Method and system for generating electrical stimulation prescriptions

The use of generative artificial intelligence in electrical stimulation prescription systems allows for personalized and efficient prescription adjustments, addressing the burden on doctors and enhancing treatment outcomes.

JP2026073983APending Publication Date: 2026-05-01GORDON INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
GORDON INTELLIGENT TECHNOLOGY CO LTD
Filing Date
2025-10-17
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Conventional electrical stimulation treatments require patients to visit medical institutions for prescription adjustments, placing a significant burden on doctors due to the need for experience-based adjustments.

Method used

A method and system utilizing generative artificial intelligence to assist doctors in prescribing and adjusting electrical stimulation prescriptions by combining a generative artificial intelligence module, prescription database, and editing module to generate personalized prescriptions based on patient feedback and historical data.

Benefits of technology

Reduces the workload on doctors by enabling precise and efficient electrical stimulation prescription adjustments tailored to individual patient needs, improving treatment efficacy.

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Abstract

The present invention provides a method and system for generating electrical stimulation prescriptions to assist physicians in prescribing or adjusting electrical stimulation prescriptions. [Solution] The method includes steps S11 and S12 of acquiring a dedicated electrical stimulation prescription designed for a target patient and feedback information from the target patient who has undergone the dedicated electrical stimulation prescription; step S13 of a generative artificial intelligence module adjusting the dedicated electrical stimulation prescription based on the feedback information and at least one reference electrical stimulation prescription found from multiple electrical stimulation prescriptions in the prescription database to generate a new dedicated electrical stimulation prescription; step S14 of a prescription editing module displaying the new dedicated electrical stimulation prescription on the physician's terminal for confirmation and / or editing; and step S15 of a prescription editing module receiving confirmation information from the physician's terminal for the new dedicated electrical stimulation prescription and providing the new dedicated electrical stimulation prescription for the target patient to perform electrical stimulation therapy.
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Description

Technical Field

[0001] The present disclosure relates to a technique for generating an electrical stimulation prescription, and more particularly to a method and system for generating an electrical stimulation prescription by combining generative artificial intelligence technology.

Background Art

[0002] Electrical stimulation mainly introduces a physical electrical signal into the body through the patient's skin and stimulates the affected part of the patient, thereby bringing a therapeutic effect to the muscles and nerves of the affected part.

[0003] Conventionally, patients who need electrical stimulation have to go directly to a medical institution to receive electrical stimulation treatment, and a doctor has to prescribe an electrical stimulation suitable for the patient's condition based on experience. When the patient feels discomfort during the electrical stimulation treatment or the doctor determines that the effect of the electrical stimulation treatment is not ideal, the doctor has to adjust the existing electrical stimulation prescription based on experience. Therefore, how to prescribe or adjust an electrical stimulation prescription suitable for the patient's current condition has been a great burden for doctors.

Summary of the Invention

Problems to be Solved by the Invention

[0004] Therefore, how to design a method and system for generating an electrical stimulation prescription that can effectively improve the above problems is an urgent problem to be solved.

Means for Solving the Problems

[0005] The present disclosure provides a method for generating an electrical stimulation prescription that assists a doctor in prescribing or adjusting an electrical stimulation prescription by combining generative artificial intelligence technology.

[0006] In at least one embodiment, the method for generating an electrical stimulation prescription according to the present disclosure includes the steps of: obtaining a personalized electrical stimulation prescription designed for a target patient using a generative artificial intelligence module; obtaining feedback information from a target patient who has undergone the personalized electrical stimulation prescription using the generative artificial intelligence module; adjusting the personalized electrical stimulation prescription based on the feedback information and at least one reference electrical stimulation prescription found from multiple electrical stimulation prescriptions in a prescription database to generate a new personalized electrical stimulation prescription using the generative artificial intelligence module; displaying the new personalized electrical stimulation prescription on a physician's terminal for confirmation and / or editing using a prescription editing module; and receiving confirmation information from a physician's terminal for the new personalized electrical stimulation prescription and providing the new personalized electrical stimulation prescription to the target patient for electrical stimulation therapy using the prescription editing module.

[0007] In at least one embodiment of the present disclosure, the generative artificial intelligence module includes a large-scale language model (LLM) to which search-enhanced generative techniques (RAG) are applied.

[0008] In at least one embodiment, the method for generating an electrical stimulation prescription according to the present disclosure further includes the step of storing a new dedicated electrical stimulation prescription in a prescription database in accordance with confirmation information and adding it as one of a plurality of electrical stimulation prescriptions, the new dedicated electrical stimulation prescription being associated with one of a plurality of prescription generation rules.

[0009] In at least one embodiment, the method for generating an electrical stimulation prescription according to the present disclosure further includes the steps of obtaining patient information of a target patient by a generative artificial intelligence module, further adjusting a dedicated electrical stimulation prescription based on the patient information, feedback information, and at least one reference electrical stimulation prescription, and generating a new dedicated electrical stimulation prescription.

[0010] In at least one embodiment of the present disclosure, patient information includes historical data of customized electrical stimulation prescriptions administered to the patient.

