JP7146624B2 - Basal body temperature information processing device and basal body temperature information processing method - Google Patents

Description

The present invention relates to a basal body temperature information processing apparatus and a basal body temperature information processing method for calculating an average value of basal body temperature data.

In general, it is well known that fertility is closely related to changes in basal body temperature caused by changes in female hormone balance. As a device for measuring basal body temperature, the body surface temperature of the subject is measured from the start time to the end time, and the subject's body temperature is estimated using this time-series body surface temperature data group. A wearable temperature measuring device is known that determines whether the subject is in a low temperature period or a high temperature period based on the estimated value of the body temperature. ing.

In the wearable temperature measuring device disclosed in Patent Document 1, the average value obtained by averaging the estimated values of body temperature from the 4th day to the 11th day counted from the start date of menstruation is used as the reference temperature in the low temperature period, and the low temperature As a temperature higher than the reference temperature of the high temperature period, a temperature obtained by adding a predetermined temperature difference that can capture the rise from the low temperature period to the high temperature period to the reference temperature of the high temperature period is set as the reference temperature of the high temperature period. The estimated body temperature stored in the memory is compared with the reference temperature for the high temperature period, and if the estimated body temperature is lower than the reference temperature for the high temperature period after the start of menstruation, the subject is judged to be in the low temperature period. , when the estimated value of the body temperature rises above the reference temperature in the high temperature period, it is determined that the person to be measured has shifted from the low temperature period to the high temperature period.

Thus, by using the average value of the measured basal body temperature, it is possible to recognize the low temperature period and the high temperature period.

Japanese Patent No. 4933227

In general, drinking alcohol and taking medicine often affect changes in body temperature. Therefore, as described above, if an event that affects body temperature changes, such as taking medication or drinking alcohol, occurs during the measurement period of basal body temperature, the average value used as the reference temperature for judging the low temperature period and the high temperature period There is a problem that it is not due to the normal body temperature of the measurer, and it becomes difficult to distinguish between the low temperature period and the high temperature period.

The present invention has been made in view of the problems of the conventional techniques as described above. Another object of the present invention is to provide a basal body temperature information processing apparatus and a basal body temperature information processing method capable of calculating the average value of the body temperature of a person to be measured in a normal state in a low temperature period and a high temperature period.

In order to achieve the above object, the present invention
A basal body temperature information processing device that calculates an average value of basal body temperature data in a low temperature period or a high temperature period in a menstrual cycle,
Data acquisition means for acquiring basal body temperature data for multiple days in the low temperature period or the high temperature period;
Abnormal data detection means for detecting abnormal data having a predetermined bias with respect to the basal body temperature data up to the previous day among the obtained basal body temperature data for the plurality of days;
inquiry means for inquiring whether an event has occurred on the measurement date of the abnormal data when the abnormal data is detected by the abnormal data detection means;
When the fact that an event has occurred is specified in response to the inquiry by the inquiry means , the average value of the basal body temperature data in the low temperature period or the high temperature period is calculated by excluding the abnormal data , and in the inquiry means average value calculation means for calculating an average value of the basal body temperature data in the low temperature period or the high temperature period without excluding the abnormal data when the fact that an event has occurred is not specified in response to the inquiry .

In the present invention configured as described above, after the data acquisition means acquires the basal body temperature data for a plurality of days in the low temperature period or the high temperature period, the abnormal data detection means detects the acquired basal body temperature data for the plurality of days. When abnormal data having a predetermined deviation from the basal body temperature data up to the day before is detected, the inquiry means inquires whether to exclude the abnormal data. When the exclusion of abnormal data is specified, the average value calculation means calculates the average value of the basal body temperature data in the low temperature period or the high temperature period while excluding the abnormal data.

In this way, when an event that affects body temperature, such as taking medication or drinking alcohol, occurs in the basal body temperature data for multiple days, the basal body temperature data up to the previous day has a predetermined bias. is detected, it is queried whether the abnormal data is due to such an event and should be excluded; Since the average value of the basal body temperature data in the low and high periods is calculated by excluding the abnormal data, if an event that affects the body temperature such as taking medicine or drinking alcohol occurs during the measurement period of the basal body temperature , it is also possible to calculate the average body temperature of the person to be measured in the normal state during the low temperature period and the high temperature period.

