JP2010201185A - Health-state determining method and health state determining device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a health-state determining method by which biological signals required to determine the health state of an examinee can quickly be collected and also an accurate determination result can quickly be obtained, while providing a health-state determining device for achieving maintenance and improvement of human health and furthermore for determining the health state. <P>SOLUTION: By giving an external stimulation to the examinee performing an exercise, the health state is determined from a change in the biological signal of the examinee by the external stimulation and the age of the examinee. The health state determining device comprises an exercise equipment part, a stimulation means for giving the external stimulation to the examinee, a measuring means for measuring the change in the biological signal of the examinee by the external stimulation, an input means for inputting the age of the examinee, and a determining means for determining the health state of the examinee from the change in the biological signal. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

    The present invention relates to a method and an apparatus for determining the health condition of a subject.

  Diagnose human health by measuring and analyzing biological signals such as pulse, blood pressure, body temperature, blood glucose level, breathing, myoelectricity, electrocardiogram, blood flow, brain waves, sweating, acceleration, vibration, and slope. Various attempts have been made in the past. For example, in Japanese Patent Application Laid-Open No. 6-217951, an attractor is generated from a measured pulse wave, and a plurality of attractor patterns stored in a memory are compared with the attractor. An invention for judging health status is disclosed. Japanese Patent Publication No. 6-9546 discloses an invention that creates a chaotic attractor from time-series data of pulse waves and / or cardiac radio waves, further calculates the Lyapunov exponent by performing arithmetic processing on the chaotic attractor, and diagnoses an abnormality of the mind and body. Is disclosed. Japanese Patent Application Laid-Open No. 2000-166877 discloses an invention that analyzes biological rhythm information to discriminate deterioration of physiological function and aging at an early stage.

JP-A-6-217951 Japanese Patent Publication No. 6-9546 JP 2000-166877 A

    According to these disclosed invention judging methods, it is speculated that a judgment result that is effective to some extent will be obtained. However, since it takes a long time to collect biological signals necessary for the judgment, a quick judgment cannot be made. There was a problem.

  In addition, the conventional exercise equipment that has been widely used is intended to maintain the health of the person by exercising walking, cycling, etc., to solve the lack of human exercise, and to judge the health condition of the person. It was not a thing.

  The present invention has been made in view of such conventional problems, and is capable of quickly collecting biological signals necessary for determining the health condition of a subject, and at the same time, obtaining a highly accurate judgment result quickly. Its purpose is to provide a method.

In addition, the present invention provides a health condition determination apparatus that can quickly collect biological signals necessary for determining the health condition of a subject and at the same time quickly obtain accurate determination results.
In addition, the present invention provides a health condition determination apparatus that can maintain and improve human health and can determine the health condition.

  According to the present invention, an external stimulus is given to a subject in an exercise state, and the health condition of the subject is determined from the change in the biological signal of the subject before and after the external stimulus and the age of the subject. A health condition determination method characterized by the above is provided.

  Here, from the viewpoint of increasing the accuracy of the determination, it is desirable to determine the health state by analyzing changes in the biological signal using chaos analysis.

  For example, the chaotic attractor analysis is used as the chaos analysis to determine the orbital period of the chaotic attractor, the fluctuation of the orbital period is analyzed by detrended fluctuation analysis (DFA), and the magnitude of the fluctuation is plotted on the vertical axis and window size. The amount of fluctuation for each window size is plotted on the horizontal axis, the amount of change in inclination before and after applying external stimuli is calculated, and the state of health using the amount of change in inclination and age investigated in advance as variables Health status can be judged from the category.

  From the viewpoint of reducing the exercise burden applied to the subject at the time of determination, the exercise is preferably a walking exercise. In this case, the external stimulus is at least one of walking on a hill, walking on stairs, walking speed change, audio stimulation, and video stimulation. There should be.

  In addition, it is desirable to give an external stimulus to a subject who is exercising using an exercise device because it can be easily performed without considering the place or the weather. Furthermore, from the viewpoint of reducing the exercise load applied to the subject at the time of diagnosis, the exercise apparatus is preferably a walking exercise apparatus. In this case, an external stimulus may be applied by changing the walking speed or the walking surface inclination angle.

