JP2008155012A - Mental condition measuring method, device, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a mental condition measuring method, a device, and a program for indicating one-dimensionally whether a person is in a state of tension or relaxation in an understandable way. <P>SOLUTION: Index value computing means 30, which has received information representing a low-frequency component value (LF) of a fluctuation in the beat interval caused by the activities of the sympathetic and parasympathetic nerves and information representing a high-frequency component value (HF) from a nerve activity value calculating means 26, performs the computing of the computing equation consisting of three terms of the first term Ga(LF/HF), the second term Gb(HF) dependent on the high-frequency component value (HF) depending on the ratio (LF/HF) with low-frequency component value (LF) and the high-frequency component value (HF) and a constant term (C). With this, an index value (S) one-dimensionally indicating the mental condition from the state of tension to the state of relaxation of the subject is computed by using the computing equation and displayed on a display (32). <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a mental state measurement method, apparatus, and program for enabling one-dimensionally easy-to-understand whether a person is in a tension state or a relaxed state.

  A person's pulsation (heartbeat or pulsation) is adjusted by an independent nerve. Autonomous nerves are composed of sympathetic nerves and parasympathetic nerves, each of which regulates pulsation with different rhythms, and thus causes “fluctuation” in the pulsation interval.

  Among the fluctuations of the pulsation interval, the magnitude of the relatively fast fluctuation component of 0.15 Hz to 0.4 Hz (high frequency component value HF) depends on the activity of the parasympathetic nerve, and is compared with 0.04 Hz to 0.15 Hz. It is known that the size of the slow fluctuation component (low frequency component value LF) depends on the activities of both the sympathetic nerve and the parasympathetic nerve. The ratio LF / HF of both frequency component values is used as an index of sympathetic nerve activity.

  Various methods for grasping a person's mental state using the component values LF and HF have been proposed.

  For example, the point obtained based on each of the component values LF and HF is displayed on a two-dimensional coordinate composed of an activity axis and a tension axis, and the mental state of the subject is determined. An independent nerve activity measuring device has been proposed (see Patent Document 1).

  In addition, a stress evaluation method and apparatus have been proposed that can determine the degree of stress and the degree of relaxation from parameters including the component values LF and HF, respectively (see Patent Document 2).

JP 2002-330934 A Japanese Patent Application Laid-Open No. 07-231880

  However, since the technique related to the method and apparatus described in the above-mentioned patent documents, etc. require the human mental state in a multidimensional manner, it is not easy to change or compare the mental state, and it is intuitive and quantitative. In particular, there was a problem that the mental state of the person could not be grasped.

  The present invention solves such a problem, and provides a mental state measurement method, apparatus, and program that can easily indicate one-dimensionally whether a person is in a tense state or a relaxed state. The purpose is to do.

  In order to achieve the above object, the mental state measuring method according to claim 1 of the present invention shows the low frequency component value (LF) of fluctuation of the pulsation interval caused by the activities of the sympathetic nerve and the parasympathetic nerve. Receiving the information and the information indicating the high frequency component value (HF), the first term depending on the ratio (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF), the high frequency A stage of executing an arithmetic expression comprising three terms, a second term and a constant term, depending on the component value (HF), and a one-dimensional representation of the mental state from the tension state to the relaxed state of the subject. The index value (S) to be expressed is calculated by the arithmetic expression.

The mental state measuring method according to claim 2 of the present invention is characterized in that the index value (S) is calculated by the following arithmetic expression (I).
S = A · log [(LF / HF) / k] −B · log [(HF) / f] + C (I)
However, A, B, C, k, and f are constants.

The mental state measuring method according to claim 3 of the present invention is characterized in that the index value (S) is calculated by the following arithmetic expression (II).
S = A '. (LF / HF) / k'-B'. (HF) / f '+ C' (II)
However, A ′, B ′, C ′, k ′ and f ′ are constants.

