WO2023071378A1

WO2023071378A1 - Implantable nerve stimulator and implantable nerve stimulation system

Info

Publication number: WO2023071378A1
Application number: PCT/CN2022/110913
Authority: WO
Inventors: 周国新; 唐建东
Original assignee: 苏州景昱医疗器械有限公司
Priority date: 2021-10-26
Filing date: 2022-08-08
Publication date: 2023-05-04
Also published as: CN113856040A

Abstract

An implantable nerve stimulator and an implantable nerve stimulation system. A controller (104) of the implantable nerve stimulator is configured to: sense the potentials of two electrodes (101) corresponding to a recommended electrode (101) combination in real time, and calculate a real-time voltage; obtain a real-time feature signal at the current time corresponding to the recommended electrode (101) combination, and input the real-time feature signal at the current time corresponding to the recommended electrode (101) combination and a real-time feature signal at a previous time into a similarity detection model, so as to obtain a similarity; and when the similarity is not greater than a preset similarity, obtain parameter configuration information, and control the electrodes (101) to deliver therapy. A real-time state type is only obtained after a feature signal is changed, and thus, the operation resource is saved, and the running speeds of processes corresponding to the remaining functions of the implantable nerve stimulation system are improved.

Description

Implantable neurostimulators and implantable neurostimulation systems

This application claims the priority of the Chinese patent with application number 202111246300.4 filed on October 26, 2021, which is incorporated by reference in its entirety.

technical field

The present application relates to the technical field of implantable neurostimulators, in particular to implanted neurostimulators and implanted neurostimulator systems.

Background technique

Implantable neurostimulation systems mainly include stimulators implanted in the body, electrodes and program-controlled equipment outside the body. The existing neuromodulation technology mainly uses stereotaxic surgery to implant electrodes in specific structures (i.e., targets) in the body, and the stimulator implanted in the patient sends electrical pulses to the targets through the electrodes to regulate the corresponding neural structures and networks. Electrical activity and its function, thereby improving symptoms and relieving pain.

After receiving neuromodulation by doctors in the hospital, the patient needs to fine-tune the parameters of the stimulator in the patient's body as the environment changes or changes in his own state after returning home, such as changes in his own state caused by taking medicine, exercising, sleeping and other behaviors. achieve the best stimulating effect.

Usually, the existing parameter adjustment method is to set a stimulation parameter range by the doctor and adjust it by the patient himself. This adjustment method is a passive and very inaccurate adjustment method, and the actual effect is not ideal. There is also a method of allowing the device to automatically switch parameters according to the time-varying stimulation parameter set set by the doctor. This method also cannot accurately match the patient's state, and the stimulation effect is poor.

Chinese invention patent CN113244533A discloses a parameter adjustment method, device, electronic equipment, and computer-readable storage medium. The method includes: using a program-controlled device installed outside the patient's body to receive a marking operation, and using a stimulator to collect the brain of the patient in response to the marking operation. Electric signal; associate and store the patient's EEG signal and state type into the first data set; use the first data set to train the first deep learning model to obtain a state classification model; use the stimulator to collect the patient's real-time EEG signal; convert the real-time The EEG signal is input to the state classification model to obtain the real-time state type corresponding to the real-time EEG signal; obtain the parameter configuration information corresponding to the real-time state type; use the program-controlled equipment to adjust the parameters of the stimulator so that the stimulator can apply corresponding electrical stimulation to the patient. The method can apply timely and accurate electrical stimulation to the patient, and the stimulation effect is good.

However, in the above prior art, it is necessary to analyze and calculate the real-time EEG signal in real time, so as to obtain the real-time state type corresponding to the EEG signal in real time, and the state classification model runs and calculates in real time, resulting in a large amount of calculation and taking up valuable calculation resources, slowing down processes for the rest of the Implantable Neurostimulation System's functionality.

Contents of the invention

The purpose of this application is to provide an implantable neurostimulator and an implanted neurostimulation system, which solves the problem that the implanted neurostimulation system has a large amount of computation when adjusting parameters in the prior art, takes up valuable computing resources, and reduces the The problem of the running speed of the processes corresponding to the remaining functions of the implantable neurostimulation system.

The purpose of this application adopts following technical scheme to realize:

In a first aspect, the present application provides a method for adjusting parameters of an implantable neurostimulator, which is applied to an implanted neurostimulator, and the implanted neurostimulator includes: a plurality of electrodes, and the plurality of electrodes can be positioned within the brain of a patient to deliver therapy to the patient or to sense electrical activity; therapy delivery circuitry operably coupled to the plurality of electrodes to deliver therapy to the patient; sensing circuitry, the sensing circuit is operatively coupled to the plurality of electrodes to sense electrical activity; a controller comprising a processing circuit operably coupled to the therapy delivery circuit and the sensing circuit The system; the method includes: through the sensing circuit, real-time sensing the potential of two electrodes corresponding to the recommended electrode combination, the recommended electrode combination includes two of the plurality of electrodes, based on the potential of the recommended electrode combination corresponding to the potentials of the two electrodes, and calculate the real-time voltage between the two electrodes corresponding to the recommended electrode combination; based on the real-time voltage between the two electrodes corresponding to the recommended electrode combination from the preset moment to the current moment, obtain the real-time voltage between the two electrodes corresponding to the recommended electrode combination The real-time feature signal at the current moment corresponding to the recommended electrode combination, the preset time is before the current moment, and the real-time feature signal at the current moment corresponding to the recommended electrode combination and the real-time feature signal at the previous moment are input into the similarity A detection model to obtain the similarity between the real-time characteristic signal at the current moment corresponding to the recommended electrode combination and the real-time characteristic signal at the previous moment, the similarity detection model is obtained by pre-training, when the recommended electrode combination corresponds to When the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment is not greater than the preset similarity, input the real-time characteristic signal at the current moment corresponding to the recommended electrode combination into the state classification model to obtain the The real-time state type of the patient, the state classification model is pre-trained, parameter configuration information is obtained based on the real-time state type of the patient, and the multiple therapy delivery circuits are controlled based on the parameter configuration information. One or more of the electrodes deliver therapy to the patient.

The beneficial effect of this technical solution is that the potential of the electrode corresponding to the recommended electrode combination is used to obtain the voltage between the two electrodes, and then the real-time characteristic signal is obtained according to the voltage, and the similarity between the real-time characteristic signal and the previous moment is detected, only When the similarity is not greater than the preset similarity (meaning that the real-time characteristic signal at the current moment is different from the real-time characteristic signal at the previous moment), the real-time characteristic signal at the current moment will be classified to obtain the real-time state type, and according to the The real-time state type obtains parameter configuration information to control the electrode to deliver treatment to the patient; compared with the real-time state type, the real-time obtainment of similarity requires less calculation, saves computing resources, and improves the performance of other functions of the implantable neurostimulation system. The running speed of the corresponding process.

