Infertility treatment support system and infertility treatment support method

Abstract

To provide a system and method for efficiently supporting infertility treatment [Solution] An infertility treatment support system comprising a wearable thermometer that measures the user's body temperature and an information processing device capable of wireless communication with the wearable thermometer, wherein the wearable thermometer comprises a measurement unit that measures the user's body temperature data and a transmission unit that transmits the body temperature data to the information processing device, and the information processing device comprises a registration unit that determines period and cycle data related to the user's menstruation based on the series data of the body temperature data, a prediction unit that predicts ovulation based on the period and cycle data, and an output unit that outputs to the user based on the prediction results.

Description

[Technical Field]

[0001] The present invention relates to an infertility treatment support system and an infertility treatment support method that can be used to treat infertility. [Background technology]

[0002] It is widely known that the likelihood of conception is closely related to changes in a woman's daily basal body temperature due to changes in her hormone balance, so daily basal body temperature is also used as important information in infertility treatment.

[0003] On the other hand, as women have become more active in society and their lives have become busier than ever, it has become very difficult for women to measure their basal body temperature at a fixed time every morning.

[0004] In response to this, various inventions have been devised relating to thermometers that are attached to the clothing of a user to track and measure the user's body temperature over an extended period of time.

[0005] For example, Patent Document 1 discloses an infertility treatment support thermometer that can be attached to any clothing and is easy to use, with sufficiently improved aesthetics and comfort when used. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Patent Publication No. 2023-116982 Summary of the Invention [Problem to be solved by the invention]

[0007] However, no specific proposals have been made regarding a method for improving the efficiency of infertility treatment using such a thermometer, and a system for doing so.

[0008] The present invention has been made in consideration of the above-mentioned problems, and an object to be achieved is to provide a system and method for making support for infertility treatment more efficient. [Means for solving the problem]

[0009] [1] An infertility treatment support system comprising a wearable thermometer that measures a user's body temperature and an information processing device that can wirelessly communicate with the wearable thermometer, The wearable thermometer includes a measurement unit that measures body temperature data of the user; a transmitting unit that transmits the body temperature data to the information processing device, The information processing device includes a registration unit that determines period and cycle data related to the user's menstruation based on the series data of the body temperature data; A prediction unit that predicts ovulation based on the period and cycle data; and an output unit that outputs to the user based on the prediction result. [2] The information processing device stores default values ​​of the period / cycle data relating to regular menstrual cycles and irregular menstrual cycles; The registration unit determines the period / cycle data of the user based on a selection of the default value from the user, The system according to [1], wherein when the series data for determining the period / cycle data is insufficient, the prediction unit performs the ovulation prediction based on the period / cycle data of the default value. [3] The information processing device stores default values ​​of the period / cycle data relating to regular menstrual periods and irregular menstrual periods; the registration unit determines the period / cycle data including the menstrual period based on the selection of the default value by the user; The system according to [2], wherein the output unit outputs to the user based on the period / cycle data including the menstrual period. [4] The system described in [2] or [3], wherein when the sequence data for a predetermined period is accumulated, the registration unit updates the determined period / cycle data to the newly determined period / cycle data for the user based on the sequence data for the predetermined period. [5] The system described in [4], wherein the registration unit calculates the average value of the period / cycle data per cycle based on the series data relating to multiple menstrual cycles, and determines the period / cycle data by rounding up the decimal point of the average value. [6] The system according to any one of [1] to [5], wherein the output unit outputs to the user when the sequence data indicates a change amount that satisfies an output condition, in addition to outputting based on the prediction result. [7] As the transmission process, the transmission unit compares the body temperature data measured by the measurement unit with the body temperature data to be transmitted, and determines whether the amount of change meets the transmission conditions, and transmits the body temperature data measured by the measurement unit based on the determination result. [8] The wearable thermometer is a system described in any one of [1] to [7], which transmits the body temperature data in a periodic transmission mode in which the measurement unit periodically measures the body temperature data and the transmission unit processes the transmission, or in an optional transmission mode in which the measurement unit measures the body temperature data in response to a request from the user and the transmission unit processes the transmission. [9] The system according to any one of [1] to [8], wherein the wearable thermometer or the information processing device determines basal body temperature data from the measured body temperature data based on the wake-up time of the user.

