CN117065217A

CN117065217A - Potential signal acquisition device, potential signal acquisition method, medical system, and readable storage medium

Info

Publication number: CN117065217A
Application number: CN202311213825.7A
Authority: CN
Inventors: 陈晶华
Original assignee: Sceneray Co Ltd
Current assignee: Sceneray Co Ltd
Priority date: 2023-09-20
Filing date: 2023-09-20
Publication date: 2023-11-17

Abstract

The application provides a potential signal acquisition device, a potential acquisition method, a medical system and a computer readable storage medium. The potential signal acquisition device comprises a memory and at least one processor, wherein the memory stores a computer program, and the at least one processor is configured to realize the following steps when executing the computer program: acquiring a stimulation parameter set of a patient; according to the stimulation parameter set, releasing the electric stimulation corresponding to the forward wave parameter to a stimulation target point of the patient; and when the electric stimulation release corresponding to the forward wave parameter is finished, acquiring a first potential signal of the stimulation target point in a first interval period. According to the application, when the electric stimulation corresponding to the forward wave parameter is released, the first potential signal of the stimulation target point is acquired in the first interval period, so that the accuracy of the acquired potential signal is improved.

Description

Potential signal acquisition device, potential signal acquisition method, medical system, and readable storage medium

Technical Field

The present application relates to the field of implantable medical systems, and more particularly, to a potential signal acquisition apparatus, a potential acquisition method, a medical system, and a computer-readable storage medium.

Background

With the advancement of technology and society, people are urgent to improve the quality of life through various therapeutic means. Medical equipment, particularly implantable devices, have a wide range of application prospects. Implantable devices refer to medical devices that are surgically placed into the body or into the lumen (mouth) in whole or in part, or that are used to replace the epithelial or ocular surfaces of the body, and remain in the body for more than 30 days after surgery or are absorbed by the body. Stimulators are one type of implantable device that can provide accurate and controlled electrical stimulation therapy to a patient.

When the traditional nerve stimulator generates stimulation waveforms, potential signals of a stimulation target point can be acquired after a group of forward waves and reverse waves are completed, because the nerve stimulator sequentially releases the forward waves and the reverse waves, and the potential signals of the stimulation target point cannot be acquired when the forward waves and the reverse waves occur. However, the potential signal acquired by the above method cannot accurately obtain the effect of the forward wave on the patient.

In view of the above, the present application provides a potential signal acquisition apparatus, a potential acquisition method, a medical system, and a computer-readable storage medium, which aim to solve the problems in the known art described above.

Disclosure of Invention

The application aims to provide a potential signal acquisition device, a potential acquisition method, a medical system and a computer readable storage medium, so as to solve the problem that the effect of forward waves on a patient cannot be accurately known.

The application adopts the following technical scheme:

in a first aspect, the present application provides a potential signal acquisition device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program:

acquiring a stimulation parameter set of a patient, wherein the stimulation parameter set comprises a forward wave parameter and a first interval period corresponding to the forward wave parameter, and the first interval period is used for indicating the time length between the time when the forward wave ends and the time when the next backward wave starts;

according to the stimulation parameter set, releasing the electric stimulation corresponding to the forward wave parameter to a stimulation target point of the patient;

and when the electric stimulation release corresponding to the forward wave parameter is finished, acquiring a first potential signal of the stimulation target point in the first interval period.

The beneficial effect of this technical scheme lies in: the first potential signal can be acquired in a first interval period so that a user can quickly know the influence of the stimulus and is beneficial to treatment adjustment according to the actual condition of a patient. Because the first potential signal is acquired in real time immediately after the forward wave is ended, the forward wave parameters of the stimulation parameter set can be more accurately adjusted according to the first potential signal, and then personalized electric stimulation treatment can be provided for each patient according to the adjusted forward wave parameters, so that the treatment effect is improved to the greatest extent and unnecessary stimulation is reduced. By means of the time information of the first interval period, time sequence control of electric stimulation can be achieved, the time coordination consistency of stimulation waveforms and signal acquisition is guaranteed, and therefore accuracy of electric potential information acquisition is improved. The time interval of the forward wave and the backward wave is controlled, so that the acquisition of the real signal feedback after the stimulation target receives the electric stimulation can be realized, and more accurate closed-loop control is further realized.

In some possible implementations, the at least one processor is further configured to implement the following steps when executing the computer program:

judging whether the stimulation result corresponding to the forward wave parameter meets a first adjustment condition according to a first potential signal set;

when the stimulation result corresponding to the forward wave parameter meets a first adjustment condition, generating first prompt information, wherein the first prompt information is used for indicating that the forward wave parameter needs to be adjusted;

the first potential signal set comprises one or more first potential signals acquired in a first preset period.

The beneficial effect of this technical scheme lies in: the condition that the stimulation effect is insufficient or exceeds the expected condition can be found in time through evaluating the first potential signal set, and the real-time performance is good. The generated prompt information can help the user to adjust the forward wave parameters according to the actual condition of the patient, so that more personalized treatment is realized. In general, users (especially doctors) pay attention to a plurality of patients, and by automatically generating prompt information, the time of manual intervention required by the users can be reduced, and the efficiency of the users can be improved.

In some possible implementations, the at least one processor is configured to determine, when executing the computer program, whether the stimulation result corresponding to the forward wave parameter satisfies a first adjustment condition in the following manner:

Inputting the stimulation parameter set into a potential prediction model to obtain a predicted potential signal set consisting of a plurality of predicted potential signals;

acquiring potential similarity between the predicted potential signal set and the potential signal set according to the two potential signal sets;

and when the potential similarity is not higher than the preset similarity, determining that the stimulation result corresponding to the forward wave parameter meets a first adjustment condition.

The beneficial effect of this technical scheme lies in: by using the potential prediction model and the similarity analysis, the stimulation effect corresponding to the forward wave parameter can be quantitatively evaluated, so that the evaluation is more objective and accurate and not only depends on subjective judgment. The prompt information can be automatically generated through the judgment of the first adjustment condition, the adjustment of the stimulation parameters is suggested, the manual intervention of the user is reduced, and the working efficiency of the user is improved.

In some possible implementations, the first set of potential signals includes one first potential signal acquired within a first preset period of time, and the at least one processor is configured to acquire potential similarities between the predicted set of potential signals and the set of potential signals when executing the computer program by:

and comparing the first potential signals in the first potential signal set with each predicted potential signal in the predicted potential signal set respectively to obtain the similarity between the first potential signals in the first potential signal set and each predicted potential signal, and taking the highest similarity in a plurality of similarities corresponding to the first potential signals in the first potential signal set as the potential similarity.

