JP2011145227A - Electronic thermometer and method of controlling the same - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an electronic thermometer which allows easy management of body temperature at the time of becoming feverish and facilitates understanding the trend in the changes to body temperature. <P>SOLUTION: The method of controlling an electronic thermometer includes a step for storing a measured body temperature data by corresponding it to a measurement time, a step (S607) for generating a trend graph based on the stored body temperature data, a step (S603) which determines body temperature change of a person to be examined based on the generated trend graph and decides whether the body temperature of the person to be examined is rising or dropping, and steps (S604 and S605) in which, if it is determined to be rising, the maximum value of body temperature of the subject as well as the time of its reach are estimated, but if determined to be falling, the time at which the body temperature of the subject reaches normal temperature is estimated. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an electronic thermometer and a control method thereof.

  2. Description of the Related Art Conventionally, as an electronic thermometer suitable for body temperature management, a female electronic thermometer capable of recording a measured body temperature and creating a trend graph is known. According to the electronic thermometer, changes in basal body temperature from day to day can be easily managed.

Japanese Patent Laying-Open No. 2005-50364

  On the other hand, even when fever occurs due to various diseases such as colds and influenza, it is beneficial to be able to manage changes in body temperature using an electronic thermometer. This is because, if the measurement result of body temperature performed in hours instead of days can be visualized as a change in body temperature with a trend graph, the timing of medication can be determined and the effect of medication can be confirmed. .

  However, body temperature measurement during fever is not always performed at regular intervals, and measurement intervals are usually irregular. For this reason, it is difficult to read changes in body temperature changes simply by displaying a plot of measurement points as a trend graph, and it is also possible to estimate future body temperature changes of a subject by looking at such a trend graph. It is difficult.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide an electronic thermometer that facilitates body temperature management during fever and easily grasps changes in body temperature.

In order to achieve the above object, an electronic thermometer according to the present invention has the following configuration. That is,
An electronic thermometer that measures the temperature of a subject,
Storage means for storing the measured body temperature data in association with the measurement time;
Generating means for generating a trend graph by plotting the body temperature data stored in the storage means according to the corresponding measurement time;
Based on the trend graph generated by the generating means, determining means for determining whether the subject's body temperature is rising or falling;
When it is determined that the determination means is increasing, the maximum value at which the body temperature of the subject reaches and the time when the subject reaches the maximum value are estimated as estimated values, and the determination means is decreasing If it is determined that, the estimation means for estimating the time when the body temperature of the subject reaches normal heat as an estimated value,
Display means for displaying the trend graph generated by the generating means and the estimated value estimated by the estimating means.

  According to the present invention, it is possible to provide an electronic thermometer that facilitates body temperature management during fever and easily grasps changes in body temperature.

It is a figure which shows the external appearance structure of the electronic thermometer 100 which concerns on the 1st Embodiment of this invention. 2 is a diagram showing a functional configuration of an electronic thermometer 100. FIG. It is a figure for demonstrating the operation mode of the electronic thermometer. 4 is a flowchart showing a flow of a body temperature measurement process in a body temperature measurement mode of the electronic thermometer 100. It is a figure for demonstrating the display content of the display part in body temperature measurement mode. It is a flowchart which shows the flow of the trend display process in the trend display mode of the electronic thermometer 100. It is a figure for demonstrating the display content of the display part in trend display mode. It is a flowchart which shows the flow of the estimation process in the trend display mode of the electronic thermometer 100. It is a figure for demonstrating the outline | summary of the estimation process at the time of a raise. It is a figure for demonstrating the outline | summary of the estimation process at the time of descent | fall.

  Hereinafter, the details of each embodiment of the present invention will be described with reference to the accompanying drawings as necessary. In addition, this invention is not limited to the following embodiment, It shall change suitably.

[First Embodiment]
<1. External structure of electronic thermometer>
FIG. 1 is a diagram showing an external configuration of an electronic thermometer 100 according to the first embodiment of the present invention. In FIG. 1, 101 is a housing of the electronic thermometer 100, and 102 is an end cap. The end cap 102 is covered with a metal such as stainless steel so that the body temperature of the subject can be easily conducted to the built-in temperature measurement unit.