  As another method for applying an external stimulus to the subject, an exercise device may be further provided with an image device, and an external stimulus may be provided by an image from the image device, or the exercise device may be further provided with an audio output device. You may make it give an external stimulus with the sound from an output device.

  From the viewpoint of reducing the weight burden when the subject carries and the convenience, it is recommended that the biological signal of the subject be measured by at least one of an acceleration sensor and a vibration sensor.

  Further, according to the present invention, means for measuring a change in a biological signal of the subject before and after an external stimulus given to the subject in motion, an input means for inputting the age of the subject, and the biological There is provided a health condition judging device comprising judgment means for judging a health condition of a subject from a change in signal and the age of the subject. Here, a stimulating unit for performing the external stimulation or an exercise apparatus including the stimulating unit may be provided. The external stimulus may be at least one of an audio stimulus, a video stimulus, and a load.

  In the health condition determination method of the present invention, an external stimulus is given to the subject who is exercising, and the health condition is determined from the change in the biological signal of the subject due to the external stimulus and the age of the subject. Judgment can be made with high accuracy in a much shorter time than the method.

Further, in the health condition determination apparatus of the present invention, means for measuring a change in the biological signal of the subject before and after the external stimulus given to the subject in motion, and input means for inputting the age of the subject Since the health condition of the subject is determined from the change in the biological signal and the age of the subject, the determination can be made with a much shorter time than in the conventional determination method.
Further, in the health condition judging apparatus of the present invention, the health condition can be effectively and effectively maintained and promoted by judging the own health condition before starting the exercise and setting the exercise program for the day based on the judgment result.

It is a block diagram which shows the structural example of the health condition determination method of this invention. It is a figure which shows an example which drew the chaos attractor in two-dimensional number space. It is a figure which shows the change of an attractor orbital period. It is acceleration data in flat walking before and after walking on a hill. It is a DFA result calculated | required from the acceleration data of FIG. It is a figure which shows the relationship between the variation | change_quantity of the inclination of FIG. 6, and age. It is a waveform of the vibration sensor at the time of flat walking. It is an outline figure showing an example of a health condition judging device of the present invention. It is the analysis result using DFA of the acceleration data in Example 1. It is the analysis result using DFA of the acceleration data in Example 2.

  As a result of intensive studies on how to quickly collect biological signals necessary to determine the health condition of the subject, the inventors have given an external stimulus when the subject is exercising, The biological signal changed corresponding to the health condition of the subject, and the change was related to age, and the present invention was made.

  That is, in the health condition determination method of the present invention, an external stimulus is given to a subject who is exercising to measure how the subject's biological signal changes, and from the change in the biological signal and the age of the subject Determine your health status. According to such a determination method, since a biological signal that changes by applying an external stimulus is only measured, the determination is completed in a measurement time of only a few minutes. Compared with a conventional determination method in which a biological signal measurement device is carried by a subject for a long period of time and a health condition is determined from the obtained information, the measurement time of the determination method of the present invention is much shorter.

  The exercise performed by the subject need not be radical, and may be a light exercise such as a walk, jogging, or climbing up and down the stairs. An example of a specific configuration of the health condition determination method of the present invention is shown in FIG. The biological signal of the subject in motion is measured by the measuring means 1. Then, the external stimulus 3 is given to the subject, the measurement means 1 measures how the subject's biological signal changes due to the external stimulus 3, and the measurement data is sent to the data processing / analysis means 2. On the other hand, the age of the subject is input from the input unit 4, and the input age is sent to the data processing / analysis unit 2. Then, the data processing / analysis means 2 determines the health condition of the subject.

  The external stimulus given to the subject is not particularly limited and may be any stimulus, but when the exercise to be performed by the subject is a walking exercise, walking on a hill, walking on stairs, changing walking speed, It may be at least one of audio stimulation and video stimulation. In the case of using a walking exercise apparatus, a change in walking speed, walking surface inclination angle, etc., voice stimulation, video stimulation, or the like is preferable.

