Method and apparatus for providing cognitive behavior therapy to patients with temporomandibular disorder

Abstract

An apparatus according to one aspect of the present invention comprises: at least one memory; and at least one processor, wherein the at least one processor provides a plurality of preliminary test items to a user to obtain an input for the plurality of preliminary test items from the user, provides a plurality of treatment programs to the user on the basis of the user's input for the plurality of preliminary test items, and provides reports at predetermined intervals on the basis of data relating to the user's performance of the plurality of treatment programs.

Description

Method and device for providing cognitive behavioral therapy to patients with temporomandibular joint disorder

[0001] The present disclosure relates to a method and device for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder.

[0002] "Digital therapeutics" are intangible software that treats patients through artificial intelligence, VR, chatbots, games, and applications, but they go through clinical trials to verify their effectiveness, regulatory review, doctor's prescription, and insurance coverage, just like regular pharmaceuticals. As the development of digital therapeutics, which has emerged as a new treatment method thanks to recent advancements in ICT technology, is in full swing, the software itself is directly influencing the treatment of diseases.

[0003] The medical device market is experiencing rapid growth due to the global demand for healthcare and the growing aging population. The digital therapeutics market, a submarket, is also experiencing growing demand, presenting a bright outlook. In particular, digital therapeutics are attracting increasing attention as software technology itself goes beyond disease diagnosis, patient monitoring, and decision support to directly impact the prevention, management, and treatment of disabilities and diseases. Consequently, the medical device industry is developing various technologies for digital therapeutics targeting a variety of diseases.

[0004] However, in the past, only technologies for providing users with digital treatments for mental illnesses such as depression and insomnia were disclosed, and no technologies for providing users with digital treatments for illnesses related to the user's body, particularly those related to the temporomandibular joint, were disclosed.

[0005] Accordingly, the present disclosure seeks to provide a digital therapeutic that enables users to receive cognitive behavioral therapy for patients with temporomandibular joint disorder.

[0006] The present invention provides a method and device for providing cognitive behavioral therapy to patients with temporomandibular joint disorder (TMJ). Furthermore, the present invention provides a computer-readable recording medium containing a program for executing the method on a computer. The technical challenges to be addressed are not limited to the technical challenges described above, and other technical challenges may also exist.

[0007] According to one aspect of the present disclosure, a method for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder may be provided, comprising: providing a plurality of pre-test items to a user and obtaining input from the user regarding the plurality of pre-test items; providing a plurality of treatment programs to the user based on the user's input regarding the plurality of pre-test items; and providing a report at preset intervals based on data on the user performing the plurality of treatment programs.

[0008] According to another aspect of the present disclosure, a device includes a memory storing at least one program; and at least one processor executing the at least one program; wherein the at least one processor provides a plurality of pre-test items to a user and obtains input from the user regarding the plurality of pre-test items, provides a plurality of treatment programs to the user based on the user's input regarding the plurality of pre-test items, and provides a report at a preset period based on data on the user performing the plurality of treatment programs.

[0009] A computer-readable recording medium according to another aspect of the present disclosure includes a recording medium having recorded thereon a program for executing the above-described method on a computer.

[0010] Digital therapeutics can be provided to patients based on the professional medical knowledge of medical professionals.

[0011] Additionally, patient information can be provided to medical professionals even if the patient does not visit the hospital in person.

[0012] Additionally, patients can be aware of their current condition in real time and receive cognitive behavioral therapy.

[0013] However, the effects of the examples are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by a person having ordinary skill in the art from the description of the present invention.

[0014] FIG. 1 is a diagram illustrating an example of a system for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder according to one embodiment.

[0015] FIG. 2 is a schematic diagram illustrating an example of a device for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder according to one embodiment.

[0016] FIG. 3 is a flowchart illustrating an example of a method for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder according to one embodiment.

[0017] FIG. 4 is a drawing for explaining an example of a plurality of pre-inspection items according to one embodiment.

[0018] FIGS. 5A to 5I are diagrams illustrating an example of a method for providing a plurality of pre-check items to a user according to one embodiment.

[0019] FIG. 6 is a diagram illustrating an example of multiple treatment programs according to one embodiment.

[0020] FIGS. 7A to 7N are diagrams illustrating another example of a method for providing a plurality of treatment programs to a user according to one embodiment.

[0021] FIGS. 8A to 8D are diagrams illustrating an example of a method for providing a report to a user according to one embodiment.

[0022] The terms used in the examples are selected from widely used, current terms, as much as possible. However, these terms may vary depending on the intentions of those skilled in the art, precedents, the emergence of new technologies, etc. Furthermore, in certain cases, the applicant may arbitrarily select terms, in which case their meanings will be described in detail in the relevant description. Therefore, the terms used in the specification should be defined based on their intended meaning and the overall content of the specification, rather than simply their names.

[0023] When a part of the specification is said to "include" a component, this does not exclude other components, but rather implies the inclusion of other components, unless otherwise specifically stated. Furthermore, terms such as "unit" and "module" used throughout the specification mean a unit that processes at least one function or operation, which may be implemented in hardware, software, or a combination of hardware and software.

[0024] Additionally, terms including ordinal numbers, such as "first" or "second," used in the specification may be used to describe various components, but the components should not be limited by the terms. The terms may be used to distinguish one component from another.

[0025] The present disclosure will be described in detail with reference to the attached drawings. However, the embodiments may be implemented in various different forms and are not limited to the examples described herein.

[0026] FIG. 1 is a diagram illustrating an example of a system for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder according to one embodiment.

[0027] Referring to FIG. 1, a system (hereinafter, system) (1) for providing cognitive behavioral therapy to a patient with temporomandibular joint disease may include a patient (10), a medical professional (100), a device (20) for providing cognitive behavioral therapy to a patient with temporomandibular joint disease, and a server (30).

[0028] Cognitive behavioral therapy (CBT) is one of the most effective and widely used treatment methods in modern psychotherapy. It is a treatment method that combines cognitive therapy and behavioral therapy to solve health problems by changing an individual's way of thinking and behavioral patterns.

[0029] For example, the server (30) may be a device that communicates with an external device (not shown), including a device (20) that provides cognitive behavioral therapy to a patient with temporomandibular joint disorder. In addition, the server (30) may be a device that stores various data including disease information, diagnosis information, treatment information, cognitive behavioral therapy program data, etc. of the patient (10). Alternatively, the server (30) may be a computing device that includes a memory and a processor and has its own computing capability. In addition, the server (30) may perform at least some of the operations of the device (20) that will be described later with reference to FIGS. 1 to 8d. For example, the server (30) may be a cloud server, but is not limited thereto.

[0030] For example, the server (30) can provide management services to the patient (10) by linking the patient's (10) diagnosis information, disease information, and treatment information.

[0031] For example, the server (30) and the device (20) can secure the memory capacity included in the server (30) and the device (20) by storing data selected based on the type of data. In addition, the server (30) and the device (20) can secure a fast data communication speed by transmitting and receiving data selected based on the importance of the data.

[0032] Meanwhile, a device (20) that provides cognitive behavioral therapy to a patient with temporomandibular joint disease will be described later with reference to FIG. 2.

[0033] For example, a medical professional (100) can provide a patient (10) with cognitive behavioral therapy related to temporomandibular joint disorder by using a device (20) and a server (30) that provide cognitive behavioral therapy to a patient with temporomandibular joint disorder. In addition, the medical professional (100) can obtain treatment information of the patient (10) from the patient (10) through the device (20) or the server (30), thereby determining the current condition of the patient (10), and recommend a treatment program accordingly.

[0034] For example, a medical professional (100) can use the patient's (10) disease information and diagnosis information to recommend and provide a treatment program suitable for the patient (10).

