WO2023000788A1 - Parameter comparison method and apparatus, electronic device, and computer readable storage medium - Google Patents

Abstract

The present application provides a parameter comparison method and apparatus, an electronic device, and a computer readable storage medium. The apparatus comprises: a configuration obtaining module used for obtaining historical configuration information of a target patient, the historical configuration information comprising multiple pieces of single configuration information; a selection receiving module used for receiving selection operation on at least two pieces of single configuration information; an information determining module used for determining the at least two pieces of single configuration information as parameter comparison information of the target patient in response to the selection operation; and a comparison display module used for controlling, on the basis of the parameter comparison information, a display device to display a parameter comparison table and/or a parameter comparison graph of the target patient, the parameter comparison graph comprising one or more of the following: a 2D parameter comparison graph and a 3D parameter comparison graph. According to the present application, a doctor can know the change trend of stimulation parameters corresponding to the target patient.

Description

Parameter comparison method, device, electronic equipment, and computer-readable storage medium

This application claims the priority of the Chinese patent with application number 202110820704.3 filed on July 20, 2021, which is incorporated by reference in its entirety.

technical field

The present application relates to the technical field of data processing, in particular to a parameter comparison method, device, electronic equipment and computer-readable storage medium.

Background technique

When programming the patient, the doctor uses the corresponding equipment to set the stimulation parameters. However, the data related to the stimulation parameters generated during each programming process is not effectively used, and the doctor does not have the corresponding stimulation parameters as a reference when setting the stimulation parameters.

Contents of the invention

The purpose of this application is to provide a parameter comparison method, device, electronic equipment, and computer-readable storage medium, so that doctors can understand the change trend of stimulation parameters corresponding to target patients.

In a first aspect, the present application provides a parameter comparison method applied to electronic equipment, the method comprising: acquiring historical configuration information of a target patient, the historical configuration information including a plurality of single configuration information, the single The configuration information includes at least one stimulus parameter identifier and a parameter value corresponding to each stimulus parameter identifier; receiving a selection operation on at least two single configuration information; in response to the selection operation, determining the at least two single configuration information as The parameter comparison information of the target patient; based on the parameter comparison information, the control display device displays the parameter comparison table and/or parameter comparison graph of the target patient, and the parameter comparison graph includes the following one or Various: 2D parameter comparison graphics and 3D parameter comparison graphics.

In a possible implementation manner, the method further includes: when it is detected that the parameter comparison information satisfies a preset condition, generating prompt information and sending the prompt information to the doctor's equipment, and the preset condition uses Indicating at least one of the following situations: the difference between the parameter values identified by the same stimulation parameter in the at least two single configuration information is greater than the preset difference threshold; the parameter value identified by at least one stimulation parameter in the at least one single configuration information It is not in the preset range of parameter values corresponding to the stimulus parameter identification.

In a possible implementation manner, when it is detected that the parameter comparison information satisfies the preset condition, generating prompt information and sending the prompt information to the doctor equipment includes: for the parameter comparison information Calculate the parameter values corresponding to the target stimulation parameter identifiers of every two single configuration information to obtain at least one comparison value; when the maximum value of the at least one comparison value is greater than the preset threshold value corresponding to the target stimulation parameter identifier , generating prompt information and sending the prompt information to the doctor device, where the prompt information includes the target stimulation parameter identifier.

In a possible implementation manner, the single configuration information further includes stimulation application time; the calculation is performed on the parameter value corresponding to the target stimulation parameter identifier of every two single configuration information in the parameter comparison information, Obtaining at least one comparison value includes: determining that the single configuration information in the parameter comparison information whose stimulation application time is within the preset stimulation application time range is the information to be compared; when the single configuration information in the information to be compared When the number is at least two, calculation is performed on the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the information to be compared to obtain the at least one comparison value.

In a possible implementation manner, when it is detected that the parameter comparison information satisfies the preset condition, generating prompt information and sending the prompt information to the doctor's equipment further includes: obtaining the corresponding parameter based on the target comparison value. The difference between the stimulus application time of the two single configuration information, the target comparison value is one of the at least one comparison value; when the ratio of the target comparison value to the difference is greater than the preset When the ratio is determined, prompt information is generated and sent to the doctor's equipment.

In a possible implementation manner, the method further includes: acquiring reference configuration information.

In a possible implementation manner, the acquiring reference configuration information includes: performing the following processing based on each stimulus parameter identifier of all single configuration information in the parameter comparison information: calculating the stimulus parameter identifier corresponding to An average value of all parameter values, using the average value as a parameter value corresponding to the stimulation parameter identifier of the reference configuration information.

In a possible implementation manner, the obtaining reference configuration information includes: obtaining training data of multiple sample objects, where the training data of each sample object includes parameter comparison information and configuration information; according to the multiple sample objects Using the training data of the deep neural network to obtain a parameter configuration model; inputting the parameter comparison information of the target patient into the parameter configuration model to obtain the configuration information of the target patient as the reference configuration information.

