JP6127249B2 - Hormone balance estimation device and hormone balance estimation method - Google Patents

Description

  The present invention relates to a hormone balance estimation apparatus and a hormone balance estimation method for estimating a hormone balance of a measurement subject.

  Conventionally, in order to grasp a woman's hormonal balance and use it for health care, a method has been used in which a female thermometer is used for measurement every morning and the fluctuation is recorded as a basal body temperature for several months (for example, Patent Document 1). , 2).

Japanese Patent No. 3355163 Japanese Patent Publication No. 3-054579

  However, the pattern of basal body temperature fluctuations associated with the menstrual cycle is not uniform, and it is difficult to identify when the transition from the low temperature phase (low temperature phase) to the high temperature phase (high temperature phase) is possible with conventional technology There were many. As shown in FIG. 22, “Matsumoto classification” which is a representative classification method of basal body temperature is (I), (II), (III), (III '), (IV), (V), (VI). However, it is said that 10% to 20% of type I is easy to judge in actual measurement. Furthermore, due to changes in social conditions, the state of women's health anxiety is also increasing due to factors such as the increase in working women and the declining birth rate and low birth rate. For this reason, the actual basal body temperature graph deviates from the conventional normal basal body temperature change pattern, and most cases are difficult to judge.

  On the other hand, in order to capture the female hormone fluctuations of the subject (subject), which is the purpose of basal body temperature measurement, from the measured temperature change, the range of change and the menstrual cycle are analyzed with high accuracy, and from the low temperature period to the high temperature It is necessary to specify the transition time to the period.

  In addition to the conventional method of using basal body temperature to identify the days when it is easy to conceive for the purpose of identifying the transition period from the low temperature period to the high temperature period and capturing female hormone fluctuations, from the continuation status of the low temperature period and the high temperature period, There is an increasing need to estimate the secretion status of female hormones and use it for health management and self-care. This is because, as women's health consciousness increases, the importance of care for infertility, PMS (premenstrual syndrome) and menopause has been recognized, and health management based on basal body temperature has attracted attention.

  In response to such a request, for example, in the conventional technology, the specific accuracy of the transition period from the low temperature period to the high temperature period is low, and only the change in the basal body temperature is displayed, so the transition period from the low temperature period to the high temperature period is discriminated. There is a problem that it is difficult to grasp and predict the hormone balance state based on the difficulty.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to provide a hormone balance estimation apparatus and a hormone balance estimation method capable of appropriately grasping the hormone balance state.

In order to solve the above-mentioned problem, the invention of claim 1 is directed to a state in which the subject is in a high temperature period or a low temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days. An average menstrual cycle days specifying means for specifying the average menstrual cycle days, and averaging the body temperature data in the menstrual cycle based on the average menstrual cycle days to obtain a cycle average temperature When the body temperature data exceeds the cycle average temperature continuously for two days or more in the menstrual cycle, the cycle average temperature calculation means to calculate, and the transition from the first day to the high temperature period, and a transition timing specifying means for specifying a transition period, a sequence of said body temperature data includes a plurality of menstrual cycles, the average menstrual cycle days specifying means, a plurality of menstrual circumferential contained in sequence in the body temperature data A normal menstrual cycle determining means for determining that the number of days in the menstrual cycle is within a predetermined normal range based on the self-reported cycle days declared by the measured person, and the normal menstrual cycle And a number of days calculating means for calculating the average number of menstrual cycle days based on the number of days in the menstrual cycle determined to be normal by the determining means.

  In the invention of claim 2, the transition time specifying means specifies the transition time within a predetermined period of the menstrual cycle.

In the invention of claim 3, the normal menstrual cycle determining means is a normal menstrual cycle for the latest three cycles consisting of a menstrual cycle for specifying the transition time, the previous menstrual cycle, and the previous menstrual cycle. The number of days calculating means calculates the average number of menstrual cycle days based on the number of days of the menstrual cycle determined to be normal by the normal menstrual cycle determining means among the three most recent cycles.

In the invention of claim 4, the cycle average temperature calculating means averages the body temperature data of the entire menstrual cycle when the number of days of the menstrual cycle specifying the transition time is equal to or less than the average menstrual cycle days, and the cycle average When the number of days of the menstrual cycle for calculating the temperature and specifying the transition time exceeds the average number of menstrual cycle days, the body temperature data for the average number of menstrual cycle days counted from the last day of the cycle is averaged to obtain the cycle average temperature. Arithmetic.

According to a fifth aspect of the present invention, the apparatus further comprises display means for displaying the series of body temperature data as a set of bar graphs of body temperature data, and the display means includes the body temperature in the low temperature period and the high temperature period specified by the transition time specifying means. Data bar graphs are displayed in different colors.

The inventions of claim 6, hormones to estimate whether the one of the state of the person to be measured high temperature period and a low temperature stage with a sequence of body temperature data measured over the body temperature of the subject multiple days A balance estimation device for averaging the body temperature data in the menstrual cycle to calculate the cycle average temperature, and when the body temperature data exceeds the cycle average temperature continuously for two days or more in the menstrual cycle Furthermore, as a transition from the first day to the high temperature period, a transition time specifying means for specifying the transition time from the low temperature period to the high temperature period and a female power index calculation means for calculating the female power index WP according to the hormone balance are provided. The female power index calculating means includes a first index P1 deducted when the number of days in the low temperature period is longer than the normal range, and a second index deducted when the number of days in the high temperature period is shorter than the normal range. finger Add these three indices P1, P2, and P3 from the index P2 and the third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is below the normal range. Then, the female power index WP corresponding to the hormone balance is calculated .

The inventions of claim 7, hormone to estimate whether the one of the state of the person to be measured high temperature period and a low temperature stage with a sequence of body temperature data measured over the body temperature of the subject multiple days A balance estimation device for averaging the body temperature data in the menstrual cycle to calculate the cycle average temperature, and when the body temperature data exceeds the cycle average temperature continuously for two days or more in the menstrual cycle Furthermore, as a transition from the first day to the high temperature period, a transition time specifying means for specifying the transition time from the low temperature period to the high temperature period and a female power index calculation means for calculating the female power index WP according to the hormone balance are provided. The female power index calculating means includes a first index P1 deducted when the number of days in the low temperature period is longer than a normal range, and an excess of body temperature data with respect to the cycle average temperature of the entire menstrual cycle A high temperature period temperature excess index P22 consisting of integrated values accumulated throughout the high temperature period is calculated, a second index P2 obtained by multiplying the high temperature period temperature excess index P22 by a predetermined coefficient C, and the average temperature in the low temperature period, From the third index P3 that is deducted when the temperature difference from the average temperature in the high temperature period is less than the normal range, these three indices P1, P2, and P3 are added to the female power index according to the hormone balance. It is characterized by calculating WP .

In the invention of claim 8, the female power index calculating means does not calculate the female power index WP when the average temperature in the low temperature period is higher than the average temperature in the high temperature period, and the average temperature in the low temperature period is that in the high temperature period. The female power index WP is calculated when the temperature is lower than the average temperature.

In the ninth aspect of the invention, the female power index calculating means calculates the female power index WP based on whether or not the menstrual cycle days are shorter than a predetermined number of days.

According to the invention of claim 10 , the average high temperature period days specifying means for specifying the average high temperature period days, and ovulation within a predetermined period centered on the day before the average high temperature period days from the next scheduled menstrual period start date Ovulation period estimation means for estimating the period is further provided.

In the invention of claim 11, the processing device estimates whether the subject is in the high temperature period or the low temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days. A method for estimating hormone balance , comprising: an average menstrual cycle days specifying step for specifying an average menstrual cycle days; and a cycle average temperature for calculating body temperature data in the menstrual cycle based on the average menstrual cycle days and calculating a cycle average temperature a calculation step, when the body temperature data for two consecutive days or more in the menstrual cycle exceeds the period average temperature, as a transition from the first day to a high temperature stage, identifies the transition time from the low temperature phase to the high temperature period and a transition timing specifying process, series of the body temperature data includes a plurality of menstrual cycles, the average menstrual cycle days particular process, menstrual periphery of the plurality of the menstrual cycle contained in sequence in the body temperature data The normal menstrual cycle determining step for determining that the number of days is within the predetermined normal range based on the self-reported cycle days reported by the measured person, and the normal menstrual cycle determining means And a day number calculating step for calculating the average number of menstrual cycle days based on the number of days in the menstrual cycle.
In the twelfth aspect of the invention, the processing apparatus estimates whether the measurement subject is in the high temperature period or the low temperature period using a series of body temperature data obtained by measuring the measurement subject's body temperature over a plurality of days. A method for estimating a hormone balance, wherein a cycle average temperature calculating step of calculating a cycle average temperature by averaging body temperature data in a menstrual cycle, and body temperature data exceeds the cycle average temperature continuously for two days or more in the menstrual cycle. The transition period specifying step for specifying the transition period from the low temperature period to the high temperature period, and the female power index calculation process for calculating the female power index WP according to the hormone balance In the female power index calculation step, the first index P1 is deducted when the number of days in the low temperature period is longer than the normal range, and the deduction is performed when the number of days in the high temperature period is shorter than the normal range. And a third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range, and calculates these three indices P1 , P2, P3 are added to calculate the female power index WP according to the hormone balance.
In the invention of claim 13, the processing device estimates whether the subject is in the high temperature period or the low temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days. A method for estimating a hormone balance, wherein a cycle average temperature calculating step of calculating a cycle average temperature by averaging body temperature data in a menstrual cycle, and body temperature data exceeds the cycle average temperature continuously for two days or more in the menstrual cycle. The transition period specifying step for specifying the transition period from the low temperature period to the high temperature period, and the female power index calculation process for calculating the female power index WP according to the hormone balance The female power index calculation step includes a first index P1 deducted when the number of days in the low temperature period is longer than a normal range, and body temperature data for the cycle average temperature of the entire menstrual cycle A high temperature period temperature excess index P22 comprising an integrated value obtained by integrating the excess over the entire high temperature period is calculated, a second index P2 obtained by multiplying the high temperature period temperature excess index P22 by a predetermined coefficient C, and the low temperature period When the temperature difference between the average temperature and the average temperature in the high temperature period is less than the normal range, a third index P3 deducted is calculated, and these three indices P1, P2, P3 are added to the hormone balance. The female power index WP corresponding thereto is calculated.

According to the first and eleventh aspects of the invention, the transition time specifying means (transition time specifying step) starts from the first day to the high temperature period when the body temperature data exceeds the cycle average temperature for two days or more in the menstrual cycle. The transition period from the low temperature period to the high temperature period is specified as the transition. For this reason, for example, even if there are discontinuous days when the body temperature data becomes high in the middle of the low temperature period, the transition to the high temperature period is not mistaken. For this reason, the transition time from the low temperature period to the high temperature period can be appropriately specified, and the hormone balance state can be appropriately grasped.
In addition, since the cycle average temperature calculation means (cycle average temperature calculation step) calculates the cycle average temperature based on the average number of menstrual cycle days, for example, the cycle average temperature is not biased toward the low temperature side or the high temperature side. A value corresponding to the physical condition can be calculated.
Furthermore, the normal menstrual cycle determining means (normal menstrual cycle determining step) determines that the number of days in the menstrual cycle is within a predetermined normal range with reference to the self-reported cycle days as a normal menstrual cycle. It is possible to exclude those in which the low temperature period is longer than in the normal state and the number of days in the menstrual cycle deviates significantly from the number of self-reported cycle days. For this reason, the days calculation means (days calculation step) can calculate the average menstrual cycle days based on the number of days in the normal menstrual cycle.