The mental state measuring method according to claim 4 of the present invention is characterized in that the index value (S) is calculated by the following arithmetic expression (III).
S = A ″ · (LF / HF) / k ″ −B ″ · log [(HF) / f ″] + C ″ (III)
However, A ″, B ″, C ″, k ″, and f ″ are constants.

  In the mental state measuring method according to claim 5 of the present invention, an index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of the subject is expressed as a difference ΔS between index values based on the arithmetic expression. It is calculated as (= S1-S2).

  In the mental state measuring method according to claim 6 of the present invention, an index value (S) that one-dimensionally represents the mental state from the tension state to the relaxed state of the subject is expressed as a low-frequency component value ( The index value Sdiff is calculated as a ratio R (LF / HF) between the (LF) and the high frequency component value (HF) and the difference between the high frequency component value (HF).

According to a fifth aspect of the present invention, there is provided a mental condition measuring apparatus comprising information indicating a low frequency component value (LF) of fluctuations in pulsation intervals caused by sympathetic and parasympathetic nerve activities and a high frequency component value (HF). Information receiving means (25, 26) for receiving information indicating
Index value calculation means for calculating an index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of the subject using the low frequency component value (LF) and the high frequency component value (HF). (30) a mental state measuring device comprising:
The index value calculation means includes a first term that depends on a ratio (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF), and a second term that depends on the high frequency component value (HF). The index value is calculated by executing an operation of an arithmetic expression including a term and a constant term.

The mental state measuring apparatus according to claim 8 of the present invention is characterized in that the index value calculating means uses the following arithmetic expression (I).
S = A · log [(LF / HF) / k] −B · log [(HF) / f] + C (I)
However, A, B, C, k, and f are constants.

The mental state measuring apparatus according to claim 9 of the present invention is characterized in that the index value calculating means uses the following arithmetic expression (II).
S = A '. (LF / HF) / k'-B'. (HF) / f '+ C' (II)
However, A ′, B ′, C ′, k ′ and f ′ are constants.

The mental state measuring apparatus according to claim 10 of the present invention is characterized in that the index value calculating means uses the following arithmetic expression (III).
S = A ″ · (LF / HF) / k ″ −B ″ · log [(HF) / f ″] + C ″ (III)
However, A ″, B ″, C ″, k ″, and f ″ are constants.

  The mental state measuring device according to claim 11 of the present invention is characterized in that the index value calculating means is set so as to calculate a difference ΔS (= S1-S2) of index values based on the arithmetic expression. .

  In the mental state measuring device according to claim 12 of the present invention, the index value calculating means is a ratio R (LF / HF) of a low frequency component value (LF) and a high frequency component value (HF) based on the arithmetic expression. And an index value Sdiff based on the difference between the high frequency component values (HF) is calculated.

  A mental state measurement program according to claim 13 of the present invention is a mental state measurement program for causing a computer to calculate an index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of a subject. A procedure for receiving information indicating a low frequency component value (LF) and information indicating a high frequency component value (HF) of fluctuations in pulsation intervals caused by the activities of the sympathetic nerve and the parasympathetic nerve; Three terms: a first term depending on a ratio (LF / HF) of a frequency component value (LF) and the high frequency component value (HF), a second term depending on the high frequency component value (HF), and a constant term. And a procedure for performing an operation of an arithmetic expression consisting of:

  According to the present invention, the information indicating the low frequency component value (LF) and the information indicating the high frequency component value (HF) of fluctuation of the pulsation interval caused by the activities of the sympathetic nerve and the parasympathetic nerve are received, and the low From the first term depending on the ratio (LF / HF) between the frequency component value (LF) and the high frequency component value (HF), the second term depending on the high frequency component value (HF), and the constant term. Since the index value (S) representing the one-dimensional mental state from the tension state to the relaxed state of the subject is calculated by executing the calculation of the following equation, the person is intuitively and quantitatively calculated. The mental state can be grasped, and the change or change of the mental state can be easily performed.

  Next, embodiments of the present invention will be described with reference to the accompanying drawings.

