Measurement device

Abstract

To allow easy determination which kind of exercise a person should take.SOLUTION: A measurement device 10 comprises a measurement part 120 and a selection part 140. The measurement part 120 measures at least one of sugar density and lipid density in a body fluid (blood, for example) of a person who takes exercise. The selection part 140 selects any one of first exercise and second exercise on the basis of the measurement result of the measurement part 120, and then outputs the selection result. At this time, the first exercise is for example, anaerobic exercise, and the second exercise is aerobic exercise. The output information may be an embodiment of the anaerobic exercise or an embodiment of the aerobic exercise. The measurement device 10 may be, for example, a portable device or an installation type device.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a measurement device. [Background technology]

[0002] In recent years, interest in health has increased, and various devices and systems have been developed to support users in maintaining their health.

[0003] For example, Patent Document 1 describes a technique for determining whether an athlete's exercise state is aerobic or anaerobic, using the athlete's pulse wave data, age, and resting heart rate. Patent Document 2 describes a technique for calculating the exercise intensity of an athlete based on the acetone concentration in the athlete's breath. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2002-153430 A [Patent Document 2] JP 2010-268864 A Summary of the Invention [Problem to be solved by the invention]

[0005] The substances consumed during exercise include carbohydrates and lipids, and which of these is consumed is determined by the quality of the exercise (e.g., aerobic exercise or anaerobic exercise). For this reason, it is preferable to differentiate the quality of exercise at the time when carbohydrates should be consumed from the time when lipids should be consumed. However, it is difficult for exercisers to determine what type of exercise they should be doing at the moment.

[0006] One example of a problem to be solved by the present invention is to make it easier for an exerciser to determine what type of exercise he or she should be doing at the moment. [Means for solving the problem]

[0007] The invention described in claim 1 comprises a measurement unit for measuring at least one of a carbohydrate concentration and a lipid concentration in a body fluid, A selection unit that selects one of a first movement and a second movement from the measurement result of the measurement unit and outputs the selection result; The measuring device is provided with: [Brief description of the drawings]

[0008] [Figure 1] 1 is a block diagram showing a functional configuration of a measurement device according to an embodiment. [Diagram 2] FIG. 2 is a diagram showing a first example of a measurement unit. [Diagram 3] FIG. 13 is a diagram showing a second example of the measurement unit. [Figure 4] FIG. 13 is a diagram showing a third example of the measurement unit. [Diagram 5] FIG. 13 is a diagram showing a fourth example of the measurement unit. [Figure 6] FIG. 13 is a diagram illustrating a first example of selection logic in a selection unit. [Figure 7] FIG. 13 is a diagram illustrating a second example of selection logic in a selection unit. [Figure 8] FIG. 13 is a diagram illustrating a third example of selection logic in a selection unit. [Figure 9] FIG. 11 is a diagram showing an example of a display performed by an output unit. [Figure 10] FIG. 2 is a plan view of the measuring device according to the first embodiment. [Figure 11] FIG. 11 is a cross-sectional view showing the configuration of a measurement device according to a second embodiment. [Figure 12] FIG. 11 is a diagram showing a first example of transition of a screen displayed by the measurement device. [Figure 13] FIG. 11 is a diagram showing a second example of a transition of a screen displayed by the measurement device. [Figure 14] FIG. 13 is a diagram showing a third example of transition of a screen displayed by the measurement device. [Figure 15] FIG. 11 is a diagram showing an environment in which a measurement device according to a third embodiment is used. [Figure 16] FIG. 13 is a diagram showing an example of a screen displayed by the measurement device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all the drawings, the same components are given the same reference numerals and the description will be omitted as appropriate.

[0010] In the following description, each component of the measuring device 10 is shown as a functional block, not as a hardware configuration. For example, the measuring unit 120 is composed of a sensor and a processor. The selecting unit 140 and the processor included in the measuring unit 120 are realized by any combination of hardware and software, centered on, for example, the CPU or microcomputer of any computer, memory, a program loaded into the memory, a storage medium such as a hard disk for storing the program, and a network connection interface. There are various variations in the method and device for realizing the above.