[0035] For example, a patient (10) may undergo a cognitive behavioral therapy program and receive reports on the progress of the program. Accordingly, the patient (10) may be able to resolve health issues by understanding and recognizing his or her current condition in real time.

[0036] FIG. 2 is a schematic diagram illustrating an example of a device for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder according to one embodiment.

[0037] Referring to FIG. 2, a device (hereinafter referred to as "device") (200) for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder may include a communication unit (210), a processor (220), and a memory (230). Only components related to the embodiment are illustrated in the device (200) of FIG. 2. Therefore, it will be apparent to those skilled in the art that other general components may be included in addition to the components illustrated in FIG. 2.

[0038] The communication unit (210) may include one or more components that enable wired / wireless communication with a server or external device. For example, the communication unit (210) may include a short-range communication unit (not shown) and a mobile communication unit (not shown) for communication with a server or external device.

[0039] The processor (220) controls the overall operation of the device (200). For example, the processor (220) can control the input unit (not shown), the display (not shown), the communication unit (210), the memory (230), etc., by executing programs stored in the memory (230).

[0040] The processor (220) may be implemented using at least one of application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

[0041] The processor (220) can control the operation of the device (200) by executing programs stored in the memory (230). As an example, the processor (220) can perform at least a portion of the method of providing cognitive behavioral therapy to a patient with temporomandibular joint disorder, described with reference to FIGS. 3 to 8D.

[0042] The memory (230) is hardware that stores various data processed within the device (200), and can store a program for processing and controlling the processor (220).

[0043] For example, the memory (230) may store various data, such as patient disease information, diagnosis information, treatment information, cognitive behavioral therapy program data, and data generated according to the operation of the processor (220). In addition, the memory (230) may store an operating system (OS) and at least one program (e.g., a program required for the processor (220) to operate).

[0044] The memory (230) may include random access memory (RAM) such as dynamic random access memory (DRAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), CD-ROM, Blu-ray or other optical disk storage, hard disk drive (HDD), solid state drive (SSD), or flash memory.

[0045] FIG. 3 is a flowchart illustrating an example of a method for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder according to one embodiment.

[0046] Referring to FIG. 3, a method for providing cognitive behavioral therapy to a patient with temporomandibular joint disorder (TMJD) may include steps 310 to 330. However, the present invention is not limited thereto, and other general steps may be further included in the method for providing cognitive behavioral therapy to a patient with TMJD in addition to the steps illustrated in FIG. 3. Furthermore, as described above with reference to FIG. 1, at least one of the steps in the flowchart illustrated in FIG. 2 may be processed by a processor.

[0047] First, in step 310, the processor can obtain input from the user for the plurality of pre-test items by providing the user with a plurality of pre-test items.

[0048] For example, the processor may provide the user with general test items included in a plurality of pre-test items, and obtain input from the user regarding whether the user has pain in the temporomandibular joint corresponding to the general test items, whether the user has discomfort when opening the mouth, and the user's current stress level.

[0049] For example, the processor may provide the user with a pain record item included in a plurality of pre-test items, and obtain input from the user regarding at least one area where the user feels pain and the degree of pain corresponding to the pain record item.

[0050] For example, the processor may obtain input from the user regarding at least one point or area where the user feels pain. Furthermore, the processor may determine whether the input satisfies a predetermined condition and obtain the input determined to satisfy the predetermined condition.

[0051] For example, the processor may provide the user with a usage restriction test item included in a plurality of pre-test items, and obtain input from the user as to whether there is a restriction when using the temporomandibular joint corresponding to the usage restriction test item.

[0052] For example, the processor may provide the user with a behavioral test item included in a plurality of pre-test items, and obtain input from the user about the user's bad habits and bad behaviors corresponding to the behavioral test item.

[0053] For example, the processor may provide the user with a stress test item included in a plurality of pre-test items, and obtain input from the user regarding the user's stress level corresponding to the stress test item.

[0054] For example, the processor may provide the user with behavioral therapy setting items included in a plurality of pre-test items, and obtain input from the user regarding the user's first and second actions corresponding to the behavioral therapy setting items. Furthermore, the processor may obtain input only for the first action, without input for the second action.

[0055] In step 320, the processor may provide the user with multiple treatment programs based on the user's input regarding multiple pre-test items. The multiple treatment programs may include a behavioral therapy program, an exercise therapy program, a meditation therapy program, a pain recording program, a health diary program, and a medical information program.

[0056] For example, the processor may evaluate the importance of multiple treatment programs based on the user's input for multiple pre-test items, and provide the multiple treatment programs to the user based on the importance.

[0057] As an example, the processor may evaluate the importance of an exercise therapy program as high based on user input for a usage restriction test item included in a plurality of pre-test items, and provide the exercise therapy program to the user before the remaining programs included in the plurality of treatment programs.

[0058] As another example, the processor may evaluate the importance of a behavioral therapy program as high based on the user's input for a behavioral test item included in a plurality of pre-test items, and provide the behavioral therapy program to the user before the remaining programs included in the plurality of treatment programs.

[0059] As another example, the processor may evaluate the importance of a meditation therapy program as high based on the user's input for a stress test item included in a plurality of pre-test items, and provide the meditation therapy program to the user before the remaining programs included in the plurality of treatment programs.

[0060] For example, the processor may provide a behavioral therapy program to the user, obtain data from the user related to each of the user's first and second actions, and provide feedback data to the user based on the obtained data related to each of the first and second actions. Here, the first action may be an action that negatively impacts the user's temporomandibular joint health, and the second action may be an action that positively impacts the user's temporomandibular joint health. Furthermore, the processor may obtain only input regarding the first action that negatively impacts the user's temporomandibular joint health, without input regarding the second action.

[0061] For example, the processor may provide an exercise therapy program to the user and provide feedback data to the user based on data from the user's performance of the exercise therapy program.

[0062] Additionally, the processor may provide information related to a plurality of exercise regimens included in the exercise therapy program and provide the exercise therapy program based on either a first mode that provides images of the plurality of exercise regimens or a second mode that provides images of a user performing the plurality of exercise regimens.

[0063] For example, the processor may determine whether the user's image falls within a predetermined frame and, based on the determination, determine whether the user is performing exercise therapy. Furthermore, the processor may determine the degree to which the user's image matches the predetermined frame and, based on the determination, determine whether the user is performing exercise therapy. Furthermore, the processor may determine whether the user's image falls within a preset range and, based on the determination, determine whether the user is performing exercise therapy.

[0064] As another example, the processor may track the user's gaze based on the user's image and determine whether the user is performing an exercise regimen based on the user's gaze.

[0065] As another example, the processor may obtain information on the state of the user's eye area included in the user's image, and determine whether the user can perform exercise therapy based on the information on the state of the eye area.

[0066] For example, a processor may provide a pain recording program to a user, obtain data related to the pain the user feels, and provide medical information contained in a medical information program based on the pain-related data. Here, the processor may provide the pain recording program to the user along with examples of specific pain-related situations. Furthermore, based on the user's image and the user's pain recording, the processor may extract at least one area where the user feels pain from the user's image.

[0067] For example, a processor may provide a health diary program to a user and obtain health diary data generated based on the user's pain information. As one example, the processor may obtain health diary data generated based on the user's pain information input. As another example, the processor may obtain health diary data generated based on the user's previously entered pain records.

[0068] For example, the processor may provide a medical information program to a user and recommend medical information included in the medical information program to the user based on data related to a pain record item included in a plurality of pre-examination items.

[0069] For example, the processor may recommend one of a plurality of treatment programs to the user based on the user's pain duration.

[0070] At step 330, the processor can provide a report at preset intervals based on data from the user performing multiple treatment programs.