[10] An infertility treatment support method executed by a wearable thermometer that measures a user's body temperature and an information processing device that can wirelessly communicate with the wearable thermometer, The wearable thermometer measures body temperature data of the user; transmitting the body temperature data to the information processing device; The information processing device determines period and cycle data related to the user's menstruation based on the series data of the body temperature data; Predicting ovulation based on the period and cycle data; and outputting the result of the prediction to the user.

[0010] The inventions of [1] and

[10] make it possible to easily measure the user's body temperature and reduce the burden on the user in predicting ovulation.

[0011] [2] The invention of the present invention allows ovulation prediction using appropriate values ​​even when there is insufficient data to determine the user's unique period and cycle data.

[0012] The invention related to [3] also makes it possible to provide information about the menstrual period to the user.

[0013] [4] The invention of the present invention allows users to update their own period and cycle data based on actual data, enabling more accurate ovulation prediction.

[0014] The invention according to [5] increases the probability that a period such as menstruation will occur during the predicted period, improving the reliability of the prediction.

[0015] The invention of [6] makes it possible to notify users of sequential data in addition to predicting ovulation, thereby further improving the efficiency of infertility treatment support.

[0016] The invention according to [7] can reduce the battery consumption of the wearable thermometer and ease the burden on the user for predicting ovulation.

[0017] The invention of [8] makes it easy to record body temperature using a wearable thermometer.

[0018] The invention according to [9] can improve the accuracy of the acquired basal body temperature and improve the prediction accuracy. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a block diagram of an infertility treatment support system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a hardware configuration diagram according to an embodiment of the present invention. [Figure 3] 1A and 1B are a plan view and a side view of a wearable thermometer according to an embodiment of the present invention. [Figure 4] 1A and 1B are diagrams illustrating an example of how the wearable thermometer according to an embodiment of the present invention is worn. [Figure 5] FIG. 1 is a functional block diagram according to an embodiment of the present invention. [Figure 6] 1 is a processing flowchart of an infertility treatment support system according to an embodiment of the present invention. [Figure 7] 10 is a screen display example of an application screen according to an embodiment of the present invention. [Figure 8] 10 is a screen display example of an application screen according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] Hereinafter, an infertility treatment support system according to an embodiment of the present invention will be described with reference to the drawings. Note that the embodiment shown below is an example of the present invention, and the present invention is not limited to the following embodiment, and various configurations can be adopted.

[0021] In this embodiment, the configuration, operation, etc. of the infertility treatment support system will be described, but similarly configured infertility treatment support methods, computer programs, and program recording media on which the programs are recorded also achieve similar effects. For example, by using a program recording media, the program can be installed on a computer. The series of processes according to this embodiment described below are provided as a computer-executable program, and can be provided via a non-transitory computer-readable recording medium such as a CD-ROM or a flexible disk, or even via a communication line.

[0022] <System configuration> Figure 1 shows a system configuration diagram of an infertility treatment support system 1. The infertility treatment support system 1 includes a wearable thermometer 2, a user terminal 3, and a cloud server 4. The wearable thermometer 2 and the user terminal 3 are wirelessly connected, and the user terminal 3 and the cloud server 4 are connected to a communication network NW.

[0023] The infertility treatment support system 1 measures the user's body temperature data and makes accurate ovulation predictions taking into account the individual's period and cycle data.

[0024] <Hardware configuration> 2(a) shows a hardware configuration diagram of the wearable thermometer 2. The wearable thermometer 2 includes a processing unit 201, a storage unit 202, a communication unit 203, a temperature sensor 204, and an input unit 205 as its hardware configuration.

[0025] The processing unit 201 is composed of one or more processors, such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit), and controls the overall processing of the wearable thermometer 2 by executing a thermometer program, an OS (Operating System), and other applications. The storage unit 202 is a flash memory, RAM (Random Access Memory), or the like, and stores the thermometer program and various data. The communication unit 203 realizes data communication with tablets, smartphones, PCs, and other external devices using wireless communication technology such as Bluetooth (registered trademark). The temperature sensor 204 is a sensor that measures the user's body temperature. The input unit 205 is an interface, such as a switch or touch sensor, that accepts input operations from the user.