[0011] FIG. 1 is a block diagram showing a functional configuration of a measuring device 10 according to an embodiment. The measuring device 10 according to an embodiment includes a measuring unit 120 and a selecting unit 140. The measuring unit 120 measures at least one of a carbohydrate concentration and a lipid concentration in a body fluid (e.g., blood) of an exerciser. The selecting unit 140 selects either a first exercise or a second exercise from the measurement results of the measuring unit 120, and outputs the selection result. Here, the first exercise is, for example, anaerobic exercise, and the second exercise is, for example, aerobic exercise. The output information may be a specific example of anaerobic exercise or a specific example of aerobic exercise. The measuring device 10 is, for example, a portable device, but may also be a stationary device. A detailed description will be given below.

[0012] As described above, the measurement unit 120 measures at least one of the sugar concentration and the lipid concentration, and preferably both, in the body fluid of the exerciser. The measurement unit 120 measures the sugar concentration and the lipid concentration non-invasively. The measurement unit 120 has, for example, a light emitting unit and a light receiving unit. The light receiving unit receives light from the light emitting unit through the body of the exerciser. The measurement unit 120 measures at least one of the sugar concentration and the lipid concentration in the body fluid using the intensity of the light received by the light receiving unit. For example, sugar absorbs light with wavelengths of about 1.6 μm and about 0.8 μm. Furthermore, lipid absorbs light with wavelengths of about 1.2 μm and about 0.6 μm. Therefore, the measurement unit 120 can measure the sugar concentration and the lipid concentration in the body fluid by measuring the amount of light absorbed in these wavelength ranges. The operation timing of the measurement unit 120 is controlled by, for example, the selection unit 140. The detailed configuration of the measurement unit 120 will be described later.

[0013] The selection unit 140 selects either the first exercise or the second exercise based on the measurement result in the measurement unit 120, and outputs the selection result. In the example shown in the figure, the measurement device 10 has an output unit 160. The output unit 160 is, for example, a display or a speaker, and outputs the selection result by the selection unit 140 as text, video, audio, or both. This allows the user of the measurement device 10 to easily determine what kind of exercise they should now be doing.

[0014] FIG. 2 is a diagram showing a first example of the measurement unit 120. In the example shown in this figure, the measurement unit 120 has a light emitting unit 122, a light receiving unit 124, a spectrum analysis unit 126, and a concentration calculation unit 129. The light emitting unit 122 emits light toward the body F of the exerciser. The spectral distribution of this light includes, for example, a range of 1 μm to 2 μm or a range of 0.5 μm to 1 μm, and includes both wavelengths absorbed by lipids and wavelengths absorbed by carbohydrates. The light source of the light emitting unit 122 is, for example, an LED or an organic EL element. The light receiving unit 124 detects light that has passed through the body F or light reflected by the body F out of the light emitted by the light emitting unit 122. The light receiving unit 124 has, for example, a wavelength tunable filter, and can detect the intensity of wideband light, that is, the spectral distribution of light. Then, the spectrum analysis unit 126 detects at least one of the magnitude of the absorption spectrum caused by carbohydrates and the magnitude of the absorption spectrum caused by lipids from the spectral distribution detected by the light receiving unit 124. The concentration calculation unit 129 then calculates at least one of the lipid concentration and the carbohydrate concentration from the magnitude of these absorption spectra.