[0071] For example, the processor may obtain data on a user performing multiple treatment programs over a preset period of time, determine the degree of improvement or deterioration of the user's disease based on the data on the user performing multiple treatment programs, and provide the user with a report including a recommended treatment program based on the determined degree of improvement or deterioration of the user's disease.

[0072] For example, the processor may obtain at least one of data on a pain recording program or data on a behavioral therapy program included in a plurality of treatment programs for a preset period of time, and determine the degree of improvement or worsening of the user's disease based on at least one of data on a pain recording program or data on a behavioral therapy program.

[0073] Hereinafter, with reference to FIGS. 4 to 8d, the operations of a method for providing cognitive behavioral therapy to a patient with temporomandibular joint disease described above will be specifically described.

[0074] FIG. 4 is a drawing illustrating an example of a plurality of pre-inspection items according to one embodiment.

[0075] Hereinafter, with reference to FIG. 4, an example of multiple pre-check items provided by the processor to the user is described.

[0076] Referring to FIG. 4, the processor may provide a plurality of pre-check (400) items to the user.

[0077] For example, the processor may provide a plurality of pre-check (400) items to the user and obtain the user's input for the provided plurality of pre-check (400) items.

[0078] For example, multiple pre-test (400) items may include general test (410), pain record (420), use restriction test (430), behavioral test (440), stress test (450), behavioral therapy setting (460), and prescription drug information entry (470) items.

[0079] For example, a general examination (410) may be a test to obtain input regarding information related to the user's pain, stress information, etc., which is usually checked by an actual medical professional when treating the user.

[0080] For example, the pain record (420) may be a test to obtain input regarding specific information related to the user's pain. That is, the processor may obtain information from the user regarding the area where the user feels pain, the degree of pain, etc.

[0081] For example, the usage restriction test (430) may be a test to obtain input on whether the user has limitations in using the jaw joint, lower face, etc.

[0082] For example, the behavioral test (440) may be a test to obtain information related to the user's usual habits that negatively impact temporomandibular joint health. Accordingly, the processor may provide feedback based on the information related to the user's negatively impacting habits, allowing the user to recognize that the behaviors they engage in unconsciously are negatively impacting temporomandibular joint health.

[0083] For example, a stress test (450) may be a test to obtain information related to the stress that a user usually experiences.

[0084] For example, the behavioral therapy setting (460) may be a test to obtain input from the user regarding positive or negative behaviors, habits, etc. that may affect the health of the temporomandibular joint. Accordingly, the user may recognize positive or negative behaviors affecting the health of the temporomandibular joint, thereby increasing the frequency of positive behaviors and decreasing the frequency of negative behaviors.

[0085] For example, the prescription information entry (470) may be a test to obtain information related to the medications the user is taking. Accordingly, the processor may provide the user with notifications related to taking the prescription medication based on the medication-related information.

[0086] Meanwhile, the processor can periodically provide the user with items identical to the plurality of pre-check (400) items to obtain the user's input for the plurality of pre-check (400) items.

[0087] That is, the processor can provide the user with items identical to the pre-test (400) items on a regular basis from the time the user first receives cognitive behavioral therapy. Accordingly, the terms pre-test (400), weekly test, and comprehensive test used in this disclosure may all have the same meaning.

[0088] As a further example, the processor may periodically present the user with a plurality of pre-test (400) items and different items from the time the user first receives cognitive behavioral therapy.

[0089] For example, the processor may obtain information on the user's pain improvement or deterioration based on data obtained from the user's treatment program, and may provide the user with items different from the multiple pre-test items (400) based on the obtained pain improvement or deterioration information. In other words, the processor may prioritize providing the user with test items of high importance by reflecting the user's pain improvement or deterioration information.

[0090] As an example, the processor may obtain input regarding the user's initial pre-screening items and provide the user with a pre-screening report. As another example, the processor may obtain input regarding the user's regularly entered comprehensive screening items and provide the user with a comprehensive screening report. The specific details of each report will be described below.

[0091] That is, the pre-inspection items and comprehensive inspection items are the same, and only the time before and after the time provided to the user exist. The processor can create a pre-inspection report for the pre-inspection items that are first input by the user, and can create a comprehensive inspection report for the comprehensive inspection items that are regularly input by the user after providing the pre-inspection items.

[0092] In addition, even if the pre-examination items and comprehensive examination items are different, the processor can generate a pre-examination report for the pre-examination items initially input by the user, and generate a comprehensive examination report using user input for high-priority examination items provided based on the user's pain improvement or worsening information after providing the pre-examination items.

[0093] FIGS. 5A to 5I are diagrams illustrating an example of a method for providing a plurality of pre-check items to a user according to one embodiment.

[0094] Specifically, FIG. 5A is a diagram illustrating an example of a method for providing general test items to a user according to one embodiment. In addition, FIGS. 5B to 5C are diagrams illustrating an example of a method for providing pain record items to a user according to one embodiment. In addition, FIG. 5D is a diagram illustrating an example of a method for providing use-restricted test items to a user according to one embodiment. In addition, FIG. 5E is a diagram illustrating an example of a method for providing behavioral test items to a user according to one embodiment. In addition, FIG. 5F is a diagram illustrating an example of a method for providing stress test items to a user according to one embodiment. In addition, FIG. 5G is a diagram illustrating an example of a method for providing behavioral therapy setting items to a user according to one embodiment. In addition, FIG. 5H is a diagram illustrating an example of a method for providing prescription information input items to a user according to one embodiment. In addition, FIG. 5I is a diagram illustrating an example of a method for providing a pre-test report to a user according to one embodiment.

[0095] Hereinafter, with reference to FIGS. 5A to 5I, an example of a method in which a processor provides a user with a plurality of pre-check items is described.

[0096] First, referring to FIG. 5A, the processor may provide a general inspection (510) item to the user.

[0097] For example, the processor may provide the user with a general test (510) item included in a plurality of pre-test items, and obtain input from the user regarding whether there is pain in the temporomandibular joint corresponding to the general test (510) item, whether there is discomfort when opening the mouth, and the current stress level.

[0098] For example, a processor may obtain input from a user regarding whether or not they experience pain in the jaw joint, and if so, the intensity of the pain. The intensity of the pain may be entered as a score from 0 to 10, with lower scores indicating lesser intensity and higher scores indicating greater intensity. Furthermore, the intensity of the pain may be entered not only as a score, but also as a rating (high / medium / low), text, etc., but is not limited thereto.

[0099] For example, the processor may obtain input from the user regarding whether or not the user experiences discomfort when opening their mouth, and if so, how often the user experiences the discomfort. Examples of input may include, but are not limited to, whether the user experiences discomfort when opening their mouth, whether the user experiences discomfort occasionally / often / frequently / always, or how many times a day / week the user experiences the discomfort.

[0100] For example, the processor may obtain input from the user regarding their current stress level. The user's current stress level may be input as a score from 0 to 10, with lower scores indicating lower stress levels and higher scores indicating higher stress levels. Furthermore, the user's current stress level may be input not only as a score, but also as a rating (high / medium / low), text, etc., but is not limited thereto.

[0101] Referring to FIG. 5b, the processor may provide a pain record (520) entry to the user.

[0102] For example, the processor may provide the user with a pain record (520) item included in a plurality of pre-test items, and obtain input from the user about at least one part (521) where the user feels pain and the degree of pain corresponding to the pain record item.

[0103] For example, the processor may obtain input from the user regarding the area (521) of the user's left / right body where the user feels pain. Here, the processor may obtain input from the user regarding at least one point or area where the user feels pain. In other words, the processor may obtain input from the user regarding a specific area or region where the user feels pain.