A. Configuration of Mental State Measuring Device FIG. 1 is a block system configuration diagram showing a mental state measuring device 20 as a typical embodiment of the mental state measuring method according to the present invention. That is, in FIG. 1, reference numeral 21 indicates a sensor for detecting the pulsation of the subject, and this sensor 21 is a vibration sensor that detects vibration of a blood vessel or an optical method that optically detects blood flow. Configured as a sensor.

  The output signal of the sensor 21 is converted into a digital signal by the A / D converter 22 and stored in a memory (not shown) in the storage unit 23. The storage unit 23 includes a timer circuit that outputs time information, and stores a certain number of data together with the time information every time an instruction to start measurement is received by an external operation or an operation unit (not shown). . The storage unit 23 also has a function as a memory for storing various data and calculation values obtained by each means described later.

  With respect to a series of data stored in the storage unit 23, a beat interval (RR interval) is detected via the interval detection unit 24, and the obtained interval data is input to the frequency analysis unit 25.

  In the frequency analysis means 25, frequency analysis processing (FFT processing) is performed on the input interval data to obtain spectrum data.

  The spectrum data obtained by the frequency analysis means 25 is obtained from the low frequency component value LF and the high frequency component value HF of the fluctuation of the pulsation interval caused by the activity of the sympathetic nerve and the parasympathetic nerve. Calculated.

  In this case, the low frequency component value LF calculated by the nerve activity value calculation means 26 is the sum (area) of power values in the range of 0.04 to 0.15 (Hz) in the spectrum data, and the high frequency The component value HF is the sum (area) of power values in the range of 0.15 to 0.4 (Hz).

  The low frequency component value LF and the high frequency component value HF thus obtained are input to the index value calculation means 30, respectively. In the index value calculation means 30, the low frequency component value LF and the high frequency component value HF of the fluctuation of the pulsation interval caused by the activities of the sympathetic nerve and the parasympathetic nerve are used to change from a strong tension state to a strong relaxation state. An index value S indicating one-dimensional mental state is calculated.

  The index value S corresponds to a predetermined numerical range (for example, an easy-to-understand range such as −25 to 75, 0 to 100, −50 to 50) from a strong tension state to a strong relaxation state, and is a value within that range. It is calculated using an arithmetic expression that can be expressed.

  Then, the index value S calculated by the arithmetic expression is displayed on the display 32 by the display control means 31 together with time information when the pulsation of the subject is detected and measured.

B. Arithmetic expression index values Therefore, the present inventor has found that by calculating an index value S by an arithmetic expression represented by the following general formula, found that it is possible to represent properly the mental state of the subject. That is, the index value S includes the first term Ga that depends on the ratio R (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF), and the second term that depends on the high frequency component value (HF). It is calculated by the following general formula consisting of three terms, the term Ga and the constant term C. In the general formula, Ga in the first term and Gb in the second term are shown as functions having R and HF in parentheses as variables, respectively.

  S = Ga (R) -Gb (HF) + C (general formula)

  If the general formula is converted into a more specific calculation formula, an index that appropriately represents the mental state of the subject by using one of the following three calculation formulas (I), (II), and (III) The value S can be easily calculated.

S = A · log [(LF / HF) / k] −B · log [(HF) / f] + C (I)
However, A, B, C, k, and f are constants.

S = A '. (LF / HF) / k'-B'. (HF) / f '+ C' (II)
However, A ′, B ′, C ′, k ′ and f ′ are constants.

S = A ″ · (LF / HF) / k ″ −B ″ · log [(HF) / f ″] + C ″ (III)
However, A ″, B ″, C ″, k ″, and f ″ are constants.

  The first term of each of the arithmetic expressions (I), (II), and (III) is a term that increases and decreases in the same direction as the increase and decrease of the ratio R that depends on the activity of the sympathetic nerve that tensions the mind and body. The second term is a term that increases / decreases in the opposite direction to the increase / decrease change of the high frequency component value HF depending on the activity of the parasympathetic nerve that relaxes the mind and body. Therefore, the mental state of the person is shown in a one-dimensional manner by executing an operation of an arithmetic expression consisting of a first term that increases as the mind and body become tense, a second term that increases as the body and body relax, and a constant term C. The index value is obtained.

