A data processing method, device, medium and equipment for medical implant device

Abstract

The embodiment of the present application discloses a data processing method, device, medium and equipment for a medical implant device. The method is executed by a data management system; the data management system includes a data acquisition device and a data analysis platform; the data acquisition device and the data analysis platform interact; the method includes: acquiring the recorded data of the implant device through the data acquisition device, and sending the recorded data to the data analysis platform; receiving the recorded data through the data analysis platform, and determining the power information of the implant device based on the recorded data. This technical solution can quickly and accurately determine the power information of the implant device, monitor the operating status of the implant device in real time, and bring a good treatment experience to the patient.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of data processing technology, and in particular to a method, apparatus, medium and equipment for processing data of a medical implant device. Background Art

[0002] Brain pacemakers based on deep brain stimulation (DBS) technology implant electronic devices to release pulsed electrical stimulation in specific brain nuclei to alleviate symptoms of diseases such as Parkinson's disease, obsessive-compulsive disorder and drug addiction.

[0003] At present, clinical practice usually requires real-time monitoring of the operating status of implanted devices, especially the power information of implanted devices, so as to charge the implanted devices in time or perform replacement surgery for patients. Commonly used implanted device power information is mainly estimated based on attribute parameters such as the impedance of the implanted device.

[0004] In fact, quickly and accurately determining the power information of implanted devices can provide favorable protection for the health of patients. The power information estimation method in the prior art cannot meet the demand for the accuracy of the power information of implanted devices in the medical field. Summary of the invention

[0005] The embodiments of the present application provide a data processing method, apparatus, medium and equipment for a medical implant device, which can quickly and accurately determine the power information of the implant device through a data management system, monitor the operating status of the implant device in real time, and bring a good treatment experience to the patient.

[0006] In a first aspect, an embodiment of the present application provides a data processing method for a medical implant device, the method being executed by a data management system; wherein the data management system comprises a data acquisition device and a data analysis platform; the data acquisition device and the data analysis platform interact; the method comprises:

[0007] Acquiring recorded data of the implanted device through the data acquisition device, and sending the recorded data to the data analysis platform;

[0008] The recorded data is received through the data analysis platform, and the power information of the implanted device is determined based on the recorded data.

[0009] In a second aspect, an embodiment of the present application provides a data processing device for a medical implant device, wherein the device is configured in a data management system; wherein the data management system includes a data acquisition device and a data analysis platform; the data acquisition device and the data analysis platform interact; the device includes:

[0010] A record data acquisition module, used to acquire the record data of the implanted device through the data acquisition device, and send the record data to the data analysis platform;

[0011] The power information determination module is used to receive the recorded data through the data analysis platform and determine the power information of the implanted device based on the recorded data.

[0012] In a third aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the data processing method for the medical implant device as described in the embodiment of the present application.

[0013] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the data processing method for the medical implant device as described in the embodiment of the present application is implemented.

[0014] The technical solution provided in the embodiment of the present application obtains the recorded data of the implanted device through the data acquisition device, and sends the recorded data to the data analysis platform. The recorded data is received by the data analysis platform, and the power information of the implanted device is determined based on the recorded data. This solution can obtain the recorded information of the implanted device in a timely manner, quickly and accurately determine the power information of the implanted device, monitor the operating status of the implanted device in real time, and bring a good treatment experience to the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of a data processing method for a medical implant device provided in Embodiment 1 of the present application;

[0016] Figure 2 This is a flow chart of a data processing method for a medical implant device in Embodiment 2 of the present invention;

[0017] Figure 3 A schematic diagram of the structure of a data processing device for a medical implant device provided in Embodiment 3 of the present invention;

[0018] Figure 4 It is a structural schematic diagram of an electronic device provided in Example 5 of the present application. DETAILED DESCRIPTION

[0019] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only the parts related to the present application, rather than all structures, are shown in the accompanying drawings.