[0011] In at least one embodiment of the present disclosure, patient information further includes at least one of the patient's basic personal data and medical history data.

[0012] In at least one embodiment of the present disclosure, the prescription editing module generates a user interface for displaying at least one carrier signal and a plurality of script command codes for a new dedicated electrical stimulation prescription, each script command code corresponding to one local segment of the carrier signal.

[0013] In at least one embodiment of the present disclosure, each script command code includes at least one of a duration and amplitude corresponding to a local segment.

[0014] In at least one embodiment of the present disclosure, a generative artificial intelligence module performs autonomous learning to establish a plurality of prescription generation rules based on a plurality of electrical stimulation prescriptions, and any one of the electrical stimulation prescriptions is associated with one of the plurality of prescription generation rules, and the generative artificial intelligence module finds at least one of the plurality of prescription generation rules that fits a dedicated electrical stimulation prescription and finds at least one associated reference electrical stimulation prescription.

[0015] In at least one embodiment of the present disclosure, a generative artificial intelligence module generates a dedicated electrical stimulation prescription based on prescription generation information entered via a physician's terminal, and a prescription editing module obtains the dedicated electrical stimulation prescription after receiving confirmation information from the physician's terminal regarding the dedicated electrical stimulation prescription.

[0016] In at least one embodiment of the present disclosure, prescription creation information includes verbal instructions entered via a voice input device on a physician's terminal.

[0017] In at least one embodiment, the electrical stimulation prescription generation system of the present disclosure includes a prescription database, a generative artificial intelligence module, and a prescription editing module. The prescription database stores multiple electrical stimulation prescriptions; the generative artificial intelligence module obtains a dedicated electrical stimulation prescription designed for a target patient and feedback information from the target patient who has received the dedicated electrical stimulation prescription; adjusts the dedicated electrical stimulation prescription based on the feedback information and at least one reference electrical stimulation prescription found among the multiple electrical stimulation prescriptions to generate a new dedicated electrical stimulation prescription; the prescription editing module displays the new dedicated electrical stimulation prescription on a physician's terminal for confirmation and / or editing; the prescription editing module receives confirmation information from the physician's terminal for the new dedicated electrical stimulation prescription and provides the new dedicated electrical stimulation prescription for the target patient to receive electrical stimulation therapy.

[0018] A deeper understanding of this disclosure can be gained by reading the following description of specific embodiments and referring to the attached drawings. [Brief explanation of the drawing]

[0019] [Figure 1] Figure 1 is a system block diagram of the electrical stimulation prescription generation system of this disclosure. [Figure 2] Figure 2 is a flowchart of the method for generating the electrical stimulation prescription according to this disclosure. [Figure 3] Figure 3 is a system block diagram of another embodiment of the electrical stimulation formulation generation system of the present disclosure. [Figure 4] Figure 4 is a flowchart of another embodiment of the method for generating the electrical stimulation formulation of this disclosure. [Figure 5] Figure 5 is a schematic diagram showing how a physician edits a dedicated electrical stimulation prescription via the user interface displayed on the physician's control terminal of this disclosure. [Modes for carrying out the invention]

[0020] The various aspects and examples are merely illustrative and not limiting. After reading this specification, those skilled in the art should understand that other aspects and examples are possible without departing from the scope of the present disclosure. The features and advantages of the above examples will be further clarified from the following detailed description and claims.

[0021] In this specification, "a" or "one" is used to describe the elements and components described herein. This is for convenience and to indicate the general meaning of the scope of the present disclosure. Therefore, unless otherwise specified, such description should be understood to include one or at least one, and the singular form should also include the plural form.

[0022] As used in this specification, "comprising", "having", "including", or other similar terms are intended to include non-exclusive inclusion. For example, a component or structure that includes multiple elements is not limited to only the elements described herein, and may include other elements that are customary and specific to the current component or structure although not explicitly described.

[0023] The electrical stimulation prescription generation system of the present disclosure mainly combines generative artificial intelligence (abbreviated as GAI) technology to assist a doctor in prescribing or adjusting a dedicated electrical stimulation prescription for a target patient.

[0024] Referring to FIG. 1, FIG. 1 is a system block diagram of the electrical stimulation prescription generation system 1 of the present disclosure. As shown in FIG. 1, the electrical stimulation prescription generation system 1 of the present disclosure includes a prescription database 10, a generative artificial intelligence module 20, and a prescription editing module 30 that are electrically connected to each other.

[0025] In at least one embodiment of the present disclosure, the prescription database 10 is used to store a plurality of electrical stimulation prescriptions and a plurality of prescription generation rules, which are used as basic reference data for the electrical stimulation prescription generation system 1 of the present disclosure. In some embodiments of the present disclosure, each electrical stimulation prescription is associated with at least one of the plurality of prescription generation rules when prescribed, depending on the corresponding setting conditions (such as the patient's condition). In some embodiments of the present disclosure, the prescription database 10 may be configured as a hardware device with data storage capabilities, such as a hard disk, but the present disclosure is not limited thereto, and for example, the prescription database 10 may be a combination of a hardware device and associated data storage or management software.

