JP2019033920A - Caries healing support apparatus - Google Patents

Abstract

To provide a caries healing support apparatus that can estimate an intraoral state regardless of dietetic frequency.SOLUTION: A caries healing support apparatus 100 includes: an oral cavity behavior acquisition unit 103 for acquiring behavior information showing the oral movement of a user being an estimation target; a food/drink information acquisition unit 102 for acquiring food/drink information showing the food/drink contained in an oral cavity; and an intraoral state estimation unit 105 for estimating an oral healing state based on the behavior information acquired by the oral cavity behavior acquisition unit 103 and the food/drink information acquired by the food/drink information acquisition unit 102.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a caries healing support device for grasping a state in an oral cavity.

  In Patent Document 1 below, a caries morbidity risk evaluation apparatus generates a stefan curve from a sample collected from the oral cavity of a subject and the frequency of a meal in order to maintain the oral cavity environment in the best state. There is a description of predicting the state in the oral cavity based on the above.

JP 2006-308462 A

  However, the technique described in Patent Document 1 can only predict the oral cavity within the range of the stefan curve based on the sample in the oral cavity and the frequency of meals, and the prediction accuracy is not accurate.

  Then, an object of this invention is to provide the caries healing assistance apparatus which can predict the state in an oral cavity appropriately.

  In order to solve the above-described problem, the caries healing support device of the present invention includes an oral behavior acquisition unit that acquires behavior information indicating the motion of the oral cavity of a user who is a prediction target, and a food and drink contained in the oral cavity. The food / beverage information acquisition part which acquires the food / beverage information to show, the action information acquired by the said oral cavity action acquisition part, and the food / beverage information acquired by the said oral food / beverage food information acquisition part are estimated, and the oral cavity healing state is estimated. A prediction unit.

  According to this invention, the healing state in the oral cavity can be appropriately predicted based on foods and drinks having different times for transition to a healing state such as remineralization.

  According to the present invention, the healing state in the oral cavity can be appropriately predicted.

It is a block diagram which shows the function structure of the caries healing assistance apparatus 100 of this embodiment. It is a figure which shows the kind of tooth | gear. It is a flowchart which shows operation | movement of the caries healing assistance apparatus 100. FIG. It is a figure which shows the specific example of a prediction model. It is a figure which shows an example of the hardware constitutions of the caries healing assistance apparatus 100 which concerns on this embodiment.

  Embodiments of the present invention will be described with reference to the accompanying drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

  FIG. 1 is a block diagram showing a functional configuration of a caries healing support device 100 of the present embodiment. The caries healing support device 100 includes a caries determination unit 101, a food and beverage information acquisition unit 102, an oral behavior acquisition unit 103, a prediction model storage unit 104, an intraoral state prediction unit 105, and an action proposal unit 106. ing.

  This caries healing support device 100 is a so-called information processing device, and is a device capable of wirelessly or wiredly communicating with the camera 101a and the oral behavior sensor 103a. The caries healing support device 100 performs a determination process based on various data acquired from the camera 101a and the oral behavior sensor 103a. Each configuration will be described below.

  The caries determination unit 101 is a part that performs caries determination for each tooth based on intraoral image data taken by the camera 101a. The caries determination is performed by image diagnosis and is performed by matching with an image pattern for each predetermined caries level. The caries determination unit 101 may perform the determination only once in advance or may perform the determination every day. The caries determination unit 101 stores the determination result for each tooth.

  The camera 101a is, for example, a camera of a mobile terminal or a camera provided in a toothbrush, acquires image data in the oral cavity, and transmits the image data to the caries determination unit 101.

  The food / beverage information acquisition unit 102 is a part that determines a food / beverage based on image data including the food / beverage acquired by the camera 101a and stores the food / beverage information. The food and beverage information acquisition unit 102 is not limited to the image data from the camera 101a, and the user designates food and drink on an information terminal (such as a smartphone) not shown, and the food and beverage information acquisition unit 102 The determination process may be performed by acquiring information. In addition, food and drink can be estimated based on sound detected by a smart earphone (an earphone with an information processing function including a gyro sensor).

