JPH08275934A - Correlation investigating system - Google Patents

Abstract

PURPOSE: To provide a device effective in developing a technique which enhances amenity of dwelling and an environment and reduces mental stress by collecting data such as a physiological quantity, a subject quantity, a behavior quantity and an environmental parameter, and performing correlation analysis of these collected data. CONSTITUTION: Physiological reaction of a person to be measured is measured by a physiological reaction measuring processing part 20, and after a physiological index is found by a physiological index extracting part 21 from the physiological reaction, the physiological index is converted into a living body inside parameter by using a physiological model by a physiological quantity evaluating judging part 22, and the converted living body inside parameter is compared with a preset pattern, and when they coincide with each other, a subject quantity of the person to be measured is collected to a subject quantity data collecting part 25. According to this, detailed evaluation every person to be measured can be performed, and since it can also cope with an individual difference, reliability of evaluation is improved.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention is a method for collecting physiological amount, subjective amount, action amount, and environmental parameters and performing a correlation analysis of the data to improve comfort of work / living environment and reduce mental stress. The purpose of the present invention is to provide a device effective for the development of.

[0002]

2. Description of the Related Art Conventionally, an apparatus of this type is, for example, a correlation data collecting system disclosed in Japanese Patent Laid-Open No. 4-314430. This device detects a plurality of physiological reactions, extracts a physiological index that is a characteristic amount of the physiological reactions, then calculates a physiological amount and evaluates it as a physiological amount pattern. However, there is a drawback that the criteria for evaluating the physiological pattern are fixed and individual differences are not taken into consideration.

Further, there is a drawback that the subjective quantity data is not collected when the physiological quantity change matching the physiological quantity pattern set prior to the data collection is not detected.

Further, there is a problem that it is difficult to set the physiological amount pattern in consideration of the individual difference of the person to be measured prior to data collection.

Further, regarding the measurement of the physiological reaction, independently measuring the physiological reaction used for the evaluation means that the person to be measured is equipped with as many electrodes and sensors as necessary for the measurement, which is troublesome to wear. There is also a problem that the pod measurement part becomes complicated.

Next, the operation will be described. FIG. 1 is a block diagram of a conventional correlation data collection system. 1 in the figure
Reference numeral 1 is a physiological reaction measurement unit that detects and amplifies a physiological reaction, 12 is a data evaluation unit that extracts a physiological index from the physiological reaction, and compares the physiological amount evaluated by the physiological reaction model with a preset pattern, 13 is a data collection unit, 14 is a data recording unit.

The physiological reaction measuring unit 11 detects and amplifies physiological reactions such as electrocardiogram, pulse wave, and electroencephalogram. The amplified physiological reaction is taken into the data evaluation unit 12. Data evaluation section 1
In step 2, each characteristic amount is detected from each physiological reaction taken in, and a physiological index is calculated from the detected characteristic amount. The calculated physiological index values are converted into in-vivo internal parameters using a physiological reaction model, and these are displayed as a pattern on the display. Then, it is compared with a preset pattern of the in-vivo parameter set in advance.

Here, when the calculated biological internal parameter set matches any of the preset patterns,
The data collection signal is output to the data collection unit 13. The data collection unit 13 prompts the subject to input a subjective amount according to the contents of the data collection signal sent from the data evaluation unit 12,
At the same time as collecting the subjective quantity evaluation values, external environment parameters and the like are also collected. The data collected by the data collection unit 13 is
It is recorded in the data recording unit 14.

[0009]

In the conventional example, the preset pattern of the in-vivo internal parameter to be compared in order to collect the subjective amount is fixed, and even if the person to be measured changes, the same preset pattern should be used for evaluation. There was a problem that it was not possible to cope with individual differences.

Further, there is a problem in that the relationship between the calculated pattern of the in-vivo parameter set of the subject and the collected subjective amount data is not reflected.

Further, the timing of collecting the subjective quantity is only when the calculated internal parameters and the preset pattern match, and when the external environment changes or the person to be measured feels some subjective change, There was a drawback that the subjective quantity was not always collected.

The measurement of ventilation volume imposes a heavy burden on the person to be measured, and also restricts his / her actions.
The method of non-invasive respiratory volume estimation disclosed in Japanese Patent No. 899 has been considered. However, regarding the calculation of the relationship between the change in the perimeter and the ventilation in relation to the ventilation, the changes in the perimeter of the trunk of the isochronous data do not show the changes seen in the thorax at the same time in the abdomen, causing a time delay. There is a problem in that it should be considered because it is considered to appear.

Further, as a result of an examination using the actual data on the calculation unit for the relational expression of the change in the perimeter with respect to the ventilation volume versus the ventilation volume, when the breathing method, the chest method, the abdominal method and the like of the breathing method and the posture are different, , There are problems with using the same function.

Regarding the measurement of blood pressure, there is a simple measurement method in which a cuff is wrapped around the upper arm, wrist or fingertip, and vitality is applied to measure the blood pressure, but it is necessary to maintain the measurement site at the level of the heart. There is a problem that the cuff pressure needs to be constantly applied, and the degree of restraint on the subject and the burden of pressure are high.

To evaluate the activity state of the autonomic nervous system, it is often the case that the total fluctuation of the heartbeat or pulse is used as an index and its magnitude is used as an index. (For example, Japanese Patent Publication No. 1-3136
9, JP-A-5-228121, Jikken 3-49686)
However, there are multiple factors of the above fluctuations that reflect the state of the autonomic nervous system, and each factor may affect the magnitude of the fluctuations in opposite directions. However, there is a problem that the evaluation result is not reliable.

Since the measurement of the stroke volume imposes a considerable burden on the subject, a method for estimating the stroke volume from the blood pressure waveform is described in KH Wesseling et al. (1983) A Simple Device for
Although there is the Continuous Measurement of Cadiac Output, there is a problem that the correlation between the measured value and the estimated value changes depending on when the estimated value is evaluated with other physiological indexes.

When collecting the subjective amount, since there is no particular consideration as to which question item was collected and the history of collection, there is a problem that it is not possible to avoid collection that is biased to a specific collection mode. In addition, there is a drawback in that the ambiguity of the subjective rating of the person to be measured and individual differences in the rating are not taken into consideration. In addition, since the mouse or the keyboard is used as the input of the subjective rating, there is a drawback that the measured person has a heavy load.

The present invention has been made to solve the above-mentioned problems, and every time the subjective amount data is collected, the preset pattern is updated using the in-vivo internal parameter calculated at that time. By doing so, it is possible to create a preset pattern suitable for each person to be measured, and to obtain a correlation research system that can cope with individual differences.

Further, according to the present invention, the subject himself / herself can make a request for collecting the subjective quantity, and further has a function of evaluating the data measured other than the physiological reaction, so that the subjective quantity can be collected using the evaluation result. The purpose is to obtain a correlation research system that can

Further, according to the present invention, the change in the peripheral length at a plurality of points of the body is measured, and in the means for estimating the respiratory change amount curve, the problem of the time delay due to the difference in the parts of the change in the peripheral length of the body is dealt with, When calculating the respiration rate, a means for calculating a relational expression from changes in the surrounding length for several seconds before and after is used. The purpose of the present invention is to obtain a correlation research system that can obtain an accurate ventilation volume by estimating a respiratory volume change curve using the body length change and the function, and further determining the respiratory volume for each breath. To do.

In addition, according to the present invention, prior to data collection,
The pulse wave and blood pressure, which have a high correlation with blood pressure, are measured at the same time, and the relational expression between the characteristic amount of the pulse wave and blood pressure is obtained.At the time of data collection, the blood pressure is calculated from the pulse wave using the relational expression obtained without measuring the blood pressure. The purpose is to obtain a correlation research system that can be estimated.

Further, according to the present invention, in consideration of the fact that breathing changes depending on postures such as sitting, standing, and lying down, a sensor for instructing the subject several postures and detecting the postures. Detecting the posture of the person to be measured, predetermining a relational expression according to the posture in that individual, adding that relational expression to the respiratory change amount curve, and if that posture occurs during measurement,
The purpose of the present invention is to obtain a correlation research system that can estimate the ventilation volume that is not affected by the posture by changing the respiratory change curve according to the posture.

Further, according to the present invention, the magnitude of the respiratory fluctuation component of the biological signal related to the cyclic activity of the heart is obtained, and the fluctuation related to the breath is measured to obtain the magnitude and frequency of the breath. The purpose of the present invention is to obtain a correlation research system that can more accurately evaluate the activity state of the autonomic nervous system by using the stored frequency characteristic data of respiratory fluctuation components.

Further, according to the present invention, the relationship between the correlation between the measured stroke volume and the estimated stroke volume and the respiratory frequency is obtained in advance for each subject, and the estimated stroke volume is determined by the respiratory frequency. The purpose is to obtain a correlation survey system that can estimate ventilation volume with high accuracy by determining the timing of values.

Further, according to the present invention, when collecting a subjective quantity, the subjective quantity can be collected in consideration of the previously held state of collecting the subjective quantity. In addition, prior to collecting the subjective amount, the subject is presented with a plurality of question items and scale diagrams in advance, and the range is answered, and the values corresponding to each range are calculated as individual standard values. The purpose of this study is to obtain a correlation survey system that can perform subjective evaluation in consideration of the ambiguity of the subject's evaluation and individual differences by performing subjective evaluation.