  Furthermore, it is also useful to extend the arithmetic expression and calculate an index value by comparing two different time points instead of calculating an index value at a certain time point. For example, as a test subject's individuality, the index value is low and relaxed at rest, and the index value is appropriately high and stressed when stressed. Sometimes people of various patterns are assumed, such as people who tend to have higher index values and people who do not change much even under stress. In this case, the difference ΔS (= S1-S2) between the index values is used, or the ratio R (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF) and the high frequency component value (HF) The mental state can be appropriately digitized by using an index value Sdiff based on the difference.

The index value difference ΔS can be calculated by the following equation.
ΔS = S1-S2
S1 = A.log [(LF1 / HF1) / K] + B.log (FK / HF1) + C (IV)
S2 = A.log [(LF2 / HF2) / K] + B.log (FK / HF2) + C
However, factors K and FK can include age factors.

The ratio R (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF) and the index value Sdiff due to the difference between the high frequency component value (HF) can be calculated by the following equation.
Sdiff = A · log [(LF1 / HF1-LF2 / HF2) / K]
+ B · log [FK / (HF1−LF2)] + C (V)
However, factors K and FK can include age factors.

C. Implementation process (program) of mental state measurement method
Next, a method for measuring the mental state of the present invention using the mental state measuring apparatus shown in FIG. 1 will be described with reference to the flowchart shown in FIG.

  In the present invention, when the subject first detects and measures the pulsation, it is determined whether the measurement is a new measurement or a measurement that has already been registered or stored (STEP-1). If it is a new measurement, personal information such as a personal number and age of the subject is input (STEP-2), and then the pulsation of the subject is detected using a sensor 21 such as a vibration sensor or an optical sensor. Detect blood vessel vibration and blood flow. The detection signal at this time is provisionally recorded for an initial test (STEP-3), and it is determined whether the recorded data is normal (STEP-4). In this case, whether or not the sensor is properly used for the measurement site of the subject (for example, the position of the sensor, the measurement time, etc.) is a criterion for determination. If normal recording is not performed, detection and measurement are performed again (STEP-3).

  When normal recording is performed, the measured pulse wave signal is A / D converted via the A / D converter 22 (STEP-5), stored in the storage unit 23, and recording of the measurement data is completed. (STEP-6). In this way, for a series of measurement data in a fixed time (for example, 20 seconds to 180 seconds) stored in the storage unit 23, the interval (RR) of the pulsation (QRS wave) is transmitted via the interval detection unit 24. (Interval) and its peak (R value) are detected (STEP-7).

  It is determined whether or not the peak (R value) thus detected is appropriate data (STEP-8). In this case, whether the detected peak (R value) is suitable for frequency analysis for obtaining a low frequency component value (LF) and a high frequency component value (HF) suitable for calculating the index value S. Is the criterion for judgment. Therefore, if the detected peak (R value) is not appropriate data, detection and measurement are performed again (STEP-3).

  When an appropriate peak (R value) is detected, the series of measurement data is resampled (STEP-9), frequency analysis is performed by the frequency analysis means 25 (STEP-10), and a nerve activity value is calculated. The low frequency component value LF and the high frequency component value HF are calculated by the means 26 (STEP-11).

  The low frequency component value LF and the high frequency component value HF calculated in this way are the data number and time data (STEP-12) set automatically, and personal information (STEP-2) such as a preset personal number. ) And appropriately stored in the memory of the storage unit 23 (STEP-13).

  Next, the data stored in the memory is read (STEP-14), and the low-frequency component value LF and the high-frequency component value HF stored via the index value calculation means 30 are used to calculate the above-described arithmetic expression. An index value (stress value as a mental state) is calculated (STEP-16). Then, the low-frequency component value LF and the high-frequency component value HF measured together with the calculated index value are displayed on the display 32 through the display control means 31 (STEP-17). FIG. 3 shows a display example of index values and the like by the display 32.

