that can represent a computation, where each node represents a basic computation and a computed value, and the results of the computation are applied to the values of the children of that node. Consider a set of computations that can be allowed to operate on every node and the entire possible graph structure and that defines a family of functions with input nodes without parents and output nodes without children.

One particular attribute of such a flow graph is depth (depth): the length of the longest path from one input to one output.

A conventional feed-forward neural network can be viewed as having a shallow number of layers in depth (e.g., a number of hidden layers plus 1 for the output layers). The SVM (support vector machine) depth is 2 (one corresponds to kernel input person or feature space and the other to linear mixture of the generated outputs).

The essence of deep learning is to learn more useful features by constructing a machine learning model with many hidden layers and massive training data, thereby improving the accuracy of classification or prediction. Thus, "depth model" is a means and "feature learning" is a goal. Different from the traditional shallow learning, the deep learning is different in that:

(1) emphasizes the depth of the model structure, and usually has hidden layer nodes of 5 layers, 6 layers and even 10 layers;

(2) the importance of feature learning is clarified. That is, the feature representation of the sample in the original space is transformed to a new feature space by layer-by-layer feature transformation, thereby making classification or prediction easier. Compared with a method for constructing the features by artificial rules, the method for constructing the features by utilizing the big data to learn the features can depict the internal information rich in data.

A proper amount of neuron calculation nodes and a multilayer operation hierarchical structure are established through design, a proper input layer and a proper output layer are selected, a functional relation from input to output is established through learning and tuning of a network, and although the functional relation between the input and the output cannot be found 100%, the functional relation can be as close to a real association relation as possible. The network model which is successfully trained is used, so that the automation requirement of the complex transaction processing can be met. The disease information of the patient comprises one or more of basic information, medical history information, medical image information, pre-recorded video information and real-time video information of the patient;

wherein the basic information of the patient may for example comprise one or more of gender, height, weight, age; the medical history information of the patient may include one or more of chief complaint information, present medical history information, past history information, and family genetic history information; the medical image information of the patient may include one or more of X-ray information, CT information, and MR information, PET-CT information, PET-MR information. Among them, ct (computed tomography) is computed tomography, mr (magnetic resonance) is magnetic resonance, and pet (positron Emission tomography) is positron Emission tomography.

In some embodiments, both the actual configuration information of the external programmer and the reference configuration information of the patient are used to indicate stimulation parameters of the stimulator.

The stimulation parameters of the stimulator may include at least one of: frequency (e.g., number of electrical stimulation pulse signals per unit time of 1s in Hz), pulse width (duration of each pulse in μ s), amplitude (typically expressed in terms of voltage, i.e., intensity of each pulse in V), stimulation pattern (including one or more of current pattern, voltage pattern, timed stimulation pattern, and cyclic stimulation pattern), physician-controlled upper and lower limits (physician-adjustable range), and patient-controlled upper and lower limits (patient-independently adjustable range).

In a particular application, the stimulation parameters of the stimulator may be adjusted in either current mode or voltage mode.

Wherein the stimulation parameter identification can be represented using at least one of Chinese, letters, numbers, symbols, and special symbols. Such as "a 01", "amplitude", or "# 01".

When the external programmer is a physician programmer, the actual configuration information of the external programmer is information corresponding to stimulation parameters of the stimulator set by the physician using the physician programmer, for example, "the stimulation mode is a voltage mode, the frequency is 130Hz, the pulse width is 60 mus, and the amplitude is 3V".

Accordingly, when the external programmer is a patient programmer, the actual configuration information of the external programmer is information corresponding to the stimulation parameters of the stimulator set by the patient using the patient programmer, such as "stimulation mode is voltage mode, frequency is 90Hz, pulse width is 50 μ s, and amplitude is 4V".

The reference configuration information may be preset or may be automatically generated by an artificial intelligence algorithm according to the patient's condition.

The second similarity threshold is not limited in this application and may be 70%, 80%, or 90%.

Referring to fig. 3, fig. 3 is a schematic flowchart of another control method of an extracorporeal charger according to an embodiment of the present application.

In some optional embodiments, the extracorporeal charger further comprises an alarm component, and the method may further comprise:

step S104: receiving feedback information from the stimulator, the feedback information indicating whether the stimulator stopped delivering electrical stimulation;

step S105: and based on the feedback information, controlling the warning state of the warning component so that the warning component presents different warning states when the feedback information is different.

From this, through setting up the alarm subassembly, can control the warning state of alarm subassembly to make the alarm subassembly present different warning states according to different feedback information, like this, whether the stimulator stops successfully to deliver the warning state that the electro photoluminescence can directly pass through the alarm subassembly and learn, make the patient in time know the stimulation and have or not to stop, alleviate patient's psychological burden.

In some embodiments, the method may further comprise:

when the feedback information indicates that the stimulator stops delivering electrical stimulation, generating a signal acquisition instruction and sending the signal acquisition instruction to the stimulator;

receiving the electroencephalogram signals of the patient collected by the stimulator;

updating model parameters of the reference configuration model based on the patient electroencephalographic signal.

