JPH06189914A - Biological rhythm curve measuring device - Google Patents

Abstract

PURPOSE:To provide a biological rhythm curve measuring device, by which while disturbance is applied to a tested person in an ordinary working place, the influence of the disturbance is removed to measure the true biological rhythm curve. CONSTITUTION:A biological rhythm curve measuring device comprises a main sensor part 2 for measuring the temperature of a deep part of the living body, an auxiliary sensor part 3 for measuring the disturbance, a timer means 4 for deciding the measuring timing of the respective sensor parts 2, 3, a storage means 5 for storing the measurement results of the respective sensor parts 2, 3 in time series, a correcting means 6 for correcting the influence of disturbance on the measurement result of the main sensor part 2 according to the measurement result of the auxiliary sensor part 3 at least, and a rhythm curve output means 8 for outputting the corrected rhythm curve of the body temperature.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a biorhythm curve measuring device for measuring a biorhythm curve from a measured value of human core body temperature, and more particularly to a biorhythm (circadian rhythm) of about one day cycle. It is used for the purpose of measuring in daily life.

[0002]

2. Description of the Related Art When various biological phenomena are expressed in time series, they often show periodicity. Moreover, many of them are considered to be self-excited vibrations, and are collectively called biorhythms. Biological rhythms are divided into several types according to their cycle, and they range from a long one year to a few seconds. Humans become more active and active in the light period, and become less active and enter rest during the dark period. This is due to the Circadian rhythm.
m: biological rhythm (biological rhythm) carved by a biological clock called a rhythm with a cycle of about one day.
Is one of.

Of the biological rhythms, the one most closely related to human life is the circadian rhythm having a cycle of about one day. Typical circadian rhythms in humans include temperature fluctuations, sleep-wake cycles, and hormone secretion fluctuations. In addition, physiological phenomena that accompany human life, such as mental and physical activity, work and exercise ability, sensitivity to drugs, and autonomic functions, may be considered to be circadian fluctuations.

At present, the theory that human circadian rhythm may be divided into two groups of vibrators, a group centering on the core body temperature rhythm and a group centering on the sleep-wake cycle, is predominant. It is said that the core body temperature rhythm is influenced by the light-dark cycle, and the sleep-wake cycle is influenced by the social entrainment factor.
At the laboratory level, there are quite advanced technologies such as polygraphs for monitoring arousal level and biological rhythm, but they do not cause pain to the subjects in daily work situations, and
Under the present circumstances, there is no hindrance to the work behavior, and the activity of the living body cannot be monitored non-invasively.

The method of measuring the biological rhythm based on the body temperature will be described below. The body temperature, especially the core body temperature rhythm, has little influence from the outside, shows a clear circadian rhythm, has a fairly clear relationship with other rhythms, and is capable of continuous measurement. It is regarded as the most important indicator of circadian rhythm. Candidates for deep body temperature measurement include rectal temperature, eardrum temperature (temperature at the back of the ear canal wall), esophageal temperature, deep subcutaneous temperature, urine temperature, vaginal temperature, pulmonary arterial blood temperature, etc. It is rectal temperature that satisfies the condition that continuous measurement of time is possible.
However, it is a disadvantage that all of them are measurement methods that give psychological or physical pain to the subject.

A general method for measuring rectal temperature is to insert a probe with a thermistor embedded at the tip from the anus for 10 cm or more and fix it with tape so that it will not come off. A device for calculating a temperature from a resistance value of a thermistor and storing it in a memory is commercially available as a portable thermometer. In addition to the method of directly measuring the rectal temperature, a device (core temp) capable of measuring the deep body temperature from the surface of the skin by the convective heat exchange method is commercially available. The larger the sensor diameter, the deeper the body temperature can be measured, approximately 10m from the skin surface.
It is possible to measure body temperature up to m depth. However, in this method, the sensor needs to heat the skin, and when it is used for a long time like rhythm measurement, there is a risk of low temperature burns, and care must be taken in handling.

Next, a method of analyzing the biological rhythm will be described. Basically, the analysis of biological rhythm is to find the three elements of rhythm (cycle, phase, shape). In order to analyze the body temperature rhythm, the period and the minimum value phase are calculated, and the amplitude is calculated as the characteristic of the shape. In the body temperature rhythm, the minimum value phase is an especially important factor, but this is generally obtained by visual inspection.