[0104] As an example, the processor may obtain input from the user regarding a specific point where the user feels pain. As another example, the processor may obtain input from the user regarding a specific area where the user feels pain. The specific area may be determined by a user's drag input or input selecting multiple points. Here, the drag input may refer to an input in which the user directly touches a display or interface included in the device and moves it.

[0105] For example, the processor may obtain input from the user about the area (521) where the user feels pain, and then obtain input about the degree of pain in that area (521). Here, the degree of pain may be input as a score from 0 to 10, with a lower score indicating a lower intensity and a higher score indicating a greater pain. In addition, the degree of pain may be input not only as a score, but also as a grade of high / medium / low, text, etc., but is not limited thereto.

[0106] Additionally, the processor can obtain input from the user regarding a situation in which the user feels pain in the area (521).

[0107] Referring to FIG. 5c, the processor can obtain only inputs related to the user's pain that satisfy certain conditions.

[0108] First, in step 522, the processor can determine whether the input obtained from the user regarding at least one area where the user feels pain and the degree of pain satisfies a predetermined condition. Here, the predetermined condition may include obtaining a touch input or drag input that selects at least one area where the user feels pain.

[0109] Accordingly, the processor can determine whether the input for selecting at least one part of the user's body that feels pain is a touch input or a drag input, and can determine that the condition for obtaining the touch input or the drag input is satisfied based on the input being a touch input or a drag input.

[0110] At step 523, the processor can obtain an input determined to satisfy a predetermined condition.

[0111] For example, the processor may obtain an input regarding the degree of pain corresponding to the selected area based on determining that the input for selecting an area where the user feels pain satisfies a condition for obtaining a touch input or a drag input.

[0112] Therefore, the processor can provide the user with an opportunity to recognize his or her own pain by obtaining only inputs that satisfy certain conditions during the process of inputting the part where the user feels pain and the degree of pain in that part.

[0113] Referring to FIG. 5d, the processor may provide the user with a usage restriction check (530) item.

[0114] For example, the processor may provide the user with a usage restriction check (530) item included in a plurality of pre-check items, and obtain input from the user as to whether there is a restriction when using the jaw joint corresponding to the usage restriction check (530) item.

[0115] For example, the processor may obtain input regarding whether the user experiences limitations in using the jaw joint in a specific situation or in everyday life, and if so, the degree of limitation. The degree of limitation may be input as a score from 0 to 10, with lower scores indicating less pain and higher scores indicating greater pain. Furthermore, the degree of pain may be input not only as a score, but also as a grade (high / medium / low), text, etc., but is not limited thereto.

[0116] For example, the processor may obtain input regarding whether the user has any limitations in using the jaw joint and, if so, the degree of limitations, in specific situations or situations in daily life, such as when the user is eating, drinking from a cup, yawning, smiling, not sleeping, waking up, or having a conversation.

[0117] Referring to FIG. 5e, the processor may provide a user with an action check (540) item.

[0118] For example, the processor may provide the user with a behavioral test (540) item included in a plurality of pre-test items, and obtain input from the user about the user's wrong habits and wrong actions corresponding to the behavioral test (540) item.

[0119] For example, the processor may obtain input on whether the user engages in misbehaviors that negatively impact the temporomandibular joint, and if so, the frequency of the misbehaviors.

[0120] For example, the processor may obtain input from the user regarding bad sleeping habits such as whether the user grinds their teeth while sleeping, their sleeping posture, etc. Additionally, the processor may obtain input from the user regarding bad daily habits such as whether the user usually clenches their teeth, whether the user juts their jaw forward or sideways, the position of their tongue, how often they chew gum, whether they rest their jaw, and whether the user chews food on only one side.

[0121] Referring to FIG. 5f, the processor may provide a stress test (550) item to the user.

[0122] For example, the processor may provide the user with a stress test item included in a plurality of pre-test items, and obtain input from the user regarding the user's stress level corresponding to the stress test item.

[0123] For example, the processor may obtain input regarding the frequency with which the user experiences stress over a preset period of time. The preset period may be, but is not limited to, one day, three days, seven days, or fourteen days.

[0124] For example, the processor may obtain input from the user regarding the frequency with which the user feels tense, anxious, nervous, or depressed over a preset period of time.

[0125] Referring to FIG. 5g, the processor may provide the user with a behavioral therapy setting (560) item.

[0126] For example, the processor may provide the user with a behavioral therapy setting item included in a plurality of pre-test items, and obtain input from the user regarding the user's first action and second action corresponding to the behavioral therapy setting item.

[0127] Here, the first action may be an action that negatively impacts the user's temporomandibular joint health, and the second action may be an action that positively impacts the user's temporomandibular joint health. Furthermore, the processor may only obtain input regarding the first action that negatively impacts the user's temporomandibular joint health, without input regarding the second action.

[0128] For example, the processor can acquire input for actions that tense the jaw muscles, such as consuming caffeine or drinking alcohol, as a first action, or actions that exert excessive force on the jaw muscles, such as clenching the teeth, chewing gum, or holding the jaw with the hand. Furthermore, the processor can acquire input for actions that massage the jaw muscles, eat soft food, or sit up straight, as a second action.

[0129] Accordingly, the processor can obtain input from the user for the first action and the second action, and provide feedback data to the user based on whether the user performs the first action and the second action, as will be described in detail later.

[0130] Meanwhile, the processor may obtain only input for a first action that negatively affects the user's temporomandibular joint health without input for a second action, and provide feedback data to the user based on whether the user performs the first action.

[0131] Referring to FIG. 5h, the processor may provide the user with a prescription information entry (570) item.

[0132] For example, the processor may obtain input from the user regarding whether or not the user is taking a prescription drug corresponding to the prescription drug information input (570) item, and if so, the name of the prescription drug being taken, the number of times the drug is taken, the time of taking the drug, etc. In addition, the processor may additionally obtain input from the user regarding whether or not to provide a medication reminder.

[0133] Accordingly, the processor can provide the user with a medication reminder based on the number of times and times the user takes the prescribed medication.

[0134] Meanwhile, referring to FIGS. 5g and 5h, the behavioral therapy setting items and prescription drug information input items described above may not be included in the multiple pre-test items, but may be provided to the user as separate items. That is, the pre-test (or weekly test, comprehensive test) may include general test items, pain record items, use restriction test items, behavioral test items, and stress test items, and the processor may separately provide the user with the behavioral therapy setting items and prescription drug information input items.

[0135] Referring to FIG. 5i, the processor may provide a pre-test report (580) to the user.

[0136] For example, the processor may generate a pre-test report (580) based on input from a user regarding a plurality of pre-test items.

[0137] For example, the processor may generate a report that organizes and summarizes the current user's condition based on the user's input for general test items, pain record items, use restriction test items, behavioral test items, and stress test items included in the multiple pre-test items.

[0138] For example, the processor may recommend a treatment program suitable for the user based on the user's current condition.

[0139] For example, the processor may provide the user with multiple treatment programs based on the user's input regarding multiple pre-test items. The multiple treatment programs may include a behavioral therapy program, an exercise therapy program, a meditation therapy program, a pain recording program, a health diary program, and a medical information program.

[0140] FIG. 6 is a drawing illustrating an example of multiple treatment programs according to one embodiment.

[0141] Hereinafter, with reference to FIG. 6, an example of multiple treatment programs will be described.

[0142] Referring to FIG. 6, the plurality of treatment programs may include a behavioral therapy program (610), an exercise therapy program (620), a meditation therapy program (630), a pain recording program (640), a health diary program (650), and a medical information program (660).