The beneficial effect of this technical scheme lies in: by comparing the first potential signal with each predicted potential signal and selecting the highest similarity, the degree of matching of the first potential signal with the predicted potential signal can be determined more accurately. The matching degree determination process does not need manual intervention, can rapidly evaluate the similarity of potential signals, and is helpful for rapidly determining whether the stimulation result corresponding to the current forward wave parameter meets the first adjustment condition. By using similarity as a metric, the comparison can be made more objective and repeatable, reducing uncertainty in subjective judgment.

In some possible implementations, the set of stimulation parameters further includes a reverse wave parameter and a second interval period for indicating a length of time between a time when the reverse wave ends and a time when the next forward wave begins; the at least one processor is further configured to implement the following steps when executing the computer program:

before or after the first potential signal of the stimulation target is acquired, balancing the charge of the stimulation target through reverse waves according to the stimulation parameter set;

And when the reverse wave is ended, acquiring a second potential signal of the stimulation target point in the second interval period.

The beneficial effect of this technical scheme lies in: by using reverse waves to adjust the charge balance, the physiological state of the stimulation target can be ensured to be in an ideal state, so that a better therapeutic effect can be obtained. Meanwhile, the backward wave parameters can be adjusted according to actual needs so as to meet the requirements of different patients or treatment stages, and personalized treatment is facilitated. By respectively acquiring potential signals corresponding to the stimulation targets in the first and second interval periods, continuous monitoring of the change in stimulation effect can be achieved, which is helpful for timely knowing the effect of the treatment so as to make necessary adjustments.

In summary, by adjusting and continuously monitoring the charge balance, it is ensured that the stimulation parameters can better meet the treatment requirements of the patient.

judging whether the stimulation results corresponding to the forward wave parameters and the backward wave parameters meet a second adjustment condition according to a second potential signal set;

When the stimulation results corresponding to the forward wave parameters and the backward wave parameters meet a second adjustment condition, generating second prompt information, wherein the second prompt information is used for indicating that the forward wave parameters and the backward wave parameters need to be adjusted;

the second potential signal set comprises at least one potential signal pair consisting of a first potential signal and a second potential signal, which are acquired in a second preset period.

The beneficial effect of this technical scheme lies in: the stimulation effect can be automatically detected in the treatment process, so that the manual intervention of a user is reduced, and particularly, once the stimulation effect does not meet the second adjustment condition, the second prompt information can be automatically sent to prompt that adjustment is needed. By acquiring and analyzing the second potential signal set, the continuous monitoring of the stimulation effect can be realized, the real-time discovery and correction of the problems in treatment can be facilitated, and the optimal treatment effect of the patient can be ensured. The forward wave parameter and the reverse wave parameter are adjusted according to the actual potential signal data (the first potential signal and the second potential signal), so that more personalized treatment can be realized, and the unique physiological response and treatment requirements of each patient can be met.

In some possible implementations, the product of the reverse voltage and the reverse time corresponding to the reverse wave is not less than the charge energy of the electrical stimulus corresponding to the forward wave parameter.

The beneficial effect of this technical scheme lies in: the reverse wave is ensured to generate enough charges to balance the forward wave, so that the neutrality of the stimulation target point is maintained, and the safety of a patient is improved. If the reverse wave is unable to balance the charge of the forward wave, charge may accumulate at the stimulation target, resulting in adverse effects or tissue damage that can be avoided by ensuring charge balance.

acquiring a third potential signal set, wherein the third potential signal set comprises a plurality of first potential signals which are acquired recently and continuously;

judging whether the first interval period needs to be adjusted according to an abnormal detection result obtained by detecting the abnormal value of the third potential signal set;

and generating interval adjustment information when the abnormality detection result indicates that the first interval period needs to be adjusted.

The beneficial effect of this technical scheme lies in: outlier detection may be an existing data analysis method for identifying outliers or unusual values in a dataset. According to the abnormality detection result, it can be judged whether the first interval period needs to be adjusted. If the anomaly detection result indicates that there is an anomaly or unusual signal in the first set of potential signals, it may be necessary to adjust the first interval period to improve the stimulation effect. The interval adjustment information is generated when the abnormality detection result indicates that the first interval period needs to be adjusted, and may be used to indicate that the patient needs to make an adjustment of the first interval time. By detecting the abnormal value of the third potential signal set, abnormal stimulation effects or abnormal data can be timely identified, which is helpful for finding potential problems. The abnormal detection and the generation of the interval adjustment information can feed back the change of the stimulation effect in real time, and help users to continuously optimize the stimulation parameters in the treatment process. Whether the first interval period needs to be adjusted is automatically judged, so that manual intervention of a user is reduced, and the degree of automation is improved.

In a second aspect, the present application further provides a potential signal acquisition method, where the method includes:

In some possible implementations, the method further includes:

In some possible implementations, the determining whether the stimulation result corresponding to the forward wave parameter meets the first adjustment condition includes:

In some possible implementations, the first potential signal set includes a first potential signal acquired in a first preset period, and the method for acquiring the potential similarity between the predicted potential signal set and the potential signal set includes:

In some possible implementations, the set of stimulation parameters further includes a reverse wave parameter and a second interval period for indicating a length of time between a time when the reverse wave ends and a time when the next forward wave begins;

the method further comprises the steps of:

In some possible implementations, the method further includes:

In a third aspect, the present application also provides a medical system comprising:

a stimulator for delivering electrical stimulation to a stimulation target of the patient and sensing electrophysiological activity of the patient to obtain an electrophysiological signal;

the potential signal collecting apparatus of any one of the first aspects.

In some possible implementations, the stimulator includes:

a pulse generator implanted in the patient for generating stimulation pulses according to a set of stimulation parameters of the patient;

At least one electrode lead, each for sensing electrophysiological activity of the patient to obtain a potential signal, and delivering electrical stimulation corresponding to the stimulation pulses to a stimulation target of the patient;

at least one extension wire, each extension wire is disposed between the pulse generator and the electrode wire, and the extension wire is used for realizing communication connection between the pulse generator and the electrode wire.

In some possible implementations, the stimulator includes:

the pulse generator is implanted on the skull of the patient and is used for generating stimulation pulses according to the stimulation parameter set of the patient;

at least one electrode lead, each for sensing electrophysiological activity of the patient to obtain a potential signal, and delivering electrical stimulation corresponding to the stimulation pulses to a stimulation target of the patient.

In a fourth aspect, the application also provides a computer-readable storage medium storing a computer program which, when executed by at least one processor, performs the functions of the apparatus of any of the first aspects, or performs the steps of the method of any of the second aspects.

In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by at least one processor, performs the functions of the apparatus of any of the first aspects or performs the steps of the method of any of the second aspects.

Drawings

The application will be further described with reference to the drawings and embodiments.