Further, when the data acquisition means acquires two pieces of menstruation start date data respectively indicating two successive menstruation start dates, the number of days estimating means calculates based on the basal body temperature data acquired within the two menstruation start dates. , If the number of days of the low temperature period and the number of days of the high temperature period in the two menstruation start days are estimated, in the next menstrual cycle, the obtained basal body temperature data and the estimated number of days of the low temperature period and the high temperature period are used. It is possible to estimate the next menstruation date and ovulation date.

Further, when abnormal data is detected at the timing of transition from the low temperature period to the high temperature period, the number of days estimating means detects that the detected abnormal data is higher than the average value of the basal body temperature data in the high temperature period. If it is close to the average value, the day on which the abnormal data was detected is added to the number of days in the low temperature period, and the detected abnormal data is the average of the basal body temperature data in the high temperature period than the average value of the basal body temperature data in the low temperature period. If the value is close to the value, if the day when the abnormal data was detected is added to the number of days of the high temperature period, even if the basal body temperature data is measured during the unstable period when the low temperature period changes to the high temperature period, the low temperature period The next menstruation day and the ovulation day can be estimated from the number of days of the period and the number of days of the high temperature period.

According to the present invention, when an event that affects body temperature changes, such as taking medicine or drinking alcohol, occurs in basal body temperature data for multiple days, the basal body temperature data up to the previous day is provided with a predetermined bias. When anomalous data is detected that is suspected to have resulted in a Since the average value of the basal body temperature data in the low temperature period and the high temperature period is calculated by excluding the abnormal data by means, an event that affects the change in body temperature such as taking medicine or drinking alcohol occurs during the measurement period of basal body temperature In this case, it is also possible to calculate the average body temperature of the person to be measured in the normal state during the low temperature period and the high temperature period.

Further, when the data acquisition means acquires two menstruation start date data respectively indicating two consecutive menstruation start dates, the two menstruation start dates are obtained based on the basal body temperature data acquired within the two menstruation start dates. In those having a number of days estimating means for estimating the number of days in the low temperature period and the number of days in the high temperature period in the next menstrual cycle, the obtained basal body temperature data and the estimated number of days in the low temperature period and high temperature period are used It is possible to estimate the next menstruation date and ovulation date.

Further, when the number of days estimating means detects abnormal data at the timing of transition from the low temperature period to the high temperature period, the detected abnormal data is higher than the average value of the basal body temperature data in the high temperature period. If it is close to the average value, the day on which the abnormal data was detected is added to the number of days in the low temperature period, and the detected abnormal data is closer to the average value of the basal body temperature data in the high temperature period than the average value of the basal body temperature data in the low temperature period. If it is close, the day on which the abnormal data was detected is added to the number of days in the high temperature period. The next menstruation day and ovulation day can be estimated from the number of days and the number of days of the high temperature period.

It is a diagram showing an embodiment of a body temperature data management system using the basal body temperature information processing apparatus of the present invention. FIG. 2 is a diagram showing the configuration of a calculation unit included in the management server shown in FIG. 1; FIG. 2 is a diagram showing an example of a wearing state of the body temperature measurement device shown in FIG. 1; 4 is a flowchart for explaining a process of calculating an average value of basal body temperature data using data measured by a body temperature measuring device; FIG. 4 is a diagram showing changes in body temperature in a typical menstrual cycle; It is a flowchart for demonstrating the estimation process of the number of days of the low temperature period and the high temperature period in a management server. It is a figure which shows the example which abnormal data generate|occur|produced in the timing which transfers to a high temperature period from a low temperature period. It is a flowchart for demonstrating a process when abnormal data are detected in the timing which transfers to a high temperature period from a low temperature period. FIG. 10 is a diagram showing another embodiment of a body temperature data management system using the basal body temperature information processing device of the present invention;

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing an embodiment of a body temperature data management system using a basal body temperature information processing device of the present invention. FIG. 2 is a diagram showing the configuration of the computing unit 30 included in the management server 50 shown in FIG. 1. As shown in FIG.

As shown in FIG. 1, this embodiment comprises a body temperature measuring device 10, a user terminal 20, and a management server 50. FIG.

A body temperature measurement device 10 is attached to clothing worn by the human body and measures the body temperature of the human body. , 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 the human body wearing the clothes on which the body temperature measurement 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 measurement device 10 .

The date and time timer 13 is a timer that measures the date and time.