[0026] 2(b) shows a hardware configuration diagram of the user terminal 3. The user terminal 3 includes, as its hardware configuration, a processing unit 301, a storage unit 302, a communication unit 303, an input unit 304, and a display unit 305. In this embodiment, the user terminal 3 may be a smartphone, a personal computer, a tablet terminal, or the like.

[0027] The processing unit 301 is composed of one or more processors such as a CPU, and controls the overall processing of the user terminal 3 by executing the infertility treatment support program for terminals, an OS, other applications, etc. The storage unit 302 is composed of an HDD, SSD, flash memory, RAM, etc., and stores the infertility treatment support program for terminals and various data. The communication unit 303 controls communication with a wireless communication network to realize data communication with the wearable thermometer 2, and also controls communication with a wide area communication network to realize data communication with the cloud server 4. The input unit 304 is an input interface that accepts input operations by the user, and is composed of a touch panel, mouse, keyboard, etc. The display unit 305 is composed of a display that displays and outputs images, etc.

[0028] 2(c) shows a hardware configuration diagram of the cloud server 4. The cloud server 4 includes a processing unit 401, a storage unit 402, and a communication unit 403 as its hardware configuration.

[0029] The processing unit 401 is composed of one or more processors such as a CPU, and controls the overall processing in the user terminal 3 by executing the infertility treatment support program for the server, an OS, other applications, etc. The storage unit 402 is an HDD, SSD, flash memory, RAM, etc., and stores the infertility treatment support program for the server and various data. The communication unit 403 controls communication with the communication network and realizes data communication with at least the user terminal 3.

[0030] <Wearable Thermometer 2 Device Configuration> 3(a) to 3(d) are external views of the wearable thermometer 2. Fig. 3(a) shows a side view of the wearable thermometer 2, Fig. 3(b) shows a front view of the wearable thermometer 2, Fig. 3(c) shows a side view of the wearable thermometer 2 in a folded state (clamped state), and Fig. 3(d) shows a front view of the wearable thermometer 2 in a folded state (clamped state).

[0031] The wearable thermometer 2 comprises a first exterior part L1 and a second exterior part L2 formed from a flexible material, and the components shown in dotted lines and the hardware components described above are enclosed between the exterior parts.

[0032] In this embodiment, the wearable thermometer 2 includes a clamping unit 211 and a switch SW (input unit 205). The clamping unit 211 has a first magnetic body 211A, a second magnetic body 211B, and a rotating part 211C, which are contained in an exterior part, and has a clip-like structure that can be attached by clamping the user's clothing, such as underwear or undergarments.

[0033] As shown by the dashed line in Fig. 3(a), by rotating first magnetic body 211A via rotating part 211C in clamping part 211, first magnetic body 211A and second magnetic body 211B can be magnetically attracted to each other as shown in Fig. 3(c) and (d). This allows clothing W of user X to be clamped by wearable thermometer 2 as shown in Fig. 4.

[0034] A typical magnet is used for first magnetic body 211A, but its shape is a thin disk. The thin shape allows wearable thermometer 2 to be made thinner, and the disk shape reduces the risk of clothing getting caught or being damaged when clamped, compared to a polygonal shape.

[0035] The second magnetic body 211B uses a cell or battery that can be magnetically attached to the first magnetic body 211A, and preferably uses a button battery, so that the second magnetic body 211B can simultaneously function as a power supply unit that supplies power to hardware components such as the processing unit 201.

[0036] The pivoting portion 211C is located between the first magnetic body 211A and the second magnetic body 211B, and can pivot the first magnetic body 211A and the second magnetic body 211B so that the magnetically attachable surfaces of the first magnetic body 211A and the second magnetic body 211B can face each other.

[0037] In this embodiment, the first magnetic body 211A and the second magnetic body 211B are provided with a predetermined gap therebetween, and a flexible portion made up of the first exterior part L1 and the second exterior part L2 is formed between them. The first exterior part L1 and the second exterior part L2 are made of a flexible material and are freely bendable, so this flexible portion functions as the pivoting part 211C.

[0038] Note that clamping portion 211 may have any shape or structure as long as it can bring temperature sensor 204 into contact with the user's temperature measurement position. For example, clamping portion 211 may be bent in advance to have a clip pin structure that clamps the user's clothing, or the exterior portion may be formed of a flexible material to form rotating portion 211C that clamps the user's clothing. Furthermore, rotating portion 211C may be a rotatable structure such as a hinge, and the user's clothing may be clamped by a magnetic material.

