JP7098517B2 - Menstrual period estimation device and program - Google Patents

Description

The present invention relates to a menstrual day estimation device that estimates a first menstrual cycle determined by the number of days in a low temperature period and the number of days in a high temperature period, or a menstrual day determined by a second menstrual cycle.

Generally, as a means for estimating the ovulation day and the menstrual day of a woman, a method of estimating the ovulation day and the menstrual day by determining the number of days in the high temperature period and the low temperature period from the menstrual cycle and the basal body temperature is known. .. For women with stable menstrual cycles and high temperature days, the next menstrual period and ovulation day can be estimated using the menstrual period, the menstrual cycle and the number of days in the high temperature period. For example, as a simple method, by calculating the average value of the past several times for the menstrual cycle and the number of days in the high temperature period, the next menstrual day = last menstrual day + menstrual cycle (average value), the next ovulation day = final menstruation It can be estimated as days + menstrual cycle (average value) -the number of days in the high temperature period (average value). However, in young people and women who have given birth or are approaching menopause, the menstrual cycle may not be stable, and in that case, the estimation accuracy of the ovulation date and the menopausal date will decrease.

Here, the number of menstrual cycle days is unstable and the number of days in the high temperature period is unstable, based on whether or not the number of days in the menstrual cycle falls within the predetermined range and whether the number of days in the high temperature period falls within the predetermined range. It is classified into a specific type with stable days and one or more types other than the specific type, and if the classified type is a specific type, the number of days based on the number of days in the high temperature period is added to the last ovulation day. Patent Document 1 describes a technique for calculating the scheduled start date of menstruation and calculating the scheduled start date of menstruation based on the last start date of menstruation and the number of days of the menstrual cycle when the classified type is a type other than a specific type. It has been disclosed.

According to this technique, even if the menstrual cycle is not stable, the accuracy of predicting the menstrual day can be improved when the number of days in the high temperature period is stable.

Japanese Unexamined Patent Publication No. 2014-212977

By the way, it is thought that the menstrual cycle varies depending on how the follicles grow in the ovary. In that case, if the follicles grow differently in the left and right ovaries, the menstrual cycle also depends on the left ovary. And the case with the right ovary will be different from each other. Therefore, when the next menstrual day or ovulation day is estimated based on the average value calculated for all menstrual cycles and the number of days in the high temperature period, there is a problem that the menstrual day and ovulation day cannot be estimated with high accuracy. be.

The present invention has been made in view of the problems of the prior art as described above, and it is possible to estimate with high accuracy the menstrual day determined by one of two menstrual cycles having different cycles from each other. It is an object of the present invention to provide a menstrual period estimation device and a program capable of performing.

In order to achieve the above object, the present invention
It is a menstrual day estimation device that estimates the menstrual days determined by the first or second menstrual cycle, which are determined by the number of days in the low temperature period and the number of days in the high temperature period.
Data acquisition means for acquiring body temperature data and menstruation start date data indicating the menstruation start date in the current menstrual cycle,
An ovulation date calculation means for calculating ovulation date data indicating an ovulation date in the current menstrual cycle based on the body temperature data, and an ovulation date calculation means.
As a cycle determining means for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the number of days calculated from the menstrual start date data and the ovulation day data. ,
It has an estimation means for estimating the next menstrual day from the determined current menstrual cycle and the ovulation day data.

In the present invention configured as described above, when the body temperature data and the menstruation start date data indicating the menstruation start date in the current menstrual cycle are acquired by the data acquisition means, the body temperature data is obtained by the ovulation date calculation means. The ovulation date data indicating the ovulation date in the current physiological cycle is calculated based on the above, and the number of days calculated from the physiological start date data and the ovulation date data acquired by the data acquisition means in the cycle determination means is calculated. Whether the current physiological cycle is the first physiological cycle or the second physiological cycle is determined, and in the estimation means, the next physiological cycle and the ovulation date data determined by the cycle determination means are used for the next time. The menstrual day is estimated.

In this way, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next menstrual day is estimated from the ovulation day data based on the determined menstrual cycle. Therefore, it is possible to estimate with high accuracy the menstrual days that are determined by one of the two menstrual cycles whose cycles are different from each other.

Further, it has a regularity determination means for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle, and the cycle determination means determines by the regularity determination means. Based on the regularity and the current menstrual cycle, it is determined whether the next menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the estimation means is the current menstrual cycle and the current menstrual cycle. If the next menstrual cycle is estimated from the next menstrual cycle determined by the cycle determination means and the ovulation day data in the current menstrual cycle, the ovulation day is determined by one of the two menstrual cycles whose cycles are different from each other. Can be estimated with high accuracy.

Further, it is a menstrual day estimation device that estimates a menstrual day determined by a first menstrual cycle or a second menstrual cycle in which a fixed cycle is different from each other from the number of days in a low temperature period and the number of days in a high temperature period.
Data acquisition means for acquiring menstruation start date data indicating the menstruation start date in the current menstrual cycle,
A regularity determination means for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle,
A cycle determination means for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the previous menstrual cycle and the determined regularity.
It has an estimation means for estimating the next menstrual date from the determined menstrual cycle and the menstrual start date data.

In the present invention configured as described above, the data acquisition means acquires the menstruation start date data indicating the menstruation start date in the current menstrual cycle, and the regularity determination means is based on the past menstrual cycle. The regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle is determined, and the cycle determination means is currently based on the previous menstrual cycle and the regularity determined by the regularity determination means. It is determined whether the menstrual cycle of is the first menstrual cycle or the second menstrual cycle. After that, in the estimation means, the next menstrual date is estimated from the current menstrual cycle determined by the cycle determination means and the menstrual start date data acquired by the data acquisition means.