  Reference numeral 103 denotes a display unit that displays body temperature data and the like as body temperature measurement results. Reference numerals 104 and 105 denote switching buttons for switching between “body temperature measurement mode” and “trend display mode”, which are operation modes of the electronic thermometer 100. When the body temperature measurement mode button 104 is pressed, the body temperature measurement mode is entered and the body temperature measurement and the body temperature measurement result can be saved. On the other hand, when the trend display mode button 105 is pressed, a transition is made to the trend display mode, and the stored body temperature measurement result is displayed as a trend graph, or the transition of body temperature change is estimated based on the displayed trend graph. It becomes possible to do. Note that the example of FIG. 1 shows a transition to the “body temperature measurement mode”.

  Reference numeral 106 denotes a move button, which moves a cursor (not shown in FIG. 1) indicating a selection position for each item displayed on the display unit 103. Reference numeral 107 denotes a determination button. When the determination button 107 is pressed, an item corresponding to the position of the cursor moved by the movement button 106 is selected.

  Reference numeral 108 denotes a reset button, which erases the body temperature measurement result stored when the body temperature is measured in the body temperature measurement mode from the storage destination.

<2. Configuration of electronic thermometer>
FIG. 2 is a block diagram showing a functional configuration of the electronic thermometer 100 according to the present embodiment.

  The electronic thermometer 100 performs various processes based on the temperature measurement unit 210 that outputs the detected temperature as an oscillation signal, and the signal output from the temperature measurement unit 210, calculates the body temperature data of the subject, and the electronic thermometer 100. An arithmetic control unit 220 that controls the overall operation, a display unit 230 that displays the calculated body temperature data of the subject (corresponding to the display unit 103 in FIG. 1), an audio output unit 240, and various buttons (FIG. 1 is provided with an operation unit 260 including a variety of buttons (104 to 108) and a power supply unit 250.

  The temperature measurement unit 210 includes a thermistor, a capacitor, a temperature measurement CR oscillation circuit, and the like, and outputs the temperature detected by the thermistor as an oscillation signal. The output oscillation signal is counted by the counter 222 to be output as a digital quantity. The configuration of the temperature measurement unit 210 is an example and is not limited to this.

  The arithmetic control unit 220 includes a counter 222 that counts the oscillation signal output from the temperature measurement unit 210.

  The body temperature data is calculated based on the EEPROM 225 storing parameters necessary for body temperature measurement, and the count value of the counter 222, and the body temperature data (predicted value) of the subject is calculated based on the time change of the calculated body temperature data. ROM 224 storing a program for calculating), RAM 226 for storing the calculated body temperature data in time series, and instructing calculation according to the program stored in ROM 224 and outputting voice to voice output unit 240 And an arithmetic processing unit 223.

  In the electronic thermometer 100 according to this embodiment, the ROM 224 further executes a plurality of reference graphs (details will be described later) used in trend display processing (details will be described later) in the trend display mode, and the trend display processing. It is assumed that a program for storing the program is stored.

  The arithmetic control unit 220 includes a display control unit 227 for controlling the display unit 230 that displays the body temperature data calculated by the arithmetic processing unit 223 as a measurement result.

  The arithmetic control unit 220 further includes a control circuit 221 that controls the counter 222, the display control unit 227, the arithmetic processing unit 223, and the temperature measurement unit 210.

<3. Mode in Electronic Thermometer 100>
Next, mode transition in the electronic thermometer 100 will be described with reference to FIG. FIG. 3 is a diagram showing mode transition of the electronic thermometer 100. As described above, the electronic thermometer 100 includes the body temperature measurement mode button 104 and the trend display mode button 105, and is configured to switch the mode when one of the mode switching buttons is pressed.

  Immediately after the electronic thermometer 100 is turned on, the body temperature measurement mode is activated as a default. In this state, when the trend display mode button 105 is pressed, a transition is made to the trend display mode.