[0143] For example, the behavioral therapy program (610) may refer to a program that provides feedback to the user based on whether the user has performed the first action and the second action. That is, the processor may obtain input from the user regarding whether the user has performed the first action and the second action, and provide feedback to the user based on the obtained input. Alternatively, the processor may obtain input regarding only the first action that negatively impacts the user's temporomandibular joint health, without input regarding the second action, and provide feedback data to the user based on whether the user has performed the first action.

[0144] For example, an exercise therapy program (620) may refer to a program that provides a user with a list of exercises beneficial to temporomandibular joint health and assists the user in performing the selected exercises. That is, the processor may provide the user with a list of exercises and provide exercise image information or user image information to enable the user to perform the selected exercise from the provided list of exercises.

[0145] For example, a meditation therapy program (630) may mean a program that provides a list of meditation themes to a user and provides meditation information so that the user can perform meditation on a theme selected from the provided list of meditation themes.

[0146] For example, a pain recording program (640) may refer to a program that provides a pain recording item to a user and provides feedback data to the user based on the pain recording obtained from the user. That is, the processor may obtain a pain recording from the user regarding the area where the user feels pain, the intensity of the pain, the time of pain occurrence, etc., and provide feedback data such as medical information to the user based on the obtained pain recording.

[0147] For example, a health diary program (650) may refer to a program that provides users with items for writing a health diary and provides feedback data to the user based on the health diary obtained from the user. That is, the processor may obtain data related to pain or stress experienced by the user throughout the day as a health diary entry and provide feedback data to the user based on the obtained health diary entry.

[0148] For example, a medical information program (660) may refer to a program that provides users with medical information related to temporomandibular joint health and helps users gain knowledge about temporomandibular joint health. Specifically, the processor may provide the user with medical images and medical articles as medical information, and obtain input from the user regarding whether or not to confirm the medical information.

[0149] FIGS. 7A to 7N are diagrams illustrating another example of a method for providing a plurality of treatment programs to a user according to one embodiment.

[0150] Specifically, FIG. 7A is a diagram illustrating an example of a method for providing a plurality of treatment programs to a user based on a user's input for a plurality of pre-test items according to one embodiment. In addition, FIGS. 7B and 7C are diagrams illustrating an example of a method for providing a behavioral therapy program to a user. In addition, FIGS. 7D to 7I are diagrams illustrating an example of a method for providing an exercise therapy program to a user. In addition, FIG. 7J is a diagram illustrating an example of a method for providing a meditation therapy program to a user. In addition, FIGS. 7K to 7L are diagrams illustrating an example of a method for providing a behavioral therapy program to a user. In addition, FIG. 7M is a diagram illustrating an example of a method for providing a health diary program to a user. In addition, FIG. 7N is a diagram illustrating an example of a method for providing a medical information program to a user.

[0151] Hereinafter, with reference to FIGS. 7a to 7n, an example of a method in which a processor provides a plurality of treatment programs to a user is described.

[0152] First, referring to FIG. 7A, in step 701, the processor may evaluate the importance of multiple treatment programs based on user input for multiple pre-test items.

[0153] For example, the processor may determine whether a particular treatment program needs to be given priority over other treatment programs based on user input regarding multiple pre-test items. Furthermore, the processor may determine that a particular treatment program is given priority over other treatment programs based on the determination that the particular treatment program needs to be given priority over other treatment programs.

[0154] As an example, the processor may evaluate the importance of an exercise therapy program as high based on the user's input for a usage restriction test item included in a plurality of pre-test items. For example, as described above with reference to FIG. 5D, the processor may obtain input from the user regarding whether the user has limitations in using the temporomandibular joint in a specific situation or in a situation of daily life, and if so, the degree of limitation. Accordingly, if the user's input for each usage restriction test item is input as a score from 0 to 10, and the sum of the scores for each usage restriction test item is greater than or equal to a preset score, the processor may determine the importance of the exercise therapy program as high.

[0155] As another example, the processor may assess the importance of a behavioral therapy program as high based on the user's input regarding behavioral test items included in a plurality of pre-test items. For example, as described above with reference to FIG. 5E, the processor may obtain input from the user regarding whether the user engages in misbehaviors that negatively affect the temporomandibular joint and information related to the misbehaviors. Accordingly, if the number of misbehaviors performed by the user is greater than or equal to a preset number, or if the number of times the user engages in the misbehavior is greater than or equal to a preset number within a predetermined period of time, the processor may determine the importance of the behavioral therapy program as high.

[0156] As another example, the processor may assess the importance of a meditation therapy program as high based on the user's input regarding stress test items included in a plurality of pre-test items. For example, as described above with reference to FIG. 5F, the processor may obtain input from the user regarding the frequency with which the user experiences stress during a preset period. Accordingly, if the frequency with which the user experiences stress during the preset period is greater than or equal to a preset number of times, the processor may determine the importance of the meditation therapy program as high.

[0157] At step 702, the processor may provide the user with multiple treatment programs based on importance.

[0158] For example, the processor may provide a particular treatment program determined to be of high importance to the user before other treatment programs.

[0159] For example, the processor may provide an exercise therapy program determined to be of high importance to the user before the remaining treatment programs included in the multiple treatment programs. As another example, the processor may provide a behavioral therapy program determined to be of high importance to the user before the remaining treatment programs included in the multiple treatment programs. As yet another example, the processor may provide a meditation therapy program determined to be of high importance to the user before the remaining treatment programs included in the multiple treatment programs.

[0160] Referring to FIGS. 7b and 7c, the processor can provide a behavioral therapy (710) program to the user.

[0161] For example, the processor may provide a behavioral therapy (710) program to the user and obtain data related to each of the user's first action (711) and second action (712). Alternatively, the processor may obtain only input regarding the first action that negatively impacts the user's temporomandibular joint health, without input regarding the second action, and provide feedback data to the user based on whether the user performs the first action.

[0162] For example, the processor may obtain input from the user regarding a first action (711) that negatively affects the user's temporomandibular joint health and a second action (712) that positively affects the user's temporomandibular joint health, as described above with reference to FIG. 5G. Furthermore, the processor may obtain only input regarding the first action (711) that negatively affects the user's temporomandibular joint health.

[0163] Accordingly, the processor can help the user recognize his / her behavioral habits by receiving input from the user about the number of times the first action (711) and the second action (712) were performed. Furthermore, the processor can help the user recognize his / her behavioral habits by receiving input from the user about the number of times the first action (711) was performed. In other words, the processor can help the user by utilizing the user's input regarding the first action (711), regardless of whether the user inputs the second action (712).

[0164] For example, the processor may provide feedback data to the user based on data associated with each of the acquired first action (711) and second action (712). Furthermore, the processor may provide feedback data to the user using only data associated with the first action (711). In other words, the processor may provide feedback data to the user based on data associated with the first action (711), regardless of the presence or absence of data associated with the second action (712).

[0165] For example, the processor may provide the user with the number of times the first action (711) was performed and the number of times the second action (712) was performed during the day, in order to reduce the number of times the user performed the first action (711) and increase the number of times the user performed the second action (712). In addition, the processor may provide the result of comparing the number of times the first action (711) was performed and the number of times the second action (712) was performed on the previous day with the number of times the first action (711) was performed and the number of times the second action (712) was performed today.

[0166] For example, the processor can provide the number of times the user performed the first action (711) and the number of times the user performed the second action (712) by date to determine whether the user is improving his or her behavioral habits, and the user can also recognize whether his or her condition is improving or worsening.

[0167] Additionally, the processor can provide only the number of times the user performed the first action (711) on a daily basis to determine whether the user is improving his or her behavioral habits, and the user can also recognize whether his or her pain is improving or worsening.

[0168] Referring to FIG. 7d, the processor may provide an exercise therapy (720) program to the user.

[0169] For example, the processor may provide an exercise therapy (720) program to the user and provide feedback data to the user based on data from the user performing the exercise therapy (720) program.