In a second aspect, the present application provides a parameter comparison device, which is applied to electronic equipment. The device includes: a configuration acquisition module, configured to acquire historical configuration information of a target patient, and the historical configuration information includes multiple single configurations Information, the single configuration information includes at least one stimulation parameter identification and the parameter value corresponding to each stimulation parameter identification; the selection receiving module is used to receive the selection operation on at least two single configuration information; the information determination module is used to In response to the selection operation, determine the at least two single configuration information as parameter comparison information of the target patient; a comparison display module, configured to control a display device to display the target based on the parameter comparison information The patient's parameter comparison table and/or parameter comparison graph, the parameter comparison graph includes one or more of the following: 2D parameter comparison graph and 3D parameter comparison graph.

In a possible implementation manner, the apparatus further includes: a prompt generation module, configured to generate prompt information and send the prompt information to the doctor equipment when it is detected that the parameter comparison information meets a preset condition, The preset condition is used to indicate at least one of the following situations: the difference between the parameter values identified by the same stimulation parameter of the at least two single configuration information is greater than the preset difference threshold; at least one of the at least one single configuration information The parameter value identified by the stimulus parameter is not in the preset range of the parameter value corresponding to the stimulus parameter ID.

In a possible implementation manner, the prompt generation module includes: a comparison value unit, configured to calculate the parameter value corresponding to the target stimulus parameter identifier of every two single configuration information in the parameter comparison information, Obtaining at least one comparison value; a first generation unit, configured to generate prompt information and send the prompt information when the maximum value of the at least one comparison value is greater than the preset threshold corresponding to the target stimulus parameter identifier To the doctor's equipment, the prompt information includes the target stimulation parameter identifier.

In a possible implementation manner, the single configuration information also includes a stimulus application time; the comparison value unit includes: a subunit to be compared, configured to determine that the stimulus application time in the parameter comparison information is within a preset The single configuration information of the stimulation application time range is the information to be compared; the calculation subunit is used to calculate for every two of the information to be compared when the number of single configuration information in the information to be compared is at least two The parameter value corresponding to the target stimulation parameter identifier of the single configuration information is calculated to obtain the at least one comparison value.

In a possible implementation manner, the prompt generation module further includes: a target comparison value unit, configured to obtain the difference between the stimulus application times of two corresponding single configuration information based on the target comparison value, the target The comparison value is one of the at least one comparison value; the second generating unit is configured to generate prompt information and send the prompt when the ratio of the target comparison value to the difference is greater than a preset ratio The information is sent to the doctor's device.

In a possible implementation manner, the device further includes: a reference configuration module, configured to acquire reference configuration information.

In a possible implementation manner, the reference configuration module is configured to: perform the following processing based on each stimulus parameter identifier of all single configuration information in the parameter comparison information: calculate all stimulus parameter identifiers corresponding to the stimulus parameter identifier An average value of parameter values, using the average value as a parameter value corresponding to the stimulation parameter identifier of the reference configuration information.

In a possible implementation manner, the reference configuration module includes: a training data unit, configured to acquire training data of a plurality of sample objects, and the training data of each sample object includes parameter comparison information and configuration information; a model training unit , for training with a deep neural network according to the training data of the plurality of sample objects to obtain a parameter configuration model; a configuration information unit for inputting the parameter comparison information of the target patient into the parameter configuration model to obtain The configuration information of the target patient is used as the reference configuration information.

In a third aspect, the present application provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above-mentioned methods are implemented.

Using the parameter comparison method, device, electronic equipment and computer-readable storage medium provided by this application has at least the following advantages:

Reasonable use of historical configuration information can be used to obtain parameter comparison information based on historical configuration information, so that doctors can understand the changing trend of stimulation parameters corresponding to target patients; on the one hand, this application does not limit the selection method of single configuration information, and can Randomly select at least two single configuration information from the historical configuration information as the parameter comparison information of the target patient. The parameter comparison information can be part or all of the historical configuration information. When the parameter comparison information is all the historical configuration information, it can be Reflect the change trend of the stimulation parameters corresponding to the target patient as a whole. When the parameter comparison information is part of the historical configuration information, for example, it is the single configuration information corresponding to the last 5 electrical stimulations applied to the target patient. Generally speaking, the actual In the application, more attention is paid to the recent single configuration information, which can reduce the amount of data calculation while meeting the requirements of comparison, and has a high degree of intelligence; on the other hand, the display device can be used to display parameters in the form of tables and/or graphics Compare information and display the comparison results in a digital way, the presentation effect is more vivid and intuitive, which improves the user experience.