Fig. 1 is a schematic flow chart of a potential signal acquisition method according to an embodiment of the present application.

Fig. 2 is a flow chart of another potential signal acquisition method according to an embodiment of the present application.

Fig. 3 is a schematic flow chart of determining a stimulation result according to an embodiment of the present application.

Fig. 4 is a flow chart of another potential signal acquisition method according to an embodiment of the present application.

Fig. 5 is a flowchart of another potential signal acquisition method according to an embodiment of the present application.

Fig. 6 is a schematic diagram of stimulation and acquisition based on a set of stimulation parameters according to an embodiment of the present application.

Fig. 7a is a schematic diagram of another embodiment of the present application for stimulating and collecting based on a set of stimulation parameters.

Fig. 7b is a schematic diagram of yet another embodiment of the present application for stimulation and acquisition based on a set of stimulation parameters.

Fig. 8 is a block diagram of a potential signal acquisition device according to an embodiment of the present application.

Fig. 9 is a block diagram of a medical system according to an embodiment of the present application.

Fig. 10 is a schematic structural diagram of a computer program product according to an embodiment of the present application.

Detailed Description

The technical scheme of the present application will be described below with reference to the drawings and the specific embodiments of the present application, and it should be noted that, on the premise of no conflict, new embodiments may be formed by any combination of the embodiments or technical features described below.

In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any implementation or design described as "exemplary" or "e.g." in the examples of this application should not be construed as preferred or advantageous over other implementations or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion. The first, second, etc. descriptions in the embodiments of the present application are only used for illustration and distinction of description objects, and no order division is used, nor does it represent a particular limitation on the number in the embodiments of the present application, nor should it constitute any limitation on the embodiments of the present application.

In the following, a brief description of one of the areas of application of embodiments of the present application (i.e., implantable medical systems) will be presented.

Implantable medical systems include implantable neurostimulation systems, implantable cardiac electrical stimulation systems (also known as cardiac pacemakers), implantable drug infusion systems (Implantable Drug Delivery System, IDDS for short), lead switching systems, and the like. The implantable nerve electrical stimulation system is, for example, a deep brain electrical stimulation system (Deep Brain Stimulation, abbreviated as DBS), an implantable brain cortex stimulation system (Cortical Nerve Stimulation, abbreviated as CNS), an implantable spinal cord electrical stimulation system (Spinal Cord Stimulation, abbreviated as SCS), an implantable sacral nerve electrical stimulation system (Sacral Nerve Stimulation, abbreviated as SNS), an implantable vagal nerve electrical stimulation system (Vagus Nerve Stimulation, abbreviated as VNS), or the like.

An implantable neural electrical stimulation system includes a stimulator (i.e., an implantable neural stimulator) implanted in a patient and a programmable device disposed outside the patient. That is, the stimulator is a medical device, or the medical device includes a stimulator. The related nerve regulation technology mainly implants electrodes (the electrodes are in the form of electrode wires for example) at specific parts (namely targets) of tissues of organisms through stereotactic surgery, and electric pulses are sent to the targets through the electrodes to regulate and control the electric activities and functions of corresponding nerve structures and networks, so that symptoms are improved and pains are relieved.

As one example, the DBS includes an IPG (Implantable Pulse Generator ), an extension lead, and an electrode lead, with the IPG being connected to the electrode lead by the extension lead. The IPG is implanted in the patient, for example, in the patient's chest or other in-vivo location.

As another example, the DBS includes an IPG and an electrode lead, with the IPG being directly connected to the electrode lead. The IPG is implanted in the head of a patient, for example by slotting the skull of the patient, and then fitting the IPG in the slot of the skull, in which case it is understood that the IPG may not protrude from the outer surface of the skull, or may protrude partially from the outer surface of the skull.

Wherein the IPG provides controllable electrical stimulation therapy (or electrical stimulation energy) to the tissue in the body by means of a sealed battery and circuitry in response to programming instructions sent by the programming device. The IPG delivers one or more controllable specific electrical stimuli to specific areas of tissue in the body via electrode leads.

In some embodiments, the extension leads are used in conjunction with the IPG as a delivery medium for electrical stimulation to deliver electrical stimulation generated by the IPG to the electrode leads.

In some embodiments, the electrical stimulation may be delivered in the form of a pulsed signal, or may be delivered in the form of a non-pulsed signal. For example, electrical stimulation may be delivered as signals having various waveform shapes, frequencies, and amplitudes. Thus, the electrical stimulus in the form of a non-pulsed signal may be a continuous signal, which may have a sinusoidal waveform or other continuous waveform.

The electrode leads deliver electrical stimulation to specific areas of tissue in the body through the plurality of electrode contacts upon receiving electrical stimulation delivered by the IPG or extension leads. The stimulator is provided with one or more electrode wires on one side or two sides, for example, and the electrode wires are provided with a plurality of electrode contacts, and the electrode contacts can be uniformly arranged or non-uniformly arranged 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 (12 electrode contacts in total) in the circumferential direction of the electrode wire. The electrode contacts may include stimulation electrode contacts and/or harvesting electrode contacts. The electrode contact may take the shape of a sheet, ring, dot, or the like, for example.

In some embodiments, the stimulated in vivo tissue may be brain tissue of a patient and the stimulated site may be a specific site of brain tissue. When the type of disease in the patient is different, the location to be stimulated will generally be different, as will the number of stimulation contacts (single or multiple sources) used, the application of one or more (single or multiple) specific electrical stimuli, and the stimulation parameters (values).

The embodiment of the application is not limited to the applicable disease types, and can be the disease types applicable to Deep Brain Stimulation (DBS), spinal Cord Stimulation (SCS), sacral nerve stimulation, gastric stimulation, peripheral nerve stimulation and functional electrical stimulation. Among the types of diseases that DBS may be used to treat or manage include, but are not limited to: spasticity (e.g., epilepsy), pain, migraine, psychotic disorders (e.g., major Depressive Disorder (MDD)), bipolar disorder, anxiety, post-traumatic stress disorder, mild 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 disorders and impairments.

In the embodiment of the application, when program control connection is established between program control equipment and a stimulator, the program control equipment can be used for adjusting a stimulation parameter set of the stimulator, wherein the stimulation parameter set comprises one or more stimulation parameters (or one or more stimulation parameters of a pulse generator, different corresponding electric stimulations of different stimulation parameters are different), the electrophysiological activity of a patient can be sensed by the stimulator to acquire electrophysiological signals (namely potential signals), and the stimulation parameters of the stimulator can be continuously adjusted by the acquired electrophysiological signals, so that closed-loop control (or self-adaptive adjustment) of the stimulation parameters is realized.