In this way, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next menstrual date is estimated from the menstrual start date data based on the determined menstrual cycle. Therefore, it is possible to estimate with high accuracy the menstrual days that are determined by one of the two menstrual cycles whose cycles are different from each other.

Further, if the estimation means estimates the ovulation date in the current menstrual cycle from the current menstrual cycle determined by the cycle determination means and the menstruation start date data acquired by the data acquisition means, the current menstruation Since the ovulation date in the current menstrual cycle is estimated from the menstrual start date data based on the cycle, the ovulation date determined by either of the two menstrual cycles having different cycles can be estimated with high accuracy.

According to the present invention, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next menstrual day is estimated from the ovulation day data based on the determined menstrual cycle. Therefore, it is possible to estimate with high accuracy the menstrual days that are determined by one of the two menstrual cycles whose cycles are different from each other.

Further, it has a regularity determination means for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle, and the cycle determination means determines by the regularity determination means. Based on the regularity and the current menstrual cycle, it is determined whether the next menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the estimation means is the current menstrual cycle and the current menstrual cycle. In the one that estimates the next ovulation date from the menstrual cycle determined by the cycle determination means and the ovulation date data in the current physiology cycle, the ovulation date is determined by one of the two physiological cycles whose cycles are different from each other. Can be estimated with high accuracy.

Further, it was determined by the regularity determination means for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle, and the previous menstrual cycle and the regularity determination means. A cycle determination means for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on regularity, and the start of menstruation indicating the start date of menstruation in the current menstrual cycle. An estimation means for estimating the next menstrual day from the data acquisition means for acquiring day data, the current menstrual cycle determined by the cycle determination means, and the menstruation start date data acquired by the data acquisition means. Even if you have one, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next menstrual date is estimated from the menstrual start date data based on the determined menstrual cycle. Therefore, it is possible to estimate with high accuracy the menstrual days that are determined by one of the two menstrual cycles whose cycles are different from each other.

Further, in the case where the estimation means estimates the ovulation date in the current menstrual cycle from the current menstrual cycle determined by the cycle determination means and the menstrual start date data acquired by the data acquisition means, the present The ovulation date in the current menstrual cycle is estimated from the menstrual start date data based on the menstrual cycle of, and the ovulation date determined by either of the two menstrual cycles whose cycles are different from each other can be estimated with high accuracy. can.

It is a figure which shows one embodiment of the body temperature data management system using the menstrual day estimation apparatus of this invention. It is a figure which shows the structure of the arithmetic part which the management server shown in FIG. 1 has. It is a figure which shows an example of the wearing state of the body temperature measuring device shown in FIG. It is a flowchart for demonstrating the measurement process in the body temperature measuring device shown in FIG. It is a figure for demonstrating an example of a menstrual cycle. It is a flowchart for demonstrating the process at the time of determining whether the newly acquired menstrual cycle in the management server shown in FIG. 1 and FIG. 2 is one of the menstrual cycles by two groups. It is a figure for demonstrating the process of estimating the next menstrual day from the ovulation day in the current menstrual cycle and the current menstrual cycle in a management server. It is a figure for demonstrating the process of estimating the next menstrual day from the ovulation day in the current menstrual cycle and the current menstrual cycle in a management server. It is a figure for demonstrating the process of estimating the next menstrual day from the ovulation day and the current menstrual cycle in the current menstrual cycle in the management server when the occurrence order of two menstrual cycles is regular. It is a figure for demonstrating the process of estimating the next menstrual day from the ovulation day and the current menstrual cycle in the current menstrual cycle in the management server when the occurrence order of two menstrual cycles is regular. It is a figure for demonstrating the process of estimating the next menstrual day and the ovulation day from the menstrual day in the current menstrual cycle and the current menstrual cycle in the management server when there is a regularity in the order of occurrence of two menstrual cycles. .. It is a figure for demonstrating the process of estimating the next menstrual day and the ovulation day from the menstrual day in the current menstrual cycle and the current menstrual cycle in the management server when there is a regularity in the order of occurrence of two menstrual cycles. .. It is a figure which shows the other embodiment of the body temperature data management system using the menstrual day estimation apparatus of this invention, (a) is the figure which shows the structure of the whole system, (b) is the arithmetic part shown in (a). It is a figure which shows the structure of.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a diagram showing an embodiment of a body temperature data management system using the physiological day estimation device of the present invention. FIG. 2 is a diagram showing a configuration of a calculation unit 30 included in the management server 50 shown in FIG.

As shown in FIG. 1, this embodiment is configured to include a body temperature measuring device 10, a user terminal 20, and a management server 50, and the management server 50 is the physiological day estimation device of the present invention.

The body temperature measuring device 10 is a device that is attached to clothing worn by the human body and measures the body temperature of the human body, and has a body temperature sensor 11, an external temperature sensor 12, a date and time timer 13, and an alarm lamp 14 inside the housing. It has a memory 15, a BLE communication unit 16, and a processing unit 17.

The body temperature sensor 11 is attached to the housing so as to be exposed from the surface thereof, and measures the temperature of the skin as the body temperature by coming into contact with the skin of a human body wearing clothing on which the body temperature measuring device 10 is attached.

The external temperature sensor 12 is attached to the housing so as to be exposed from the surface thereof, and measures the external temperature of the body temperature measuring device 10.

The date and time timer 13 is a timer for measuring the date and time.