  According to the second aspect of the present invention, the transition timing specifying means specifies the transition timing within a predetermined period in which the transition from the low temperature period to the high temperature period is likely to occur, for example, in the menstrual cycle. For this reason, an inappropriate period such as the vicinity of the menstrual start date can be excluded as the transition time, and the transition time can be appropriately grasped.

According to the invention of claim 3 , the number of days calculating means calculates the average number of menstrual cycle days based on the number of days of the menstrual cycle determined as normal by the normal menstrual cycle determining means among the menstrual cycles for the latest three cycles. The average number of menstrual cycle days can be calculated based on the body temperature data of the menstrual cycle for the latest three cycles that are close to the subject's physical condition. Further, since the day calculation means calculates the average menstrual cycle days based on the number of normal menstrual cycles, the average menstrual cycle days in the normal state of the measurement subject can be calculated.

According to the invention of claim 4 , when the number of days of the menstrual cycle specifying the transition time is equal to or less than the average number of menstrual cycle days, the cycle average temperature calculating means averages the body temperature data of the entire menstrual cycle to obtain the cycle average temperature. Calculate. At this time, it is considered that the lengths of the low temperature period and the high temperature period are within an appropriate range in calculating the cycle average temperature. For this reason, the cycle average temperature calculating means can calculate an appropriate cycle average temperature in the menstrual cycle by averaging the body temperature data of the entire menstrual cycle.

  On the other hand, when the number of days in the menstrual cycle specifying the transition time exceeds the average number of menstrual cycle days, the cycle average temperature calculating means averages the body temperature data for the average number of menstrual cycle days from the last day of the cycle, and calculates the cycle average temperature. Calculate. At this time, there is a possibility that the low temperature period is excessively long in calculating the cycle average temperature. For this reason, the cycle average temperature calculating means can suppress the bias of the cycle average temperature to the low temperature side by averaging the body temperature data for the average number of menstrual cycle days counted from the last day of the cycle. It is possible to calculate an appropriate period average temperature.

According to the invention of claim 5 , the display means displays the bar graph of the body temperature data in different colors in the low temperature period and the high temperature period specified by the transition time specifying means. For this reason, the person to be measured can easily recognize the low temperature period and the high temperature period only by visually observing a set of bar graphs, and can appropriately grasp the hormone balance state.

According to the sixth and twelfth aspects of the present invention, the female power index calculating means (women power index calculating step) includes the first index P1 deducted when the number of days in the low temperature period is longer than the normal range, and the number of days in the high temperature period. From the second index P2 deducted when the temperature is shorter than the normal range and the third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range, These three indices P1, P2, and P3 are added to calculate the female power index WP according to the hormone balance . At this time, the number of days in the low temperature period, the number of days in the high temperature period, and the average temperature difference between the low temperature period and the high temperature period are all three factors that are easily affected by hormone balance. The force index WP can be calculated. For this reason, it is possible to appropriately grasp the hormone balance state using the female strength index WP .

According to the inventions of claims 7 and 13 , the female power index calculating means (women power index calculating step) includes the first index P1 deducted when the number of days in the low temperature period is longer than the normal range, and the body temperature data is a period. A high temperature period temperature excess index P22 consisting of an integrated value obtained by integrating the portions exceeding the average temperature during the high temperature period is calculated, and a second index P2 obtained by multiplying the high temperature period temperature excess index P22 by a predetermined coefficient C ; From the third index P3, which is deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range, add these three indices P1, P2, P3 according to the hormone balance. The female power index WP is calculated. At this time, the number of days in the low temperature period, the integrated value of the excess of the cycle average temperature in the high temperature period, and the average temperature difference between the low temperature period and the high temperature period are all three factors that are easily affected by hormone balance. The female power index WP can be calculated as an index corresponding to the hormone balance. For this reason, it is possible to appropriately grasp the hormone balance state using the female strength index WP .

According to the invention of claim 8 , the female power index calculating means does not calculate the female power index WP when the average temperature in the low temperature period is higher than the average temperature in the high temperature period, and the average temperature in the low temperature period is that in the high temperature period. When the temperature is lower than the average temperature, the female power index WP is calculated. For example, even if body temperature data exceeded the cycle average temperature for two days or more in the menstrual cycle, if the average temperature in the high temperature period did not rise above the average temperature in the low temperature period, there was no transition from the low temperature period to the high temperature period It is considered a thing. At this time, since the average temperature in the low temperature period is higher than the average temperature in the high temperature period, the female power index calculating means does not calculate the female power index WP . For this reason, when the average temperature in the low temperature period is lower than the average temperature in the high temperature period and the transition from the low temperature period to the high temperature period occurs reliably, the female power index calculating means calculates the female power index WP. Can do.

According to the ninth aspect of the present invention, the female power index calculating means calculates the female power index WP based on whether or not the menstrual cycle days are shorter than a predetermined number of days. For example, even if the number of days in the low temperature period and the number of days in the high temperature period are in a normal range, if the number of days in the menstrual cycle is shorter than the number of days considered to be normal (for example, 25 days), hormone balance may be disturbed. . The female power index calculating means can calculate a female power index WP reflecting this point.

According to the invention of claim 10 , the ovulation period estimation means estimates the ovulation period within a predetermined period centered on the day before the average high temperature period days from the next scheduled menstrual start date. Here, in the ovulation period, in addition to being affected by the number of days in the high temperature period, the number of days in the high temperature period varies greatly among individuals. On the other hand, since the ovulation period estimation means determines the central day of the ovulation period based on the average number of days of the high temperature period, it is possible to estimate an appropriate ovulation period according to individual differences of the measurement subject.

It is an external view which shows the state which the to-be-measured person mounted | worn with the wearable sensor apparatus used for the 1st Embodiment of this invention. It is a front view which shows the wearable sensor apparatus in FIG. It is sectional drawing which looked at the wearable sensor apparatus from the arrow III-III direction in FIG. It is a block diagram which shows the structure of the control unit provided in the wearable sensor apparatus. It is explanatory drawing which shows the hormone balance estimation apparatus comprised from the wearable sensor apparatus and the external processing apparatus. It is explanatory drawing which shows a body temperature data series. It is a flowchart which shows a hormone balance estimation process. It is a flowchart which shows the average menstrual cycle days specific process in FIG. It is a flowchart which shows the period average temperature calculation process in FIG. It is a flowchart which shows the determination process of the low temperature period and high temperature period in FIG. It is a flowchart which shows the woman power index calculation process in FIG. It is explanatory drawing which shows an example of the display screen of a hormone balance estimation result about a state with a comparatively favorable hormone balance. It is explanatory drawing which shows an example of the display screen of a hormone balance estimation result about the state where the temperature difference fell. It is explanatory drawing which shows an example of the display screen of a hormone balance estimation result about the state which the low temperature period extended. It is a flowchart which shows the woman power index calculation process by 2nd Embodiment. It is a flowchart which shows the woman power index calculation process by 3rd Embodiment. It is explanatory drawing which shows an example of the display screen of a hormone balance estimation result about a state with a negative temperature difference. It is explanatory drawing which shows an example of the display screen of a hormone balance estimation result about the state in which the temperature difference fell below 0.2 degreeC. It is explanatory drawing which shows an example of the display screen of a hormone balance estimation result about the state whose menstrual cycle days are less than 25 days. It is a flowchart which shows the hormone balance estimation process by 4th Embodiment. It is a flowchart which shows the estimation process of the ovulation period in FIG. It is explanatory drawing which shows the example of a fluctuation | variation of a basal body temperature.

  Hereinafter, a hormone balance estimation apparatus according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

  First, FIG. 1 to FIG. 14 show a first embodiment. In the figure, reference numeral 1 denotes a wearable sensor device (hereinafter referred to as sensor device 1) that constitutes a hormone balance estimation device together with an external processing device 13 to be described later. The sensor device 1 includes a casing 2 to be described later, body surface temperature detection. The unit 3, the outside air temperature detection unit 4, the control unit 6, the display unit 11, and the like are roughly configured.

  Reference numeral 2 denotes a casing that forms the main body (main support) of the sensor device 1, and the casing 2 is formed in a substantially oval (egg-shaped) box shape using, for example, a resin material as shown in FIGS. 1 to 3. The circuit board 5 and the like to be described later are accommodated in the interior.

  Reference numeral 3 denotes a body surface temperature detecting unit (body surface temperature detecting means) for detecting the temperature of the body surface, and the body surface temperature detecting unit 3 is constituted by a temperature measuring element such as a thermistor. The body surface temperature detection unit 3 is disposed on the body surface side of the person H to be measured in the casing 2. For this reason, the casing 2 contacts the body surface H0 of the person H to be measured, and the body surface temperature is thermally conducted to the temperature measuring element through the casing 2. Here, the resin material of the portion of the casing 2 that is in contact with the body surface temperature detection unit 3 is processed thinly. Thereby, the body surface temperature detection part 3 outputs the signal according to the body surface temperature of the to-be-measured person H by the temperature measuring element.

  The body surface temperature detector 3 is configured to directly detect the body temperature by contacting the body surface H0 of the person H to be measured. However, the present invention is not limited to this. For example, when an undergarment or the like is sandwiched between the body surface temperature detecting unit 3 and the body surface H0 of the person H to be measured, the body surface temperature detecting unit 3 is not connected to the underwear or the like. Thus, the body temperature of the person H to be measured may be indirectly detected. That is, the body surface temperature detection unit 3 does not need to detect the absolute body temperature of the person H to be measured, and only needs to detect a relative temperature that changes according to the body temperature. Therefore, if the daily measurement conditions are substantially constant, for example, the body surface temperature detection unit 3 may be in close contact with the body surface H0 of the person H to be measured with one piece of underwear interposed therebetween. The body surface temperature detection unit 3 is not limited to the one that detects the temperature of the body surface H0 of the person H to be measured, and may be configured to use, for example, a deep thermometer that detects the temperature inside the body of the person H to be measured.

  Reference numeral 4 denotes an outside air temperature detecting unit (outside air temperature detecting means) for detecting the outside air temperature. The outside air temperature detecting unit 4 is opposite to the body surface H0 of the person H to be measured in the casing 2 as shown in FIG. Located on the back side. A circuit board 5 described later is arranged between the outside air temperature detection unit 4 and the body surface temperature detection unit 3. And since the outside temperature detection part 4 is located in the back side of the casing 2, it detects outside temperature via the casing 2, and outputs the signal according to outside temperature from a temperature measuring element.

  Reference numeral 5 denotes a circuit board accommodated in the casing 2, and a control unit 6 as a reading means comprising a microcomputer or the like is mounted on the circuit board 5 as shown in FIG. The control unit 6 has an input side connected to the body surface temperature detection unit 3 and the outside air temperature detection unit 4, and an output side connected to a display unit 11 described later. Further, the control unit 6 is provided with a storage unit 7 composed of, for example, a ROM, a RAM or the like as a storage means.

  Here, the storage unit 7 stores in advance a program for operating the control unit 6, a start time ts, an end time te, and a time interval Δt used in the program. The storage unit 7 is configured to store body surface temperature detection data D1, outside air temperature detection data D2, and body temperature data D3, which will be described later, by the operation of the control unit 6.

