JPH0259419B2 - - Google Patents

Description

BACKGROUND OF THE INVENTION A Technical Field The present invention relates to an electronic thermometer, specifically, a temperature detection means for detecting the temperature of a part to be measured, and an arithmetic circuit for predicting an equilibrium temperature according to the detected temperature. The present invention relates to an electronic thermometer including: and display means for displaying temperature. B. Prior art and its problems Conventionally, such electronic thermometers predict the temperature at thermal equilibrium from the measured temperature and display this in advance before reaching the thermal equilibrium state. This temperature prediction is typically performed by monitoring the measured temperature and its rate of change over time, and using a prediction function that uses these two variables and the elapsed time up to the time of monitoring as variables. Therefore, the predicted equilibrium temperature is uniquely determined by the measured values of these three variables. Electronic thermometers using this type of equilibrium temperature prediction method complete temperature measurement before reaching a thermal equilibrium state, so they have the advantage of short temperature measurement times. has the disadvantage that prediction accuracy is significantly reduced. OBJECTS OF THE INVENTION An object of the present invention is to provide an electronic thermometer with high accuracy in predicting equilibrium temperature. In order to achieve the above object, the electronic thermometer of the present invention includes: a temperature detection unit that detects the temperature of a part to be measured; a prediction calculation unit that predicts an equilibrium temperature according to the detected temperature; and a prediction calculation unit that predicts the equilibrium temperature according to the detected temperature. In the electronic thermometer, the prediction calculation section includes a determination means for determining a measurement start condition, a timer for measuring elapsed measurement time after the start of measurement,
storage means for storing a plurality of prediction functions that define temperature changes up to the equilibrium temperature using measurement elapsed time as a variable; and selection means for selecting a predetermined one from the plurality of prediction functions upon the start of measurement; a first calculating means for calculating a predicted value of the detected temperature at a certain point in time based on a prediction function selected from the detected temperature at the past point in time and the measurement elapsed time at that point; a second calculation means for calculating a predicted value of the equilibrium temperature based on a prediction function; and calculating a difference between the predicted value calculated by the first calculation means and the detected temperature at a certain point in time, and when the difference is outside a predetermined range; selects a new prediction function from the storage means at the next prediction time, and when the difference is within a predetermined range, displays the predicted value of the equilibrium temperature obtained by the second calculation means on the display means. Its outline is to provide evaluation means. Preferably, the prediction function includes a first prediction function and a second prediction function, and the first prediction function is a prediction function for determining a corrected temperature difference representing a difference between the detected temperature and the predicted value of the equilibrium temperature; The second prediction function is a prediction function for determining a temperature increment at a certain point in time based on the detected temperature a predetermined time ago, the selection means selects the second prediction function, and the first calculation means selects the second prediction function. The second calculation means obtains a predicted value of the detected temperature at the present time based on the selected second prediction function, and the second calculation means calculates the predicted value of the equilibrium temperature based on the first prediction function corresponding to the selected second prediction function. One embodiment is characterized in that the evaluation means selects a new second prediction function by the time of the next prediction. Preferably, the first prediction function is U=αt+β+K(t+γ) U: corrected temperature difference t: measurement elapsed time K: variable parameters indicating degree of temperature rise α, β, γ, δ: constants This is one aspect of this. Preferably, the first prediction function is U=(aA+b)t+cA+d +K(t+d) ^A +e[t- _t0 ]/(K+f) U: Corrected temperature difference t: Measurement elapsed time A: Depends on the part to be measured Variable parameters K: Variable parameters that indicate the degree of temperature rise a, b, c, d, e, f: Constant t ₀ : Constant that indicates a predetermined point in the measurement elapsed time [ ]: When the value inside [ ] is negative, One aspect of this is that when it is 0 or not negative, it is a symbol that indicates the value. Preferably, the evaluation means determines whether the difference is within a predetermined range for a predetermined period of time.