[0020] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the steps as sequential processes, many of the steps therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0021] Embodiment 1

[0022] Figure 1 It is a flowchart of the data processing method of the medical implant device provided in the first embodiment of the present application. This embodiment can be applicable to the data processing scenario of any implant device. The method can be executed by the data processing device of the medical implant device provided in the embodiment of the present application. The device can be implemented by software and / or hardware and can be integrated into an electronic device.

[0023] like Figure 1 As shown, the data processing method of the medical implant device includes:

[0024] S101, acquiring recorded data of an implanted device through the data acquisition device, and sending the recorded data to the data analysis platform.

[0025] This solution can be executed by a data management system, wherein the data management system may include a data acquisition device and a data analysis platform. The data acquisition device interacts with the data analysis platform. The data acquisition device may be used to acquire recorded data of an implanted device. The data acquisition device may be connected to an implanted device to read recorded data stored in the implanted device. The data acquisition device may also include an intermediate device and a data acquisition terminal, and the recorded data of the implanted device is acquired through the intermediate device, and the recorded data is then transmitted to the data acquisition terminal through the intermediate device to achieve acquisition of the recorded data.

[0026] Among them, the recorded data may be status recorded data generated by the implanted device during operation. The recorded data may include product information, working parameter information, time information, and fault information of the implanted device. Specifically, the product information may include information such as product serial number, product model, and product component attributes; the working parameter information may include information such as the stimulated brain side, stimulation point, number of stimulation points, amplitude, pulse width, and frequency; the time information may include information such as the operating time of the implanted device, parameter adjustment time, and charging time; the fault information may include information such as error codes and fault logs. After acquiring the recorded data, the data acquisition device may send the recorded data to the data analysis platform to achieve real-time monitoring of the recorded data. The data analysis platform may parse and calculate the recorded data to evaluate the operating status of the implanted device.

[0027] In this solution, optionally, sending the recorded data to the data analysis platform includes:

[0028] Encrypting the recorded data by the data acquisition device according to a preset encryption method to obtain encrypted data;

[0029] The encrypted data is sent to the data analysis platform through the data acquisition device.

[0030] In order to ensure the security of the recorded data in the patient's implanted device, the recorded data can be encrypted during the transmission of the recorded data. Specifically, after acquiring the recorded data, the data acquisition device can encrypt the recorded data according to a preset encryption method to obtain encrypted data. The data acquisition device can send the encrypted data to the data analysis platform.

[0031] In a feasible solution, optionally, the encryption method includes at least one of the following methods:

[0032] Determine the mapping base number and the mapping bit number according to a preset mapping method; convert the recorded data into encrypted data of the mapping base number; wherein the number of bits of the encrypted data is the mapping bit number;

[0033] Determine the category transmission order according to the arrangement and combination of the classification categories of the recorded data; adjust the recorded data to the encrypted data of the category transmission order;

[0034] Determine the operation rules according to the classification category of the recorded data; and convert the recorded data into encrypted data according to the operation rules.

[0035] The data acquisition device can encrypt the recorded data in the above three ways, but not limited to them. The data acquisition device can pre-set the mapping method, and determine the mapping base number and the mapping bit number according to the mapping method. Then, according to the mapping method, the recorded data is converted into encrypted data. It can be understood that the base number of the encrypted data should satisfy the mapping base number, and the number of bits of the encrypted data should satisfy the mapping bit number. Taking a specific example, assuming that there is information of an amplitude of 0.5V in the recorded data, the data acquisition device can translate the value 0.5 into a 4-bit value in hexadecimal, and convert 0.5 into ox11 to achieve encryption. It should be noted that the data acquisition device can encrypt values, and can also encrypt information such as letters, Chinese characters and symbols.