  At this time, the start time ts and the end time te are set as, for example, 0:00 am (ts = 0: 0 am) and 6:00 am (te = 6: 00 am) as sleeping time, and the time interval Δt is, for example, 10 It is set to a value of about minutes. Note that the start time ts and the end time te are set to the start time and the end time of bedtime if the person H to be measured is a night worker, for example. Also, the time interval Δt is not limited to 10 minutes, and is appropriately set according to the measurement conditions and the like, for example, between about 1 to 30 minutes.

  Further, the control unit 6 has a timer 8 for measuring time, and is connected to a switch unit 9 including, for example, three button switches 9A to 9C. The control unit 6 is driven by a power source 10 such as a coin-type lithium battery mounted on the casing 2, and operates by reading a program from the storage unit 7 by operating the switch unit 9. As a result, when the time by the timer 8 reaches the start time ts, the control unit 6 sets the detected temperature from the body surface temperature detection unit 3 to the detected temperature at regular time intervals Δt from the start time ts to the end time te. The corresponding body surface temperature detection data D1 is read, and the outside air temperature detection data D2 corresponding to the detected temperature is read from the outside air temperature detection unit 4.

  Then, the control unit 6 sequentially stores the body surface temperature detection data D1 and the outside air temperature detection data D2 in the storage unit 7. As a result, the storage unit 7 stores a time-series body surface temperature data group DG1 composed of a plurality of body surface temperature detection data D1 from a start time ts to an end time te, and a time series composed of a plurality of outside air temperature detection data D2. Of the outside air temperature data group DG2.

  The storage unit 7 is a value within a preset allowable temperature range (for example, 32 ° C. to 40 ° C.) of the temperature detection data D 1 and D 2 by the control unit 6 and an allowable temperature change range (for example, ± 1). The data groups DG1 and DG2 are stored with values within (° C./10 minutes) as normal values and values outside the allowable range as abnormal values. Specifically, the temperature detection data D1 and D2 are stored as they are as normal values, and missing data (for example, an error flag that can be distinguished from normal values) is stored as an abnormal value.

  Here, since the body temperature measurement range of the human body is generally about 32 ° C. to 40 ° C., the allowable temperature range is a range in which the temperature detected by the body surface temperature detection unit 3 in a thermal equilibrium state is, for example, 32 ° C. to 40 ° C. It is decided based on the idea that it does not deviate. Further, the body temperature of the person H to be measured is relatively stable during sleep. For this reason, the allowable range of temperature change is determined based on the idea that it does not change beyond the allowable range of ± 1 ° C., for example, before and after the time interval Δt of about 10 minutes.

  The allowable temperature range and the allowable temperature change range are not limited to the exemplified values, and may be set as appropriate in consideration of measurement conditions and the like.

  The body surface temperature detection data D1 may be the temperature T1 itself detected by the body surface temperature detection unit 3, for example, a difference value between a preset reference temperature value T0 and the temperature T1. Similarly, the outside air temperature detection data D2 may be the temperature T2 itself detected by the outside air temperature detection unit 4, or may be a difference value between the reference temperature numerical value T0 and the temperature T2. In this case, the reference temperature value T0 is preferably set to, for example, an average value (for example, 34 ° C.) of the temperatures T1 and T2 in order to reduce the data capacity.

  Here, when the person H to be measured wears the sensor device 1 on his / her body in a normal room temperature environment, the body of the person H to be measured, which is a heat source, is closer to the body in the process of heating the casing 2. The temperature of the body surface temperature detection unit 3 positioned is T1 ≧ T2 including the case where the temperature rises before the outside air temperature detection unit 4 and reaches thermal equilibrium. If T1 <T2, it is considered that there is some heat source on the outside air side and it is influenced by factors that are heated from the outside. For example, when sleeping, sleeping for a long time and accumulating heat from the abdomen, the temperature rises, the use of an electric blanket that produces a temperature higher than the body temperature, a hood, hot water bottle, etc. In the case of sleeping together.

  For this reason, in determining the representative temperature T3 as an index of basal body temperature fluctuation, the control unit 6 excludes the temperature detection data D1 and D2 from the candidates when D1 <D2, and the highest temperature detection data D1. The value is determined as the representative temperature T3 of the day. Since the body surface temperature detection data D1 other than the maximum value is considered to have been affected by the external cooling factor, it is assumed that the casing 2 reflects the deep body temperature under the best conditions when the sensor device 1 is mounted. The highest possible value is determined as the representative temperature T3, and body temperature data D3 corresponding to the representative temperature T3 is stored in the storage unit 7. The body temperature data D3 may be the representative temperature T3 itself or the difference value between the reference temperature numerical value T0 and the temperature T3, similarly to the temperature detection data D1 and D2.

  Reference numeral 11 denotes a display unit comprising a liquid crystal screen or the like provided on the back side of the casing 2, and the display unit 11 is connected to the control unit 6 and displays, for example, the driving state of the control unit 6. Further, the display unit 11 constitutes a transfer means for transferring the body surface temperature detection data D1, the outside air temperature detection data D2 and the body temperature data D3 stored in the storage unit 7 to an external processing device 13 which will be described later. By operating, a two-dimensional code such as a QR code (registered trademark) is displayed. Here, the two-dimensional code includes information on the transmission destination address of data such as one day (one night) of data D1 to D3 and URL (Uniform Resource Locator) stored in the storage unit 7. For this reason, the person H to be measured reads information in the two-dimensional code into the mobile phone PT by using the mobile phone PT or the like having a two-dimensional code reading function. As a result, the person under test H accesses the external processing device 13 via the communication network such as the Internet and transfers data D1 to D3 to the processing device 13 as shown in FIG. be able to.

  Further, the person H to be measured may input the menstrual start date data by operating the switch unit 9 of the sensor device 1. In this case, the measurement subject H transfers the menstrual start date data to the processing device 13 by performing operations of displaying, reading, and transmitting the two-dimensional code in the same manner as described above using the sensor device 1 and the mobile phone PT. be able to.

  The transfer means uses a two-dimensional code display by the display unit 11. However, the present invention is not limited to this, and a connection portion such as a connector for connecting the control unit 6 and the cellular phone PT using a wired system by cable connection or a wireless system using infrared or Bluetooth (registered trademark) is provided. The transfer unit may be constituted by the connection unit. Further, for example, the body temperature data D3 and the menstrual start date may be directly input by accessing the processing device 13.

  Reference numeral 12 denotes a clip as a mounting means for attaching the casing 2 to the person H to be measured. The clip 12 is located on the center side of the casing 2 and covers the surface of the casing 2, and the tip of the clip 12 becomes a free end on the casing 2. It is pressed elastically. Further, an opening 12A that penetrates the clip 12 in the thickness direction is provided at a position corresponding to the display unit 11 in the clip 12. Thereby, the display part 11 is visible through the opening part 12A. And clothes etc. can be clamped between the clip 12 and the casing 2. For this reason, as shown in FIG. 1, the clip 12 fixes the sensor device 1 to the abdomen of the person H to be measured by sandwiching underwear such as shorts.

  The sensor device 1 is not limited to the abdomen of the person to be measured H, and may be configured to be fixed to the chest of the person to be measured H, for example. In this case, the clip 12 is attached to an underwear or the like worn at bedtime.

  As shown in FIG. 5, reference numeral 13 denotes a processing device that estimates whether the measurement subject H is in a high temperature period or a low temperature period using body temperature data D3 measured by the sensor device 1. Includes a cycle average temperature calculating means, an average menstrual cycle days specifying means, a transition time specifying means, a women's ability index calculating means, a display means and the like. The processing device 13 is configured by, for example, a server computer and has a storage circuit (not shown) including a ROM, a RAM, and the like.

  Then, as shown in FIG. 7, the processing device 13 performs a hormone balance estimation process using the body temperature data D3, and the measurement subject H is at a high temperature for a plurality of days (for example, 6 months) when the body temperature data D3 is measured. Estimate whether the state is in the cold or cold period.

  The processing device 13 is not limited to using the body temperature data D3 transferred from the sensor device 1. The processing device 13 obtains body temperature data D3 (representative temperature data) based on the body surface temperature data group DG1 and the outside air temperature data group DG2 of the day by performing the same processing as the control unit 6 of the sensor device 1, for example. May be. Further, it is preferable that the processor 13 stores body temperature data D3 for a plurality of cycles, but it is not always necessary to store a plurality of cycles, and body temperature data D3 for at least one cycle is stored. That's fine.

  The hormone balance estimation apparatus according to the present embodiment has the above-described configuration. Next, a hormone balance estimation process will be described with reference to FIG.

  Here, when the person H to be measured transfers the daily body temperature data D3 from the sensor device 1 to the processing device 13, the processing device 13 has a plurality of cycles (n cycles) in advance as shown in FIG. It is assumed that body temperature data D3 is accumulated as a body temperature data series S0. And the processing apparatus 13 starts the hormone balance estimation process mentioned later by receiving the request | requirement instruction | command etc. from the to-be-measured person H. FIG.

  Further, here, the case where the transition period from the low temperature period to the high temperature period is specified as an example for the menstrual cycle MC1 that ended immediately before will be described, but the present invention is not limited to this, for example, more than the menstrual cycle MC1 The same applies to the previous menstrual cycles MC2 to MCn.

  First, in step 1, a menstruation start date is input. The menstruation start date may be input in advance by the sensor device 1 or the like, stored in the storage circuit, or newly input. Further, the memory circuit of the processing device 13 stores a plurality of menstrual start dates Ds0 to Dsn within a period in which the body temperature data D3 is accumulated. At this time, the menstrual start date Ds0 represents the latest menstrual start date, and the menstrual start date Dsn represents the oldest menstrual start date.

  In the subsequent step 2, missing data is supplemented from the accumulated body temperature data D3 for n cycles. For example, missing data is generated on the day when the measurement subject H forgets to measure or the day when the error flag is input as the body temperature data D3 due to the lack of measurement state. For this reason, when this missing data occurs, linear interpolation is performed using the body temperature data D3 of the previous day and the later day, and the missing data is supplemented. Thereby, the body temperature data series S0 is converted into a body temperature data series S1 supplemented with missing data. In addition, supplementation of missing data is not limited to linear interpolation, and may be supplemented using various interpolation processes.

  Next, in step 3, as shown in FIG. 8, the average menstrual cycle days specifying process for specifying the average menstrual cycle days Nm is performed. In step 4, as shown in FIG. 9, in the menstrual cycle MC1 in which the low temperature period and the high temperature period are determined, a cycle average temperature calculation process is performed in which the body temperature data D3 is averaged to calculate the cycle average temperature Tm.

  In step 5, as shown in FIG. 10, the low temperature period and the high temperature period in the menstrual cycle MC1 are determined using the cycle average temperature Tm calculated in step 4. In step 6, as shown in FIG. 11, a female power index calculation process for calculating a female power index WP according to the hormone balance is performed.

  Finally, in step 7, the determination result of the low temperature period and the high temperature period specified in step 5 and the calculation result of the women's power index WP calculated in step 6 are displayed on the screen of the measured person H's mobile phone PT, computer, etc. indicate.

  Next, the average menstrual cycle days specifying process in step 3 will be described with reference to FIG.