Description of drawings

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

Fig. 1 is a schematic flow chart of a parameter comparison method provided in the embodiment of the present application;

Fig. 2 is a schematic flow chart of another parameter comparison method provided by the embodiment of the present application;

FIG. 3 is a schematic flow diagram of generating prompt information provided by an embodiment of the present application;

Fig. 4 is a schematic flow chart for obtaining at least one comparison value provided by the embodiment of the present application;

Fig. 5 is another schematic flow diagram of generating prompt information provided by the embodiment of the present application;

Fig. 6 is a partial flowchart of a parameter comparison method provided in the embodiment of the present application;

FIG. 7 is a schematic flow diagram of obtaining reference configuration information provided by an embodiment of the present application;

Fig. 8 is a schematic structural diagram of a parameter comparison device provided in an embodiment of the present application;

Fig. 9 is a schematic structural diagram of another parameter comparison device provided in the embodiment of the present application;

FIG. 10 is a schematic structural diagram of a prompt generation module provided by an embodiment of the present application;

Fig. 11 is a schematic structural diagram of a comparison value unit provided in the embodiment of the present application;

Fig. 12 is a schematic structural diagram of another prompt generation module provided by the embodiment of the present application;

Fig. 13 is a partial structural schematic diagram of a parameter comparison device provided in an embodiment of the present application;

Fig. 14 is a schematic structural diagram of a reference configuration module provided by an embodiment of the present application;

Fig. 15 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

Fig. 16 is a schematic structural diagram of a program product for implementing a parameter comparison method provided by an embodiment of the present application.

detailed description

In the following, the present application will be further described in conjunction with the accompanying drawings and specific implementation methods.

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)".

It should be noted that, on the premise of no conflict, the various embodiments or technical features described below can be combined arbitrarily to form new embodiments.

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.

Referring to FIG. 1 , FIG. 1 is a schematic flowchart of a parameter comparison method provided by an embodiment of the present application. The embodiment of the present application provides a parameter comparison method applied to electronic devices, and the method includes steps S101 to S104.

Step S101: Obtain the historical configuration information of the target patient, the historical configuration information includes a plurality of single configuration information, and the single configuration information includes at least one stimulation parameter identifier and a parameter value corresponding to each stimulation parameter identifier.

The implantable neurostimulation system mainly includes a stimulator implanted in the body and a program-controlled device 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. 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 (I mplantable Drug Delivery System, referred to as IDDS) and a wire. Any one of the switching 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), etc.

The stimulator can include IPG, extension wires and electrode wires. IPG (implantable pulse generator, implantable pulse generator) is set in the patient's body, and relies on sealed batteries and circuits to provide controllable electrical stimulation energy to biological tissues. The extended lead wire and electrode lead wire inserted can provide one or two controllable specific electric stimulation energy for the specific area of the biological tissue. 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. The electrode lead releases the electrical stimulation signal generated by IPG to a specific area of the biological tissue through multiple electrode contacts; the implantable medical device has one or more electrode leads on one or both sides, The electrode wires are provided with a plurality of electrode contacts, 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 are 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 biological tissue may be the patient's brain tissue, and the stimulated part 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. This 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 disorder, autism, or other neurological or psychiatric conditions and impairments. When DBS is used to treat patients with drug addiction, it can help drug addicts detoxify and improve their well-being and quality of life.

The stimulator in this application is described by taking the deep brain stimulator (DBS) as an example. 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 electrical stimulation signal of the stimulator, or the stimulator can sense The bioelectric activity in the deep brain of the patient can be measured, and the stimulation parameters of the electrical stimulation signal of the stimulator can be adjusted continuously through the sensed bioelectric activity.

Stimulation parameters may include one or more 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 expressed by voltage, that is, the intensity of each pulse, the unit is V), stimulation mode (including one or more of current mode, voltage mode, timed stimulation mode and cycle stimulation mode) and upper and lower limits of patient control (the patient can range of self-regulation).

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

Wherein, the stimulus parameter identification can be represented by at least one of Chinese characters, letters, numbers, symbols and special symbols. For example "A01", "Amplitude", or "#01".

In a specific application, the single configuration information is, for example: the frequency is 130 Hz, the pulse width is 60 μs, and the amplitude is 3 V.

In some possible manners, the step S101 may include: receiving an input operation, and obtaining the historical configuration information of the target patient in response to the input operation; or, using a data interface to import the historical configuration information of the target patient. Thus, the doctor can choose an appropriate way to obtain the historical configuration information.

Step S102: Receive a selection operation on at least two single configuration information. Wherein, the at least two pieces of single-time configuration information are, for example, 2 pieces of single-time configuration information, 3 pieces of single-time configuration information or 5 pieces of single-time configuration information, and one piece of single-time configuration information will be generated in each program control process.

In a specific application, the doctor programmed the target patient three times from June to September, and performed the first program control on the target patient in June, and obtained a single configuration information; in July, the target patient was programmed In the second program control, a single configuration information was obtained; in September, the third program control was performed on the target patient, and a single configuration information was obtained.

In a specific application, the at least two single-time configuration information may be single-time configuration information corresponding to the latest N times of electrical stimulation applied to the target patient, where N is, for example, a positive integer such as 2, 3, 4, 5, etc.

Step S103: In response to the selection operation, determine the at least two single configuration information as the parameter comparison information of the target patient.