  In addition, food and drink information may be acquired based on the movement of a sensor (such as a smart watch) (not shown). For example, when a smart watch or the like can detect the movement of the arm, food and drink can be estimated based on the movement of the arm.

  The oral behavior acquisition unit 103 is a part that acquires behavior information indicating oral behavior acquired by the oral behavior sensor 103a, and stores the behavior information together with the acquired time (time at which the behavior was caused). This behavior information is information indicating whether or not eating, smoking, or brushing teeth, but is not limited thereto.

  For example, the behavior information is determined based on information (acceleration or the like) indicating arm or head movement detected by a smart watch with a gyro sensor functioning as the oral behavior sensor 103a, a smart earphone with a gyro sensor, or a toothbrush with a gyro sensor. In addition, behavior information can be estimated based on sound detected by a smart earphone (an earphone with an information processing function including a gyro sensor).

  The oral behavior acquisition unit 103 estimates a behavior based on information indicating the movement of the user's arm or head, and stores the behavior as behavior information. In addition to these sensors, information on oral behavior detected by the camera may be acquired, or the user may input information on oral behavior into an information terminal (not shown) to acquire the information.

  The prediction model storage unit 104 stores a parameter corresponding to the type of tooth for generating a prediction model, a parameter corresponding to food and drink, and a prediction reference model serving as a reference. Note that the prediction model storage unit 104 may store parameters suitable for each user. Various parameters and the prediction reference model will be described later. Note that the prediction model storage unit 104 may be configured to be included in an external server that is external to the caries healing support device 100. In that case, the caries healing support apparatus 100 may acquire information from the prediction model storage unit 104 as necessary.

  The types of teeth include, for example, incisors, canines, premolars, and molars. Since it is considered that the tooth stains are different for each type of tooth, it is possible to perform prediction for each tooth by preparing a parameter for generating a prediction model for each type of tooth.

  The intraoral state prediction unit 105 sets the prediction target other than the tooth whose caries have been determined by the caries determination unit 101, and based on the behavior information acquired by the oral behavior acquisition unit 103, the natural healing state (pH) of the prediction target Ie, recalcification). Specifically, first, the intraoral state prediction unit 105 performs a process for generating a prediction model in accordance with a user operation or when a predetermined condition or time is reached. Furthermore, the intraoral state prediction unit 105 determines whether or not a condition for generating a prediction model is satisfied, such as a state after a predetermined time has elapsed since eating or drinking, or a state where no eating or drinking after brushing teeth.

  When the generation condition is satisfied, the intraoral state prediction unit 105 generates a prediction model for each tooth based on the various parameters stored in the prediction model storage unit 104 and the reference prediction reference model. . When parameters associated with each user are used, a prediction model suitable for the user is generated. Details of these prediction processes will be described later.

  In the above example, the intraoral state prediction unit 105 generates the prediction model based on the information stored in the prediction model storage unit 104, but is not limited thereto. The prediction model storage unit 104 may store a prediction model for each tooth in advance, and the intraoral state prediction unit 105 may select a prediction model for each tooth.

  The intraoral state prediction unit 105 generates a prediction model as described above, and predicts a healing state in the oral cavity based on the prediction model.

  The behavior suggesting unit 106 is a part that makes a behavior suggestion to the user based on the content predicted by the intraoral state prediction unit 105. This user includes doctors other than general users. The behavior proposing unit 106 calculates the remineralization time based on the prediction model generated by the intraoral state prediction unit 105, the time of eating and drinking, and the current time.

  That is, the action proposing unit 106 proposes the action timing of a meal or the like when the intraoral state decalcified by eating or drinking exceeds a critical pH suitable for remineralization. For example, a message such as “Remineralization is occurring until the next eating and drinking. Let's refrain from snacking” is output. In addition, when the prediction model is generated in the decalcified state after eating and drinking, the action proposing unit 106 may output a message such as “After that, remineralization starts in XX time”.