The alarm lamp 14 blinks or lights up when the body temperature measuring device 10 is charged or insufficiently charged, or when the temperature is measured using the body temperature sensor 11 and the external temperature sensor 12.

The memory 15 stores the device ID unique to the body temperature measuring device 10, and also stores the body temperature data measured by the body temperature sensor 11 and the external temperature data measured by the external temperature sensor 12. Further, the memory 15 has the measurement of the body temperature data and the external temperature data by the body temperature sensor 11 and the external temperature sensor 12, the transmission time of the body temperature data and the external temperature data stored in the memory 15 to the user terminal 20, and the like. The condition is remembered.

The BLE communication unit 16 performs short-range wireless communication with the user terminal 20 in accordance with the BLE (Bluetooth (registered trademark) Low Energy) standard.

The processing unit 17 measures the body temperature with the body temperature sensor 11 at a time based on the measurement conditions stored in the memory 15, and also measures the external temperature of the body temperature measuring device 10 with the external temperature sensor 12. Further, the processing unit 17 stores the body temperature measured by the body temperature sensor 11 and the external temperature measured by the external temperature sensor 12 in the memory 15 as body temperature data and external temperature data, and stores them in the memory 15. The body temperature data and the external temperature data are transmitted to the user terminal 20 via the BLE communication unit 16 according to conditions such as the transmission time stored in the memory 15. Further, the processing unit 17 also controls the output of the warning in the alarm lamp 14.

The user terminal 20 is a mobile terminal that can be connected to a communication network 40 such as a smartphone, and includes a BLE communication unit 21, a net communication unit 22, an operation unit 23, a date / time timer 24, an alarm output unit 25, and the like. It has a memory 26, a display unit 27, and a data acquisition unit 28.

The BLE communication unit 21 performs short-range wireless communication with the body temperature measuring device 10 in accordance with the BLE standard.

The net communication unit 22 is configured to be connectable to the communication network 40, and communicates with the management server 50 via the communication network 40.

The operation unit 23 is composed of, for example, a touch panel or the like laminated on the display unit 27, and is for inputting information and selecting information displayed on the display unit 27.

The date and time timer 24 is a timer for measuring the date and time.

The alarm output unit 25 outputs a warning such as an error message according to the communication state with the body temperature measuring device 10 via the BLE communication unit 21.

The memory 26 stores the device ID of the body temperature measuring device 10 in addition to the terminal ID unique to the user terminal 20. The device ID of the body temperature measuring device 10 is acquired from the body temperature measuring device 10 and stored in the memory 26 when pairing with the user terminal 20 at the time of initial setting of the body temperature measuring device 10. Further, the memory 26 temporarily stores the body temperature data and the external temperature data acquired from the body temperature measuring device 10.

The display unit 27 displays the information stored in the memory 26 and the information received via the net communication unit 22.

The data acquisition unit 28 is configured as a part of a control unit that controls the overall operation of the user terminal 20. The data acquisition unit 28 acquires the body temperature data and the external temperature data transmitted from the body temperature measuring device 10 via the BLE communication unit 21 and temporarily stores them in the memory 26. Further, the data acquisition unit 28 acquires the menstruation start date data indicating the menstruation start date input via the operation unit 23, and temporarily stores it in the memory 26.

The management server 50 has a net communication unit 51, a date / time timer 52, a data acquisition unit 53, a calculation unit 30, a database 54, and a data provision unit 55.

The net communication unit 51 is configured to be connectable to the communication network 40, and communicates with the user terminal 20 via the communication network 40.

The date and time timer 52 is a timer for measuring the date and time.

The data acquisition unit 53 acquires body temperature data, external temperature data, and physiological start date data acquired by the data acquisition unit 28 of the user terminal 20 and temporarily stored in the memory 26 via the net communication unit 53. do.

When the body temperature data, the external temperature data, and the physiological start date data transmitted from the user terminal 20 are acquired by the data acquisition unit 53, the calculation unit 30 performs a predetermined calculation using the acquired data. , The provided data to be provided to the user of the user terminal 20 is generated and registered in the database 54.

In the database 54, in addition to attribute information such as the date of birth, height, and weight of the user of the service by this system, the information input by the user via the user terminal 20 at the time of initial setting is registered. Further, the terminal ID of the user terminal 20 is registered in the database 54 in association with the device ID of the body temperature measuring device 10 paired with the user terminal 20. Further, in the database 54, the body temperature data and the external temperature data acquired from the user terminal 20 by the data acquisition unit 53 and the provided data generated by the calculation unit 30 are registered.

The data providing unit 55 searches for the provided data registered in the database 54 in response to the login from the user terminal 20, and transmits the searched provided data to the user terminal 20 via the net communication unit 51.

As shown in FIG. 2, the calculation unit 30 of the management server 50 has an ovulation date calculation unit 31, a number of days calculation unit 32, a regularity determination unit 33, a cycle determination unit 34, and an estimation unit 35. ..

The ovulation day calculation unit 31 calculates ovulation day data indicating the ovulation day in the current menstrual cycle based on the body temperature data acquired from the user terminal 20 by the data acquisition unit 53.

The number of days calculation unit 32 is based on the physiological start date data input via the operation unit 23 of the user terminal 20 and acquired by the data acquisition unit 53, and the ovulation date data calculated by the ovulation date calculation unit 31. Calculate the number of days in the cold period in the current menstrual cycle.

The regularity determination unit 33 determines the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle having different cycles based on the past menstrual cycle.