In a possible implementation manner, the method further includes: sensing the potentials of the plurality of electrodes through the sensing circuit; calculating any two of the potentials based on the sensed potentials of the plurality of electrodes The difference between the potentials of the electrodes is used to obtain the voltage between any two electrodes; based on the voltage between any two electrodes within a preset time range, the corresponding electrode combination formed by the two electrodes is obtained. Characteristic signal: Based on one or more of the signal strength, pulse width and similarity between the characteristic signal and the expected signal of the characteristic signal corresponding to each electrode combination, obtain the score corresponding to each electrode combination; based on all electrode combinations Corresponding to the score, the electrode combination with the highest score is used as the recommended electrode combination.

The beneficial effect of this technical solution is to provide a method for obtaining recommended electrode combinations, based on the voltage between any two electrodes within a preset time range, to obtain a characteristic signal, and then based on one or more of a plurality of characteristic signals Scores are calculated for features, and the one with the highest score is used as the recommended electrode combination. The obtained recommended electrode combination can reflect the real state of the patient to the greatest extent, making the parameter adjustment based on the recommended electrode combination more accurate.

In a possible implementation manner, the acquiring parameter configuration information based on the real-time state type of the patient includes: inputting the real-time state type of the patient into a parameter configuration model to obtain parameter configuration information corresponding to the real-time state type , the parameter configuration model is pre-trained; or the real-time state type of the patient is sent to the program-controlled device, so that the program-controlled device sends the real-time state type to the user equipment corresponding to the patient, and receives the The parameter configuration information sent by the program-controlled device, the parameter configuration information is obtained through manual configuration.

The beneficial effect of this technical solution is that, using the parameter configuration model to obtain parameter configuration information based on real-time state types can quickly and automatically obtain parameter configuration information, respond to changes in patient status in a timely manner, and improve the effect of delivering treatment to patients; or, using Manual configuration obtains parameter configuration information based on real-time status types, and the obtained parameter configuration information is accurate, and can flexibly adjust parameters for specific patients, which helps to improve treatment effects.

In a possible implementation manner, the acquisition of the user equipment corresponding to the patient includes the following steps: based on the real-time status type of the patient, querying the real-time communication level corresponding to the real-time status type, wherein, for the patient , each communication level corresponds to one or more user equipment, and the user equipment corresponding to each communication level is manually configured, and the real-time communication level is one of the communication levels; obtain the patient's corresponding User equipment at said real-time communication level.

The beneficial effect of this technical solution is that, based on the real-time state type, the real-time communication level corresponding to the state type is determined, and the user equipment corresponding to the patient is obtained based on the real-time communication level, and different user equipment can be obtained for different real-time state types of the patient. , so that when the patient is in a different state, the corresponding personnel can know the state of the patient in time.

In a possible implementation manner, the controlling one or more of the plurality of electrodes to deliver therapy to the patient through the therapy delivery circuit based on the parameter configuration information includes: based on the parameter configuration information, and through the therapy delivery circuit, control the two electrodes corresponding to the recommended electrode combination to deliver therapy to the patient.

The beneficial effect of this technical solution is that the treatment is delivered based on the electrodes corresponding to the recommended electrode combination based on the parameter configuration information. Since the parameter configuration information is obtained based on the recommended electrode combination, it will be more accurate to deliver treatment based on the electrodes corresponding to the recommended electrode combination .

In a possible implementation manner, the method further includes: when the similarity between the real-time characteristic signal at the current moment corresponding to the recommended electrode combination and the real-time characteristic signal at the previous moment is not greater than the preset similarity, It is determined that the patient has a state change, and the real-time characteristic signal at the current moment corresponding to the recommended electrode combination is recorded.

The beneficial effect of this technical solution is that using the similarity to determine the change of the patient's state and recording the current moment and its corresponding real-time characteristic signal can make the change of the patient's state and the corresponding real-time characteristic signal traceable, and help medical staff to Patient status for follow-up visits and/or research.

In a possible implementation manner, the method further includes: sending the real-time status type of the patient to a program-controlled device, so that the program-controlled device sends a message containing the real-time status type to the user equipment corresponding to the patient. State change prompt information; use the program-controlled device to receive the confirmation operation or modification operation on the real-time state type sent by the user equipment corresponding to the patient, confirm or modify the real-time state type, and then compare the real-time state type and The real-time characteristic signal corresponding to the recommended electrode combination is associated and stored as training data for updating the state classification model.

The beneficial effect of the technical solution is that the state change prompt information is sent to the user equipment, and the confirmation or modification operation of the user is received, and the confirmed or modified real-time state type and the real-time characteristic signal are associated and stored to update the state classification model, The recognition accuracy of the state classification model can be further optimized by manually confirming and modifying the real-time state classification, thereby finally improving the accuracy of parameter adjustment.

In a possible implementation manner, the method further includes: controlling one or more of the plurality of electrodes to deliver therapy to the patient through the therapy delivery circuit; The sensing circuit senses the potentials of the plurality of electrodes.

The beneficial effect of this technical solution is that during the process of delivering treatment, sensing the potential of multiple electrodes can reflect the change of the patient's state during the treatment process, and the parameter adjustment can reflect the impact of the treatment on the patient's state, which is convenient for medical treatment. Personnel adjustment and research.

In a second aspect, the present application provides an implantable neurostimulator, comprising: a plurality of electrodes capable of being positioned in the brain of a patient to deliver therapy or sense electrical activity to the patient; a therapy delivery circuit, the therapy delivery circuit operably coupled to the plurality of electrodes to deliver therapy to the patient; a sensing circuit operatively coupled to the plurality of electrodes to sense electrical activity; a controller comprising processing circuitry operatively coupled to the therapy delivery circuit and the sensing circuit, the controller configured to sense, in real time, a recommended electrode via the sensing circuit Combine the potentials of the corresponding two electrodes, the recommended electrode combination includes two of the plurality of electrodes, and calculate the two electrodes corresponding to the recommended electrode combination based on the potentials of the two electrodes corresponding to the recommended electrode combination based on the real-time voltage between the two electrodes corresponding to the recommended electrode combination from the preset moment to the current moment, obtain the real-time characteristic signal corresponding to the recommended electrode combination at the current moment, the preset The time is before the current time, input the real-time feature signal at the current time corresponding to the recommended electrode combination and the real-time feature signal at the previous time into the similarity detection model, and obtain the real-time feature signal at the current time corresponding to the recommended electrode combination The similarity between the real-time characteristic signal and the previous moment, the similarity detection model is pre-trained, when the recommended electrode combination corresponds to the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment When the similarity is not greater than the preset similarity, the real-time characteristic signal corresponding to the recommended electrode combination at the current moment is input into the state classification model to obtain the real-time state type of the patient. The state classification model is obtained by pre-training, Based on the real-time status type of the patient, parameter configuration information is obtained, and based on the parameter configuration information, one or more of the plurality of electrodes is controlled to deliver therapy to the patient through the therapy delivery circuit.