  Note that the action proposing unit 106 is not limited to calculating only the remineralization time, and may calculate the time for the oral pH to return to the original state. In that case, it is necessary to measure the pH of the oral cavity in the normal time of the user in advance.

Here, a specific example of the prediction model will be described. The following formulas (1) and (2) are examples of the prediction reference model.

However, 0 ≦ t <t ′.

However, t ′ ≦ t.

f (t): Predicted value of pH t: Elapsed time from the time of eating and drinking t ': Time from eating and drinking until the predicted value of pH becomes minimum a: Coefficient in quadratic function b: Sigmoid function Coefficient c: Bias determined for each food and drink, d: Coefficient in sigmoid function
“a”, “b”, “c”, and “t ′” are determined based on the information of food or drink acquired by the food and drink information acquiring unit 102. This is because the time for the pH to change from the relime state to the minimum state varies depending on the food and drink, the time from the minimum state to the relime state varies, and the pH itself varies. It is assumed that a different value is given in advance for each tooth or each tooth type.

  For example, since the pH of carbonated beverages is relatively small, a which is the value of the coefficient in Expression (1) is set to a relatively large value. On the other hand, curry, tea, and the like have a relatively high pH, and the coefficient value a is set to a value smaller than a set for food and drink having a low pH. This a is determined by predetermined food and drink and food, and a value corresponding to the pH of the food and drink is set.

  Therefore, since the pH gradually increases in the order of carbonated drink, orange, potato, meat, curry, and tea, the coefficient value a is set to be small according to the food and drink. The coefficient value a may be a value determined by smoking, or a value different from food and drink may be set.

  Further, since the pH of the carbonated beverage is relatively small, the coefficient value b is set to a relatively large value. On the other hand, curry, tea, and the like have a relatively high pH, and therefore, the coefficient b is set to a value smaller than b set for food and drink having a low pH. This b is determined by predetermined foods and drinks and dishes, and a value corresponding to the pH of the foods and drinks is set.

  For example, since the pH gradually increases in the order of carbonated beverages, oranges, potatoes, meat, curry, and tea, the coefficient value b is set to be small according to the food and drink. The coefficient value b may be a value determined by smoking, or a value different from food and drink may be set.

  For example, since the pH of carbonated beverages is relatively small, the bias value c is set to a relatively small value. On the other hand, curry, tea, and the like have a relatively high pH, and the bias value c is set to a value larger than c set for food and drink having a low pH. This c is determined by predetermined food and drink and food, and a value corresponding to the pH of the food and drink is set.

  For example, since the pH gradually increases in the order of carbonated drink, orange, potato, meat, curry, and tea, the bias value c is set to increase according to the food and drink. The bias value c may be a value determined by smoking, or a value different from food and drink may be set.

The coefficients a, b, d and the bias value c may be set for each user. As the setting method, a method of selecting a value given in advance based on the amount of saliva of the user can be considered. In that case, it is necessary to acquire the amount of saliva of the user in advance. Since the neutralization effect is higher as the amount of saliva increases, the coefficients b and d and the bias value c are set to higher values as the amount of saliva increases. Similarly, the coefficient a is set to a smaller value as the amount of saliva increases.

  FIG. 2 is a diagram showing the types of teeth. As shown in the figure, the incisor H1, the canine H2, the premolar H3, and the molar H4 are formed in the back of the mouth according to the order. Since it is considered that stains on the teeth are likely to remain as the depth increases, the coefficient d in the above formula (2) is preferably set to a smaller value as the depth increases. For example, the following settings are considered preferable.

Incisor: d> 1
Canine, premolar: d = 1
Molar: d <1 The prediction model storage unit 104 stores the above mathematical formula and various coefficients. The intraoral state prediction unit 105 predicts the healing state (pH) for each tooth according to the prediction model.

  The intraoral state prediction unit 105 applies a coefficient a according to food or drink or smoking, b a bias value c according to food or drink or smoking, a coefficient d for each tooth or tooth type, and time t ′ to the reference model. Thus, a prediction model for each tooth or each tooth type is generated.