  The biological signal to be measured in the present invention is not particularly limited as long as it is related to the health condition of the subject. For example, the subject's vibration and acceleration, electrocardiogram, blood pressure, body temperature, pulse, myoelectricity, sweating amount, slope, etc. These may be mentioned, and one or two or more of these may be measured in combination. For measurement of these biological signals, vibration sensors, acceleration sensors, electrocardiogram sensors, blood pressure sensors, body temperature sensors, pulse sensors, myoelectric sensors, sweat sensors, tilt sensors, etc. can be used. It is desirable to use a vibration sensor or an acceleration sensor because of its small size and small size. In addition, what is necessary is just to determine suitably the mounting | wearing place of these measuring devices from the exercise | movement which a subject performs, the kind of exercise equipment, the kind of biological signal to measure.

  The determination of the health condition of the subject in the present invention can be performed from a change in the biological signal of the subject immediately after applying the external stimulus, or after applying the external stimulus, the state is returned to the original state, and the external stimulus is applied. It can also be performed from the change in the biological signal of the subject before and after the application.

  Here, since a signal related to a living body such as an action is generally non-linear data, it is preferable to use a non-linear analysis method as an analysis method, and among them, a chaotic analysis widely used as a non-linear data analysis method can be most suitably used. . This chaos analysis includes various analysis methods such as fractal dimension analysis, Lyapunov exponent analysis, and chaos attractor analysis, and chaotic attractor analysis is suitable as an analysis method for biological signals. Specifically, a chaotic attractor is drawn in a desired number of spaces based on the obtained biological signal, and the health condition of the subject is determined from the drawn chaotic attractor shape.

  On the other hand, there is a case where the difference is not clearly understood only from the shape of the chaotic attractor. In such a case, the orbital period of the chaotic attractor may be further measured, and the health condition may be analyzed from the fluctuation of the orbital period. For example, polar coordinate conversion is performed using a specific point in several spaces as an origin to obtain an angular period, and this angular period is set as an orbital period. Then, the health condition of the subject is judged from the characteristics of the fluctuation of the orbital period. Explaining with reference to FIG. 2, the horizontal line S is drawn in the right direction from the point O of the chaotic attractor, and the time required for the attractor trajectory to rotate 360 ° counterclockwise and return to the reference line with the horizontal line S as the reference line. And this time may be taken as the orbital period. Of course, the orbital period may be a part of the attractor orbit. In this case, a reference rotation angle is determined, and the time required for the attractor orbit to move this angle may be measured. As the origin of the polar coordinate conversion, it is preferable to use the average coordinate point of the chaotic attractor component because it can be easily calculated. Depending on the shape of the attractor trajectory, the calculated average value coordinate point may be within the attractor trajectory. In such a case, if a point outside the attractor trajectory near the average value coordinate point is used as the origin of the polar coordinate conversion. Good.

  FIG. 3 shows an example of the result of measuring the orbital period of the chaotic attractor after drawing the chaotic attractor in the two-dimensional number space from the acceleration data of the walking by the subject and then performing polar coordinate conversion. FIG. 3A shows the attractor trajectory period when healthy, and FIG. 3B shows the attractor trajectory period when physical condition is poor. Comparing the fluctuations in the orbital period of both attractors, the difference in walking data due to the difference in physical condition can be found.

  In order to analyze the fluctuation of the attractor orbital period in more detail, it is only necessary to use a well-known analysis method such as detrended fluctuation analysis (DFA), frequency conversion such as Fourier transform, wavelet analysis, multifractal analysis, etc. Of these, DFA can be particularly preferably used because it can objectively and accurately analyze even a large fluctuation.

  The outline of the DFA analysis method is as follows. First, the fluctuation system is divided by a predetermined window size, and the waveform is linearly approximated for each window size. Then, the absolute value of the deviation is integrated from the linear approximation, and this integrated value is set as the magnitude of fluctuation. Plotting the magnitude of fluctuation with the vertical axis and the window size with the horizontal axis, plotting the magnitude of fluctuation with respect to each window size, and using the slope and y-intercept as indicators for state determination / prediction.