[0015] FIG. 3 is a diagram showing a second example of the measurement unit 120. In the example shown in this figure, the measurement unit 120 has a light emitting unit 122, a first wavelength filter 127, a second wavelength filter 128, a first light receiving unit 132, a second light receiving unit 134, and a concentration calculation unit 129. The configurations of the light emitting unit 122 and the concentration calculation unit 129 are the same as those in the example shown in FIG. 2. The first wavelength filter 127 transmits light of a wavelength absorbed by carbohydrates and cuts off light of other wavelengths. The second wavelength filter 128 transmits light of a wavelength absorbed by lipids and cuts off light of other wavelengths. The first light receiving unit 132 detects the intensity of light transmitted through the first wavelength filter 127, and the second light receiving unit 134 detects the intensity of light transmitted through the second wavelength filter 128. The concentration calculation section 129 calculates the sugar concentration in the body fluid based on the detection value of the first light receiving section 132, and calculates the lipid concentration in the body fluid based on the detection value of the second light receiving section .

[0016] The measurement unit 120 may not have the first wavelength filter 127 and the first light receiving unit 132. In this case, the measurement unit 120 calculates only the lipid concentration in the body fluid. The measurement unit 120 may not have the second wavelength filter 128 and the second light receiving unit 134. In this case, the measurement unit 120 calculates only the carbohydrate concentration in the body fluid.

[0017] In addition, the first light receiving unit 132 and the second light receiving unit 134 may be disposed between the body F and the light emitting unit 122, rather than between the body F and the first light receiving unit 132 and the second light receiving unit 134. Furthermore, the first light receiving unit 132 and the second light receiving unit 134 may be provided both between the body F and the first light receiving unit 132 and the second light receiving unit 134, and between the body F and the light emitting unit 122.

[0018] 4 is a diagram showing a third example of the measurement unit 120. The measurement unit 120 shown in this figure has a first light-emitting unit 131, a second light-emitting unit 133, a light-receiving unit 124, and a concentration calculation unit 129. The first light-emitting unit 131 emits light of a wavelength absorbed by carbohydrates, and the second light-emitting unit 133 emits light of a wavelength absorbed by lipids. The first light-emitting unit 131 and the second light-emitting unit 133 may have laser elements as light-emitting elements. The selection unit 140 shifts the emission timing of the first light-emitting unit 131 and the second light-emitting unit 133.

[0019] The concentration calculation unit 129 calculates the sugar concentration in the body fluid using the detection value of the light receiving unit 124 when the first light emitting unit 131 is operating. The concentration calculation unit 129 also calculates the lipid concentration in the body fluid using the detection value of the light receiving unit 124 when the second light emitting unit 133 is operating.

[0020] Here, when the selection unit 140 causes the first light-emitting unit 131 to emit light, it is preferable that the selection unit 140 causes the first light-emitting unit 131 to emit light in a first cycle. When the selection unit 140 causes the second light-emitting unit 133 to emit light, it is preferable that the selection unit 140 causes the second light-emitting unit 133 to emit light in a second cycle different from the first cycle. In this way, the detection value of the light-receiving unit 124 when detecting sugars has a first cycle, and the detection value of the light-receiving unit 124 when detecting lipids has a second cycle. For this reason, if a frequency filter (e.g., a digital filter) that transmits signals of the first cycle and a frequency filter (e.g., a digital filter) that transmits signals of the second cycle are provided in the signal processing circuit of the selection unit 140, and the sugar concentration and the lipid concentration are calculated using the detection values ​​after passing through these filters, the measurement error of the sugar concentration and the lipid concentration can be reduced.

[0021] Furthermore, when only the first light-emitting unit 131 is emitting light, the information received by the light-receiving unit 124 is proportional to the sugar concentration, and then when the first light-emitting unit 131 is turned off and only the second light-emitting unit 133 is emitting light, the information received by the light-receiving unit 124 contains information proportional to the lipid concentration. For this reason, alternately emitting light from the first light-emitting unit 131 and the second light-emitting unit 133 is also an effective method of use.

[0022] Fig. 5 is a diagram showing a fourth example of the measurement unit 120. The measurement unit 120 shown in this figure has the same configuration as the measurement unit 120 shown in Fig. 4, except that it has a first wavelength filter 127 and a second wavelength filter 128. The first wavelength filter 127 is disposed between the first light emitter 131 and the light receiver 124, and the second wavelength filter 128 is disposed between the second light emitter 133 and the light receiver 124. In this way, the accuracy of the detection value of the light receiver 124 is increased, and as a result, the measurement error of the carbohydrate concentration and lipid concentration is reduced.