  FIG. 4 is a diagram illustrating an example of the prediction model. As shown in FIG. 4, when t is 0, that is, immediately after eating or drinking, the oral cavity is in a recalcified state, and becomes decalcified as time passes. When t is t ′, the pH is in a decalcified state where the pH is minimal. Thereafter, the pH shifts from a demineralized state where the pH is minimal to a recalculated state through a critical pH state. Thereafter, a re-lime state is reached and the pH converges to approximate 7.

  Based on the prediction model generated by the intraoral state prediction unit 105, the current time, the time of eating and drinking, the action proposing unit 106 calculates the time for recalcification and sends a message for initial caries healing to the user. To provide.

  Next, the operation of the caries healing support device 100 of this embodiment will be described. FIG. 3 is a flowchart showing the operation of the caries healing support device 100. The caries determination unit 101 determines and stores caries in each tooth in advance (S101). In addition, the oral behavior acquisition unit 103 acquires, in advance, after the fact, or in real time, behavior information indicating whether or not a meal has been ingested along with the ingestion time (S102). Moreover, the food content which is food / beverage information is acquired by the food / beverage information acquisition part 102 before or after (S103). Further, the oral behavior acquisition unit 103 acquires information on whether or not the user brushes his teeth along with the time (S104). In these steps S102 to S104, the various information acquisition process A is repeatedly performed.

  According to the user's operation or when a predetermined condition or time is reached, either a tooth brushing information indicating that tooth brushing has been performed has been acquired, or whether a predetermined time has elapsed since eating a meal. Whether the condition for generation is satisfied is determined by the intraoral state prediction unit 105. When it is determined that the conditions for generating the prediction model are satisfied, the oral cavity state prediction unit 105 generates a prediction model for prediction of the pH in the oral cavity based on the meal contents (food information). (S105).

  Then, the action suggesting unit 106 calculates the meal intake timing based on the meal, smoking, or toothpaste (behavior information) time and the prediction model (S106). That is, the elapsed time from eating and drinking is known from the time when a meal is taken and the current time, and prediction is performed by applying it to the prediction model. The action suggesting unit 107 notifies the user of the meal intake timing (S107). In the action proposal, for example, when the meal intake timing is reached, a notification that the meal is ready may be given, or a time when the meal can be taken may be notified in advance.

  Next, operational effects of the caries healing support device 100 of the present embodiment will be described.

  The caries healing support device 100 according to the present embodiment acquires oral behavior acquisition unit 103 that acquires behavior information indicating the movement of the oral cavity of a user who is a prediction target, and food and beverage information indicating food and drink included in the oral cavity. An intraoral state prediction unit 105 that predicts a healing state of the oral cavity based on the food information acquired by the food information acquisition unit 102, the behavior information acquired by the oral behavior acquisition unit 103, and the food information acquired by the food information acquisition unit 102, .

  According to this embodiment, the healing state in the oral cavity can be predicted based on food and drink information. In general, depending on the food and drink, the pH is different, so it is determined whether or not caries is likely to occur. Therefore, the time for shifting to a healing state such as remineralization varies depending on food and drink. According to the present invention, the healing state in the oral cavity can be appropriately predicted based on food and drink.

  Moreover, in the caries healing support apparatus 100 of this embodiment, the intraoral state prediction part 105 applies the prediction model which showed the healing state according to the time passage after eating and drinking provided for every predetermined tooth. Thus, the healing state for each predetermined tooth is predicted.

  According to this embodiment, a prediction model is provided for each tooth, and since the healing state is predicted for each tooth, fine prediction is possible.

  Further, the caries healing support device 100 of the present embodiment uses a parameter (bias value b) corresponding to food and drink and a reference reference model (for example, the above formula (1)) for generating a prediction model. The intraoral state prediction unit 105 further includes a parameter and prediction reference model stored in the prediction model storage unit 104, and food and beverage information acquired by the food and beverage information acquisition unit 102. Based on this, a prediction model is generated and prediction is performed based on the prediction model.