The alarm lamp 14 blinks or lights up when the body temperature measurement 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 a device ID unique to the body temperature measuring device 10, and stores body temperature data as basal body temperature data measured by the body temperature sensor 11 and external temperature data measured by the external temperature sensor 12. remembered. Further, the memory 15 stores information such as measurement of body temperature data and external temperature data by the body temperature sensor 11 and the external temperature sensor 12, transmission time of the body temperature data and external temperature data stored in the memory 15 to the user terminal 20, and the like. conditions are stored.

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

Processing unit 17 measures the body temperature with body temperature sensor 11 and measures the external temperature of body temperature measurement device 10 with external temperature sensor 12 at the time based on the measurement conditions stored in memory 15 . In addition, the processing unit 17 causes the memory 15 to store the body temperature measured by the body temperature sensor 11 and the external temperature measured by the external temperature sensor 12 as body temperature data and external temperature data, and stores the data stored in the memory 15 as body temperature data and external temperature data. Body temperature data and 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 . Furthermore, the processing unit 17 also controls the output of warnings from the alarm lamp 14 .

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

The BLE communication unit 21 performs short-range wireless communication with the body temperature measurement device 10 according to the BLE standard.

The network 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 laminated on the display unit 27 , and is used to input information and select information displayed on the display unit 27 .

The date and time timer 24 is a timer that measures the date and time.

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

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 measurement device 10 is acquired from the body temperature measurement device 10 and stored in the memory 26 when the body temperature measurement device 10 is paired with the user terminal 20 at the time of initial setting. In addition, the memory 26 temporarily stores body temperature data and external temperature data acquired from the body temperature measurement device 10 .

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

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

The management server 50 serves as the basal body temperature information processing device of the present invention. The management server 50 has a network communication section 51 , a date/time timer 52 , a data acquisition section 53 , a calculation section 30 , a database 54 and a data provision section 55 .

The network 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 that measures the date and time.

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

When the data acquisition unit 53 acquires body temperature data, external temperature data, and menstruation start date data transmitted from the user terminal 20, the computation unit 30 performs predetermined computation using the acquired data. , to generate provided data to be provided to the user of the user terminal 20 and register it in the database 54 .

In the database 54, information entered by the user through the user terminal 20 at the time of initial setting is registered in addition to attribute information such as the date of birth, height, and weight of the user of the service provided by this system. In addition, 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 this user terminal 20 . Furthermore, body temperature data and external temperature data acquired from the user terminal 20 by the data acquisition unit 53 and provided data generated by the calculation unit 30 are registered in the database 54 .

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

As shown in FIG. 2, the calculation unit 30 of the management server 50 includes a data exclusion unit 31, an abnormal data detection unit 32, an event inquiry unit 33, an average value calculation unit 34, and a number of days estimation unit 35. there is

The data exclusion unit 31 excludes data that does not satisfy a predetermined condition from the body temperature data and the external temperature data acquired from the user terminal 20 by the data acquisition unit 53, and responds to an inquiry from the event inquiry unit 33. Exclude abnormal data for which event occurrence is specified by

The abnormal data detection unit 32 detects, from among the body temperature data acquired from the user terminal 20 by the data acquisition unit 53, abnormal data that is determined to have a predetermined bias with respect to the body temperature data before the measurement date of the body temperature data. To detect.

When the abnormal data detection unit 33 detects abnormal data, the event inquiry unit 33 inquires through the user terminal 20 whether an event such as drinking or taking medicine has occurred on the measurement date of the abnormal data.

The average value calculation unit 34 calculates the average value of the basal body temperature data in the low temperature period and the high temperature period using the body temperature data from which the abnormal data has been excluded by the data exclusion unit 31 . It is also conceivable that the average value calculation unit 34 has a function of excluding abnormal data for which event occurrence is specified in response to an inquiry from the event inquiry unit 33 in the data exclusion unit 31 . That is, the average value calculation means of the present invention is composed of the function of the data exclusion unit 31 that excludes abnormal data for which event occurrence is specified in response to an inquiry from the event inquiry unit 33 and the average value calculation unit 34. It is

When the data acquisition unit 53 acquires two pieces of menstruation start date data respectively indicating two consecutive menstruation start dates, the number of days estimation unit 35 determines whether the data acquired by the data acquisition unit 53 is measured on the two menstruation start dates. Based on the body temperature data acquired in , estimate the number of days of the low temperature period and the number of days of the high temperature period in the two menstrual start days.