[0039] <Functional components> 5 is a functional block diagram of the infertility treatment support system 1. The wearable thermometer 2 includes, as functional components, a measurement unit 21 and a transmission unit 22. The user terminal 3 includes, as functional components, a data transmission unit 31 and an interface unit 32, and the cloud server 4 includes, as functional components, a registration unit 41, a prediction unit 42, and an output unit 43.

[0040] In this embodiment, the infertility treatment support system 1 is realized by a server-client type system configuration consisting of a cloud server 4 on which a server-use infertility treatment support program is installed and a user terminal 3 on which a terminal-use infertility treatment support program is installed. Here, the layout of the functional components can be designed as desired, and for example, some or all of the functional components of the cloud server 4 may be installed in the user terminal 3 or the wearable thermometer 2, and for example, the user terminal 3 may perform the registration of physiological information, etc., described below, the prediction of menstrual schedules, output to the user, etc.

[0041] The measurement unit 21 measures the body temperature data of the user using the temperature sensor 204 and assigns a timestamp to the measured body temperature data. The transmission unit 22 transmits at least a part of the body temperature data measured by the measurement unit 21 to the user terminal 3.

[0042] The data transmission unit 31 transmits the body temperature data received from the wearable thermometer 2 to the cloud server 4 in association with the user's identification information (for example, the unique ID of the infertility treatment support application for terminal). Note that some functional components of the user terminal 3, such as the data transmission unit 31, may be mounted on the wearable thermometer 2, and for example, the transmission unit 22 of the wearable thermometer 2 may access a communication network such as a mobile communication network to transmit body temperature data to the cloud server 4. In this case, the wearable thermometer 2 associates the body temperature data with the user's identification information (for example, a unique ID of the wearable thermometer 2) and transmits the data.

[0043] The interface unit 32 accepts input from the user and outputs to the user, providing a user interface function for the infertility treatment support system 1. The user issues information registration requests and output requests to the user terminal 3 and / or cloud server 4 via the interface unit 32, and also performs various outputs based on the results of the output processing in the user terminal 3 and / or cloud server 4. Hereafter, explanation of the involvement of the interface unit 32 will be omitted to the extent that it will not be unclear.

[0044] The registration unit 41 determines period / cycle data and registers physiological information. At least a part of the physiological information, including the initial values ​​of the period / cycle data, is input via the interface unit 32. The registration unit 41 stores the physiological information in a memory unit (in this embodiment, the memory unit 302 or 402).

[0045] The period / cycle data is data related to the period and cycle (number of days), and includes the user's menstrual cycle and period, high temperature period, etc. At least a portion of the period / cycle data (in this embodiment, the menstrual cycle and period) includes an initial value determined by the user and an estimated value determined from accumulated body temperature data.

[0046] The other physiological information includes the menstruation start date registered by the user or the expected menstruation start date predicted by the prediction unit 42, and the expected ovulation start date predicted by the prediction unit 42. The registration unit 41 also registers in the storage unit other user information registered by the user, including the date of birth, age, height, weight, history of pregnancy, and constitutional type such as regularity or irregularity, and medication information registered by the user and indicating information on medications being taken.

[0047] The prediction unit 42 predicts ovulation based on physiological information. In this embodiment, the prediction unit 42 predicts unknown physiological information including a menstrual schedule such as the expected ovulation date and the expected menstrual start date thereafter, based on known physiological information such as period / cycle data and the menstrual start date (or expected menstrual start date).

[0048] The output unit 43 outputs physiological information to the user based on the prediction result of the prediction unit 42 via the interface unit 32. In this embodiment, the output unit 43 displays and outputs the physiological information on an application screen or a notification area on the user terminal 3 via the interface unit 32. Alternatively, the output unit 43 may output the information by voice or the like via the interface unit 32.

[0049] In addition to the physiological information predicted by the prediction unit 42, the output unit 43 may further output information selected in accordance with the physiological information predicted by the prediction unit 42 and other physiological information, such as period / cycle data registered by the user or the registration unit 41, user information, medication information, and body temperature data measured by the wearable thermometer 2.