One aspect thereof is to display the predicted value of the equilibrium temperature obtained by the calculation means on the display means and then stop the prediction calculation. Preferably, one aspect of the selection means is to select a second prediction function that corresponds to the first prediction function in which the temperature rise with respect to the measurement elapsed time is average. Preferably, the selection means selects the second prediction function that corresponds to the first prediction function that approaches the equilibrium temperature early with respect to the measurement elapsed time, and the evaluation means selects the second prediction function that approaches the equilibrium temperature gradually with respect to the measurement elapsed time. The first to approach
One aspect thereof is to sequentially select second prediction functions corresponding to the prediction functions of . Preferably, the memory means includes a plurality of first memory cells defined according to measurement conditions from the armpit to the mouth.
and a second prediction function are stored, and one aspect of the selection means is to select the second prediction function corresponding to the measurement conditions between the armpit and the inside of the mouth. Preferably, one aspect of the determination means is to determine that the temperature detection section detects a temperature equal to or higher than a predetermined value, and that the detected temperature exhibits an increase rate equal to or higher than the predetermined value. Preferably, the detected temperature at a time before the current time is an arithmetic average value of the time before the current time and at least one preceding detected temperature closest to the current time, and the detected temperature at the current time is the arithmetic mean value of the previous detected temperature at the time before the current time and at least one previous detection temperature closest to the current time. One aspect thereof is that the temperature is an arithmetic mean value of at least one closest preceding detected temperature. Detailed Description and Effects of the Invention Next, embodiments of the electronic thermometer according to the present invention will be described in detail with reference to the accompanying drawings. FIG. 1 is a block diagram showing the basic configuration of an electronic thermometer according to the present invention. This electronic thermometer basically includes a temperature measurement section 1, a prediction calculation section 2, an evaluation section 3, and a display section 4. The temperature measuring section 1 includes a temperature sensing element 10 such as a thermistor (Fig. 5).
This is a circuit that measures the temperature of the part to be measured in real time. The prediction calculation unit 2 is a circuit that predicts the current temperature from past data and the temperature at thermal equilibrium from the current temperature. Evaluation section 3
evaluates the current predicted temperature based on the current temperature information, and instructs to change the prediction calculation parameters and display the predicted calculation of the temperature at thermal equilibrium according to the evaluation result. The display unit 3 is a display device that visually displays the predicted temperature. The temperature measurement section 1 measures the temperature in real time, and the results at the sampling time are sent as real-time temperature signals 5 and 9 to the prediction calculation section 2 and evaluation section 3, respectively. The prediction calculation unit 2 receives the real-time temperature signal 5, monitors the elapsed time from the start of the measurement according to the measurement start conditions, and stores a necessary amount of temperature information for past elapsed times. Next, from the past elapsed time information and the past temperature information, a temperature increment is calculated using a prediction function with an average temperature rise over the measured elapsed time, and the current real-time temperature is predicted, and the real-time predicted temperature signal 6 is sent to the evaluation section. Send to 3. The evaluation unit 3 evaluates the real-time predicted temperature signal 6 based on the real-time temperature signal 9 . When the real-time temperature and the real-time predicted temperature substantially match, that is, the difference between the two is within a predetermined tolerance range, the evaluation section 3 sends an instruction signal 7 indicating a match to the prediction calculation section 2, and the thermal equilibrium is determined. The predicted temperature signal 8 at the time is outputted from the predicted calculation unit 2. When the real-time temperature and the real-time predicted temperature do not substantially match, the evaluation section 3 sends an instruction signal 7 indicating the mismatch to the prediction calculation section 2, and instructs the prediction calculation section 2 to change the value of the parameter used in the prediction calculation. When the parameter change instruction signal 7 is input, the prediction calculation unit 2 changes the prediction calculation parameters, again predicts the current real-time temperature from the past elapsed time information and the past temperature information, and generates the real-time predicted temperature signal 6. Send to evaluation department 3. Thereafter, this operation is repeated until the real-time temperature and the real-time predicted temperature match. The display unit 4 receives the predicted temperature signal 8 at the time of thermal equilibrium and displays it. To summarize, in the electronic thermometer according to the present invention, the temperature at the present time is predicted from the temperature actually measured at a certain point in the past using a prediction function that defines temperature changes, and this predicted temperature is compared with the temperature actually measured at the present time, If the difference between the two is within a predetermined tolerance range, the temperature at thermal equilibrium is predicted and displayed.