The stimulation parameters may include at least one of: electrode contact identification (e.g., 2# electrode contact and 3# electrode contact) for delivering electrical stimulation, frequency (e.g., number of electrical stimulation pulse signals per unit time of 1s in Hz), pulse width (duration of each pulse in mus), amplitude (typically expressed in terms of voltage, i.e., intensity of each pulse in mus), timing (e.g., continuous or clustered, which refers to discrete timing behavior of multiple process components), stimulation pattern (including one or more of current pattern, voltage pattern, timed stimulation pattern, and cyclic stimulation pattern), physician upper and lower control limits (physician adjustable range), and patient upper and lower control limits (patient autonomously adjustable range).

In some embodiments, the various stimulation parameters of the stimulator may be adjusted in either current mode or voltage mode.

The programming devices may include doctor programming devices (i.e., programming devices used by a doctor) and/or patient programming devices (i.e., programming devices used by a patient). The doctor program control device is, for example, an intelligent terminal device such as a tablet computer, a notebook computer, a desktop computer, a mobile phone, etc. loaded with program control software. The patient program control device is, for example, an intelligent terminal device such as a tablet computer, a notebook computer, a desktop computer, a mobile phone and the like loaded with program control software, and the patient program control device can also be other electronic devices with program control functions (for example, a charger with program control functions, an electrophysiology acquisition device and the like).

The embodiment of the application does not limit the data interaction between the doctor program control equipment and the stimulator, and when the doctor remotely programs, the doctor program control equipment can interact with the stimulator through the server and the patient program control equipment. When the doctor performs program control in a face-to-face manner with the patient, the doctor program control device can perform data interaction with the stimulator through the patient program control device, and the doctor program control device can also perform data interaction with the stimulator directly.

In some embodiments, the patient programming apparatus may include a host (in communication with the server) and a sub-machine (in communication with the stimulator), the host and the sub-machine being communicatively connected. The doctor program control equipment can conduct data interaction with the server through the 3G/4G/5G network, the server can conduct data interaction with the host through the 3G/4G/5G network, the host can conduct data interaction with the sub-machine through the Bluetooth protocol/WIFI protocol/USB protocol, the sub-machine can conduct data interaction with the stimulator through the 401MHz-406MHz working frequency band/2.4 GHz-2.48GHz working frequency band, and the doctor program control equipment can conduct data interaction with the stimulator directly through the 401MHz-406MHz working frequency band/2.4 GHz-2.48GHz working frequency band.

In the related art, the potential signal of the stimulation target point is acquired after a group of forward wave and backward wave are completed, but the potential signal acquired by the mode cannot accurately acquire the effect of the forward wave on a patient.

Based on the above, the application provides a potential signal acquisition device, a potential acquisition method, a medical system and a computer readable storage medium, when the electric stimulation release corresponding to the forward wave parameter is finished, a first potential signal of a stimulation target point is acquired within a first interval period, and the accuracy of the acquired potential signal is improved.

The potential signal acquisition method will be described first, and then the potential signal acquisition device of the medical system will be described.

Method embodiment.

Referring to fig. 1, fig. 1 is a schematic flow chart of a potential signal acquisition method according to an embodiment of the present application.

The embodiment of the application provides a potential signal acquisition method, which comprises the following steps:

step S101: acquiring a stimulation parameter set of a patient, wherein the stimulation parameter set comprises forward wave parameters and first interval periods corresponding to the forward wave parameters; the first interval period is used for indicating the time length between the moment when the forward wave ends and the moment when the next backward wave starts;

step S102: according to the stimulation parameter set, releasing the electric stimulation corresponding to the forward wave parameter to a stimulation target point of the patient;

step S103: and when the electric stimulation release corresponding to the forward wave parameter is finished, acquiring a first potential signal of the stimulation target point in the first interval period.

According to the potential signal acquisition method provided by the embodiment, the electric stimulation is released to the stimulation target point based on the forward wave parameters in the stimulation parameter set, and when the electric stimulation release corresponding to the forward wave parameters is finished, the first potential signal of the stimulation target point is acquired in the first interval period, and the first potential signal can be used for assisting a user in monitoring the effect of the electric stimulation and the physiological response of a patient. The user mentioned in this embodiment may refer to the use of equipment or an operator in the medical system, may refer to the patient himself or herself, and may refer to the guardian, the relative, the care worker or the family doctor of the patient, and the application is not limited thereto.

Therefore, according to the technical scheme provided by the embodiment, on one hand, the first potential signal can be acquired in the first interval period, so that a user can quickly know the influence of stimulation, and treatment adjustment can be facilitated according to the actual condition of a patient.

On the other hand, since the first potential signal is acquired in real time immediately after the forward wave is ended, the forward wave parameters of the stimulation parameter set can be more accurately adjusted according to the first potential signal, and then personalized electric stimulation treatment can be provided for each patient according to the adjusted forward wave parameters, so that the treatment effect is improved to the greatest extent and unnecessary stimulation is reduced.

In another aspect, time sequence control of the electric stimulation can be achieved through time information of the first interval period, and consistency of time coordination of stimulation waveforms and signal acquisition is guaranteed, so that accuracy of electric potential information acquisition is improved.

This is because, in the treatment of an implantable neurostimulator, it is often necessary to stimulate a stimulation target (e.g., a nerve or tissue) of a patient to produce a therapeutic effect, while it is necessary to acquire a potential signal (e.g., a local field potential signal) corresponding to the stimulation target to monitor the effect of the treatment. Therefore, the time relation of the two processes is very critical, and the coordination of the two processes can improve the accuracy of potential information acquisition. In this embodiment, the length of a first interval period after the forward wave electrical stimulation is released is determined according to the information in the stimulation parameter set, and a first potential signal of the stimulation target point is collected in the first interval period. It is believed that if this period is too short, it may result in insufficient signal acquisition and an accurate assessment of the stimulation effect may not be possible. If the period is too long, excessive signal acquisition may result, thereby increasing power consumption and interference. By controlling the time information of the first interval period, the time of the stimulation waveform and the time of the signal acquisition are coordinated, so that the accuracy of the potential information acquisition is improved, and the controllability of the treatment effect is improved.

On the other hand, by controlling the time interval of the forward wave and the backward wave, the acquisition of the real signal feedback after the stimulation target receives the electric stimulation can be realized, and further, the more accurate closed-loop control is realized.

As an example, the first potential signal of the patient may be acquired, and compared with a preset therapeutic target, and adjusted in real time according to the comparison result, so that the therapeutic effect is more accurate, so as to realize more accurate closed-loop control. The adjustment steps are as follows:

and a step of collecting feedback signals: during the treatment, the actual physiological signal (i.e., the first potential signal) of the patient is acquired.