[0050] Next, the processing procedure of the infertility treatment support system 1 according to this embodiment will be illustrated with reference to FIG.

[0051] <Registering initial values ​​for period, cycle data, etc.> First, when starting to use the infertility treatment support system 1, the user registers physiological information via the registration unit 41 (step S101).

[0052] In step S101, the user registers the initial period / cycle data a and the initial menstruation start date A (the menstruation start date in the current menstrual cycle A), user information, and medication information via the registration unit 41.

[0053] Period / cycle data a (initial value) can be registered by directly specifying the period and number of days, but in this embodiment, the type of period / cycle data to be used as the initial value is selected from pre-prepared default values. Depending on the selected type, the registration unit 41 registers the initial values ​​of menstrual cycle a and menstrual period a. The user also registers at least the start date A of the previous period (the start date of menstruation in the current menstrual cycle A) via the registration unit 41.

[0054] The cloud server 4 on which the server-based infertility treatment support program is installed or the user terminal 3 on which the terminal-based infertility treatment support program is installed will hold default values ​​for regular and irregular menstrual cycles and menstrual periods as default values ​​for period and cycle data. For example, by providing the following default values, the user can easily set the initial values ​​by selecting the one that most closely matches their own condition.

[0055] Example of default value: 1. Period and cycle data for "regularity" 1.1.Menstrual cycle: 28 days 1.2. Menstrual period: 5 days 2. Period and cycle data for "irregularity" 2.1.Menstrual cycle: 27 days 2.2. Menstrual period: 9 days

[0056] In this embodiment, multiple sets of default values ​​for period / cycle data are prepared, but a default value for only one type of period / cycle data (for example, only the menstrual cycle) may be prepared. Also, in this embodiment, two types of default values ​​or sets thereof are prepared, but three or more types of default values ​​or sets thereof may be prepared. For example, the period / cycle data for "irregularity" may be further subdivided, and any type of default value may be prepared, such as one where both the "menstrual cycle" and the "menstrual period" are short, one where both are long, one where one is normal and the other short, or one where one is normal and the other long. The duration of the high temperature period is a fixed value (14 days).

[0057] <Prediction of menstrual schedule> In step S102, the prediction unit 42 predicts ovulation by predicting a menstrual schedule based on the registered menstrual information. Any method for predicting ovulation may be used, but in this embodiment, the prediction unit 42 predicts a menstrual schedule including the expected menstrual end date A and ovulation date A of the current menstrual cycle A, and at least the expected menstrual start date B, expected menstrual end date B, and ovulation date B of the next menstrual cycle B. Note that the prediction unit 42 may also predict expected menstrual start date C for the next or subsequent menstrual cycle C at this point.

[0058] The prediction unit 42 predicts the menstrual schedule by, for example, the following calculation. Expected end date of menstruation A: “Start date of menstruation A” + “Menstrual period a” Ovulation day A: "Menstruation start day A" + ("Menstrual cycle a" - 14 days (number of days in the high temperature period)) Expected menstruation start date B: “Menstruation start date A” + “Menstrual cycle a” Expected end date of menstruation B: "Expected start date of menstruation B" + "Menstrual period a" Ovulation day B: "Expected start date of menstruation B" + ("Menstrual cycle A" - 14 days (number of days in the high temperature period))

[0059] <Measurement and transmission of body temperature data> The wearable thermometer 2 transmits body temperature data in a periodic transmission mode in which the measuring unit 21 periodically measures body temperature data and the transmitting unit 22 processes the transmission, and in an optional transmission mode in which the measuring unit 21 measures body temperature data in response to a request from the user and the transmitting unit 22 processes the transmission.

[0060] In step S103, the user wears the wearable thermometer 2 and measures body temperature data. While the wearable thermometer 2 is running, it transmits body temperature data in the periodic transmission mode, and during that time it transmits body temperature data in the optional transmission mode at a timing desired by the user.