[0036] The data acquisition device can also classify the information in the recorded data. For example, the information in the recorded data can be divided into three categories: product information, working parameter information, and time information. A represents product information, B represents stimulation parameter information, and C represents time information. The data acquisition device can determine the category transmission order according to the arrangement and combination of the classification categories of the recorded data. Taking the above example as an example, the arrangement and combination of the classification categories of the recorded data can include ABC, ACB, BAC, BCA, CAB, and CBA. Based on these order forms, the data acquisition device can determine the category transmission order. For example, the recorded data contains 3 groups of the above classification information, that is, the original category transmission order is ABCABCABC. The data acquisition device can stipulate that the category transmission order of the recorded data is BACBCACAB to achieve encryption of the recorded data.

[0037] The data acquisition device can also determine the operation rules according to the classification category of the recorded data. Assume that the data acquisition device can classify the recorded data into three categories: amplitude information, pulse width information and frequency information. In a set of information in the recorded data, the amplitude is 1V, the pulse width is 3us, and the frequency is 19Hz. In order to hide the information in the recorded data, the data acquisition device can transmit the recorded data by setting the operation rules for solving the equation group. Specifically, X, Y and Z can represent the amplitude, pulse width and frequency respectively, and the equation group can include X+Y+Z=23, X=3Z and YZ=6X.

[0038] It should be noted that the above three encryption methods are not limited to individual use, but can also be nested and used in combination to achieve the purpose of ensuring the security of patient record data.

[0039] This solution can encrypt and transmit recorded data, achieve the reliability of recorded data transmission, and ensure the security of patient recorded data.

[0040] S102, receiving the recorded data through the data analysis platform, and determining the power information of the implanted device based on the recorded data.

[0041] The data analysis platform can receive the recorded data sent by the data acquisition device, and according to the recorded data, the data analysis platform can determine the power information of the implanted device. Specifically, the data analysis platform can calculate the current power consumption, remaining power, power efficiency, etc. of the implanted device from the perspective of the energy consumption of the implanted device circuit and the time information based on the product component attributes and other information in the product information.

[0042] Based on the above solution, optionally, determining the power information of the implanted device based on the recorded data includes:

[0043] Decrypting the encrypted data according to the preset encryption method through the data analysis platform, and parsing the decrypted data to obtain a parsing result;

[0044] The data analysis platform is used to determine the power information of the implanted device according to the analysis result.

[0045] It is easy to understand that the data analysis platform can decrypt the encrypted data transmitted by the data acquisition device according to the preset encryption method, and parse the decrypted data to obtain the parsing result. The parsing process of the data analysis platform can be information extraction and screening of the decrypted data, classification of the decrypted data, or further calculation and analysis of the decrypted data. The data analysis platform can determine the power information of the implanted device based on the parsing result.

[0046] This solution can further parse the decrypted data after decrypting the encrypted data. This solution can obtain more abundant implant device operation status information through the parsing process, which is conducive to accurately calculating the power information of the implant device.

[0047] In this solution, optionally, the recorded data includes amplitude, pulse width, frequency and stimulation point;

[0048] Accordingly, determining the power information of the implanted device based on the recorded data includes:

[0049] The data analysis platform is used to determine the power consumption of the implanted device based on the amplitude, pulse width, frequency and stimulation point.

[0050] Specifically, the recorded data may include working parameter information such as amplitude, pulse width, frequency and stimulation points. Based on the working parameter information such as amplitude, pulse width, frequency and stimulation points, the data analysis platform can calculate the power consumption of the implanted device. Specifically, based on the stimulation points, the data analysis platform can determine the number of stimulation points of the implanted device, and calculate the current consumption per unit time based on the number of stimulation points and the amplitude, pulse width and frequency information corresponding to each point. For example, based on the positive correlation between the information such as the number of stimulation points, amplitude, pulse width and frequency and the current consumption, the calculation formula for the current consumption can be determined, and the current consumption per unit time can be calculated using the formula. Based on the current consumption, combined with the working time information of the implanted device, the data analysis platform can calculate the power consumption of the implanted device within the time period.

[0051] This solution can accurately calculate the power consumption of the implanted device, which is conducive to quickly and accurately determining the operating status of the implanted device.