[0026] In at least one embodiment of the present disclosure, an electrical stimulation prescription is defined as providing an electrical stimulator with at least one carrier signal corresponding to an electrical stimulation treatment course, and the electrical stimulator (e.g., an electrotherapy device generally having patch groups) can achieve a therapeutic effect by providing electrical stimulation corresponding to a part of the patient's body based on the carrier signal. In some embodiments of the present disclosure, each carrier signal may provide a single carrier wave or a combination of multiple carrier waves, and the combination of multiple carrier waves may include multiple continuous or discontinuous carrier waves having different durations, waveforms, intensities (amplitudes), or frequencies. In some embodiments of the present disclosure, each electrical stimulation prescription may be an electrical stimulation prescription pre-stored in the system, or a newly added electrical stimulation prescription stored by the prescription editing module 30 based on a modified electrical stimulation prescription, and each electrical stimulation prescription is a dedicated electrical stimulation prescription prescribed by a physician for a specific target patient, and each electrical stimulation prescription is certified by the physician and can be used for the patient to perform the corresponding electrical stimulation treatment.

[0027] In at least one embodiment of the present disclosure, a prescription generation rule is defined as a rule associated with a corresponding electrical stimulation prescription depending on specific setting conditions. In some embodiments of the present disclosure, the aforementioned setting conditions are basic personal data, physiological status data (e.g., range values ​​or thresholds of physiological characteristic parameters), and / or medical history data of the patient corresponding to the prescribed electrical stimulation prescription, and each prescription generation rule may be associated with one or more electrical stimulation prescriptions.

[0028] In at least one embodiment of the Disclosure, the generative artificial intelligence module 20 primarily assists physicians in prescribing or adjusting personalized electrical stimulation prescriptions for patients by communicating directly with physicians or obtaining feedback information from physicians or patients. In some embodiments of the Disclosure, the generative artificial intelligence module 20 may be a generative artificial intelligence system based on text language training. For example, the generative artificial intelligence module 20 may include a large language model (LLM), such as LLaMA or GPT-4, to which retrieval-augmented generation (RAG) technology is applied, thereby enabling the generative artificial intelligence module 20 to refer to relevant databases via RAG technology to perform language processing or translation tasks assigned by the electrical stimulation prescription generation system 1 of the Disclosure. In some embodiments of the Disclosure, the generative artificial intelligence module 20 may be further combined with an agent unit, on the one hand, the generative artificial intelligence module can communicate with physicians or patients in language or text, and on the other hand, the agent unit can assist in performing relevant system operations and decisions.

[0029] In some embodiments of this disclosure, the generative artificial intelligence module 20 performs autonomous learning based on a plurality of electrical stimulation prescriptions stored in the prescription database 10, and establishes a plurality of prescription generation rules which are stored in the prescription database 10. In some embodiments of this disclosure, the generative artificial intelligence module 20 can integrate and learn data based on applicable setting conditions corresponding to each electrical stimulation prescription, and collectively establish a plurality of prescription generation rules. Any one of the electrical stimulation prescriptions can be associated with one of the plurality of prescription generation rules. In some embodiments of this disclosure, the generative artificial intelligence module 20 can find any electrical stimulation prescription that serves as a reference electrical stimulation prescription according to the plurality of prescription generation rules.

[0030] In at least one embodiment of the present disclosure, the generative artificial intelligence module 20 can obtain a personalized electrical stimulation prescription designed for a patient and then adjust the personalized electrical stimulation prescription. In some embodiments of the present disclosure, the generative artificial intelligence module 20 can directly obtain a personalized electrical stimulation prescription prescribed by a physician for a patient. Alternatively, in some embodiments of the present disclosure, the generative artificial intelligence module 20 can communicate with a physician (e.g., receive verbal instructions from a physician) to generate and obtain a personalized electrical stimulation prescription designed for a patient.

[0031] In at least one embodiment of the present disclosure, the generative artificial intelligence module 20 can obtain feedback information from a patient who has undergone a customized electrical stimulation prescription, and this feedback information can be used as reference information for subsequent adjustments to the customized electrical stimulation prescription. In some embodiments of the present disclosure, the generative artificial intelligence module 20 can directly obtain feedback information from a patient operating terminal B (e.g., an operating device such as an electrotherapy device, computer, tablet, or mobile phone) (e.g., the patient uses physiological sensing signals sensed and returned by the sensing element of the electrotherapy device during the treatment process in which the customized electrical stimulation prescription is performed, or the generative artificial intelligence module 20 receives feedback opinions from the patient). Alternatively, in some embodiments of the present disclosure, the generative artificial intelligence module 20 can communicate with a physician to obtain feedback information from a patient who has undergone a customized electrical stimulation prescription (e.g., receive feedback opinions from the patient conveyed by the physician, or receive an overall judgment made based on such feedback opinions).