[0061] In the periodic transmission mode, the measurement unit 21 measures body temperature data at predetermined intervals (for example, every three minutes), and the transmission unit 22 performs transmission processing by determining whether the body temperature data measured by the measurement unit 21 meets the transmission conditions and transmits the body temperature data that meets the transmission conditions to the user terminal 3 (information processing device). In this embodiment, the transmission unit 22 compares newly measured body temperature data with the body temperature data transmitted immediately before (the body temperature data immediately before the body temperature data that became the transmission target), and determines that the newly measured body temperature data meets the transmission conditions if the amount of change meets the predetermined condition (in this embodiment, plus or minus 0.3 degrees or more). This prevents unnecessary body temperature data from being transmitted to the information processing device, thereby reducing battery consumption in the wearable thermometer 2. Note that the initial body temperature data measured at the start of measurement is not determined based on the amount of change.

[0062] For example, if the measured value of the body temperature data falls within an abnormal range, such as below 35°C or above 40°C, the body temperature data is treated as an abnormal value. When the abnormal range is determined in the wearable thermometer 2, the transmission unit 22 transmits body temperature data that is within the normal range, or transmits the body temperature data to the user terminal 3 with a label indicating an abnormal value. When an abnormal value is transmitted to the user terminal 3, if body temperature measurements indicating an abnormal value continue for a certain period of time or are measured a certain number of times or more within a certain period of time, the output unit 43 notifies the user that the wearable thermometer 2 is not properly attached to clothing, etc.

[0063] When the user operates the switch SW, a request for optional transmission is made. In the optional transmission mode, the measurement unit 21 measures body temperature data upon receiving the optional transmission request from the user, and the transmission unit 22 transmits the body temperature data measured by the measurement unit 21 to the user terminal 3 (information processing device) as a transmission process. Note that the input operation for making the optional transmission request is not limited to this, and for example, the request may be made from the interface unit 32 of the user terminal 3 to the wearable thermometer 2 via wireless communication.

[0064] <Acquisition of basal body temperature data> In order to predict ovulation, it is particularly important to accurately measure basal body temperature. Basal body temperature refers to the body temperature measured in a resting state with minimal energy consumption, eliminating factors such as changes in body temperature due to activity. Here, basal body temperature is defined as the body temperature upon waking up.

[0065] Basal body temperature data is body temperature data related to basal body temperature, which is obtained from the series data within a predetermined range based on the wake-up time or from the representative data obtained from the series data. When obtaining the representative basal body temperature data, for example, the representative data can be the lowest temperature data from the body temperature data (series data) up to 30 minutes before the wake-up time, or the representative data can be based on the average value of the series data.

[0066] In this embodiment, the user inputs a wake-up time via the interface unit 32, and the registration unit 41 registers the wake-up time. In principle, the wake-up time is registered daily by the user, but if the wake-up time is not registered, a pre-registered time or a preset time is determined as the wake-up time. Note that the wearable thermometer 2 may be equipped with an acceleration sensor, or the user's wake-up may be detected via the user terminal 3 and the wake-up time may be registered.

[0067] In step S104, when a new period in cycle B is confirmed (YES), the user registers the start of period via the registration unit 41. For example, when the "period start" button is pressed on the app screen, the registration unit 41 registers period start date B in the storage unit (step S105). Note that the "period start date" may also be registered by the user directly entering a date or selecting a date field from a calendar.

[0068] When the menstruation start date B is registered in step S106, the prediction unit 42 updates the subsequent menstruation schedule predicted based on the expected menstruation start date B in step S102.

[0069] The prediction unit 42 updates the menstrual schedule, for example, by the following calculation. Expected end date of menstruation B: “Start date of menstruation B” + “Menstrual period a” Ovulation day B: "Menstruation start day B" + ("Menstrual cycle a" - 14 days (number of days in the high temperature period)) Expected menstruation start date C: "Menstruation start date B" + "Menstrual cycle A" Expected end date of menstruation C: "Expected start date of menstruation C" + "Menstrual period a" Ovulation day C: "Expected menstruation start date C" + ("Menstrual cycle a" - 14 days (number of days in the high temperature period))

[0070] <Notification output based on changes in body temperature data> In step S107, if a predetermined output condition is met, the output unit 43 performs output. If the series data of the body temperature data shows a change amount that satisfies the output condition (YES in step S107), the output unit 43 performs output to the user in step S108.