[0052] The technical solution provided in the embodiment of the present application obtains the recorded data of the implanted device through the data acquisition device, and sends the recorded data to the data analysis platform. The recorded data is received by the data analysis platform, and the power information of the implanted device is determined based on the recorded data. This solution can obtain the recorded information of the implanted device in a timely manner, quickly and accurately determine the power information of the implanted device, monitor the operating status of the implanted device in real time, and bring a good treatment experience to the patient.

[0053] Embodiment 2

[0054] Figure 2 This is a flow chart of data processing of a medical implant device in Embodiment 2 of the present invention. This embodiment is optimized based on the above embodiment.

[0055] like Figure 2 As shown, the method of this embodiment specifically includes the following steps:

[0056] S201, acquiring recorded data of an implanted device through the data acquisition device, and sending the recorded data to the data analysis platform.

[0057] S202: Determine a voltage multiplication factor according to the first amplitude and the second amplitude through the data analysis platform.

[0058] It is understandable that the implanted device can simultaneously stimulate multiple locations of the brain, such as the left brain and the right brain, through the electrode kit. Accordingly, the amplitude may include a first amplitude and a second amplitude, and the first amplitude and the second amplitude may correspond to the stimulation amplitudes generated by the electrode kits of the left brain and the right brain, respectively. Based on the first amplitude and the second amplitude, the data analysis platform can determine a voltage multiplication factor. The voltage multiplication factor can be used to identify the difference between the first amplitude and the second amplitude and a preset amplitude threshold.

[0059] Specifically, determining the voltage multiplication coefficient according to the first amplitude and the second amplitude includes:

[0060] If the first amplitude is smaller than the preset amplitude threshold, and the second amplitude is smaller than the preset amplitude threshold, setting the first preset coefficient as the voltage multiplication coefficient;

[0061] If the first amplitude is greater than or equal to a preset amplitude threshold, or the second amplitude is greater than or equal to a preset amplitude threshold, the second preset coefficient is a voltage multiplication coefficient.

[0062] If both the first amplitude and the second amplitude are less than the preset amplitude threshold, the first preset coefficient is set as the voltage multiplication coefficient; if at least one of the first amplitude and the second amplitude is greater than or equal to the preset amplitude threshold, the second preset coefficient is set as the voltage multiplication coefficient. In a specific example, the preset amplitude threshold can be set to 3V, and when both the first amplitude and the second amplitude are less than 3V, the voltage multiplication coefficient is set to 1; when at least one of the first amplitude and the second amplitude is greater than or equal to 3V, the voltage multiplication coefficient is set to 2.

[0063] S203, through the data analysis platform, determine the first current according to the first amplitude, the voltage doubling coefficient, the pulse width corresponding to the first amplitude, the frequency corresponding to the first amplitude, and the stimulation point corresponding to the first amplitude; and determine the second current according to the second amplitude, the voltage doubling coefficient, the pulse width corresponding to the second amplitude, the frequency corresponding to the second amplitude, and the stimulation point corresponding to the second amplitude.

[0064] The data analysis platform can calculate the first current according to the first amplitude, the voltage doubling coefficient, the pulse width corresponding to the first amplitude, the frequency corresponding to the first amplitude, and the stimulation point corresponding to the first amplitude, and calculate the second current according to the second amplitude, the voltage doubling coefficient, the pulse width corresponding to the second amplitude, the frequency corresponding to the second amplitude, and the stimulation point corresponding to the second amplitude. For example, the calculation formula of the first current can be determined based on the positive correlation between the first amplitude, the voltage doubling coefficient, the number of stimulation points, the pulse width and the frequency and the first current, and the formula is used to calculate the first current per unit time. The calculation method of the second current is similar. It should be noted that the number of stimulation points, the pulse width and the frequency corresponding to the first amplitude can be the same as or different from the number of stimulation points, the pulse width and the frequency corresponding to the second amplitude.

[0065] S204: Determine the power consumption of the implanted device according to the first current and the second current through the data analysis platform.