As a method of obtaining the rhythm cycle from the data measured at regular intervals, the autocorrelation method (correlogram), the power spectrum method, the cosigner method, the periodogram method, etc. can be used. For body temperature rhythm, the cosigner method and the periodogram method are often used. The cosigner method is a method for obtaining the period, amplitude, and phase by least-squares approximation to a sine wave.

Next, as a method for exactly obtaining the circadian rhythm, a constant routine (Consta)
nt route) method is known. Since this method is affected by disturbance even in deep body temperature, it does not mean that the true rhythm is expressed as it is. It is a method to measure the rectal temperature for several tens of hours and obtain the cycle, amplitude, and phase of the core body temperature.

On the other hand, as an apparatus for measuring the biological rhythm from the results of body temperature measurement in daily life, Japanese Patent Application No. 15344/1993.
No. 3 application proposes a biological rhythm curve measuring device including means for correcting the influence of disturbance on the deep body temperature measurement result and means for estimating a true rhythm curve from the body temperature rhythm curve.

[0011]

As described above, as a method for analyzing a biological rhythm by measuring a body temperature, a visual inspection method, a cosinar method, and a constant routine method are generally used. However, a quantitative analysis is performed by the visual inspection method. There is a problem that you can not. Further, the cosinar method has a problem that the distortion of the body temperature curve due to the disturbance cannot be corrected, and further, there is a fundamental problem that the waveform of the body temperature rhythm is not always sinusoidal.

[0012] Next, the constant routine method can eliminate the influence of disturbance, but has the problem that the subject must be held in the laboratory for several tens of hours, and rhythm measurement in daily life is impossible. This method means measurement in a state where the biorhythm is free running. Therefore, it is not possible to know what the biological rhythm is like in normal life, which is affected by the entrainment factor of the 24-hour cycle. Of course, it is important to know the free-run cycle and the phase in order to know the characteristics of the biological rhythm, but in actual social life, to what extent do the social factors such as the 24-hour cycle entrainment factor or work rotation? It is considered more important to know whether or not the body rhythm is well adjusted and that the biological rhythm is sharp. In addition, Japanese Patent Application No. 3-1
In the method proposed in the application of No. 53443, the disclosure of the disturbance influence correction means is insufficient.

The present invention has been made in view of the above points, and an object thereof is to remove the influence of the disturbance while giving the disturbance to the subject in a daily work scene. It is an object of the present invention to provide a biorhythm curve measuring device capable of measuring the biorhythm curve.

[0014]

In order to solve the above-mentioned problems, in the biological rhythm curve measuring device according to the present invention, as shown in FIG. 1, a main sensor for measuring the deep body temperature of the living body. Part 2, a sub-sensor part 3 for measuring disturbance,
A timer means 4 for determining the measurement timing of each sensor section 2, 3, a storage means 5 for storing the measurement result of each sensor section 2, 3 in time series, and a measurement result of at least the sub-sensor section 3. Correction means 6 for correcting the influence of disturbance on the measurement result of the main sensor unit 2 based on
And a rhythm curve output means 8 for outputting the corrected rhythm curve of the body temperature. As shown in FIG. 2, the measurement items of the sub-sensor unit 3 are the outside temperature, the illuminance, the physical activity level, the body posture state, It is characterized by including at least one or more of electrocardiographic information (heart rate, RR interval, etc.).

Further, as shown in FIG. 6, in the correcting means 6, the disturbance influence determining means 65 for determining the type of disturbance and the magnitude of the influence in time series from the measurement result of the auxiliary sensor section 3, and the disturbance influence. It is characterized in that it is provided with a disturbance influence correction means 62 for deleting and complementing or correcting the data of the main sensor section according to the output result of the judging means 65. It is preferable to further include an estimating unit 7 that estimates a true rhythm curve from the corrected rhythm curve of the body temperature, and a characteristic parameter output unit 9 that outputs a characteristic parameter of the rhythm curve.

