JP6892352B2 - Caries healing support device - Google Patents

Description

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

In Patent Document 1 below, a caries risk assessor generates a stefan curve from the frequency of samples and meals collected from the oral cavity of a subject in order to maintain the oral environment in the best condition, and uses this stefan curve. There is a description of predicting the condition in the oral cavity based on it.

Japanese Unexamined Patent Publication No. 2006-308462

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

Therefore, an object of the present invention is to provide a caries healing support device capable of appropriately predicting a state in the oral cavity.

In order to solve the above-mentioned problems, the caries healing support device of the present invention acquires behavioral information indicating the movement of the oral cavity of the user, which is a prediction target, and stores the behavioral information together with the acquisition time. A food and drink information acquisition unit that acquires food and drink information indicating food and drink contained in the oral cavity, a prediction unit that predicts the healing state of the user's teeth, and a healing state according to the passage of time after eating and drinking. A storage unit for storing a parameter corresponding to food and drink and a reference prediction reference model for generating a prediction model showing the above, and the prediction unit includes the parameter stored in the storage unit and the storage unit. Based on the prediction reference model, the elapsed time from the time when the action was taken, the behavior information acquired by the oral behavior acquisition unit, and the food and drink information acquired by the food and drink information acquisition unit. By generating the prediction model, the healing state of the user's teeth is predicted .

According to the present invention, it is possible to appropriately predict the healing state in the oral cavity based on foods and drinks having different times of transition to the 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 functional structure of the caries healing support apparatus 100 of this embodiment. It is a figure which shows the type of a tooth. It is a flowchart which shows the operation of the caries healing support apparatus 100. It is a figure which shows the specific example of the prediction model. It is a figure which shows an example of the hardware composition of the caries healing support apparatus 100 which concerns on this embodiment.

An embodiment of the present invention will be described with reference to the accompanying drawings. When possible, the same parts are designated by the same reference numerals and duplicate description is omitted.

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

The caries healing support device 100 is a so-called information processing device, which can communicate wirelessly or by wire with the camera 101a and the oral behavior sensor 103a. The caries healing support device 100 performs determination processing based on various data acquired from the camera 101a and the oral behavior sensor 103a. Hereinafter, each configuration will be described.

The caries determination unit 101 is a portion that determines the caries of each tooth based on the image data in the oral cavity taken by the camera 101a. The caries determination is performed by image diagnosis, and is performed by matching with a predetermined image pattern for each caries level. The caries determination unit 101 may make a determination only once in advance, or may make a 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, and acquires image data in the oral cavity and transmits the image data to the caries determination unit 101.

The food and drink information acquisition unit 102 is a part that determines food and drink based on image data including food and drink acquired by the camera 101a and stores the food and drink information. The food and drink information acquisition unit 102 is not limited to the image data from the camera 101a, and the user designates food and drink to an information terminal (smartphone or the like) (not shown), and the food and drink information acquisition unit 102 is the food and drink. The determination process may be performed by acquiring the information. It is also possible to estimate food and drink based on the sound detected by a smart earphone (earphone with an information processing function equipped with a gyro sensor).

In addition, food and drink information may be acquired based on the movement of a sensor (smart watch or the like) (not shown). For example, when a smart watch or the like can detect the movement of the arm, it is possible to estimate food and drink 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 when the behavior is taken). This behavioral information indicates, but is not limited to, whether or not you are eating, smoking, or brushing your teeth.

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

The oral behavior acquisition unit 103 estimates the behavior based on the 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 a camera may be acquired, or the user may input information on oral behavior into an information terminal (not shown) and acquire the information.

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

Teeth types include, for example, incisors, canines, premolars, and molars. Since it is considered that the way the teeth are soiled differs depending on the type of tooth, it is possible to make a prediction for each tooth by preparing a parameter for generating a prediction model for each type of tooth.

The oral condition prediction unit 105 targets teeth other than the teeth determined to be carious 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. , That is, the recalcification state) is predicted. Specifically, first, the oral cavity state prediction unit 105 performs a process for generating a prediction model according to a user operation or when a predetermined condition or time is reached. Further, the oral condition prediction unit 105 determines whether or not the generation conditions of the prediction model are satisfied, such as a state in which a predetermined time has passed from eating and drinking, or a state in which eating and drinking is not performed after brushing the teeth.

