Blood component monitoring device, blood component monitoring program, and blood component monitoring system

Abstract

To make a detailed advice.SOLUTION: A blood component monitoring device 10 for monitoring a blood component comprises a concentration acquisition part 52 for acquiring a glucose correlation value correlating with the blood concentration of glucose and a neutral lipid correlation value correlating with the blood concentration of neutral lipid. The blood component monitoring device 10 comprises an information generation part 54 for generating information on a blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to a meal.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a blood component monitoring device, a blood component monitoring program, and a blood component monitoring system.

Background Art

[0002] Patent Document 1 discloses a diet advice providing system.

[0003] This diet advice providing system gives advice on diet based on the blood sugar level measured before a meal, the blood sugar level measured after the meal, and the time when the blood sugar level was obtained.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, in such a diet advice providing system, advice on diet is given based only on the blood sugar level. For this reason, among the blood components that vary depending on the diet, although lipids are also included, it is only possible to give advice on carbohydrates.

[0006] The present invention has been made in view of the above problems, and an object thereof is to be able to comprehensively provide information on the blood state taking into account not only carbohydrates but also other blood components that vary depending on the diet.

Means for Solving the Problems

[0007] According to an aspect of the present invention, there is provided a blood component monitoring device for monitoring blood components. The blood component monitoring device includes a concentration acquisition unit that acquires a glucose correlation value correlated with the blood concentration of glucose and a neutral lipid correlation value correlated with the blood concentration of neutral lipids. The blood component monitoring device includes an information generation unit that generates information regarding the blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to meals.

Advantages of the Invention

[0008] According to this aspect, information regarding the blood state is generated based on the variation patterns of the glucose correlation value correlated with the blood concentration of glucose and the neutral lipid correlation value correlated with the blood concentration of neutral lipids.

[0009] Therefore, compared with the case of generating information based only on the blood carbohydrate level, it is possible to comprehensively provide information regarding the blood state that takes into account not only carbohydrates but also other blood components that vary due to meals.

[0010] In addition, since information regarding the blood state is generated using the variation patterns, it is possible to provide information regarding the blood state at an appropriate timing according to the variation.

Brief Description of the Drawings

[0011]

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BEST MODE FOR CARRYING OUT THE INVENTION

[0012] <First Embodiment> Hereinafter, the first embodiment will be described with reference to the accompanying drawings.

[0013] FIG. 1 is a block diagram showing an example of the hardware configuration of the blood component monitoring device 10 according to the first embodiment. FIG. 2 is a functional block diagram showing an example of the functional configuration of the blood component monitoring device 10 according to the first embodiment.

[0014] The blood component monitoring device 10 is a device that monitors the blood components of a user. Examples of the blood components to be monitored include glucose (blood sugar) and neutral lipids (neutral fat).

[0015] As an example, the blood component monitoring device 10 is composed of a wearable device that the user wears and uses. As an example of the wearing position of the blood component monitoring device 10, the user's wrist can be mentioned.

[0016] (Hardware Configuration) As shown in FIG. 1, the blood component monitoring device 10 is centered around a processor 12 that constitutes a computer. A measurement unit 14, a storage unit 30, an input unit 32, a display unit 34, a notification unit 36, a clock unit 38, and a communication unit 40 are connected to the processor 12.

[0017] The measurement unit 14 is composed of a detection sensor that detects the blood components of the user. The detection sensor that constitutes the measurement unit 14 non-invasively detects a correlation value that correlates with the concentration of the blood components in the body without hurting the user.

[0018] A known detection method is used for the method of detecting the correlation value that correlates with the concentration of the blood components. In this detection method, near-infrared rays are used as an example. The measurement unit 14 continuously detects a correlation value that correlates with the concentration of the blood components in the user's body by using near-infrared rays.

[0019] The blood components to be detected by the measurement unit 14 are glucose and neutral lipids. The measurement unit 14 continuously detects a glucose correlation value that correlates with the blood concentration of glucose and a neutral lipid correlation value that correlates with the blood concentration of neutral lipids, and sends the detection signals of both to the processor 12. Thereby, the blood component monitoring device 10 continuously acquires the glucose correlation value and the neutral lipid correlation value, and acquires the change over time of the glucose correlation value and the neutral lipid correlation value.

[0020] The glucose correlation value is correlated with the blood concentration of glucose, and the blood concentration of glucose can be estimated from the glucose correlation value. The neutral lipid correlation value is correlated with the blood concentration of neutral lipids, and the blood concentration of neutral lipids can be estimated from the neutral lipid correlation value.