[0170] For example, the processor may provide information related to a plurality of exercise regimens (720) included in an exercise therapy (720) program.

[0171] For example, the processor may provide the user with a list of multiple exercise regimens (720) and information for performing the exercise regimens. In other words, the processor may provide the user with information regarding exercise movements for performing movements such as jaw joint relaxation exercises, side bending, and forward bending included in the list of multiple exercise regimens (720).

[0172] For example, the processor may provide an exercise therapy (720) program based on either a first mode that provides images of multiple exercise therapies (720) or a second mode that provides images of a user performing multiple exercise therapies (720).

[0173] Referring to FIG. 7e, the processor may provide an exercise therapy program to the user based on a first mode (721) that provides images (722) of multiple exercise therapies.

[0174] For example, the processor provides an exercise therapy program to the user based on a first mode (721) that provides images (722) of a plurality of exercise therapies, so that the user can watch the images (722) of the exercise therapy selected by the user and follow the movements.

[0175] Additionally, the processor may provide the user with a description of the movements of the exercise therapy in text or voice along with a video (722) of the exercise therapy.

[0176] Referring to FIG. 7F, the processor may provide an exercise therapy program to the user based on a second mode (723) that provides images (724) of the user performing multiple exercise therapies in real time.

[0177] For example, the processor provides an exercise therapy program to the user based on a second mode (723) that provides real-time images (724) of the user performing multiple exercise therapies, so that the user can check the images (724) of himself performing the exercise therapy in real-time and determine whether he is performing the correct movements.

[0178] Additionally, the processor may provide a description of the movements of the exercise therapy (720) to the user in text or voice along with an image (724) of the user performing the exercise therapy (720).

[0179] Meanwhile, the processor can determine whether the user is performing the exercise therapy (720) accurately based on an image (724) of the user performing the exercise therapy (720).

[0180] Referring to FIG. 7g, at step 703, the processor may determine whether the user's image is included in a given frame.

[0181] For example, the processor may determine whether the user's face, included in an image of the user performing exercise therapy, falls within a predetermined frame. Furthermore, the processor may determine the extent to which the user's image matches the predetermined frame and, based on the determination, determine whether the user is performing exercise therapy. Furthermore, the processor may determine whether the user's image falls within a preset range and, based on the determination, determine whether the user is performing exercise therapy.

[0182] For example, the processor can input a user's image into a face detection model as input data of the face detection model, and obtain the user's face detection result as output data of the face detection model.

[0183] For example, a face detection model may be an artificial intelligence model trained to output a result of detecting a face from a given image using a given image as training data. More specifically, the face detection model may be an artificial intelligence model trained to extract at least one facial feature (e.g., eyes, nose, mouth, ears, etc.) from an input given image, and to detect a face from the given image based on the extracted facial feature.

[0184] Accordingly, the processor can determine whether the detected user's face is included in a predetermined frame. For example, the processor can determine that the user's face is included in a predetermined frame if the detected user's face is included in the predetermined frame by a preset area or more. Here, the preset area may be, but is not limited to, 80% of the area of ​​the predetermined frame.

[0185] For example, the processor can determine the degree to which the detected user's face matches a given frame. Furthermore, the processor can determine whether the detected user's face falls within a preset range.

[0186] At step 704, the processor may determine whether the user is performing exercise therapy based on the determined result.

[0187] For example, if the processor determines that the detected user's face is within a given frame, the processor may determine that the user is performing exercise therapy. As another example, if the processor determines that the detected user's face is not within a given frame, the processor may determine that the user is not performing exercise therapy.

[0188] For example, the processor may determine that the user is performing exercise therapy based on determining that the user's face matches a predetermined frame by a predetermined amount or more. Here, the predetermined amount may be, but is not limited to, 80%. Furthermore, the processor may determine that the user is performing exercise therapy based on determining that the detected user's face falls within a predetermined range. Here, the predetermined range may be a parameter for determining whether the user is performing exercise therapy separately from the predetermined frame, and may mean a portion of the total area of ​​a display or interface included in the device.

[0189] Therefore, if it is determined that the user is not performing an exercise regimen, the processor can provide a notification to the user.

[0190] For example, if the user's face moves out of the frame or the user's gaze moves away from a display or interface included in the device, the processor may temporarily stop providing the exercise regimen and provide a notification to the user.

[0191] For example, the processor may determine whether the user's face is again within a predetermined frame or whether the user's gaze is directed toward a display or interface included in the device within a preset amount of time after the exercise therapy has been stopped.

[0192] For example, the processor may provide the user with exercise therapy and issue an alarm based on a determination that the user's face is within a predetermined frame again within a preset time period after the exercise therapy was stopped. Furthermore, the processor may provide the user with exercise therapy and issue an alarm based on a determination that the user's gaze is directed toward a display or interface included in the device again within a preset time period after the exercise therapy was stopped.

[0193] As another example, the processor may terminate the exercise therapy and provide an alarm based on a determination that the user's face is no longer within the frame within a preset time period after the exercise therapy has been stopped. Furthermore, the processor may terminate the exercise therapy and provide an alarm based on a determination that the user's gaze is no longer directed toward the display or interface included in the device within a preset time period after the exercise therapy has been stopped.

[0194] Referring to FIG. 7h, at step 705, the processor may track the user's gaze based on the user's image.

[0195] For example, a processor could track a user's gaze using images of the user performing an exercise routine.

[0196] For example, the processor can input the user's image into the gaze tracking model as input data of the gaze tracking model, and obtain the user's gaze tracking result as output data of the gaze tracking model.

[0197] For example, a gaze tracking model may be an artificial intelligence model trained to track the gaze of a person included in a given image using a given image as training data and output the result. More specifically, the gaze tracking model may be an artificial intelligence model trained to extract at least one facial feature (e.g., eyes, nose, mouth, ears, etc.) from an input given image and to track the gaze of the given image based on the extracted facial feature.

[0198] At step 706, the processor may determine whether the user is performing an exercise regimen based on the user's gaze.

[0199] For example, the processor may determine, based on the tracked user's gaze, whether the user's gaze is directed toward a display or interface included in the device.

[0200] For example, if the processor determines that the user's gaze is directed toward a display or interface included in the device, the processor may determine that the user is performing an exercise regimen. As another example, if the processor determines that the user's gaze is not directed toward a display or interface included in the device, the processor may determine that the user is not performing an exercise regimen.

[0201] Referring to FIG. 7i, in step 707, the processor can obtain state information of the user's eye area included in the user's image.

[0202] For example, the processor can obtain information about the condition of the user's eye area using an image of the user performing exercise therapy.

[0203] For example, the processor can input the user's image into the information extraction model as input data of the information extraction model, and obtain information on the state of the user's eye area as output data of the information extraction model.

[0204] For example, an information extraction model may be an artificial intelligence model trained to extract eye-related status information, such as eye movement, pupil size, and eyelid position, from a given image using a given image as learning data and output the results. More specifically, the information extraction model may be an artificial intelligence model trained to extract eye feature points from an input given image and extract eye-related status information based on the extracted eye feature points.

[0205] Accordingly, the processor can extract eye feature points of the user from an image of the user performing exercise therapy, thereby extracting information on the condition of the eye area.

[0206] At step 708, the processor may determine whether the user is capable of performing exercise therapy based on the condition information of the eye area.

[0207] For example, the processor may determine whether the user is in a state where he or she can perform an exercise based on the user's pupil size, eye tremors, eyelid position, etc. included in the state information of the eye area.