[0032] In at least one embodiment of the present disclosure, the generative artificial intelligence module 20 adjusts a dedicated electrical stimulation prescription and generates a new dedicated electrical stimulation prescription based on feedback information and at least one reference electrical stimulation prescription found from a plurality of electrical stimulation prescriptions. In order to adjust the current dedicated electrical stimulation prescription, the generative artificial intelligence module 20 can find at least one of a plurality of prescription generation rules that fit the dedicated electrical stimulation prescription, in addition to the aforementioned received feedback information, and can then find at least one associated reference electrical stimulation prescription from the plurality of electrical stimulation prescriptions as another reference information for subsequent adjustment of the dedicated electrical stimulation prescription. In other words, the setting conditions applicable to any reference electrical stimulation prescription found must match or be similar to the setting conditions applicable to the dedicated electrical stimulation prescription, and the generative artificial intelligence module 20 adjusts the dedicated electrical stimulation prescription and generates a new dedicated electrical stimulation prescription based on the feedback information and at least one reference electrical stimulation prescription.

[0033] In at least one embodiment of the present disclosure, the prescription editing module 30 displays a new dedicated electrical stimulation prescription on a physician's terminal A (e.g., an operating device such as a computer, tablet, or mobile phone) so that the physician on the physician's terminal A can review and / or edit it. In some embodiments of the present disclosure, the prescription editing module 30 may be a combination of a hardware device with prescription editing capabilities, such as a processor, and associated prescription editing software, and the aforementioned prescription editing software may be stored in a hardware device with data storage capabilities, but the present disclosure is not limited thereto, for example, the prescription editing module 30 may be independent software or hardware. In some embodiments of the present disclosure, the prescription editing module 30 can generate a user interface, and the physician's terminal A displays the user interface after running an associated application, displaying at least one carrier signal and a plurality of script command codes of a new dedicated electrical stimulation prescription, each script command code corresponding to a local segment of any carrier signal. In some embodiments of the present disclosure, each script command code includes at least one of the duration and amplitude corresponding to the local segment.

[0034] In at least one embodiment of the present disclosure, a physician can edit and / or modify any script command code of a new dedicated electrical stimulation prescription via a user interface displayed on physician terminal A, and can determine whether the edited and / or modified content is correct by a local segment of the carrier signal corresponding to the modified script command code. In some embodiments of the present disclosure, after confirmation, the physician can send confirmation information of the modified new dedicated electrical stimulation prescription to prescription editing module 30 via the user interface of physician terminal A. In some embodiments of the present disclosure, after receiving the confirmation information, prescription editing module 30 can store the new dedicated electrical stimulation prescription in prescription database 10 and associate it with one of a plurality of prescription generation rules, thereby adding the new dedicated electrical stimulation prescription as one of a plurality of electrical stimulation prescriptions.

[0035] Please refer to Figures 1 and 2 below. Figure 2 is a flowchart of the method for generating the electrical stimulation formula of the present disclosure. As shown in Figures 1 and 2, in at least one embodiment, the method for generating the electrical stimulation formula of the present disclosure is performed by the aforementioned electrical stimulation formula generation system 1, and the method for generating the electrical stimulation formula of the present disclosure includes the following steps.

[0036] S11, using the generative artificial intelligence module 20, obtains a dedicated electrical stimulation prescription designed for the target patient.

[0037] Specifically, the method for generating electrical stimulation prescriptions of this disclosure allows the generative artificial intelligence module 20 to obtain a dedicated electrical stimulation prescription designed for a target patient and then adjust the dedicated electrical stimulation prescription. As described above, in some embodiments of this disclosure, the generative artificial intelligence module 20 can directly obtain a dedicated electrical stimulation prescription prescribed by a physician for a target patient. For example, the generative artificial intelligence module 20 can obtain a dedicated electrical stimulation prescription prescribed and stored by a physician via various hardware storage devices (e.g., hard drives, USB flash drives, or memory cards) or network storage media (e.g., cloud platforms or servers).

[0038] In some embodiments of this disclosure, the generative artificial intelligence module 20 can also communicate directly with a physician to generate and retrieve an electrical stimulation prescription designed for a target patient. For example, the physician can use the prescription editing module 30 to input prescription generation information into a user interface displayed on the physician's terminal A (for example, the physician can input text commands using an input device such as a keyboard or handwriting tablet via the physician's terminal A, or input verbal commands using an audio input device such as a microphone). After receiving the prescription generation information, the prescription editing module 30 transmits the generated prescription information to the generative artificial intelligence module 20, which generates a number of initial script command codes for a dedicated electrical stimulation prescription for the target patient based on the prescription generation information, and can display this dedicated electrical stimulation prescription on a user interface displayed on the physician's terminal A by the prescription editing module 30. The dedicated electrical stimulation prescription displayed on the user interface includes a number of initial script command codes and corresponding carrier signals converted based on these initial script command codes, so that the physician can directly confirm the contents of the dedicated electrical stimulation prescription and adjust or modify the carrier signals via the user interface. Once the physician confirms that the dedicated electrical stimulation prescription is correct, they can input and transmit confirmation information for the dedicated electrical stimulation prescription via the user interface of the physician's terminal A. After receiving the confirmation information for the dedicated electrical stimulation prescription transmitted from the physician's terminal A, the generating artificial intelligence module 20 can acquire the dedicated electrical stimulation prescription.