[0066] The data analysis platform can calculate the unit power consumption of the implanted device based on the first current and the second current. Combined with the time information, the data analysis platform can determine the power consumption of the implanted device within the target time period.

[0067] The technical solution provided in the embodiment of the present application obtains the recorded data of the implanted device through the data acquisition device, and sends the recorded data to the data analysis platform. Through the data analysis platform, the voltage multiplication coefficient is determined according to the first amplitude and the second amplitude. Through the data analysis platform, the first current and the second current are calculated respectively according to the voltage multiplication coefficient and the relevant parameters corresponding to the two amplitudes. Through the data analysis platform, the power consumption of the implanted device is determined according to the first current and the second current. This solution can realize the calculation of power consumption in a multi-position stimulation treatment scenario by setting the voltage multiplication coefficient. At the same time, this solution can quickly and accurately determine the power information of the implanted device by timely acquiring the recorded information of the implanted device, monitor the operating status of the implanted device in real time, and bring a good treatment experience to the patient.

[0068] Embodiment 3

[0069] Figure 3 This is a schematic diagram of the structure of a data processing device for a medical implant device provided in the third embodiment of the present invention. The device can execute the data processing method for a medical implant device provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. Figure 3 As shown, the device is configured in a data management system; wherein the data management system includes a data acquisition device and a data analysis platform; the data acquisition device and the data analysis platform interact; the device may include:

[0070] A record data acquisition module 301, used to acquire the record data of the implanted device through the data acquisition device, and send the record data to the data analysis platform;

[0071] The power information determination module 302 is used to receive the recorded data through the data analysis platform and determine the power information of the implanted device based on the recorded data.

[0072] In this solution, optionally, the record data acquisition module 301 is specifically used to:

[0073] Encrypting the recorded data by the data acquisition device according to a preset encryption method to obtain encrypted data;

[0074] The encrypted data is sent to the data analysis platform through the data acquisition device.

[0075] Based on the above solution, optionally, the power information determination module 302 is specifically used to:

[0076] Decrypting the encrypted data according to the preset encryption method through the data analysis platform, and parsing the decrypted data to obtain a parsing result;

[0077] The data analysis platform is used to determine the power information of the implanted device according to the analysis result.

[0078] In a feasible solution, optionally, the encryption method includes at least one of the following methods:

[0079] Determine the mapping base number and the mapping bit number according to a preset mapping method; convert the recorded data into encrypted data of the mapping base number; wherein the number of bits of the encrypted data is the mapping bit number;

[0080] Determine the category transmission order according to the arrangement and combination of the classification categories of the recorded data; adjust the recorded data to the encrypted data of the category transmission order;

[0081] Determine the operation rules according to the classification category of the recorded data; and convert the recorded data into encrypted data according to the operation rules.

[0082] In a preferred solution, optionally, the recorded data includes amplitude, pulse width, frequency and stimulation point;

[0083] Accordingly, the power information determination module 302 is specifically used to:

[0084] The data analysis platform is used to determine the power consumption of the implanted device based on the amplitude, pulse width, frequency and stimulation point.

[0085] Based on the above solution, optionally, the amplitude includes a first amplitude and a second amplitude;

[0086] Accordingly, the power information determination module 302 is specifically used to:

[0087] Determining a voltage multiplication coefficient according to the first amplitude and the second amplitude;

[0088] Determine a first current according to the first amplitude, voltage multiplication factor, pulse width, frequency and stimulation point; and determine a second current according to the second amplitude, voltage multiplication factor, pulse width, frequency and stimulation point;

[0089] The power consumption of the implanted device is determined according to the first current and the second current.

[0090] Optionally, the power information determining module 302 is specifically configured to:

[0091] If the first amplitude is smaller than a preset amplitude threshold, and the second amplitude is smaller than a preset amplitude threshold, setting the first preset coefficient as a voltage multiplication coefficient through the data analysis platform;

[0092] If the first amplitude is greater than or equal to a preset amplitude threshold, or the second amplitude is greater than or equal to a preset amplitude threshold, the second preset coefficient is set as a voltage multiplication coefficient through the data analysis platform.