  In step 11, the self-reporting cycle days N0 is input. The self-report cycle days N0 may be input in advance by the sensor device 1 or the like, stored in the storage circuit, or newly input.

  In step 12, with the menstrual cycle MC1 that specifies the transition period from the low temperature period to the high temperature period as a reference, the latest three menstrual cycles MC1, the previous menstrual cycle MC2, and the previous menstrual cycle MC3 (menstrual periods). The menstrual cycle days Nmc1 to Nmc3 of the cycles MC1 to MC3) are calculated. Specifically, the menstrual start dates Ds0 to Ds3 for the latest three cycles are read, and the number of days from the day before the menstrual start date Ds0 to the menstrual start date Ds1 is calculated as the first menstrual cycle day number Nmc1. Similarly, the number of days from the day before the menstrual start date Ds1 to the menstrual start date Ds2 is calculated as the second menstrual cycle day Nmc2, and the days from the day before the menstrual start date Ds2 to the menstrual start date Ds3 are calculated as the third menstrual cycle days. Calculate as Nmc3.

  In step 13, it is determined whether or not each menstrual cycle days Nmc1 to Nmc3 are within the normal range based on the self-reported cycle days N0. Specifically, it is normal when the menstrual cycle days Nmc1 to Nmc3 are within the range of 6 days before and after the self-reported cycle days N0 (N0-6 days ≦ Nmc1 to Nmc3 ≦ N0 + 6 days). When it becomes other values, it is determined that it is abnormal.

  Here, the normal range was defined as the range of 6 days before and after the self-reporting cycle number N0. However, the standard of the normal range is not limited to this. For example, it may be in the range of 2 to 8 days before and after the self-reporting cycle days N0, and about 10 to 30% before and after the self-reporting cycle days N0. In other words, it can be set as appropriate in consideration of individual differences of the person to be measured H, measurement conditions, and the like.

  Next, in step 14, it is determined whether or not all the menstrual cycle days Nmc1 to Nmc3 for the latest three cycles are normal. If “YES” is determined in step 14, since the menstrual cycle days Nmc1 to Nmc3 are all within the normal range, the process proceeds to step 15 and the menstrual cycle days Nmc1 to Nmc3 for the latest three cycles are used. The average menstrual cycle days Nm is calculated. Specifically, the average menstrual cycle days Nm is calculated from the average value of normal menstrual cycle days Nmc1 to Nmc3.

  On the other hand, when “NO” is determined in step 14, the process proceeds to step 16 to determine whether or not all the menstrual cycle days Nmc1 to Nmc3 for the latest three cycles are abnormal. If “YES” is determined in step 16, since the menstrual cycle days Nmc1 to Nmc3 are all out of the normal range, the process proceeds to step 17 to calculate the self-reported cycle days N0 as the average menstrual cycle days Nm. To do.

  If "NO" is determined in the step 16, the process proceeds to a step 18 to calculate the average menstrual cycle days Nm using the normal menstrual cycle days Nmc1 to Nmc3 and the self-reported cycle days N0. For example, when two menstrual cycle days Nmc1 and Nmc2 are normal and one menstrual cycle day Nmc3 is not normal, average two menstrual cycle days Nmc1 and Nmc2 and one self-reported cycle day N0. The number of cycle days Nm is calculated. In addition, when one menstrual cycle day Nmc1 is normal and two menstrual cycle days Nmc2 and Nmc3 are not normal, one menstrual cycle day Nmc1 and one self-reported cycle day N0 are averaged to obtain an average menstrual cycle The number of days Nm is calculated.

  Thereby, only the specific menstrual cycle days are not used, and the bias etc. based on the menstrual cycle days can be reduced. When steps 15, 17, and 18 are completed, the process returns.

  When a value after the decimal point is generated in the average menstrual cycle days Nm, the average menstrual cycle days Nm is set to a natural number based on criteria such as rounding up, rounding down, and rounding.

  In addition, the above average menstrual cycle days specifying process is performed on the basis of the latest three menstrual cycles MC1 to MC3 in order to specify the transition period from the low temperature period to the high temperature period for the menstrual cycle MC1 that has just ended. The menstrual cycle days Nm were calculated. However, the present invention is not limited to this. For example, when the transition time is specified for the past mth (m <n) menstrual cycle MCm, the menstrual cycle MCm, the previous menstrual cycle MCm + 1, and the next menstrual cycle. The average menstrual cycle days Nm may be calculated based on the menstrual cycles MCm-1 to MCm + 1 for three cycles before and after MCm-1. Further, the average menstrual cycle days Nm is calculated based on the menstrual cycles MCm-2 to MCm for the immediately following three periods comprising the menstrual cycle MCm, the next menstrual cycle MCm-1 and the subsequent menstrual cycle MCm-2. Also good.

  Next, the periodic average temperature calculation process in step 4 will be described with reference to FIG.

  In step 21, the current menstrual cycle days Nmc1 and the average menstrual cycle days Nm are compared. Specifically, it is determined whether the menstrual cycle days Nmc1 is equal to or less than the average menstrual cycle days Nm.

  If "YES" is determined in the step 21, the process proceeds to a step 22, where the body temperature data D3 of the entire cycle is averaged for the menstrual cycle MC1, the cycle average temperature Tm is calculated, and the process returns.

  On the other hand, if “NO” is determined in step 21, the process proceeds to step 23, where the body temperature data D 3 for the average menstrual cycle days Nm from the last day of the cycle (the day before the menstrual start date Ds 0) is averaged. Then, the cycle average temperature Tm is calculated and the process returns.

  For example, the ovulation of the subject H may be delayed due to stress or the like, and the low temperature period (follicular period) may be prolonged, and the low temperature period may be longer than normal. Thus, it is considered that the menstrual cycle days Nmc1 are longer than the average menstrual cycle days Nm in many cases because the low temperature period is prolonged. In this case, since the average value of the body temperature data D3 for the entire cycle is low, it tends to be an inappropriate reference value for determining the transition from the low temperature period to the high temperature period.

  Therefore, the average menstrual cycle days Nm of the person H to be measured is calculated in advance, and when the menstrual cycle days Nmc1 exceeds the average menstrual cycle days Nm, body temperature data D3 of the average menstrual cycle days Nm from the last cycle date is obtained. A period average temperature Tm is calculated by averaging. As a result, it is possible to prevent the cycle average temperature Tm from excessively decreasing and to omit the body temperature data D3 near the menstrual start date Ns1 that tends to become unstable when calculating the cycle average temperature Tm. As a result, it is possible to prevent a decrease in the cycle average temperature Tm associated with the prolonged low temperature period, and it is possible to calculate a cycle average temperature Tm appropriate as a reference for determining whether or not the high temperature period.

  Next, the low temperature period and high temperature period determination processing in step 5 will be described with reference to FIG.

  In step 31, the body temperature data D3 and the cycle average temperature Tm are compared within a predetermined period. Here, as the predetermined period, for example, as a period in which the transition from the low temperature period to the high temperature period is likely to occur in the menstrual cycle, the menstruation start date that is the 12th day after the menstrual start date Ds1 and is the last day of the cycle Within 16 days from the previous day of Ds0 is set. This is because the Japanese Society of Obstetrics and Gynecology sets the normal range of follicular phase (cold phase) days to 17.9 days ± 6.2 days, and the normal range of luteal phase (high temperature phase) days to 12.7 days ± 1. It is based on what is defined as 6 days. That is, the normal low temperature period exceeds at least 12 days, and the normal high temperature period is considered to be within 16 days.

  Note that the predetermined period for grasping the appropriate transition time is not limited to the above. The predetermined period may be, for example, 10 to 14 days after the menstrual start date Ds1, or may be within 14 to 18 days from the last day of the cycle. That is, the predetermined period can be appropriately set in consideration of individual differences of the person being measured H.

  Next, in step 32, it is determined whether the body temperature data D3 has exceeded the cycle average temperature Tm for two days or more. If "YES" is determined in the step 32, the process proceeds to the steps 33 and 34, the transition period between the high temperature period and the low temperature period is specified, and the high temperature period and the low temperature period are determined. Specifically, it is determined that the body temperature data D3 has shifted from the low temperature period to the high temperature period between the first day and the previous day when the body temperature data D3 exceeds the cycle average temperature Tm for two or more days.

  Therefore, in step 33, the period from the first day to the last day of the cycle when the body temperature data D3 exceeds the cycle average temperature Tm for two or more days is determined as the high temperature period. At this time, the number of days in the high temperature period (number of days in the high temperature period NH) is also calculated. In step 34, the period from the menstrual start date Ds1 to the day before the high temperature period is determined as the low temperature period. At this time, the number of days in the low temperature period (number of days in the low temperature period NL) is also calculated. Then, when step 34 ends, the process returns.

  On the other hand, when “NO” is determined in Step 32, the process proceeds to Step 35, and it is determined that the process has not shifted to the high temperature period. At this time, the low temperature period days NL and the high temperature period days NH are not calculated, and the process returns.

  Next, the female power index calculation process in step 6 will be described with reference to FIG.

  In step 41, it is determined whether or not there has been a transition to a high temperature period. When it is determined “YES” in step 41, the processing after step 43 described later is performed to calculate the female strength index WP. On the other hand, when it is determined “NO” in step 41, since it did not shift to the high temperature period, the flow shifts to step 42, and the female power index WP is not calculated and the process returns without evaluation.

  In step 43, the first index P1 is calculated based on the low temperature period days NL. Specifically, based on the normal range of follicular days defined by the Japan Society of Obstetrics and Gynecology, if the low temperature period NL is within the range of 11 to 24 days, it is evaluated as normal, and the first index P1 A first reference point P10 (P10> 0) having a positive value determined in advance is assigned (P1 = P10). On the other hand, when the low temperature period number NL is 25 days or more, the points are deducted, and the low temperature period excess index P11 is calculated based on the following equation (1). At this time, a value obtained by subtracting the low temperature period excess index P11 from the first reference point P10 is given to the first index P1 (P1 = P10−P11). In the equation (1), CL is a predetermined coefficient (constant).

  Next, in step 44, the second index P2 is calculated based on the high temperature period days NH. Specifically, based on the normal range of luteal phase days set by the Japan Society of Obstetrics and Gynecology, if the high temperature period NH is within the range of 11 to 16 days, it is evaluated as normal, and the second index P2 A second reference point P20 (P20> 0) having a positive value determined in advance is assigned (P2 = P20). On the other hand, when the high temperature period number NH is 10 days or less, the hot point shortening index P21 is calculated based on the following equation (2). At this time, a value obtained by subtracting the high temperature period shortening index P21 from the second reference point P20 is given to the second index P2 (P2 = P20−P21). In Equation 2, CH is a predetermined coefficient (constant).

  Next, in step 45, the body temperature data D3 of the whole low temperature period is averaged to calculate the low temperature average temperature TmL. In step 46, the body temperature data D3 of the entire high temperature period is averaged to calculate the high temperature average temperature TmH.

  In step 47, the temperature difference ΔT is calculated by subtracting the low temperature average temperature TmL from the high temperature average temperature TmH. In the following step 48, a third index P3 is calculated based on the temperature difference ΔT. Generally, the temperature difference between the low temperature period and the high temperature period is said to be 0.3 ° C. to 0.5 ° C. Therefore, if the temperature difference ΔT is 0.5 ° C. or more, it is evaluated as normal. A third reference point P30 (P30> 0) having a positive value determined in advance as an index P3 is assigned (P3 = P30). On the other hand, when the temperature difference ΔT is less than 0.5 ° C., the temperature difference ΔT is subject to deduction, and the two-phase difference insufficiency index P31 is calculated on the basis of the following formula 3. At this time, a value obtained by subtracting the two-phase difference insufficiency index P31 from the third reference point P30 is given to the third index P3 (P3 = P30−P31). In the equation (3), Cd is a predetermined coefficient (constant).