  According to this embodiment, the prediction model corresponding to the ingested food and drink can be generated, and appropriate prediction according to the food and drink can be performed.

  In addition, the caries healing support device 100 of the present embodiment further includes a caries determination unit 101 that determines the caries level of each tooth, and the intraoral state prediction unit 105 is a predetermined determined by the caries determination unit 101. Make predictions for teeth other than level teeth.

  According to this embodiment, no prediction is made about the level of the caries reaching a predetermined level. For example, teeth having a high caries progression level are not suitable for the present embodiment for the purpose of healing initial caries and are therefore preferably excluded. Of course, predictions may be made for all teeth.

  Moreover, the caries healing support apparatus 100 of the present embodiment further includes an action suggesting unit 106 that makes an action suggestion to the user based on the healing state predicted by the intraoral state prediction unit 105.

  According to this embodiment, it is possible to propose appropriate advice for initial caries healing to the user.

  In addition, in the caries healing support device 100 of the present embodiment, the oral behavior acquisition unit 103 acquires time information on the movement of the oral cavity in addition to the behavior information, and the behavior suggestion unit 106 heals based on the time information. Output a message for support.

  Thereby, the action proposal unit 106 can output a message for healing support based on the time of eating and drinking, and can give appropriate advice to the user.

  Moreover, in the caries healing support apparatus 100 of this embodiment, the intraoral state prediction unit 105 predicts the healing state for each tooth type by applying a prediction model generated or provided for each tooth type.

  According to this embodiment, since the dirt of the teeth differs for each type of teeth, it is considered preferable to predict the healing state using a prediction model accordingly. In the present embodiment, appropriate prediction can be performed by using such a prediction model.

  In addition, the block diagram used for description of the said embodiment has shown the block of the functional unit. These functional blocks (components) are realized by any combination of hardware and / or software. Further, the means for realizing each functional block is not particularly limited. That is, each functional block may be realized by one device physically and / or logically coupled, and two or more devices physically and / or logically separated may be directly and / or indirectly. (For example, wired and / or wireless) and may be realized by these plural devices.

  For example, the caries healing support device 100 according to the embodiment of the present invention may function as a computer that performs processing of the caries healing support device 100 of the present embodiment. FIG. 5 is a diagram illustrating an example of a hardware configuration of the caries healing support apparatus 100 according to the present embodiment. The caries healing support device 100 described above may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

  In the following description, the term “apparatus” can be read as a circuit, a device, a unit, or the like. The hardware configuration of the caries healing support device 100 may be configured to include one or a plurality of the devices illustrated in the figure, or may be configured not to include some devices.

  Each function in the caries healing support device 100 is read by a predetermined software (program) on hardware such as the processor 1001 and the memory 1002, so that the processor 1001 performs an operation to perform communication by the communication device 1004 and the memory 1002. This is realized by controlling reading and / or writing of data in the storage 1003.

  For example, the processor 1001 controls the entire computer by operating an operating system. The processor 1001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic device, a register, and the like. For example, the intraoral state prediction unit 105 may be realized by the processor 1001.

  Further, the processor 1001 reads a program (program code), software module, and data from the storage 1003 and / or the communication device 1004 to the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above embodiments is used. For example, the intraoral state prediction unit 105 of the caries healing support device 100 may be realized by a control program stored in the memory 1002 and operated by the processor 1001, and may be realized similarly for other functional blocks. . Although the above-described various processes have been described as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. Note that the program may be transmitted from a network via a telecommunication line.

  The memory 1002 is a computer-readable recording medium and includes, for example, at least one of ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), and the like. May be. The memory 1002 may be called a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, and the like that can be executed to implement the wireless communication method according to the embodiment of the present invention.

  The storage 1003 is a computer-readable recording medium, such as an optical disc such as a CD-ROM (Compact Disc ROM), a hard disc drive, a flexible disc, a magneto-optical disc (eg, a compact disc, a digital versatile disc, a Blu-ray). (Registered trademark) disk, smart card, flash memory (for example, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server, or other suitable medium including the memory 1002 and / or the storage 1003.