Another object of the present invention is to obtain a correlation survey system capable of inputting subjective amount data by voice at the time of data collection by registering a plurality of voice data of the person to be measured in advance prior to collecting the subjective amount. And

[0027]

According to a first aspect of the present invention, there is provided a correlation survey system, which measures and processes a physiological reaction of a person to be measured in a non-invasive and non-constrained manner. A physiological index extraction unit that extracts a physiological index from the reaction,
Corresponds to the physiological amount evaluation judgment unit that calculates the physiological amount from the extracted physiological index, determines the physiological amount pattern using the judgment criteria for the physiological amount set prior to data collection, and displays the result, and the physiological amount pattern. Then, the data collection control unit that controls the data collection based on the subjective quantity collection mode set prior to the data collection, and the subjective quantity data that collects the subjective quantity of the measured person controlled by the control signal from the data collection control unit A collection unit, a judgment criterion updating unit for reflecting the physiological quantity evaluation result in the physiological quantity pattern judgment criterion each time a control signal is output by the data collection control unit, and a behavior for collecting the activity amount and work content of the measurement subject. A quantity data collection unit, an environment parameter collection unit for collecting data on the environment in which the measured person is located, and the above-mentioned collected data and processing results are saved. That data and recording unit, by using the data recorded in the data recording unit physiological quantity and subjective-action &
It is composed of an offline data analysis unit that performs correlation analysis of environmental parameters.

The correlation survey system according to the invention of claim 2 is the correlation survey system according to claim 1, wherein when the subject feels some subjective state or change,
The subject himself / herself sends a subjective quantity input request signal to the data collection control unit to enable input of the subjective quantity to the subjective quantity collection unit, so that the physiological quantity pattern at the time when the subject makes an input request is input. If the physiological amount pattern set for the subjective amount collection mode corresponding to the subjective amount data is not included in the physiological amount pattern, the determination criterion updating unit has a function of generating or changing and registering a new physiological amount pattern criterion. The physiological amount is evaluated using the physiological pattern determination criterion for each subject.

According to a third aspect of the correlation survey system of the present invention, in the correlation survey system according to the first aspect, data collection control is performed by detecting a specific work content from the activity amount data collected by the activity amount data collection unit. Section has a behavioral amount data analysis unit that sends a subjective amount collection signal, and sends a subjective amount collection control signal to the data collection control unit when a specific work content set prior to data collection is detected The collection unit collects the subjective amount data, and records at least one of the physiological index extracted by the physiological index extraction unit and the physiological amount obtained by the physiological amount evaluation determination unit in the data recording unit. It analyzes the correlation between quantity and subjectivity.

A correlation investigation system according to a fourth aspect of the present invention is the correlation investigation system according to the first aspect, wherein the environmental parameter collected by the environmental parameter collection unit is analyzed to detect a change in the environmental parameter and the data collection control unit is detected. At least one of the physiological index obtained by the physiological index extraction unit and the physiological index extracted by the physiological index extraction unit, which collects subjective amount data by the subjective amount data collection unit. Is recorded in the data recording section and the correlation between environmental changes and physiological / subjective quantities is analyzed.

A correlation survey system according to a fifth aspect of the present invention is the correlation survey system according to any one of the first to fourth aspects, in which a body part circumference length change detection sensor mounted on the subject is the same for the same subject. By taking measures that can be always worn in a fixed position, and by having a ventilation volume measurement means in the physiological response measurement processing unit, the ventilation volume waveform and the change in the peripheral length due to the respiration of the chest and abdominal torso are collected before data collection. Multiple measurements, by having a perimeter change versus ventilation volume relational expression calculation unit that obtains a reproducible relational expression between the perimeter length change waveform and the ventilation volume waveform in consideration of the time difference of the influence of breathing that appears in the perimeter change, When collecting data, the physiological index extraction unit calculates an estimated ventilation volume waveform from the plurality of surrounding length change waveforms and the relational expression without measuring the ventilation volume, and obtains an index value related to ventilation volume. It is intended to reflect the physiological amount evaluation.

According to a sixth aspect of the correlation survey system of the present invention, in the correlation survey system according to the fifth aspect, the physiological reaction measurement process is performed in order to consider the influence of the posture of the person to be measured on the change in the measured peripheral length. Has a posture measuring means in the section,
A relational expression is calculated for each of a plurality of postures by the perimeter change / ventilation volume relational expression calculation unit prior to data collection, and at the time of data collection, one relational expression corresponding to the posture required by the physiological reaction measurement processing unit is obtained by the physiological index extraction unit. The estimated ventilation volume waveform is selected, the index value associated with the ventilation volume is calculated, and the index value associated with the ventilation volume is used for the physiological amount evaluation.

The correlation survey system according to the invention of claim 7 is the correlation survey system according to claim 5, which is measured in order to take into consideration the influence of the breathing style of the subject on the measured change in the peripheral length. The physiological index extraction unit has a respiratory mode determination unit that determines a respiratory mode from a plurality of changes in the peripheral length, and a relational expression is calculated by the peripheral length change vs. ventilation volume relational expression calculation unit for each respiratory mode determined by the respiratory mode determination unit. Is obtained prior to data collection, and at the time of data collection, the breathing style determination means determines the breathing style from a plurality of changes in the peripheral length measured by the physiological response measurement processing unit, and the physiological index extraction unit determines the relational expression corresponding to the breathing style. An estimated ventilation volume waveform is calculated by selecting one, an index value related to the ventilation volume is obtained, and the index value related to the ventilation volume is used for physiological amount evaluation.

A correlation investigation system according to an eighth aspect of the present invention is the correlation investigation system according to any one of the first to fourth aspects, wherein the physiological response measurement processing section has blood pressure measuring means and pulse wave measuring means, and Blood pressure and pulse wave are measured at the same time prior to collection, and the physiological index extraction unit extracts the blood pressure and the characteristic amount of the pulse wave, and obtains the relational expression between the extracted pulse wave and the characteristic amount of the blood pressure. By including the equation calculation unit, the characteristic amount of the blood pressure is estimated from the characteristic amount of the pulse wave and the relational expression without measuring the blood pressure at the time of data collection, and is used for the physiological amount evaluation.

A correlation investigation system according to a ninth aspect of the present invention is the correlation investigation system according to any one of the first to fourth aspects, wherein the physiological response measuring section has a cycle associated with a change associated with respiration and a contractile activity of the heart. A means for measuring at least one type of wave is provided, and the physiological reaction processing unit detects the magnitude and frequency of the main periodic component of the respiratory-related fluctuation waveform as a physiological index, and a specific wave that appears periodically in the cardiac contraction activity-related periodic wave. Then, the peak value, the amplitude, a means for determining the characteristic amount such as the occurrence interval as a physiological index, to determine the magnitude of the respiratory fluctuation component by analyzing the time series of the physiological index in the physiological amount evaluation determination unit, The activity of the autonomic nervous system is calculated by using the frequency characteristic data of the respiratory variation component stored prior to the data collection and the respiration magnitude and frequency obtained by the physiological reaction processing unit. Those having a means for evaluating the state.

A correlation investigation system according to the invention of claim 10 is the correlation investigation system according to any one of claims 1 to 4, wherein the stroke volume is estimated from the blood pressure waveform measured by the physiological index extracting section. It has a stroke volume estimation means, converts the change in stroke volume estimated by the physiological volume evaluation and determination unit into isochronous time interval data, and calculates the phase with fluctuations related to respiration. It has a phase-time conversion means for converting the phase amount into time, and shifts the evaluation target section of the stroke volume converted into equal time interval data by the advance or delay time calculated by the phase-time conversion means. To evaluate the physiological amount.

According to an eleventh aspect of the present invention, there is provided the correlation checking system according to any one of the first to fourth aspects, in which the data collection control section collects the collection frequency and the collection frequency relating to the subjective quantity collection for each subjective quantity collection mode. It has a function of holding the history of intervals, collection modes, etc., and every time the subjective quantity collection signal is sent from the physiological quantity evaluation / judgment unit, the history relating to the subjective quantity collection is used from the previous collection mode and the previous collection. Calculate the elapsed time, the number of executions of each collection mode, etc.
The calculation result is considered to determine whether or not to collect the subjective amount.

The correlation survey system according to a twelfth aspect of the present invention is the correlation survey system according to any one of the first to fourth aspects, in which prior to data collection, the subjective quantity data collection unit asks the person to be measured a question item. It has a subjective figure standard value calculating means for presenting a plurality of scale diagrams and answering the ranges and calculating a value corresponding to each range as a standard value.At the time of data collection, the subjective quantity collection signal from the data collection control unit is the subjective quantity. Each time the subjective amount data is sent to the data collection unit and the subjective amount data is input, the subjective amount is evaluated using the standard value.

A correlation checking system according to a thirteenth aspect of the present invention is the correlation checking system according to any one of the first to fourth aspects, in which the subjective data collecting unit includes a voice data input means, a voice data registration means, and a voice data recognition. Have means,
Prior to data collection, multiple types of voice data of the person to be measured are registered, and at the time of data collection, a subjective amount collection control signal is sent from the data collection control unit to the subjective amount data collection unit, and the person to be measured is input to the voice data input means. , The subject's voice data is input by the person to be measured by giving an evaluation value when the registered voice data and the input voice data are compared and collated and the registered data is matched. To do.

[0040]

The correlation research system according to the invention of claim 1 is
By providing the function of updating the preset pattern of the in-vivo parameter during data collection, it is possible to create a preset pattern for each person to be measured, and prevent erroneous evaluation due to differences in evaluation criteria due to individual differences.