  Note that the two-phase difference insufficiency index P31 is calculated based on the case where the temperature difference ΔT is 0.5 ° C., but the present invention is not limited to this, and is, for example, 0.3 which is a lower limit of a general normal range. It may be calculated on the basis of ° C, and may be set to an appropriate value between 0.3 ° C and 0.5 ° C. Since the temperature difference ΔT easily reflects the effect of luteinizing hormone, the third index P3 corresponding to luteinizing hormone can be calculated by increasing the reference value. The reference value of the temperature difference ΔT can be appropriately set in consideration of the detection accuracy of the sensor device 1 and the like.

  Finally, in step 49, the female power index WP, which is an index corresponding to the state of hormone balance, is calculated using the first to third indices P1 to P3. This female power index WP is an index for evaluating the entire menstrual cycle MC1 of the person H to be measured. Specifically, as shown in the following equation (4), the female power index WP is calculated by adding the first to third indices P1 to P3. At this time, in order for the subject H to easily grasp the hormone balance state, the female power index WP is a value obtained by adding, for example, 10 to the first to third reference points P10 to P30 considered to be in a good state. The low temperature period excess index P11, the high temperature period shortening index P21, and the two-phase deficiency index P31 are sequentially subtracted from the maximum score or 100 points. The coefficients CL, CH, and Cd are appropriately set in consideration of the effects of the low temperature period excess index P11, the high temperature period shortening index P21, and the two-phase difference insufficiency index P31 on the hormone balance. When step 49 ends, the process returns.

  When the low temperature period excess index P11, the high temperature period shortening index P21, and the two-phase difference insufficiency index P31 become large, the female strength index WP becomes a negative value, but for example, it is a negative perfect score such as −10 points or −100 points. It may be saturated or saturated at 0 point. In addition, when calculating only the women's power index WP, it is not always necessary to divide into the first to third reference points P10 to P30. P11, high temperature period shortening index P21, and two-phase difference index P31 may be subtracted.

  In the present embodiment, the hormone balance estimation process described above is performed. Next, the estimation result of the hormone balance state of the person H to be measured when this process is used will be described.

  First, the processing device 13 supplements missing data to a body temperature data series S0 composed of body temperature data D3 for six months accumulated in advance. Next, the average menstrual cycle days Nm near the menstrual cycle MC1 is specified using the body temperature data series S1 supplemented with the missing data, and the cycle average temperature Tm is calculated based on the average menstrual cycle days Nm. Then, the transition period from the low temperature period to the high temperature period is specified using the cycle average temperature Tm, and the low temperature period days NL, the high temperature period days NH, the low temperature period average temperature TmL, and the high temperature period average temperature TmH are obtained. Thereafter, based on the low temperature period days NL, the high temperature period days NH, and the temperature difference ΔT between the low temperature average temperature TmL and the high temperature average temperature TmH, the female power index WP corresponding to the hormone balance state is calculated.

  Finally, the determination result of the specified low temperature period and high temperature period, and the calculation result of the female power index WP are displayed on the screen of the person H to be measured, such as the mobile phone PT or the computer.

  At this time, the processing device 13 displays the body temperature data series S1 as a set of bar graphs of the body temperature data D3. Specifically, as shown in FIGS. 12 to 14, a series of body temperature data D3 corresponding to the menstrual cycle MC1 is represented by a bar graph of daily body temperature data D3, and the bar graph is displayed in different colors in the low temperature period and the high temperature period. It is divided and displayed. As a method of color classification, any of the three attributes of hue, hue, lightness, and saturation may be different, or these may be combined and different. For example, when the bar graph in the low temperature period is displayed in a cool color (for example, blue, green, etc.) and the bar graph in the high temperature period is displayed in a warm color (red, yellow, etc.), the difference between the two is clarified and the set of bar graphs is visually observed This makes it easier to match the low temperature and high temperature periods, making it easier to grasp the low temperature and high temperature periods.

  In addition, auxiliary lines of the cycle average temperature Tm, the low temperature average temperature TmL, and the high temperature average temperature TmH are also displayed so that the measurement subject H can easily grasp the temperature change. Further, around the bar graph, there are menstrual cycle days Nmc1, low temperature days NL, high temperature days NH, cycle average temperature Tm, low temperature average temperature TmL, high temperature average temperature TmH, temperature difference ΔT between average temperatures TmL and TmH, The first to third indices P1 to P3 and the female power index WP are displayed together.

  12 to 14, the first reference point P10 is set to 2 points, the second reference point P20 is set to 5 points, and the third reference point P30 is set to 3 points. The case where it evaluated is illustrated. At this time, the coefficient CL is 3 days, the coefficient CH is 1 day, and the coefficient Cd is 0.1 ° C. If the temperature difference ΔT is considered to be in the normal range up to 0.3 ° C., it is considered that the hormone balance is relatively good up to about 8 points.

  FIG. 12 illustrates a case where the hormone balance is considered to be relatively good. At this time, both the low temperature period days NL and the high temperature period days NH are 11 days, which are within the normal range. For this reason, the first and second indices P1 and P2 are reference points P10 and P20, respectively. Since the temperature difference ΔT is also close to 0.5 ° C., the third index P3 is also close to the reference point P30. For this reason, the women's power index WP is also close to 9.5 points.

  FIG. 13 illustrates a case where the temperature difference ΔT is small. At this time, since the low temperature period NL is 20 days within the normal range, the first index P1 is the reference point P10. On the other hand, the number of high temperature days NH is one day less than the normal range and 10 days, and the second index P2 is deducted by one point from the reference point P20 to be four points. Further, since the temperature difference ΔT is about 0.1 ° C., the third index P3 is decremented by 4 points from the reference point P30 to become −1 point. For this reason, the women's power index WP is reduced by 5 points from the full score to 5 points.

  FIG. 14 illustrates a case where the low temperature period lasts for a long time. At this time, since the high temperature period NH is 11 days within the normal range, the second index P2 is the reference point P20. On the other hand, the low temperature period NL is 35 days, exceeding the upper limit of the normal range of 24 days. Therefore, the first index P1 is reduced by 3.7 points from the reference point P10 to -1.7 points. Further, since the temperature difference ΔT is about 0.28 ° C., the third index P3 is reduced by 2.2 points from the reference point P30 to 0.8 points. For this reason, the women's power index WP is 4.1 points, which is 5.9 points lower than the full score.

  Thus, since the female power index WP changes according to the low temperature period days NL, the high temperature period days NH, and the temperature difference ΔT, the state of the hormone balance can be grasped by referring to the female power index WP. In addition to this, when the female power index WP decreases, the factors that disturb the hormone balance state can be examined in detail by referring to the first to third indices P1 to P3 together. Also, as shown in FIGS. 13 and 14, the low temperature period days NL, the high temperature period days NH, and the temperature difference ΔT that are out of the normal range are alerted by displaying different from normal. May be.

  Thus, according to the present embodiment, when the body temperature data D3 exceeds the cycle average temperature Tm for two days or more in the menstrual cycle MC1, the processing device 13 shifts from the low temperature period to the high temperature period. For example, even if there are days when the body temperature data D3 becomes high during the low temperature period, the transition to the high temperature period will not be mistaken as long as the high temperature days do not occur continuously. . For this reason, the transition time from the low temperature period to the high temperature period can be appropriately specified, and the hormone balance state can be appropriately grasped.

  Even in the prior art, it is possible to grasp the fluctuation of basal body temperature to some extent, but if no increase of 0.3 ° C or more is observed at a stretch from the low temperature period, it can be distinguished whether it is in a high temperature state. difficult. Furthermore, in grasping the biphasicity, there is a problem that it is necessary to capture a subtle temperature change of 0.3 ° C. rise, and to eliminate fever due to diseases, influence of measurement environment, and data fluctuation due to measurement deficiencies. .

  On the other hand, in the present embodiment, the transition to the high temperature period is specified based on whether or not the body temperature data D3 has exceeded the cycle average temperature Tm continuously for two days or more in the menstrual cycle MC1, so for example II in FIG. Even when the body temperature data D3 gradually increases from the low temperature period as in the case of the mold, the transition to the high temperature period can be quickly identified. For this reason, compared with the case where the transition to the high temperature period is specified based on the temperature of the high temperature period, for example, the transition time to the high temperature period is not delayed, and the transition to the high temperature period can be appropriately grasped.

  Further, the processing apparatus 13 sets the menstrual cycle MC1 as a predetermined period in which the transition from the low temperature period to the high temperature period is likely to occur, for example, from the menstruation start date Ds1 on and after the 12th day, and the menstruation start that is the last day of the cycle. The transition time is specified within 16 days from the day before Ds0. For this reason, an inappropriate period such as the vicinity of the menstrual start date Ds1 can be excluded as the transition time, and the transition time can be appropriately grasped.

  Further, since the processing device 13 calculates the cycle average temperature Tm based on the average menstrual cycle days Nm, for example, the cycle average temperature Tm is not biased toward the low temperature side or the high temperature side, and according to the physical condition of the person H to be measured. Values can be calculated.

  Moreover, since the processing device 13 determines that the menstrual cycle days Nmc1 are within a predetermined normal range with reference to the self-reported cycle days N0 as a normal menstrual cycle, for example, the low temperature period is lower than the normal state. Longer periods of menstrual cycle Nmc1 greatly deviate from self-reported cycle days N0 can be excluded. For this reason, the processing apparatus 13 can calculate the average menstrual cycle days Nm based on the number of days in a normal menstrual cycle.

  Furthermore, since the processing device 13 calculates the average menstrual cycle days Nm based on the number of days in the menstrual cycle determined to be normal among the menstrual cycles MC1 to MC3 for the latest three cycles, the time when the subject H is in close physical condition The average menstrual cycle days Nm can be calculated based on the body temperature data D3. Further, since the processing device 13 calculates the average menstrual cycle days Nm using the normal menstrual cycle days and the self-reported cycle days N0, it calculates the average menstrual cycle days Nm in the normal state of the subject H. Can do.

  When the menstrual cycle days Nmc1 is equal to or less than the average menstrual cycle days Nm, the processing device 13 calculates the cycle average temperature Tm by averaging the body temperature data D3 of the entire menstrual cycle. At this time, it is considered that the lengths of the low temperature period and the high temperature period are within an appropriate range in calculating the cycle average temperature Tm. Therefore, the processing device 13 can calculate an appropriate cycle average temperature Tm in the menstrual cycle MC1 by averaging the body temperature data D3 of the entire menstrual cycle.

  On the other hand, when the number of days of the menstrual cycle MC1 (menstrual cycle days Nmc1) for specifying the transition time exceeds the average menstrual cycle days Nm, the processing device 13 counts the body temperature data D3 of the average menstrual cycle days Nm counted from the last day of the cycle. The average period temperature Tm is calculated by averaging. At this time, there is a possibility that the low temperature period is excessively long in calculating the cycle average temperature Tm. For this reason, the processor 13 can calculate an appropriate cycle average temperature Tm in the menstrual cycle MC1 by averaging the body temperature data D3 of the average menstrual cycle days Nm counted from the last day of the cycle.