The cycle determination unit 34 determines whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle from the number of days in the low temperature period calculated by the number of days calculation unit 32. Further, in the cycle determination unit 34, when the regularity is determined by the regularity determination unit 34, the current physiological cycle is the first physiological cycle and the first physiological cycle based on the regularity and the previous physiological cycle. It is determined which of the two menstrual cycles. Further, when the cycle determination unit 34 determines the current menstrual cycle and the regularity determination unit 34 determines the regularity, the next cycle determination unit 34 is based on the current menstrual cycle and regularity. It is determined whether the menstrual cycle is the first menstrual cycle or the second menstrual cycle.

The estimation unit 35 estimates the next menstrual day from the ovulation day data calculated by the ovulation day calculation unit 31 and the current menstrual cycle determined by the cycle determination unit 34, and stores it in the database 54. Further, the estimation unit 35 estimates the next ovulation date from the ovulation date data calculated by the ovulation date calculation unit 31 and the current and next physiological cycles determined by the cycle determination unit 34, and stores the next ovulation date in the database 54. Store. Further, the estimation unit 35 includes the menstrual start date data input via the operation unit 23 of the user terminal 20 and acquired by the data acquisition unit 53, and the current menstrual cycle determined by the cycle determination unit 34. From, the next menstrual day and the ovulation day in the current menstrual cycle are estimated and stored in the database 54.

The processing in the body temperature data management system configured as described above will be described below.

First, a method of wearing the body temperature measuring device 10 shown in FIG. 1 will be described.

FIG. 3 is a diagram showing an example of a wearing state of the body temperature measuring device 10 shown in FIG.

When using the service in the body temperature data management system shown in FIG. 1, the body temperature measuring device 10 is attached to the underwear 1 worn by the user 2 at bedtime of the user of the service, for example, as shown in FIG. .. At that time, it is conceivable that the body temperature measuring device 10 is attached to the underwear 1 by a clip or the like, but since the body temperature sensor 11 measures the skin temperature of the user 2, the body temperature sensor 11 is on the back side of the underwear 1. The body temperature measuring device 10 is attached to the underwear 1 so that the body is in contact with the skin of the user 2.

Next, the measurement process in the body temperature measuring device 10 shown in FIG. 1 will be described.

FIG. 4 is a flowchart for explaining the measurement process in the body temperature measuring device 10 shown in FIG.

In the body temperature measuring device 10 shown in FIG. 1, when the date and time measured by the date and time timer 13 is, for example, 2 hours before the measurement start time stored in the memory 15 (step 1), the processing unit 17 performs a second step. Measurements are performed using the body temperature sensor 11 and the external temperature sensor 12 at intervals of 1, for example, at intervals of 30 minutes (step 2). For example, when the measurement start time stored in the memory 15 is 10 pm, the measurement is started at 8 pm. As the measurement start time, a general bedtime is stored in the memory 15 in advance, but when the user initially sets the body temperature measuring device 10, the user can operate the terminal 20 to perform the measurement. By designating the bedtime and transmitting it to the body temperature measuring device 10, it is also conceivable to store the designated bedtime in the memory 15 as the measurement start time.

In the processing unit 17, it is confirmed whether or not the skin temperature measured by the body temperature sensor 11 is, for example, 34 ° C. or higher (step 3), and the skin temperature measured by the body temperature sensor 11 is 34 ° C. or higher. In that case, it is determined that the user is wearing the body temperature measuring device 10.

When the skin temperature measured by the body temperature sensor 11 is 34 ° C. or higher, that is, when it is determined that the user is wearing the body temperature measuring device 10, the processing unit 17 is more than the first interval. Measurements are made using the body temperature sensor 11 and the external temperature sensor 12 at short second intervals, for example, at 5 minute intervals (step 4). The temperature measured by the body temperature sensor 11 and the external temperature sensor 12 at the second interval is stored in the memory 15 together with the sequential measurement time.

After that, when the time stored in the memory 15, for example, 6 hours elapses from the measurement start time in step 4 (step 5), the measurement using the body temperature sensor 11 and the external temperature sensor 12 in the processing unit 17 ends. (Step 6). For example, if the measurement is performed from 10 pm, the measurement will be completed at 4 am the next day.

The body temperature measuring device 10 measures using the body temperature sensor 11 and the external temperature sensor 12, transmits the body temperature data and the external temperature data stored in the memory 15 to the user terminal 20, and the body temperature data and the external temperature data. In a period other than the timing of transmitting the device ID in order to transmit the device ID to the user terminal 20, the sleep state is set, whereby unnecessary consumption of the power supply (not shown) is avoided.

The body temperature data indicating the skin temperature and the external temperature data indicating the external temperature measured in this way are transmitted to the user terminal 20 via the BLE communication unit 16 according to the conditions stored in the memory 15.

When the body temperature data and the external temperature data transmitted from the body temperature measuring device 10 are received by the data acquisition unit 28 via the BLE communication unit 21 of the user terminal 20, the acquired body temperature data and the external temperature data are used. It is temporarily stored in the memory 26 of the personal terminal 20. As a result, the body temperature data and the external temperature data measured by the body temperature measuring device 10 are automatically acquired by the user terminal 20.

After that, in the user terminal 20, the body temperature data and the external temperature data temporarily stored in the memory 26 are read out, and the measurement time, the terminal ID of the user terminal 20, and the device ID of the body temperature measuring device 10 are combined with the net. It is transmitted via the communication unit 22.