[0039] In step S12, the generative artificial intelligence module 20 obtains feedback information from the target patient who has undergone a dedicated electrical stimulation prescription.

[0040] After obtaining a dedicated electrical stimulation prescription designed for the target patient in step S11 described above, the method for generating electrical stimulation prescriptions of this disclosure uses a generative artificial intelligence module 20 to obtain feedback information from the target patient who has undergone the dedicated electrical stimulation prescription, and uses this as reference information for subsequent adjustments to the dedicated electrical stimulation prescription. As described above, in some embodiments of this disclosure, the feedback information may be provided by the target patient via the patient operation terminal B, by the physician via the physician operation terminal A, or by the physician making an overall judgment based on the feedback opinion.

[0041] In step S13, the generative artificial intelligence module 20 adjusts a dedicated electrical stimulation prescription and generates a new dedicated electrical stimulation prescription based on feedback information and at least one reference electrical stimulation prescription found from multiple electrical stimulation prescriptions in the prescription database 10.

[0042] In the method for generating an electrical stimulation prescription of this disclosure, after obtaining feedback information from a target patient who has undergone a dedicated electrical stimulation prescription in step S12 described above, the generative artificial intelligence module 20 finds at least one reference electrical stimulation prescription from among multiple electrical stimulation prescriptions in the prescription database 10, adjusts the dedicated electrical stimulation prescription based on the obtained feedback information and the at least one reference electrical stimulation prescription, and generates a new, adjusted dedicated electrical stimulation prescription. As described above, in some embodiments of this disclosure, the generative artificial intelligence module 20 compares the setting conditions applicable to the current dedicated electrical stimulation prescription with multiple prescription generation rules in the prescription database 10 to find at least one prescription generation rule that better matches or approximates the scenario of the dedicated electrical stimulation prescription, and then, based on the at least one prescription generation rule that better matches or approximates, finds at least one associated reference electrical stimulation prescription from among multiple electrical stimulation prescriptions, which can be used as additional reference information for adjusting the dedicated electrical stimulation prescription. The generative artificial intelligence module 20 can then adjust the dedicated electrical stimulation prescription based on feedback information from the patient undergoing the dedicated electrical stimulation prescription and at least one reference electrical stimulation prescription associated with the dedicated electrical stimulation prescription, thereby generating a new, adjusted dedicated electrical stimulation prescription.

[0043] S14, the prescription editing module 30 displays a new dedicated electrical stimulation prescription on the physician's terminal A for confirmation and / or editing.

[0044] After adjusting the dedicated electrical stimulation prescription in step S13 described above and generating a new dedicated electrical stimulation prescription, the method for generating an electrical stimulation prescription of the present disclosure displays the new dedicated electrical stimulation prescription on the physician's terminal A by the prescription editing module 30, allowing the physician to confirm and / or edit the contents of the new dedicated electrical stimulation prescription. As described above, in some embodiments of the present disclosure, the prescription editing module 30 displays at least one carrier signal and a plurality of script command codes of the new dedicated electrical stimulation prescription on a user interface displayed on the physician's terminal A, so that the physician can edit and / or modify any script command code of the new dedicated electrical stimulation prescription via the user interface, and displays the local segment of the carrier signal corresponding to the modified content of the modified script command code on the user interface, so that the physician can determine whether the edited and / or modified content is correct.

[0045] In step S15, the prescription editing module 30 receives confirmation information for the new dedicated electrical stimulation prescription from the physician's terminal A and provides the new dedicated electrical stimulation prescription to the target patient in order to perform electrical stimulation therapy.

[0046] In step S14 described above, after the new dedicated electrical stimulation prescription is displayed on the physician's terminal A for confirmation and / or editing, the physician can send confirmation information of the new dedicated electrical stimulation prescription to the prescription editing module 30 via the user interface displayed on the physician's terminal A. After receiving the confirmation information, the prescription editing module 30 determines that the new dedicated electrical stimulation prescription has been authenticated by the physician and provides the new dedicated electrical stimulation prescription to the patient's terminal B as the latest prescription for the patient to receive electrical stimulation therapy, replacing the original dedicated electrical stimulation prescription before adjustment. In some embodiments of this disclosure, the new dedicated electrical stimulation prescription is generated by the generative artificial intelligence module 20 by adjusting the original dedicated electrical stimulation prescription based on feedback opinions and reference electrical stimulation prescriptions applicable to similar setting conditions, thereby better meeting the current needs and condition of the patient and resulting in a superior electrical stimulation therapy effect.

[0047] In at least one embodiment, the method for generating an electrical stimulation prescription according to the present disclosure further includes step S16 of storing a new dedicated electrical stimulation prescription in a prescription database 10 according to confirmation information and adding it as one of a plurality of electrical stimulation prescriptions, the new dedicated electrical stimulation prescription being associated with one of a plurality of prescription generation rules.