  According to the experiments by the present inventors, the amount of change in the inclination of the fluctuation of the walking acceleration data before and after climbing the hill when the subject is made to walk flat-walking-flat walking is closely related to the health condition of the subject at that time. Was found to be related to The acceleration waveforms before and after climbing the hill are shown in FIGS. 4A and 4B, and the fluctuation of the walking interval obtained from these acceleration waveforms using DFA is shown in FIG. Then, the same experiment was conducted for a plurality of subjects with different ages, the amount of change in slope of the two straight lines in FIG. 5 was calculated, and the amount of change in slope was plotted on the vertical axis and plotted on the horizontal axis. It is shown in FIG. Here, the subject's physical condition at the time of the experiment was also investigated, the data of the subject who declared that he was in good condition was `` ◎ '', the data of the subject who was declared normal was `` ○ '', and the subject who reported that his physical condition was bad The data of “×” is displayed. As can be understood from FIG. 6, the health state regions of good, normal, and poor can be classified on the drawing. Therefore, if the amount of change in the inclination of the fluctuation is calculated from the measurement result of the biological signal such as walking acceleration, the health state at that time can be determined from the amount of change in inclination and the age in FIG.

  For example, in FIG. 6, if the person is 29 years of age, the calculated change in inclination is “bad” if it is less than zero, “normal” if it is zero to 0.1, and “0.1” if it is 0.1 or more. It can be judged that “physical condition is good”.

  The same result can be obtained even if the type of external stimulus is changed from walking on a hill to walking on a staircase. The same result can be obtained even if the detection means is changed from the acceleration sensor to the vibration sensor. An example of a vibration waveform detected by the vibration sensor is shown in FIG.

  In addition, if the subject exercises using an exercise device, the biological signal can be measured more easily. Such exercise equipment is not particularly limited, and a conventionally known exercise equipment can be used, such as a walking exercise equipment (treadmill), a bicycle exercise equipment (aero bike), a stair climbing exercise equipment (aero climb), and the like. Exercise equipment. Among these, it is recommended to use walking exercise equipment from the viewpoints of exercise burden and convenience for the subject.

  There is no particular limitation on the external stimulus to be given to the subject when using the exercise equipment, and for example, stimulation by changing conditions of the exercise equipment, stimulation by video, stimulation by voice, and the like can be considered. As a stimulus due to a change in the condition of the exercise equipment, taking a walking exercise equipment as an example of the exercise equipment, a stimulus for increasing or decreasing the walking speed, or a steep or gentle walking surface inclination angle. Irritation.

  Further, the stimulus by the image is a stimulus given through the visual sense of the subject by arranging an image device around the exercise equipment. For example, for a subject walking on a walking exercise equipment, a video of walking the sidewalk is projected on a screen provided on the front side of the walking exercise equipment or a display attached to the head, and the subject is walking on the sidewalk The image of the car suddenly popping out from the side is projected and the change in the biological signal of the subject at this time is measured.

  The voice stimulus is a stimulus given through the auditory sense of the subject by arranging a voice output device around the exercise equipment. For example, for a subject walking on a walking exercise apparatus given a certain rhythm with an earphone, measure a change in the biological signal of the subject by suddenly flowing an unpleasant sound such as a loud sound from the earphone, or a march After listening to rhythmic music for a few minutes, the change in the subject's biological signal is measured.

  Next, the health condition determination apparatus of the present invention will be described. The diagnostic apparatus includes an exercise device unit, a stimulation unit that gives an external stimulus to the subject, a measurement unit that measures a change in the biological signal of the subject due to the external stimulus, an input unit that inputs the age of the subject, and a change in the biological signal And determining means for determining the health condition of the subject.

  As the exercise equipment, the above-exemplified exercise equipment can also be used here. Examples of the stimulating means include the condition controller of the exemplified exercise equipment, a video device, and an audio output device. Further, examples of the measuring means include the exemplified vibration sensor, acceleration sensor, electrocardiographic sensor, blood pressure sensor, and body temperature. Conventionally known measuring instruments such as sensors, pulse sensors, myoelectric sensors, sweating sensors, and inclination sensors can be used. A conventionally well-known thing can be used as an input means, for example, the thing provided with the number key can be illustrated. As the determination means, the chaos analysis described above and further the chaos attractor analysis can be used.