Further, since the collection of the subjective amount can be performed not only by the comparison result of the in-vivo parameter patterns, it becomes possible to additionally register as a new pattern in the preset pattern, and a more detailed preset pattern for each subject can be created. it can.

The correlation survey system according to the second, third, and fourth aspects of the invention has various functions because the subject himself / herself can make a request for collecting a subjective amount and has a function of evaluating data measured other than physiological reaction. Subjectivity can be collected in situations. Further, it is possible to set in advance, assuming an environmental change for which the subjective quantity is desired to be collected.

In the correlation survey system according to the fifth and seventh aspects of the present invention, the change in the peripheral length at a plurality of points in the body is measured, and in the estimating means for the respiratory change amount curve, the difference in the part of the change in the peripheral length of the body is measured. To cope with the problem of time delay, a means for calculating a relational expression from changes in the surrounding length for several seconds before and after is used when calculating the respiratory volume. Accurate ventilation volume estimation can be performed by providing a means for estimating a respiratory change amount curve using the body length change and the function, and further obtaining a respiratory volume for each breath.

The correlation survey system according to the invention of claim 6 instructs the subject to take several postures in consideration of the fact that breathing changes depending on postures such as sitting, standing and lying down. The posture of the person to be measured is detected by the sensor that detects the posture, and the relational expression according to the posture of the individual is determined in advance. By adding the relational expression to the estimation means of the respiratory change amount curve and detecting the posture during measurement, when the posture change occurs, by changing the estimation means according to the posture, Ventilation can be estimated without being affected by posture.

In the correlation research system according to the invention of claim 8, prior to data collection, the pulse wave and blood pressure having a high correlation with blood pressure are simultaneously measured, and the relational expression between the characteristic amount of the pulse wave and blood pressure is obtained. By estimating the blood pressure from the pulse wave without measuring the blood pressure at the time of data collection, it is possible to reduce the degree of restraint and burden on the measurement subject.

According to the ninth aspect of the present invention, in the correlation research system, when the magnitude of the respiratory fluctuation component of the biological signal related to the cardiac cycle activity is used as an index of the autonomic nervous system, the fluctuation related to respiration is simultaneously measured. Since the magnitude and frequency of respiration are calculated by using these and the frequency characteristic data of the respiratory variability component stored in advance, evaluation is performed. It is possible to separate those due to changes and use those purely due to the state of the autonomic nervous system for evaluation, which allows more accurate evaluation.

According to a tenth aspect of the present invention, in the correlation investigation system, the correlation between the measured stroke volume and the estimated stroke volume and the respiratory frequency are obtained in advance for each subject, and Since the timing of the estimated stroke volume value is determined, highly accurate estimation can be performed.

According to the eleventh aspect of the present invention, the correlation research system has means for holding a history related to the collection of the subjective amount when collecting the subjective amount, and performs the subjective amount collection in consideration of the previous state of collecting the subjective amount. It is possible to collect the subjective quantity data as many times as necessary and to adjust the collection timing so that the collection is not biased to the collection mode.

In the correlation survey system according to the invention of claim 12, a plurality of question items and a scale diagram are presented to the person to be measured in advance prior to collecting the subjective amount, and the range is answered, and the value corresponding to each range is set as an individual standard. By calculating the value and using the standard value when collecting the data, the subjective amount is considered in consideration of the ambiguity of the subject's rating and individual differences.

In the correlation research system according to the thirteenth aspect of the present invention, a plurality of voice data of the person to be measured are registered in advance prior to the collection of the subjective amount, so that the subjective amount data can be input by voice during the data collection.

[0051]

【Example】

Example 1. The drawings of this embodiment will be described below. FIG.
FIG. 1 is a block diagram showing a correlation research system according to an embodiment of the present invention. In FIG. 1, 20 is a physiological reaction measurement processing unit that measures and processes the physiological reaction of the measurement subject in a non-invasive and non-constrained manner, and 21 extracts a physiological index from each physiological reaction measured by the physiological reaction measurement processing unit 20. The physiological index extraction unit 22 calculates the physiological amount from the physiological index extracted by the physiological index extraction unit 21, determines the physiological amount pattern using the determination criterion for the physiological amount set prior to data collection, and displays the result. A physiological quantity evaluation determination unit, and 24 a physiological index extraction unit 22
The data collection control unit 25, which controls data collection based on the subjective quantity collection mode set prior to data collection corresponding to the physiological pattern calculated in step 5, is controlled by a control signal from the data collection control unit 24. A subjective quantity data collection unit that collects the subjective quantity of the measurer, a pattern judgment reference updating unit 23 that reflects the physiological quantity evaluation result in the physiological quantity pattern judgment reference every time a control signal is output from the data collection control unit 24, Reference numeral 27 is an activity amount data collection unit that collects the activity amount and work content of the person to be measured by a control signal from the data collection control unit 24, and 26 is the data collection control unit 24.
An environment parameter collection unit for collecting data on the environment in which the person under test is placed by a control signal from
28 is a data recording unit for storing the collected data and processing results by the collecting units 25 to 27, and 29 is a correlation analysis of physiological amount, subjective amount, action amount, and environmental parameter using the data recorded in the data recording unit. It is an offline analysis unit.

Next, the operation of this embodiment will be described. In the physiological reaction measurement processing unit 20, the electrocardiogram, pulse wave,
It measures physiological reactions such as breathing and removes noise by filtering. The physiological index extraction unit 21 extracts a physiological index (RR interval, T wave amplitude, pulse wave peak value, etc.) from the measured physiological response. The physiological quantity evaluation determination unit 22 calculates the in-vivo parameter from the obtained physiological index, compares it with the preset pattern of the in-vivo parameter preset in the pattern determination reference updating unit 23 to determine the pattern number, and The results such as the index value, the in-vivo parameter pattern, and the pattern number are displayed on the display.

The data collection control section 24 determines the subjective quantity collection mode according to the pattern number decided by the physiological quantity evaluation decision section 22, and sends a collection signal to the environment parameter collection section 26 and the action quantity data collection section 27. In addition, the pattern determination reference updating unit 23 receives, every time the subjective amount data is collected, the number of the preset pattern at that time and the in-vivo internal parameter pattern of the measured person from the physiological amount evaluation determining unit, and receives the pattern number. The average of the preset pattern corresponding to and the received internal parameter pattern is calculated, and the result is updated as the preset pattern corresponding to the pattern number.

The subjective amount data collection unit 25, the environment parameter collection unit 26, and the action amount data collection unit 27 receive collection signals from the data collection control unit 24 and collect data respectively. The collected data is one set of data,
It is recorded in the data recording unit 28 together with the in-vivo parameter and the physiological amount. The offline analysis unit 29 performs a correlation analysis of the physiological amount, the subjective amount, the environmental parameter, and the action amount after the data collection is completed.

Example 2. FIG. 2 is a block diagram showing a correlation investigation system according to an embodiment of the present invention. In the present embodiment, when the measured person feels some subjective state or change in the data collection control section 24, the measured person himself / herself inputs the subjective quantity collection request signal to the data collection section 24. Made possible In the figure, the same reference numerals as those in FIG. 1 indicate the same or corresponding parts, but the data collection control unit 24 in the present embodiment is configured so that the subjective amount collection request from the physiological amount evaluation determination unit 22 and the subjective amount from the person to be measured are performed. It has a function to input a collection request.

The operation of this embodiment will be described below when the subject receives a subjective quantity request. When a subjective amount collection request signal is input to the data collection control unit 24 by the subjective amount collection request 30, a signal is sent from the data collection control unit 24 to the pattern determination reference updating unit 23, and the pattern determination reference updating unit 23 sets the physiological amount. The data of the in-vivo internal parameter corresponding to the time point when the subjective quantity data collection request is received from the evaluation determination unit 22 and is compared with the preset pattern.

As a result of the comparison, if any of the preset patterns matches, the average of the preset pattern and the received internal parameter pattern is calculated, and the preset pattern data is updated as a new preset pattern. If it does not match the preset pattern,
Perform additional registration as a new preset pattern. The data collection control unit 24 uses the subjective amount data, the environmental parameters,
It goes without saying that the activity amount data is collected and controlled.

Example 3. FIG. 3 is a block diagram showing a correlation investigation system according to an embodiment of the present invention. In the figure, the same reference numerals as those in FIG. 1 indicate the same or corresponding parts. In the figure, reference numeral 40 is an activity amount data analysis unit, which generates a subjective amount collection request signal based on the result of analyzing the activity amount data and sends it to 24 data collection control units. The data collection control unit 24 has a function of inputting a subjective amount collection request from the physiological amount evaluation determination unit 22 and a subjective amount collection request from the action amount data analysis unit 40.

The operation of the present embodiment will be described below with respect to the operation when there is a subjective amount request from the action amount data analysis unit 40. When a subjective amount collection request signal is input to the data collection control unit 24 in response to a subjective amount collection request from the activity amount data analysis unit 40, a signal is sent from the data collection control unit 24 to the pattern determination reference updating unit 23 to perform pattern determination. The reference updating unit 23 receives the data of the in-vivo internal parameter corresponding to the time point when the request for collecting the subjective amount data is received from the physiological amount evaluation determining unit 22, and compares the data with the preset pattern.

As a result of the comparison, if any of the preset patterns matches, the average of the preset pattern and the received internal parameter pattern is calculated, and the preset pattern data is updated as a new preset pattern. If it does not match the preset pattern,
Perform additional registration as a new preset pattern.