If the temperature is outside the predetermined tolerance range, the temperature prediction function can be changed and this prediction calculation can be repeated. Note that even if the temperature measurement and prediction calculation are repeated even if the difference is within a predetermined tolerance range, and the difference is within the tolerance range a predetermined number of times, the predicted temperature in the thermal equilibrium state is displayed. good. Furthermore, once such a predicted temperature in a thermal equilibrium state is displayed, only that display function may be activated and all other calculation functions are stopped; however, even after displaying the predicted temperature in a thermal equilibrium state, temperature measurement and prediction continue The calculation may be repeated to update the predicted temperature display to a more accurate value. By the way, when measuring body temperature, there are a wide variety of observed temperature changes from the start of measurement to thermal equilibrium, depending on the thermal characteristics of the thermometer, the state of the measurement site, and the characteristics of the site itself. However, by limiting the thermal characteristics of the thermometer, these temperature changes can be classified into several patterns, that is, temperature changes can be defined. A very broad classification is the measurement of oral temperature and the measurement of armpit temperature. Although other classification methods are possible,
Here, we will explain body temperature measurement using oral temperature measurement. When body temperature is measured in the mouth in many different cases using a thermometer with limited thermal characteristics, it is found that thermal equilibrium is reached in about 3 to 5 minutes. If we carefully examine the difference U ^* between the temperature T _e at thermal equilibrium and the temperature T during the measurement, we will find that it follows the following formula with very good accuracy in the relatively early stages of measurement. U ^* = T _e − T = αt + β + C (t + γ) = …(1) where U ^* : Difference between temperature at thermal equilibrium and temperature during measurement t: Time from start of measurement C: Variable parameters α, β, γ , δ: A constant that is well suited to measurements under certain conditions. Especially when measuring body ^temperature in the mouth, for ^example , the following formula is empirically used: It is well established. Here, when the unit of t is given in seconds, U ^* is given in degrees Celsius. Therefore, the calculation formula is constructed so that the predicted temperature T _p when the temperature T _e at thermal equilibrium is predicted corresponds to the temperature T at the time of prediction plus the corrected temperature difference U corresponding to equation (2). become. Therefore, U=T _p -T=-0.001t+0.05+C(t+1) ^-1.0 (6≦C≦26) (3) is the first prediction function that provides a predicted corrected temperature difference. FIG. 2 shows a curve when the value of the parameter C is changed from C=6 to C=26. Note that equation (3) also holds true for rectal temperature measurement. Now, the flowchart of FIG. 3 shows an example of an algorithm for the process of predicting temperature in the apparatus shown in the block diagram of FIG. In the start step 101, the power is turned on and the temperature measurement unit 1 operates, and the temperature measurement step 102 begins. Next, the prediction calculation unit 2 monitors the real-time temperature signal 5 from the temperature measurement unit 1, detects the establishment of measurement start conditions such as the rate of temperature change, and performs the elapsed time measurement step 10.
At the same time as step 3 is carried out, a parameter initial setting step 104 in the prediction calculation step is carried out, and the parameter of equation (3) is set to C=6. The predictive calculation unit 2 stores temperature and elapsed time information necessary for subsequent steps, and is capable of predictive calculation of the current temperature based on this past information. This step of predicting and calculating the current temperature consists of a temperature increment calculation step 105 and an addition step 106.
The temperature increment ΔU is the elapsed time t _x a little before the current time t
Temperature T _x at time point and predicted temperature T' at present time t
Therefore, when performing this prediction calculation, the following equation is applied as the second prediction function. ΔU=U _x −U=−0.001(t _x −t)+C{(t _x +1) ^{−1
．． 0} −(t+1) ^-1.0 }(6≦C≦26) …(4) _T ′=T , the elapsed time t′ a little earlier, and the measured temperature T _x at t′
From this, the predicted temperature T′ at the present moment is calculated using equations (4) and (5). However, in the first calculation process, the parameter C is set in the initial setting process 104.
As mentioned above, C is set to 6 in . In this way, the current predicted temperature T' is input to the evaluation section 3 as the real-time predicted temperature signal 6. The evaluation unit 3 receives the current measured temperature T from the temperature measurement unit 1.
A real-time temperature signal 9 corresponding to 1 is input, and in an evaluation step 107, the difference between the current predicted temperature T' and the current measured temperature T is monitored, and an instruction signal 7 is output according to the following conditions. , the next step is instructed. When T-T'≧f, go to step 108 for increasing the parameter C. When |T-T'|<f, go to corrected temperature difference calculation step 110. When T-T'≦-f, go to step 109 to display an error.