[0208] For example, if the user's pupil size is smaller than the average for a normal person, the user's eye twitches more than the average for a normal person, and the eyelid position is lower than usual, the processor may determine that the user is unable to perform the exercise. As another example, if the user's pupil size is similar to or larger than the average for a normal person, the user's eye twitches are similar to or smaller than the average for a normal person, and the eyelid position is similar to or higher than usual, the processor may determine that the user is able to perform the exercise.

[0209] Accordingly, if the processor determines that the user is in a state where he or she is unable to perform the exercise, the processor may provide a notification to the user to stop performing the exercise.

[0210] Referring to FIG. 7j, the processor may provide a meditation therapy (730) program to the user.

[0211] For example, the processor may provide the user with a list of meditation themes containing multiple meditation themes. Furthermore, the processor may provide the user with meditation information corresponding to a meditation theme selected by the user from among the multiple meditation themes.

[0212] For example, meditation information may include meditation music, meditation guidance audio, meditation screens, etc.

[0213] Referring to FIGS. 7K and 7L, the processor may provide a pain recording (740) program to the user.

[0214] For example, the processor may provide the user with a pain log entry along with examples of specific pain-causing situations. Examples of specific pain-causing situations may include situations such as eating, waking up in the morning, concentrating on work, repeating a bad habit, remaining still, or feeling stressed.

[0215] For example, the processor may obtain data from the user regarding the pain the user feels.

[0216] For example, a processor can obtain data related to the pain felt by the user in situations such as eating, waking up in the morning, concentrating on work, repeating a bad habit, remaining still, or feeling stressed. The pain-related data can include the location where the user feels pain and the intensity of the pain.

[0217] For example, the processor may provide pain feedback (741) to the user based on pain-related data.

[0218] For example, the processor may provide medical information included in a medical information program based on data related to pain.

[0219] That is, the processor can provide medical information to the user based on the situation in which the user feels pain and data related to the pain.

[0220] For example, the processor may provide the user with articles related to writing and articles related to pain treatment included in a medical information program based on data related to pain felt by the user in a situation of eating food.

[0221] Additionally, the processor may provide the user with articles related to sleep and articles related to pain treatment included in the medical information program based on data related to pain felt by the user upon waking up in the morning.

[0222] Additionally, the processor may provide the user with articles related to habits and articles related to pain treatment included in the medical information program based on data related to pain felt by the user while focused on work.

[0223] Additionally, the processor may provide the user with articles related to drinking, caffeine intake or habits and articles related to pain treatment included in the medical information program based on data related to pain felt by the user in situations where the user repeats bad habits.

[0224] Additionally, the processor may provide the user with articles related to habits and articles related to pain treatment included in the medical information program based on data related to pain felt by the user while at rest.

[0225] Additionally, the processor may provide the user with stress-related articles and pain treatment-related articles included in the medical information program based on data related to pain felt by the user in a stressful situation.

[0226] As a further example, the processor may extract from the image of the user at least one area where the user feels pain based on the image of the user and the user's pain history.

[0227] For example, the processor may acquire an image of the user and extract an area of ​​the user's body where the user feels pain from the image based on the acquired image information of the user and the user's pain history.

[0228] For example, the processor can extract the user's jaw features from an image of the user. Furthermore, the processor can use the extracted jaw features and the user's pain history to identify the area where the user feels pain.

[0229] Therefore, the processor can extract the pain area from the user's image when the user does not have input about the area where the user feels pain, or when the user feels pain but does not know the exact area of ​​pain.

[0230] Referring to FIG. 7m, a diagram is provided to illustrate an example of a method for providing a health diary (750) program to a user.

[0231] For example, the processor may provide a health diary (750) program to the user and obtain health diary (750) data generated based on the user's pain information.

[0232] As an example, the processor can obtain health diary (750) data generated based on the user's pain information input.

[0233] For example, the processor may generate a health diary (750) based on the user's input of pain information regarding jaw pain experienced during the day, information related to stress, and when the user felt the most pain.

[0234] As another example, the processor may obtain health diary (750) data generated based on the previously input user's pain history.

[0235] For example, the processor may obtain a pain record from the user as described above with reference to FIGS. 7K and 7L. Accordingly, the processor may generate a health diary (750) using the previously obtained pain record input from the user.

[0236] Referring to FIG. 7n, the processor may provide a medical information (760) program to the user.

[0237] Here, medical information (760) may include educational videos (761) and articles (762). For example, educational videos (761) may be information provided as educational videos, providing information related to the user's pain. Additionally, articles (762) may be information provided as text or images, providing information related to the user's pain.

[0238] For example, the processor may recommend medical information (760) included in the medical information (760) program to the user based on data related to a pain record item included in a plurality of pre-examination items.

[0239] For example, the processor may obtain information related to the user's pain from the pain record included in the plurality of pre-test items described above with reference to FIG. 5B and the pain record program included in the plurality of treatment programs described above with reference to FIGS. 7K and 7L. Accordingly, the processor may provide the user with an educational video (761) or article (762) containing information related to the user's pain.

[0240] Additionally, the processor may provide the user with a comprehensive inspection program at preset intervals. The preset period may be, but is not limited to, seven days.

[0241] For example, the processor may provide the user with a comprehensive inspection program every seven days and obtain the user's input regarding multiple comprehensive inspection items included in the comprehensive inspection program. That is, as described above with reference to FIG. 4, the processor may provide the user with comprehensive inspection items identical to the pre-inspection items at preset intervals.

[0242] For example, the processor may provide the user with general check-ups, pain logs, use restriction checks, behavior checks, and stress checks every seven days, and obtain the user's input for each item.

[0243] Accordingly, the processor can generate a comprehensive inspection report using the user's input for each item and provide the generated comprehensive inspection report to the user.

[0244] Meanwhile, the processor may recommend at least one of a plurality of treatment programs to the user based on the user's pain duration.

[0245] For example, the processor may determine whether the user's pain lasts longer than a preset period of time and, based on the determination, recommend at least one treatment program to the user. The preset period may be, but is not limited to, three months.

[0246] For example, if the user's pain duration is determined to be less than a preset period, meaning that the pain is in the early stages or is short-term, the processor may recommend to the user an exercise therapy program for pain management and a behavioral therapy program for behavior management.

[0247] As another example, if the user's pain duration is determined to be longer than a preset period, indicating a recurrence of pain or chronic pain, the processor may recommend a behavioral therapy program for the user's behavior management and, in addition, provide assistance in the treatment process by linking with a medical professional.

[0248] For example, the processor may provide a report at preset intervals based on data from the user's performance of multiple treatment programs. The preset interval may be, but is not limited to, one day or seven days.

[0249] For example, the processor may provide a daily report based on data from a user's performance of multiple treatment programs over a single day. The daily report may be a "Today's Tasks" report. As another example, the processor may provide a seven-day report based on data from a user's performance of multiple treatment programs over a single day. The seven-day report may be a comprehensive inspection report.

[0250] FIGS. 8A to 8D are diagrams illustrating an example of a method for providing a report to a user according to one embodiment.

[0251] Hereinafter, with reference to FIGS. 8a to 8d, an example of a method by which a processor provides a report to a user is described.

[0252] First, referring to FIGS. 8a and 8b, the processor can provide the user with a today's to-do report (801) or a comprehensive inspection report (802) according to a preset period as a report provided to the user.

[0253] For example, the processor may obtain data indicating that the user performed multiple treatment programs over a preset period of time. That is, the processor may obtain data indicating that the user performed multiple treatment programs over a period of one or seven days.

[0254] For example, the processor can obtain data on how many treatment programs a user performed during a day and generate a today's to-do report (801) based on the obtained data.

[0255] For example, the Today's Task Report (801) may include information related to the total period during which the user has performed the treatment program, information related to the treatment program performed by the user during the day, and information related to the pain and stress experienced by the user during the day. In other words, the Today's Task Report (801) may include the period during which the user has performed the treatment program, the average treatment program achievement rate according to the period of use, and the user's pain and stress index.