  In the method for measuring the mental state of the present invention, by inputting personal information such as a personal number and a data number (STEP-) to data (STEP-13) already stored in a required memory (STEP-). 15) The data stored in the memory is read (STEP-14), and the arithmetic expression described above is obtained from the low frequency component value LF and the high frequency component value HF stored via the index value calculation means 30. Thus, calculation of the index value (stress value as a mental state) is executed (STEP-16). Then, the low frequency component value LF and the high frequency component value HF measured together with the calculated index value can be displayed again on the display 32 (STEP-17).

  In addition, about the input (STEP-2) of the test subject's personal information mentioned above, when targeting a plurality of test subjects, a personal number can be appropriately set as the registration number of each test subject. This personal number can also be set and used as a number corresponding to a different state of the individual, for example, “when waking up”, “at lunch”, “at bedtime”, and the like.

D. Evaluation and Analysis of Index Values Calculated by the Present Invention In advance, low frequency component values LF and high frequency component values HF were obtained from 97 electrocardiogram waveforms, respectively. In this case, with respect to the obtained low frequency component value LF and high frequency component value HF, the distribution state of the ratio R (= LF / HF) relating to the first term of the arithmetic expression is shown in FIG. Moreover, the distribution state of the high frequency component value HF regarding the second term is shown in FIG. In FIG. 4, the horizontal axis indicates the number of the subject. In addition, these 97 subjects have various mental states, and include those who are extremely tense to those who are extremely relaxed.

  In the distribution state of the ratio R and the high frequency component value HF shown in FIGS. 4A and 4B, the average value for the ratio R is about 3.9, the median value is about 1.7, and the maximum value is about 35. The minimum value is about 0.1. The average value for the high frequency component value HF is about 70, the median is about 32, the maximum is about 654, and the minimum is about 1.

  Here, in consideration of applying the calculation formula (I) that seems to be most preferable, values close to the median of the ratio R and the high-frequency component value HF are coefficients k = 1.7 and f = 32, respectively. The coefficients A, B, and C are set to 25, respectively, and based on the low-frequency component value LF and the high-frequency component value HF for 95 subjects, R = LF / HF = 2 and HF = 300 are used as reference values to calculate the above formula ( The index value S was calculated according to I). As a result, as shown in FIG. 5, the index value S has a dynamic range in the range of 1/10 to 10 times, and a distribution state in which the entire range is included in the range of −25 to 75 with 25 as the median value. It became. Such a distribution state of the index value S is close to a normal distribution having a center value of 25, and it is presumed that the distribution state of the human mental state is well represented.

  Further, when the calculation formula (II) is applied, the coefficients k ′ = 1.7, f ′ = 32, the coefficients A ′ = 5, B ′ = 1, and C ′ = − 20, respectively, for 95 subjects. Based on the low frequency component value LF and the high frequency component value HF, the index value S was calculated by the calculation formula (II). As a result, the distribution state of the index value S as shown in FIG. 6 was obtained. In this case, although the spread of the distribution is smaller than the distribution state of the index value S according to the arithmetic expression (I) described above, it has been confirmed that the index value S corresponding to the variation of the mental state is obtained within the range.

  Further, when the calculation formula (III) is applied, the coefficients k ″ = 1.7, f ″ = 32, the coefficients A ″ = 5, B ″ = 5, and C ″ = − 20, respectively, for 95 subjects. Based on the low frequency component value LF and the high frequency component value HF, the index value S is calculated by the arithmetic expression (III), and as a result, the distribution state of the index value S as shown in Fig. 7 is obtained. The distribution of the index value S according to the above-described arithmetic expression (I) is smaller than the distribution state of the index value S, but it is confirmed that the index value S corresponding to the variation of the mental state is obtained within the range.

  Therefore, the correspondence between the actual mental state of the subject and the index value S obtained by the arithmetic expression (I) was examined.