[0016]

In the present invention, the main sensor unit 2 measures the rectal temperature, the eardrum temperature (or the temperature behind the wall of the ear canal) or the core temperature of the trunk, and the sub sensor unit 3 measures the outside air temperature, illuminance, physical activity, Body posture, ECG information (heart rate, R
-R interval, etc.) is measured. The measurement timing of each sensor unit 2 and 3 is determined by the timer unit 4, and the measurement data is stored in the storage unit 5 in time series. Based on the stored measurement result, as shown in FIG. 6, the correction means 6 including the disturbance influence determination means 65 and the disturbance influence correction means 62 determines the type of disturbance and the magnitude of the influence in time series. After the determination, the main sensor unit 2 according to the result
The effect of disturbance is removed from the deep body temperature by the method of deleting and complementing the data of 1. and the rhythm curve output means 8 outputs the rhythm curve of the body temperature.

[0017]

FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention. In this embodiment, the detection unit 1 includes a main sensor unit 2 and a sub sensor unit 3. The main sensor unit 2 is
It is for deep body temperature measurement, and its main measurement item is rectal temperature. A general method for measuring rectal temperature is to insert a probe with a thermistor embedded at the tip from the anus for 10 cm or more, and fix it with tape to prevent it from coming off. A device for calculating a temperature from a resistance value of a thermistor and storing it in a memory is commercially available as a portable thermometer. However, if it is difficult to measure the rectal temperature, the eardrum temperature (which may be the temperature behind the ear canal) or the core temperature of the trunk is measured as an alternative measurement item. Further, the sub-sensor unit 3 is for disturbance measurement,
The main measurement items are ambient temperature and illuminance, physical activity, posture state, and electrocardiographic information (heart rate, RR interval, etc.). The timing of the deep body temperature measurement and the disturbance measurement by the detection means 1 is determined by the timer means 4. Variable sampling can be performed by setting the timer time of the timer means 4 arbitrarily. As a result, the sampling cycle can be shortened in the portion where the body temperature fluctuation is large, and the sampling cycle can be lengthened in the portion where the body temperature fluctuation is small, so that efficient measurement data can be collected.

The measurement data of the main sensor section 2 and the sub sensor section 3 of the detection means 1 are stored in the storage means 5 in time series. The measurement interval by the above-mentioned timer means 4 is 1 minute to 5 minutes.
It is preferable to set it in the range of minutes, but the measurement interval is, for example, 1
Set it as short as a minute, and set a number of adjacent units (for example, 5 units)
Alternatively, the average value of the measurement data may be calculated and the average value may be stored in time series.

Next, in the correction means 6, the measurement data stored in the storage means 5 in a time-series manner is supplemented with the missing value of the measurement data of the deep body temperature measured by the main sensor portion 2, and the auxiliary sensor portion 3 is used. The body temperature rhythm curve is extracted by correcting the influence of disturbance elements based on the disturbance measurement data and further removing high frequency noise with a low frequency pass filter. The estimating unit 7 has a curve fitting unit that uses a periodic function curve that approximates the body temperature rhythm, a unit that estimates the valleys and peaks of the rhythm curve from the front and rear point sequences. The rhythm curve output means 8 is means for displaying the waveform of the rhythm curve, and is composed of, for example, an LCD display with a graphic function. Characteristic parameter output means 9
Is for calculating and outputting the characteristics of the rhythm curve of body temperature. Here, other characteristics of the rhythm curve include, for example, a duty ratio, a spectrum, a rising slope,
The number of maximum values, the number of minimum values, etc. are mentioned.

Next, the detailed structure of the detecting means 1 will be described with reference to FIG. In the figure, 21 is a thermistor rectal temperature sensor, which measures the rectal temperature as a core body temperature. The measurement data is stored in the data logger 51. The data logger 51 is a storage means for storing various measurement data in time series. Reference numeral 31 is an acceleration sensor, which has a structure such as a pedometer and is attached to the wrist of the subject to detect the acceleration of the wrist. Reference numeral 32 is an activity meter, which detects the activity level of the body based on the acceleration of the wrist. 31 may be worn not only on the wrist but also on the abdomen like a pedometer, in which case 32 will detect the overall activity.
The measurement data is stored in the data logger 51 as the number of zero crossings of the acceleration output per unit time or the integrated value of the acceleration output. 33 is a light receiving sensor,
The energization amount changes according to the received light amount. An illuminance meter 34 measures the ambient illuminance by the output of the light receiving sensor 33. The measurement data is stored in the data logger 51. Reference numeral 35 is a thermistor outside air temperature sensor, which measures the ambient temperature. The measurement data is also stored in the data logger 51. Reference numeral 36 denotes a piezoelectric or pressure-sensitive conductive sensor, which changes the amount of electricity depending on the pressing force. Reference numeral 37 denotes a posture measuring device, which indicates the posture of the human body, that is, whether the human body is standing or sitting or lying down by the output of the piezoelectric or pressure-sensitive conductive sensor 36 attached to the human buttocks or the upper back of the thigh. measure. The measurement data is
It is stored in the data logger 51. Reference numeral 39 denotes an electrocardiographic information measuring device, which measures electrocardiographic information such as a heart rate or an RR interval according to the output of the electrocardiographic (pulse) sensor 38. The measurement data is also stored in the data logger 51.