Proceed to. Here, f is an appropriately selected evaluation function, but if the following function is used, the evaluation process will be relatively easy. f ^{= (} _t This corresponds to the fact that it is becoming smaller. Figure 4 shows how f changes when the value 10 seconds before the current time t is used for _tx .
In principle, equation (6) follows equation (7) below. f=(U _x,c=c+1 −U _c=c+1 )−(U _x,c=c −U _c=c …(7) Now, in the evaluation step 107, the instruction signal 7 causes an increase step of C. 108, the prediction calculation section 2 immediately sets the parameter C to C+1, passes through the upper limit determination step 111, follows the loop 201, and again executes the temperature increment calculation step 105 and the addition step 106, and calculates the real-time predicted temperature signal 6. is sent to the evaluation section 3. The same operation is repeated until entering the loop 202 of the corrected temperature difference calculation step 110. On the other hand, the instruction signal 7 causes the corrected temperature difference calculation step 1.
Upon receiving the instruction 10, the prediction calculation section 2 performs an addition process 112 on this and outputs a predicted temperature signal 8 at the time of thermal equilibrium to the display section 4. Entering this loop 202 corresponds to determining that the parameters of prediction calculation formula (3) are appropriate. Further, when the determination result of the evaluation step 107 is T-T'≦-f, the instruction signal 7 instructs the display unit 4 through the prediction calculation unit 2 to display an error. Similarly, when C>26 is determined in the upper limit determination step 111 of the parameter C, the prediction calculation unit 2 instructs the display unit 4 to display an error. Error indications correspond to cases where the normal measurement conditions have been significantly deviated from. In this way, the present invention predicts the current temperature using a prediction calculation formula based on past elapsed time and temperature information corresponding to the past time, and then calculates the prediction calculation formula by comparing this predicted value with the actual measured value. This process is repeated to select the optimal prediction formula and accurately predict the temperature at thermal equilibrium. The method explained so far is mainly based on the idea of predicting the current temperature based on the past elapsed time and corresponding temperature information, and comparing it with the actual measured value. It goes without saying that the concept of predicting and calculating the future temperature from the current temperature information and comparing it with the actual measured value at that time has exactly the same meaning. Furthermore, the basic equation that provides the difference U ^* between the temperature at thermal equilibrium and the temperature during measurement is not limited to equation (1). As described above, the essential aim of the present invention is to solve the problem of accurately predicting and displaying body temperature at a time of thermal equilibrium at a stage before reaching thermal equilibrium. Based on this, the current temperature is predicted and calculated, and the prediction calculation formula is corrected by comparing it with the current measured value, and this process is repeated to select the optimal prediction calculation formula and achieve the objective. It is something. Therefore, as long as it does not deviate from this essence,
The algorithms that accomplish this are all inclusive. For example, in FIG. 3, the steps from the calculation step 110 of the corrected temperature difference U to the display step 113 are replaced with the immediately preceding step of the parameter change step 108 or the evaluation step 1.
It is also possible to place it immediately before 07. In other words, the display is actually executed even when the parameter C is not valid, but by doing so, the display will show the rising trend of the temperature. The reason for this is that the initial value of the parameter C is set to the minimum value C=6, but this produces an effect that gives the impression of a natural temperature rise to the observer on the display side. 5 and 6 are a block diagram and a flowchart of an electronic thermometer for both oral and armpit temperature measurement. In this example, a detailed description of the configuration of the example shown in FIG. 1 is also shown so that it can be easily considered. The formula for the corrected temperature difference for oral temperature measurement was previously illustrated, but the first predictive function that can be used for both purposes is U ₁ = (-0.0025A-0.0035)t+0.5A+0.55+C when 10<t≦100.
(t+1) ^A ...(8) At t>100, U ₂ = (-0.0025A-0.0035)t+0.5A+0.55+C
(t+1) ^A +0.02(t-100)/(C+10)...(9). Here, A is a variable parameter, and the variable range of C with respect to A is as shown in Table 1. A
When A=-1.0, equation (8) matches equation (3), and when A=-0.6, equations (8) and (9) become equations for the corrected temperature difference in armpit temperature measurement.