[0048] In the method for generating electrical stimulation prescriptions of this disclosure, after receiving confirmation information for a new dedicated electrical stimulation prescription in step S15 described above, the prescription editing module 30 can further store the new dedicated electrical stimulation prescription in the prescription database 10 based on that confirmation information and add it as one of several electrical stimulation prescriptions. As described above, in some embodiments of this disclosure, after receiving confirmation information, the prescription editing module 30 can determine that the new dedicated electrical stimulation prescription has actually been authenticated by a physician and store the new dedicated electrical stimulation prescription in the prescription database 10, thereby adding the new dedicated electrical stimulation prescription as one of several electrical stimulation prescriptions. In some embodiments of this disclosure, the prescription editing module 30 can associate the new dedicated electrical stimulation prescription with one of several prescription generation rules according to setting conditions applicable to the new dedicated electrical stimulation prescription. Thus, the new dedicated electrical stimulation prescription can subsequently be used as a reference electrical stimulation prescription, increasing the number of reference and applicable electrical stimulation prescriptions in the prescription database 10.

[0049] Referring to Figure 3, Figure 3 is a system block diagram of another embodiment of the electrical stimulation prescription generation system 1a of the present disclosure. As shown in Figure 3, in at least one embodiment of the present disclosure, the electrical stimulation prescription generation system 1a further includes a patient database 40 electrically connected to a generative artificial intelligence module 20. In some embodiments of the present disclosure, the patient database 40 is primarily used to store patient information as reference data used by the generative artificial intelligence module 20 when preparing a personalized electrical stimulation prescription for a target patient. In some embodiments of the present disclosure, the patient database 40 may be configured as a hardware device with data storage capabilities, such as a hard disk, but the present disclosure is not limited thereto, for example, the patient database 40 may be a combination of a hardware device and associated data storage or management software.

[0050] In some embodiments of this disclosure, patient information includes historical data of personalized electrical stimulation prescriptions administered to the patient. In other words, through the historical data, it is possible to know each personalized electrical stimulation prescription previously administered to the patient and its associated details, which the generative artificial intelligence module 20 can learn and refer to. In at least one embodiment of this disclosure, patient information further includes at least one of the patient's basic personal data and medical history data. In other words, by combining the basic personal data and medical history data with the aforementioned historical data, it is possible to know under what physiological conditions the patient was prescribed the corresponding personalized electrical stimulation prescription, which the generative artificial intelligence module 20 can learn and refer to.

[0051] Please refer to Figures 3 and 4 below. Figure 4 is a flowchart of another embodiment of the method for generating the electrical stimulation formula of the present disclosure. As shown in Figures 3 and 4, in at least one embodiment, the method for generating the electrical stimulation formula of the present disclosure is performed by the aforementioned electrical stimulation formula generation system 1a, and in the method for generating the electrical stimulation formula of the present disclosure, step S13 in Figure 2 is replaced by step S13a.

[0052] In step S13a, the generative artificial intelligence module 20 further acquires patient information of the target patient, and the generative artificial intelligence module 20 adjusts a dedicated electrical stimulation prescription based on the patient information, feedback information, and at least one reference electrical stimulation prescription found from multiple electrical stimulation prescriptions in the prescription database 10, thereby generating a new dedicated electrical stimulation prescription.

[0053] In the method for generating electrical stimulation prescriptions of this disclosure, after obtaining feedback information from a target patient who has undergone a dedicated electrical stimulation prescription in step S12, patient information of the target patient can be obtained from the patient database 40 via the generative artificial intelligence module 20 as additional reference information for adjusting the dedicated electrical stimulation prescription. In at least one embodiment of this disclosure, the generative artificial intelligence module 20 can better learn and understand the setting conditions corresponding to the currently prescribed dedicated electrical stimulation prescription in conjunction with the acquired patient information, and thus be able to more accurately find at least one reference electrical stimulation prescription from multiple electrical stimulation prescriptions in the prescription database 10, and adjust the dedicated electrical stimulation prescription and generate a new adjusted dedicated electrical stimulation prescription based on the acquired patient information, feedback information, and at least one reference electrical stimulation prescription.

[0054] In at least one embodiment of the present disclosure, patient terminal B may pre-download and install an application from a cloud platform, log in to the cloud platform via an operating interface after the application has been executed, and use the associated operating interface to download a specific personalized electrical stimulation prescription applied to the patient from the cloud platform. In some embodiments of the present disclosure, the downloaded personalized electrical stimulation prescription is stored in patient terminal B. The patient may also complete a questionnaire via the aforementioned operating interface and send it back to the cloud platform as appropriate feedback for the physician to use as a reference or to adjust subsequent electrical stimulation prescriptions.

[0055] As shown in Figure 5, this is a schematic diagram illustrating how a physician edits a dedicated electrical stimulation prescription via a user interface 500 displayed on a physician operating terminal A of the present disclosure. In some embodiments of the present disclosure, the user interface 500 includes a text script editing area 510 and a carrier signal display area 520, the text script editing area 510 being used to edit the script command code of the carrier signal of the electrical stimulation prescription to be generated, and the carrier signal display area 520 being used to display the carrier signal generated by the script command code. In some embodiments of the present disclosure, the script command code may include, but is not limited to, numerical information such as a start time, an end time, an upper amplitude limit, and a lower amplitude limit.