  This health condition judging device can not only play a role as a normal exercise equipment by the exercise equipment unit, but can also judge the health condition of the subject by the judging means or the like. Therefore, this judging apparatus can also be used in such a way that the health condition of the subject is judged at the start of exercise, and the exercise program for the day is determined based on the judgment result.

  One embodiment of the health condition judging apparatus of the present invention is shown in FIG. FIG. 8 is a schematic diagram of the determination device. This health condition determination apparatus includes a walking exercise apparatus (exercise apparatus section) 6, a screen (stimulation means) 7 disposed on the front side of the walking exercise apparatus 6, an acceleration sensor (measurement means) 8 carried by the subject, an age Input means 5 and determination means 9 are provided. The subject carrying the acceleration sensor 8 inputs the age from the input means 5. Then, the user walks on the walking belt 61 of the walking exercise device 6 while viewing the screen displayed on the front screen 7. The screen initially displays the town and natural scenery as you take a walk. A picture of a car or dog suddenly jumping out from the side is projected there. The acceleration disturbance of the subject at this time is measured by the acceleration sensor 8, and the measurement data is transmitted to the determination means 9. The determination unit 9 includes a data processing / analysis unit 91, a health state determination unit 92, and an output unit 93, and determines the health state of the subject based on the transmitted measurement data. Since the determination method is the same as described above, the description is omitted here.

In FIG. 8, the external stimulus is given to the subject by the image projected on the screen 7, but the subject may be given an external stimulus by changing the walking speed and the inclination angle of the walking belt 61 of the walking exercise device 6. Of course, an external stimulus may be applied in combination.

Example 1
Have the subject carrying the acceleration sensor walk on the treadmill walking belt. The speed of the walking belt was increased from 4 km / h to 6 km / h and allowed to walk for 10 minutes, and then returned to the original speed to measure the acceleration before and after increasing the speed of the walking belt. The measured acceleration data was analyzed using DFA. The results are shown in FIG. In FIG. 9, after the speed of the walking belt is increased, the fluctuation is larger than before the speed is increased. This increase in fluctuation is considered to be related to the fatigue level of the subject. The greater the fatigue level, the greater the increase in fluctuation after walking at high speed. The physical condition and the fatigue level are also closely related, and the better the physical condition, the smaller the fatigue level. Therefore, the degree of fatigue, that is, the increase in fluctuation after high-speed walking can be used as an indicator of health, and the smaller the increase in fluctuation, the better the physical condition.

Example 2
The subject carrying the acceleration sensor was allowed to walk on the treadmill walking belt (4.0 km / h), and the subject was also allowed to wear earphones. Rhythmic music (march) was played from the earphones for 5 minutes, and the change in acceleration before and after listening to the music was measured. The measured acceleration data was analyzed using DFA. The results are shown in FIG. In FIG. 10, the inclination of fluctuation is smaller after listening to music than before listening. The inclination of the fluctuation is considered to be related to the regularity of the walking rhythm, and the inclination of the fluctuation becomes smaller as the walking rhythm becomes more regular. There is also a close relationship between physical condition and adaptability to music rhythm. Generally, the better the physical condition, the easier it is to adapt to the rhythm of music. Accordingly, the adaptability to the rhythm of music, that is, the change in inclination of the fluctuation (decreasing direction) can be used as an index of health, and the physical condition can be judged to be better as the change in inclination of the fluctuation (decreasing direction) is larger.

DESCRIPTION OF SYMBOLS 1 Measuring means 2 Data processing and analysis means 3 External stimulus 4 Input means 5 Input device (input means)
6 walking exercise equipment (exercise equipment section)
7 screen (stimulation means)
8 Acceleration sensor (measuring means)
9 Judging means 61 Walking belt 91 Data processing / analysis means 92 Health condition judging means 93 Output means

Claims (2)

  A health condition characterized by applying an external stimulus to a subject in a state of exercising and judging the health status of the subject from a change in the biological signal of the subject before and after the external stimulus and the age of the subject Judgment method.   A means for measuring a change in the biological signal of the subject before and after an external stimulus given to the subject in motion; an input means for inputting the age of the subject; a change in the biological signal; A health condition judging device comprising judgment means for judging the health condition of a subject from age.

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