[0256] For example, the processor may obtain data on a user's performance of multiple treatment programs over a seven-day period and generate a comprehensive inspection report (802) based on the obtained data. Furthermore, the processor may provide the user with a comprehensive inspection program every seven days and obtain the user's input for multiple comprehensive inspection items included in the provided comprehensive inspection program. Accordingly, the processor may generate a comprehensive inspection report (802) using the user's input for multiple comprehensive inspection items.

[0257] For example, the comprehensive inspection report (802) may include information comparing user inputs for each of a plurality of comprehensive inspection items for each week, i.e., every 7 days. That is, the comprehensive inspection report (802) may include information such as a comparison of scores for each week for general inspection items included in a plurality of comprehensive inspection items, a comparison of pain records entered by the user in the pain record item, etc.

[0258] Referring to FIGS. 8c and 8d, the processor can determine the degree of improvement or worsening of the user's pain.

[0259] First, in step 810, the processor can obtain data indicating that the user performed multiple treatment programs over a preset period of time. That is, as described above, the processor can obtain data indicating that the user performed multiple treatment programs over a period of one or seven days.

[0260] In step 820, the processor can determine the degree of improvement or worsening of the user's condition based on data obtained by performing multiple treatment programs.

[0261] In step 821, the processor can obtain at least one of data on whether the user performed a pain recording program included in a plurality of treatment programs for a preset period of time or data on whether the user performed a behavioral therapy program.

[0262] For example, the processor may obtain at least one of data from a pain recording program performed daily or for seven days or data from a behavioral therapy program performed.

[0263] In step 822, the processor may determine the extent of improvement or worsening of the user's condition based on at least one of data from a pain recording program or data from a behavioral therapy program.

[0264] For example, a processor can acquire data on how frequently a user performs a pain log program upon waking up in the morning, and analyze the data to determine whether the user's pain has improved or worsened. For example, if a user frequently experiences pain upon waking up in the morning, this could be interpreted as evidence of the user clenching or grinding their teeth during sleep, and the processor can determine that the user's condition has worsened.

[0265] As a further example, the processor may determine whether the user's condition has improved or worsened based on the user's image.

[0266] For example, the processor can derive the user's mouth opening, i.e., the maximum length the user opens his or her mouth, from an image of the user.

[0267] As an example, the processor can obtain an absolute measurement of the maximum mouth opening length of the user. For example, the processor can obtain the user's mouth opening by measuring the distance from the user's upper lip to the user's lower lip.

[0268] As another example, the processor can obtain a relative value for the maximum mouth opening length of the user. For example, the processor can measure the distance between the user's eyebrows, which remains constant regardless of temporomandibular joint disorder, and measure the change in the distance between the user's upper and lower lips over time relative to the distance between the eyebrows to obtain the user's mouth opening.

[0269] Accordingly, the processor can determine that the user's condition is improving as the user's mouth opening, that is, the maximum length of the user's mouth opening, increases, and the processor can determine that the user's condition is worsening as the user's mouth opening decreases.

[0270] At step 830, the processor may provide the user with a report including a recommended treatment program based on the degree of improvement or worsening of the user's condition determined.

[0271] For example, the processor may determine that the user's condition is worsened by clenching or grinding teeth during sleep, and may accordingly provide the user with a report recommending an exercise therapy program or meditation therapy program to improve sleep quality.

[0272] Accordingly, according to the present disclosure, a user can input his / her information and be provided with treatment programs suitable for the user.

[0273] Additionally, users can be aware of their current disease status in real time.

[0274] Additionally, users can make efforts to treat their disease by recognizing whether their disease is improving or worsening as they perform treatment programs.

[0275] Meanwhile, the above-described method can be written as a program that can be executed on a computer, and can be implemented on a general-purpose digital computer that runs the program using a computer-readable recording medium. In addition, the structure of the data used in the above-described method can be recorded on a computer-readable recording medium through various means. The computer-readable recording medium includes storage media such as magnetic storage media (e.g., ROM, RAM, USB, floppy disk, hard disk, etc.) and optical reading media (e.g., CD-ROM, DVD, etc.).

[0276] Those skilled in the art will appreciate that the present invention can be implemented in modified forms without departing from the essential characteristics of the above-described invention. Therefore, the disclosed methods should be considered illustrative rather than restrictive, and the scope of the claims, not the foregoing description, should be interpreted to encompass all differences within the scope equivalent thereto.

Claims

1. A step of providing a plurality of pre-test items to a user and obtaining input from the user for the plurality of pre-test items; A step of providing a plurality of treatment programs to the user based on the user's input for the plurality of pre-test items; and A step of providing a report at a preset period based on data on which the user performed the plurality of treatment programs; How to provide cognitive behavioral therapy to patients with temporomandibular joint disorder.

2. In paragraph 1, The step of obtaining input for the above multiple pre-test items is: A step of providing the user with general inspection items included in the above plurality of pre-inspection items; and A method comprising: obtaining input from the user regarding whether the user has pain in the temporomandibular joint corresponding to the general examination items, whether the user has discomfort when opening the mouth, and the user's current stress level.

3. In paragraph 1, The step of obtaining input for the above multiple pre-test items is: A step of providing the user with a pain record item included in the plurality of pre-test items; and A method comprising: obtaining input from the user about at least one part where the user feels pain and the degree of pain corresponding to the pain record item.

4. In paragraph 1, The method wherein the above multiple treatment programs include a behavioral therapy program, an exercise therapy program, a meditation therapy program, a pain recording program, a health diary program, and a medical information program.

5. In paragraph 4, The steps provided to the above users are: A step of evaluating the importance of the plurality of treatment programs based on the user's input for the plurality of pre-test items; and A method comprising: providing the plurality of treatment programs to the user based on the importance; 6. In paragraph 4, The steps provided to the above users are: A step of providing the above behavioral therapy program to the user; A step of obtaining data related to each of the first action and the second action of the user from the user; and A method comprising: providing feedback data to the user based on data related to each of the first and second actions obtained above.

7. In paragraph 4, The steps provided to the above users are: providing the above exercise therapy program to the user; and A method comprising: providing feedback data to the user based on data obtained by the user performing the exercise therapy program; 8. In paragraph 4, The steps provided to the above users are: A step of providing the above pain recording program to the user; A step of obtaining data related to pain felt by the user from the user; and A method comprising: providing medical information included in the medical information program based on data related to the pain.

9. In paragraph 4, The steps provided to the above users are: A step of providing the above health diary program to the user; and A method comprising: obtaining health diary data generated based on the pain information of the user; 10. In paragraph 4, The steps provided to the above users are: A step of providing the above medical information program to the user; and A method comprising: a step of recommending medical information included in the medical information program to the user based on data related to pain record items included in the plurality of pre-examination items.

11. In paragraph 1, The steps for providing the above report are: A step of acquiring data on the user performing the plurality of treatment programs during the preset period; A step of determining the degree of improvement or worsening of the user's disease based on data obtained by performing the above multiple treatment programs; and A method comprising: providing a report including a recommended treatment program to the user based on the degree of improvement or worsening of the user's disease as determined above; 12. A computer-readable recording medium recording a program for executing the method of Article 1 on a computer.

13. Memory in which at least one program is stored; and At least one processor for executing at least one program; At least one processor, Providing a plurality of pre-test items to a user to obtain input from the user about the plurality of pre-test items, providing a plurality of treatment programs to the user based on the user's input about the plurality of pre-test items, and providing a report at set intervals based on data on the user performing the plurality of treatment programs. A device for providing cognitive behavioral therapy to patients with temporomandibular joint disorder.

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