  Further, since the processing device 13 displays the bar graph of the body temperature data D3 in different colors in the low temperature period and the high temperature period, the person to be measured H can easily perform the low temperature period and the high temperature period simply by looking at the set of bar graphs. Can be recognized.

  Further, the processing device 13 calculates the female power index WP based on the low temperature period days NL, the high temperature period days NH, and the temperature difference ΔT between the low temperature period average temperature TmL and the high temperature period average temperature TmH. At this time, the low temperature period days NL, the high temperature period days NH, and the temperature difference ΔT are all three factors that are easily affected by the hormone balance, and therefore the female power index WP can be calculated as an index according to the hormone balance. it can. For this reason, it is possible to appropriately grasp the hormone balance state using the female strength index WP.

  Next, a second embodiment of the present invention is shown in FIG. The feature of the second embodiment is that a high temperature period temperature excess index is calculated by integrating a portion where the body temperature data exceeds the cycle average temperature during the high temperature period, and a female power index is calculated using the high temperature period temperature excess index. It is to have done. In the second embodiment, the same components as those in the first embodiment are denoted by the same reference numerals, and the description thereof is omitted.

  Also in the second embodiment, the sensor device 1 and the processing device 13 are substantially the same as those in the first embodiment. However, the female power index calculation process is different from the first embodiment in that the second index is calculated by executing step 51 in FIG. 15 instead of step 44 in FIG. .

  In this step 51, the second index P2 is calculated based on the body temperature data D3 in the high temperature period and the cycle average temperature Tm. Specifically, a high temperature period temperature excess index P22 consisting of an integrated value obtained by integrating the excess of the body temperature data D3 with respect to the cycle average temperature Tm in the entire high temperature period is calculated, and a predetermined coefficient C is added to the high temperature period temperature excess index P22. To calculate the second index P2 (P2 = C × P22). The coefficient C is appropriately set in consideration of the influence of the high temperature period temperature excess index P22 on the hormone balance. In step 49, the female power index WP is calculated by adding the first to third indices P1 to P3.

  Thus, the second embodiment can provide the same effects as those of the first embodiment. In the second embodiment, since the female power index WP is calculated using the high temperature period temperature excess index P22, the temperature increase in the high temperature period is easily reflected in the female power index WP, and the state of progesterone is grasped. It becomes easy to do.

  Next, a third embodiment of the present invention is shown in FIGS. The feature of the third embodiment is that the female power index is calculated only when the average temperature in the low temperature period is lower than the average temperature in the high temperature period, and whether the number of days in the menstrual cycle is shorter than a predetermined number of days This is because the women's strength index is calculated based on whether or not. In the third embodiment, the same components as those in the first embodiment are denoted by the same reference numerals, and the description thereof is omitted.

  Also in the third embodiment, the sensor device 1 and the processing device 13 are substantially the same as those in the first embodiment. However, in the women's strength index calculation process, step 61 is executed between step 47 and step 48 to determine the temperature difference ΔT, and step 62 is executed after step 48 based on the menstrual cycle days Nmc1. The fourth index P4 is calculated, and step 63 is executed to calculate the female power index WP based on the first to fourth indices P1 to P4, which is different from the first embodiment. .

  Specifically, in step 61, it is determined whether or not the temperature difference ΔT obtained by subtracting the low temperature average temperature TmL from the high temperature average temperature TmH is a positive value (ΔT> 0). When it is determined as “NO” in step 61, it is highly possible that the body temperature data D3 has exceeded the cycle average temperature Tm for two or more days, but has not shifted to the high temperature period. For this reason, the process proceeds to step 42, and the female power index WP is not calculated, and the process returns with no evaluation.

  On the other hand, if “YES” is determined in the step 61, the process proceeds to the step 48, and as described above, the third index P3 is calculated based on the temperature difference ΔT. When step 48 is completed, the routine proceeds to step 62.

  In step 62, a fourth index P4 is calculated based on the menstrual cycle days Nmc1. Specifically, it is determined whether or not the menstrual cycle days Nmc1 is shorter than, for example, 25 days as the lower limit number of days considered normal (Nmc1 <25 days). If the menstrual cycle days Nmc1 is 25 days or more, it is evaluated as normal, and a 0 is assigned as the fourth index P4 without any addition or deduction of the female strength index WP (P4 = 0) .

  On the other hand, when the menstrual cycle days Nmc1 is less than 25 days, it is determined whether the low temperature period days NL and the high temperature period days NH are both in the normal range. That is, it is determined whether the low temperature period number NL is in the range from 11 days to 24 days and the high temperature period number NH is in the range from 11 days to 16 days. When at least one of the low temperature period NL and the high temperature period NH is outside the normal range, the first index P1 or the second index P2 is subject to deduction, and is based on the menstrual cycle days Nmc1 No deduction is performed, and 0 is assigned as the fourth index P4 (P4 = 0). On the other hand, when both the low temperature period days NL and the high temperature period days NH are in the normal range, the first index P1 and the second index P2 are not deducted, so the deduction based on the menstrual cycle days Nmc1 Therefore, a predetermined deduction point value (−P40 <0) is given to the fourth index P4 (P4 = −P40).

  Finally, in step 63, the female power index WP, which is an index corresponding to the state of hormone balance, is calculated using the first to fourth indices P1 to P4. Specifically, as shown in the following equation (5), the female power index WP is calculated by adding the first to fourth indices P1 to P4. At this time, in order for the subject H to easily grasp the hormone balance state, the female power index WP is a value obtained by adding, for example, 10 to the first to third reference points P10 to P30 considered to be in a good state. The low temperature period excess index P11, the high temperature period shortening index P21, and the two-phase deficiency index P31 are sequentially subtracted from the maximum score or 100 points. When a deduction value (-P40) is given to the fourth index P4, the female power index WP is lowered by this deduction value (-P40). When step 63 ends, the process returns.

  FIGS. 17 to 19 show examples of display screens for hormone balance estimation results according to the fourth embodiment. At this time, the first to third reference points P10 to P30 and the coefficients CL, CH, and Cd are set to the same values as in the first embodiment, and are evaluated with a maximum of 10 points. The deduction point (-P40) is set to -1.

  FIG. 17 illustrates a case where the temperature difference ΔT has a negative value. At this time, for example, the body temperature data D3 exceeds the cycle average temperature Tm continuously for two days or more on April 29 and April 30, but the temperature difference ΔT is a negative value, and the temperature shifts to the high temperature period. There is a high possibility that it was not. For this reason, since it is unclear whether the first index P1 and the second index P2 are appropriate values, the evaluation of the female power index WP is not performed. In addition, since the presence or absence of biphasic properties is unknown, all bar graphs are displayed in the same manner as in the low temperature period.

  FIG. 18 illustrates a case where the temperature difference ΔT is a positive value but is 0.2 ° C. or lower (ΔT ≦ 0.2 ° C.). At this time, since the biphasic property is considered to be insufficient, the display of the bar graph in at least one of the low temperature period and the high temperature period is such that the temperature difference ΔT is larger than 0.2 ° C. (ΔT> 0.2 ° C. ) Make it different. Specifically, when the temperature difference ΔT is larger than 0.2 ° C., the bar graph in the high temperature period is displayed in orange, for example, and when the temperature difference ΔT is 0.2 ° C. or less, the bar graph in the high temperature period is displayed in yellow, for example. To do. This makes it easier for the measurement subject to grasp that the biphasic property is insufficient.

  FIG. 18 and FIG. 19 illustrate a case where the menstrual cycle days Nmc1 is less than 25 days. In the case of FIG. 18, the menstrual cycle days Nmc1 is 24 days. At this time, the low temperature period days NL is 11 days and the high temperature period days NH is 13 days, both of which are within the normal range. For this reason, -1 is assigned to the fourth index P4 as a deduction point value. As a result, the female power index WP is reduced by the deduction point value to 5.2 points as compared with the first embodiment.

  In the case of FIG. 19, the menstrual cycle days Nmc1 is 23 days, the low temperature period days NL is 12 days, and the high temperature period days NH is 11 days. In this case, both the low temperature period days NL and the high temperature period days NH are within the normal range, but the menstrual cycle days Nmc1 are shorter than the normal 25 days. For this reason, -1 is assigned to the fourth index P4 as a deduction point value. However, in the case of FIG. 19, although the points are deducted by the fourth index P4, since the first to third indices P1 to P3 are full marks, the female power index WP is 9 points.

  Thus, the third embodiment can provide the same operational effects as those of the first embodiment. In the third embodiment, when the temperature difference ΔT obtained by subtracting the low temperature average temperature TmL from the high temperature average temperature TmH is 0 or less (ΔT ≦ 0), the female power index WP is not calculated, and the temperature difference ΔT is positive. When the value (ΔT> 0), the female power index WP is calculated. Therefore, when the low temperature average temperature TmL is lower than the high temperature average temperature TmH, and the transition from the low temperature period to the high temperature period occurs reliably, the female power index WP can be calculated.

  Further, the female power index WP is calculated in consideration of whether or not the menstrual cycle days Nmc1 is shorter than the normal lower limit days. Here, even if the low temperature period days NL and the high temperature period days NH are in the normal range, if the number of days in the menstrual cycle is shorter than the number of days considered to be normal (for example, 25 days), there is a possibility that disorder of hormone balance has occurred. There is. For this reason, the female power index WP reflecting this point can be calculated, and the hormone balance can be appropriately grasped by the female power index WP.

  The third embodiment has been described by taking the case where it is applied to the first embodiment as an example, but may be applied to the second embodiment. Further, in the third embodiment, as shown in step 61 in FIG. 16, the female power index is calculated only when the average temperature in the low temperature period is lower than the average temperature in the high temperature period, and in FIG. As shown in steps 62 and 63, the female power index is calculated based on whether the menstrual cycle days are shorter than a predetermined number of days. However, the present invention is not limited to this, and only one of these two configurations may be executed. Specifically, step 61 in FIG. 16 may be omitted. Further, instead of steps 62 and 63 in FIG. 16, step 49 in FIG. 11 may be executed.

  Next, FIG. 20 and FIG. 21 show a fourth embodiment of the present invention. The feature of the fourth embodiment is that the ovulation period is estimated within a predetermined period centered on the day before the average high temperature period days from the next scheduled menstrual start date. In the fourth embodiment, the same components as those in the first embodiment are denoted by the same reference numerals, and the description thereof is omitted.

  Also in the fourth embodiment, the sensor device 1 and the processing device 13 are substantially the same as those in the first embodiment. However, the hormone balance estimation process is different from the first embodiment in that the ovulation period estimation process is executed in step 71 in FIG. This step 71 is executed between, for example, step 6 and step 7 and estimates the ovulation period based on the average number of high temperature days.

  Next, the estimation process of the ovulation period by step 71 is demonstrated, referring FIG.