As a result, when the user goes to bed, the body temperature measuring device 10 is attached to the underwear 1 and the user terminal 20 is attached to, for example, the BLE communication unit 16 of the body temperature measuring device 10 such as the bedside and the user terminal. By keeping it at a distance that allows communication with the BLE communication unit 21 of 20, when the user wakes up, the body temperature data measured by the body temperature measuring device 10 while sleeping and the external temperature data are sent to the user terminal 20. It means that the transmission of is completed.

The body temperature data and external temperature data transmitted from the user terminal 20 together with the measurement time, the terminal ID of the user terminal 20, and the device ID of the body temperature measurement device 10 are received by the management server 50 via the communication network 40. .. Then, the management server 50 estimates the menstrual day and the ovulation day.

Here, the menstrual cycle will be described.

FIG. 5 is a diagram for explaining an example of the menstrual cycle.

As mentioned above, the menstrual cycle may differ from each other depending on whether the menstruation is due to the left ovary or the right ovary. In that case, the menstrual cycle can be broadly classified into two groups.

For example, in the one shown in FIG. 5, the odd-numbered menstrual cycle and the even-numbered menstrual cycle are significantly different from each other. Therefore, the standard deviation of the physiological cycle including all odd and even times is 3.11, while the standard deviation of the physiological cycle of only odd times is 0.82, and the standard deviation of only even times is 0.82. The standard deviation of is also 0.82. Also, regarding the number of days in the high temperature period, the standard deviation of the number of days in the high temperature period including all odd and even times is 1.71, while the standard deviation of the number of days in the high temperature period of only odd times is 0.82. The standard deviation of the number of days in the high temperature period, which is only an even number of times, is 0.82. At this time, if the standard deviation of the menstrual cycle is 2.9 or less, it is stable, and if the standard deviation is 1.6 or less, the number of days in the high temperature period is stable. Although the menstrual cycle including all of the above and the number of days in the high temperature period are not stable, the menstrual cycle of only odd-numbered times or even-numbered times and the number of days in the high-temperature period are stable. In addition, since the average value of the menstrual cycle including all odd and even times is 26 days, for example, there is a difference of 4 days from the 22 days of the first menstrual cycle, and 1 In the second menstrual cycle, if the next menstrual day or ovulation day is estimated using this average value, a large error will occur. On the other hand, the average value of the odd-numbered menstrual cycle is 23 days, and the difference from the odd-numbered first menstrual cycle of 22 days is only one day, and the odd-numbered average of the first menstrual cycle is only one day. When the next menstrual day or ovulation day is estimated using the values, there is not much error.

In this way, even if the menstrual cycle varies greatly as a whole, when the menstrual cycle is divided into two groups, the variation in the menstrual cycle becomes smaller within each group, so the current menstrual cycle is 2. By determining which of the two groups the menstrual cycle belongs to and estimating the menstrual day and ovulation day based on that menstrual cycle, it is possible to estimate the menstrual day and ovulation day with high accuracy. Become.

The processing in the management server 50 shown in FIGS. 1 and 2 will be described below.

First, when one menstrual cycle is newly acquired, a process for determining whether the acquired menstrual cycle is one of the two groups will be described. In the following description, for the sake of clarity, the two groups are referred to as a first group having a first menstrual cycle and a second group having a second menstrual cycle.

FIG. 6 is a flowchart for explaining a process for determining whether the newly acquired menstrual cycle in the management server 50 shown in FIGS. 1 and 2 is one of the two groups. be. Using the menstrual cycle data including the menstrual cycle calculated from the skin temperature and the external temperature acquired by the data acquisition unit 28 from the body temperature measuring device 10, and the information such as the menstrual start date input via the operation unit 23. When the menstrual cycle data including the menstrual cycle calculated in the above is acquired by the cycle determination unit 34 (step 11), first, in the cycle determination unit 34, the menstrual cycle by the first and second groups set in the past. The average value of is referred to, and the deviation between the physiological cycle included in the acquired physiological cycle data and the average value of the physiological cycles in the first and second groups is calculated, respectively. It should be noted that the first group and the second group are tentatively classified in advance according to whether the number of days is long or short with respect to a predetermined number of days when the menstrual cycle is first acquired. It is possible to set it.

Then, when there is a menstrual cycle having an average value in which the deviation from the acquired menstrual cycle data is, for example, 2.9 days or less among the first and second groups (step 12), for example. If the deviation between the mean value of the menstrual cycle in the first group and the menstrual cycle included in the acquired menstrual cycle data is 2.9 days or less, then the cycle determination unit 34 determines the menstruation of the first group. The average value of the number of days in the high temperature period in the cycle is referred to, and the deviation between the number of days in the high temperature period included in the acquired menstrual cycle data and the average value of the number of days in the high temperature period in the first group of menstrual cycles is calculated.

When the deviation between the average number of days in the high temperature period in the first group menstrual cycle and the number of days in the high temperature period included in the acquired menstrual cycle data is, for example, 1.6 days or less (step 13), then , The cycle determination unit 34 determines whether the difference between the physiological cycle included in the acquired physiological cycle data and the physiological cycle in the second group is, for example, 6 days or more (step 14).

Then, when the difference between the physiological cycle included in the acquired physiological cycle data and the physiological cycle in the second group is, for example, 6 days or more, the acquired physiological cycle data is classified into the first group (step 15). ).

After that, for the first group in which the acquired menstrual cycle data is classified, the average value of the physiological cycle and the number of days in the high temperature period including the acquired physiological cycle data is calculated, and the physiological cycle and the high temperature period of the first group are calculated. The average number of days is updated (step 16).