Step S104: Based on the parameter comparison information, control the display device to display the parameter comparison table and/or parameter comparison graph of the target patient, and the parameter comparison graph includes one or more of the following: 2D parameter comparison Graphics and 3D parameter comparison graphics. The application does not limit the form of the parameter comparison graph, and the form of the parameter comparison graph may include one or more of the following: pie chart, curve chart, waveform chart, column chart and bar chart.

Therefore, on the one hand, the historical configuration information can be reasonably used to obtain parameter comparison information based on the historical configuration information, so that doctors can understand the changing trend of the stimulation parameters corresponding to the target patient; Restricted, according to actual needs, at least two single configuration information can be arbitrarily selected from the historical configuration information as the parameter comparison information of the target patient. The parameter comparison information can be part or all of the historical configuration information. When the parameter comparison information is all When the historical configuration information is used, it can reflect the change trend of the stimulation parameters corresponding to the target patient as a whole. When the parameter comparison information is part of the historical configuration information, for example, it is the single configuration information corresponding to the last 5 electrical stimulations applied to the target patient. , generally speaking, in practical applications, more attention is paid to the recent single configuration information, which can reduce the amount of data calculation while meeting the requirements of comparison, and has a high degree of intelligence; on the other hand, the display device can be used to form and/or The parameter comparison information can be displayed in the form of graphics or graphics, and the comparison results can be displayed digitally. The presentation effect is more vivid and intuitive, which improves the user experience.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of another parameter comparison method provided by the embodiment of the present application. In some possible manners, the method may further include step S105 .

Step S105: When it is detected that the parameter comparison information satisfies a preset condition, generating prompt information and sending the prompt information to the doctor device, the preset condition is used to indicate at least one of the following situations: the at least two The difference degree of the parameter value of the same stimulation parameter identification of a single configuration information is greater than the preset difference degree threshold; the parameter value of at least one stimulation parameter identification of at least one single configuration information is not in the parameter value preset range of the corresponding stimulation parameter identification .

The doctor's equipment is, for example, a mobile phone, a tablet computer, a notebook computer, a desktop computer, and a smart wearable device, etc.

The stimulus parameter identification may include amplitude and frequency, and the parameter value of amplitude and the parameter value of frequency in the parameter comparison information may be compared respectively.

When the comparison target is the parameter value of the magnitude of the parameter comparison information, the difference can be the difference of the parameter value of the magnitude, and the preset difference threshold is, for example, 2V; the difference can also be the difference of the parameter value of the magnitude Ratio, the preset difference threshold is, for example, 3.

The preset range of the parameter value of the amplitude is, for example, 3V-4V.

When the number of the at least two single-time configuration information is two, the degree of difference between the two single-time configuration information is used as the degree of difference between the at least two single-time configuration information; the at least two single-time configuration information When the number of information is more than two, one of the single configuration information is used as a benchmark, compared with other single configuration information one by one to obtain multiple degrees of difference, and the largest difference degree is taken as the at least two single configurations difference in information.

Therefore, when the parameter comparison information satisfies the preset condition, there is a situation where the change between two single-time configuration information fluctuates too much or at least one single-time configuration information is abnormal, and the prompt information can be sent to the doctor device at this time , so that the doctor can know the abnormal situation of the configuration information of the target patient in time.

Referring to FIG. 3 , FIG. 3 is a schematic flowchart of generating prompt information provided by an embodiment of the present application. In some possible manners, the step S105 may include steps S201-S202.

Step S201: Calculate the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the parameter comparison information, to obtain at least one comparison value.

In a specific application, the calculation method for obtaining at least one comparison value is, for example, the calculation of the difference or the calculation of the ratio.

Step S202: When the maximum value of the at least one comparison value is greater than the preset threshold corresponding to the target stimulation parameter identifier, generate prompt information and send the prompt information to the doctor device, the prompt information includes the Target stimulus parameter identification.

For example: the parameter comparison information includes 3 single configuration information, namely the first configuration information to the third configuration information, the target stimulation parameter is identified as pulse width, the preset threshold corresponding to the pulse width is 20μs, the first configuration information to The parameter values of the pulse width of the third configuration information are: 50μs, 60μs and 80μs in turn, and the difference calculation is performed for the parameter values corresponding to the pulse width, and three comparison values (take the absolute value) are obtained, which are 10μs, 30μs and 20μs, respectively. The maximum value of the three comparison values is greater than the preset threshold corresponding to the pulse width. At this time, prompt information can be generated and sent to the doctor's equipment, and the prompt information includes pulse width.

In a specific application, the prompt information may further include an identifier of the target patient and/or an identifier of the stimulator. In this way, the doctor can know the corresponding target patient and/or the corresponding stimulator when the configuration information is abnormal.

Thus, calculation can be performed on the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the parameter comparison information to obtain at least one comparison value. When the maximum value of these comparison values is greater than the target stimulus parameter identifier When the corresponding preset threshold is reached, it means that there are two single configuration information with too large difference in the parameter comparison information, and there may be abnormal parameter settings. At this time, the prompt information can be sent to the doctor's device so that the doctor can know in time The configuration information of the target patient is abnormal.