  The communication device 1004 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also referred to as a network device, a network controller, a network card, a communication module, or the like. For example, the above-described caries determination unit 101, food and beverage information acquisition unit 102, oral behavior acquisition unit 103, and the like may be realized by the communication device 1004.

  The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, or the like) that accepts an external input. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

  Each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured with a single bus or may be configured with different buses between apparatuses.

  The caries healing support device 100 includes hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), and a field programmable gate array (FPGA). And a part or all of each functional block may be realized by the hardware. For example, the processor 1001 may be implemented by at least one of these hardware.

  Although the present embodiment has been described in detail above, it will be apparent to those skilled in the art that the present embodiment is not limited to the embodiment described in this specification. The present embodiment can be implemented as a modification and change without departing from the spirit and scope of the present invention defined by the description of the scope of claims. Therefore, the description of the present specification is for illustrative purposes and does not have any limiting meaning to the present embodiment.

  The notification of information is not limited to the aspect / embodiment described in the present specification, and may be performed by other methods. For example, information notification includes physical layer signaling (for example, DCI (Downlink Control Information), UCI (Uplink Control Information)), upper layer signaling (for example, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling), It may be implemented by broadcast information (MIB (Master Information Block), SIB (System Information Block))), other signals, or a combination thereof. The RRC signaling may be referred to as an RRC message, and may be, for example, an RRC connection setup message, an RRC connection reconfiguration message, or the like.

  Each aspect / embodiment described herein includes LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G, 5G, FRA (Future Radio Access), W-CDMA. (Registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, UWB (Ultra-WideBand), The present invention may be applied to a Bluetooth (registered trademark), a system using another appropriate system, and / or a next generation system extended based on the system.

  As long as there is no contradiction, the order of the processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in this specification may be changed. For example, the methods described herein present the elements of the various steps in an exemplary order and are not limited to the specific order presented.

  Input / output information and the like may be stored in a specific location (for example, a memory) or may be managed by a management table. Input / output information and the like can be overwritten, updated, or additionally written. The output information or the like may be deleted. The input information or the like may be transmitted to another device.

  The determination may be performed by a value represented by 1 bit (0 or 1), may be performed by a true / false value (Boolean: true or false), or may be performed by comparing numerical values (for example, a predetermined value) Comparison with the value).

  Each aspect / embodiment described in this specification may be used independently, may be used in combination, or may be switched according to execution. In addition, notification of predetermined information (for example, notification of being “X”) is not limited to explicitly performed, but is performed implicitly (for example, notification of the predetermined information is not performed). Also good.

  Software, whether it is called software, firmware, middleware, microcode, hardware description language, or other names, instructions, instruction sets, codes, code segments, program codes, programs, subprograms, software modules , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, etc. should be interpreted broadly.

  Also, software, instructions, etc. may be transmitted / received via a transmission medium. For example, software may use websites, servers, or other devices using wired technology such as coaxial cable, fiber optic cable, twisted pair and digital subscriber line (DSL) and / or wireless technology such as infrared, wireless and microwave. When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission media.

  Information, signals, etc. described herein may be represented using any of a variety of different technologies. For example, data, commands, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description are voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these May be represented by a combination of

  Note that the terms described in this specification and / or terms necessary for understanding this specification may be replaced with terms having the same or similar meaning.

  In addition, information, parameters, and the like described in this specification may be represented by absolute values, may be represented by relative values from a predetermined value, or may be represented by other corresponding information. . For example, the radio resource may be indicated by an index.

  The names used for the parameters described above are not limiting in any way. Further, mathematical formulas and the like that use these parameters may differ from those explicitly disclosed herein. Since various channels (eg, PUCCH, PDCCH, etc.) and information elements (eg, TPC, etc.) can be identified by any suitable name, the various names assigned to these various channels and information elements are However, it is not limited.