The subjective amount collection request signal sent from the activity amount data analysis unit 40 to the data collection control unit 24 is a video camera or the like that photographs the work contents and the person to be measured, and image processing detects a specific work or action. To generate. For this specific work or action, if the work content or action pattern that the experimenter wants to collect is set in advance, the subjective amount of the specific work content or action pattern can be collected.

Example 4. FIG. 4 is a block diagram showing a correlation investigation system according to an embodiment of the present invention. In the figure, the same reference numerals as those in FIG. 1 indicate the same or corresponding parts. In the figure, reference numeral 50 denotes an environment parameter analysis unit, which generates a subjective quantity collection request signal based on the result of analysis of the environment parameters and sends it to the data collection control unit 24 according to the present embodiment. The data collection control unit 24 has a function of inputting a subjective amount collection request from the physiological amount evaluation determination unit 22 and a subjective amount collection request from the environment parameter analysis unit 40.

The operation of this embodiment will be described below when a subjective amount is requested from the environment parameter analyzing section 50. In the environmental parameter analysis unit 50,
For example, the generation of a warning sound, the difference between the set room temperature and the actual room temperature, the increase in room noise, etc. are detected, and a subjective amount collection request signal is generated. The generated subjective amount collection request is sent to the data collection control unit 2
4, the pattern determination criterion updating unit 23 receives the data of the in-vivo internal parameter corresponding to the time point when the data collection request is made from the physiological amount evaluation determining unit 22, and whether the pattern determination criterion updating unit 23 matches the preset pattern. To compare.

As a result of the comparison, if any of the preset patterns matches, the average of the preset pattern and the received internal parameter pattern is calculated, and the preset pattern data is updated as a new preset pattern. If it does not match the preset pattern,
Register additionally as a new preset pattern.

In the above-described first to fourth embodiments, the pattern determination reference updating unit 23 is configured to update the preset pattern by calculating the average of the biological internal parameter pattern and the preset pattern when collecting the subjective amount data. However, the in-vivo internal parameter pattern of the evaluation result may be directly used as the update data without calculating the average. In addition, the preset pattern may not be updated for all the in-vivo internal parameters to be evaluated, but the reference value of the preset pattern may be updated only for the parameter exceeding a certain standard.

Further, although the single method of requesting the collection of subjective quantities is constructed in the embodiment, it may be constructed by combining a plurality of methods.

Furthermore, in the second to fourth embodiments, when the preset pattern and the biometric internal parameter pattern at the time of requesting the collection of the subjective amount do not match, the biometric internal parameter pattern at this time is additionally registered as a new preset pattern. However, it may be recorded in the data recording unit 28 together with the subjective amount data.

Example 5. FIG. 5 is a block diagram showing an embodiment of a respiration estimation unit mounted on the correlation research system according to the fifth aspect. The breathing data detection unit 61 instructs the subject to perform a task such as constant breathing (fast, slow, normal), abdominal breathing, and chest breathing, and measures changes in breathing volume at that time.

The respiratory change curve estimation function calculation unit 62 of FIG.
Then, the relational expression or the function coefficient is calculated and set in the respiratory change amount curve estimation function calculation unit 63, and in the tidal volume calculation unit 64, the respiratory amount is obtained from the trunk portion peripheral length change amount.

The breathing sensor wearing vest 71 shown in FIG. 6 is a garment in which a perimeter change detecting sensor is embedded, and there is not much space between the vest and the body surface. In the correlation research system according to the fifth aspect, the wearer can wear the same to fix the perimeter change detection sensor wearing position at a fixed position for each individual.

Example 6. Like the posture detection sensor 81 of FIG. 7, the position of the waist of the measured person from the reference position is measured by a three-dimensional position sensor (Polhemous sensor) using a magnetic field attached to the waist of the measured person. FIG. 8 is a block diagram showing an embodiment of a respiration estimating unit mounted in the correlation research system according to claim 5, and is a method in which means for considering the posture is added to claim 5. First, before measurement, the subject is instructed to take a posture such as sitting, standing or lying down.

Meanwhile, the posture of the person to be measured detected by the posture detecting unit 91 of FIG. 8 is determined by the posture determining unit 92, and the relational expression reflecting the feature of the posture of each individual is calculated by the posture determining function calculating unit 93. Then, it is set in the posture-specific respiratory change amount curve estimation function calculation unit 94. During the measurement, the posture determined by the posture determination unit 92 is automatically selected by the posture-based respiratory change amount curve estimation function calculation unit 94 from a relational expression prepared in advance to determine the posture. Allows for individualized respiratory volume estimation with consideration.

Example 7. FIG. 9 is a block diagram showing an embodiment of a respiration estimation unit mounted in the correlation research system according to claim 5, and before measurement, there are several types of respiration at different velocities, chest type, or Instruct how to breathe such as belly. In order to improve the accuracy by reflecting the characteristics of the breathing method for each person by measuring the breathing during the breathing method-specific breathing data detection unit 101 in FIG. 9 and calculating the breathing amount curve estimation function calculation unit 102. First, the range of the breathing method is examined so that the breathing method is appropriately distributed according to a normal situation, and is set in the breathing method-based respiratory change amount curve estimation function calculation unit 103.

During the measurement, according to the posture, a respiratory change amount-dependent curve estimation function calculating unit 103 selects a function for respiratory volume estimation prepared in advance, and a respiratory method corresponding to each time is selected. Alternatively, it becomes possible to estimate the respiratory volume in consideration of the respiratory method that reflects the characteristics of the individual.

Example 8. FIG. 10 is a configuration diagram showing an embodiment of the correlation research system according to claim 8. In the figure, 20 is a physiological reaction measurement processing unit, 21 is a physiological index extraction unit, 110 is a feature amount extraction unit, 111 is a relational expression calculation unit, 1
Reference numeral 12 is a relational expression storage unit, and 113 is an estimated value calculation unit. In the present embodiment, when extracting the physiological index, the blood pressure and the pulse wave are simultaneously measured prior to the data collection, and a relational expression for estimating the blood pressure is obtained from the pulse wave.At the time of data collection, the blood pressure is measured from the pulse wave without measuring the blood pressure. To estimate.

Next, the operation of this embodiment will be described. First, in the calibration (relational expression calculation) before the experiment, with respect to the blood pressure and the pulse wave measured by the physiological response measuring unit 20,
In the characteristic amount extraction unit 110 of the physiological index extraction unit 21, 1
For each beat, for example, the characteristic value such as the systolic blood pressure value, pulse wave transit time, and pulse wave height is extracted, and a fixed number of data sets are acquired (m index × n cases).

Next, in the relational expression calculating unit 111, the multiple regression analysis using the systolic blood pressure value for the reference variable Y and the pulse wave transit time, pulse wave height, and heartbeat for the explanatory variable X is performed for this data set to estimate. Get the weighting for. (That is, the weighting that satisfies the following linear form is calculated.)

Y = a1 * X1 + a2 * X2 + a3 * X3 + ... am * Xm + b, where Y; reference variable (blood pressure) Xk; explanatory variable (feature amount from pulse wave, k = 1 to m ) Ak; weighting for each feature b; intercept

Then, these coefficients are stored in the relational expression storage unit 1
Store at 12. Next, at the time of data collection, the physiological response measuring unit 20 does not measure the blood pressure, and the characteristic amount of the pulse wave used as the explanatory variable X when calculating the relational expression is used as the characteristic amount extracting unit 11
The estimated blood pressure value yi is calculated for each beat by the estimated value calculation unit 113 using the relational expression extracted in 1 and stored in the relational expression storage unit 112.

Yi = a1 * x1i + a2 * x2i + a3 * x3i + ... am * xmi + b where yi; i-th estimated blood pressure value xki; i-th pulse wave feature amount (k = 1 to m) ak ; Weighting for each feature b; intercept

As described above, according to the present embodiment, the blood pressure is not measured at the time of data collection, but is estimated from the pulse wave that can be easily measured. Therefore, the degree of restraint / burden of the measurement subject can be reduced.

In this embodiment, the systolic blood pressure value is used as the reference variable, but the mean blood pressure may be used. In addition, of the feature quantities used as the explanatory variables, the heartbeat may be obtained from the electrocardiogram, and the pulse wave transit time may be the time from the R wave of the electrocardiogram to the pulse wave base point, as well as the arrival time difference between the pulse wave base points of two sites. You may use.

Example 9. FIG. 11 is a block diagram showing an embodiment of the correlation research system according to claim 9. In the figure, 121 is a first measuring means for measuring fluctuations related to respiration, and 122 is a first measuring means for determining the magnitude and frequency of the main periodic component of the fluctuation waveform measured by the first measuring means 121.
Analyzing means, 123 is a second measuring means for measuring a periodic wave related to the contractile activity of the heart, 124 is a detecting means for detecting a specific wave that appears periodically in the periodic wave measured by the second measuring means 123, and 125 is It is the second analysis means for obtaining the characteristic amount such as the peak value, the amplitude, and the occurrence interval of the specific wave.

Reference numeral 126 is a third analyzing means for analyzing the time series of the above-mentioned characteristic quantities to obtain the magnitude of the respiratory variation component, 127 is the frequency characteristic data of the respiratory variation component stored in advance, and 128 is the frequency characteristic data. And the first analysis means 1
22 the size and frequency of respiration, and the third
It is an evaluation unit that evaluates the activity state of the autonomic nervous system using the magnitude of the respiratory fluctuation component obtained by the analysis unit 126.