[0093] The above-mentioned product can execute the data processing method of the medical implant device provided in the embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method.

[0094] Embodiment 4

[0095] Embodiment 4 of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the data processing method of the medical implant device provided in all the embodiments of the present invention is implemented:

[0096] Acquiring recorded data of the implanted device through the data acquisition device, and sending the recorded data to the data analysis platform;

[0097] The recorded data is received through the data analysis platform, and the power information of the implanted device is determined based on the recorded data.

[0098] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-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 (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used or used in conjunction with an instruction execution system, device, or device.

[0099] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0100] Program code embodied on a computer readable 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.

[0101] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0102] Embodiment 5

[0103] Embodiment 5 of the present application provides an electronic device. Figure 4 Schematic diagram of the structure of an electronic device provided in Embodiment 5 of the present application. Figure 4 As shown, this embodiment provides an electronic device 400, which includes: one or more processors 402; a storage device 401, which is used to store one or more programs. When the one or more programs are executed by the one or more processors 402, the one or more processors 402 implement the data processing method of the medical implant device provided in the embodiment of the present application, and the method includes:

[0104] Acquiring recorded data of the implanted device through the data acquisition device, and sending the recorded data to the data analysis platform;

[0105] The recorded data is received through the data analysis platform, and the power information of the implanted device is determined based on the recorded data.

[0106] Of course, those skilled in the art can understand that the processor 402 also implements the technical solution of the data processing method of the medical implant device provided in any embodiment of the present application.

[0107] Figure 4 The electronic device 400 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0108] like Figure 4 As shown, the electronic device 400 includes a processor 402, a storage device 401, an input device 403 and an output device 404; the number of the processor 402 in the electronic device can be one or more. Figure 4 A processor 402 is taken as an example; the processor 402, the storage device 401, the input device 403 and the output device 404 in the electronic device can be connected by a bus or other means. Figure 4 The connection via bus 405 is taken as an example.

[0109] The storage device 401 is a computer-readable storage medium that can be used to store software programs, computer executable programs, and module units, such as program instructions corresponding to the data processing method of the medical implant device in the embodiment of the present application.

[0110] The storage device 401 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the storage device 401 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 401 may further include a memory remotely arranged relative to the processor 402, and these remote memories may be connected via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0111] The input device 403 may be used to receive input numbers, character information or voice information, and generate key signal input related to user settings and function control of the electronic device. The output device 404 may include electronic devices such as a display screen and a speaker.

[0112] The electronic device provided in the embodiment of the present application can use a data management system to quickly and accurately determine the power information of the implanted device, monitor the operating status of the implanted device in real time, and bring a good treatment experience to the patient.

[0113] The data processing device, medium and electronic device of the medical implant device provided in the above embodiments can execute the data processing method of the medical implant device provided in any embodiment of the present application, and have the corresponding functional modules and beneficial effects of executing the method. For technical details not described in detail in the above embodiments, please refer to the data processing method of the medical implant device provided in any embodiment of the present application.

[0114] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A data processing method for a medical implant device, characterized in that: The method is performed by a data management system; wherein the data management system includes a data acquisition device and a data analysis platform; the data acquisition device and the data analysis platform interact with each other; the implant device simultaneously stimulates the left brain and the right brain through an electrode kit, and the method includes: Acquire recorded data of the implanted device through the data acquisition device, and send the recorded data to the data analysis platform; wherein the recorded data includes amplitude, pulse width, frequency and stimulation point; the amplitude includes a first amplitude and a second amplitude, and the first amplitude and the second amplitude correspond to the stimulation amplitudes generated by the electrode kits of the left brain and the right brain respectively; receiving the recorded data through the data analysis platform, and determining the power consumption of the implanted device based on the recorded data; Wherein, determining the power consumption of the implanted device based on the recorded data includes: Determining a voltage multiplication coefficient according to the first amplitude and the second amplitude; Determine a first current according to the first amplitude, the voltage doubling coefficient, the pulse width corresponding to the first amplitude, the frequency corresponding to the first amplitude, and the stimulation point corresponding to the first amplitude; and determine a second current according to the second amplitude, the voltage doubling coefficient, the pulse width corresponding to the second amplitude, the frequency corresponding to the second amplitude, and the stimulation point corresponding to the second amplitude; determining power consumption of an implanted device according to the first current and the second current; Wherein, determining the voltage multiplication coefficient according to the first amplitude and the second amplitude includes: If the first amplitude is smaller than the preset amplitude threshold, and the second amplitude is smaller than the preset amplitude threshold, setting the first preset coefficient as the voltage multiplication coefficient; If the first amplitude is greater than or equal to a preset amplitude threshold, or the second amplitude is greater than or equal to a preset amplitude threshold, the second preset coefficient is set as a voltage multiplication coefficient.