[0021] Here, the concept indicated by the glucose correlation value includes the blood concentration of glucose. Also, the concept indicated by the neutral lipid correlation value includes the blood concentration of neutral lipids.

[0022] Note that in this embodiment, the case of detecting a glucose correlation value correlated with the blood concentration of glucose and a neutral lipid correlation value correlated with the blood concentration of neutral lipids will be described, but it is not limited thereto. For example, in addition to the glucose correlation value and the neutral lipid correlation value, a correlation value correlated with the blood concentration of other blood components may be detected.

[0023] Also, in this embodiment, the case of non-invasively measuring a correlation value correlated with the blood concentration will be described, but it is not limited thereto. As an example, blood in the body may be collected to measure a correlation value correlated with the blood concentration.

[0024] The storage unit 30 stores data so that it can be read by the processor 12. The storage unit 30 stores a blood component monitoring program for controlling the operation of the blood component monitoring device 10.

[0025] The storage unit 30 functions as a storage medium for storing a blood component monitoring program that realizes the functions of the information processing device of this embodiment. The storage unit 30 is composed of a non-volatile memory (ROM: Read Only Memory), a volatile memory (RAM: Random Access Memory), and the like.

[0026] Also, the storage unit 30 stores data used in the blood component monitoring program so that it can be read.

[0027] As an example, the memory unit 30 sequentially stores the glucose correlation value and the neutral lipid correlation value acquired by the measurement unit 14. Further, the memory unit 30 stores voice data indicating advice used according to the measurement result of the measurement unit 14 so that it can be reproduced as voice. Furthermore, the memory unit 30 stores character data indicating advice used according to the measurement result of the measurement unit 14 so that it can be displayed as characters.

[0028] Specifically, the memory unit 30 stores a data table showing the relationship between the variation patterns of the glucose correlation value and the neutral lipid correlation value due to diet and the advice. Also, the memory unit 30 stores advice used when at least one of the glucose correlation value and the neutral lipid correlation value exceeds a predetermined value.

[0029] And the memory unit 30 stores advice on how to eat when the glucose correlation value exceeds the first threshold value. The advice on how to eat includes advice for suppressing the speed of eating. Note that the data table in which these advices are stored may be stored in the memory unit 30.

[0030] Also, the memory unit 30 stores advice for promoting exercise used when the neutral lipid correlation value exceeds the second threshold value.

[0031] The input unit 32 sends the data input by the user to the processor 12. The input unit 32 functions as an input interface that receives the input operation of the user. The input unit 32 is composed of, for example, a plurality of operation buttons and numeric buttons.

[0032] The display unit 34 performs display according to the data from the processor 12. The display unit 34 notifies the user of the measurement result, advice, etc. by display. Examples of the device for notifying by display include a light emitting diode or a liquid crystal display panel such as an LCD (Liquid Crystal Display). The display unit 34 of the present embodiment is composed of, for example, a liquid crystal display panel.

[0033] The notification unit 36 performs notifications according to the data from the processor 12. The notification unit 36 audibly notifies the user of guidance, warning sounds, advice, etc. Examples of devices for audible notification include piezoelectric buzzers or speakers, and the notification unit 36 of the present embodiment is configured by a speaker as an example.

[0034] The clock unit 38 measures time while indicating the current date, month, and time. The clock unit 38 outputs the current date, month, and time to the processor 12.

[0035] The communication unit 40 enables data transmission and reception between the processor 12 and an external device. The communication unit 40 constitutes an interface for data transmission and reception. The communication unit 40 is composed of hardware that communicates using USB (universal serial bus), Bluetooth (registered trademark), wireless LAN, short-range wireless communication (such as FeliCa (registered trademark)), LPWA, or a mobile phone line such as 4G and 5G.

[0036] When the blood component monitoring program described above is supplied from an external device, the communication unit 40 receives the blood component monitoring program from the external device and sends it to the processor 12. The processor 12 stores the received blood component monitoring program in the storage unit 30. When the communication unit 40 is configured by an Internet connection device, the communication unit 40 receives the blood component monitoring program from a server or the like, which is an external device, through a network such as the Internet network and the telephone network.

[0037] The processor 12 is configured by a central processing unit (CPU: Central Processing Unit) as an example. The processor 12 reads out the program stored in the storage unit 30 and operates according to the read program. Thereby, the processor 12 controls each part of the blood component monitoring device 10 to implement the blood component monitoring method.

[0038] Further, the processor 12 displays advice and the like on the display unit 34, gives notification from the notification unit 36, or transmits data to an external device via the communication unit 40.