Further, in step 12, when there is no group of menstrual cycles having an average value of 2.9 days or less in deviation from the acquired menstrual cycle among the first and second groups, or in step 13, in step 13. When the deviation between the average number of days in the high temperature period in the first group of menstrual cycles and the number of days in the high temperature period included in the acquired menstrual cycle data is not 1.6 days or less, or it was acquired in step 14. If the difference between the menstrual cycle included in the menstrual cycle data and the menstrual cycle in the second group is not 6 days or more, the acquired menstrual cycle data is not classified into either the first group or the second group.

In this embodiment, by calculating the deviations regarding the menstrual cycle and the number of days in the high temperature period, it is determined whether the menstrual cycle based on the acquired menstrual cycle data is the menstrual cycle in the first or second group. However, the reason why the deviation about the number of days in the high temperature period is used is that the number of days in the high temperature period generally has a smaller variation than the number of days in the low temperature period. I do not care.

Next, the process of estimating the menstrual day and the ovulation day on the management server 50 will be described.

First, the process of estimating the next menstrual day from the ovulation day in the current menstrual cycle and the current menstrual cycle will be described.

7 and 8 are diagrams for explaining the process of estimating the next menstrual day from the ovulation day and the current menstrual cycle in the current menstrual cycle in the management server 50.

As shown in FIG. 8, by the series of treatments shown in FIG. 6, the average value of the physiological cycle is 23 days, the average value of the number of days in the low temperature period is 11 days, and the average value of the number of days in the high temperature period is 12 days. The database 54 stores one physiological cycle and a second physiological cycle in which the average value of the physiological cycle is 29 days, the average value of the number of days in the low temperature period is 14 days, and the average value of the number of days in the high temperature period is 15 days. It is assumed that it is.

In the management server 50, when the body temperature data measured by the body temperature measuring device 10 and the physiological start date data input via the operation unit 23 of the user terminal 20 are acquired by the data acquisition unit 53 ( Step 21) First, in the ovulation date calculation unit 31, for example, the timing at which the body temperature suddenly rises is determined based on the body temperature data acquired from the body temperature measuring device 10 by the data acquisition unit 53 via the user terminal 20. Upon detection, ovulation date data indicating the ovulation date in the current physiological cycle is calculated (step 22).

Next, in the number of days calculation unit 32, the number of days in the low temperature period in the current physiological cycle is calculated from the physiological start date data acquired by the data acquisition unit 53 and the ovulation date data calculated by the ovulation date calculation unit 31. Is done (step 23).

Next, the cycle determination unit 34 determines whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle from the number of days in the low temperature period calculated by the number of days calculation unit 32. (Step 24). When the number of days in the low temperature period calculated by the number of days calculation unit 32 is 10 days as shown in FIG. 8, in the cycle determination unit 34, the current menstruation of the first menstrual cycle and the second menstrual cycle. It is determined that the cycle is the first menstrual cycle. This judgment is based on the current period in which the deviation between the average value of the number of days in the low temperature period and the number of days in the low temperature period calculated by the number of days calculation unit 32 is equal to or less than the predetermined number of days in the first and second menstrual cycles. It is conceivable to judge that it is the physiological cycle of.

After that, the estimation unit 35 estimates the next menstrual day from the ovulation day data calculated by the ovulation day calculation unit 31 and the current menstrual cycle determined by the cycle determination unit 34 (step 25). In the example shown in FIG. 8, since the current menstrual cycle is determined to be the first menstrual cycle, the next menstruation is 22 days after the start date of menstruation input via the operation unit 23 and 12 days after the day of ovulation. It will be estimated to be a day.

The menstrual period estimated by the estimation unit 35 is then stored in the database 54, transmitted to the user terminal 20 via the communication network 40, and displayed on the display unit 27, whereby the user can receive the user. You can recognize the next menstrual day.

In this way, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next menstrual day is estimated from the ovulation day data based on the determined menstrual cycle. Therefore, it is possible to estimate with high accuracy the menstrual days that are determined by one of the two menstrual cycles whose cycles are different from each other.

Next, when there is a regularity in the order of occurrence of the first menstrual cycle and the second menstrual cycle, the process of estimating the next ovulation day from the ovulation date in the current menstrual cycle and the current and next menstrual cycles. Will be explained.

9 and 10 illustrate the process of estimating the next menstrual day from the ovulation day and the current menstrual cycle in the current menstrual cycle on the management server 50 when the order of occurrence of the two menstrual cycles is regular. It is a figure for.

As shown in FIG. 10, by the series of treatments shown in FIG. 6, the average value of the physiological cycle is 23 days, the average value of the number of days in the low temperature period is 11 days, and the average value of the number of days in the high temperature period is 12 days. The database 54 stores one physiological cycle and a second physiological cycle in which the average value of the physiological cycle is 29 days, the average value of the number of days in the low temperature period is 14 days, and the average value of the number of days in the high temperature period is 15 days. It is assumed that it is.

In the management server 50, when the body temperature data measured by the body temperature measuring device 10 and the physiological start date data input via the operation unit 23 of the user terminal 20 are acquired by the data acquisition unit 53 ( Step 31) First, in the ovulation date calculation unit 31, ovulation indicating the ovulation date in the current physiological cycle based on the body temperature data acquired from the body temperature measuring device 10 by the data acquisition unit 53 via the user terminal 20. Day data is calculated (step 32).

Next, in the number of days calculation unit 32, the number of days in the low temperature period in the current physiological cycle is calculated from the physiological start date data acquired by the data acquisition unit 53 and the ovulation date data calculated by the ovulation date calculation unit 31. Is done (step 33).