  Immediately after the transition to the trend display mode, the cursor (701 in FIG. 7) is at the “trend” position and is in the trend graph mode (see FIG. 7A). In this state, when the move button 106 is pressed to move the cursor to the “estimate” position and then the enter button 107 is pressed, the mode shifts to the estimation processing mode (see FIG. 7B). When transitioning to the estimation process mode, the estimation process is started and the result of the estimation process is displayed on the display unit 103.

  If the move button 106 is pressed and the cursor is moved to the “trend” position after the transition to the estimation processing mode, the determination button 107 is pressed to return to the trend graph mode again. When the body temperature measurement mode button 104 is pressed in the state of transition to the trend display mode regardless of the trend graph mode or the estimation processing mode, the body transitions to the body temperature measurement mode.

<4. Flow of temperature measurement process>
Next, the flow of the body temperature measurement process in the electronic thermometer 100 will be described with reference to FIGS. 4 and 5. FIG. 4 is a flowchart showing the flow of the body temperature measurement process of the electronic thermometer 100, and FIG. 5 is a view showing the display contents of the display unit 103 of the electronic thermometer 100 during the body temperature measurement process. When the electronic thermometer 100 is turned on, the body temperature measurement process shown in FIG.

  In step S401, it is determined whether the trend display mode has been selected. As described above, immediately after the power is turned on, the electronic thermometer 100 is activated in the body temperature measurement mode. For this reason, when the trend display mode button 105 is pressed, the mode is changed to the trend display mode. However, when the mode switching button is not pressed, the process proceeds in the body temperature measurement mode.

  If it is determined in step S401 that the trend display mode has been selected, the process proceeds to step S412 to start the trend display process. On the other hand, if it is determined that the trend display mode has not been selected, the process proceeds to step S402. Details of the trend display process (step S412) will be described later.

  In step S402, the electronic thermometer 100 is initialized and temperature measurement by the thermistor is started. Specifically, the arithmetic processing unit 223 calculates temperature data at a predetermined interval, for example, every 0.5 seconds.

  In step S403, it is determined whether a body temperature measurement start condition is satisfied. Specifically, the degree of increase from the value of the temperature data calculated by the previous temperature measurement (that is, the value of the temperature data 0.5 seconds before) has become a predetermined value (for example, 1 ° C.) or more. Judge whether or not.

  When it is determined that the degree of increase is equal to or greater than a predetermined value, it is determined that the body temperature measurement start condition is satisfied, and the timing at which the temperature data is measured is set as a reference point (t = 0) for predictive body temperature calculation. . That is, in the electronic thermometer 100, when a rapid temperature rise is measured, it is considered that the subject wears the electronic thermometer 100 under his arm.

  In step S403, if it is determined that the body temperature measurement start condition is satisfied, the process proceeds to step S404, and temperature data acquisition is started. Specifically, the output temperature data and the timing at which the temperature data is measured are stored in the RAM 226 as time series data.

  In step S405, the predicted body temperature is calculated according to a predetermined prediction formula using the temperature data stored in step S404.

  In step S406, after a predetermined time (for example, 25 seconds) has elapsed from the reference point (t = 0), a predicted value in a certain section (for example, t = 25 to 30 seconds) calculated in step S405 is set in advance. It is determined whether or not the predicted establishment condition is satisfied. Specifically, it is determined whether or not the temperature is within a predetermined range (for example, 0.1 ° C.).

  If it is determined in step S406 that the conditions for establishing the prediction are satisfied, the process proceeds to step S407, the temperature measurement is terminated, and the process proceeds to step S408. And the calculated predicted body temperature is displayed on the display unit 103.

  On the other hand, if it is determined in step S406 that the prediction satisfaction condition is not satisfied, the process proceeds to step S413. In step S413, it is determined whether a predetermined time (for example, 45 seconds) has elapsed from the reference point (t = 0). If it is determined that the time has elapsed, the temperature measurement is forcibly terminated. If the forced termination is performed, the predicted body temperature calculated at that time is displayed on the display unit 103 (step S408). FIG. 5A shows a state where the predicted body temperature is displayed on the display unit 103.