Next, the operation of this embodiment will be described.
The first measuring means 121 measures a change associated with the breath of the subject. For this purpose, for example, a mask or mouthpiece may be attached to measure the breathing volume directly, or in order to reduce the burden on the person being measured, the circumference of the chest and abdomen may be adjusted with an elastic variable resistance element. You may estimate by measuring.

Alternatively, a thermistor may be attached to the nostril and the temperature change due to respiration may be measured and estimated. Furthermore, it is possible to measure the movements of the rib cage and the abdomen from a video image without contact, and to estimate the movement, or to measure with ultrasonic waves.

In the first analysis means 122, the first measurement means 1
From the fluctuation related to respiration measured in step 21, the magnitude and frequency of the main periodic component are obtained. For this purpose, for example, frequency analysis of time-varying series data for a certain period of time may be performed to obtain the peak value and the peak frequency on the power spectrum or the amplitude spectrum. Taking into consideration that sharp peaks cannot be obtained or multiple peaks occur, the center of gravity frequency is obtained from the weighted average value and this is taken as the respiratory frequency,
It is desirable to set the average value of the power or amplitude within a constant frequency around it as the magnitude of respiration.

The second measuring means 123 measures a periodic wave associated with the contractile activity of the heart. For this purpose, for example, a surface electrode may be attached to the chest or limbs to measure an electrocardiogram, or a pulse wave may be measured by attaching a photoelectric transducer to a fingertip or ear lobe. You may measure the heart sounds with a microphone. Continuous blood pressure may be measured invasively or by a non-invasive method such as a volume compensation method.

In the detecting means 124, the second measuring means 123
The specific wave appearing periodically in the periodic wave related to the contractile activity of the heart measured by is detected. As the specific wave, a maximum value or a minimum value for each beat can be easily detected. For example, an R wave in an electrocardiogram, a peak point or a base point in a pulse wave, and a systolic blood pressure or a diastolic blood pressure in blood pressure can be considered. The detection of these specific waves can be realized by an electric circuit or software.

In the second analysis means 125, the detection means 124
The characteristic values such as the peak value, the amplitude, and the occurrence interval of the specific wave detected in step 3 are obtained.

In the third analysis means 126, the second analysis means 1
The time series of the feature amount obtained in 25 is analyzed to obtain the magnitude of the respiratory variation component. For this, the same spectrum analysis as that of the first analysis unit 122 may be used, or a bandpass filter having the respiratory frequency as the center frequency may be used.

The evaluation means 128 stores the frequency characteristic data 12 of the respiratory fluctuation component stored prior to the data collection.
7, the magnitude and frequency of respiration determined by the first analysis means 121, and the magnitude of the respiratory fluctuation component determined by the third analysis means 126 are used to evaluate the activity state of the autonomic nervous system. The frequency characteristic data 127 is given as a function of the magnitude (RF) of the respiratory variation component with respect to the magnitude (A) of breathing and the frequency (F) of breathing. When F and RF are logarithmic values, the function f is often a linear expression with a slope near −1 as shown in the example.

General form: RF = f (F, A) Example: log (RF) = a * A * log (F) + b

This may be prepared for each individual by performing a respiratory control experiment to obtain the magnitude of the respiratory variation component for each respiratory frequency, or prepared for each attribute such as age, sex, and physique. You may substitute the thing. The evaluation method is obtained by the following equation, where At is the magnitude of respiration at that time, Ft is the frequency, and RFt is the magnitude of the respiratory fluctuation component.

Index = RFt / f (Ft, At)

In this case, Index = 1 in a normal state, and Index <1 indicates that the respiratory fluctuation component is small. When the evaluation target is the respiratory fluctuation component of the heartbeat, the gain of the baroreceptor reflex is It means a decline.

Example 10. FIG. 12 is an embodiment of a flowchart showing the stroke volume estimation method according to the tenth aspect. In the figure, 131 is a data sampling unit that digitally converts the measured blood pressure waveform, 132 is a diastolic blood pressure detection unit that detects a diastolic blood pressure time point from the blood pressure waveform digitally converted by the data sampling unit 131, 13
Reference numeral 3 denotes an inflection point detection unit for detecting the time point of the inflection point after the systolic blood pressure time point, and 134 denotes blood pressure value (amplitude) data based on the diastolic blood pressure value from the diastolic blood pressure time point to the inflection point time point. An area calculation unit for obtaining the total sum, 135 a stroke volume calculation unit for calculating a stroke volume value, and 136 a time for correcting the timing of the calculated stroke volume using the time correction data 137. It is a characteristic correction unit.

Next, the operation will be described. The measured blood pressure waveform is converted into a digital value by the sampling unit 131. From the blood pressure waveform converted into a digital value, the diastolic blood pressure detection unit 132 detects the diastolic blood pressure time point. The inflection point detection unit 133 detects the time point of the inflection point after the systolic blood pressure time point. The area calculation unit 134 obtains the total sum of blood pressure value (amplitude) data based on the diastolic blood pressure value from the diastolic blood pressure time point to the inflection point time point.

Since the sum and the stroke volume are in a proportional relationship, the stroke volume calculation unit 135 calculates the stroke volume value using the proportional coefficient obtained in advance. In order to correct the timing of the stroke volume value calculated here,
Using the time correction data 137 previously obtained by the time characteristic correction unit 136, the timing is corrected to obtain the estimated stroke volume.

For the time correction data, the correlation between the previously measured stroke volume and the estimated stroke volume is examined, the phase relationship based on the respiratory frequency is obtained, and the correction time data is created. Just keep it. Further, the proportional coefficient between the stroke volume measured at this time and the estimated stroke volume may be obtained together.

Example 11. FIG. 13 is a configuration diagram showing an embodiment of the correlation research system according to claim 11. In FIG. 13, 22 is a physiological quantity evaluation and determination unit, 24 is a data collection control unit, and 25 is a subjective quantity data collection unit. The data collection control unit 24 has a subjective amount collection history storage unit 140, a subjective amount collection history calculation unit 141, and a subjective amount collection determination unit 142. In the present embodiment, when the subjective quantity collection is determined by the data collection control unit 24, the history of the subjective quantity collection for each subjective quantity collection mode, such as the collection frequency, the collection interval, and the collection mode, is held, and the previous collection mode and collection are performed. Of time, the number of executions of each collection mode, etc. are calculated, and it is determined whether or not the subjective amount collection is performed in consideration of these.

Next, the operation will be described. At the time of data collection, when the subjective amount data is first input to the subjective amount data collection unit 25, the subjective amount data collection history storage unit 140 of the data collection control unit 24 collects the subjective frequency data for each subjective amount collection mode. A history of collection intervals, collection modes, etc. is retained. Next, the subjective amount collection signal is changed to the physiological amount evaluation determination unit 2
Each time it is sent from 2, the subjective amount collection history calculation unit 14
In 1, the history regarding the subjective amount collection held in the subjective amount collection history storage unit 140 is used to calculate the previous collection mode, the time elapsed since the previous collection, the number of executions of each collection mode, and the like. The subjective amount collection determination unit 142 uses this calculation result, and determines whether or not to perform the subjective amount collection according to the determination logic recorded in advance.

As described above, in the present embodiment, when collecting the subjective quantity data, the collection is performed in consideration of the previous collection state, so that the collection is performed as many times as necessary for each collection mode so that the collection is not biased to a specific collection mode. Efficient data collection is possible, such as collecting quantitative data. In addition, by adjusting the collection timing, it is possible to avoid frequent input of the subjective amount, and it is possible to reduce the burden on the person to be measured.

In the present embodiment, the individual subjective amount collection judgment was described, but the data collection may be terminated when the required number of data items is satisfied in all modes.

Example 12. FIG. 16 is a block diagram showing an embodiment of the correlation research system according to claim 12. In FIG. 16, 24 is a data collection control unit, 25 is a subjective amount data collection unit, and the subjective amount data collection unit 25 includes a subjective amount input unit 150, a subjective amount scale value calculation unit 151, and a subjective amount scale value recording unit 152. Have In this example, when collecting the subjective amount data, prior to the data collection, a plurality of question items are presented in advance to the person to be measured together with the scale, and the range is answered,
A standard value is calculated for the value corresponding to each range, and the subjective value is evaluated using this standard value when collecting data.

That is, the fuzzy sequence category method of Yoshikawa et al. (1994) (Yoshikawa / Nishimura: Improvement of the fuzzy category method by multiscale drawing and Between set. IEICE Transactions J77-
D-II, 1, 154-161, 1994.). In the fuzzy series category method, an adverb indicating the degree of "very" is presented to the subject as a question item together with a graph scale diagram, and the range represented by the adverb is answered to obtain a fuzzy membership function, and the scale value is It is calculated from the fuzzy membership function, and an adverbial answer is sought for the actual rating, but the scale value obtained in advance is given to the answer value.

Next, the operation will be described. First, prior to data collection, the subjective quantity input unit 150 presents a plurality of question items to the person to be measured together with a scale on a CRT display, for example, and causes the range of each item to be answered, for example, by a keyboard or the like. The input answer value is then evaluated by the subjective quantity scale value calculation unit 151, for example, as a fuzzy membership function, and a defuzziness value is obtained by the centroid method or the like, and registered in the subjective quantity scale value registration unit 152. It

At the time of data collection, a subjective quantity collection signal is sent from the data collection control section 24 to the subjective quantity input section 150 of the subjective quantity data collection section 25, and the subjective quantity input section 150 displays question items according to the subjective quantity collection mode. Every time a plurality of presented values are input and an answer value thereto is input using, for example, a keyboard, the subjective amount scale value calculation unit 151 displays the scale values corresponding to the question items registered in advance in the subjective amount scale value registration unit 152. The search is performed, and the scale value is recorded in the data recording unit 28 as subjective amount data.