In a possible implementation manner, the controller is further configured to obtain the recommended electrode combination in the following manner: through the sensing circuit, sensing the potentials of the plurality of electrodes; The potentials of the plurality of electrodes are calculated, and the difference between the potentials of any two electrodes is calculated to obtain the voltage between the two electrodes; based on the voltage between the two electrodes within the preset time range, the obtained The characteristic signal corresponding to the electrode combination formed by any two electrodes; based on one or more of the signal strength, pulse width and similarity between the characteristic signal and the expected signal of the characteristic signal corresponding to each electrode combination, obtain The score corresponding to each electrode combination; based on the scores corresponding to all electrode combinations, the electrode combination with the highest score is used as the recommended electrode combination.

In a possible implementation manner, the controller is further configured to obtain the parameter configuration information in the following manner: input the real-time state type of the patient into the parameter configuration model to obtain the parameter configuration corresponding to the real-time state type information, the parameter configuration model is pre-trained; or

Sending the real-time state type of the patient to the program-controlled device, so that the program-controlled device sends the real-time state type to the user equipment corresponding to the patient, and receives parameter configuration information sent by the program-controlled device, the parameter configuration information It is manually configured.

In a possible implementation manner, the controller is further configured to obtain the user equipment corresponding to the patient in the following manner: based on the real-time status type of the patient, query the real-time communication level corresponding to the real-time status type , wherein, for the patient, each communication level corresponds to one or more user equipment, and the user equipment corresponding to each communication level is manually configured, and the real-time communication level is one of the communication levels ; Obtain the user equipment corresponding to the patient at the real-time communication level.

In a possible implementation manner, the controller is further configured to deliver treatment to the patient in the following manner: based on the parameter configuration information, through the treatment delivery circuit, control the two electrodes corresponding to the recommended electrode combination electrodes to deliver therapy to the patient.

In a possible implementation manner, the controller is further configured to: when the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is not greater than the preset similarity When the degree is higher, it is determined that the patient has a state change, and the real-time characteristic signal at the current moment corresponding to the recommended electrode combination is recorded.

In a possible implementation manner, the controller is further configured to: send the real-time status type of the patient to the program-controlled device, so that the program-controlled device sends the real-time State change prompt information of the state type; use the program-controlled device to receive the confirmation operation or modification operation for the real-time state type sent by the user equipment corresponding to the patient, confirm or modify the real-time state type, and then update the real-time state type The state type and the real-time characteristic signal corresponding to the recommended electrode combination are associated and stored as training data for updating the state classification model.

In a possible implementation manner, the controller is further configured to: control one or more of the plurality of electrodes to deliver therapy to the patient through the therapy delivery circuit; , sensing potentials of the plurality of electrodes through the sensing circuit.

In a third aspect, the present application provides an implantable neurostimulator system, including a program-controlled device and any one of the above-mentioned implanted neurostimulators.

In a possible implementation manner, the program-controlled device is provided with a touch display screen.

The touch screen can facilitate the operation of the program-controlled equipment by the patient.

The above description is only an overview of the technical solutions of the present application. In order to enable those skilled in the art to understand the technical means of the present application more clearly and implement them according to the contents of the description, the preferred embodiments of the present application are used in conjunction with the detailed description below. The accompanying drawings are as follows.

Description of drawings

The application will be further described below in conjunction with the accompanying drawings and embodiments.

Fig. 1 is a brief flow diagram of a parameter adjustment method in the prior art;

FIG. 2 is a schematic flowchart of a parameter adjustment method provided in the embodiment of the present application;

FIG. 3 is a schematic flowchart of a parameter adjustment method provided in an embodiment of the present application;

Fig. 4 is a partial flowchart of another parameter adjustment method provided by the embodiment of the present application;

FIG. 5 is a schematic flow diagram of obtaining parameter configuration information provided by an embodiment of the present application;

FIG. 6 is a schematic flow diagram of obtaining a user equipment corresponding to a patient provided by an embodiment of the present application;

Fig. 7 is a partial flowchart of another parameter adjustment method provided by the embodiment of the present application;

FIG. 8 is a partial flowchart of another parameter adjustment method provided by the embodiment of the present application;

FIG. 9 is a partial flowchart of another parameter adjustment method provided by the embodiment of the present application;

Fig. 10 is a schematic structural diagram of an implantable neurostimulator provided in an embodiment of the present application;

Fig. 11 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 12 is a schematic structural diagram of a program product for implementing a parameter adjustment method provided by an embodiment of the present application.

Detailed ways

Below, the present application will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, on the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form a new embodiment. .

In this application, "at least one" means one or more, and "multiple" means two or more. "And/or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. The character "/" generally indicates that the contextual objects are an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b or c can represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be It can be single or multiple. It should be noted that "at least one item (item)" can also be interpreted as "one item (item) or multiple items (item)".

In this application, words such as "exemplary" or "for example" are used to mean an example, illustration or description. Any embodiment or design described herein as "exemplary" or "for example" is not to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner.

In the following, one of the application fields (namely, implantable neurostimulator) of the embodiment of the present application will be briefly described first.

An implantable neurostimulator system (an implanted medical system) mainly includes a stimulator implanted in a patient (ie, an implanted neurostimulator) and a program-controlled device placed outside the patient's body. The existing neuromodulation technology mainly uses stereotaxic surgery to implant electrodes in specific structures (i.e., targets) in the body, and the stimulator implanted in the patient sends electrical pulses to the targets through the electrodes to regulate the corresponding neural structures and networks. Electrical activity and its function, thereby improving symptoms and relieving pain. Among them, the stimulator can be an implantable electrical nerve stimulation device, an implantable cardiac electrical stimulation system (also known as a cardiac pacemaker), an implantable drug infusion device (Implantable Drug Delivery System, referred to as IDDS) and a wire switch. any one of the connected devices. Implantable electrical nerve stimulation devices are, for example, Deep Brain Stimulation (DBS), Implantable Cortical Nerve Stimulation (CNS), Implantable Spinal Cord Stimulation , referred to as SCS), implanted sacral nerve stimulation system (Sacral Nerve Stimulation, referred to as SNS), implanted vagus nerve stimulation system (Vagus Nerve Stimulation, referred to as VNS) and so on.