[0039] (Functional block) As shown in FIG. 2, the blood component monitoring device 10 includes a concentration acquisition unit 52 and an information generation unit 54 that is an information generation unit. The information generation unit 54 includes a combination advice unit 56 and an over-time advice unit 58. The over-time advice unit 58 includes a meal speed advice unit 60, which is an example of advice regarding meals, and an exercise promotion advice unit 62.

[0040] The functions of each unit in the blood component monitoring device 10 are realized by the processor 12 executing a blood component monitoring program, which is a software program read from the storage unit 30.

[0041] Note that at least one of the functions of each unit of the blood component monitoring device 10 may be realized by individual hardware such as an ASIC. Further, each unit of the blood component monitoring device 10 may be realized by a combination of a software program and individual hardware.

[0042] 《Concentration acquisition unit》 The concentration acquisition unit 52 acquires a glucose correlation value that correlates with the blood concentration of glucose and a neutral lipid correlation value that correlates with the blood concentration of neutral lipids.

[0043] The concentration acquisition unit 52 estimates the blood concentrations of both components from the acquisition value obtained from the detection sensor of the measurement unit 14, which is a correlation value that correlates with the concentration of the blood components of the user. The correlation values to be estimated are a glucose correlation value that correlates with the blood concentration of glucose and a neutral lipid correlation value that correlates with the blood concentration of neutral lipids.

[0044] Note that when collecting blood in the body to obtain a correlation value that correlates with the blood concentration, the correlation values are the blood concentration of glucose and the blood concentration of neutral lipids.

[0045] The concentration acquisition unit 52 continuously acquires the glucose correlation value and the neutral lipid correlation value, and acquires the change over time of the glucose correlation value and the neutral lipid correlation value. The concentration acquisition unit 52 records the continuously acquired glucose correlation value and neutral lipid correlation value in the storage unit 30 in a readable manner in association with the date and time obtained from the clock unit 38.

[0046] 《Information generation unit》 The information generation unit 54 generates information on the blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to meals. Examples of the information generated by the information generation unit 54 include alerts and advice. In the present embodiment, the information generation unit 54 generates advice.

[0047] Examples of the generated advice include advice on health. The advice on health includes at least advice on diet or advice on exercise.

[0048] Advice on diet includes the amount of food, the content of the meal, the meal time, the order of eating, and the cooking method of the meal.

[0049] The variation patterns of the glucose correlation value and the neutral lipid correlation value due to meals indicate the changes in the glucose correlation value and the neutral lipid correlation value that appear before and after the meal when the user eats.

[0050] Whether the user has started eating is determined based on the variation patterns of the glucose correlation value and the neutral lipid correlation value stored in the storage unit 30, or based on the input state of the operation buttons of the input unit 32. In the present embodiment, as an example, when the operation button of the input unit 32 is turned on, it is determined that the meal has started.

[0051] Neutral lipids serve as an energy source. However, if consumed in excess, they are incorporated into the body as fat. Therefore, in addition to monitoring glucose fluctuations, measuring neutral lipid fluctuations can help identify excessive glucose and lipid intake. This enables the provision of advice on improving diet and the need for exercise.

[0052] The relationship between fat and diabetes is known to be associated with arteriosclerosis. Excessive glucose intake is known to lead to a constitution that easily stores neutral fat. It is known that when consuming sweet foods with a high concentration of neutral lipids, the risk of obesity increases. Therefore, simultaneously measuring neutral lipids and glucose is useful for preventing these conditions.

[0053] Here, we will explain the basic advice required for the combination of glucose and neutral lipids.

[0054] "When glucose is high and neutral lipids are high" Advice for when glucose is high and neutral lipids are high includes the following.

[0055] Advice regarding the amount of food includes "Please refrain from eating and drinking." Advice regarding the content of the diet includes "Sugar-free tea is recommended." Advice regarding meal times includes "Eat your meals slowly." and "Chew your food well."

[0056] Advice regarding the order of eating food includes "Eat your meals in the order of soup, vegetables, main dish, and rice." Advice regarding cooking methods includes "Change your rice to brown rice or fried rice."

[0057] Advice regarding exercise includes "Please exercise." "Take a 30-minute walk." "Ride a bicycle for 30 minutes." and "Get off the train one stop early and walk home."

[0058] "When glucose is low and neutral fat is high" Advice for when glucose is low and neutral fat is high includes the following.

[0059] First, give advice on reducing neutral fat. In addition, since neutral fat is susceptible to the influence of carbohydrates (glucose), it is also desirable to give advice on reducing carbohydrates (glucose).