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

First, a method of mounting the body temperature measurement device 10 shown in FIG. 1 and a method of acquiring basal body temperature data in the management server 50 will be described.

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

When using the service in the body temperature data management system shown in FIG. 1, the user of the service wears a body temperature measurement device 10 on the underwear 1 worn by the user 2, for example, as shown in FIG. . At that time, the body temperature measuring device 10 can be attached to the underwear 1 with a clip or the like. The body temperature measuring device 10 is worn on the undergarment 1 so that the body temperature is in contact with the skin of the user 2 .

In the body temperature measuring device 10 attached to the underwear 1 as described above, when the date and time measured by the date and time timer 13 reaches the time according to the conditions stored in the memory 15, the processing of the processing unit 17 causes the temperature to be stored in the memory 15. Measurements using the body temperature sensor 11 and the external temperature sensor 12 are performed at intervals based on the stored conditions. Temperatures measured by the body temperature sensor 11 and the external temperature sensor 12 are sequentially stored in the memory 15 as body temperature data and external temperature data along with the time of measurement.

Then, when the date and time measured by the date and time timer 13 reaches the time corresponding to the conditions stored in the memory 15, the processing of the processing unit 17 ends the measurement using the body temperature sensor 11 and the external temperature sensor 12, and the body temperature is measured. The measuring device 10 goes to sleep.

The body temperature data and external temperature data stored in the memory 15 are periodically transmitted to the user terminal 20 via the BLE communication unit 16 . After the body temperature measurement device 10 enters the sleep state, the date and time measured by the date and time timer 13 are stored in the memory 15 at the time corresponding to the conditions stored in the memory 15. Then, short-range wireless communication is performed according to the BLE standard, and the body temperature data and the external temperature data stored in the memory 15 may be transmitted to the user terminal 20 via the BLE communication unit 16 .

When the body temperature data and external temperature data transmitted from the body temperature measurement 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 external temperature data are used. It is temporarily stored in the memory 26 of the user terminal 20 . Thereby, 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, and the measurement time, the terminal ID of the user terminal 20, and the device ID of the body temperature measuring device 10 are sent to the network. It is transmitted via the communication unit 22 .

As a result, the user wears the body temperature measurement device 10 on the undergarment 1 as shown in FIG. 20 at a communicable distance from the BLE communication unit 21, when the user wakes up, body temperature data and external temperature data measured by the body temperature measurement device 10 while sleeping are sent to the user terminal 20. has been sent.

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 measuring device 10 are received by the management server 50 via the communication network 40. It will be.

Next, a process of calculating an average value of basal body temperature data using data measured by the body temperature measurement device 10 shown in FIG. 1 will be described.

FIG. 4 is a flowchart for explaining a process of calculating an average value of basal body temperature data using data measured by the body temperature measuring device 10. As shown in FIG.

Body temperature data and external temperature data transmitted from the user terminal 20 via the communication network 40 are received via the network communication unit 51 of the management server 50 and acquired by the data acquisition unit 53 (step 1). .

Then, first, in the data exclusion unit 31 of the calculation unit 30, for the set of the body temperature data and the external temperature data acquired by the data acquisition unit 53, whether the skin temperature according to the body temperature data is, for example, 34° C. or higher, and whether the body temperature By determining whether the difference between the skin temperature data and the external temperature data is, for example, 0.1° C. or more, it is determined whether the user is wearing the body temperature measurement device 10. (Step 2). This is because, when the user wears the body temperature measurement device 10 on underwear while sleeping, the body temperature sensor 11 comes into contact with the skin of the human body, thereby increasing the skin temperature measured by the body temperature sensor 11. . That is, if the skin temperature based on the body temperature data is less than 34° C., or if the difference between the skin temperature based on the body temperature data and the external temperature based on the external temperature data is less than 0.1° C., the user must use the body temperature measurement device. 10 is considered not to be worn in underwear, and it is determined that the body temperature data in that case is not available. In addition, in this determination, either the one using only the skin temperature described above or the one using the skin temperature and the external temperature may be used, or both may be used.

As a result, the external temperature data measured by the external temperature sensor 12, which is not affected by the clothing, is used as a calculation target for body temperature identification, and the unnecessary temperature data, which cannot be a body temperature specific element based on the body temperature data, is accurately excluded from the target. The accuracy of specifying the body temperature can be improved by simple arithmetic processing.