[0023] Fig. 6 shows a first example of the selection logic in the selection unit 140. In the example shown in this figure, the selection unit 140 selects one of anaerobic exercise and aerobic exercise using only the carbohydrate concentration. Specifically, the selection unit 140 selects anaerobic exercise when the carbohydrate concentration is equal to or greater than a first reference value, and selects aerobic exercise when the carbohydrate concentration is less than the first reference value. This is because anaerobic exercise is suitable for consuming carbohydrates.

[0024] 7 shows a second example of the selection logic in the selection unit 140. In the example shown in this figure, the selection unit 140 selects one of anaerobic exercise and aerobic exercise using only the lipid concentration. Specifically, the selection unit 140 selects aerobic exercise when the lipid concentration is equal to or greater than the second reference value, and selects aerobic exercise when the lipid concentration is less than the second reference value. This is because aerobic exercise is suitable for consuming lipids.

[0025] 8 shows a third example of the selection logic in the selection unit 140. In the example shown in this figure, the selection unit 140 selects one of anaerobic exercise and aerobic exercise using both the carbohydrate concentration and the lipid concentration.

[0026] Specifically, when the carbohydrate concentration is less than a first reference value and the lipid concentration is less than a second reference value, the selection unit 140 outputs a message encouraging the user to stop exercising and eat a meal. When the carbohydrate concentration is equal to or greater than the first reference value and the lipid concentration is less than the second reference value, the selection unit 140 selects anaerobic exercise. When the carbohydrate concentration is less than the first reference value and the lipid concentration is equal to or greater than the second reference value, the selection unit 140 selects aerobic exercise.

[0027] Furthermore, when the carbohydrate concentration is equal to or greater than the first standard value and the lipid concentration is equal to or greater than the second standard value, the selection unit 140 outputs the following. First, when the value of the carbohydrate concentration normalized by the first standard value (first standard value) is greater than the value of the lipid concentration normalized by the second standard value (second standard value), i.e., when the carbohydrate concentration is higher than the lipid concentration, the selection unit 140 selects anaerobic exercise. On the other hand, when the first standard value is equal to or less than the second standard value, i.e., when the lipid concentration is higher than the carbohydrate concentration, the selection unit 140 selects aerobic exercise.

[0028] Each diagram in Fig. 9 shows an example of a display performed by the output unit 160. Fig. 9(a) is an example of a screen recommending aerobic exercise, and Fig. 9(b) is an example of a screen recommending anaerobic exercise. Fig. 9(c) is an example of a screen recommending a diet when both the carbohydrate concentration and the lipid concentration are low (especially when the carbohydrate concentration is low).

[0029] As described above, according to this embodiment, the measurement unit 120 measures at least one of the carbohydrate concentration and lipid concentration in the body fluid. The selection unit 140 selects either the first exercise or the second exercise based on the measurement result in the measurement unit 120, and outputs the selection result. Therefore, the user of the measurement device 10 can easily determine what kind of exercise he or she should currently do.

[0030] Example 1 10 is a plan view of a measuring device 10 according to Example 1. In this example, the measuring device 10 is a mobile phone or a smartphone, and has a housing 150. A display unit as an example of an output unit 160 is provided on the surface of the housing 150.

[0031] Furthermore, a recess 154 is provided on the side of the housing 150. A user's finger fits into the recess 154 when the user of the measuring device 10 holds the measuring device 10. The finger is, for example, the index finger, but may also be the thumb, middle finger, ring finger, or little finger.