Then, when the generation condition is satisfied, the oral condition prediction unit 105 generates a prediction model for each tooth based on various parameters stored in the prediction model storage unit 104 and a 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 oral condition prediction unit 105 generates a prediction model based on the information stored in the prediction model storage unit 104, but the prediction model is not limited to this. The prediction model storage unit 104 may store the prediction model for each tooth in advance, and the oral condition prediction unit 105 may select the prediction model for each tooth.

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

The action proposal unit 106 is a part that proposes an action to the user based on the content predicted by the oral condition prediction unit 105. This user includes doctors other than general users. The action proposal unit 106 calculates the remineralization time based on the prediction model generated by the oral condition prediction unit 105, the time of eating and drinking, and the current time.

That is, the action proposal unit 106 proposes when the oral state decalcified by eating and drinking exceeds the critical pH suitable for remineralization as the action timing of meals and the like. For example, output a message such as "Remineralization is occurring until the next meal. Please refrain from snacking." Further, the action proposal unit 106 may output a message such as "remineralization will start in XX hours" when the prediction model is generated in the decalcified state after eating and drinking.

The action proposal 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 of the user in normal times in advance.

ただし、０≦ｔ＜ｔ‘とする。 Here, a specific example of the prediction model will be described. The following equations (1) and (2) are examples of the prediction reference model.

However, 0 ≦ t <t'is set.

ただし、ｔ‘≦ｔとする。

However, t'≤t.

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

For example, since the pH of carbonated beverages is relatively small, a, which is the value of the coefficient of the formula (1), is set to a relatively large value. On the other hand, since the pH of curry, tea, etc. is relatively high, the coefficient value a is set to a value smaller than a set for foods and drinks having a low pH. This a is determined by predetermined foods and drinks and dishes, and a value corresponding to the pH of the foods and drinks is set.

Therefore, since the pH gradually increases in the order of soft drinks, oranges, potatoes, meat, curry, and tea, the coefficient value a is set to decrease according to the food and drink and cooking. The coefficient value a may be a value determined by smoking, and may be set to a value different from that of food and drink.

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

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

Further, 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, since the pH of curry, tea and the like is relatively high, the bias value c is set to a value larger than c set for foods and drinks having a small pH. This c is determined by a predetermined food or drink and a dish, and a value corresponding to the pH of the food or drink is set.

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

These coefficients a, b, d and the bias value c may be set for each user. As the setting method, it is conceivable to select a value given in advance based on the saliva volume of the user. In that case, it is necessary to acquire the saliva volume of the user in advance. Since the neutralizing effect is higher as the amount of saliva is larger, the coefficients b and d and the bias value c are set to higher values as the amount of saliva is larger. 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 incisors H1, the canines H2, the premolars H3, and the molars H4 are formed in the back of the mouth in that order. It is considered that the dirt on the teeth tends to remain as it goes deeper, so it is preferable that the coefficient d of the above equation (2) is set to a smaller value as it goes deeper. For example, the following settings are considered to be preferable.

Incisors: d> 1
Canines, premolars: d = 1
Molars: d <1 The prediction model storage unit 104 stores the above mathematical formulas and various coefficients. The oral condition prediction unit 105 predicts the healing state (pH) of each tooth according to the above prediction model.

The oral condition prediction unit 105 applies a coefficient a according to food or drink or smoking, 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. To generate a predictive model for each tooth or each type of tooth.

FIG. 4 is a diagram showing an example of the prediction model. As shown in FIG. 4, when t is 0, that is, immediately after eating and drinking, the oral cavity is in a recalcified state, and as time passes, it becomes a decalcified state. When t is t', the pH is in a decalcified state showing a minimum value. After that, the pH changes from the decalcified state showing the minimum value to the recalcified state through the critical pH state. After that, it becomes a relime state and converges so that the pH approaches 7.

The action proposal unit 106 calculates the remineralization time based on the prediction model generated by the oral condition prediction unit 105, the current time, the time of eating and drinking, etc., and sends a message for initial caries healing to the user. To provide.