3 to 5 show examples of long-term measurement of rectal temperature, activity (wrist movement), heart rate (beats / minute), and posture information. Activity (wrist movement) is represented by zero cross (times / minute). Further, the posture information is represented by whether or not the person is standing. In the figure, s indicates the sleeping period and w indicates the awakening period. Figure 3 shows the measurement in normal life (about 58 hours), Figure 4
Is a measurement (about 35 hours) under the condition that the influence of the disturbance is reduced as much as possible by suppressing the physical activity (FIG. 5), and the time axes of the measurement data of both conditions are aligned and overwritten for comparison. Each data is sampled every 1 minute. These data are from the same subject. As will be expected, the data of FIG. 3 is obtained in daily life, whereas the data of FIG. 4 is close to the body temperature rhythm curve to be estimated by the present invention. The rhythm was not measured in a free-run state, and the influence of the disturbance could not be removed as strictly as the Constant route method, but under the influence of an external entrainment factor of a 24-hour period, It can be considered that the biological rhythm curve to be estimated can be obtained by such body temperature fluctuation. Here, an example will be disclosed in which the influence of disturbance is removed from the body temperature data as shown in FIG. 3 to estimate the body temperature waveform close to the body temperature fluctuation as shown in FIG.

As for changes in rectal temperature, the body temperature was low during sleep and increased during awakening, which is the same tendency in normal life and activity suppression. 3 to 5, in the measured data in normal life, the masking of the body temperature rhythm is observed due to the influence of daily life, and in particular, the increase in body temperature due to physical activity (running walking, movement of limbs, etc.) and bathing. It is remarkable. In this way, the influence of the disturbance on the body temperature fluctuation usually appears in the direction of increasing the body temperature. Furthermore, there is a delay of several tens of minutes in the response of rectal temperature to the event that causes the rise in body temperature. From these things, as a means to correct the influence of disturbance, first, from the measurement data of the sub-sensor, the section where the cause of the rise in body temperature is considered to be discriminated, and the body temperature reaction delay time was added to that section. It is considered that the rhythm curve should be estimated by setting the object as the section in which the body temperature is affected by the disturbance, and then deleting the body temperature data in the section and complementing the body temperature data before and after the section. If the body temperature is too long for the section affected by the disturbance to be complemented, it is conceivable that only the steeper body temperature fluctuation section is deleted and complemented, and then the whole is corrected downward.

Next, the detailed structure of the correction means 6 will be described with reference to FIG. First, in the measured body temperature data, noise in measurement may appear in addition to the influence of disturbance. Therefore, the noise removing means 61 removes the isolated point sequence separated by 0.1 ° C. or more as noise as compared with the surrounding point sequence. This utilizes the property that the core body temperature does not change rapidly.