For a set in which the skin temperature based on the body temperature data is, for example, 34° C. or higher, or the difference between the skin temperature based on the body temperature data and the external temperature based on the external temperature data is 0.1° C. or higher, the temperature is corrected as described later. is performed, the average value of the basal body temperature data is calculated. It is judged that the average value of the accurate basal body temperature data cannot be calculated using the body temperature data at that time. Therefore, data with a skin temperature of less than 34° C. is deleted, and data with a higher skin temperature than the external temperature data is deleted (step 3). It becomes possible to calculate the average value with high accuracy.

In addition, since the skin temperature is easily affected by the external temperature, the body temperature data is corrected by calculating the core body temperature by Fourier's law or the like using the skin temperature and the external temperature (step 4).

After that, a representative temperature is calculated for the corrected body temperature data (step 5), and in the abnormal data detection unit 32, there is a difference of 0.15° C. or more from the average value of the representative temperatures up to the measurement date of the body temperature data. Then, abnormal data having a difference of 0.15° C. or more from the average representative temperature up to the day before the measurement of the body temperature data is detected (step 6). This is because the temperature difference between the low temperature period and the high temperature period generally varies from 0.25 to 0.5°C among individuals. If there is a difference of 3° C. or more, it is determined that the low temperature period has shifted to the high temperature period, or the high temperature period to the low temperature period, and abnormal data in the low temperature period and the high temperature period cannot be detected. As for this value, an optimum value can be selected based on the user's past measurement data in the low temperature period and the high temperature period.

FIG. 5 is a diagram showing changes in body temperature during a typical menstrual cycle.

As shown in FIG. 5, the menstrual cycle consists of a low temperature period and a high temperature period. The low temperature period begins on the day of the start of menstruation, and then, generally, after about 13 to 22 days, the high temperature period shifts to the high temperature period. Approximately 12 to 16 days after the transition to the low temperature period, the next menstrual period will start and the period will shift again to the low temperature period. At that time, the body temperature in each of the low temperature period and the high temperature period is essentially constant, as indicated by the circles in FIG. 5(a).

Therefore, if there is a difference of 0.15°C or more from the average value of the representative temperature up to the day before the measurement of the body temperature data, as indicated by the x in FIG. It is thought that the body temperature increased due to When body temperature data that has risen due to some factors such as drinking alcohol or taking medication is used to calculate the average value of basal body temperature data, the average value of basal body temperature data is the average value of the body temperature of the person being measured who is the user. will be different, and it will not be possible to accurately estimate the number of days in the cold period, the number of days in the hot period, or the date of the next menstrual period or ovulation.

Therefore, if the abnormal data detection unit 32 detects abnormal data that has a difference of 0.15° C. or more from the average value of the representative temperature up to the measurement date of the body temperature data, the event inquiry unit 33 An inquiry is made as to whether any event such as drinking or taking medicine has occurred on the date of measurement of the abnormal data (step 7).

An inquiry about the occurrence of an event by the event inquiry unit 33 is transmitted from the management server 50 to the user terminal 20 via the communication network 40 and displayed on the display unit 27 of the user terminal 20 . On the display unit 27 of the user terminal 20, the measurement date of the abnormal data is displayed, and information for selectively inputting the event that occurred on that day is displayed.

At this time, at the timing when the body temperature data for one day measured by the body temperature measuring device 10 as described above is transmitted via the user terminal 20 and received by the management server 50, an inquiry about the occurrence of an event is made. By doing so, the person whose temperature is to be measured will not be unable to remember the event when there is an event such as drinking or taking medicine.

If no input is made in response to the inquiry displayed on the display unit 27 of the user terminal 20 (step 8), the body temperature judged to be abnormal data in step 6 by the calculation unit 30 of the management server 50 The data is adopted for calculation in the calculation unit 30 (step 9), and the average value of the basal body temperature data in the low temperature period or the high temperature period up to that point including the body temperature data is calculated in the average value calculation unit 34 (step 10). . In addition, if abnormal data for which no event occurrence has been input continues for two days or more, if the timing at which the abnormal data was measured is during the low temperature period and the abnormal data is high, the abnormal data will be abnormal due to the event occurrence. If it is determined that the abnormal data was measured during the high temperature period and the abnormal data is low, the abnormal data becomes an abnormal value due to the occurrence of the event. It will be judged that it was due to the shift to the low temperature period rather than the As a result, the low temperature period and the high temperature period can be distinguished, and the average value of the basal body temperature data in each of the low temperature period and the high temperature period can be calculated. In addition, even if the body temperature data for multiple days sequentially acquired by the data acquisition unit 53 straddles the low temperature period and the high temperature period, the body temperature data to be determined and the body temperature data measured on the previous day If the difference from the body temperature data obtained is not, for example, 0.25° C. or more, it is determined to be the same as the period between the low temperature period and the high temperature period up to that point, and there is no abnormal data that has not been input to the effect that an event has occurred. If it continues for two days or more, it will be judged that the period has shifted from a low temperature period to a high temperature period, or from a high temperature period to a low temperature period.