And (3) comparing and analyzing: comparing the collected feedback signal with a preset treatment target to judge whether the treatment target is reached.

And (3) a real-time adjustment step: and adjusting the stimulation parameters in real time according to the comparison result so as to enable the actual treatment effect to be closer to the expected target.

Therefore, the feedback information of the patient is obtained in real time, and the stimulation parameters are adjusted, so that the patient can be more accurately adapted to the physiological condition and change of the individual, the treatment effect is more accurate and optimized, the treatment effect is further improved, and adverse reactions are reduced.

In a specific application, the step S103 further includes sending the first potential information to a user side, where the user side displays the first potential signal. The first prompt information, the second prompt information and the interval adjustment information mentioned below may also be sent to the user side, so that the user obtains the corresponding prompt at the first time, which is not repeated in the present application.

The user terminal may be a program for providing services for the user, or may exist in a page or webpage form, which is not limited by the present application. The system is generally installed on user terminal equipment used by a user, and the user terminal equipment is intelligent terminal equipment such as a tablet computer, a notebook computer, a desktop computer, a mobile phone and the like which are provided with user terminal apps.

The first interval period or the second interval period mentioned below is, for example, 5 μs, 4 μs, 3 μs, 2 μs, or 1 μs, respectively, and the present application is not limited thereto.

In a specific application, the setting and adjustment of the first interval period and the second interval period can be achieved through a timer module. The timer module may be responsible for controlling the time interval between the forward wave and the backward wave, i.e. the first interval period and the second interval period. The timer module may have limits on the minimum and maximum time interval values to ensure that the set time interval is within an acceptable range. The timer module may be in the form of hardware and integrated with the stimulator to receive feedback information and perform real-time adjustment of the time interval to facilitate quick response when needed. The timer module may also be a time control module implemented in embedded software, programmed to manage time intervals.

Referring to fig. 2, fig. 2 is a schematic flow chart of another potential signal acquisition method according to an embodiment of the present application.

In some embodiments, the method may further comprise:

step S104: judging whether the stimulation result corresponding to the forward wave parameter meets a first adjustment condition according to a first potential signal set;

step S105: when the stimulation result corresponding to the forward wave parameter meets a first adjustment condition, generating first prompt information, wherein the first prompt information is used for indicating that the forward wave parameter needs to be adjusted.

The stimulation effect corresponding to the forward wave parameter can be judged based on the first potential signal set, and a prompt for forward wave parameter adjustment is generated when a preset first adjustment condition is met. The first set of potential signals is used to evaluate the corresponding stimulation effect of the forward wave parameter, for example by comparing features or changes of the first potential signals to determine whether the electrical stimulation produces a desired effect on the patient. When the stimulation result does not meet the first adjustment condition, prompt information is not generated, so that the information processing amount is reduced. And generating first prompt information when the stimulation result corresponding to the forward wave parameter meets a first adjustment condition, wherein the first prompt information can be text information, image information, voice information or the like for indicating that the forward wave parameter needs to be adjusted to a user. The adjustment of the forward wave parameters includes, for example, adjusting the amplitude, pulse width, frequency, etc. of the stimulus to improve the effect of the stimulus and better meet the therapeutic needs.

Therefore, the technical scheme provided by the embodiment can timely find out the conditions of insufficient stimulation effect or beyond expectation through evaluating the first potential signal set, and has good instantaneity. The generated prompt information can help the user to adjust the forward wave parameters according to the actual condition of the patient, so that more personalized treatment is realized. In general, users (especially doctors) pay attention to a plurality of patients, and by automatically generating prompt information, the time of manual intervention required by the users can be reduced, and the efficiency of the users can be improved.

Referring to fig. 3, fig. 3 is a schematic flow chart of determining a stimulation result according to an embodiment of the present application.

In some embodiments, the method for determining whether the stimulation result corresponding to the forward wave parameter meets the first adjustment condition may include:

step S201: inputting the stimulation parameter set into a potential prediction model to obtain a predicted potential signal set consisting of a plurality of predicted potential signals;

step S202: acquiring potential similarity between the predicted potential signal set and the potential signal set according to the two potential signal sets;

step S203: and when the potential similarity is not higher than the preset similarity, determining that the stimulation result corresponding to the forward wave parameter meets a first adjustment condition.

The potential similarity and the preset similarity can be represented by numbers or percentages, and when the potential similarity and the preset similarity are represented by numbers, the potential similarity or the preset similarity is 60, 80 or 90, for example; when expressed in terms of percentages, the potential similarity or the preset similarity is, for example, 50%, 70%, or 90%, the higher the number, the higher the similarity.

In this embodiment, the stimulation parameter set of the patient may be input into the potential prediction model. The potential prediction model may be a mathematical model or a machine learning model, which may be used to model the effect of the stimulus on the potential signal. The potential prediction model may generate one or more predicted potential signals from the input set of stimulation parameters to form a set of predicted potential signals, which may simulate a theoretical response of the potential signals after stimulation. And comparing the similarity between the predicted potential signal set and the actual collected potential signal set to measure the matching degree between the predicted potential signal and the actual collected potential signal.

In a specific application, the similarity between the predicted potential signal set and the actually acquired potential signal set is for example:

correlation analysis (e.g., pearson correlation coefficients) is used to quantify the linear relationship between the two. The value of the correlation coefficient is between-1 and 1, and can represent the degree of correlation between two signals, 1 representing a complete positive correlation, -1 representing a complete negative correlation, and 0 representing no correlation.

Alternatively, the mean square error between the two signals, i.e. the average of the squares of the differences between each data point, is calculated. The smaller the MSE (mean square error) value, the more similar the two signals are.

Alternatively, a machine learning algorithm, such as a Convolutional Neural Network (CNN) or a Recurrent Neural Network (RNN), is used to learn the similarity pattern between the signals and to obtain the similarity of the two.

Therefore, the stimulation effect corresponding to the forward wave parameter can be quantitatively evaluated by using the potential prediction model and the similarity analysis, so that the evaluation is more objective and accurate and depends on subjective judgment. The prompt information can be automatically generated through the judgment of the first adjustment condition, the adjustment of the stimulation parameters is suggested, the manual intervention of the user is reduced, and the working efficiency of the user is improved.

As an example, when the potential prediction model is trained, the training process includes:

acquiring a training set, wherein the training set comprises a plurality of training data, each training data comprises a sample stimulation parameter set and corresponding marking data of a predicted potential result, and the predicted potential result comprises a plurality of predicted potential signals;

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

Inputting a sample stimulation parameter set in the training data into a preset deep learning model to obtain prediction data of a corresponding prediction potential result;

updating model parameters of the deep learning model based on the prediction data and the labeling data of the corresponding prediction potential result;

detecting whether a preset training ending condition is met; if yes, taking the trained deep learning model as the potential prediction model; if not, continuing to train the deep learning model by using the next training data.