As described above, according to the present embodiment, it is possible to perform the subjective quantity evaluation using the fuzzy series category method, and the subjective evaluation value considering the ambiguity of the subjective evaluation of the person to be measured and the individual difference can be obtained.

In this embodiment, a keyboard is used as the subjective quantity input means, but a mouse, a trackball, a joystick or the like may be used. In addition, the scoring is not performed every time the subjective amount data is input, but when the data is collected, the data recording unit 28
The answer values may be stored as they are, and after collecting the data, the subjective value scale value calculation unit 151 may collectively make a score.

Example 13 FIG. 17 is a configuration diagram showing an embodiment of the correlation research system according to claim 13. In FIG. 17, reference numeral 24 is a data collection control unit, and 25 is a subjective amount data collection unit. The subjective amount data collection unit 25 has a voice data input unit 160, a voice data evaluation unit 161, and a voice data registration unit 162. In the present embodiment, when collecting subjective amount data, a plurality of types of voice data of the person to be measured are registered in advance prior to data collection, and at the time of data collection,
The person to be measured inputs subjective amount data by voice.

Next, the operation will be described. First, prior to data collection, a plurality of question items are presented to the person to be measured by the voice data input unit 150 on a CRT display, and the answers to the items are verbally input as voice data using, for example, a microphone. The input voice data is then evaluated by the voice data evaluation unit 161 for features such as frequency and formant as voice data, converted into a voice data score, and registered in the voice data registration unit 162.

At the time of data collection, the data collection control unit 24
Sends a subjective amount collection signal to the voice data input unit 160 of the subjective amount data collection unit 25, and the voice data input unit 160 presents a plurality of question items according to the subjective amount collection mode.
Each time the answer value to the question item is verbally input as voice data, the voice data evaluation unit 161 evaluates the characteristics of the input voice data and corresponds to the question item registered in advance in the voice data registration unit 162. The voice data score is searched, and the score is recorded in the data recording unit 28 as subjective amount data.

As described above, according to the present embodiment, the subjective quantity evaluation using the voice data can be performed, and the subject can perform the subjective evaluation without interrupting the work, and the subjective evaluation with less burden can be performed. Also, when registering voice data in advance,
By presenting tasks (mental arithmetic, music presentation, etc.) that induce tension or relaxation together with question items, it is possible to evaluate by tone change during tension or relaxation.

In this embodiment, the microphone is used as the voice data input means, but other means may be used. Further, the scoring may be performed not only for each input of voice data but also for storing the response value of the voice data in the data recording unit 28 as it is at the time of data collection and collectively scoring by the voice data evaluation unit 161 after the data collection.

[0116]

According to the first aspect of the present invention, a physiological reaction measurement processing unit for measuring and processing a physiological reaction of a subject without any invasiveness and non-constraint, and a physiological index is extracted from each measured physiological reaction. A physiological index extraction unit, and a physiological amount evaluation determination unit that calculates the physiological amount from the extracted physiological index, determines the physiological amount pattern using the determination criteria for the physiological amount set prior to data collection, and displays the result. A data collection control unit that performs data collection control based on a subjective quantity collection mode that is set prior to data collection corresponding to the physiological pattern
A subjective quantity data collecting section that collects the subjective quantity of the person to be measured, which is controlled by a control signal from the data collecting control section, and a physiological pattern evaluation of the physiological quantity evaluation result each time the data collection control section outputs a control signal. An evaluation criteria update unit that reflects the criteria, an activity amount data collection unit that collects the activity amount and work content of the measured person, and an environmental parameter collection unit that collects data related to the environment in which the measured person is placed. , A data recording unit that stores the collected data and processing results described above, and an offline data analysis unit that performs correlation analysis of physiological amount, subjective amount, action amount, and environmental parameter using the data recorded in the data recording unit. Therefore, the measured physiological response is converted into a biological internal parameter, multiple parameters are compared as a pattern with a preset pattern, and when they match, the data is calculated. By repeating the collection operation and updating the preset pattern using the collected internal parameter data, it is possible to construct a preset pattern suitable for each person to be measured and collect data considering individual differences. There is an effect that can be done.

According to the second aspect of the present invention, in the correlation research system according to the first aspect, when the person to be measured feels some subjective state or change, the person to be measured himself / herself makes a subjective amount to the data collection control unit. By sending an input request signal and enabling the input of the subjective amount to the subjective amount collection unit, the physiological amount pattern at the time of the input request from the measured person enters the subjective amount collection mode corresponding to the input subjective amount data. If the physiological pattern is not included in the set physiological pattern, the criterion updating unit is provided with a function of generating or changing a new physiological pattern criterion and registering the physiological pattern criterion for each subject. Since it can be used for evaluation, the subject himself / herself can make a request to collect the subjective amount, and by having the function to evaluate the measured data other than the physiological reaction, it can be used in various situations. There is an effect that kicking subjective amount of the collection can be performed.

According to the invention of claim 3, in the correlation research system according to claim 1, the specific work content is detected from the activity amount data collected by the activity amount data collection unit and the data collection control unit is subjectively evaluated. It has an action amount data analysis section that sends a quantity collection signal, and sends a subjective quantity collection control signal to the data collection control section when the specific work content set prior to data collection is detected, and the subjective quantity data collection section Subjectivity data is collected, and at least one of the physiological index extracted by the physiological index extraction unit and the physiological amount obtained by the physiological amount evaluation / judgment unit is recorded in the data recording unit. Since the correlation of the amount is analyzed, the person to be measured can make the request for collecting the amount of observation, and also has the function to evaluate the measured data other than the physiological response. There is an effect that the amount collected can be performed.

According to the invention of claim 4, in the correlation research system according to claim 1, the environmental parameters collected by the environmental parameter collecting section are analyzed to detect changes in the environmental parameters, and a signal is sent to the data collecting control section. An environmental change detection unit is provided, the subjective amount data collecting unit collects subjective amount data, and at least one of the physiological index extracted by the physiological index extracting unit and the physiological amount obtained by the physiological evaluation determining unit is recorded as data. Since it is recorded in the section and the correlation between environmental changes and physiological / subjective quantities is analyzed, it is possible to set in advance assuming environmental changes for which subjective quantities are desired to be collected. There is an effect that the subjective amount of can be collected.

According to the fifth aspect of the present invention, in the correlation survey system according to any of the first to fourth aspects, the body circumference change detecting sensor mounted on the person to be measured is always fixed in position for the same person to be measured. By taking measures to attach it to the body, and by having ventilation volume measuring means in the physiological response measurement processing unit, multiple ventilation length waveforms and changes in the surrounding length due to respiration of the chest and abdominal torso are measured before data collection. , By having a perimeter change versus ventilation volume relational expression calculation unit that obtains a reproducible relational expression between the perimeter length change waveform and the ventilation volume waveform in consideration of the time difference of the influence of respiration that appears in the perimeter change,
When collecting data, the physiological index extraction unit calculates an estimated ventilation volume waveform from the plurality of surrounding length change waveforms and the relational expression without measuring the ventilation volume, and obtains an index value related to the ventilation volume to evaluate the physiological volume. Since it is reflected in, the respiratory change amount curve is estimated using the body length change and the function, and the effect of accurate ventilation estimation can be obtained by obtaining the respiratory volume for each time. is there.

According to the sixth aspect of the present invention, in the correlation research system according to the fifth aspect, in order to consider the influence of the posture of the person to be measured on the change in the measured peripheral length, the posture is set in the physiological reaction measurement processing section. It has a measuring means, and calculates the relational expression for a plurality of postures in the perimeter change versus ventilation volume relational expression calculation unit prior to data collection, and at the time of data collection, the relational expression corresponding to the posture calculated by the physiological reaction measurement processing unit is calculated. 1 in the index extraction unit
One of them was selected to calculate the estimated ventilation volume waveform, the index value related to ventilation volume was calculated, and the index value related to ventilation volume was used for physiological evaluation, so that sitting position, standing position, supine position, etc. Taking into account that breathing changes depending on the posture, the subject is instructed to take several postures, and the posture detection sensor detects the posture of the measured person. Is added to the respiratory change amount curve, and when the posture is changed by detecting the posture during measurement, by changing the estimated ventilation volume according to the posture, ventilation volume estimation that is not affected by the posture can be performed. The effect is that it can be done.

According to the invention of claim 7, in the correlation research system according to claim 5, in order to take into consideration the influence of the breathing style of the person to be measured on the change in the measured peripheral length, a plurality of measured surroundings are measured. The physiological index extraction unit has a respiratory mode determination unit that determines the respiratory mode from the length change, and the relational expression is collected by the peripheral length change versus ventilation volume relational expression calculation unit for each respiratory mode determined by the respiratory mode determination unit. Prior to the above, at the time of data collection, the respiratory mode is determined by the respiratory mode determination means from a plurality of changes in the peripheral length measured by the physiological response measurement processing unit,
Select one relational expression corresponding to the breathing pattern in the physiological index extraction unit to calculate the estimated ventilation volume waveform, obtain the index value related to ventilation volume, and use the index value related to ventilation volume for physiological volume evaluation. Since it is set, there is an effect that an accurate ventilation volume can be estimated.