Next, the cycle determination unit 34 determines whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle from the number of days in the low temperature period calculated by the number of days calculation unit 32. (Step 34). When the number of days in the low temperature period calculated by the number of days calculation unit 32 is 10 days as shown in FIG. 10, in the cycle determination unit 34, the current menstruation of the first menstrual cycle and the second menstrual cycle. It is determined that the cycle is the first menstrual cycle.

Further, the regularity determination unit 33 determines whether or not there is regularity in the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle stored in the database 54 (the regularity determination unit 33). Step 35). The database 54 stores the past menstrual cycles classified into the first menstrual cycle and the second menstrual cycle by the process shown in FIG. 6 in time series, and the regularity determination unit 33 stores them. By referring to, it is determined whether or not there is a regularity in the order of occurrence of the first menstrual cycle and the second menstrual cycle.

If there is a regularity in the order of occurrence of the first menstrual cycle and the second menstrual cycle, the cycle determination unit 34 determines that the next menstrual cycle is the first based on the regularity and the current menstrual cycle. It is determined whether it is a menstrual cycle or a second menstrual cycle (step 36). For example, when the first menstrual cycle and the second menstrual cycle have a regularity in which they occur alternately, in the example shown in FIG. 10, since the current menstrual cycle is the first menstrual cycle, The next menstrual cycle will be determined to be the second menstrual cycle.

After that, the estimation unit 35 estimates the next ovulation date from the ovulation day data calculated by the ovulation date calculation unit 31 and the current and next physiological cycles determined by the cycle determination unit 34 (step 37). ). In the example shown in FIG. 10, since the current menstrual cycle is determined to be the first menstrual cycle and the next menstrual cycle is determined to be the second menstrual cycle, the start of menstruation input via the operation unit 23. It is estimated that 36 days after the day and 26 days after the ovulation day in the current menstrual cycle is the next ovulation day.

The ovulation date estimated by the estimation unit 35 is then stored in the database, transmitted to the user terminal 20 via the communication network 40, and displayed on the display unit 27, whereby the user can use the next time. Can recognize the day of ovulation.

In this way, it is determined whether the current and next menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next ovulation day is estimated from the ovulation day data based on the determined menstrual cycle. Therefore, it is possible to estimate the ovulation date determined by one of the two menstrual cycles having different cycles with high accuracy.

Next, when there is a regularity in the order of occurrence of the first menstrual cycle and the second menstrual cycle, the next menstrual day and ovulation day are estimated from the current menstrual cycle and the current menstrual cycle. The processing will be described.

11 and 12 show the process of estimating the next menstrual day and the ovulation day from the current menstrual cycle and the current menstrual cycle on the management server 50 when the order of occurrence of the two menstrual cycles is regular. It is a figure for demonstrating.

As shown in FIG. 12, by the series of treatments shown in FIG. 6, the average value of the physiological cycle is 23 days, the average value of the number of days in the low temperature period is 11 days, and the average value of the number of days in the high temperature period is 12 days. The database 54 stores one physiological cycle and a second physiological cycle in which the average value of the physiological cycle is 29 days, the average value of the number of days in the low temperature period is 14 days, and the average value of the number of days in the high temperature period is 15 days. It is assumed that it is.

In the management server 50, when the menstrual period start date data input via the operation unit 23 of the user terminal 20 is acquired by the data acquisition unit 53 (step 41), first, the previous time stored in the database 54 is performed. Based on the menstrual cycle and the regularity determined by the regularity determination unit 33, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle (step 42). ). For example, if there is a regularity in which the first menstrual cycle and the second menstrual cycle occur alternately and the previous menstrual cycle is the second menstrual cycle, as shown in FIG. 12, the present Will be determined to be the first menstrual cycle. The regularity determination by the regularity determination unit 33 is performed in the same manner as the process described with reference to FIG.

After that, in the estimation unit 35, the current ovulation date is the next ovulation day from the menstruation start date data input via the operation unit 23 of the user terminal 20 and the current menstrual cycle determined by the cycle determination unit 34. The ovulation day in the menstrual cycle and the next menstrual day are estimated (step 43). In the example shown in FIG. 12, since the current menstrual cycle is determined to be the first menstrual cycle, the next ovulation day is 11 days after the menstrual start date input via the operation unit 23 of the user terminal 20. It is estimated that 23 days later will be the next menstrual day.

The menstrual period and ovulation date estimated by the estimation unit 35 are then stored in the database 54, transmitted to the user terminal 20 via the communication network 40, and displayed on the display unit 27, thereby being used. One can recognize the next menstrual day and ovulation day.

In this way, it is determined whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle, and the next ovulation day or menstrual day is determined from the menstrual start date data based on the determined menstrual cycle. Therefore, it is possible to estimate with high accuracy the ovulation day and the menstrual day, which are determined by one of the two menstrual cycles whose cycles are different from each other.

In the above-described embodiment, only the next menstrual day or ovulation day estimated based on the current or next menstrual cycle among the first and second menstrual cycles is used. The configuration in which the display unit 27 of the user terminal 20 is displayed has been described as an example, but menstruation is based on a menstrual cycle that is not determined to be the current or next menstrual cycle among the first and second menstrual cycles. Estimating the day and ovulation day, the menstrual day and ovulation date estimated based on these current and next menstrual cycles, and the menstruation that was not judged to be the current and next menstrual cycle It may be displayed separately from the menstrual period and the ovulation date estimated based on the cycle. In that case, the menstrual days and ovulation days estimated based on the menstrual cycle determined to be the current or next menstrual cycle are estimated based on the menstrual cycle not determined to be the current or next menstrual cycle. If it is displayed as having a higher priority than the menstrual period or the ovulation day, the user can recognize which of the estimated menstrual days and the ovulation day is more likely.