The stimulator can include IPG, extension wires and electrode wires. The IPG (implantable pulse generator, implantable pulse generator) is set in the patient's body, receives the program control instructions sent by the program control device, and provides controllable stimulation to the tissues in the body relying on sealed batteries and circuits. Electrical stimulation energy, through implanted extension leads and electrode leads, delivers one or two controlled, specific electrical stimuli to specific areas of tissue in the body. The extension lead is used in conjunction with the IPG as a transmission medium for the electrical stimulation signal, and transmits the electrical stimulation signal generated by the IPG to the electrode lead. Electrode leads deliver electrical stimulation to specific areas of tissue in the body through multiple electrode contacts. The stimulator is provided with one or more electrode wires on one side or both sides, and a plurality of electrode contacts are arranged on the electrode wires, and the electrode contacts can be arranged uniformly or non-uniformly in the circumferential direction of the electrode wires. As an example, the electrode contacts may be arranged in an array of 4 rows and 3 columns (a total of 12 electrode contacts) in the circumferential direction of the electrode wire. Electrode contacts may include stimulation electrode contacts and/or collection electrode contacts. The electrode contacts can be in the shape of, for example, a sheet, a ring, or a dot.

In some possible implementations, the stimulated body tissue may be the patient's brain tissue, and the stimulated site may be a specific part of the brain tissue. When the patient's disease type is different, the stimulated site is generally different, the number of stimulation contacts used (single source or multi-source), one or more channels (single-channel or multi-channel) specific electrical stimulation signals The application and stimulus parameter data are also different. The embodiment of the present application does not limit the applicable disease types, which may be the applicable disease types for deep brain stimulation (DBS), spinal cord stimulation (SCS), pelvic stimulation, gastric stimulation, peripheral nerve stimulation, and functional electrical stimulation. Among the types of disorders that DBS can be used to treat or manage include, but are not limited to: spasticity disorders (e.g., epilepsy), pain, migraine, psychiatric disorders (e.g., major depressive disorder (MDD)), bipolar disorder, anxiety disorders, Post-traumatic stress disorder, hypodepression, obsessive-compulsive disorder (OCD), conduct disorder, mood disorder, memory disorder, mental status disorder, mobility disorder (eg, essential tremor or Parkinson's disease), Huntington's disease, Al Alzheimer's disease, drug addiction, autism, or other neurological or psychiatric conditions and impairments.

In the embodiment of the present application, when the program-controlled device and the stimulator establish a program-controlled connection, the program-controlled device can be used to adjust the stimulation parameters of the stimulator (different stimulation parameters correspond to different electrical stimulation signals), and the stimulator can also be used to sense the deep brain of the patient. The bioelectric activity of the stimulator can be used to collect the electrophysiological signal, and the stimulation parameters of the electrical stimulation signal of the stimulator can be adjusted continuously through the collected electrophysiological signal.

Stimulation parameters can include at least one of the following: frequency (for example, the number of electrical stimulation pulse signals per unit time 1s, the unit is Hz), pulse width (the duration of each pulse, the unit is μs), amplitude (generally used Voltage expression, that is, the intensity of each pulse, the unit is V), timing (for example, it can be continuous or triggered), stimulation mode (including one or more of current mode, voltage mode, timed stimulation mode and cycle stimulation mode) , The upper and lower limits of the doctor's control (the range that can be adjusted by the doctor) and the upper and lower limits of the patient's control (the range that can be adjusted by the patient).

In a specific application scenario, various stimulation parameters of the stimulator can be adjusted in current mode or voltage mode.

The program-controlled device may be a doctor-programmed device (ie, a program-controlled device used by a doctor) or a patient-programmed device (ie, a program-controlled device used by a patient). The doctor's program-controlled device can be, for example, a tablet computer, a notebook computer, a desktop computer, a mobile phone and other smart terminal devices equipped with program-controlled software. The patient program-controlled device can be, for example, smart terminal devices such as tablet computers, notebook computers, desktop computers, and mobile phones equipped with program-controlled software, and the patient program-controlled device can also be other electronic devices with program-controlled functions (such as chargers with program-controlled functions, data collection device).

The embodiment of the present application does not limit the data interaction between the doctor's program-controlled device and the stimulator. When the doctor remotely programs, the doctor's program-controlled device can perform data interaction with the stimulator through the server and the patient's program-controlled device. When the doctor performs program control with the patient face-to-face offline, the doctor's program-controlled device can interact with the stimulator through the patient's program-controlled device, and the doctor's program-controlled device can also directly interact with the stimulator.

In some optional embodiments, the patient programmable device may include a host (communicating with the server) and a slave (communicating with the stimulator), the host and slave being communicatively connected. Among them, the doctor's program-controlled equipment can exchange data with the server through the 3G/4G/5G network, the server can exchange data with the host through the 3G/4G/5G network, and the host can exchange data with the slave through the Bluetooth protocol/WIFI protocol/USB protocol. Interaction, the sub-machine can exchange data with the stimulator through the 401MHz-406MHz working frequency band/2.4GHz-2.48GHz working frequency band, and the doctor's program-controlled equipment can directly exchange data with the stimulator through the 401MHz-406MHz working frequency band/2.4GHz-2.48GHz working frequency band interact.

Referring to FIG. 1 , FIG. 1 is a schematic flowchart of a parameter adjustment method in the prior art. Among them, the change of the patient’s state type is judged based on obtaining the real-time state type of the patient in real time and judging whether the real-time state type has changed. larger.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a parameter adjustment method provided in an embodiment of the present application. Among them, the change of the patient state type is to first judge whether the real-time characteristic signal of the patient changes. Only when the real-time characteristic signal changes, the state classification model is used for classification operation to obtain the real-time state type of the patient. In this process, there is no need to Real-time use of the state classification model for classification operations, and the amount of computation to determine whether the real-time feature signal has changed is much smaller than that of using the state classification model for classification operations, so the process occupies less computing resources.

Continue to refer to FIG. 2, and refer to FIG. 3 and FIG. 10 together. The embodiment of the present application provides a parameter adjustment method of an implantable neurostimulator, which is applied to an implanted neurostimulator. The implanted neurostimulator includes: a plurality of electrodes 101 capable of being positioned within the brain of a patient to deliver therapy or sense electrical activity to the patient; therapy delivery circuitry 102 operatively coupled to the a plurality of electrodes 101 to deliver therapy to the patient; a sensing circuit 103 operatively coupled to the plurality of electrodes 101 to sense electrical activity; a controller 104 the controller 104 Comprising processing circuitry operatively coupled to the therapy delivery circuit 102 and the sensing circuit 103; the method includes steps S101-S107.