In addition, the step S105 may include:

Calculating the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the parameter comparison information to obtain at least one comparison value;

When the minimum value of the at least one comparison value is less than the preset threshold value corresponding to the target stimulation parameter identification, generate prompt information and send the prompt information to the doctor equipment, the prompt information includes the target stimulation parameter logo.

Referring to FIG. 4, FIG. 4 is a schematic flow chart for obtaining at least one comparison value provided by the embodiment of the present application. In some possible ways, the single configuration information may also include the stimulation application time; the step S201 may be It includes steps S301-S302.

Step S301: Determine the single configuration information in the parameter comparison information whose stimulation application time is within the preset stimulation application time range as the information to be compared. The preset stimulus application time range is, for example, 9:00-9:30, 10:00-10:30 or 12:00-12:30.

Step S302: When the number of single configuration information in the information to be compared is at least two, calculate the parameter value corresponding to the target stimulus parameter identifier of every two single configuration information in the information to be compared, and obtain The at least one comparison value.

Generally speaking, for patients, the physical state will not change much at the same time every day, for example, 8:00-8:30, get up; 9:00-9:30, eat breakfast; 12 :00-12:30, eat lunch; 18:00-18:30, after eating; 19:00-20:00, exercise; 22:00-23:00, get ready for sleep.

The single configuration information in the (same) preset stimulus application time range is used as the information to be compared (the patient's physical state is basically unchanged), so that the information to be compared will not be affected by the patient's physical state, and there is a greater reference value.

Therefore, generally speaking, in practical applications, more attention is paid to the difference between the single configuration information with the stimulus application time in the same range, and the single configuration information with the stimulus application time in the parameter comparison information within the preset stimulus application time range can be compared. The configuration information is used as the information to be compared, and the calculation is performed on the information to be compared, and the comparison value thus obtained can reflect the degree of difference between the single configuration information within the preset stimulus application time range, which meets the needs of practical applications.

In addition, the step S201 may include: using a stimulator to collect the EEG signal of the target patient, and determining the state type of the target patient based on the EEG signal of the target patient;

Determining that the single configuration information whose state type is in the preset state type in the parameter comparison information is the information to be compared;

When the number of single configuration information in the information to be compared is at least two, calculate the parameter value corresponding to the target stimulus parameter identifier of every two single configuration information in the information to be compared, and obtain the at least a comparison value.

The state type can be, for example, any of the following: sleeping, eating, taking medicine, and exercising.

Referring to FIG. 5 , FIG. 5 is another schematic flow chart of generating prompt information provided by the embodiment of the present application. In some possible manners, the step S105 may further include steps S401-S402.

Step S401: Obtain the difference between the stimulus application times of two corresponding single configuration information based on a target comparison value, the target comparison value being one of the at least one comparison value.

Step S402: When the ratio of the target comparison value to the difference is greater than a preset ratio, generate prompt information and send the prompt information to the doctor device.

The target comparison value is obtained by calculating the difference or ratio of the parameter values corresponding to the target stimulus parameter identifiers of the two single configuration information. The difference is the difference between the stimulus application time of the two single configuration information. The target ratio The ratio of the pair value to the difference value can reflect the speed of change of the parameter value. When evaluating the effectiveness of stimulation, doctors should pay attention not only to the ratio/difference of parameter values of relevant stimulation parameters, but also to the speed of change of parameter values.

The target comparison value is, for example, 10 μs, 30 μs or 20 μs, the difference between the stimulus application time of the corresponding two single configuration information is, for example, 30 min, 60 min or 90 min, and the preset ratio is, for example, 0.5 μs/min, 0.6 μs/min or 0.8μs/min.

Therefore, when the ratio of the target comparison value to the difference in the stimulation application time of the corresponding two single configuration information is greater than the preset ratio, it means that the parameter value corresponding to the target stimulation parameter identification of the target patient changes and fluctuates in a short period of time Larger, the target patient tends to develop tolerance to the stimulus in this situation. At this time, the prompt information can be sent to the doctor's device, so that the doctor can understand the relevant situation of the target patient in time, so as to take corresponding measures to prevent the target patient from developing tolerance to the stimulus .

Referring to FIG. 6 , FIG. 6 is a partial flow diagram of a parameter comparison method provided in an embodiment of the present application. In some possible manners, the method may further include step S106 .

Step S106: Obtain reference configuration information.

Therefore, the parameter comparison information can be used as a reference to obtain the reference configuration information, and the reference configuration information thus obtained is more scientific and reasonable.

In some possible manners, the step S106 may include: based on each stimulus parameter identifier of all single configuration information in the parameter comparison information, perform the following processing: calculate the value of all parameter values corresponding to the stimulus parameter identifier An average value, using the average value as a parameter value corresponding to the stimulation parameter identifier of the reference configuration information.