On the other hand, the disturbance influence judging means 65 judges the appearance section of the disturbance element which is considered to affect the deep body temperature data based on the disturbance measurement data by the auxiliary sensor section 3, and the body temperature is set in the disturbance element appearance section. The section in which the reaction delay time is added is discriminated as the body temperature fluctuation section due to the disturbance element. The following can be considered as an example of determining the appearance section of the disturbance element that is considered to affect the core body temperature data. As a first example, a method of utilizing the output of the posture measuring device 37 and discriminating the appearance period of the disturbance element depending on the posture of the human body, that is, whether the human body is in the standing position or the sitting position or the lying position is conceivable. In this case, when the posture of the human body is expected to be affected by physical activity when it is standing, that section may be determined as the appearance section of the disturbance element. In this method, not only the output of the posture measuring device 37 but also the output of the illuminance meter 34 and the output of the outside air temperature sensor can be used. That is, since it can be determined that the user has gone out when the ambient illuminance has increased, it can be determined that the section is affected by physical activity, and that the disturbance element appearance section can be determined even when the outside air temperature sharply rises or falls. As a second example, a method is conceivable in which the output of the activity meter 32 is used and a section in which the amount of physical activity is larger than a certain set value is determined as an appearance section of a disturbance element. In this method, instead of the output of the activity meter 32, the output (heart rate or the like) of the electrocardiographic information measuring device 39 can be used. By the way, the section obtained by adding the body temperature reaction delay time to the disturbance element appearance section thus determined is determined as the body temperature fluctuation section due to the disturbance element, but as the body temperature reaction delay time, a value of several tens of minutes (for example, 20 to 30 minutes) may be set.

Next, the disturbance influence correcting means 62 corrects the deep body temperature data after passing through the noise removing means 61 based on the output result of the disturbance influence judging means 65. When the body temperature fluctuation section due to the disturbance element judged by the disturbance influence judging means 65 is not so long, the body temperature data of the fluctuation section is deleted, and then the body temperature data before and after is supplemented. As this complementing method, methods such as straight line complementing, higher-order curve complementing, and spline complementing can be adopted. Further, when the body temperature fluctuation section determined by the disturbance influence judging means 65 is too long to be deleted after the body temperature fluctuation section is deleted, in particular, only the body temperature fluctuation section judged to have a large influence of the disturbance is deleted. After supplementing, the whole method may be revised downward.

FIGS. 7 and 8 show the process of determining the body temperature fluctuation section due to the disturbance element and deleting and complementing the body temperature data as described above. (A) is before correction, (b) is after deletion, (c)
Is the data after completion. FIG. 7 shows the result of the disturbance influence correction according to the first example. Here, the section in which the posture of the human body is standing is determined as the appearance section of the disturbance element, the body temperature reaction delay time is set to 30 minutes, the body temperature fluctuation section due to the disturbance element is calculated, and the body temperature data is deleted and complemented. FIG. 8 shows the result of the disturbance influence correction according to the second example. Here, the zero cross count is used as the output of the activity meter 32, and
The section exceeding 0 times was discriminated as the appearance section of the disturbance element, the body temperature change delay time was set to 20 minutes, the body temperature fluctuation section by the disturbance element was calculated, and the body temperature data was deleted and complemented. In any of the examples, it is considered that the disturbance effect correction resulted in a waveform similar to that of the body temperature fluctuation in which the influence of the disturbance as shown in FIG. 4 was reduced as much as possible. By downwardly correcting the amplitudes of these output results based on the magnitude of physical activity and the like, it is possible to estimate a body temperature fluctuation waveform close to the body temperature fluctuation in which the influence of disturbance is further reduced as much as possible.

Next, the missing value complementing means 62 complements missing sections such as sections removed as noise and sections that could not be measured. As this complementing method, methods such as straight line complementing, higher-order curve complementing, and spline complementing can be adopted. Finally, the low-pass filter 64 removes high frequency noise from the measured data after the disturbance influence correction and the missing value complementation processing, and outputs a rhythm curve of the deep body temperature. This gives a very smooth rhythmic curve with a period of about 1 day.

Next, the estimating means 7 estimates the true rhythm curve of the deep body temperature from the rhythm curve of the deep body temperature obtained by the correcting means 6. For example, it is possible to perform curve fitting to the reference curve by least-squares approximation. As the reference curve, a function such as the following expression can be used as a modified trigonometric function. f (x) = A {1- (1-cos (2π (x−c) /
L)) ^2/4} where, A is the amplitude, L is the period of about 24 hours. As another reference curve, as shown in FIG. 9, a rectangular wave having a period of about 24 hours and a duty ratio of 1: 2 or a curve having its corners rounded may be used. this is,
The fact that the ratio of bedtime and wakefulness is about 1: 2 is used. Alternatively, as shown in FIG. 10, a triangular wave having a period of about 24 hours or a curved curve with its corners rounded may be used. In addition, reference data created by averaging data of several cycles of an individual can be used, but it goes without saying that this differs depending on the subject.