[0032] Then, light-emitting unit 122 and light-receiving unit 124 are arranged in a region of the side surface of housing 150 that corresponds to the inner surface of recess 154. Note that first light-emitting unit 131 and second light-emitting unit 133 may be arranged instead of light-emitting unit 122, and first light-receiving unit 132 and second light-receiving unit 134 may be arranged instead of light-receiving unit 124. Also, the arrangement of light-emitting unit 122 and light-receiving unit 124 is not limited to the example shown in FIG.

[0033] In this embodiment, before starting an exercise, the user recognizes the exercise that he or she should perform using the measurement device 10. This enables the user to perform an appropriate exercise.

[0034] Example 2 FIG. 11 is a cross-sectional view showing the configuration of a measuring device 10 according to Example 2. In this example, the measuring device 10 is a watch-type device. A light-emitting unit 122 and a light-receiving unit 124 are arranged on the inner surface of the measuring device 10. A display unit and a sound output unit are provided on the outer surface of the measuring device 10 as an output unit 160. Note that a first light-emitting unit 131 and a second light-emitting unit 133 may be arranged instead of the light-emitting unit 122, and a first light-receiving unit 132 and a second light-receiving unit 134 may be arranged instead of the light-receiving unit 124.

[0035] In this embodiment, the user wears the measuring device 10 on his / her arm before starting exercise. Then, both before starting exercise and while exercising, the user uses the measuring device 10 to recognize the exercise that he / she should perform. For example, if not much time has passed since eating, the carbohydrate concentration in the body fluid is high, so the user should perform anaerobic exercise. On the other hand, if anaerobic exercise is continued, the carbohydrate concentration in the body fluid decreases due to anaerobic exercise, and it becomes preferable to switch to aerobic exercise. The user can recognize this switching timing by using the measuring device 10. For example, the selection unit 140 of the measuring device 10 continues to periodically determine whether aerobic exercise or anaerobic exercise is preferable during exercise according to the criteria shown in FIG. 8. Then, when it is time to switch from anaerobic exercise to aerobic exercise, the selection unit 140 causes the output unit 160 to output that fact. This allows the user to switch from anaerobic exercise to aerobic exercise at the appropriate timing.

[0036] In addition, the selection unit 140 of the measuring device 10 can also cause the output unit 160 to output an indication to stop exercising and to have a meal when the carbohydrate concentration falls below a first reference value and the lipid concentration falls below a second reference value.

[0037] FIG. 12 is a diagram showing a first example of the transition of the screen displayed by the measuring device 10. In the example shown in this figure, the user exercises while wearing the measuring device 10. The measurement result by the measuring unit 120 before exercise corresponds to (b) of FIG. 8 of the embodiment. For this reason, the measuring device 10 first displays a screen recommending anaerobic exercise, as shown in FIG. 12(a). Then, as the user of the measuring device 10 performs anaerobic exercise, the carbohydrate concentration (blood glucose level) decreases, and instead, lipids dissolve in the blood and the lipid concentration increases. Then, when the measurement result of the measuring unit 120 corresponds to (c) of FIG. 8, the measuring device 10 switches to a screen recommending aerobic exercise, as shown in FIG. 12(b). Then, when a predetermined condition is met (for example, when the exercise time reaches a predetermined time), the measuring device 10 switches to a screen recommending the end of exercise, as shown in FIG. 12(c).

[0038] FIG. 13 is a diagram showing a second example of the transition of the screen displayed by the measuring device 10. In the example shown in this figure, the user exercises while wearing the measuring device 10. The measurement result by the measuring unit 120 before exercise corresponds to (c) of FIG. 8 of the embodiment. For this reason, the measuring device 10 first displays a screen recommending aerobic exercise, as shown in FIG. 13(a). Then, as the user of the measuring device 10 performs aerobic exercise, the lipid concentration decreases. Then, the measuring device 10 switches to a screen encouraging the user to continue the aerobic exercise, as shown in FIG. 13(b). Then, when the aerobic exercise is continued for a certain period of time, a screen encouraging the user to end the exercise, as shown in FIG. 13(c). However, when the user continues exercising further and the measurement result of the measuring unit 120 corresponds to (a) of FIG. 8, the measuring device 10 switches to a screen encouraging the user to end the exercise and eat, as shown in FIG. 13(d).