[Table] In the embodiment shown in FIG. 5, a temperature sensing element 10 such as a thermistor is connected to a temperature measurement circuit 11,
Its output 5 is connected to the temperature memory 17, and its output 37 is connected to the temperature threshold detection circuit 12, the temperature change detection circuit 13 and the latch 26. The temperature threshold detection circuit 12 is a circuit that detects whether the real-time temperature signal 37 exceeds a predetermined threshold. The temperature change detection circuit 13 is a circuit that detects the rate of change of the real-time temperature signal 37. Latch 26 is a circuit that temporarily stores real-time temperature. The clock signal generator 14 is a circuit that generates a basic clock for operating this device, and is activated by the temperature threshold detection circuit 12, and is activated by the temperature change detection circuit 13, time measurement circuit 16, and temperature memory 17.
Supplies clock to etc. The temperature memory 17 is a storage device that stores the temperature outputs 5 of the temperature measurement circuit 11 in chronological order. The output 46 is connected to the moving average calculating section 18. The moving average calculation unit 18 is an arithmetic circuit that calculates an arithmetic average, and its output 50 is connected to the addition circuit 22 and the output 53 is connected to the subtraction circuit 23. The time measurement circuit 16 is a circuit that measures the elapsed time of temperature measurement using the clock of the clock signal generator 14, and the elapsed time signal 45 is sent to the main calculation unit 2.
0. Further, the 10 second elapsed signal 42 is supplied to a control circuit 15, and the control circuit 15 is a control circuit that sends an initial setting signal 44 to the main counter register section 19 in response to the 10 second elapsed signal 42. The main counter register section 19 is connected to the main calculation section 20. The former, as explained later,
This is a counting circuit that sets and counts the optimal number of loop circulations N, parameters C and A, and the latter monitors the elapsed time signal 45 and selects calculations and processing according to its magnitude, and calculates the corrected temperature difference U, This circuit performs calculations and processing such as calculating the evaluation function f, monitoring the number of circulations N and the corrected temperature difference, instructing the next process according to the magnitude thereof, and outputting the corrected temperature difference. The output 48 of the main calculation section 20 is connected to the temperature increment calculation circuit 21, and the output 51 is connected to the evaluation calculation section 24. The temperature increment calculation circuit 21 is a circuit that calculates the temperature increment ΔU, and the evaluation calculation unit 2
4 is the evaluation function f given from the main calculation unit 24
This is a circuit that evaluates the difference between the result of predicting the current temperature using data from 10 seconds ago and the real-time temperature. The instruction signal 7, which is the evaluation output, is input to the main counter register section 19. An instruction signal output 54 of the main calculation section 20 is connected to an adder circuit 25, and an output 56 of the adder circuit 25 is connected to a display 27. The addition circuit 25 is an addition circuit that calculates the predicted temperature T _p at the time of thermal equilibrium. The display 27 is a display device that visually displays the predicted temperature T _p at the time of thermal equilibrium calculated by the adding circuit 25 or the real-time temperature latched by the latch 26. A buzzer 28 is connected to the instruction output 55 of the main calculation section 20, and the buzzer 28 is a sounding device for audibly indicating the end of temperature measurement. Now, when measuring body temperature, in a starting step 101, the temperature measuring circuit 11 receives the electrical output 36 of the temperature sensing element 10 and implements the temperature measuring circuit 102. The real-time temperature signal 37 from the temperature measurement circuit 11 is subjected to a threshold detection step 115 in the temperature threshold detection circuit 12, so that the real-time temperature signal 37 is converted to a preset threshold value, for example, 30.
When the temperature exceeds ℃, it is changed to ON signal 38. ON signal 38 causes clock signal generator 14 to perform clock start step 116 by activating clock signal generator 14.
The clock signal generator 14 is connected to the temperature change detection circuit 13.
A clock signal 40 is sent to. Temperature change detection circuit 1
3 detects a temperature change using the real-time temperature signal 37 and the clock signal 40 in step 17;
For example, it is determined whether there is a temperature rise of 0.1°C or more per second. When the temperature change exceeds this threshold, the temperature change detection circuit 13 sends an ON signal 39 to the control circuit 15 to put the control circuit 15 into operation. When the control circuit 15 becomes operational, it sends a control signal 29 to the time measurement circuit 16, causing the time measurement circuit 16 to start receiving the clock signal 43 from the clock signal generator 14, and execute the elapsed time measurement step 103. . The time measurement circuit 16 sends an elapsed time signal 45 and a 10 second elapsed signal 42 to the main calculation unit 20 and the control circuit 15, respectively, and the latter sets an initial value for the control circuit 15 as an output of the result of step 118. Instructions for steps 119 and 120 are provided. Step 118 is for stopping the calculation process since it is clear that the following prediction process is completely unreliable over a time period of less than 10 seconds. The control circuit 15 receives the 10 second elapsed signal 42, sends an initial value setting signal 44 to the main counter register section 19, sets the optimum loop circulation number N to N=0, and sets the parameter A
Initialize A to A=-0.8 and C to C=10. On the other hand, the elapsed time signal 4 from the time measurement circuit 16
5 is input to the main calculation section 20, together with the parameter signal 47 from the main counter register 19.