  In step S409, the user is inquired whether to save the predicted body temperature displayed on the display unit 230 (hereinafter, “body temperature measurement result”). FIG. 5B shows a state in which the user is inquired whether or not to save the body temperature measurement result. The user operates the movement button 106 to move the cursor 501 to a desired position. That is, the cursor 501 is moved to the “Yes” side when the body temperature measurement result is desired, and the cursor 501 is moved to the “No” side when the body temperature measurement result is not desired.

  If the enter button 107 is pressed while the cursor 501 is moved to the “Yes” side, it is determined in step S409 that there is a save instruction, and the process proceeds to step S410. On the other hand, when the determination button 107 is pressed while the cursor 501 is moved to the “No” side, it is determined in step S409 that there is no save instruction, and the process proceeds to step S411.

  In step S410, the body temperature measurement result is stored in the EEPROM 225 in association with the measurement date and time (or measurement time). FIG. 5C is a diagram showing the display content of the display unit 230 after it is determined that there has been an instruction to save the body temperature measurement result, and the body temperature measurement result is stored in the EEPROM 225 in association with the measurement date and time.

  In step S411, it is determined whether a body temperature measurement end instruction has been accepted. If it is determined in step S411 that a body temperature measurement end instruction has not been received, the process returns to step S401.

  On the other hand, when it is determined in step S411 that a body temperature measurement end instruction has been received, the power supply unit 250 is turned off.

<5. Trend display process flow>
Next, the detailed flow of the trend display process (step S412) in the electronic thermometer 100 will be described with reference to FIGS. FIG. 6 is a flowchart showing a flow of trend display processing of the electronic thermometer 100, and FIG. 7 is a diagram showing display contents of the display unit 103 of the electronic thermometer 100 during the trend display processing. When the trend display mode button 105 is pressed, the arithmetic processing unit 223 starts the trend display process shown in FIG.

  In step S601, it is determined whether an estimation processing mode has been selected. As described above, the trend display mode includes the trend graph mode and the estimation processing mode, and the trend graph mode is selected immediately after the trend display mode button 105 is pressed to shift to the trend display mode. For this reason, when the estimation processing mode is selected, a transition is made to the estimation processing mode. However, when the estimation processing mode is not selected, the processing proceeds in the trend graph mode.

  If it is determined in step S601 that the estimation processing mode has been selected, the process proceeds to step S602. On the other hand, if it is determined that the estimation processing mode has not been selected, the process proceeds to step S607.

  In step S607, all body temperature measurement results stored in the EEPROM 225 are read out, and each body temperature measurement result is plotted in accordance with the stored measurement date and time, thereby creating a trend graph and displaying it on the display unit 103. To do. FIG. 7A shows a trend graph displayed in the trend graph mode. If the trend graph display is completed in step S607, the process returns to step S601.

  On the other hand, in step S602, a predetermined number of the latest body temperature measurement results are obtained from the body temperature measurement results plotted as a trend graph.

  In step S603, based on the predetermined number of body temperature measurement results acquired in step S602, the change in the body temperature of the subject at the present time (when the latest body temperature measurement result is stored) is rising or falling. Determine if there is. Specifically, using a predetermined number of body temperature measurement results, it is determined whether the slope of the body temperature change over time is positive or negative. When the inclination of the body temperature change with respect to the passage of time is positive, it is determined that the body temperature change of the subject is increasing, and the process proceeds to step S604. On the other hand, when the inclination of the body temperature change with respect to the passage of time is negative, it is determined that the body temperature change of the subject is falling, and the process proceeds to step S605.

  In step S604, a rise estimation process is executed to estimate how many times the subject's body temperature will rise in the future (maximum body temperature value) and to estimate the time when the body temperature reaches the maximum body temperature. On the other hand, in step S605, a descent estimation process is executed to estimate the time when the subject's body temperature reaches normal heat. Note that the details of the estimation process at the time of rising and the estimation process at the time of falling will be described later.