  FIG. 8 shows the distribution U of the index value S in a resting state and the distribution U ′ of the index value S when a certain psychological problem (calculation problem or the like) is loaded for 15 subjects. As is clear from FIG. 8, the average value (about 30) of the distribution U ′ at the time of task load increases with respect to the average value (about 20) of the distribution U in the resting state. It can be seen that the state has changed to a slightly tense state. In this case, the index value is low and relaxed when resting, and the index value is high and tensioned at rest as well as when the index value becomes high and stressed when the task is loaded. Changes in index values in various patterns were confirmed, such as when the values tend to be high, or when there is not much change even when the task is loaded.

  FIG. 9 shows the distribution V of the index value S and the distribution V ′ of the index value S during sleep for seven subjects. As is clear from FIG. 9, the average value (about 55) of the distribution V when overloaded is considerably higher than the average value (about 30) of the distribution V ′ during sleep. I understand.

  The distribution of the index value S is for subjects in a normal state. For example, as a result of obtaining the index value S at rest for 12 subjects in a depressed state, the distribution is shown in FIG. A distribution W was obtained. As is clear from the distribution U of subjects in a normal state, the distribution value W is larger in some people in a depressed state even in a resting state, and is more tensioned than a subject in a normal state. It is assumed that there is.

  From the distribution state diagram (see FIG. 5) obtained from the calculation result of the index value S for 95 subjects when the calculation formula (I) is applied in the evaluation and analysis of the index value described above, The boundary of state evaluation could be classified as shown in the list shown in FIG. 11 by dividing the index value by 7 levels and the contents of evaluation at each level. And the frequency (number of people) in the case of classifying into 7 levels in this way is as shown in FIG.

E. From the result of the index value display or more, the index value S obtained by the arithmetic expression (I) represents the subject's mental state one-dimensionally well. From this index value S, the subject's mental state can be simply and easily expressed. Can grasp.

  For the indicator 32 that displays the index value S, the display control means 31 not only displays the obtained index value S numerically (see FIG. 3) but also evaluates the index value shown in FIG. According to the category, the corresponding evaluation contents can be displayed in a graphic or bar graph. In this case, the low frequency component value (LF), the high frequency component value (HF), the LF / LH value, the heart rate, the pulse rate, and the like can be appropriately displayed.

  In the case of displaying in a stepwise manner, for example, in order from the region where the index value is large, “very tense”, “somewhat tense”, “normal”, “somewhat relaxed”, and “very relaxed” are divided into five steps. The contents of the state notation can be set so as to perform notation corresponding to the area including the calculated index value.

  Further, when continuous measurement is performed, the index value for each time can be graphed and set to be displayed on the display 32.

  Note that the values of the coefficients k, A, B, and C in the arithmetic expression are not limited to the above-described embodiments and can be arbitrarily set, but the range of the mental state index value S is 10 levels. It is desirable to set each coefficient so that it is in a range that is well cut and easy to be evaluated, such as steps 20, 50, and 100.

  For example, in the above calculation example, if only the coefficient C is changed to 50, the range of the index value S can be set to a range of 0 to 100. Moreover, if only the coefficient C is changed to 0, the range of the index value S can be set in the range of −50 to 50. Furthermore, the change range of the index value S can be changed by changing the coefficients A, B, k, and f.

  When the mental state of a specific subject is measured constantly, the measurement is performed when the subject's mental state is resting and stable, for example, when the state of mind and body is awakened from sleep. It is also possible to store the index value Sr obtained at that time and correct the coefficient of the arithmetic expression described above based on the plurality of index values Sr.

  For example, as described above, the average value of the index value Sr is 10 larger than the standard 25 when the coefficient is set so that the index value is in the range of approximately −25 to 75 with the center value 25. In this case, correction processing is performed so that the constant term C is reduced from 25 to 15. When the index value calculation means 30 automatically performs such coefficient correction processing, it is possible to suppress variations in index values due to differences in subjects, and it is easy to compare with other subjects based on index values. Become.