[0071] In this embodiment, when the amount of change in basal body temperature data over a predetermined period (in this embodiment, 13 to 20 days after the start of menstruation A) satisfies a predetermined condition (in this embodiment, when the basal body temperature data is increased by 0.5 degrees or more from the previous day's), the body temperature phase changes (from a low temperature phase to a high temperature phase) and an ovulation period is entered, and a push notification is sent to the user terminal 3 when the expected ovulation date approaches. Note that as an output condition for the phase change, it may be determined whether the predetermined condition is met based on body temperature data including basal body temperature. Example notification: "You are approaching your predicted ovulation period. This is the time when you are most likely to get pregnant."

[0072] The output unit 43 also issues a push notification based on a predetermined output condition in accordance with the menstrual schedule. The output unit 43 issues a notification about the update content, etc., using an update of the menstrual schedule as an output condition (S106 and S111 described below).

[0073] Output condition: Notification output example: 1. Expected menstruation date - Nth day: A push notification is sent to the user terminal 3 that menstruation is approaching. 2. (If medication information is registered) Expected start date of menstruation + 5 days, expected start date of menstruation + 6 days, expected start date of menstruation + 7 days, etc.: Based on the menstrual schedule based on the expected start date of menstruation etc. and medication information, a push notification will be sent with information on when to take medication, for example, "Please take clomiphene citrate."

[0074] 7 and 8 are examples of display output of menstrual information on the application screen W3. In the example shown in Fig. 7, the output unit 43 displays and outputs the possibility of pregnancy W3A, expected ovulation date W3B, and expected menstruation start date W3C obtained based on the prediction result by the prediction unit 42, and displays and outputs the expected menstruation period W3D and expected menstruation cycle W3E based on the period / cycle data.

[0075] In addition, W3C' and W3E' in the illustrated example are the actual menstrual start date and menstrual cycle registered by the user via the interface unit 32 and registration unit 41, but in addition to or instead of these, the menstrual start date and menstrual cycle predicted for the previous cycle may also be displayed.

[0076] Display output methods include directly displaying the event content (W3A in the illustrated example), number of days (W3D or W3E in the illustrated example), date (W3B or W3C in the illustrated example), period, etc., or marking the date or period on a graph or calendar with a date axis (W3B, W3C', W3E' in the illustrated example).

[0077] In FIG. 8, the body temperature data that has been processed for transmission (that meets the transmission conditions) is plotted and displayed in a graph display having a time axis and a body temperature axis.

[0078] Additionally, for example, when the recording of body temperature data in the optional transmission mode is successful, the output unit 43 outputs and displays the recorded body temperature, time, date, etc., to notify the user that the recording of body temperature data in the optional transmission mode has been successful.

[0079] <Update period and cycle data> During the menstrual cycle, body temperature data is continuously measured in step S103 (NO in steps S104 and S108), and during each menstrual cycle, the start date of menstruation is registered in step S105, the menstrual schedule is updated in step S106, and output including a notification is performed in step S108.

[0080] When the menstrual cycle is repeated a predetermined number of times and basal body temperature data for a predetermined period (e.g., three months or three cycles) is accumulated (YES in step S108), the registration unit 41 updates the period / cycle data a to period / cycle data b based on the accumulated basal body temperature data.

[0081] Specifically, registration unit 41 calculates period / cycle data for multiple cycles, finds the average value per cycle, and determines period / cycle data by rounding up the decimal point of the average value. For example, if the average menstrual cycle calculated from data for three months or three cycles is 27.3 days, the data is rounded up to 28 days and the menstrual cycle is updated.

[0082] In step S110, when period / cycle data a (menstrual cycle a and menstrual period a) is updated to period / cycle data b (menstrual cycle b and menstrual period b), the prediction unit 42 updates the predicted menstrual schedule based on period / cycle data a in step S106 (step S111). Steps S103 to S109 are then repeated. After a predetermined period, such as one month or one cycle, has passed and basal body temperature data for a predetermined period (for example, the most recent three months or three cycles) has accumulated, period / cycle data b (menstrual cycle b and menstrual period b) can be updated to period / cycle data c (menstrual cycle c and menstrual period c) based on the basal body temperature data for this most recent predetermined period. Repeating this update (steps S103 to S109) allows for accurate ovulation prediction based on period / cycle data tailored to the user's circumstances.