Thus, the average value of all parameter values corresponding to a certain stimulus parameter identifier can be calculated, and the average value can be used as the parameter value corresponding to the stimulus parameter identifier of the reference configuration information, and the corresponding parameter value of the reference configuration information determined thus will not Too high or too low is more reasonable.

Referring to FIG. 7 , FIG. 7 is a schematic flowchart of obtaining reference configuration information provided by an embodiment of the present application. In some possible manners, the step S106 may include steps S501 - S503 .

Step S501: Obtain training data of multiple sample objects, and the training data of each sample object includes parameter comparison information and configuration information.

Step S502: According to the training data of the plurality of sample objects, the deep neural network is used for training to obtain a parameter configuration model.

Step S503: input the parameter comparison information of the target patient into the parameter configuration model, and obtain the configuration information of the target patient as the reference configuration information.

Therefore, as long as the parameter comparison information of the target patient is input into the parameter configuration model, the configuration information of the target patient can be obtained in real time, especially when the number of samples is large enough, the accuracy is expected to reach a very high level. The way of importing configuration information is highly intelligent, and can avoid human errors, reduce data interaction with medical staff equipment and data storage equipment, and avoid patient privacy leakage. Through design, establish an appropriate amount of neuron computing nodes and a multi-layer computing hierarchy, and select an appropriate input layer and output layer, you can get a deep learning model. Although the functional relationship between input and output cannot be found 100%, it can approach the actual correlation as much as possible. The parameter configuration model trained from this can realize automatic analysis of parameter comparison information, and the analysis results High reliability.

In some implementation manners, the present application may use the above training process to train the parameter configuration model, and in other implementation manners, the present application may use a pre-trained parameter configuration model.

The present application does not limit the training process of the parameter configuration model. For example, it can adopt the training method of the above-mentioned supervised learning, or can adopt the training method of semi-supervised learning, or can adopt the training method of unsupervised learning.

The step S502 may include:

updating the model parameters of the deep neural network according to the training data of the plurality of sample objects;

Detect whether the preset training end condition is met, if yes, stop training, and use the deep neural network obtained from training as the parameter configuration model, if not, use the training data of the next sample object to train the deep neural network Neural Networks.

The present application does not limit the preset training end conditions, for example, it can be that the number of training times reaches the preset number of times (the preset number of times is, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), or it can be It means that all the training data in the training set have completed one or more trainings, or it can be that the total loss value obtained in this training is not greater than the preset loss value.

Referring to Fig. 8, Fig. 8 is a schematic structural diagram of a parameter comparison device provided by the embodiment of the present application. The embodiment of the present application also provides a parameter comparison device, and its specific implementation method is the same as that of the above-mentioned parameter comparison method embodiment The implementation mode and the achieved technical effect are consistent with those described in the document, and part of the content will not be repeated here.

The apparatus is applied to electronic equipment, and the apparatus includes: a configuration acquisition module 101, configured to acquire historical configuration information of a target patient, the historical configuration information includes multiple single-time configuration information, and the single-time configuration information includes at least one Stimulus parameter identifiers and parameter values corresponding to each stimulus parameter identifier; selection receiving module 102, configured to receive a selection operation on at least two single configuration information; information determination module 103, configured to determine the selected configuration information in response to the selection operation The at least two single configuration information are used as the parameter comparison information of the target patient; the comparison display module 104 is configured to control the display device to display the parameter comparison table and/or the target patient based on the parameter comparison information Or parameter comparison graphics, the parameter comparison graphics include one or more of the following: 2D parameter comparison graphics and 3D parameter comparison graphics.

Referring to Fig. 9, Fig. 9 is a schematic structural diagram of another parameter comparison device provided by an embodiment of the present application. In some possible ways, the device may further include: a prompt generating module 105, configured to detect the When the parameter comparison information satisfies the preset condition, generate prompt information and send the prompt information to the doctor equipment, and the preset condition is used to indicate at least one of the following situations: the same stimulation of the at least two single configuration information The difference degree of the parameter value identified by the parameter is greater than the preset difference degree threshold; the parameter value identified by at least one stimulation parameter of at least one single configuration information is not in the preset range of the parameter value of the corresponding stimulation parameter identification.

Referring to Fig. 10, Fig. 10 is a schematic structural diagram of a prompt generation module provided by an embodiment of the present application. In some possible manners, the prompt generation module 105 may include: a comparison value unit 201 for Computing the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the comparison information to obtain at least one comparison value; the first generation unit 202 is configured to determine the maximum value of the at least one comparison value When it is greater than the preset threshold value corresponding to the target stimulation parameter identifier, generating prompt information and sending the prompt information to the doctor equipment, where the prompt information includes the target stimulation parameter identifier.