On the other hand, in response to the inquiry displayed on the display unit 27 of the user terminal 20, when the fact that an event such as drinking or taking medicine has occurred is input, the calculation unit 30 of the management server 50 controls the basal body temperature in step 10. Abnormal data is excluded from computation such as calculation of the average value of data (step 11). That is, the event inquiry unit 33 of the management server 50 inquires about the exclusion of the abnormal data detected by the abnormal data detection unit 32, and thereafter, the exclusion of the abnormal data is specified by inputting the occurrence of the event. become.

In this way, when an event such as drinking or taking medicine is input, the abnormal data is excluded from subsequent calculations such as calculation of the average value of basal body temperature using the body temperature data. As shown in (c), data different from other body temperature data by 0.15° C. or more are excluded in the low temperature period and the high temperature period.

Further, if it is determined in step 6 that there is no difference of 0.15° C. or more from the average value of the representative temperatures up to the measurement date of the body temperature data, the body temperature data is not abnormal data, so the management server The calculation unit 30 of 50 uses the body temperature data for subsequent calculations such as calculation of the average value of the basal body temperature.

In this way, when an event that affects body temperature, such as taking medication or drinking alcohol, occurs in the basal body temperature data for multiple days, the basal body temperature data up to the previous day has a predetermined bias. When abnormal data suspected to have been detected as The average value of the basal body temperature data in the low and high periods is calculated by excluding the abnormal data, so if an event that affects the body temperature such as taking medicine or drinking alcohol occurs during the measurement period of the basal body temperature Even in this case, it becomes possible to calculate the average body temperature of the person to be measured in the normal state during the low temperature period and the high temperature period.

The average value of the basal body temperature data for each of the low temperature period and the high temperature period calculated in this manner can be used for the process of distinguishing between the low temperature period and the high temperature period in the next and subsequent menstrual cycles. For example, by determining whether the body temperature data measured by the body temperature measurement device 10 and acquired by the management server 50 has a difference of 0.25° C. or more from the calculated average value, It becomes possible to determine whether the measurement date of the body temperature data belongs to the low temperature period or the high temperature period.

In the above-described process, whether the body temperature data to be determined as abnormal data has a difference of 0.15° C. or more from the average representative temperature up to the measurement date of the body temperature data. Abnormal data is detected by judging whether or not. If data with a predetermined bias is detected as abnormal data, the maximum and minimum values of the body temperature data measured during the low temperature period when the abnormal data is measured during the low temperature period. Alternatively, detecting abnormal data by determining whether the difference between the average value of body temperature data in the low temperature period up to the measurement date and the body temperature data to be determined is equal to or greater than a predetermined temperature, or detecting abnormal data is measured during the high temperature period, the maximum and minimum values of the body temperature data measured during the high temperature period, or the average value of the body temperature data during the high temperature period up to the measurement date, and the body temperature to be judged Abnormal data may be detected by determining whether the difference from the data is equal to or higher than a predetermined temperature.

Next, the process of estimating the number of days in the low temperature period and the high temperature period using the average value of the basal body temperature data calculated by the series of processes described above will be described.

FIG. 6 is a flowchart for explaining a process of estimating the number of days in the low temperature period and the high temperature period in the management server 50. As shown in FIG.

Two consecutive menstruation start dates are input via the operation unit 23 of the user terminal 20, and two menstruation start date data respectively indicating the input two menstruation start dates are sent to the management server 50 via the communication network 40. , the data acquisition unit 53 of the management server 50 acquires two menstruation start date data (step 21).