In the program control process, because the stimulation parameters set by the external program controller are not appropriate, the stimulation of the stimulator needs to be stopped urgently, after the stimulation is stopped, the stimulator can be used for collecting the electroencephalogram signals of the patient at the moment, the stimulation parameters are readjusted according to the electroencephalogram signals, specifically, the model parameters of the reference configuration model can be updated, and the reference configuration information output by the reference configuration model is more suitable for the current state of the patient.

The electroencephalogram signals of the patient can be fed back to the tablet personal computer, the mobile phone and other equipment of the doctor, and the doctor can know the state of the patient at the moment.

Thus, the alert component may include a display light, and the alert status may include an on/off status, a color, a brightness, a flashing frequency, etc., such that turning on or off the display light may be used to indicate whether the stimulator has stopped delivering electrical stimulation, or different colors of light emission of the display light may be used to indicate whether the stimulator has stopped delivering electrical stimulation, or different brightness of light emission of the display light may be used to indicate whether the stimulator has stopped delivering electrical stimulation, or different flashing frequencies of the display light may be used to indicate whether the stimulator has stopped delivering electrical stimulation.

In one specific application, the alarm assembly comprises a display lamp, and the warning state comprises color and brightness;

when the feedback information indicates that the stimulator stops delivering electrical stimulation, the color of the display lamp is controlled to be blue, and the brightness is controlled to be first brightness;

and when the feedback information indicates that the stimulator does not stop delivering the electric stimulation, the color of the display lamp is controlled to be red, and the brightness is controlled to be a second brightness which is higher than the first brightness.

In some embodiments, the alert assembly includes a display screen, the feedback information indicating that the stimulator stopped delivering electrical stimulation, the display screen being controlled to display a first prompt;

and when the feedback information indicates that the stimulator does not stop delivering the electric stimulation, controlling the display screen to display second prompt information.

The first prompt message and the second prompt message can be in one or more of text message, image message and video message.

For example, the first prompt message may be a text message "the stimulator has stopped stimulating", and the second prompt message may be a text message "the stimulator has not stopped stimulating".

In some embodiments, the alarm component comprises a buzzer, and the alert state comprises one or more of a sound state, a sounding tone, and a sounding frequency.

When the feedback information indicates that the stimulator stops delivering the electrical stimulation, controlling the buzzer not to sound;

and when the feedback information indicates that the stimulator does not stop delivering the electric stimulation, controlling the buzzer to sound.

Therefore, the external charger and the external program controller can perform data interaction in a Bluetooth communication mode, the power consumption of the Bluetooth communication mode is low, and the coverage area is large; the external charger and the stimulator can perform data interaction in a radio frequency communication mode, the communication frequency band of the radio frequency communication mode is wide, the amount of transmittable information is large, and the data transmission speed and the signal processing speed are high.

In some embodiments, the extracorporeal charger may perform data interaction with the stimulator through the 401MHz-433MHz operating band or the 2.4GHz-2.5GHz operating band.

In a specific application, the external charger may perform data interaction with the stimulator through the 433MHz working frequency band or the 2.4GHz working frequency band.

Therefore, the external charger is suitable for patients with different disease types, and has a wide application range.

In some optional embodiments, the method may further comprise:

and processing the events in the event queue according to the priorities of the events by using an event processing function, wherein the priority of the stimulation stopping event is the highest priority.

Therefore, the priority of the stimulation stopping event corresponding to the triggering operation is set to be the highest priority, in this way, the stimulation stopping event can be processed preferentially by the event processing function, the response speed of the triggering operation is improved, the emergency stop function can be realized in a short time, and the life safety of a patient is further guaranteed.

The event handling function is not limited in the present application.

In some embodiments, the issued event may be analyzed through an event bus, an event parameter is obtained, and a pre-classified set of event handling functions corresponding to the event is obtained according to the event parameter.

In some embodiments, a specific event and a specific event handling function corresponding to the specific event may be registered in a specific event list, and a plurality of work processes managed by a single thread may be started. Wherein, the stopping stimulation event corresponding to the triggering operation can be used as a specific event.

In some embodiments, registration of events and event handling functions may be monitored, priority provided, and remote invocation patterns. The specific implementation mode is as follows: and adding the registered monitoring event into an event processing function linked list of the process, adding the registered monitoring event into an information queue, reading the registered event in the information queue in the core process of the event, adding the registered event into an event management linked list, and setting a relevant working mode of the event.

Referring to fig. 4, fig. 4 is a schematic diagram of processing an event by using an event handling function according to an embodiment of the present application.

In a specific application, various events in the program control system can be monitored in real time by using an event processing function, wherein a stimulation stopping event triggered by an interactive component has the highest priority, the interactive component can be a key for example, when the key is pressed, falling edge external interruption or rising edge external interruption is generated, the key is added into an event queue after anti-shake measures, the stimulation stopping event is processed by the event processing function preferentially, and the external charger sends a corresponding instruction to the stimulator in a radio frequency communication mode, so that the stimulator is controlled to stop delivering electrical stimulation.