Among them, an implantable neurostimulator refers to a device that generates electrical stimulation to stimulate specific nerves or muscles in the patient's body to intervene in the patient's specific symptoms, such as the Deep Brain Stimulation System (Deep Brain Stimulation) , referred to as DBS), implanted cortical stimulation system (Cortical Nerve Stimulation, referred to as CNS), implanted spinal cord stimulation system (Spinal Cord Stimulation, referred to as SCS), implanted sacral nerve stimulation system (Sacral Nerve Stimulation, SNS for short), implantable vagus nerve stimulation system (Vagus Nerve Stimulation, VNS for short), etc. The parameters of the stimulator are, for example, frequency (number of pulses per unit time 1s, unit is Hz), pulse width (duration of each pulse, unit is μs), and amplitude (generally expressed in voltage, that is, each pulse The intensity of , the unit is V). In specific applications, various parameters of the stimulator can be adjusted in current mode or voltage mode.

The patients in the embodiments of the present application may be patients with Parkinson's disease, or patients with mental illnesses such as depression patients and obsessive-compulsive disorder patients, or patients with drug addiction or drug addicts.

For Parkinson's patients, the most commonly used parameters are 130Hz, 60μs and a voltage of 2-3V. For patients with tremor symptoms, pulse stimulation greater than 100 Hz can be effective, and low frequency stimulation may even aggravate tremor.

Step S101: Sensing the potentials of two electrodes corresponding to a recommended electrode combination in real time through the sensing circuit, the recommended electrode combination including two of the plurality of electrodes.

Step S102: Based on the potentials of the two electrodes corresponding to the recommended electrode combination, calculate the real-time voltage between the two electrodes corresponding to the recommended electrode combination.

Step S103: Based on the real-time voltage between the two electrodes corresponding to the recommended electrode combination from the preset moment to the current moment, obtain the real-time characteristic signal at the current moment corresponding to the recommended electrode combination, and the preset moment is at the current moment. before the present moment.

Step S104: Input the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination into the similarity detection model, and obtain the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination The similarity between real-time feature signals, the similarity detection model is obtained by pre-training.

Step S105: When the similarity between the real-time characteristic signal at the current moment corresponding to the recommended electrode combination and the real-time characteristic signal at the previous moment is not greater than the preset similarity, calculate the real-time characteristic signal at the current moment corresponding to the recommended electrode combination The characteristic signal is input into the state classification model to obtain the real-time state type of the patient, and the state classification model is obtained through pre-training. The similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is not greater than the preset similarity, indicating that the real-time characteristic signal at the current moment is similar to the real-time characteristic signal at the previous moment The degree of similarity between the real-time characteristic signal at the current moment corresponding to the recommended electrode combination and the real-time characteristic signal at the previous moment is greater than the preset similarity degree, indicating that the real-time characteristic signal at the current moment has a high similarity with the real-time characteristic signal at the previous moment, and the real-time characteristic signal has not changed significantly compared with the previous moment. Wherein, the preset similarity is, for example, 80%, 85% or 90%.

The patient's state type may refer to the classification type of the patient's current activity state, for example, may include at least one of the following: before going to bed, after waking up, after taking medicine, after a meal, during exercise, and during an attack; or, the patient's state The type may refer to the classification type of the patient's current emotional state, for example, may include at least one of the following: normal, fatigue, depression, depression, happiness, etc.; for different patient states, the optimal treatment parameters are different.

Wherein, when the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is greater than the preset similarity, no processing may be performed.

Step S106: Obtain parameter configuration information based on the real-time status type of the patient.

Wherein, the parameter configuration information refers to the information used to indicate the parameters when delivering treatment to the patient, which may be the configuration information pre-stored in the implantable neurostimulator, or the configuration information acquired from the cloud server through the network, It can also be manually entered configuration information.

Step S107: Based on the parameter configuration information, control one or more of the plurality of electrodes to deliver therapy to the patient through the therapy delivery circuit.

Thus, the potential of the electrode corresponding to the recommended electrode combination is used to obtain the voltage between the two electrodes, and then the real-time characteristic signal is obtained according to the voltage, and the similarity of the real-time characteristic signal compared with the previous moment is detected. When the similarity is not greater than the predetermined When setting the similarity, classify the real-time characteristic signals at the current moment to obtain the real-time state type, and obtain the parameter configuration information according to the real-time state type to control the electrode to deliver treatment to the patient; compared with the real-time state type, the real-time state is similar The computing load is lower, saving computing resources, and improving the running speed of processes corresponding to other functions of the implantable neurostimulation system.

Referring to FIG. 4 , FIG. 4 is a partial schematic flowchart of another parameter adjustment method provided by an embodiment of the present application. In some possible manners, the method may further include steps S108-S1012.

Step S108: Sensing the potentials of the plurality of electrodes through the sensing circuit.

Step S109: Based on the sensed potentials of the plurality of electrodes, calculate the difference between the potentials of any two of the electrodes to obtain the voltage between the any two electrodes.

Step S110: Based on the voltage between the any two electrodes within a preset time range, obtain the characteristic signal corresponding to the electrode combination formed by the any two electrodes.

Step S111: Obtain a score corresponding to each electrode combination based on one or more of the signal strength, pulse width, and similarity between the characteristic signal and the expected signal corresponding to each electrode combination.

Step S112: Based on the scores corresponding to all electrode combinations, use the electrode combination with the highest score as the recommended electrode combination.

Therefore, a method for obtaining a recommended electrode combination is provided. Based on the voltage between any two electrodes within a preset time range, the characteristic signal is obtained, and then the score is calculated based on one or more characteristics of the plurality of characteristic signals. The one with the highest score is the recommended electrode combination, and the obtained recommended electrode combination can reflect the real state of the patient to the greatest extent, making the parameter adjustment based on the recommended electrode combination more accurate.

Referring to FIG. 5 , FIG. 5 is a schematic flowchart of obtaining parameter configuration information provided by an embodiment of the present application. In some possible manners, the step S106 may include step S201 or step S202:

Step S201: Input the real-time state type of the patient into the parameter configuration model to obtain the parameter configuration information corresponding to the real-time state type, and the parameter configuration model is obtained through pre-training; or

Step S202: Send the real-time state type of the patient to the program-controlled device, so that the program-controlled device sends the real-time state type to the user equipment corresponding to the patient, and receives the parameter configuration information sent by the program-controlled device, the The parameter configuration information is obtained through manual configuration.