When the data acquisition unit 53 acquires two menstruation start date data, the number of days estimation unit 35 determines whether body temperature data for two menstruation start dates have been acquired (step 22). This can be determined by referring to the database 54 and confirming whether body temperature data for two days of the start of menstruation is registered. At that time, it is conceivable that body temperature data may not be acquired even on the two menstrual start dates due to, for example, forgetting to attach the body temperature measuring device 10 to the human body. Therefore, by referring to the measurement date, it is possible to determine whether body temperature data for two menstrual start dates have been acquired.

When the data acquisition unit 53 has acquired the body temperature data for the two menstruation start days, the number of days of the low temperature period and the high temperature period in the two menstruation start days are calculated by the number of days estimating unit 35 based on the acquired body temperature data. are estimated (step 23). This is because, in the average value calculation process described above, it is determined whether the acquired body temperature data is for the low temperature period or the high temperature period, so these body temperature data are measured during the two menstruation start days. by counting the number of days At that time, if the body temperature data is not acquired because the body temperature measurement device 10 was forgotten to be attached to the human body, etc., it is determined whether it is a low temperature period or a high temperature period from the body temperature data measured on the days before and after that, and the body temperature data is obtained. The number of days in the low temperature period and the high temperature period is estimated including the days that are not acquired.

Thus, by estimating the number of days in the low temperature period and the number of days in the high temperature period, in the next menstrual cycle, using the acquired basal body temperature data and the estimated number of days in the low temperature period and the high temperature period, You can estimate the next menstruation date and ovulation date.

The estimated next menstruation date and ovulation date are transmitted from the data providing unit 55 to the user terminal 20 via the communication network 40 and displayed on the display unit 27 of the user terminal 20 .

Next, the processing when abnormal data is detected at the timing of transition from the low temperature period to the high temperature period will be described.

FIG. 7 is a diagram showing an example in which abnormal data occurs at the timing of transition from the low temperature period to the high temperature period. FIG. 8 is a flowchart for explaining the processing when abnormal data is detected at the timing of transition from the low temperature period to the high temperature period.

As shown in FIG. 7( a ), when abnormal data with a difference of 0.15° C. or more from the average value in the low temperature period or the average value in the high temperature period occurs at the point Δ in FIG. 7, the above-described series of processing Even if the number of days of the low temperature period and the number of days of the high temperature period in the menstrual cycle of two consecutive menstruation start days input via the operation unit 23 of the user terminal 20 estimated by may differ from the number of days.

Therefore, in the number of days estimating unit 35, first, the number of days obtained by adding the number of days of the low temperature period and the number of days of the high temperature period in the menstrual cycle of two consecutive menstrual start days input via the operation unit 23 of the user terminal 20 is 2. It is determined whether the number of days is less than one menstrual start date (step 31).

If the number of days obtained by adding the number of days of the low temperature period and the number of days of the high temperature period in the menstrual cycle of the two consecutive menstruation start days is less than the number of days of the two menstruation start days, the transition period between the low temperature period and the high temperature period is shown in FIG. In step 11, it is determined whether or not abnormal data is excluded (step 32), and if abnormal data is not excluded in the transition period between the low temperature period and the high temperature period, the number of days estimating unit 35 performs step 6 in FIG. The abnormal data detected in is compared with the average value of the basal body temperature data in each of the low temperature period and the high temperature period (step 33).

Then, if the abnormal data detected in step 6 of FIG. 4 is closer to the average value of the basal body temperature data in the low temperature period than the average value of the basal body temperature data in the high temperature period (step 34), FIG. , the day on which the abnormal data was measured and detected is added to the number of days of the low temperature period (step 35).

On the other hand, if the abnormal data detected in step 6 of FIG. 4 is closer to the average value of the basal body temperature data in the high temperature period than the average value of the basal body temperature data in the low temperature period (step 34), the abnormal data is measured. The number of days of high temperature is added to the number of days of the high temperature period (step 36).

If abnormal data is excluded in the transitional period between the low temperature period and the high temperature period, the days of the excluded abnormal data are not added to the days of the low temperature period and the high temperature period (step 37).

In this way, when abnormal data is detected at the timing of transition from the low temperature period to the high temperature period, and the abnormal data is not due to factors such as drinking alcohol or taking medication, the detected abnormal data is If the average value of the basal body temperature data in the low temperature period is closer to the average value of the basal body temperature data in the low temperature period, the day on which the abnormal data was detected is added to the number of days in the low temperature period. If the average value of the basal body temperature data in the high temperature period is closer than the average value of the data, the day when the abnormal data was detected is added to the number of days in the high temperature period, so there is concern about the timing of the transition from the low temperature period to the high temperature period. Even if the basal body temperature data is measured regularly, the next menstruation day and ovulation day can be estimated from the number of days of low temperature period and number of days of high temperature period. In addition, in step 37, if the day due to the excluded abnormal data is not added to the number of days of the low temperature period and the number of days of the high temperature period, the number of days of the low temperature period and the number of days of the high temperature period calculated in the previous cycle will be You can estimate the day and ovulation day.