[0056] For example, as shown in Figure 5, in some embodiments of the present disclosure, if the start and end times of editing are 0 milliseconds and 60 milliseconds, respectively, and the upper and lower amplitude values ​​are 35 and -35, respectively, the script command code may be displayed as "(0, 60, 35, -35)". Similarly, if the script command code is displayed as "(240, 660, 200, -200)", it means that the start and end times of editing are 240 milliseconds and 660 milliseconds, respectively, and the upper and lower amplitude values ​​are 200 and -200, respectively.

[0057] In some embodiments of the present disclosure, in addition to editing the desired carrier signal through the text script editing area 510, the physician can also draw the desired carrier signal by clicking on a rectangular block formed by longitude and latitude lines in the carrier signal display area 520. In some embodiments of the present disclosure, after the physician draws the desired carrier signal by clicking on a rectangular block formed by longitude and latitude lines in the carrier signal display area 520, the user interface 500 also displays the script command code corresponding to the drawn carrier signal in the text script editing area 510, making it easier for the physician to further verify whether the modified numerical content is correct.

[0058] Accordingly, the electrical stimulation prescription generation system of this disclosure can communicate with a physician via a generative artificial intelligence module or obtain a dedicated electrical stimulation prescription for a target patient from a physician, and adjust the dedicated electrical stimulation prescription based on feedback information from the target patient who has performed the dedicated electrical stimulation prescription, as well as at least one reference electrical stimulation prescription with similar setting conditions in the dedicated electrical stimulation prescription and patient-related information. The physician can also review and / or modify the adjusted new dedicated electrical stimulation prescription via the user interface of the electrical stimulation prescription generation system, thereby assisting the physician in prescribing or adjusting the dedicated electrical stimulation prescription, reducing the physician's workload and allowing the dedicated electrical stimulation prescription to be better suited to the current condition of the target patient.

[0059] The embodiments described above are essentially illustrative and are not intended to limit the claimed embodiments or the application of the embodiments described herein. Furthermore, while at least one exemplary embodiment is provided in the embodiments described herein, it should be understood that numerous variations are possible in this disclosure. It should also be understood that the embodiments described herein are not intended to limit in any way the scope, use, or aspects of the claimed subject matter. Rather, the embodiments serve as a convenient guide for those skilled in the art to implement one or more of the embodiments described herein. Moreover, various modifications can be made to the function and arrangement of the elements without departing from the scope defined by this patent application, which includes known equivalents and all foreseeable equivalents at the time of filing this patent application. [Explanation of Symbols]

[0060] 1. 1a. Electrical stimulation prescription generation system 10. Prescription Database 20. Generative Artificial Intelligence Module 30. Prescription editing module 40. Patient Database 500, User Interface 510. Text script editing area 520, Carrier signal display area A, Physician's operating terminal B, Patient operating terminal S11-S16, S13a, Step.

Claims

1. A method for generating an electrical stimulation prescription, The generative artificial intelligence module obtains a customized electrical stimulation prescription designed for the target patient, and The process involves obtaining feedback information from the target patient who has undergone the dedicated electrical stimulation prescription using the generative artificial intelligence module, The generative artificial intelligence module adjusts the dedicated electrical stimulation prescription based on the feedback information and at least one reference electrical stimulation prescription found from multiple electrical stimulation prescriptions in the prescription database, and generates a new dedicated electrical stimulation prescription. The prescription editing module includes the steps of displaying the new dedicated electrical stimulation prescription on the physician's terminal for confirmation and / or editing, A method for generating an electrical stimulation prescription, characterized by comprising the steps of: receiving confirmation information from the physician's terminal for the new dedicated electrical stimulation prescription via the prescription editing module; and providing the new dedicated electrical stimulation prescription for the target patient to perform electrical stimulation therapy.

2. The method for generating an electrical stimulation prescription according to claim 1, characterized in that the generative artificial intelligence module includes a large-scale language model to which search extension generation technology is applied.

3. The process further includes storing the new dedicated electrical stimulation prescription in the prescription database in accordance with the confirmation information and adding it as one of the multiple electrical stimulation prescriptions, The method for generating an electrical stimulation formulation according to claim 1, characterized in that the new dedicated electrical stimulation formulation is associated with one of a plurality of formulation generation rules.

4. The method for generating an electrical stimulation prescription according to claim 1, further comprising the step of acquiring patient information of the target patient by the generative artificial intelligence module, wherein the generative artificial intelligence module further adjusts the dedicated electrical stimulation prescription based on the patient information, the feedback information, and the at least one reference electrical stimulation prescription to generate the new dedicated electrical stimulation prescription.

5. The method for generating an electrical stimulation prescription according to claim 4, characterized in that the patient information includes historical data of a dedicated electrical stimulation prescription administered to the target patient.