Referring to FIG. 11 , FIG. 11 is a schematic structural diagram of a comparison value unit provided by an embodiment of the present application. In some possible ways, the single configuration information may also include stimulation application time; the comparison value unit 201 It may include: a to-be-compared subunit 301, configured to determine that a single configuration information in the parameter comparison information whose stimulus application time is within a preset stimulus application time range is the to-be-compared information; a calculation subunit 302, used to determine when the to-be-compared information When the number of single configuration information in the comparison information is at least two, calculate the parameter value corresponding to the target stimulus parameter identifier of every two single configuration information in the information to be compared, and obtain the at least one comparison value .

Referring to FIG. 12, FIG. 12 is a schematic structural diagram of another prompt generation module provided by the embodiment of the present application. In some possible ways, the prompt generation module 105 may also include: a target comparison value unit 401, configured to The target comparison value obtains the difference between the stimulus application time of the corresponding two single configuration information, and the target comparison value is one of the at least one comparison value; the second generating unit 402 is configured to, when the When the ratio of the target comparison value to the difference is greater than the preset ratio, generating prompt information and sending the prompt information to the doctor device.

Referring to FIG. 13 , FIG. 13 is a partial structural schematic diagram of a parameter comparison device provided by an embodiment of the present application. In some possible ways, the device may further include: a reference configuration module 106 , configured to acquire reference configuration information.

In some possible manners, the reference configuration module 106 may be configured to: based on each stimulus parameter identifier of all single configuration information in the parameter comparison information, perform the following processing: calculate all stimulus parameter identifiers corresponding to An average value of parameter values, using the average value as a parameter value corresponding to the stimulation parameter identifier of the reference configuration information.

Referring to FIG. 14 , FIG. 14 is a schematic structural diagram of a reference configuration module provided by an embodiment of the present application. In some possible ways, the reference configuration module 106 may include: a training data unit 501 for acquiring multiple sample objects The training data of each sample object includes parameter comparison information and configuration information; the model training unit 502 is used for training with a deep neural network according to the training data of the plurality of sample objects to obtain a parameter configuration model; The configuration information unit 503 is configured to input the parameter comparison information of the target patient into the parameter configuration model, and obtain the configuration information of the target patient as the reference configuration information.

Referring to FIG. 15, FIG. 15 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 connection Bus 230 for 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 comparison method in the embodiment of the present application. The recorded implementation modes and achieved technical effects are consistent, and some of the contents 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, 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 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.

In a specific application, the electronic device 200 can be integrated with the doctor's equipment.

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 comparison method in the embodiment of the present application are implemented. The specific implementation The method is consistent with the implementation manner and achieved technical effect described in the above-mentioned embodiment of the parameter comparison method, and part of the content will not be repeated.

Fig. 16 shows the program product 300 for realizing the above-mentioned parameter comparison method provided by this embodiment, which can adopt a portable compact disk read-only memory (CD-ROM) and include program codes, and can be used in terminal equipment, such as personal run on the computer. However, the program product 300 of the present application is not limited thereto. In the present application, the 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 code for performing the operation of the present application can be written in any combination of one or more programming languages, and the programming language includes object-oriented programming languages such as Java, C++, etc., and also includes 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 (18)

1. A parameter comparison device applied to electronic equipment, said device comprising:

   A configuration acquisition module, configured to acquire historical configuration information of the target patient, the historical configuration information including a plurality of single configuration information, the single configuration information including at least one stimulation parameter identifier and a parameter value corresponding to each stimulation parameter identifier;

   A selection receiving module, configured to receive selection operations on at least two single configuration messages;

   An information determination module, configured to determine the at least two single configuration information as parameter comparison information of the target patient in response to the selection operation;

   A comparison and display module, configured to control the display device to display a parameter comparison table and/or a parameter comparison graph of the target patient based on the parameter comparison information, and the parameter comparison graph includes one or more of the following: 2D parameter comparison graph and 3D parameter comparison graph.
2. The device according to claim 1, wherein the device further comprises:

   A prompt generation module, configured to generate prompt information and send the prompt information to the doctor device when it is detected that the parameter comparison information meets a preset condition, and the preset condition is used to indicate at least one of the following situations: The difference degree of the parameter value of the same stimulation parameter identification of the at least two single configuration information is greater than the preset difference degree threshold; the parameter value of at least one stimulation parameter identification of the at least one single configuration information is not in the parameter value of the corresponding stimulation parameter identification Default range.
3. The device according to claim 2, wherein the prompt generating module comprises:

   A comparison value unit, configured to calculate the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the parameter comparison information, to obtain at least one comparison value;

   A first generating unit, configured to generate prompt information and send the prompt information to the doctor device when the maximum value of the at least one comparison value is greater than the preset threshold corresponding to the target stimulation parameter identifier, the prompt The information includes said target stimulus parameter identification.
4. The device according to claim 3, wherein the single configuration information further includes stimulation application time;

   The comparison value unit includes:

   The subunit to be compared is used to determine that the single configuration information in the parameter comparison information whose stimulus application time is within the preset stimulus application time range is the information to be compared;