  In step 72, the same processes as in steps 31 to 33 are executed for the latest three cycles, and the high temperature period days NH1 to NH3 for the latest three cycles are calculated. Specifically, it is determined whether or not the body temperature data D3 has exceeded the cycle average temperature Tm for the last 3 cycles (menstrual cycles MC1 to MC3) for 2 days or more, and the body temperature data D3 is the cycle average for 2 days or more. It is determined that the low temperature period has shifted to the high temperature period between the first day when the temperature Tm is exceeded and the previous day. For this reason, the period from the first day when the body temperature data D3 exceeds the cycle average temperature Tm for two or more days to the last day of the cycle is determined as the high temperature period, and the high temperature period days NH1 to NH3 are calculated. When the transition from the low temperature period to the high temperature period cannot be determined, the high temperature period days NH1 to NH3 are not calculated for the menstrual cycles MC1 to MC3.

  In the following step 73, it is determined whether or not all the high temperature periods NH1 to NH3 have been calculated. When it is determined as “YES” in step 73, since the high temperature days NH1 to NH3 are all calculated, the process proceeds to step 74, and the average is calculated using the high temperature days NH1 to NH3 for the latest three cycles. Calculate the number of days of high temperature NHm. Specifically, the average high temperature period NHH is calculated from the average value of the high temperature periods NH1 to NH3 (NH1 + NH2 + NH3) / 3.

  On the other hand, if “NO” is determined in step 73, the process proceeds to step 75, where it is determined whether or not all the high temperature periods NH 1 to NH 3 for the latest three cycles are not calculated. If “YES” is determined in step 75, it is considered that the transition from the low temperature period to the high temperature period cannot be determined, or the high temperature period days NH1 to NH3 are not calculated due to insufficient data accumulation. For this reason, the process proceeds to step 76, and the average high temperature period number NHm is set on the 13th, which is generally the number of days having high consistency with the ovulation period, as described later.

  If "NO" is determined in the step 75, the process shifts to a step 77 to calculate the average high temperature period number NHm using the calculated high temperature period number NH1 to NH3. Specifically, when only two values (for example, the high temperature period NH1 and the high temperature period NH2) are calculated among the high temperature days NH1 to NH3, the average high temperature is calculated based on the average value (for example, (NH1 + NH2) / 2). Calculate the number of days NHm. Further, when only one value (for example, the number of high temperature days NH1) is calculated among the high temperature days NH1 to NH3, the value (NH1) at this time is calculated as the average high temperature days NHM.

  Thereby, only the specific high temperature period days are not used, but the bias etc. based on the high temperature period days can be reduced.

  When a value after the decimal point is generated in the average high-temperature days NHH, the average high-temperature days NHH is set to a natural number based on criteria such as rounding up, rounding down, and rounding.

  In the above, the average number of high temperature days NHm was calculated based on the number of high temperature days NH1 to NH3 for the latest three cycles. However, the present invention is not limited to this, and the average high temperature days NHm may be calculated based on the number of high temperature days for the latest one cycle and the latest two cycles, and based on the high temperature days for the latest four cycles or more. The average number of high temperature days NHm may be calculated.

  When Steps 74, 76, and 77 are completed, the process goes to Step 78 to specify the next scheduled menstrual start date Ds. Specifically, the date when the average menstrual cycle days Nm specified by the average menstrual cycle days specifying process in step 3 from the current menstrual start date Ds0 is specified as the next scheduled menstrual start date Ds.

  In the following step 79, it is determined whether or not the average number of high temperature days NHm is within a normal range. Specifically, it is determined to be normal if the average number of high-temperature days NHm is within the range of 11 to 16 days, and it is determined to be abnormal when it has a value other than that.

  Here, the range from the 11th to the 16th was defined as the normal range of the average number of high temperature days NHm. However, the standard of the normal range of the average number of high temperature days NHm is not limited to this, and may be, for example, 10 to 17 days, or 12 to 15 days, taking into account individual differences of the subject H, measurement conditions, etc. It can be set appropriately.

  If “YES” is determined in step 79, the process proceeds to step 80, where the ovulation period is within the range of the next two days before and after the next scheduled menstrual start date Ds, centering on the day before the average high temperature period NHm. Estimated. For example, if the average number of high-temperature days NHm is 11, the ovulation period is estimated for 5 days from 9 days to 13 days before the menstrual start date Ds. If the average number of high-temperature days NHm is 16, the ovulation period is estimated for 5 days from 14 days to 18 days before the menstrual start date Ds. The same applies when the average high temperature period NHm is 12 to 15 days.

  The predetermined range for estimating the ovulation period is a range of 2 days before and after the average high temperature period NHm before the next scheduled menstrual start date Ds. However, it may be within the range of three days before and after, and can be set as appropriate in consideration of individual differences of the person to be measured H, measurement conditions, and the like.

  On the other hand, when “NO” is determined in step 79, the process proceeds to step 81, and when the average high temperature period number NHm is shorter than 11 days, the average high temperature period number NHm is 11 days that is the minimum number of days in the normal range. Assuming that, the ovulation period is estimated by the same processing as in step 80. That is, when the average number of high-temperature days NHm is shorter than 11 days (NHm <11 days), the ovulation period falls within the range of 2 days before and after the next scheduled menstrual start date Ds. presume.

  Further, when the average high temperature period number NHm is longer than 16 days, the ovulation period is estimated by the same process as in step 80 on the assumption that the average high temperature period number NHm is 16 days which is the maximum number of days in the normal range. That is, when the average high temperature period NHm is longer than 16 days (NHm> 16 days), the ovulation period is within the range of 2 days before and after the day 16s before the next scheduled menstrual start date Ds. presume.

  When steps 80 and 81 are completed, the process returns. The estimation results of the ovulation period obtained in steps 80 and 81 may be displayed together, for example, on the hormone balance estimation result screens shown in FIGS. You may display separately from a balance estimation result.

  Thus, the fourth embodiment can provide the same operational effects as the first embodiment. Further, in the fourth embodiment, since the ovulation period is estimated within a predetermined period centered on the day before the next scheduled menstrual start date Ds and the average number of high temperature days NHm, the measurement subject H's An appropriate ovulation period according to individual differences can be estimated.

  This effect will be discussed in detail below. For example, in the Kanno theory, regardless of the length of the menstrual cycle, five days from the 12th to the 16th before the next scheduled menstruation are considered as the ovulation period. Since ovulation can occur at any time during the ovulation period when the basal body temperature shifts from low to high, it is not possible to specify the ovulation date solely from changes in body temperature. For this reason, in many systems, five days from the 12th to the 16th before the next scheduled menstruation are predicted as the ovulation period (time when ovulation can occur), as in the above-mentioned theory of Kanno.

  However, when the actual body temperature fluctuations of women of all ages are tabulated, the above-mentioned prediction method based on the theory of Sugano is suitable for teenagers and mid-40s who have large individual differences and are especially prone to hormonal balance disturbance. It can not be said. In addition, the increase in stress accompanying changes in the social environment has led to an increase in cases of disturbing hormonal balance even in the twenties and thirties due to disorder of lifestyle habits.

  Table 1 below shows that when the predicted number of days in the high temperature period is 11 to 16 days, the ovulation period is the previous two days after the start of the next scheduled menstrual period, centering on the days before the estimated number of days in the high temperature period. The probability (coincidence rate) when the transition period from the low temperature period to the high temperature period (high temperature transition period) coincides with this ovulation period is shown.

  In addition, Table 1 is based on the data which recorded the body temperature fluctuation | variation for a total of 525 periods about 10 to-be-measured persons, respectively for about 3-5 years. Further, the date of transition to the high temperature period was specified by visually confirming when the transition from the low temperature period to the high temperature period occurred in the body temperature fluctuation line graph. The next scheduled menstruation start date was the day after the average menstrual cycle number Nm from the immediately preceding menstrual start date. In Table 1, the portion surrounded by a square indicates the maximum value of the matching rate for each person to be measured.

  As can be seen from the results in Table 1, the average number of days in the high temperature period varies greatly among individuals. The coincidence rate of the ovulation period is relatively high when the ovulation period is defined as the range of the previous two days, centering on the day before the next scheduled menstrual start date by the average number of days in the high temperature period for each subject. I understand that In this case, the average number of days in the high temperature period is preferably rounded up to the nearest decimal point.

  In the present embodiment, in consideration of the above points, a day after the average menstrual cycle number Nm from the current (latest) menstrual start date Ds0 is specified as the next scheduled menstrual start date Ds, and the next scheduled menstrual start The ovulation period was estimated within a predetermined period centered on the day before the average high temperature period NHm from the day Ds. For this reason, even when a large individual difference occurs in the average menstrual cycle days Nm and the average high temperature period days NHM, it is possible to estimate an appropriate ovulation period according to the individual differences for each person to be measured.

  Moreover, as shown in Table 1, when the predicted number of days in the high temperature period is 13 days, the average value of the coincidence rate is higher than other predicted days. For this reason, in the fourth embodiment, when the average high temperature period number NHm cannot be calculated, the ovulation period is estimated on the assumption that the average high temperature period number NHm is 13 days. However, even when the predicted number of days in the high temperature period is 14 days, a coincidence rate close to that when 13 days is obtained can be obtained, so 14 days may be used instead of 13 days.

  In the fourth embodiment, when none of the high temperature periods NH1 to NH3 for the latest three cycles is calculated, the average high temperature period NHm is set to 13 days. Before accumulating, the average high temperature period NHH may be set to 13 days regardless of whether the high temperature periods NH1 and NH2 are calculated.

  Moreover, although the fourth embodiment has been described by taking the case where it is applied to the first embodiment as an example, it may be applied to the second and third embodiments. In the fourth embodiment, the day after the average menstrual cycle days Nm from the current menstrual start date Ds0 is specified as the next scheduled menstrual cycle date Ds. For example, instead of the average menstrual cycle days Nm, the self-reporting cycle The next scheduled menstrual start date Ds may be specified using the number of days N0.

In each of the above embodiments, the average menstrual cycle days specifying process shown in step 3 and FIG. 8 in FIGS. 7 and 20 shows a specific example of average menstrual cycle days specifying means (average menstrual cycle days specifying step) , Step 13 in FIG. 8 shows a specific example of normal menstrual cycle determining means (normal menstrual cycle determining step) , and steps 14 to 18 in FIG. 8 show specific examples of day number calculating means (days calculating step) . Further, the cycle average temperature calculation process shown in step 4 and FIG. 9 in FIGS. 7 and 20 shows a specific example of the cycle average temperature calculation means (cycle average temperature calculation step) , and step 5 in FIG. 7 and FIG. The determination process of the high temperature period and the low temperature period shown in FIG. 10 shows a specific example of the transition time specifying means (transition time specifying step) , and step 6 in FIGS. 7 and 20 and the girls shown in FIG . 11, FIG. The power index calculation process shows a specific example of the women 's power index calculation means (women's power index calculation process) , and step 7 in FIGS. 7 and 20 and the display screens shown in FIGS. 12 to 14, 17 to 19 are displayed. A specific example of the means is shown.

  Furthermore, in the fourth embodiment, steps 72 to 77 in FIG. 21 show a specific example of the average high temperature period days specifying means, and step 78 in FIG. 21 is the current menstrual start date Ds0 and the average menstrual cycle days Nm. Based on the above, a specific example of the next menstrual start date estimating means for specifying the next scheduled menstrual start date Ds is shown, and step 80 in FIG. 21 shows a specific example of the ovulation period estimating means.

  Moreover, in each said embodiment, the processing apparatus 13 was set as the structure which displays the state of a hormone balance by the collection | assembly of a bar graph. However, the present invention is not limited to this, and the state of hormone balance may be displayed by, for example, a pie chart or a line chart.