Next, the operation of the caries healing support device 100 of the present 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 the caries in each tooth in advance (S101). In addition, the oral behavior acquisition unit 103 acquires behavioral information as to whether or not a meal has been ingested before, after, or in real time, together with the time of ingestion (S102). In addition, the food and drink information acquisition unit 102 acquires the meal content, which is food and drink information, before or after (S103). In addition, the oral behavior acquisition unit 103 acquires information on whether or not the tooth has been brushed together with the time (S104). In these steps S102 to S104, the acquisition process A of various information is repeatedly performed.

Predictive model of either according to the user's operation or when a predetermined condition or time is reached, toothpaste information indicating that the toothpaste has been brushed has been acquired, or a predetermined time has passed since the meal was ingested. Whether or not the conditions for generation are satisfied is determined by the oral condition prediction unit 105. Then, when it is determined that the conditions for generating the prediction model are satisfied, the oral condition prediction unit 105 generates a prediction model for predicting the pH in the oral cavity based on the meal content (food and drink information). (S105).

Then, the action proposal unit 106 calculates the meal intake timing based on the time and prediction model of eating, smoking, or brushing teeth (behavior information) (S106). That is, the elapsed time from eating and drinking is known from the time of eating and the current time, and the prediction is made by applying it to the prediction model. Then, the action proposal unit 107 notifies the user of the meal intake timing (S107). The action proposal may, for example, notify that a meal is available when the timing of eating a meal is reached, or may notify in advance that a meal is available.

Next, the action and effect of the caries healing support device 100 of the present embodiment will be described.

The caries healing support device 100 of the present embodiment acquires the oral behavior acquisition unit 103 that acquires the behavior information indicating the movement of the oral cavity of the user, which is the prediction target, and the food and drink information indicating the food and drink contained in the oral cavity. The food and drink information acquisition unit 102, and the oral condition prediction unit 105 that predicts the healing state of the oral cavity based on the behavior information acquired by the oral behavior acquisition unit 103 and the food and drink information acquired by the food and drink information acquisition unit 102. , Equipped with.

According to this embodiment, the healing state in the oral cavity can be predicted based on the food and drink information. Generally, the pH differs depending on the food and drink, so it is determined whether or not it is prone to caries. Therefore, depending on the food and drink, the time to transition to a healing state such as remineralization differs. According to the present invention, the healing state in the oral cavity can be appropriately predicted based on food and drink.

Further, in the caries healing support device 100 of the present embodiment, the oral condition prediction unit 105 applies a prediction model provided for each predetermined tooth and showing a healing state according to the passage of time after eating and drinking. Then, the healing state of each predetermined tooth is predicted.

According to this embodiment, a prediction model is provided for each tooth, and the healing state of each tooth is predicted, so that detailed prediction is possible.

Further, the caries healing support device 100 of the present embodiment provides a parameter (bias value b) corresponding to food and drink and a reference prediction reference model (for example, the above equation (1)) for generating a prediction model. A prediction model storage unit 104 to be stored is further provided, and the oral state prediction unit 105 includes parameters and prediction reference models stored in the prediction model storage unit 104, and food and drink information acquired by the food and drink information acquisition unit 102. Based on this, a prediction model is generated, and prediction is made based on the prediction model.

According to this embodiment, it is possible to generate a prediction model corresponding to the ingested food and drink, and it is possible to make an appropriate prediction according to the food and drink.

Further, 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 oral condition prediction unit 105 is a predetermined value determined by the caries determination unit 101. Make predictions for teeth other than level teeth.

According to this embodiment, no prediction is made as to whether the caries level has reached a predetermined level. For example, it is preferable to exclude a tooth having a high level of caries progression because it is not suitable for the present embodiment aimed at healing the initial caries. Of course, prediction may be made for all teeth.

Further, the caries healing support device 100 of the present embodiment further includes an action proposal unit 106 that makes an action proposal to the user based on the healing state predicted by the oral condition prediction unit 105.

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

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

As a result, 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.