[0083] In this embodiment, the menstrual cycle and menstrual period can be set for each user as period / cycle data, which is physiological information, but other periods / cycles may also be registered (updated) as period / cycle data. For example, the number of days in the high temperature period is set to a fixed value of 14 days in this embodiment, but the initial value may be set to 14 days, and the value may be updated based on the day when the amount of change in basal body temperature data meets a predetermined condition, the menstrual cycle, etc.

[0084] By repeating the above process, the system can continuously measure the user's basal body temperature and accurately predict ovulation based on the individual's period and cycle data. Furthermore, by using this system over the long term, detailed data useful for infertility treatment can be accumulated and used in collaboration with medical professionals. [Explanation of symbols]

[0085] 1: Infertility treatment support system 2: Wearable thermometer 3: User terminal 4: Cloud server 21: Measurement section 22: Transmission unit 31: Data transmission unit 32: Interface section 41: Registration Department 42: Prediction section 43: Output section 201: Processing section 202: Storage section 203: Communications Department 204: Temperature sensor 205: Input section 211: Sandwiching part 211A: First magnetic material 211B:Second magnetic material 211C: Rotating part 301: Processing section 302: Storage section 303: Communications Department 304: Input section 305: Display section 401: Processing section 402: Storage section 403: Communications Department L1: First exterior part L2: Second exterior part NW: Communication network SW: Switch W:Clothing W3: App screen

Claims

1. An infertility treatment support system comprising: a wearable thermometer that measures a user's body temperature; and an information processing device that can wirelessly communicate with the wearable thermometer, The wearable thermometer includes a measurement unit that measures body temperature data of the user; a transmitting unit that transmits the body temperature data to the information processing device, The information processing device includes a registration unit that determines period and cycle data related to the user's menstruation based on the series data of the body temperature data; a prediction unit that predicts ovulation based on the period / cycle data; and an output unit that outputs to the user based on the prediction result.

2. the information processing device stores default values ​​of the period / cycle data relating to regular menstrual cycles and irregular menstrual cycles; the registration unit determines the period / cycle data of the user based on the selection of the default value by the user; The system according to claim 1 , wherein when the series data for determining the period / cycle data is insufficient, the prediction unit performs the ovulation prediction based on the period / cycle data of the default value.

3. the information processing device stores default values ​​of the period / cycle data relating to regular menstrual periods and irregular menstrual periods; the registration unit determines the period / cycle data including the menstrual period based on the selection of the default value by the user; The system according to claim 2 , wherein the output unit outputs to the user based on the period / cycle data including the menstrual period.

4. 4. The system according to claim 2, wherein when the sequence data for a predetermined period is accumulated, the registration unit updates the determined period / cycle data to the newly determined period / cycle data for the user based on the sequence data for the predetermined period.

5. 5. The system according to claim 4, wherein the registration unit determines the period / cycle data by calculating an average value of the period / cycle data per cycle based on the series data relating to a plurality of menstrual cycles and rounding up any decimal places of the average value.

6. The system according to claim 1 , wherein the output unit outputs to the user, in addition to the output based on the prediction result, when the sequence data indicates a change amount that satisfies an output condition.

7. The system according to claim 1, wherein the transmitting unit, as part of the transmission process, compares the body temperature data measured by the measuring unit with the body temperature data to be transmitted, to determine whether the amount of change satisfies the transmission conditions, and transmits the body temperature data measured by the measuring unit based on the determination result.

8. The system described in claim 1, wherein the wearable thermometer transmits the body temperature data in a periodic transmission mode in which the measurement unit periodically measures the body temperature data and the transmission unit processes the transmission, and in an optional transmission mode in which the measurement unit measures the body temperature data in response to a request from the user and the transmission unit processes the transmission.

9. The system according to claim 1 , wherein the wearable thermometer or the information processing device determines basal body temperature data from the measured body temperature data based on the wake-up time of the user.

10. An infertility treatment support method executed by a wearable thermometer that measures a user's body temperature and an information processing device that can wirelessly communicate with the wearable thermometer, The wearable thermometer measures body temperature data of the user; transmitting the body temperature data to the information processing device; the information processing device determines period / cycle data related to the user's menstruation based on the series data of the body temperature data; ovulation prediction based on the period / cycle data; and outputting the result of the prediction to the user.

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