[0039] In addition, when it is difficult to eat a normal meal, such as during a marathon or triathlon, it is effective to display methods for raising blood glucose levels easily, such as candy, sweet bean paste, or sports drinks. In this way, it is possible to prevent the person from collapsing due to insufficient blood glucose levels during the race. In this case, assuming that the person is unable to recognize that their blood glucose level is insufficient, the measuring device 10 worn on the arm may be equipped with a lighting device or a sound emitting device to notify the person and people around them of the danger by flashing or making a sound.

[0040] FIG. 14 is a diagram showing a third example of the transition of the screen displayed by the measuring device 10. In these diagrams, pictures and characters (e.g., pigs, birds, rice balls, etc.) are displayed on the screen of the measuring device 10 along with text. The number of characters is proportional to the carbohydrate concentration and lipid concentration. This allows the user to intuitively grasp their current carbohydrate concentration and lipid concentration, i.e., the results of their exercise. At this time, the measuring device 10 may also output sound. For example, if there is a change in the lipid concentration, a "buzzing" sound may be output, and if there is a change in the carbohydrate concentration, the words "sweet, sweet" may be output by voice.

[0041] Example 3 Fig. 15 is a diagram showing a method of using the measuring device 10 according to Example 3 together with the usage environment. In this example, multiple measuring devices 10 are connected to the same information processing device 20 via a communication network 30. The multiple measuring devices 10 are used by different users. Then, the usage results of the measuring device 10 (for example, the time spent exercising using the measuring device 10) are transmitted to the information processing device 20. In the example shown in this figure, the measuring device 10 also has a function of acquiring the user's weight.

[0042] The information processing device 20 generates statistical data using the transmitted data. This statistical data is transmitted to the measurement device 10 via the communication network 30.

[0043] Fig. 16 shows an example of a screen displayed by the measuring device 10 in this embodiment. As described above, the measuring device 10 receives statistical data from the information processing device 20. The measuring device 10 displays this statistical data together with the measurement results of the user of the measuring device 10. In the example shown in this figure, the statistical data indicates the correlation between the cumulative average exercise time per day and the amount of weight loss. By looking at this display, the user of the measuring device 10 can easily understand where he or she stands in comparison to other people.

[0044] 16, the vertical axis may represent the amount of reduction in body fat percentage. In this case, the body fat percentage is input to the measuring device 10.

[0045] Furthermore, if the amount of weight loss or the amount of body fat percentage loss does not meet the standard, the measuring device 10 may display measures to reduce these, such as food ingredients and habits to improve them. The information displayed here is transmitted to the measuring device 10 by, for example, the information processing device 20. The information processing device 20 transmits to the measuring device 10, for example, food ingredients and habits whose effectiveness has been proven by other users. This proof is made, for example, based on the results of a questionnaire given to users.

[0046] As described above, according to this embodiment, the user recognizes the exercise that he or she should do using the measuring device 10 before starting the exercise. This allows the user to perform an appropriate exercise. In addition, since the measuring device 10 is operating even during the exercise, the user can switch from anaerobic exercise to aerobic exercise or end the exercise at an appropriate timing.

[0047] Although the embodiment and examples have been described above with reference to the drawings, these are merely examples of the present invention, and various configurations other than those described above can also be adopted. [Explanation of symbols]

[0048] 10. Measuring Equipment 120 Measuring section 122 Light emitting part 124 Light receiving part 131 First light emitting part 132 1st light receiving section 133 Second light emitting part 134 2nd light receiving section 140 Selection Section 160 Output section

Claims

[Claim 1] A measurement unit that measures at least one of a carbohydrate concentration and a lipid concentration in a body fluid; a selection unit that selects one of a first exercise and a second exercise from the measurement result of the measurement unit and outputs the selection result; A measuring device comprising:

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