Further, in the caries healing support device 100 of the present embodiment, the oral condition 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, the way the teeth are soiled differs depending on the type of tooth, and it is considered preferable to predict the healing state by using a prediction model accordingly. In the present embodiment, an appropriate prediction can be made by using such a prediction model.

The block diagram used in the description of the above embodiment shows a block of functional units. 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 physically and / or logically coupled device, or directly and / or indirectly by two or more physically and / or logically separated devices. (For example, wired and / or wireless) may be connected and realized by these a plurality of devices.

For example, the caries healing support device 100 in one embodiment of the present invention may function as a computer that processes the caries healing support device 100 of the present embodiment. FIG. 5 is a diagram showing an example of the hardware configuration of the caries healing support device 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 word "device" 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 more of the devices shown in the figure, or may be configured not to include some of the devices.

For each function of the caries healing support device 100, by loading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, the processor 1001 performs an operation, and communication by the communication device 1004 and the memory 1002 are performed. And by controlling the reading and / or writing of data in the storage 1003.

Processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be composed of a central processing unit (CPU) including an interface with a peripheral device, a control device, an arithmetic unit, a register, and the like. For example, the oral condition prediction unit 105 may be realized by the processor 1001.

Further, the processor 1001 reads a program (program code), a software module, and data from the storage 1003 and / or the communication device 1004 into 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-described embodiment is used. For example, the oral condition 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 for other functional blocks as well. .. Although it has been described that the various processes described above are executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. Processor 1001 may be mounted on one or more chips. The program may be transmitted from the network via a telecommunication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). May be done. The memory 1002 may be referred to as 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, or the like that can be executed to carry out the wireless communication method according to the embodiment of the present invention.

The storage 1003 is a computer-readable recording medium, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, an optical magnetic disk (for example, a compact disk, a digital versatile disk, a Blu-ray). It may consist of at least one (registered trademark) disk), smart card, flash memory (eg, 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 containing memory 1002 and / or 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, for example, a network device, a network controller, a network card, a communication module, or the like. For example, the caries determination unit 101, the food and drink information acquisition unit 102, the oral behavior acquisition unit 103, and the like described above 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, etc.) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Further, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. Bus 1007 may be composed of a single bus, or may be composed of different buses between devices.

Further, the caries healing support device 100 is hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured to include, and a part or all of each functional block may be realized by the hardware. For example, processor 1001 may be implemented on at least one of these hardware.

Although the present embodiment has been described in detail above, it is clear to those skilled in the art that the present embodiment is not limited to the embodiment described in the present specification. This embodiment can be implemented as a modified or modified mode without departing from the spirit and scope of the present invention determined by the description of the claims. Therefore, the description of the present specification is for the purpose of exemplifying explanation, and does not have any restrictive meaning to the present embodiment.

The notification of information is not limited to the embodiments / embodiments described herein, 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, etc. It may be carried out by notification information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof. Further, 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 Trademarks), GSM (Registered Trademarks), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, UWB (Ultra-WideBand), It may be applied to Bluetooth®, other systems that utilize suitable systems and / or next-generation systems that are extended based on them.

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

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

The determination may be made by a value represented by 1 bit (0 or 1), by a boolean value (Boolean: true or false), or by comparing numerical values (for example, a predetermined value). It may be done by comparison with the value).

Each aspect / embodiment described in the present specification may be used alone, in combination, or switched with execution. Further, the notification of predetermined information (for example, the notification of "being X") is not limited to the explicit one, but is performed implicitly (for example, the notification of the predetermined information is not performed). May be good.

Software, whether referred to as software, firmware, middleware, microcode, hardware description language, or by any other name, is an instruction, instruction set, code, code segment, program code, program, subprogram, software module. , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, features, etc. should be broadly interpreted.

Further, software, instructions, and the like may be transmitted and received via a transmission medium. For example, the software uses 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 to websites, servers, or other When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission medium.

The information, signals, etc. described herein may be represented using any of a variety of different techniques. For example, data, instructions, 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. It may be represented by a combination of.

The terms described herein and / or the terms necessary for understanding the present specification may be replaced with terms having the same or similar meanings.