It is used to calculate equations (8) and (9). The main calculation section 20 has a function of monitoring the elapsed time signal 45 and selecting a calculation step and a processing step according to its magnitude, a function of calculating a corrected temperature difference U, and an evaluation function f (described later) (blocks 33 and 33, respectively). 34), a function to monitor the corrected temperature difference, a function to instruct the next process according to the magnitude, and a function to output the corrected temperature difference. In calculating the corrected temperature difference U, the same parameters are used to determine two corrected temperature differences for the elapsed time t and thus for the previous t _x , for example t-10 (ie, a point in time 10 seconds ago). These differences correspond to the second prediction function for determining the temperature increment ΔU, and correspond to equation (4),
In this example, when 10<t≦100, ΔU ₁ =U _x −U=(−0.0025A−0.0035)(t _x −t)
+C {(t _x +1) ^A − (t+1) ^A } …(10) At t>100 ΔU ₂ =U _x −U=(−0.0025A−0.0035)(t _x −t)
+C{(t _x +1) ^A −(t+1) ^A }+0.02(t _x −t)/
(C+10) ...(11). Now, the judgment steps 121 and 129 are executed by the above-mentioned functions of the main calculation section 20, and a corrected temperature difference calculation step 135 or 136 is entered using equations (8) and (9). The corrected temperature difference U is sent, for example, every second, in order that the two values for t and t _x are used in the calculation step 122 in the temperature increment calculation circuit 21 by means of a signal 48 . The flowchart in Figure 6 shows an algorithm for calculating ΔU using equations (10) and (11), but this part is a subroutine for calculating U as shown in the block diagram in Figure 5. It is also possible to keep it in the same format. The temperature output 5 of the temperature measurement circuit 11 is always sent to the temperature memory section 17, and according to the storage instruction signal 41 every second, for example, from the clock signal generator 14, it is stored in order from the oldest data as, for example, 14 pieces of data for 14 seconds. be remembered. As new data is sampled and stored in the newest data storage location, the oldest data is discarded. From the temperature memory 17, for example, the oldest 4 data and the newest 4 data are stored.
Each piece of data is conveyed by a signal 46 to the moving average calculation unit 18, where an arithmetic average value is calculated for each. These calculation results are treated as the temperature T _x of each eye 10 seconds ago and the current temperature T, respectively, and the former is sent as a T _x signal 50 to an adder circuit 22 that performs an addition step 106 for real-time predicted temperature calculation. input. Note that the reason for handling the values such as T and T _x using moving average values is to prevent temporary fluctuations in the results, and is not necessarily an essential process. Here, the addition circuit 22 performs the addition step 106 of the output ΔU of the temperature increment calculation circuit 21 and the output T _x of the moving average calculation section 18, and outputs the real-time predicted temperature signal 6 to the subtraction circuit 23. The subtraction circuit 23 receives the T output 53 from the moving average calculation unit 18, subtracts the real-time predicted temperature T' from T, and outputs the result 52.