  As used herein, the terms “determining” and “determining” may encompass a wide variety of actions. “Judgment” and “determination” are, for example, judgment, calculation, calculation, processing, derivation, investigating, looking up (eg, table , Searching in a database or another data structure), considering ascertaining as “determining”, “deciding”, and the like. In addition, “determination” and “determination” include receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. (accessing) (e.g., accessing data in a memory) may be considered as "determined" or "determined". In addition, “determination” and “decision” means that “resolving”, “selecting”, “choosing”, “establishing”, and “comparing” are regarded as “determining” and “deciding”. May be included. In other words, “determination” and “determination” may include considering some operation as “determination” and “determination”.

  The terms “connected”, “coupled”, or any variation thereof, means any direct or indirect connection or coupling between two or more elements and It can include the presence of one or more intermediate elements between two “connected” or “coupled” elements. The coupling or connection between the elements may be physical, logical, or a combination thereof. As used herein, the two elements are radio frequency by using one or more wires, cables and / or printed electrical connections, and as some non-limiting and non-inclusive examples By using electromagnetic energy, such as electromagnetic energy having a wavelength in the region, microwave region, and light (both visible and invisible) region, it can be considered to be “connected” or “coupled” to each other.

  As used herein, the phrase “based on” does not mean “based only on,” unless expressly specified otherwise. In other words, the phrase “based on” means both “based only on” and “based at least on.”

  Where the designation "first", "second", etc. is used herein, any reference to that element does not generally limit the amount or order of those elements. These designations can be used herein as a convenient way to distinguish between two or more elements. Thus, a reference to the first and second elements does not mean that only two elements can be employed there, or that in some way the first element must precede the second element.

  These terms are similar to the term “comprising” as long as “include”, “including” and variations thereof are used herein or in the claims. It is intended to be comprehensive. Furthermore, the term “or” as used herein or in the claims is not intended to be an exclusive OR.

  In this specification, a plurality of devices are also included unless there is only one device that is clearly present in context or technically.

  Throughout this disclosure, the plural is included unless the context clearly indicates one.

DESCRIPTION OF SYMBOLS 100 ... Caries healing assistance apparatus, 101 ... Caries determination part, 101a ... Camera, 102 ... Food-and-drink information acquisition part, 103 ... Oral behavior acquisition part, 103a ... Oral behavior sensor, 104 ... Prediction model memory | storage part, 105 ... Oral cavity Internal state prediction unit, 106... Action suggestion unit.

Claims (6)

An oral behavior acquisition unit that acquires behavior information indicating movement of the oral cavity of the user who is the prediction target;
A food and beverage information acquisition unit for acquiring food and beverage information indicating food and drink contained in the oral cavity,
A prediction unit for predicting the healing state of the oral cavity based on the behavior information acquired by the behavior acquisition unit and the food information acquired by the food information acquisition unit;
A caries healing support device comprising: The predicting unit applies a prediction model that is provided for each predetermined tooth or each type of tooth and indicates a healing state according to a lapse of time after eating or drinking, thereby healing each predetermined tooth or each type of tooth. Predict the state,
The caries healing support device according to claim 1. A storage unit for storing a prediction reference model that is a parameter corresponding to food and drink and a reference for generating the prediction model;
The prediction unit predicts the healing state by generating the prediction model based on the parameters and the prediction reference model stored in the storage unit, and the food and beverage information acquired by the food and beverage information acquisition unit. I do,
The caries healing support device according to claim 2. It further comprises a caries determination unit for determining the caries level of each tooth,
The caries healing support device according to any one of claims 1 to 3, wherein the prediction unit predicts a healing state for a tooth other than a predetermined level of teeth determined by the caries determination unit. Based on the healing state predicted by the prediction unit, an action proposal unit that makes an action proposal to the user,
The caries healing support device according to any one of claims 1 to 4, further comprising: The oral behavior acquisition unit acquires time information on the movement of the oral cavity in addition to behavior information,
The action suggesting unit outputs a message for healing support based on the time information.
The caries healing support device according to claim 5.