  After the upward estimation process or the downward estimation process is executed, the process returns to step S601. FIG. 7B shows that an ascent time estimation process is executed, an ascent time estimation graph (described later) is displayed superimposed on the trend graph, and an estimated value (the time when the body temperature reaches the maximum temperature and the body temperature reaches the maximum value) and It shows a state in which an approximate curve of a trend graph is displayed.

<6. Details of estimation process>
Next, details of the estimation process at the time of ascending (step S604) and the estimation process at the time of descending (step S605) will be described with reference to FIGS. FIG. 8A is a flowchart showing a detailed flow of the ascent estimation process (step S604), and FIG. 8B is a flowchart showing a detailed flow of the descending estimation process (step S605). FIG. 9 is a diagram showing an overview of the rising time estimation process (step S604), and FIG. 10 is a diagram showing an overview of the falling time estimation process (step S605).

(1) Ascent process at ascending First, details of the estimating process at ascending (step S604) will be described. In step S801, a body temperature measurement result as a minimum point is determined from the body temperature measurement results read and plotted (see FIG. 9A), and defined as a reference point. Specifically, the body temperature measurement result read out and plotted is approximated by a curve of a predetermined order (901 in FIG. 9B), and the body temperature measurement result at the time when the differential value becomes zero (or the differential value is zero). The body temperature measurement result closest to the given time) is determined as the minimum point and used as the reference point. If there are a plurality of minimum points, the newest one is used as a reference point. Furthermore, when there is no minimum point, the minimum value point (minimum point) is set as the reference point in the read body temperature measurement result (902 in FIG. 9B).

  In step S802, a plurality of patterns of reference graphs 911 stored in the ROM 224 are sequentially read out and compared with the trend graph to calculate the similarity. Here, the “reference graph” is a graph showing temporal changes in body temperature during fever, and was obtained by classifying the temporal changes in body temperature during fever of a predetermined number of subjects into a plurality of patterns. A plurality of typical body temperature change patterns.

  In calculating the similarity, first, a reference graph corresponding to the time width T of the trend graph based on the reference point (local minimum or minimum point) 912 on the reference graph 911 corresponding to the reference point 902 defined in step S801. (Region 913) is extracted. Then, the extracted reference graph and the trend graph (region 903) for the time width T from the reference point 902 defined in step S801 to the latest body temperature measurement result are positioned based on the reference point 902 and the reference point 912. After matching, the degree of similarity between the two is calculated. It is assumed that the similarity is calculated for all the reference graphs 911 having a plurality of patterns stored in the ROM 224.

  In step S803, the reference graph 914 having the maximum similarity is determined based on the similarity calculated for each reference graph 911 in step S802. Furthermore, based on the discriminated reference graph 914, the body temperature maximum value and the time at which the body temperature maximum value is reached are calculated as estimated values.

  Specifically, a point 915 in the reference graph 914 after the region 913 where the body temperature change is maximum is obtained, and the body temperature value at that time is set as the body temperature maximum value. In addition, a time t until the point 915 at which the body temperature change becomes maximum after the region 913 is calculated. And the time at the time of adding the said time t to the measurement date matched with the newest body temperature measurement result in a trend graph is calculated, and it is set as the estimated time which reaches | attains a body temperature maximum value.

  In step S804, a rising estimation graph is generated. Specifically, a region 916 in the reference graph 914 after the region 913 and reaching the point 915 where the change in body temperature reaches a maximum is extracted from the reference graph 914 and used as an ascending estimation graph. The rising estimation graph generated in this way is connected after the trend graph area 903 (see 904 in FIG. 9D).

  In step S805, the body temperature maximum value and estimated time calculated in step S803, and the rising estimation graph generated in step S804 are displayed on the display unit 103. At this time, the approximate curve 901 calculated in step S801 is also displayed.