Therefore, through designing, a proper amount of neuron computing nodes and a multi-layer operation hierarchical structure are established, a proper input layer and a proper output layer are selected, a preset deep learning model can be obtained, through learning and tuning of the deep learning model, a functional relation from input to output is established, although the functional relation between input and output cannot be found out by 100%, the functional relation can be as close to a real association relation as possible, the potential prediction model obtained through training can be obtained based on fault detection information, the corresponding reference fault processing result can be obtained, the application range is wide, and the accuracy and reliability of the computing result are high.

In some alternative embodiments, the embodiment of the present application may train to obtain the potential prediction model, and in other alternative embodiments, the present application may employ a pre-trained potential prediction model.

In some alternative embodiments, the historical data may be data mined, for example, to obtain a sample set of stimulation parameters in a training set, and so on.

The training process of the potential prediction model is not limited, and for example, the training mode of supervised learning, the training mode of semi-supervised learning or the training mode of unsupervised learning can be adopted.

The preset training ending condition is not limited, and for example, the training times can reach the preset times (the preset times are, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), or the training data in the training set can be all trained once or a plurality of times, or the total loss value obtained in the training is not more than the preset loss value.

As an example, the similarity calculation may be performed on the above information (the predicted potential signal set and the potential signal set) using a pre-trained similarity model to obtain a second similarity therebetween. The training method is similar to the potential prediction model, and will not be described again.

In some embodiments, the first set of potential signals includes a first potential signal acquired during a first predetermined period of time, and the means for acquiring potential similarities between the predicted set of potential signals and the set of potential signals includes:

The embodiment of the application does not limit the acquisition mode of the similarity of the first potential signal and each predicted potential signal in the predicted potential signal set, and can adopt the correlation analysis or the machine learning algorithm and the like.

Thus, by comparing the first potential signal with each predicted potential signal and selecting the highest similarity, the degree of matching of the first potential signal with the predicted potential signal can be determined more accurately. The matching degree determination process does not need manual intervention, can rapidly evaluate the similarity of potential signals, and is helpful for rapidly determining whether the stimulation result corresponding to the current forward wave parameter meets the first adjustment condition. By using similarity as a metric, the comparison can be made more objective and repeatable, reducing uncertainty in subjective judgment.

Referring to fig. 4, fig. 4 is a flow chart of another potential signal acquisition method according to an embodiment of the present application.

In some embodiments, the set of stimulation parameters further comprises a reverse wave parameter and a second interval period for indicating a length of time between a time when the reverse wave ends and a time when the next forward wave begins.

The method may further comprise:

step S106: after a first potential signal of the stimulation target is obtained, balancing charges of the stimulation target through reverse waves according to the stimulation parameter set;

step S107: and when the reverse wave is ended, acquiring a second potential signal of the stimulation target point in the second interval period.

In other embodiments, the step S106 may further be: before the first potential signal of the stimulation target is acquired, the charge of the stimulation target is balanced through reverse waves according to the stimulation parameter set.

Compared with the related art, the electric potential signal of the stimulation target point is obtained after a set of forward wave and backward wave is completed, in this embodiment, the second electric potential signal can be obtained before the forward wave starts, and the first electric potential signal can be obtained immediately after the forward wave ends.

The stimulation parameter set includes a forward wave parameter, a first interval period, a reverse wave parameter, and a second interval period. And acquiring a first potential signal of the stimulation target point in a first interval period, and then adjusting the charge balance of the stimulation target point by releasing reverse wave electric stimulation under the control of the reverse wave parameters. The reverse wave can restore or adjust the charge state of the stimulation target after the stimulation is finished, so as to meet the treatment requirement. And when the reverse wave is finished, acquiring a second potential signal of the stimulation target point in a second interval period. The second potential signal represents the potential state of the stimulation target after the adjustment of the reverse wave, and can be used for evaluating the adjustment effect of the reverse wave on the stimulation target.

Therefore, by using reverse waves to adjust charge balance, the physiological state of the stimulation target point can be ensured to be in an ideal state, so that a better treatment effect can be obtained. Meanwhile, the backward wave parameters can be adjusted according to actual needs so as to meet the requirements of different patients or treatment stages, and personalized treatment is facilitated. By respectively acquiring potential signals corresponding to the stimulation targets in the first and second interval periods, continuous monitoring of the change in stimulation effect can be achieved, which is helpful for timely knowing the effect of the treatment so as to make necessary adjustments.

With continued reference to fig. 4, in some embodiments, the method further comprises:

step S108: judging whether the stimulation results corresponding to the forward wave parameters and the backward wave parameters meet a second adjustment condition according to a second potential signal set;

step S109: and when the stimulation results corresponding to the forward wave parameters and the backward wave parameters meet a second adjustment condition, generating second prompt information, wherein the second prompt information is used for indicating that the forward wave parameters and the backward wave parameters need to be adjusted.

And acquiring at least one potential signal pair in a second preset period, wherein each potential signal pair consists of a first potential signal and a second potential signal, and the potential signal pair reflects the influence of the stimulation waveform on the stimulation target point. In a specific application, the potential signal pair comprises, for example, a first potential signal and two second potential signals acquired at close times thereof; for example comprising a second potential signal and two first potential signals acquired at close times thereof.

The second adjustment condition is, for example, a predefined therapeutic effect criterion for determining whether the stimulus has reached a desired therapeutic effect level. When the judging result shows that the forward wave parameter and the backward wave parameter need to be adjusted to meet the second adjusting condition, second prompting information is automatically generated to be used for guiding a user to carry out necessary parameter adjustment so as to improve the stimulation effect.

Therefore, the stimulation effect can be automatically detected in the treatment process, the manual intervention of a user is reduced, and particularly, once the stimulation effect does not meet the second adjustment condition, the second prompt information can be automatically sent to prompt that adjustment is needed. By acquiring and analyzing the second potential signal set, the continuous monitoring of the stimulation effect can be realized, the real-time discovery and correction of the problems in treatment can be facilitated, and the optimal treatment effect of the patient can be ensured. The forward wave parameter and the reverse wave parameter are adjusted according to the actual potential signal data (the first potential signal and the second potential signal), so that more personalized treatment can be realized, and the unique physiological response and treatment requirements of each patient can be met.

In some embodiments, the product of the reverse voltage and the reverse time corresponding to the reverse wave is not less than the charge energy of the electrical stimulus corresponding to the forward wave parameter.