6. The method for generating an electrical stimulation prescription according to claim 5, characterized in that the patient information further includes at least one of the basic personal data and medical history data of the target patient.

7. The method for generating an electrical stimulation prescription according to claim 1, characterized in that the prescription editing module generates a user interface for displaying at least one carrier signal and a plurality of script command codes of the new dedicated electrical stimulation prescription, each of which script command codes corresponds to one local segment of the carrier signal.

8. The method for generating an electrical stimulation prescription according to claim 7, characterized in that each script command code includes at least one of the duration and amplitude corresponding to the local segment.

9. The method for generating an electrical stimulation prescription according to claim 1, characterized in that the generative artificial intelligence module autonomously learns based on the plurality of electrical stimulation prescriptions to establish a plurality of prescription generation rules, and any one of the electrical stimulation prescriptions is associated with one of the plurality of prescription generation rules, and the generative artificial intelligence module finds at least one of the plurality of prescription generation rules that is suitable for the dedicated electrical stimulation prescription and finds the associated at least one reference electrical stimulation prescription.

10. The method for generating an electrical stimulation prescription according to any one of claims 1 to 9, characterized in that the generation type artificial intelligence module generates the dedicated electrical stimulation prescription based on prescription generation information input from the physician's operating terminal, and the prescription editing module acquires the dedicated electrical stimulation prescription after receiving the confirmation information from the physician's operating terminal regarding the dedicated electrical stimulation prescription.

11. The method for generating an electrical stimulation prescription according to claim 10, characterized in that the prescription generation information includes verbal commands entered via the voice input device of the physician's operating terminal.

12. An electrical stimulation prescription generation system, A prescription database that stores multiple electrical stimulation prescriptions, A generative artificial intelligence module that acquires a dedicated electrical stimulation prescription designed for a target patient and feedback information from the target patient who has undergone the dedicated electrical stimulation prescription, and adjusts the dedicated electrical stimulation prescription based on the feedback information and at least one reference electrical stimulation prescription found from the plurality of electrical stimulation prescriptions to generate a new dedicated electrical stimulation prescription, An electrical stimulation prescription generation system characterized by including a prescription editing module that displays the new dedicated electrical stimulation prescription on a physician's terminal for confirmation and / or editing, and after receiving confirmation information from the physician's terminal for the new dedicated electrical stimulation prescription, provides the new dedicated electrical stimulation prescription for the target patient to perform electrical stimulation therapy.

13. The electrical stimulation prescription generation system according to claim 12, characterized in that the generative artificial intelligence module includes a large-scale language model to which search augmentation and generation technology is applied.

14. The electrical stimulation prescription generation system according to claim 12, characterized in that the prescription editing module stores the new dedicated electrical stimulation prescription in the prescription database in accordance with the confirmation information and adds it as one of the plurality of electrical stimulation prescriptions, and the new dedicated electrical stimulation prescription is associated with one of the plurality of prescription generation rules.

15. The electrical stimulation prescription generation system according to claim 12, further comprising a patient database, wherein the generative artificial intelligence module obtains patient information of the target patient from the patient database, and the generative artificial intelligence module further adjusts the dedicated electrical stimulation prescription based on the patient information, the feedback information, and the at least one reference electrical stimulation prescription to generate the new dedicated electrical stimulation prescription.

16. The electrical stimulation prescription generation system according to claim 15, characterized in that the patient information includes historical data of a dedicated electrical stimulation prescription administered to the target patient.

17. The electrical stimulation prescription generation system according to claim 16, characterized in that the patient information further includes at least one of the basic personal data and medical history data of the target patient.

18. The electrical stimulation prescription generation system according to claim 12, characterized in that the prescription editing module generates a user interface for displaying at least one carrier signal and a plurality of script command codes of the new dedicated electrical stimulation prescription, each of which script command codes corresponds to one local segment of the carrier signal.

19. The electrical stimulation prescription generation system according to claim 18, characterized in that each script command code includes at least one of the duration and amplitude corresponding to the local segment.

20. The electrical stimulation prescription generation system according to claim 12, characterized in that the generative artificial intelligence module autonomously learns based on the plurality of electrical stimulation prescriptions to establish a plurality of prescription generation rules and stores them in the prescription database, and any one of the electrical stimulation prescriptions is associated with one of the plurality of prescription generation rules, and the generative artificial intelligence module finds at least one of the plurality of prescription generation rules that is suitable for the dedicated electrical stimulation prescription and finds the associated at least one reference electrical stimulation prescription.

21. The electrical stimulation prescription generation system according to any one of claims 12 to 20, characterized in that the generative artificial intelligence module generates the dedicated electrical stimulation prescription based on prescription generation information input from the physician's operating terminal, and the prescription editing module acquires the dedicated electrical stimulation prescription after receiving the confirmation information from the physician's operating terminal regarding the dedicated electrical stimulation prescription.

22. The electrical stimulation prescription generation system according to claim 21, characterized in that the prescription generation information includes verbal commands entered via the voice input device of the physician's operating terminal.