   A calculation subunit, configured to perform parameter values corresponding to target stimulus parameter identifications for every two single configuration information in the information to be compared when the number of single configuration information in the information to be compared is at least two calculating to obtain the at least one comparison value.
5. The device according to claim 4, wherein the prompt generating module further comprises:

   A target comparison value unit, configured to obtain a difference in stimulus application time of two corresponding single configuration information based on a target comparison value, where the target comparison value is one of the at least one comparison value;

   The second generating unit is configured to generate prompt information and send the prompt information to the doctor equipment when the ratio of the target comparison value to the difference is greater than a preset ratio.
6. The device according to claim 1, wherein the device further comprises:

   The reference configuration module is used to obtain reference configuration information.
7. The device according to claim 6, wherein the reference configuration module is configured to: perform the following processing based on each stimulus parameter identifier of all single configuration information in the parameter comparison information: calculate the corresponding stimulation parameter identifier The average value of all parameter values of , using the average value as the parameter value corresponding to the stimulation parameter identification of the reference configuration information.
8. The device according to claim 6, wherein the reference configuration module comprises:

   The training data unit is used to obtain training data of multiple sample objects, and the training data of each sample object includes parameter comparison information and configuration information;

   A model training unit, configured to use a deep neural network to perform training according to the training data of the plurality of sample objects to obtain a parameter configuration model;

   The configuration information unit is configured to input the parameter comparison information of the target patient into the parameter configuration model, and obtain the configuration information of the target patient as the reference configuration information.
9. A parameter comparison method applied to electronic equipment, the method comprising:

   Acquiring historical configuration information of the target patient, where the historical configuration information includes a plurality of single configuration information, and the single configuration information includes at least one stimulation parameter identifier and a parameter value corresponding to each stimulation parameter identifier;

   receiving a selection operation on at least two single configuration messages;

   In response to the selection operation, determining the at least two single configuration information as parameter comparison information of the target patient;

   Based on the parameter comparison information, control the display device to display the parameter comparison table and/or parameter comparison graph of the target patient, and the parameter comparison graph includes one or more of the following: 2D parameter comparison graph and 3D parameter comparison graph Parameter comparison graph.
10. The method according to claim 9, wherein the method further comprises:

    When it is detected that the parameter comparison information satisfies the preset condition, prompt information is generated and sent to the doctor equipment, and the preset condition is used to indicate at least one of the following situations: the at least two single The difference degree of the parameter value identified by the same stimulation parameter in the configuration information is greater than the preset difference threshold; the parameter value identified by at least one stimulation parameter in at least one single configuration information is not within the preset range of the parameter value identified by the corresponding stimulation parameter.
11. The method according to claim 10, wherein when it is detected that the parameter comparison information satisfies a preset condition, generating prompt information and sending the prompt information to the doctor's equipment includes:

    Calculating the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the parameter comparison information to obtain at least one comparison value;

    When the maximum value of the at least one comparison value is greater than the preset threshold value corresponding to the target stimulation parameter identification, generate prompt information and send the prompt information to the doctor equipment, the prompt information includes the target stimulation parameter logo.
12. The method according to claim 11, wherein the single configuration information further includes stimulation application time;

    The calculation is performed on the parameter values corresponding to the target stimulus parameter identifiers of every two single configuration information in the parameter comparison information to obtain at least one comparison value, including:

    Determining that the single configuration information whose stimulus application time is within the preset stimulus application time range in the parameter comparison information is the information to be compared;

    When the number of single configuration information in the information to be compared is at least two, calculate the parameter value corresponding to the target stimulus parameter identifier of every two single configuration information in the information to be compared, and obtain the at least a comparison value.
13. The method according to claim 12, wherein, when it is detected that the parameter comparison information meets a preset condition, generating prompt information and sending the prompt information to the doctor equipment, further comprising:

    Acquiring the difference between the stimulus application times of the corresponding two single configuration information based on a target comparison value, where the target comparison value is one of the at least one comparison value;

    When the ratio of the target comparison value to the difference is greater than the preset ratio, generating prompt information and sending the prompt information to the doctor device.
14. The method according to claim 9, wherein the method further comprises: acquiring reference configuration information.
15. The method according to claim 14, wherein said obtaining reference configuration information comprises:

    Based on each stimulation parameter identification of all single configuration information in the parameter comparison information, the following processing is performed: calculating the average value of all parameter values corresponding to the stimulation parameter identification, and using the average value as the reference configuration information The stimulus parameter identifies the corresponding parameter value.
16. The method according to claim 14, wherein said obtaining reference configuration information comprises:

    Obtain the training data of multiple sample objects, and the training data of each sample object includes parameter comparison information and configuration information;

    According to the training data of the plurality of sample objects, a deep neural network is used for training to obtain a parameter configuration model;

    The parameter comparison information of the target patient is input into the parameter configuration model, and the configuration information of the target patient is obtained as the reference configuration information.
17. An electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method according to any one of claims 9-16 when executing the computer program.
18. A computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in any one of claims 9-16 are implemented.

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