Therefore, using the parameter configuration model to obtain parameter configuration information based on real-time status types can quickly and automatically obtain parameter configuration information, respond to changes in patient status in a timely manner, and improve the effect of delivering treatment to patients; or, use manual configuration based on real-time status Type to obtain parameter configuration information, the obtained parameter configuration information is accurate, and can flexibly adjust parameters for specific patients, which helps to improve the treatment effect.

Referring to FIG. 6 , FIG. 6 is a schematic flow chart of obtaining a user equipment corresponding to a patient provided by an embodiment of the present application. In some possible manners, the acquiring process of the user equipment corresponding to the patient may include steps S301-S302.

Step S301: Based on the real-time status type of the patient, query the real-time communication level corresponding to the real-time status type, wherein, for the patient, each communication level corresponds to one or more user equipments, and each of the communication The user equipment corresponding to the level is manually configured, and the real-time communication level is one of the communication levels.

Step S302: Obtain the user equipment at the real-time communication level corresponding to the patient.

Among them, the communication level refers to the level of the group corresponding to different user equipment. For example, the user equipment may include the patient's mobile phone, the patient's tablet computer, the patient's family mobile phone, the patient's escort mobile phone, the patient's corresponding doctor's mobile phone, and the patient's corresponding doctor's mobile phone. For example, patient mobile phones and patient tablet computers are classified as the first level, and patient mobile phones, patient tablet computers, patient family mobile phones, and patient accompanying personnel mobile phones are classified as the second level. , the patient’s mobile phone, patient’s tablet computer, patient’s family mobile phone, patient’s accompanying person’s mobile phone, patient’s corresponding doctor’s mobile phone, patient’s corresponding doctor’s tablet computer are classified into the third level, patient’s mobile phone, patient’s tablet computer, patient’s family’s mobile phone, patient’s The mobile phones of accompanying personnel, mobile phones of doctors corresponding to patients, tablet computers of doctors corresponding to patients, and mobile phones of emergency rescue personnel are classified as the fourth level.

In some application scenarios, if the real-time status type of patient A is confirmed as after meal, the above-mentioned first level is used as the real-time communication level, and patient A’s mobile phone and patient A’s tablet are the corresponding user equipment of patient A. At this time, patient A himself receives The real-time status type is after meal; in other application scenarios, the real-time status type of patient B is after taking medicine, then the above-mentioned third level is used as the real-time communication level, at least the mobile phone of the doctor corresponding to patient B and the doctor corresponding to patient B The tablet computer of patient B is the user equipment corresponding to patient B. At least the doctor corresponding to patient B receives the real-time status type of taking medicine, which is convenient for the doctor to track the status and adjust the parameters of patient B; in other application scenarios, patient C suddenly becomes ill, If the real-time status type of patient C is onset, the above-mentioned fourth level is used as the real-time communication level. The computer and the mobile phone of the emergency rescue personnel are used as the user equipment corresponding to patient C. The family members, escorts, corresponding doctors and emergency rescue personnel of patient C can all know that patient C is sick in time, which is convenient for the status tracking and emergency management of patient C. ambulance.

The real-time status type that can represent the current risk level of the patient corresponds to the communication level, and the patient's situation can be selectively notified to specific personnel or all personnel related to the patient according to the different risk levels corresponding to the current patient status. On the one hand, it will not disturb the doctor when the patient has a minor problem, avoiding increasing the workload of the doctor and wasting medical resources; on the other hand, when the patient has a major problem, it will promptly notify all the personnel related to the patient, so that rescue forces can be launched in time.

Therefore, based on the real-time state type, the real-time communication level corresponding to the state type is determined, and the user equipment corresponding to the patient is acquired based on the real-time communication level, so that different user equipment can be acquired for different real-time state types of the patient, so that when the patient is in In different states, the corresponding personnel can know the state of the patient in time.

In some possible manners, the step S107 may include step S401.

Step S401: Based on the parameter configuration information, through the treatment delivery circuit, control the two electrodes corresponding to the recommended electrode combination to deliver treatment to the patient.

Therefore, the treatment is delivered based on the electrodes corresponding to the recommended electrode combination based on the parameter configuration information. Since the parameter configuration information is obtained based on the recommended electrode combination, it is more accurate to deliver treatment based on the electrodes corresponding to the recommended electrode combination.

Referring to FIG. 7 , FIG. 7 is a partial schematic flowchart of another parameter adjustment method provided in an embodiment of the present application. In some possible manners, the method may further include step S113.

Step S113: When the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is not greater than the preset similarity, determine that the patient has a state change, and record the The current moment and the real-time characteristic signal at the present moment corresponding to the recommended electrode combination.

Wherein, when the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is greater than the preset similarity, it can be determined that no state change has occurred in the patient, or it can be Do nothing.

Therefore, using the similarity to determine the change of the patient's state and recording the current moment and its corresponding real-time characteristic signal can make the change of the patient's state and the corresponding real-time characteristic signal traceable, and help medical staff to return to the patient's state and/or research.

Referring to FIG. 8 , FIG. 8 is a partial flowchart of another parameter adjustment method provided by the embodiment of the present application. In some possible manners, the method may further include steps S114-S115.

Step S114: Send the real-time status type of the patient to the program-controlled device, so that the program-controlled device sends status change prompt information including the real-time status type to the user equipment corresponding to the patient.

Step S115: Utilize the program-controlled device to receive the confirmation operation or modification operation on the real-time status type sent by the user equipment corresponding to the patient, confirm or modify the real-time status type, and then combine the real-time status type with the The real-time characteristic signal corresponding to the recommended electrode combination is associated and stored as training data for updating the state classification model.

In some application scenarios, after patient D takes the medicine, the real-time state type of patient D is determined to be in motion. At this time, the real-time state type is sent to the program-controlled device, and further sent to the mobile phone of patient D. Patient D recognizes the real-time The state type is wrong, and use his mobile phone to modify the real-time state type to after taking medicine; then the modified state type of patient D and the real-time characteristic signal corresponding to the current electrode combination are associated and stored, and the model parameters are updated according to the associated stored training data , so that the next time patient D takes the medicine, its real-time status type is correctly determined as after taking the medicine, wherein the storage location can be the storage medium in the program-controlled device of patient D, or it can be in the network structure including the program-controlled device of patient D The cloud server; the update of the model parameters can be run in the program-controlled device of patient D, and can also be run in the cloud server, and the updated model parameters are sent to the program-controlled device of patient D.

Thus, the status change prompt information is sent to the user equipment, and the confirmation or modification operation of the user is received, and the confirmed or modified real-time status type and the real-time characteristic signal are associated and stored to update the status classification model. The confirmation and modification of the state classification further optimizes the recognition accuracy of the state classification model, and finally improves the accuracy of parameter adjustment.