It is sent to the evaluation calculation unit 24 as The evaluation calculation unit 24 uses the evaluation function output (f) 51 from the main calculation unit 20 to evaluate the difference between the result of predicting the current temperature from data from 10 seconds ago and the real-time temperature in an evaluation step 107. do. Evaluation function f in this case
is basically formula (7), but when 10<t≦100, f ₁ = (t _x +1) ^A − (t-1) ^A …(12) When t>100, f ₂ = (t _x +1 ) ^A −(t+1) ^A +0.02{1/(C+
11)-1/(C+10)}(t _x -t)...(13) The evaluation results are divided into three types: when T-T'≧f, proceed to the step of increasing parameter C; when |T-T'|<f, proceed to the next step without changing the parameter; and T-T'≦-f. At this time, an instruction signal 7 for proceeding to the step of decreasing the parameter C is output. When entering the step 128 of increasing the parameter C, N is first set to N=0, and then the current value of the C _A counter register 31 is increased by one. At the same time, in a decision step 131, the maximum value is monitored according to Table 1. When C _MAX is exceeded, step 134 is entered and the current value of the A counter register 31 is increased by 0.1. Further judgment step 13
At step 8, the value of A is monitored, and when A>-0.6, an error signal 58 is sent to the display 27 to display, for example, E. Judgment process 131, 13
When a NO sign is issued at 8, the process automatically returns to the start of calculation. N when entering a loop that does not change parameters
After the counter register 30 performs step 126, it enters a corrected temperature difference calculation step 135 or 136. Since a loop in which parameters are not changed is passed when the parameters used in the calculation are appropriate, a step 126 is provided to check the optimal loop circulation number N, which records how many times this loop has been repeated. The corrected temperature difference calculation result is monitored by the main calculation unit 20, and an instruction signal is sent to the end process when U<0, to the display process when 0≦U<0.1, to the determination process of the optimal loop circulation number N when U≧0.1. is served. When the corrected temperature difference U is 0.1° C. or more, the instruction signal 54 is outputted only when the optimum loop circulation number N is 3 or more in the judgment step 150, and the addition step 112 of the adding circuit 25 is performed. Judgment step 150 is step 1
Together with 19, 124, 125, and 126, this is intended to display the predicted temperature at thermal equilibrium only when the optimum loop has been passed three or more times in succession. However, since there is not much need for this when U<0.1, the algorithm is created so that when 0≦U<0.1, the process immediately proceeds to the addition step 112, and when U<0, the process immediately proceeds to the real-time temperature display step 140. The real-time temperature signal and the corrected temperature _difference , which are not shown in FIG. , is displayed in the display step 113. When U<0, the instruction signal 55 activates the latch 26, latches the real-time temperature signal 37, and displays the real-time temperature at the latch output 57.Step 1
40 is executed and the end step 154 is entered. At the same time, an instruction is also given to the buzzer circuit 28 for sounding the buzzer in the buzzer step 151. When an instruction to proceed to the step of decreasing the parameter C is issued in the evaluation step 107, steps 127 and 127, which are similar to the step of increasing the parameter C, are performed.
130, 132, 137 are implemented. In this example, oral temperature measurement for A=-1.0, A
= -0.6 armpit temperature measurement is automatically determined,
The system is configured to predict body temperature suitable for each temperature measurement method. It goes without saying that the portion 70 surrounded by a dashed line in FIG. 5 can be implemented by a microcomputer. Specific Effects of the Invention The electronic thermometer according to the present invention modifies the prediction calculation parameters, that is, the prediction function according to the evaluation result while evaluating the prediction result by the selected prediction function, so that relatively high prediction accuracy can be obtained. Further, since the type of prediction calculation formula and the parameters included therein can be arbitrarily selected, temperature prediction can be performed with high accuracy according to each of mouth temperature measurement and armpit temperature measurement using the same electronic thermometer.

[Brief explanation of drawings]

Figure 1 is a block diagram showing the basic configuration of the electronic thermometer according to the present invention, and Figure 2 is a diagram showing the basic configuration of the electronic thermometer according to the present invention.
6 to 26, FIG. 3 is a flowchart showing the operation of the device shown in FIG. 1, and _FIG . 5 is a block diagram showing an example of an electronic thermometer for both oral temperature measurement and armpit temperature measurement according to the present invention, and FIG. FIG. 2 is a flow diagram showing the operation of the device shown in FIG. Explanation of symbols of main parts, 1...Temperature measurement section, 2
...Prediction calculation section, 3...Evaluation section, 4...Display section,
10... Temperature sensing element, 11... Temperature measurement circuit, 14
... Clock signal generator, 15 ... Control circuit, 16 ... Time measurement circuit, 17 ... Temperature memory, 19 ... Main counter register section, 20 ... Main calculation section, 21 ... Temperature increment calculation circuit, 22 ……
Addition circuit, 23... Subtraction circuit, 24... Evaluation calculation section, 25... Addition circuit, 26... Latch, 27...
…display.