(Other embodiments)
FIG. 9 is a diagram showing another embodiment of the body temperature data management system using the basal body temperature information processing device of the present invention.

As shown in FIG. 9, this embodiment differs from the one shown in FIG.

Unlike the user terminal 20 shown in FIG. 1, the user terminal 120 in this embodiment does not have the network communication unit 22 and has the computing unit 30 of the management server 50 shown in FIG. . The computing unit 30 has the configuration shown in FIG. 2 and performs the same processing as described above. By performing a predetermined calculation using , provision data to be provided to the user of the user terminal 20 is generated.

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 user terminal 22, 51 network communication unit 23 Operation unit 25 Alarm output unit 27 Display unit 28, 53 Data acquisition unit 30 Calculation unit 31 Data exclusion unit 32 Abnormal data detection unit 33 Event inquiry unit 34 Average value calculation unit 35 Days estimation unit 50 Management server 54 Database 55 Data provision unit

Claims (5)

A basal body temperature information processing device that calculates an average value of basal body temperature data in a low temperature period or a high temperature period in a menstrual cycle,
Data acquisition means for acquiring basal body temperature data for multiple days in the low temperature period or the high temperature period;
Abnormal data detection means for detecting abnormal data having a predetermined bias with respect to the basal body temperature data up to the previous day among the obtained basal body temperature data for the plurality of days;
inquiry means for inquiring whether an event has occurred on the measurement date of the abnormal data when the abnormal data is detected by the abnormal data detection means;
When the fact that an event has occurred is specified in response to the inquiry by the inquiry means , the average value of the basal body temperature data in the low temperature period or the high temperature period is calculated by excluding the abnormal data , and in the inquiry means average value calculation means for calculating an average value of the basal body temperature data in the low temperature period or the high temperature period without excluding the abnormal data when the fact that an event has occurred is not specified in response to the inquiry. Body temperature information processing device. In the basal body temperature information processing device according to claim 1,
The inquiry means, when the abnormal data detection means detects abnormal data, inquires whether an event has occurred at the timing when the data acquisition means acquires the basal body temperature data for one day. Body temperature information processing device. In the basal body temperature information processing device according to claim 1 or claim 2 ,
The data acquisition means acquires two menstruation start date data respectively indicating two consecutive menstruation start dates,
Based on the basal body temperature data acquired within the two menstruation start days by the data acquisition means, a number of days estimation means for estimating the number of days of the low temperature period and the number of days of the high temperature period in the two menstruation start days, Basal body temperature information processing device. In the basal body temperature information processing device according to claim 3 ,
The number of days estimating means, when the abnormal data is detected at the timing of transition from the low temperature period to the high temperature period, the abnormal data is higher than the average value of the basal body temperature data in the high temperature period. If it is close to the average value of the data, the day when the abnormal data was detected is added to the number of days in the low temperature period, and the abnormal data is higher than the average value of the basal body temperature data in the low temperature period. A basal body temperature information processing device that adds the day when the abnormal data was detected to the number of days of the high temperature period when the value is close to the average value. A basal body temperature information processing method for calculating an average value of basal body temperature data in a low temperature period or a high temperature period in a menstrual cycle,
a data acquisition step of acquiring multiple days of basal body temperature data in the low temperature period or the high temperature period;
an abnormal data detection step of detecting abnormal data having a predetermined bias with respect to the basal body temperature data up to the previous day among the obtained basal body temperature data for the plurality of days;
an inquiry step of inquiring whether an event occurred on the measurement date of the abnormal data when abnormal data was detected in the abnormal data detection step;
When the fact that an event has occurred is specified in the inquiry in the inquiry step, the average value of the basal body temperature data in the low temperature period or the high temperature period is calculated by excluding the abnormal data , and in the inquiry step and an average value calculation step of calculating an average value of the basal body temperature data in the low temperature period or the high temperature period without excluding the abnormal data when the event occurrence is not specified in response to the inquiry. Body temperature information processing method.

Images