According to the eighth aspect of the present invention, in the correlation research system according to any one of the first to fourth aspects, the physiological response measurement processing section has a blood pressure measuring means and a pulse wave measuring means, and prior to data collection. Blood pressure and pulse wave are measured at the same time,
It is equipped with a pulse wave-to-blood pressure relational expression calculation unit that extracts the characteristic quantities of blood pressure and pulse wave by the physiological index extraction unit and obtains the relational expression between the extracted pulse wave and blood pressure characteristic quantity. Since the feature amount of the blood pressure is estimated from the relational expression of the pulse wave and the relational expression without measuring, and is used for the physiological amount evaluation, if the relational expression of the blood pressure and the pulse wave is obtained in advance, the blood pressure will be measured at the time of data collection. Since the blood pressure is estimated from the pulse wave that can be easily measured without using the measurement, a blood pressure is estimated using a relational expression.

According to a ninth aspect of the present invention, in the correlation research system according to any of the first to fourth aspects, at least a periodical wave associated with a change associated with respiration and a contractile activity of the heart is detected in the physiological response measuring section. Means for measuring one type at a time, and the physiological reaction processing unit detects, as a physiological index, the magnitude and frequency of the main periodic component of the respiratory-related fluctuation waveform and a specific wave that periodically appears in the cardiac contraction activity-related periodic wave, and the peak thereof. Means for obtaining characteristic quantities such as values, amplitudes, occurrence intervals, etc. as a physiological index, and a physiological quantity evaluation and determination unit to analyze the time series of the physiological index to obtain the magnitude of the respiratory fluctuation component and store it prior to data collection. Means for evaluating the activity state of the autonomic nervous system by using the frequency characteristic data of the respiratory fluctuation component being operated and the respiration magnitude and frequency obtained by the physiological reaction processing unit. Therefore, when the magnitude of the respiratory fluctuation component of the biological signal related to the cardiac cycle activity is used as an index of the autonomic nervous system, the fluctuation related to respiration is measured at the same time to obtain the magnitude and frequency of the respiration. Since the evaluation is performed by using the frequency characteristic data of the respiratory variation component stored in advance, among the changes in the magnitude of the respiratory variation component, those due to the changes in breathing are separated to purely the autonomic nervous system. It is possible to perform more accurate evaluation because it is possible to use the ones depending on the state of.

According to the tenth aspect of the present invention, in the correlation research system according to any one of the first to fourth aspects, the stroke is estimated from the blood pressure waveform measured by the physiological index extracting unit. The output estimation means and the change in the stroke volume estimated by the physiological evaluation determination unit are converted into isochronous data to calculate the phase of the fluctuation related to respiration, and the calculated phase amount is set as time. A phase-time conversion means for converting the phase-
Since the evaluation target section of the stroke volume converted into equal time interval data by the advance or delay time calculated by the time conversion means is shifted to perform the physiological evaluation, the measured stroke volume is measured. The correlation between the estimated stroke volume and the respiratory frequency is obtained for each subject in advance, and the timing of the estimated stroke volume value is determined by the respiratory frequency. There is an effect that a high estimation can be performed.

According to the invention of claim 11, in the correlation research system according to any one of claims 1 to 4, the data collection control unit collects the subjective frequency for each subjective quantity collection mode, the collection frequency, the collection interval, and the collection. It has the function of holding the history of modes, etc., and every time the subjective quantity collection signal is sent from the physiological quantity evaluation and determination section, the history about the subjective quantity collection is used to collect the previous collection mode, and the time elapsed since the previous collection. Since the number of executions of each collection mode is calculated and whether the subjective amount collection is performed or not is determined in consideration of the calculation result, the subjective amount collection is performed for each subjective amount collection mode when the subjective amount collection is determined. Whether to collect the subjective amount by keeping a history of the collection frequency, collection interval, collection mode, etc., calculating the previous collection mode, the time elapsed since the collection, the number of times each collection mode was executed, etc. When collecting subjective amount data, it is possible to collect efficient data such as collecting the required amount of subjective amount data evenly for each collection mode so that the collection is not biased to a specific collection mode. By adjusting, it is possible to avoid frequent input of the subjective amount, and it is possible to reduce the burden on the person to be measured.

According to the twelfth aspect of the present invention, in the correlation research system according to any of the first to fourth aspects, prior to the data collection, the subjective quantity data collecting unit asks the person to be measured a question item together with a scale diagram. Present multiple items and let them answer the range,
It has a subjective amount standard value calculating means for calculating the value corresponding to each range as a standard value, and at the time of data collection, a subjective amount collection signal is sent from the data collection control unit to the subjective amount data collecting unit, and the subjective amount data is input. Since it was made to evaluate the subjective amount using the standard value each time, prior to collecting the subjective amount data, the person to be measured is presented with a plurality of question items together with a scale in advance, and the range is answered. A standard value is calculated for the value corresponding to, and the subjective value evaluation is performed using this standard value during data collection, so the subjective amount evaluation using the fuzzy series category method can be performed, and the subjective evaluation of the subject can be performed. This has the effect of obtaining a subjective evaluation value that takes into account ambiguity and individual differences.

According to the thirteenth aspect of the present invention, in the correlation research system according to any one of the first to fourth aspects, the subjective amount data collecting section has a voice data input means, a voice data registration means, and a voice data recognition means. However, a plurality of types of voice data of the person to be measured are registered prior to the data collection, and at the time of data collection, a subjective amount collection control signal is sent from the data collection control unit to the subjective amount data collection unit, and the person to be measured inputs the voice data. By inputting the subjective amount by voice by means of the means, comparing and collating the registered voice data with the input voice data, and giving an evaluation value when it corresponds to the registered data Since data can be input, a plurality of types of voice data of the person to be measured are registered in advance before collecting the subjective amount data, and the person to be measured is recorded by voice when collecting the data. Since the subjective rating data input, the audio data can be performed subjective rating assessment using, the person to be measured, can be performed subjective assessment lower burden than can subjective assessment without interruption. In addition, when registering voice data in advance, by presenting a task (mental calculation, music presentation, etc.) that induces tension or a relaxed state together with question items,
There is an effect that evaluation can be performed by changing the tone when the person is nervous or relaxed. Taking into account that breathing changes due to different postures such as sitting, standing, and lying down, the subject is instructed to take several postures, and the posture detection sensor detects the posture of the person being measured. , A relational expression according to the posture of the individual is determined in advance. By adding the relational expression to the estimation means of the respiratory change amount curve and detecting the posture during measurement, when the posture change occurs, by changing the estimation means according to the posture, This has the effect of allowing ventilation volume estimation that is not affected by posture.

[Brief description of drawings]

FIG. 1 is a block diagram showing a correlation investigation system according to an embodiment of the present invention.

FIG. 2 is a block diagram showing a correlation investigation system according to an embodiment of the present invention.

FIG. 3 is a block diagram showing a correlation investigation system according to an embodiment of the present invention.

FIG. 4 is a block diagram showing a correlation investigation system according to an embodiment of the present invention.

FIG. 5 is a block diagram showing an embodiment of a respiration estimation unit mounted in the correlation research system according to claim 5;

FIG. 6 is a breathing sensor wearing vest according to claim 6.

FIG. 7 is the posture detection sensor according to claim 7.

FIG. 8 is a block diagram showing an embodiment of a breathing estimation unit mounted in the correlation research system according to claim 5;

FIG. 9 is a block diagram showing an embodiment of a respiratory estimation unit mounted in the correlation research system according to claim 5;

FIG. 10 is a configuration diagram showing extraction of physiological indexes according to an embodiment of the present invention.

FIG. 11 is a block diagram showing an embodiment of the invention described in claim 9;

FIG. 12 is a flowchart showing a stroke volume estimation method according to an embodiment of the present invention.

FIG. 13 is a configuration diagram showing subjectivity amount data collection according to an embodiment of the invention as set forth in claim 11;

FIG. 14 is a configuration diagram showing subjectivity amount data collection according to an embodiment of the invention described in claim 12;

FIG. 15 is a configuration diagram showing subjective amount data collection according to an embodiment of the invention described in claim 13.

FIG. 16 is a block diagram showing a correlation data collection system according to the prior art.

[Explanation of Codes] 20 physiological reaction measurement processing unit, 21 physiological index extraction unit, 2
2 physiological amount evaluation determination unit, 23 pattern determination reference updating unit, 24 data collection control unit, 25 subjective amount data collection unit, 26 environmental parameter collection unit, 27 action amount data collection unit, 28 data recording unit, 29 offline analysis unit, 30 subjective amount collection request signal, 40 action amount analysis unit,
50 environment parameter analysis unit, 61 respiratory data detection unit, 62 respiratory change amount curve estimation function calculation unit, 63 respiratory change amount curve estimation function calculation unit, 64 tidal volume calculation unit,
71 breathing sensor wearing vest, 81 posture detection sensor, 91 posture detection unit, 92 posture determination unit, 93 posture determination function calculation unit, 94 posture-dependent respiratory change amount curve estimation function calculation unit, 101 breathing method-specific breathing data detection unit, 102 Respiration change amount curve estimation function calculation unit, 103 Respiration change amount curve estimation function calculation unit for each breathing method, 110 Feature amount extraction unit, 1
11 Relational Expression Calculation Unit, 112 Relational Expression Storage Unit, 113
Estimated value calculation unit, 121 First measuring means, 122 First analyzing means, 123 Second measuring means, 124 Detecting means, 12
5 2nd analysis means, 126 3rd analysis means, 127 frequency characteristic data, 128 evaluation means, 131 blood pressure waveform sample part, 132 diastolic blood pressure time point detection part, 133
Inflection point time detection unit, 134 Area value calculation unit, 135 Stroke volume calculation unit, 136 Time characteristic correction unit, 137 Time correction data, 140 Subjective amount collection history storage unit, 14
DESCRIPTION OF SYMBOLS 1 Subjective amount collection history calculation unit, 142 Subjective amount collection determination unit, 150 Subjective amount input unit, 151 Subjective amount scale value calculation unit, 152 Subjective amount scale value registration unit, 160 Voice data input unit, 161 Voice data evaluation unit, 162 Voice data registration unit.