Claims (1)

[Claims] 1. A temperature detection unit that detects the temperature of the part to be measured;
In an electronic thermometer, the prediction calculation unit includes: a prediction calculation unit that predicts an equilibrium temperature according to the detected temperature; and a display unit that displays the predicted equilibrium temperature; the prediction calculation unit includes: a determination unit that determines a measurement start condition; a clock means for measuring the elapsed time of measurement after the start of the measurement; a storage means for storing a plurality of prediction functions that define temperature changes until the equilibrium temperature is reached using the elapsed time of measurement as a variable; a selection means for selecting a predetermined one from among the functions; and a first calculation for calculating a predicted value of the detected temperature at a certain point in time based on a prediction function selected from the detected temperature at a specific point in time and the measurement elapsed time at that specific point in time. means, second calculation means for calculating a predicted value of the equilibrium temperature based on the selected prediction function from the detected temperature at the specific point in time, and a predicted value calculated by the first calculation means and the certain point in time and, if the difference is outside a predetermined range, select a new prediction function from the storage means at the next prediction time, and if the difference is within a predetermined range, select the second prediction function. and evaluation means for displaying on the display means a predicted value of the equilibrium temperature determined by the calculation means. 2. The prediction function consists of a first and a second prediction function, the first prediction function is a prediction function for determining a corrected temperature difference representing the difference between the detected temperature and the predicted value of the equilibrium temperature, and the second prediction function The prediction function is a prediction function for determining the temperature increment at a certain point in time based on the detected temperature a predetermined time ago, and the selection means selects the second prediction function, and the first calculation means selects the second prediction function. The second calculation means calculates the predicted value of the equilibrium temperature based on the first prediction function corresponding to the selected second prediction function, and the second calculation means calculates the predicted value of the equilibrium temperature based on the first prediction function corresponding to the selected second prediction function. 2. The electronic thermometer according to claim 1, wherein the means selects a new second prediction function by the next prediction time. 3 The first prediction function is U=αt+β+K(t+γ)〓 U: Correction temperature difference t: Measurement elapsed time K: Variable parameters indicating the degree of temperature rise α, β, γ, δ: Constants An electronic thermometer according to claim 2. 4 The first prediction function is U=(aA+b)t+cA+d +K(t+d) ^A +e[t- _t0 ]/(K+f) U: Correction temperature difference t: Measurement elapsed time A: Variable parameter depending on the part to be measured K : Variable parameters that indicate the degree of temperature rise a, b, c, d, e, f: Constant t ₀ : Constant that indicates a predetermined point in the elapsed measurement time [ ]: 0 if the value inside [ ] is negative; 3. The electronic thermometer according to claim 2, wherein the electronic thermometer is a symbol indicating the value when the value is not the same. 5. A patent characterized in that the evaluation means causes the display means to display the predicted value of the equilibrium temperature obtained by the second calculation means when the difference continues to be within a predetermined range for a predetermined period, and stops the prediction calculation. An electronic thermometer according to claims 1 to 4. 6. Claims 2 to 4, characterized in that the selection means selects the second prediction function that corresponds to the first prediction function in which the temperature rise with respect to the measurement elapsed time is average. An electronic thermometer as described in any of the above. 7 The selection means selects the second prediction function corresponding to the first prediction function that approaches the equilibrium temperature early with respect to the measurement elapsed time, and the evaluation means selects the second prediction function that corresponds to the first prediction function that approaches the equilibrium temperature gradually with respect to the measurement elapsed time. The electronic thermometer according to any one of claims 2 to 4, characterized in that second prediction functions corresponding to the prediction functions of are sequentially selected. 8. The storage means stores a plurality of first and second prediction functions defined according to measurement conditions from the armpit to the inside of the mouth, and the selection means stores a plurality of first and second prediction functions defined according to the measurement conditions between the armpit and the inside of the mouth. The electronic thermometer according to any one of claims 2 to 4, characterized in that a corresponding second prediction function is selected. 9. Claims 1 to 4, characterized in that the determining means determines that the temperature detection section detects a temperature equal to or higher than a predetermined value, and that the detected temperature shows a rate of increase equal to or higher than the predetermined value. The electronic thermometer described in any of the paragraphs. 10 The detected temperature at the time before the present time is the time before the present time and at least the one closest to that time.
Claims characterized in that the current detected temperature is the arithmetic mean of the current detected temperature and at least one preceding detected temperature closest to the current point. The electronic thermometer according to any one of paragraphs 1 to 4.