The application also provides an external charger, the external charger respectively performs data interaction with an external program controller and a stimulator implanted in a patient body, and the external charger is provided with an interaction assembly;

the in-vitro charger comprises a controller, the specific implementation mode of the controller is consistent with the implementation mode and the achieved technical effect recorded in the implementation mode of the method, and part of the content is not described in detail.

The controller is configured to:

receiving a trigger operation by the interactive component;

when the external program controller and the stimulator are in a program control connection state, detecting whether a preset event occurs or not, and when the preset event occurs, controlling the stimulator to stop delivering electrical stimulation;

wherein, the preset event comprises one or more of the following:

an abnormality occurs in the patient's bioelectric signal;

the reference configuration information is obtained as follows:

wherein the training process of the reference configuration model comprises:

Referring to fig. 5, fig. 5 is a block diagram of a controller 200 according to an embodiment of the present disclosure.

The controller 200 may include, for example, at least one memory 210, at least one processor 220, and a bus 230 connecting the different platform systems.

The memory 210 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)211 and/or cache memory 212, and may further include Read Only Memory (ROM) 213.

The memory 210 further stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 implements the functions of any one of the controllers, and the specific implementation manner of the controller is consistent with the implementation manner and the achieved technical effects described in the method implementation manner, and some contents are not described again.

Memory 210 may also include a utility 214 having at least one program module 215, such program modules 215 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Accordingly, the processor 220 can execute the computer programs described above, and can execute the utility 214.

The processor 220 may employ one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field-Programmable Gate arrays (FPGAs), or other electronic components.

Bus 230 may be one or more of any of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a local bus using any of a variety of bus architectures.

The controller 200 may also communicate with one or more external devices 240, such as a keyboard, pointing device, bluetooth device, etc., and may also communicate with one or more devices capable of interacting with the controller 200, and/or with any devices (e.g., routers, modems, etc.) that enable the controller 200 to communicate with one or more other computing devices. Such communication may be through input-output interface 250. Also, the controller 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the controller 200 via the bus 230. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the controller 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, to name a few.

The present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the functions of any one of the controllers or implements the steps of the control method, where a specific implementation manner of the computer program is consistent with the implementation manner and the achieved technical effects described in the implementation manner of the controller, and some contents are not described again.

Referring to fig. 6, fig. 6 shows a schematic structural diagram of a program product for implementing the control method provided in the present application. The program product may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this respect, and in this application, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

A computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that can communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the C language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

While the present application is described in terms of various aspects, features, and advantages, it is to be understood that such aspects are merely illustrative of and not restrictive on the broad application, and that all changes and modifications that come within the spirit and scope of the appended claims are desired to be protected by the following claims.

Claims

1. An external charger is characterized in that the external charger performs data interaction with an external program controller and a stimulator implanted in a patient body respectively, and the external charger is provided with an interaction assembly;

the extracorporeal charger includes a controller configured to:

receiving a trigger operation by the interactive component;

2. The extracorporeal charger of claim 1, wherein the controller stores one or more pieces of authenticated identity information, and wherein the controller is configured to receive the trigger operation by:

3. The extracorporeal charger of claim 2, wherein the interaction component comprises a fingerprint recognition button and/or a microphone, and the identity information to be verified comprises fingerprint information and/or voice information.

4. The extracorporeal charger of claim 1, wherein the controller is configured to control the stimulator to stop delivering electrical stimulation in a manner that:

wherein, the preset event comprises one or more of the following:

an abnormality occurs in the patient's bioelectric signal;

5. The extracorporeal charger of claim 4, wherein the preset event comprises an abnormality of the bioelectrical signal of the patient, and the process of detecting whether the bioelectrical signal of the patient is abnormal is as follows:

6. The extracorporeal charger of claim 4, wherein the preset event comprises a similarity of actual configuration information of the extracorporeal programmer to reference configuration information of the patient being no greater than a second similarity threshold;

the reference configuration information is obtained as follows:

wherein the training process of the reference configuration model comprises:

7. The extracorporeal charger of claim 1, wherein the extracorporeal charger further comprises an alarm component, the controller further configured to:

8. The extracorporeal charger of claim 7, wherein the alarm assembly comprises a display light and the alert state comprises one or more of an on-off state, a color, a brightness, and a flashing frequency.

9. The extracorporeal charger of claim 1, wherein the extracorporeal charger and the extracorporeal programmer perform data interaction by means of bluetooth communication, and the extracorporeal charger performs data interaction with the stimulator by means of radio frequency communication.

10. The extracorporeal charger of claim 1, wherein the patient's disease type comprises one or more of epilepsy, tremor, parkinson's disease, depression, obsessive compulsive disorder, alzheimer's disease, and drug addiction.

11. The extracorporeal charger of claim 1, wherein the controller stores an event handling function, the controller further configured to:

12. A programmed system comprising a stimulator implanted in a patient, an extracorporeal programmer and an extracorporeal charger according to any of claims 1-11.

13. The programming system according to claim 12, wherein the external programmer is integrated with the external charger.

14. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the functionality of the controller of any one of claims 1-11.