(2) Descent estimation process Next, the descent estimation process will be described. In step S811, the body temperature measurement result that is the local maximum point is determined from the body temperature measurement results that have been read and plotted (see FIG. 10A), and defined as a reference point. Specifically, the body temperature measurement result read out and plotted is approximated by a curve of a predetermined order (1001 in FIG. 10B), and the body temperature measurement result at the time when the differential value becomes zero (or the differential value is zero). The body temperature measurement result closest to the given time) is determined as the maximum point and used as the reference point. If there are a plurality of local maximum points, the newest one is used as a reference point. Further, when there is no local maximum point, the maximum value point (maximum point) among the read body temperature measurement results is set as a reference point (1002 in FIG. 10B).

  In step S812, a plurality of patterns of reference graphs 911 stored in the ROM 224 are sequentially read out and compared with the trend graph to calculate the similarity.

  Specifically, first, based on the reference point (maximum point or maximum point) 1011 on the reference graph 911 corresponding to the reference point 1002 defined in step S811, a reference graph for the time width T ′ of the trend graph ( Region 1012) is extracted. Then, based on the reference point 1002 and the reference point 1011, the extracted reference graph and the trend graph (region 1003) for the time width T ′ from the reference point 1002 defined in step S 811 to the latest body temperature measurement result are obtained. After alignment, comparison is made and the similarity between the two is calculated. It is assumed that the similarity is calculated for all the reference graphs 911 having a plurality of patterns stored in the ROM 224.

  In step S813, the reference graph 1013 having the maximum similarity is determined based on the similarity calculated for each reference graph 911 in step S812. Furthermore, based on the discriminated reference graph 1013, the time to reach normal heat is calculated as an estimated value.

  Specifically, the time t ′ until the point 1014 at which the body temperature change becomes constant after the region 1012 in the reference graph 1013 is calculated. Then, the time when the time t 'is added to the measurement date and time associated with the latest body temperature measurement result in the trend graph is calculated and set as the estimated time to reach normal heat.

  In step S814, a descending estimation graph is generated. Specifically, a region 1015 in the reference graph 1013 after the region 1012 and reaching the point 1014 where the change in body temperature is constant is extracted from the reference graph 1013 and is used as a descending estimation graph. The descending estimation graph generated in this way is connected after the trend graph area 1003 (see 1004 in FIG. 10D).

  In step S815, the estimated time calculated in step S813 and the descent estimated graph generated in step S814 are displayed on the display unit 103. At this time, the approximate curve 1001 calculated in step S811 is also displayed.

  As is clear from the above description, in the electronic thermometer according to the present embodiment, the body temperature measurement result is stored in association with the measurement date and time, and a time unit trend graph is generated using the stored body temperature measurement result. The configuration.

  Furthermore, by comparing the generated trend graph with the reference graph, if the body temperature is rising, the body temperature maximum value and the time to reach the body temperature maximum value are estimated, and if the body temperature is falling, the time to reach normal heat It was set as the structure which estimates.

  In addition, an approximate curve of a predetermined order is superimposed on the generated trend graph, and a rising estimation graph until reaching the maximum body temperature or a falling estimation graph until reaching normal temperature is generated and combined with the trend graph It was.

  This makes it possible to provide an electronic thermometer that facilitates body temperature management during fever and makes it easy to grasp changes in body temperature.

[Second Embodiment]
In the first embodiment, the temperature measurement result is stored without specifying the subject, but the present invention is not limited to this. For example, the subject may be specified when the body temperature measurement result is stored, and an identifier indicating the specified subject may be stored in association with the body temperature measurement result. By having such a configuration, even if there are multiple subjects, creation of a trend graph for each subject, estimation of the maximum body temperature, estimation of the time to reach the maximum body temperature, etc. Can be performed.

[Third Embodiment]
Although the memo function is not particularly mentioned in the first embodiment, the electronic thermometer 100 may be provided with a memo function (a function for inputting data such as the presence / absence of drug intake and physical condition). Moreover, you may comprise so that the various data input using the said memo function may be displayed according to a trend graph display.