Referring to FIG. 9 , FIG. 9 is a partial flowchart of another parameter adjustment method provided by the embodiment of the present application. In some possible manners, the method may further include steps S116-S117.

Step S116: Control one or more of the plurality of electrodes to deliver therapy to the patient through the therapy delivery circuit.

Step S117: During the process of delivering the treatment, the potentials of the plurality of electrodes are sensed by the sensing circuit.

Therefore, in the process of delivering treatment, sensing the potential of multiple electrodes can reflect the change of the patient's state during the treatment process, and the parameter adjustment can reflect the impact of the treatment on the patient's state, which is convenient for medical personnel to adjust and research .

Referring to FIG. 10 , FIG. 10 is a schematic structural diagram of an implantable neurostimulator provided in an embodiment of the present application. The embodiment of the present application also provides an implantable neurostimulator, including: a plurality of electrodes 101, the plurality of electrodes 101 can be positioned in the patient's brain to deliver therapy or sense electrical activity to the patient; a therapy delivery circuit 102, the therapy delivery circuit 102 is operatively coupled to the plurality of electrodes 101 to deliver therapy to the patient; a sensing circuit 103, the sensing circuit 103 is operatively coupled to the plurality of electrodes 101 to sense electrical activity; a controller 104 comprising processing circuitry operatively coupled to the therapy delivery circuit 102 and the sensing circuit 103, the controller 104 being configured to: The sensing circuit senses the potentials of two electrodes corresponding to the recommended electrode combination in real time, and the recommended electrode combination includes two of the plurality of electrodes, based on the potentials of the two electrodes corresponding to the recommended electrode combination, Calculate the real-time voltage between the two electrodes corresponding to the recommended electrode combination; based on the real-time voltage between the two electrodes corresponding to the recommended electrode combination from the preset time to the current time, obtain the The real-time characteristic signal at the current moment, the preset time is before the current moment, and the real-time characteristic signal at the current moment corresponding to the recommended electrode combination and the real-time characteristic signal at the previous moment are input into the similarity detection model to obtain the The similarity between the real-time feature signal at the current moment corresponding to the recommended electrode combination and the real-time feature signal at the previous moment, the similarity detection model is obtained through pre-training, when the real-time feature signal at the current moment corresponding to the recommended electrode combination When the similarity between the signal and the real-time characteristic signal at the previous moment is not greater than the preset similarity, input the real-time characteristic signal at the current moment corresponding to the recommended electrode combination into the state classification model to obtain the real-time state type of the patient, The state classification model is pre-trained, and parameter configuration information is obtained based on the real-time state type of the patient, and based on the parameter configuration information, one or more of the plurality of electrodes is controlled through the treatment delivery circuit to deliver therapy to the patient.

In some possible manners, the controller 104 may also be configured to obtain the recommended electrode combination in the following manner: through the sensing circuit, sensing the potentials of the plurality of electrodes; The potentials of the plurality of electrodes are calculated, and the difference between the potentials of any two electrodes is calculated to obtain the voltage between the two electrodes; based on the voltage between the two electrodes within the preset time range, the obtained The characteristic signal corresponding to the electrode combination formed by any two electrodes; based on one or more of the signal strength, pulse width and similarity between the characteristic signal and the expected signal of the characteristic signal corresponding to each electrode combination, obtain The score corresponding to each electrode combination; based on the scores corresponding to all electrode combinations, the electrode combination with the highest score is used as the recommended electrode combination.

In some possible manners, the controller 104 may be further configured to obtain the parameter configuration information in the following manner: input the real-time state type of the patient into the parameter configuration model to obtain the parameter configuration corresponding to the real-time state type information, the parameter configuration model is pre-trained; or

In some possible manners, the controller 104 may also be configured to obtain the user equipment corresponding to the patient in the following manner: based on the real-time status type of the patient, query the real-time communication level corresponding to the real-time status type , wherein, for the patient, each communication level corresponds to one or more user equipment, and the user equipment corresponding to each communication level is manually configured, and the real-time communication level is one of the communication levels ; Obtain the user equipment corresponding to the patient at the real-time communication level.

In some possible manners, the controller 104 may be further configured to deliver therapy to the patient in the following manner: based on the parameter configuration information, through the therapy delivery circuit, control the two electrodes corresponding to the recommended electrode combination electrodes to deliver therapy to the patient.

In some possible manners, the controller 104 may also be configured to: when the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is not greater than the preset similarity When the degree is higher, it is determined that the patient has a state change, and the real-time characteristic signal at the current moment corresponding to the recommended electrode combination is recorded.

In some possible manners, the controller 104 may also be configured to: send the real-time status type of the patient to the program-controlled device, so that the program-controlled device sends the real-time State change prompt information of the state type; use the program-controlled device to receive the confirmation operation or modification operation for the real-time state type sent by the user equipment corresponding to the patient, confirm or modify the real-time state type, and then update the real-time state type The state type and the real-time characteristic signal corresponding to the recommended electrode combination are associated and stored as training data for updating the state classification model.

In some possible ways, the controller 104 can also be configured to: control one or more of the plurality of electrodes to deliver therapy to the patient through the therapy delivery circuit; , sensing potentials of the plurality of electrodes through the sensing circuit.

An embodiment of the present application also provides an implantable neurostimulator system, including a program-controlled device and any one of the above-mentioned implanted neurostimulators.

In some possible manners, the program-controlled device may be provided with a touch screen.

Referring to FIG. 11 , FIG. 11 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The embodiment of the present application also provides an electronic device 200, and the electronic device 200 includes at least one memory 210, at least one processor 220, and a bus 230 connecting different platform systems.

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 .

Wherein, the memory 210 also stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 executes the steps of the parameter adjustment method in the embodiment of the present application. The implementation mode and the achieved technical effect are the same, and part of the content will not be repeated.

Memory 210 may also include utility 214 having at least one program module 215 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, examples of each or Implementations of network environments may be included in some combination.

Correspondingly, the processor 220 can execute the above-mentioned computer program, and can execute the utility tool 214 .

Bus 230 may be representative of one or more of several types of bus structures, including a memory bus or memory controller 104, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. .

The electronic device 200 can also communicate with one or more external devices 240 such as keyboards, pointing devices, Bluetooth devices, etc., and can also communicate with one or more devices capable of interacting with the electronic device 200, and/or communicate with the electronic device 200 200 is capable of communicating with any device (eg, router, modem, etc.) that communicates with one or more other computing devices. Such communication may occur through input-output interface 250 . Moreover, the electronic device 200 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 260 . The network adapter 260 can communicate with other modules of the electronic device 200 through the bus 230 . It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with electronic device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives And data backup storage platform, etc.