Further, the information, parameters, etc. described in the present specification may be represented by an absolute value, a relative value from a predetermined value, or another corresponding information. .. For example, the radio resource may be indexed.

The names used for the above parameters are not limited in any way. Further, mathematical formulas and the like using these parameters may differ from those expressly disclosed herein. Since the 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 in any respect. However, it is not limited.

The terms "determining" and "determining" as used herein may include a wide variety of actions. "Judgment" and "decision" are, for example, judgment (judging), calculation (calculating), calculation (computing), processing (processing), derivation (deriving), investigating (investigating), searching (looking up) (for example, table). , Searching in a database or another data structure), ascertaining can be considered as a "judgment" or "decision". Also, "judgment" and "decision" are receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. (Accessing) (for example, accessing data in memory) may be regarded as "judgment" or "decision". In addition, "judgment" and "decision" mean that the things such as solving, selecting, choosing, establishing, and comparing are regarded as "judgment" and "decision". Can include. That is, "judgment" and "decision" may include considering some action as "judgment" and "decision".

The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or connection between two or more elements, and each other. It can include the presence of one or more intermediate elements between two "connected" or "combined" elements. The connection or connection between the elements may be physical, logical, or a combination thereof. As used herein, the two elements are by using one or more wires, cables and / or printed electrical connections, and, as some non-limiting and non-comprehensive examples, radio frequencies. By using electromagnetic energies such as electromagnetic energies with wavelengths in the region, microwave region and light (both visible and invisible) regions, they can be considered to be "connected" or "coupled" to each other.

The phrase "based on" as used herein does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

When the terms "first", "second", etc. are used herein, any reference to the elements does not generally limit the quantity or order of those elements. These designations can be used herein as a convenient way to distinguish between two or more elements. Thus, references to the first and second elements do not mean that only two elements can be adopted there, or that the first element must somehow precede the second element.

As long as "include", "including", and variations thereof are used within the scope of this specification or claims, these terms are similar to the term "comprising". Is intended to be inclusive. Moreover, the term "or" as used herein or in the claims is intended not to be an exclusive OR.

In the present specification, a plurality of devices shall be included unless the device has only one device, which is apparently present in the context or technically.

In the whole of the present disclosure, the plural shall be included unless the context clearly indicates the singular.

100 ... Caries healing support device, 101 ... Caries determination unit, 101a ... Camera, 102 ... Food and drink information acquisition unit, 103 ... Oral behavior acquisition unit, 103a ... Oral behavior sensor, 104 ... Predictive model storage unit, 105 ... Oral cavity Internal state prediction department, 106 ... Action proposal department.

Claims (5)

An oral behavior acquisition unit that acquires behavior information indicating the movement of the user's oral cavity, which is a prediction target, and stores the behavior information together with the acquired time.
A food and drink information acquisition unit that acquires food and drink information indicating the food and drink contained in the oral cavity, and
A prediction unit that predicts the healing state of the user's teeth,
It is provided with a storage unit for storing parameters corresponding to food and drink and a reference prediction reference model for generating a prediction model showing a healing state according to the passage of time after eating and drinking.
The prediction unit includes the parameters stored in the storage unit, the prediction reference model, the elapsed time from the time when the action is taken, the behavior information acquired by the oral behavior acquisition unit, and the food and drink. Based on the food and drink information acquired by the object information acquisition unit, the prediction model is generated to predict the healing state of the user's teeth .
Caries healing support device. The prediction unit, provided for each type of predetermined tooth or tooth, by applying the prediction model to predict the healing status of each type of the predetermined tooth or teeth,
The caries healing support device according to claim 1. Further equipped with a caries determination unit that determines the caries level of each tooth,
The caries healing support device according to claim 1 or 2 , wherein the prediction unit predicts a healing state of a tooth other than a predetermined level tooth determined by the caries determination unit. An action proposal unit that makes an action proposal to the user based on the healing state predicted by the prediction unit.
The caries healing support device according to any one of claims 1 to 3, further comprising. The oral behavior acquisition unit acquires the time information of the oral movement in addition to the behavior information, and obtains the time information.
The action proposal unit outputs a message for healing support based on the time information.
The caries healing support device according to claim 4.

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