DESCRIPTION OF SYMBOLS 100 ... Electronic thermometer, 101 ... Housing, 102 ... End cap, 103 ... Display part, 104 ... Body temperature measurement mode button, 105 ... Trend display mode button, 106 ... Movement Button 107, Determination button 108, Reset button 701 Cursor, 901 Approximation curve, 902 Reference point, 903 Area, 904 Estimation graph when rising 911 ... reference graph, 912 ... reference point, 913 ... region, 914 ... reference graph with maximum similarity, 915 ... point with maximum body temperature change, 1001 ... Approximate curve, 1002 ... reference point, 1003 ... area, 1004 ... estimated graph when descending, 1011 ... reference point, 1012 ... area, 1013 ... maximum similarity That reference graph, 1014 ... body temperature is constant, 1015 ... region

Claims (7)

An electronic thermometer that measures the temperature of a subject,
Storage means for storing the measured body temperature data in association with the measurement time;
Generating means for generating a trend graph by plotting the body temperature data stored in the storage means according to the corresponding measurement time;
Based on the trend graph generated by the generating means, determining means for determining whether the subject's body temperature is rising or falling;
When it is determined that the determination means is increasing, the maximum value at which the body temperature of the subject reaches and the time when the subject reaches the maximum value are estimated as estimated values, and the determination means is decreasing If it is determined that, the estimation means for estimating the time when the body temperature of the subject reaches normal heat as an estimated value,
An electronic thermometer comprising: a trend graph generated by the generating means; and a display means for displaying the estimated value estimated by the estimating means.   The determination unit extracts a predetermined number of body temperature data with the new measurement time associated with the temperature data stored in the storage unit, and the inclination of the predetermined number of body temperature data that changes over time 2. The electronic thermometer according to claim 1, wherein it is determined whether the body temperature of the subject is rising or falling by obtaining the above. The generating means further generates an approximate curve by approximating the trend graph with a curve of a predetermined order,
The electronic thermometer according to claim 2, wherein the display unit further displays the generated approximate curve. It further comprises storage means for storing a plurality of patterns as graphs showing temporal changes in body temperature during fever,
The estimating means calculates a similarity between a reference graph of a plurality of patterns stored in the storage means and the generated trend graph, and based on the reference graph that maximizes the calculated similarity, The electronic thermometer according to claim 3, wherein an estimated value is estimated.   When the estimation unit determines that the estimation unit is increasing, the estimation unit performs alignment between the trend graph and the reference graph based on the minimum point or the minimum point included in the approximate curve. Then, the similarity is calculated, and when it is determined that the determination unit is descending, the trend graph and the reference graph are determined based on the maximum point or the maximum point included in the approximate curve. The electronic thermometer according to claim 4, wherein the similarity is calculated after alignment.   When the display means determines that the determination means is increasing, the temporal change in the body temperature of the subject until the estimated maximum value is reached is the maximum similarity. After being extracted from the reference graph, and displayed superimposed on the trend graph, and when it is determined that the determination means is descending, the time change of the subject's body temperature until the normal temperature is reached The electronic thermometer according to claim 5, wherein the electronic thermometer is displayed by being superimposed on the trend graph after being extracted from the reference graph having the maximum similarity. A method for controlling an electronic thermometer that measures the body temperature of a subject,
A storage step of storing the measured body temperature data in association with the measurement time;
A generation step of generating a trend graph by plotting the body temperature data stored in the storage step according to the corresponding measurement time;
A determination step of determining whether the subject's body temperature is rising or falling based on the trend graph generated in the generation step;
When it is determined that the temperature is rising in the determination step, the maximum value at which the body temperature of the subject reaches and the time at which the subject reaches the maximum value are estimated as estimated values, and the pressure is decreasing in the determination step When it is determined that the estimated temperature is estimated as the time when the subject's body temperature reaches normal heat,
An electronic thermometer control method comprising: a trend graph generated in the generation step; and a display step for displaying the estimated value estimated in the estimation step.

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