Continuation of front page (51) Int.Cl. ⁶ Identification number Office reference number FI Technical display location G06F 17/15 7638-2J A61B 5/10 300D 19/00 G06F 15/336 15/42 Z (72) Inventor Mamiko Toda 1-1-1, Tsukaguchihonmachi, Amagasaki-shi Central Research Laboratory, Mitsubishi Electric Corporation

Claims (13)

[Claims] 1. A physiological reaction measurement processing unit that measures and processes a physiological response of a measurement subject in a non-invasive and non-constrained manner, and a physiological index extraction unit that extracts a physiological index from each measured physiological reaction. Calculates the physiological amount from the physiological index, determines the physiological amount pattern using the criteria for the physiological amount set prior to the data collection, and displays the result, and the data corresponding to the physiological amount pattern is determined. A data collection control unit that performs data collection control based on a subjective amount collection mode set prior to collection, and a subjective amount data collection unit that is controlled by a control signal from the data collection control unit and collects the subjective amount of the person to be measured. , A judgment criterion updating unit for reflecting the physiological quantity evaluation result in the physiological quantity pattern judgment criterion each time a control signal is output by the data collection control unit, and the activity amount and work content of the measurement subject. The activity amount data collection unit to collect, the environment parameter collection unit for collecting data on the environment in which the person to be measured is placed, the data recording unit that saves the collected data and the processing result described above, and the data recording unit. A correlation research system comprising an offline data analysis unit that performs correlation analysis of physiological amount, subjective amount, action amount, and environmental parameter using recorded data. 2. The correlation survey system according to claim 1, wherein the subject itself sends a subjective amount input request signal to the data collection control unit when the subject feels some subjective state or change. By enabling the input of the subjective quantity to the collection unit, the physiological quantity set at the subjective quantity collection mode corresponding to the inputted subjective quantity data of the physiological quantity pattern at the time when the measurement subject requests input If it is not included in the pattern, by providing the criterion updating unit with a function of generating or changing and registering a new physiological pattern criterion, it is possible to perform evaluation using the physiological pattern criterion for each subject. Correlation survey system characterized by. 3. The correlation investigation system according to claim 1, wherein an activity amount for detecting a specific work content from the activity amount data collected by the activity amount data collection unit and sending a subjective amount collection signal to the data collection control unit. Having a data analysis unit, when a specific work content set prior to data collection is detected, a subjective amount collection control signal is sent to the data collection control unit, and the subjective amount data collection unit collects subjective amount data, To record at least one of the physiological index extracted by the physiological index extraction unit and the physiological amount obtained by the physiological amount evaluation and determination unit in the data recording unit, and analyze the correlation between the specific work content and the physiological amount / subjective amount. Correlation survey system characterized by. 4. The correlation research system according to claim 1, further comprising an environment change detection unit that analyzes the environment parameters collected by the environment parameter collection unit to detect a change in the environment parameters and sends a signal to the data collection control unit. , Collecting subjective amount data in the subjective amount data collecting unit, and recording in the data recording unit at least one of the physiological index extracted by the physiological index extracting unit or the physiological amount obtained by the physiological amount evaluation determining unit,
A correlation research system that analyzes the correlation between environmental changes and physiological / subjective quantities. 5. The correlation survey system according to any one of claims 1 to 4, wherein a body circumference change detection sensor to be worn by the person to be measured is provided in the same person at all times in a fixed position. Furthermore, by having a ventilation volume measuring means in the physiological response measurement processing unit, multiple ventilation length waveforms and changes in the peripheral length associated with breathing of the chest and abdomen of the torso are measured prior to data collection, and the respiratory length changes appear. By calculating the relational expression for the change in the perimeter and the ventilation volume that obtains a reproducible relational expression between the waveform for the change in the perimeter and the waveform for the ventilation volume that considers the time difference of the effect of Calculate the estimated ventilation volume waveform from the plurality of perimeter change waveforms and the relational expression in the physiological index extraction unit,
A correlation research system characterized by obtaining an index value related to ventilation and reflecting it in physiological evaluation. 6. The correlation survey system according to claim 5, wherein in order to consider the influence of the posture of the person to be measured on the change in the measured peripheral length, the physiological reaction measurement processing section has posture measuring means, and a plurality of posture measuring means are provided. For each posture, a relational expression for the change in perimeter and ventilation is calculated prior to data collection, and one relational expression corresponding to the posture required by the physiological response measurement processing unit is selected at the physiological index extraction unit during data collection. A correlation research system characterized in that the estimated ventilation volume waveform is calculated, the index value related to the ventilation volume is obtained, and the index value related to the ventilation volume is used for physiological quantity evaluation. 7. The correlation research system according to claim 5, wherein in order to consider the effect of the breathing style of the subject on the measured change in the peripheral length, the breathing style is determined from the plurality of measured changes in the peripheral length. The physiological index extraction unit has a respiratory mode determination unit for determining, and a relational expression is calculated for each respiratory mode determined by the respiratory mode determination unit by the peripheral length change versus ventilation volume relational expression calculation unit prior to data collection. From the plurality of changes in the perimeter measured by the physiological response measurement processing unit, the respiratory mode determination unit determines the respiratory mode, and the physiological index extraction unit selects one relational expression corresponding to the respiratory mode to obtain the estimated ventilation volume waveform. A correlation research system, which calculates and obtains an index value related to ventilation volume and uses the index value related to ventilation volume for physiological quantity evaluation. 8. The correlation investigation system according to claim 1, wherein the physiological response measurement processing section has blood pressure measuring means and pulse wave measuring means, and simultaneously measures blood pressure and pulse wave prior to data collection. Then, the physiological index extraction unit is provided with a pulse wave-to-blood pressure relational expression calculation unit that extracts a blood pressure and a pulse wave characteristic amount, and obtains a relational expression between the extracted pulse wave and the blood pressure characteristic amount. A correlation investigation system characterized by estimating a characteristic amount of blood pressure from a characteristic amount of a pulse wave and the relational expression and using it for physiological amount evaluation. 9. The correlation investigation system according to claim 1, further comprising means for measuring at least one type of periodic wave related to respiratory-related fluctuations and cardiac contractile activity in the physiological response measuring unit. Provided, the physiological reaction processing unit as a physiological index to detect the magnitude and frequency of the main periodic component of the respiratory-related fluctuation waveform, a specific wave that appears periodically in the cardiac contraction activity-related periodic wave, its peak value, amplitude,
A means for determining a characteristic amount such as an occurrence interval as a physiological index is provided, and the physiological series evaluation determination unit analyzes the time series of the physiological index to obtain the magnitude of the respiratory fluctuation component and stores it prior to data collection. Frequency characteristic data of respiratory variation component,
And a means for evaluating the activity state of the autonomic nervous system using the respiration magnitude and frequency obtained by the physiological reaction processing unit. 10. The correlation survey system according to claim 1, further comprising: a stroke volume estimating means for estimating a stroke volume from the blood pressure waveform measured by the physiological index extracting section; A phase that converts the change in stroke volume estimated by the volume evaluation determination unit into equal time interval data and calculates the phase with fluctuations related to respiration, and converts the calculated phase amount into time
A time conversion means is provided, and the physiological value evaluation is performed by shifting the evaluation target section of the stroke volume converted into the equal time interval data by the lead or delay time calculated by the phase-time conversion means. Correlation survey system featuring. 11. The correlation investigation system according to claim 1, wherein the data collection control unit holds a history of collection frequency, collection interval, collection mode, etc. regarding the collection of subjective quantities for each subjective quantity collection mode. It has a function and every time the subjective quantity collection signal is sent from the physiological quantity evaluation and determination section,
The previous collection mode using the history related to the collection of the subjective amount,
A correlation research system, characterized in that the time elapsed since the previous collection, the number of executions of each collection mode, and the like are calculated, and whether or not subjective amount collection is performed is determined in consideration of the calculation result. 12. The correlation survey system according to claim 1, wherein a plurality of question items are presented to the person to be measured together with a scale diagram in the subjective amount data collection unit prior to data collection, and the range is answered. And has a subjective amount standard value calculating means for calculating a value corresponding to each range as a standard value,
At the time of data collection, a correlation collection system characterized in that a subjective quantity collection signal is sent from the data collection control section to the subjective quantity data collection section, and the subjective quantity is evaluated using the standard value every time the subjective quantity data is input. . 13. The correlation investigating system according to claim 1, wherein the subjective quantity data collecting section has a voice data input means, a voice data registering means, and a voice data recognizing means, and the subject data is collected prior to the data collection. A plurality of types of voice data of the measurer are registered, and at the time of data collection, a subjective amount collection control signal is sent from the data collection control unit to the subjective amount data collection unit, and the subject measures the subjective amount by the voice data input means. It is characterized in that the person to be measured can input subjective amount data by voice, for example, by giving a rating value when the registered voice data and the input voice data are compared and collated and correspond to the registered data. And correlation research system.