2. The method according to claim 1, characterized in that The sending the recorded data to the data analysis platform comprises: Encrypting the recorded data by the data acquisition device according to a preset encryption method to obtain encrypted data; The encrypted data is sent to the data analysis platform through the data acquisition device.

3. The method according to claim 2, characterized in that Determining the power consumption of the implanted device based on the recorded data includes: Decrypting the encrypted data according to the preset encryption method through the data analysis platform, and parsing the decrypted data to obtain a parsing result; The data analysis platform is used to determine the power consumption of the implanted device based on the analysis results.

4. The method according to claim 2, characterized in that: The encryption method includes at least one of the following methods: Determine the mapping base number and the mapping bit number according to a preset mapping method; convert the recorded data into encrypted data of the mapping base number; wherein the number of bits of the encrypted data is the mapping bit number; Determine the category transmission order according to the arrangement and combination of the classification categories of the recorded data; adjust the recorded data to the encrypted data of the category transmission order; Determine the operation rules according to the classification category of the recorded data; and convert the recorded data into encrypted data according to the operation rules.

5. A data processing device for a medical implant device, characterized in that: The device is configured in a data management system; wherein the data management system includes a data acquisition device and a data analysis platform; the data acquisition device and the data analysis platform interact with each other; the implant device simultaneously stimulates and treats the left and right brains through an electrode kit, and the device includes: A recorded data acquisition module, used to acquire recorded data of the implanted device through the data acquisition device, and send the recorded data to the data analysis platform; wherein the recorded data includes amplitude, pulse width, frequency and stimulation point; the amplitude includes a first amplitude and a second amplitude, and the first amplitude and the second amplitude correspond to the stimulation amplitudes generated by the electrode kits of the left brain and the right brain respectively; a power consumption determination module, configured to receive the recorded data through the data analysis platform, and determine the power consumption of the implanted device based on the recorded data; The power consumption determination module is specifically used to: Determining a voltage multiplication coefficient according to the first amplitude and the second amplitude; Determine a first current according to the first amplitude, the voltage doubling coefficient, the pulse width corresponding to the first amplitude, the frequency corresponding to the first amplitude, and the stimulation point corresponding to the first amplitude; and determine a second current according to the second amplitude, the voltage doubling coefficient, the pulse width corresponding to the second amplitude, the frequency corresponding to the second amplitude, and the stimulation point corresponding to the second amplitude; determining power consumption of an implanted device according to the first current and the second current; Wherein, determining the voltage multiplication coefficient according to the first amplitude and the second amplitude includes: If the first amplitude is smaller than the preset amplitude threshold, and the second amplitude is smaller than the preset amplitude threshold, setting the first preset coefficient as the voltage multiplication coefficient; If the first amplitude is greater than or equal to a preset amplitude threshold, or the second amplitude is greater than or equal to a preset amplitude threshold, the second preset coefficient is set as a voltage multiplication coefficient.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the data processing method for the medical implant device according to any one of claims 1 to 4 is implemented.

7. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the data processing method for the medical implant device according to any one of claims 1 to 4 is implemented.

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