Specifically, the reverse voltage, reverse time, and charge energy satisfy the following relationship: ut is greater than or equal to Q. Wherein Q represents the charge energy of the electrical stimulus corresponding to the forward wave parameter, U represents the reverse voltage, and t represents the reverse time.

The reverse wave may generate enough charge to balance the charge of the forward wave to maintain charge neutral balance. If the reverse voltage and reverse time product of the reverse wave is insufficient to balance the charge energy of the forward wave, parameters of one or both of the reverse voltage and reverse time may be adjusted to ensure a charge neutral balance.

Therefore, the reverse wave is ensured to generate enough charges to balance the forward wave, so that the electric neutrality of the stimulation target point is maintained, and the safety of a patient is improved. If the reverse wave is unable to balance the charge of the forward wave, charge may accumulate at the stimulation target, resulting in adverse effects or tissue damage that can be avoided by ensuring charge balance.

Referring to fig. 5, fig. 5 is a schematic flow chart of another potential signal acquisition method according to an embodiment of the present application.

In some embodiments, the method may further comprise:

step S110: acquiring a third potential signal set, wherein the third potential signal set comprises a plurality of first potential signals which are acquired recently and continuously;

Step S111: judging whether the first interval period needs to be adjusted according to an abnormal detection result obtained by detecting the abnormal value of the third potential signal set;

step S112: and generating interval adjustment information when the abnormality detection result indicates that the first interval period needs to be adjusted.

Outlier detection may be an existing data analysis method for identifying outliers or unusual values in a dataset. According to the abnormality detection result, it can be judged whether the first interval period needs to be adjusted. If the anomaly detection result indicates that there is an anomaly or unusual signal in the first set of potential signals, it may be necessary to adjust the first interval period to improve the stimulation effect. The interval adjustment information is generated when the abnormality detection result indicates that the first interval period needs to be adjusted, and may be used to indicate that the patient needs to make an adjustment of the first interval time.

By detecting the abnormal value of the third potential signal set, abnormal stimulation effect or abnormal data can be timely identified, and potential problems can be found. The abnormal detection and the generation of the interval adjustment information can feed back the change of the stimulation effect in real time, and help users to continuously optimize the stimulation parameters in the treatment process. Whether the first interval period needs to be adjusted is automatically judged, so that manual intervention of a user is reduced, and the degree of automation is improved.

Wherein, the outlier detection may include the steps of:

and a data collection step of acquiring a third potential signal set composed of 10 first potential signals acquired in succession recently to respectively represent the time-series potential values at different time points.

The outlier detection step may include any one of a box map detection, a distance-based detection, or a time-series outlier detection.

Wherein, the box diagram detection means that data points located outside the box diagram are identified by drawing the box diagram of the data, and the points are regarded as abnormal values.

Distance-based detection refers to a distance-based outlier detection method (e.g., LOF, KNN, etc.) that determines anomalies by calculating the distance between a data point and its nearest neighbor.

The time-series abnormality detection refers to detection of abnormality using, for example, a smoothing technique and a statistical model for the above-described time-series data (potential value).

Judging whether the first interval period is required to be adjusted or not according to the abnormal detection result. For example, if the abnormal first potential signal is greater than a predetermined number or if the abnormal first potential signal is greater than a predetermined ratio, the detection result is considered to indicate an abnormality, and the setting of the first interval period needs to be re-evaluated.

In a specific application scenario, the embodiment of the application also provides a potential signal acquisition method, which comprises the following steps:

Inputting the stimulation parameter set into a potential prediction model to obtain a predicted potential signal set consisting of a plurality of predicted potential signals; the first potential signal set comprises one or more first potential signal sets acquired in a first preset period;

when the potential similarity is not higher than a preset similarity, determining that a stimulation result corresponding to the forward wave parameter meets a first adjustment condition;

When the stimulation result corresponding to the forward wave parameter meets a first adjustment condition, generating first prompt information, wherein the first prompt information is used for indicating that the forward wave parameter needs to be adjusted.

Inputting the stimulation parameter set into a potential prediction model to obtain a predicted potential signal set consisting of a plurality of predicted potential signals; the first potential signal set comprises a first potential signal acquired in a first preset period;

according to the predicted potential signal set and the potential signal set, comparing a first potential signal in the first potential signal set with each predicted potential signal in the predicted potential signal set respectively to obtain the similarity between the first potential signal in the first potential signal set and each predicted potential signal, and taking the highest similarity in a plurality of similarities corresponding to the first potential signal in the first potential signal set as the potential similarity;

In a specific application scenario, the stimulation parameter set further includes a backward wave parameter and a second interval period, where the second interval period is used to indicate a time length between a time point when the backward wave ends and a time point when the next forward wave begins; the second potential signal set comprises at least one potential signal pair consisting of a first potential signal and a second potential signal, which is acquired in a second preset period, and the product of the reverse voltage corresponding to the reverse wave and the reverse time is not smaller than the charge energy of the electric stimulation corresponding to the forward wave parameter.

The embodiment of the application also provides another potential signal acquisition method, which comprises the following steps:

when the electric stimulation release corresponding to the forward wave parameter is finished, acquiring a first potential signal of the stimulation target point in the first interval period;

when the reverse wave is finished, acquiring a second potential signal of the stimulation target point in the second interval period;

and when the stimulation results corresponding to the forward wave parameters and the backward wave parameters meet a second adjustment condition, generating second prompt information, wherein the second prompt information is used for indicating that the forward wave parameters and the backward wave parameters need to be adjusted.

Referring to fig. 6, fig. 6 is a schematic diagram of stimulation and acquisition based on a set of stimulation parameters according to an embodiment of the present application.

As one example, the first interval period for (first) potential signal acquisition is T1, between the time when the forward wave ends and the time when the next backward wave starts.

Referring to fig. 7a, fig. 7a is a schematic diagram of another embodiment of the present application for stimulating and collecting based on a set of stimulation parameters.

As another example, the first interval period for (first) potential signal acquisition is T1, between the time when the forward wave ends and the time when the next backward wave starts; the second interval period for (second) potential signal acquisition is T2 between the time when the backward wave ends and the time when the next forward wave starts.

Fig. 7b, fig. 7b is a schematic diagram of yet another embodiment of the present application for stimulating and collecting based on a set of stimulation parameters.

As yet another example, the first interval period for (first) potential signal acquisition is T1, between the time when the forward wave ends and the time when the next backward wave starts; the second interval period for (second) potential signal acquisition is T2 between the time when the backward wave ends and the time when the next forward wave starts.

Apparatus embodiments.

The embodiment of the application provides a potential signal acquisition device of a medical system, the specific implementation mode of the potential signal acquisition device 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 repeated.