  In each of the above embodiments, the processing apparatus 13 color-codes the bar graph in the low temperature period and the high temperature period, but in addition to this, the data supplemented with the missing data is actually measured by displaying it in a light color. It may be distinguished from the body temperature data D3. In this case, some of the missing data can be easily grasped, and it becomes easy to judge the reliability of the data and the hormone balance estimation result.

  In each of the above embodiments, the sensor device 1 sets the measurement start time and end time in advance, and detects the body surface temperature detection data D1 and the outside air temperature detection data D2 at regular intervals between them. The configuration. However, the present invention is not limited to this, and the sensor device 1 reads the temperature detection data D1 and D2 when, for example, the temperature T1 detected by the body surface temperature detection unit 3 rises above a certain temperature (for example, 32 ° C.), The storage may be started and the reading of the temperature detection data D1 and D2 and the like may be terminated when the temperature falls below a certain temperature.

  Further, the sensor device 1 is provided with a micro azimuth switch, and when the person to be measured changes the posture from the sitting position or the standing position to the lying position, the azimuth switch is turned on, and the person to be measured changes the posture from the lying position to the sitting position or standing position. If changed, the azimuth switch may be turned off. As a result, the sensor device 1 can start and end reading of the temperature detection data D1, D2 and the like according to the ON state and OFF state of the direction switch.

  The sensor device 1 may be configured to detect and store only the body surface temperature detection data D1. In each of the above embodiments, the body surface temperature detection data D1 during sleep is detected a plurality of times per day. However, for example, the body surface temperature detection data D1 may be detected only once per day after the body temperature is sufficiently stabilized.

  Furthermore, the body temperature data D3, which is a representative temperature, is obtained based on the body surface temperature detection data D1 while sleeping, but, for example, in a stable state immediately after getting up, the mouth temperature, the ear temperature, etc. It is good also as a structure using the body temperature data which measured the basal body temperature.

  In each of the above embodiments, when the body temperature data D3 exceeds the cycle average temperature Tm continuously for two days or more in the menstrual cycle, the processing device 13 assumes that the high temperature period has shifted from the first day to the high temperature period. It was set as the structure which specifies the transition time to a period. However, the present invention is not limited to this. For example, when the body temperature data D3 exceeds the cycle average temperature Tm within one day within a predetermined period, the transition time from the low temperature period to the high temperature period may be specified. As disclosed in Japanese Patent No. 4933227, the transition time from the low temperature period to the high temperature period may be specified when the body temperature data D3 exceeds a predetermined high temperature period reference temperature.

  In each of the above embodiments, the processing device 13 calculates the cycle average temperature Tm based on the average menstrual cycle days Nm. However, the present invention is not limited to this. For example, when the menstrual cycle for specifying the transition period from the low temperature period to the high temperature period is determined regardless of the average menstrual cycle days Nm, the body temperature data D3 of the entire menstrual cycle is averaged. Then, the cycle average temperature Tm may be calculated.

1 Wearable sensor device (sensor device)
DESCRIPTION OF SYMBOLS 3 Body surface temperature detection part 4 Outside temperature detection part 6 Control unit 7 Memory | storage part 8 Timer 9 Switch part 10 Power supply 11 Display part 12 Clip 13 Processing apparatus

Claims (13)

A hormone balance estimation device that estimates whether a subject is in a high-temperature period or a low-temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days,
An average menstrual cycle days specifying means for specifying the average menstrual cycle days;
A cycle average temperature calculating means for calculating a cycle average temperature by averaging body temperature data in the menstrual cycle based on the average menstrual cycle days ;
Transition time specifying means for specifying the transition time from the low temperature period to the high temperature period, assuming that when the body temperature data exceeds the cycle average temperature for two days or more within the menstrual cycle, the transition from the first day to the high temperature period It equipped with a door,
The body temperature data series includes a plurality of menstrual cycles,
The average menstrual cycle days specifying means,
A plurality of menstrual cycles included in the series of body temperature data is determined to be a normal menstrual cycle if the number of days in the menstrual cycle is within a predetermined normal range based on the self-reported cycle days reported by the measurement subject A normal menstrual cycle determining means,
A hormone balance estimation apparatus comprising: a day number calculating means for calculating the average number of menstrual cycle days based on the number of days of the menstrual cycle determined to be normal by the normal menstrual cycle determining means .   The hormone balance estimation apparatus according to claim 1, wherein the transition time specifying means specifies the transition time within a predetermined period of a menstrual cycle. The normal menstrual cycle determining means determines whether or not it is a normal menstrual cycle for the latest three cycles consisting of a menstrual cycle that identifies the transition time, the previous menstrual cycle, and the previous menstrual cycle,
The hormone according to claim 1 or 2 , wherein the number-of-days calculating means calculates the average number of menstrual cycle days based on the number of days of the menstrual cycle determined to be normal by the normal menstrual cycle determining means among the last three cycles. Balance estimation device. The cycle average temperature calculating means calculates the cycle average temperature by averaging the body temperature data of the entire menstrual cycle when the number of days of the menstrual cycle specifying the transition time is equal to or less than the average menstrual cycle days,
When the number of days of the menstrual cycle specifying the transition time exceeds the average number of menstrual cycle days, the body temperature data for the average number of menstrual cycle days counted from the last day of the cycle is averaged to calculate the cycle average temperature. Item 4. A hormone balance estimation apparatus according to any one of Items 1 to 3 . Display means for displaying the series of body temperature data as a collection of bar graphs of body temperature data;
The hormone balance estimation according to any one of claims 1 to 4 , wherein the display means displays the bar graph of the body temperature data in different colors in the low temperature period and the high temperature period specified by the transition time specifying means. apparatus. A hormone balance estimation device that estimates whether a subject is in a high-temperature period or a low-temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days,
A cycle average temperature calculating means for calculating a cycle average temperature by averaging body temperature data in a menstrual cycle;
Transition time specifying means for specifying the transition time from the low temperature period to the high temperature period, assuming that when the body temperature data exceeds the cycle average temperature for two days or more within the menstrual cycle, the transition from the first day to the high temperature period When,
And a women's force index calculating means for calculating a women Strength Index WP in accordance with the hormone balance,
The female power index calculating means includes a first index P1 deducted when the number of days in the low temperature period is longer than a normal range;
A second index P2 deducted when the number of days in the high temperature period is shorter than the normal range;
From the third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range, these three indices P1, P2, and P3 are added to increase the hormone balance. The hormone balance estimation apparatus characterized in that the female power index WP according to the above is calculated. A hormone balance estimation device that estimates whether a subject is in a high-temperature period or a low-temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days,
A cycle average temperature calculating means for calculating a cycle average temperature by averaging body temperature data in a menstrual cycle;
Transition time specifying means for specifying the transition time from the low temperature period to the high temperature period, assuming that when the body temperature data exceeds the cycle average temperature for two days or more within the menstrual cycle, the transition from the first day to the high temperature period When,
And a women's force index calculating means for calculating a women Strength Index WP in accordance with the hormone balance,
The female power index calculating means includes a first index P1 deducted when the number of days in the low temperature period is longer than a normal range;
A high temperature period temperature excess index P22, which is an integrated value obtained by integrating the excess of the body temperature data with respect to the cycle average temperature of the entire menstrual cycle over the entire high temperature period, is calculated, and a predetermined coefficient C is added to the high temperature period temperature excess index P22. Multiplied by a second index P2,
From the third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range, these three indices P1, P2, and P3 are added to increase the hormone balance. The hormone balance estimation apparatus characterized in that the female power index WP according to the above is calculated. The female power index calculating means does not calculate the female power index WP when the average temperature in the low temperature period is higher than the average temperature in the high temperature period, and when the average temperature in the low temperature period is lower than the average temperature in the high temperature period The hormone balance estimation apparatus according to claim 6 or 7, wherein the female power index WP is calculated. The hormone balance according to any one of claims 6 to 8, wherein the female power index calculating means calculates the female power index WP based on whether or not the number of days of menstrual cycle is shorter than a predetermined number of days. Estimating device. Means for specifying the average high temperature period days,
10. An ovulation period estimating means for estimating an ovulation period within a predetermined period centered on a day before the average high temperature period days from the next scheduled menstrual start date. The hormone balance estimation apparatus described in 1. A hormone balance estimation method in which a processing device estimates whether a subject is in a high temperature period or a low temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days. And
An average menstrual cycle days specifying step for specifying the average menstrual cycle days;
A cycle average temperature calculating step of calculating a cycle average temperature by averaging body temperature data in the menstrual cycle based on the average menstrual cycle days ;
Transition time specifying step for specifying the transition time from the low temperature period to the high temperature period, assuming that when the body temperature data exceeds the cycle average temperature for two days or more within the menstrual cycle, the transition from the first day to the high temperature period It equipped with a door,
The body temperature data series includes a plurality of menstrual cycles,
The average menstrual cycle days specifying step includes:
A plurality of menstrual cycles included in the series of body temperature data is determined to be a normal menstrual cycle if the number of days in the menstrual cycle is within a predetermined normal range based on the self-reported cycle days reported by the measurement subject A normal menstrual cycle determination step,
A hormone balance estimation method, comprising: a days calculation step of calculating the average number of menstrual cycles based on the number of days in the menstrual cycle determined to be normal by the normal menstrual cycle determination means . A hormone balance estimation method in which a processing device estimates whether a subject is in a high temperature period or a low temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days. And
A cycle average temperature calculating step of calculating the cycle average temperature by averaging the body temperature data in the menstrual cycle;
Transition time specifying step for specifying the transition time from the low temperature period to the high temperature period, assuming that when the body temperature data exceeds the cycle average temperature for two days or more within the menstrual cycle, the transition from the first day to the high temperature period When,
A female power index calculating step for calculating a female power index WP according to the hormone balance,
The female power index calculation step includes a first index P1 deducted when the number of days in the low temperature period is longer than a normal range;
A second index P2 deducted when the number of days in the high temperature period is shorter than the normal range;
Calculating a third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range;
A hormone balance estimation method characterized by adding the three indices P1, P2, and P3 to calculate the female power index WP according to the hormone balance. A hormone balance estimation method in which a processing device estimates whether a subject is in a high temperature period or a low temperature period using a series of body temperature data obtained by measuring the body temperature of the subject over a plurality of days. And
A cycle average temperature calculating step of calculating the cycle average temperature by averaging the body temperature data in the menstrual cycle;
Transition time specifying step for specifying the transition time from the low temperature period to the high temperature period, assuming that when the body temperature data exceeds the cycle average temperature for two days or more within the menstrual cycle, the transition from the first day to the high temperature period When,
A female power index calculating step for calculating a female power index WP according to the hormone balance,
The female power index calculation step includes a first index P1 deducted when the number of days in the low temperature period is longer than a normal range;
A high temperature period temperature excess index P22, which is an integrated value obtained by integrating the excess of the body temperature data with respect to the cycle average temperature of the entire menstrual cycle over the entire high temperature period, is calculated, and a predetermined coefficient C is added to the high temperature period temperature excess index P22. Multiplied by a second index P2,
Calculating a third index P3 deducted when the temperature difference between the average temperature in the low temperature period and the average temperature in the high temperature period is less than the normal range;
A hormone balance estimation method characterized by adding the three indices P1, P2, and P3 to calculate the female power index WP according to the hormone balance.

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