F. Application of the mental state measuring device according to the present invention As a method of using the mental state measuring device 20 according to the present invention, generally, the index value S is measured only when the subject touches the sensor 21, and the measurement result is obtained. A single measurement to be displayed on the display 32 is performed. In addition, the subject always carries the entire apparatus, and pulsation detection by the sensor 21 is constantly performed, and the index value S is automatically calculated at regular intervals and stored in the internal memory. It is also possible to display the history of changes in the index value S stored by operating the operation unit on the display 32.

  In addition, the apparatus for performing the mental state measurement method according to the present invention is configured as an integrated unit from the sensor 21 to the storage unit 23 (which may include an operation unit). Carry it at regular time intervals or when there is an operation on the operation unit.After storing the pulsation signal, connect the unit to the device body and perform the processing from interval detection to index value calculation. It is also possible to configure such that the calculation result is displayed.

  The mental state measurement device 20 of the above-described embodiment includes a configuration from the beat detection processing by the sensor 21 to the frequency component value LF and HF calculation processing by the nerve activity value calculation means 26, but such a configuration. However, the present invention is not limited thereto, and the index value S may be calculated by receiving the data of the frequency component values LF and HF obtained by another apparatus. The mental state measuring device 20 is constituted by means subsequent to the interval detecting means 24 excluding the sensor 21, the A / D converter 22, and the storage unit 23, and gives the pulsation signal data to calculate the index value S. It can also be configured to.

  Although the preferred embodiments of the present invention have been described above, the mental state measuring method, apparatus, and program according to the present invention are low frequency component values of fluctuations in pulsation intervals caused by sympathetic and parasympathetic activities. Receiving the information indicating (LF) and the information indicating the high frequency component value (HF), and a step depending on a ratio (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF). And a step of calculating an index value by executing an arithmetic expression comprising three terms: a first term, a second term depending on the high frequency component value (HF), and a constant term. It is the gist, and it is a matter of course that many other design changes and setting conditions can be changed without departing from the spirit of the present invention.

It is a block system block diagram which shows the Example of the apparatus which implements the mental state measuring method which concerns on this invention. It is a flowchart figure which shows the implementation process (program) of the mental state measuring method which concerns on this invention. It is explanatory drawing which shows the example of a display of index values etc. with the indicator of the apparatus which implements the mental state measuring method which concerns on this invention. (A) is explanatory drawing which shows the distribution state of ratio [LF / HF] of the low frequency component value LF calculated | required from the waveform of the electrocardiogram about 97 test subjects by the mental state measuring method based on this invention, and the high frequency component value HF. b) is an explanatory view showing the distribution state of the high-frequency component value [HF]. FIG. 5 is an explanatory diagram of a distribution state of an index value S calculated using the arithmetic expression (I) for the distribution state shown in FIG. 4. FIG. 5 is an explanatory diagram of the distribution state of the index value S calculated using the calculation formula (II) for the distribution state shown in FIG. 4. FIG. 5 is an explanatory diagram of a distribution state of an index value S calculated using the arithmetic expression (III) for the distribution state shown in FIG. 4. It is explanatory drawing which shows the change state of an index value when a test subject is loaded with the psychological subject by the mental state measuring method which concerns on this invention. It is explanatory drawing which shows the change state of an index value when a test subject is given a hard work by the mental state measuring method which concerns on this invention. It is explanatory drawing which shows the dispersion | variation state of the index value of the test subject of a normal state, and the test subject of a depression by the mental state measuring method which concerns on this invention. 6 is a list showing the classification of index values S created based on the distribution state of the index values S calculated using the arithmetic expression (I) shown in FIG. 5 and the evaluation contents thereof. It is a bar graph which shows the frequency (number of people) corresponding to the classification | category of the index value S shown in FIG.