The embodiment of the present application also provides a computer-readable storage medium, which is used to store a computer program. When the computer program is executed, the steps of the parameter adjustment method in the embodiment of the present application are realized. The specific implementation method The implementation mode and the achieved technical effect are consistent with those described in the above-mentioned embodiment of the parameter adjustment method, and part of the content will not be repeated here.

Fig. 12 shows the program product 300 for realizing the above-mentioned implantable neurostimulator provided by this embodiment, which can adopt a portable compact disk read-only memory (CD-ROM) and include program codes, and can be installed on the terminal equipment, For example running on a personal computer. However, the program product 300 of the present invention is not limited thereto. In this application, a readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, device or device. Program product 300 may utilize any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

A computer readable storage medium may include a data signal carrying readable program code in baseband or as part of a carrier wave traveling as part of a data signal. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium can be transmitted by any appropriate medium, including but not limited to wireless, cable, optical cable, RF, etc., or any suitable combination of the above. The program codes for performing the operations of the present invention can be written in any combination of one or more programming languages, and the programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages A programming language such as C or similar. 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 to execute. In cases involving 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., using an Internet service provider). business to connect via the Internet).

This application is elaborated from the perspectives of purpose of use, performance, progress and novelty. The above description and accompanying drawings of this application are only preferred embodiments of this application, and are not intended to limit this application. Therefore, all All structures, devices, features, etc. that are similar or identical to those of the present application, that is, all equivalent replacements or modifications made according to the scope of the patent application of the present application, shall fall within the scope of protection of the patent application of the present application.

Claims

An implantable neurostimulator comprising:

a plurality of electrodes positionable within the patient's brain to deliver therapy or sense electrical activity to the patient;

therapy delivery circuitry operatively coupled to the plurality of electrodes to deliver therapy to the patient;

sensing circuitry operatively coupled to the plurality of electrodes to sense electrical activity;

a controller comprising processing circuitry operably coupled to the therapy delivery circuit and the sensing circuit, the controller configured to:

Through the sensing circuit, the potentials of the two electrodes corresponding to the recommended electrode combination are sensed in real time, and the recommended electrode combination includes two of the plurality of electrodes,

calculating the real-time voltage between the two electrodes corresponding to the recommended electrode combination based on the potentials of the two electrodes corresponding to the recommended electrode combination;

Based on the real-time voltage between the two electrodes corresponding to the recommended electrode combination from the preset moment to the current moment, the real-time characteristic signal at the current moment corresponding to the recommended electrode combination is obtained, and the preset moment is at the current moment Before,

Input the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination into the similarity detection model, and obtain the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination The similarity between, the similarity detection model is pre-trained,

When the similarity between the real-time characteristic signal at the current moment corresponding to the recommended electrode combination and the real-time characteristic signal at the previous moment is not greater than the preset similarity, input the real-time characteristic signal at the current moment corresponding to the recommended electrode combination A state classification model to obtain the real-time state type of the patient, the state classification model is pre-trained,

Obtain parameter configuration information based on the real-time status type of the patient,

One or more of the plurality of electrodes is controlled to deliver therapy to the patient via the therapy delivery circuit based on the parameter configuration information.
The implantable neurostimulator according to claim 1, wherein the controller is further configured to obtain the recommended electrode combination in the following manner:

sensing potentials of the plurality of electrodes through the sensing circuit;

Based on the sensed potentials of the plurality of electrodes, calculating the difference between the potentials of any two electrodes, to obtain the voltage between any two electrodes;

Obtaining a characteristic signal corresponding to an electrode combination formed by any two electrodes based on the voltage between any two electrodes within a preset time range;

Obtain a score corresponding to each electrode combination based on one or more of the signal strength, pulse width, and similarity between the characteristic signal and the expected signal corresponding to each electrode combination;

Based on the scores corresponding to all electrode combinations, the electrode combination with the highest score is used as the recommended electrode combination.
The implantable neural stimulator according to claim 1, wherein the controller is further configured to obtain the parameter configuration information in the following manner:

Inputting the real-time state type of the patient into a parameter configuration model to obtain parameter configuration information corresponding to the real-time state type, and the parameter configuration model is obtained through pre-training; or

Sending the real-time state type of the patient to the program-controlled device, so that the program-controlled device sends the real-time state type to the user equipment corresponding to the patient, and receives parameter configuration information sent by the program-controlled device, the parameter configuration information It is manually configured.
The implantable neurostimulator according to claim 3, wherein the controller is further configured to acquire the corresponding user equipment of the patient in the following manner:

Based on the real-time status type of the patient, query the real-time communication level corresponding to the real-time status type, wherein, for the patient, each communication level corresponds to one or more user equipments, and each communication level corresponds to The user equipment is manually configured, and the real-time communication level is one of the communication levels;

The user equipment corresponding to the patient at the real-time communication level is acquired.
The implantable neurostimulator of claim 1 , wherein the controller is further configured to deliver therapy to the patient by:

Based on the parameter configuration information, through the therapy delivery circuit, two electrodes corresponding to the recommended electrode combination are controlled to deliver therapy to the patient.
The implantable neurostimulator of claim 1, wherein the controller is further configured to:

When the similarity between the real-time characteristic signal at the current moment and the real-time characteristic signal at the previous moment corresponding to the recommended electrode combination is not greater than the preset similarity, it is determined that the patient has a state change, and the current moment and the real-time characteristic signal are recorded. The real-time feature signal at the current moment corresponding to the recommended electrode combination.
The implantable neurostimulator of claim 6, wherein the controller is further configured to:

Sending the real-time status type of the patient to the program-controlled device, so that the program-controlled device sends the status change prompt information including the real-time status type to the user equipment corresponding to the patient;

Utilize the program-controlled device to receive the confirmation operation or modification operation on the real-time status type sent by the user equipment corresponding to the patient, confirm or modify the real-time status type, and then combine the real-time status type with the recommended electrode Corresponding real-time feature signals at the current moment are associated and stored as training data for updating the state classification model.
The implantable neurostimulator of claim 1, wherein the controller is further configured to sense the potential of the plurality of electrodes in the following manner:

controlling one or more of the plurality of electrodes to deliver therapy to the patient via the therapy delivery circuit;

During delivery of therapy, the electrical potential of the plurality of electrodes is sensed by the sensing circuit.
An implantable nerve stimulation system, comprising a program-controlled device and the implantable nerve stimulator according to claim 1.
The implantable neural stimulation system according to claim 9, wherein the programmable device is provided with a touch display screen.