The potential signal acquisition device comprises a memory storing a computer program and at least one processor configured to implement the following steps when executing the computer program:

In some embodiments, the at least one processor is further configured to implement the following steps when executing the computer program:

In some embodiments, the at least one processor is configured to determine, when executing the computer program, whether the stimulation result corresponding to the forward wave parameter satisfies a first adjustment condition by:

In some embodiments, the first set of potential signals comprises one first potential signal acquired within a first preset period of time, the at least one processor being configured to acquire potential similarities between the predicted set of potential signals and the set of potential signals when executing the computer program by:

In some embodiments, the set of stimulation parameters further comprises a reverse wave parameter and a second interval period for indicating a length of time between a time when the reverse wave ends and a time when the next forward wave begins; the at least one processor is further configured to implement the following steps when executing the computer program:

Referring to fig. 8, fig. 8 is a block diagram of a potential signal acquisition apparatus according to an embodiment of the present application.

The potential signal acquisition device 10 may for example comprise at least one memory 11, at least one processor 12 and a bus 13 connecting the different platform systems.

Memory 11 may include (computer) readable media in the form of volatile memory, such as Random Access Memory (RAM) 111 and/or cache memory 112, and may further include Read Only Memory (ROM) 113.

The memory 11 also stores a computer program executable by the processor 12 to cause the processor 12 to implement the steps of any of the methods described above.

Memory 11 may also include utility 114 having at least one program module 115, such program modules 115 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Accordingly, the processor 12 may execute the computer programs described above, as well as may execute the utility 114.

The processor 12 may employ one or more application specific integrated circuits (ASICs, application Specific Integrated Circuit), programmable logic devices (PLDs, programmable Logic Device), complex programmable logic devices (CPLDs, complex Programmable Logic Device), field programmable gate arrays (FPGAs, field-Programmable Gate Array), or other electronic components.

Bus 13 may be a local bus representing one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or any of a variety of bus architectures.

The potential signal collecting device 10 may also communicate with one or more external devices, such as a keyboard, pointing device, bluetooth device, etc., as well as with one or more devices capable of interacting with the potential signal collecting device 10, and/or with any device (e.g., router, modem, etc.) that enables the potential signal collecting device 10 to communicate with one or more other computing devices. Such communication may be via the input-output interface 14. Also, the potential signal collecting apparatus 10 may 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 15. The network adapter 15 can communicate with other modules of the potential signal collecting apparatus 10 via the bus 13. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the potential signal acquisition device 10 in practical applications, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage platforms, and the like.

System embodiments.

Referring to fig. 9, fig. 9 is a block diagram of a medical system according to an embodiment of the present application.

An embodiment of the present application provides a medical system including:

the potential signal acquisition device is described in the method embodiment.

The specific implementation mode of the potential signal acquisition device is consistent with the implementation mode recorded in the implementation mode of the device and the achieved technical effect, and part of the content is not repeated.

In some embodiments, the stimulator includes:

Computer-readable storage medium embodiments.

The embodiment of the application also provides a computer readable storage medium, and the specific embodiment of the computer readable storage medium is consistent with the embodiment recorded in the method embodiment and the achieved technical effect, and part of the contents are not repeated.

The computer readable storage medium stores a computer program which, when executed by at least one processor, performs the steps of any of the methods or performs the functions of any of the devices described above.

The computer readable medium may be a computer readable signal medium or a computer readable storage medium. In embodiments of the present application, a computer 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 computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a 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), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable storage medium may also be any computer readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer 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 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 programming 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 remote computing devices, 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., connected via the Internet using an Internet service provider).

Computer program product embodiments.

The embodiment of the application also provides a computer program product, the specific embodiment of which is consistent with the embodiment described in the method embodiment and the achieved technical effect, and part of the contents are not repeated.

Referring to fig. 10, fig. 10 is a schematic structural diagram of a computer program product according to an embodiment of the present application.

The computer program product comprises a computer program which, when executed by at least one processor, implements the steps of any of the methods described above or implements the functions of any of the potential signal acquisition devices described above.

The computer program product may employ a portable compact disc read only memory (CD-ROM) and comprise program code and may run on a terminal device, such as a personal computer. However, the computer program product of the present application is not limited thereto, and the computer program product may employ any combination of one or more computer readable media.

In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). 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 or a and b and c, wherein a, b and c can be single or multiple. It is noted that "at least one" may also be interpreted as "one (a) or more (a)". Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The present application has been described in terms of its purpose, performance, advancement, and novelty, and the like, and is thus adapted to the functional enhancement and use requirements highlighted by the patent statutes, but the description and drawings are not limited to the preferred embodiments of the present application, and therefore, all equivalents and modifications that are included in the construction, apparatus, features, etc. of the present application shall fall within the scope of the present application.

Claims

1. A potential signal acquisition device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program:

2. The potential signal acquisition device of claim 1, wherein the at least one processor is further configured to implement the following steps when executing the computer program:

3. The potential signal acquisition device of claim 2, wherein the at least one processor is configured to determine, when executing the computer program, whether the stimulus results corresponding to the forward wave parameters satisfy a first adjustment condition by:

4. A potential signal collecting device according to claim 3, wherein the first set of potential signals comprises one first potential signal acquired within a first preset period of time, the at least one processor being configured to acquire potential similarities between the predicted set of potential signals and the set of potential signals when executing the computer program in the following manner:

5. The potential signal acquisition device according to claim 1, wherein the stimulation parameter set further includes a reverse wave parameter and a second interval period for indicating a time length between a time point at which the reverse wave ends and a time point at which the next forward wave starts; the at least one processor is further configured to implement the following steps when executing the computer program:

6. The potential signal acquisition device of claim 5, wherein the at least one processor is further configured to implement the following steps when executing the computer program:

7. The potential signal collecting apparatus according to claim 5, wherein a product of a reverse voltage and a reverse time corresponding to the reverse wave is not less than a charge energy of the electrical stimulus corresponding to the forward wave parameter.

8. The potential signal acquisition device of claim 1, wherein the at least one processor is further configured to implement the following steps when executing the computer program:

9. A method of potential signal acquisition, the method comprising:

10. The potential signal acquisition method according to claim 9, wherein the stimulation parameter group further includes a reverse wave parameter and a second interval period for indicating a time length between a time point at which the reverse wave ends and a time point at which the next forward wave starts; the method further comprises the steps of:

11. The potential signal acquisition method according to claim 9, characterized in that the method further comprises:

12. A medical system, the medical system comprising:

the potential signal collecting apparatus according to any one of claims 1 to 8.

13. The medical system of claim 12, wherein the stimulator comprises:

14. The medical system of claim 12, wherein the stimulator comprises:

15. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by at least one processor, implements the functions of the potential signal collecting device of any of claims 1-8, or implements the steps of the method of any of claims 9-11.