Explanation of symbols

20 mental state measurement device 21 sensor 22 A / D converter 23 storage unit 24 interval detection unit 25 frequency analysis unit 26 nerve activity value calculation unit 30 index value calculation unit 31 display control unit 32 display

Claims (13)

  Receiving information indicating a low frequency component value (LF) of fluctuations in pulsation intervals caused by the activity of the sympathetic nerve and the parasympathetic nerve and information indicating a high frequency component value (HF), and the low frequency component value ( LF) and a high-frequency component value (HF) ratio (LF / HF), a first term dependent on the high-frequency component value (HF), a second term, and a constant term And calculating an index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of the subject using the arithmetic expression. The mental state measuring method according to claim 1, wherein the index value (S) is calculated by the following arithmetic expression (I).
S = A · log [(LF / HF) / k] −B · log [(HF) / f] + C (I)
However, A, B, C, k, and f are constants. The mental state measuring method according to claim 1, wherein the index value (S) is calculated by the following arithmetic expression (II).
S = A '. (LF / HF) / k'-B'. (HF) / f '+ C' (II)
However, A ′, B ′, C ′, k ′ and f ′ are constants. The mental state measuring method according to claim 1, wherein the index value (S) is calculated by the following arithmetic expression (III).
S = A ″ · (LF / HF) / k ″ −B ″ · log [(HF) / f ″] + C ″ (III)
However, A ″, B ″, C ″, k ″, and f ″ are constants.   An index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of the subject is calculated as a difference ΔS (= S1-S2) between index values based on the arithmetic expression. Item 2. The mental state measuring method according to Item 1.   The index value (S) that one-dimensionally represents the mental state from the tension state to the relaxed state of the subject is expressed as a ratio R (LF) between the low frequency component value (LF) and the high frequency component value (HF) based on the arithmetic expression. The mental state measuring method according to claim 1, wherein the index value Sdiff is calculated as a difference between / HF) and a high frequency component value (HF). Information receiving means (25, 26) for receiving information indicating a low frequency component value (LF) of fluctuation of the pulsation interval caused by the activity of the sympathetic nerve and the parasympathetic nerve and information indicating a high frequency component value (HF) ,
Index value calculation means for calculating an index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of the subject using the low frequency component value (LF) and the high frequency component value (HF). (30) a mental state measuring device comprising:
The index value calculation means includes a first term that depends on a ratio (LF / HF) between the low frequency component value (LF) and the high frequency component value (HF), and a second term that depends on the high frequency component value (HF). A mental state measuring device that calculates the index value by executing an operation of an arithmetic expression including a term and a constant term. The mental condition measuring device according to claim 7, wherein the index value calculating means uses the following arithmetic expression (I).
S = A · log [(LF / HF) / k] −B · log [(HF) / f] + C (I)
However, A, B, C, k, and f are constants. The mental state measuring device according to claim 7, wherein the index value calculating means uses the following arithmetic expression (II).
S = A '. (LF / HF) / k'-B'. (HF) / f '+ C' (II)
However, A ′, B ′, C ′, k ′ and f ′ are constants. The mental condition measuring device according to claim 7, wherein the index value calculating means uses the following arithmetic expression (III).
S = A ″ · (LF / HF) / k ″ −B ″ · log [(HF) / f ″] + C ″ (III)
However, A ″, B ″, C ″, k ″, and f ″ are constants.   8. The mental state measuring device according to claim 7, wherein the index value calculating means is set so as to calculate an index value difference ΔS (= S1-S2) based on the arithmetic expression.   The index value calculation means calculates a ratio R (LF / HF) between a low-frequency component value (LF) and a high-frequency component value (HF) based on the arithmetic expression and an index value Sdiff based on a difference between the high-frequency component value (HF). The mental state measuring device according to claim 7, wherein the mental state measuring device is set to perform. A mental state measurement program for causing a computer to calculate an index value (S) that one-dimensionally represents a mental state from a tension state to a relaxed state of a subject,
A procedure for receiving information indicating a low frequency component value (LF) of fluctuations in pulsation intervals caused by activities of the sympathetic nerve and the parasympathetic nerve and information indicating a high frequency component value (HF); LF) and a high-frequency component value (HF) ratio (LF / HF), a first term dependent on the high-frequency component value (HF), a second term, and a constant term And a mental state measurement program for causing a computer to execute a procedure for executing the operation of