In addition, when the ovulation day in the current menstrual cycle cannot be specified or the regularity of the menstrual cycle cannot be determined, the next menstrual day or ovulation day based on the first menstrual cycle and the menstrual period based on the second menstrual cycle. The day and the ovulation day may be estimated and displayed side by side on the display unit 27 of the user terminal 20.

Further, the above-mentioned series of processes performed by the management server 50 of the present invention may be applied to a program for causing a computer to execute. Further, the program can be stored in a storage medium and can be provided to the outside via a network.

(Other embodiments)
FIG. 13 is a diagram showing another embodiment of the body temperature data management system using the physiological day estimation device of the present invention, (a) is a diagram showing the configuration of the entire system, and (b) is (a). It is a figure which shows the structure of the shown arithmetic unit 30.

As shown in FIG. 13, this embodiment differs from the one shown in FIGS. 1 and 2 in that the physiological day estimation device of the present invention is configured by the user terminal 120.

The user terminal 120 in the present embodiment does not have the net communication unit 22 with respect to the user terminal 20 shown in FIG. 1, and also has the calculation unit 30 of the management server 50 shown in FIG. .. The calculation unit 30 has the configuration shown in FIG. 2 and performs the same processing as described above. However, in the case of the present embodiment, the calculation unit 30 has the data acquired by the data acquisition unit 28. By performing a predetermined operation using the above, the provided data to be provided to the user of the user terminal 20 is generated.

The physiological day estimation device of the present invention will be realized by the management server 50 and the user terminal 120 described above, but the thermometer is not limited to the body temperature data measured by the body temperature measuring device 10. The oral temperature or the like measured by the above may be acquired, and the physiological day or the ovulation day may be estimated using the acquired oral temperature or the like.

1 Underwear 2 User 10 Body temperature measurement device 11 Body temperature sensor 12 External temperature sensor 13, 24, 52 Date and time timer 14 Alarm lamp 15, 26 Memory 16, 21 BLE communication unit 17 Processing unit 20, 120 User terminal 22, 51 Net communication Part 23 Operation part 25 Alarm output part 27 Display part 28,53 Data acquisition part 30 Calculation part 31 Egg ovulation day calculation part 32 Days calculation part 33 Regularity judgment part 34 Period judgment part 35 Estimating part 54 Database 55 Data provision part

Claims (6)

It is a menstrual day estimation device that estimates the menstrual days determined by the first or second menstrual cycle, which are determined by the number of days in the low temperature period and the number of days in the high temperature period.
Data acquisition means for acquiring body temperature data and menstruation start date data indicating the menstruation start date in the current menstrual cycle,
An ovulation date calculation means for calculating ovulation date data indicating an ovulation date in the current menstrual cycle based on the body temperature data, and an ovulation date calculation means.
As a cycle determining means for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the number of days calculated from the menstrual start date data and the ovulation day data. ,
A menstrual day estimation device having an estimation means for estimating the next menstrual day from the determined current menstrual cycle and the ovulation day data. In the menstrual period estimation device according to claim 1,
It has a regularity determination means for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle.
The cycle determination means determines whether the next menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the current menstrual cycle and the determined regularity.
The estimation means is a menstrual day estimation device that estimates the next ovulation day from the current menstrual cycle, the next determined next menstrual cycle, and the ovulation day data in the current menstrual cycle. It is a menstrual day estimation device that estimates the menstrual days determined by the first or second menstrual cycle, which are determined by the number of days in the low temperature period and the number of days in the high temperature period.
Data acquisition means for acquiring menstruation start date data indicating the menstruation start date in the current menstrual cycle,
A regularity determination means for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle,
A cycle determination means for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the previous menstrual cycle and the determined regularity.
A menstrual day estimation device having an estimation means for estimating the next menstrual day from the determined menstrual cycle and the menstrual start date data. In the menstrual period estimation device according to claim 3,
The estimation means is a menstrual day estimation device that estimates the ovulation date in the current menstrual cycle from the determined current menstrual cycle and the menstrual start date data. A computer that estimates the menstrual days determined by the first or second menstrual cycle, which are determined by the number of days in the low temperature period and the number of days in the high temperature period, and whose cycles are different from each other.
A data acquisition procedure for acquiring menstruation start date data indicating the menstruation start date and ovulation date data indicating the ovulation date, and
A cycle determination procedure for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the number of days calculated from the menstruation start date data and the ovulation day data. ,
A program for executing an estimation procedure for estimating the next menstrual day from the determined current menstrual cycle and the ovulation day data. A computer that estimates the menstrual days determined by the first or second menstrual cycle, which are determined by the number of days in the low temperature period and the number of days in the high temperature period, and whose cycles are different from each other.
A regularity determination procedure for determining the regularity of the order of occurrence of the first menstrual cycle and the second menstrual cycle based on the past menstrual cycle, and
A cycle determination procedure for determining whether the current menstrual cycle is the first menstrual cycle or the second menstrual cycle based on the previous menstrual cycle and the determined regularity.
Data acquisition procedure to acquire menstruation start date data indicating the menstruation start date in the current menstrual cycle,
A program for executing an estimation procedure for estimating the next menstrual date from the determined menstrual cycle and the menstrual start date data.

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