Next, a method of estimating the true rhythm curve by a method other than curve fitting to the reference curve will be described. For example, a method of obtaining a coefficient of an equation that fits the measurement data by using a differential equation expressing the non-linear vibration (Vanderpole type, Volterra type, etc.) can be considered. Alternatively, there is a method of estimating a curve near the lowest point or the highest point from the data time series of the rising and falling portions of the output curve of the correction means 6 or predicting a curve between them based on the front-back relationship. Models and linear AR
The MA model may be used. Further, the output of the low frequency pass filter 64 of the correction means 6 can be used as it is as an estimation curve. In this case, in particular, when determining the lowest point of the deep body temperature during sleep, the number of valleys is not limited to one, but the minimum value among the minimum values may be taken.

Since the eardrum temperature or the temperature in the inner part of the ear canal wall changes in the same manner as the rectal temperature, when it is difficult to measure the rectal temperature, an earphone type eardrum temperature as shown in FIG. 11 is used. The (in-ear temperature) sensor can be configured using a thermistor or an infrared radiation thermometer. Further, if a capsule thermometer is put into practical use, it becomes easy to non-invasively measure the deep body temperature of the trunk. In addition, a device capable of measuring the core body temperature from the surface of the skin by the convection heat exchange method may be used. With this device, the larger the diameter of the sensor, the deeper the body temperature can be measured, and it is possible to measure the body temperature about 10 mm deep from the skin surface. However, in this method, the sensor needs to heat the skin, and when it is used for a long time like rhythm measurement, there is a risk of low temperature burns, and care must be taken in handling.

[0031]

EFFECT OF THE INVENTION In the biorhythm curve device of the present invention, unlike the prior art in which the body temperature is measured without giving a disturbance to the subject, the disturbance given to the subject is measured by the sub-sensor unit, and the disturbance measurement data is obtained. Based on the result of distinguishing the type of disturbance and the magnitude of its influence based on the result, it was configured to quantitatively correct the deep body temperature measurement data obtained by the main sensor unit, so There is an effect that it becomes possible to measure the rhythm of deep body temperature.

[Brief description of drawings]

FIG. 1 is a block diagram showing the overall configuration of an embodiment of the present invention.

FIG. 2 is a block diagram showing a detailed configuration of a detection means used in an embodiment of the present invention.

FIG. 3 is a diagram showing an example of long-term measurement during normal life according to the present invention.

FIG. 4 is a diagram showing an example of long-time measurement during activity suppression according to the present invention.

FIG. 5 is a diagram showing a comparison of long-time measurement examples during normal life and activity suppression.

FIG. 6 is a block diagram showing a detailed configuration of a correction means used in an embodiment of the present invention.

FIG. 7 is an operation explanatory diagram of the first correction means using the output of the attitude measuring device.

FIG. 8 is an operation explanatory diagram of the second correction means using the output of the activity type.

FIG. 9 is a waveform diagram of a first reference curve used in the present invention.

FIG. 10 is a waveform diagram of a second reference curve used in the present invention.

FIG. 11 is a perspective view showing the external appearance of an in-ear temperature sensor used in another embodiment of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 detection means 2 main sensor part 3 sub sensor part 4 timer means 5 storage means 6 correction means 7 estimation means 8 rhythm curve output means 9 characteristic parameter output means

Claims (2)

[Claims] 1. A main sensor unit for measuring a deep body temperature of a living body, a sub-sensor unit for measuring disturbance, a timer unit for determining a measurement timing by each sensor unit, and a measurement result by each sensor unit. Storage means for chronologically storing, correction means for correcting the influence of disturbance on the measurement result of the main sensor portion based on at least the measurement result of the sub sensor portion, and rhythm for outputting the corrected rhythm curve of body temperature And a curve output means, wherein the measurement items of the sub-sensor section include at least one of ambient temperature, illuminance, physical activity, body posture, and electrocardiographic information. 2. The disturbance effect discriminating means for discriminating the type of disturbance and the magnitude of its influence in time series from the measurement result of the sub-sensor part in the correcting means, and the main means according to the output result of the disturbance influence judging means. The biological rhythm curve measuring device according to claim 1, further comprising a disturbance influence correcting unit that deletes and complements or corrects the data of the sensor unit.