[0060] Advice regarding the amount of food includes "Please refrain from foods high in sugar and especially fat."

[0061] Advice regarding the content of the diet includes "Please refrain from foods containing fat (fried foods).", "Refrain from fried foods such as fried chicken, and eat boiled or steamed foods instead.", "It is okay to consume grains." Furthermore, as advice regarding the content of the diet, it is even better to give advice on reducing carbohydrates such as "It is better to consume sugar-free snacks, foods and drinks that do not contain carbohydrates.", "It is better to consume sugar-free tea, low-calorie desserts and snacks, and desserts that do not contain carbohydrates."

[0062] Thus, it is possible to prioritize giving advice on reducing neutral fat and further give advice on reducing carbohydrates (glucose).

[0063] Advice regarding exercise includes "Please exercise.", "Let's take a 30-minute walk.", "Let's ride a bicycle for 30 minutes.", "Get off at the stop one station before and walk home."

[0064] "When glucose is high and neutral fat is low" Advice for when glucose is high and neutral fat is low includes the following. In this case, there are no restrictions on fat.

[0065] In addition, when glucose is high and neutral fat is low, advice to lower only glucose is given.

[0066] Advice on the amount and content of meals includes "Please refrain from carbohydrates (grains) and sweet foods.", "Please consume sugar-free tea and sugar-free desserts without carbohydrates." and the like. Advice on meal times includes "Please eat your meals slowly.", "Please chew your food well." and the like.

[0067] Advice on the order of eating meals includes "Please eat your meals in the order of soup, vegetables, main dish, and rice." and the like.

[0068] Regarding advice on cooking methods, the use of oil is recommended to suppress the absorption of blood glucose levels. Advice on cooking methods includes "Please change your rice to brown rice or fried rice.", "Please include dishes cooked with oil." and the like. Thus, when glucose is high and neutral fat is low, even if there are matters that cause a slight increase in the blood neutral fat concentration, it is possible to provide advice that prioritizes reducing the blood glucose concentration.

[0069] "When glucose is low and neutral fat is low" When glucose is low and neutral fat is low, it is stated as "Normal." to convey that it is normal.

[0070] In addition, when glucose and neutral fat are too low, advice to encourage eating is given. Also, outside of meal times, advice to encourage snacks is given.

[0071] Also, the basic idea regarding the fluctuation patterns of glucose or neutral fat and advice will be explained.

[0072] When glucose (blood sugar level) rises rapidly, advice on eating habits will be given. Examples of advice on eating habits include "Eat slowly." and "Chew well."

[0073] Examples of advice on cooking methods include "Change rice to fried rice." and "Change udon to yakisoba." Examples of advice on the order of taking meals include "Take meals in the order of vegetables, main dishes (meat, fish), and rice." Examples of advice on food combinations include "Eat fried foods."

[0074] If neutral fat does not decrease even after a certain period of time has passed since the start of a meal, advice on exercise will be given. Examples of advice on exercise include "Do aerobic exercise." Examples of aerobic exercise include "Walking for 30 minutes" and "Riding a bicycle for 15 minutes."

[0075] Also, when neutral fat is high on an empty stomach, advice on reviewing the content of meals, advice on prompting reflection on overeating or overdrinking, and advice on the content of future meals will be given. When glucose (carbohydrates) is low and in a hypoglycemic state on an empty stomach, advice on promoting sugar intake with candies or the like will be given.

[0076] Examples of advice when a blood sugar spike with a rapid rise in glucose is observed include "Since you eat quickly, eat slowly and chew well." and "Chew 20 times per bite." Examples of advice on the order of taking meals include "Take meals in the order of vegetables, side dishes, and rice." Examples of advice on cooking methods include "Eat dishes cooked with oil." and "Eat carbohydrates cooked with oil."

[0077] As advice when the maximum value of postprandial neutral fat appears late and blood glucose (blood concentration) does not decrease, there are "Eat more vegetables.", "Eat meals in the order of vegetables, side dishes, and rice.", "Limit the intake of dishes cooked with oil.", "Eat staple foods such as steamed or boiled foods that do not use oil.", "Limit the intake of meat and switch to fish.", etc.

[0078] This information generation unit 54 generates advice based on the basic advice corresponding to the combination of glucose and neutral fat described above and the basic advice corresponding to the variation pattern of glucose or neutral fat.

[0079] [Combined Advice Section] The combined advice section 56 generates advice based on the combination of the variation patterns of the glucose correlation value and the neutral fat correlation value.

[0080] The combined advice section 56 classifies the variation pattern of the glucose correlation value into four patterns as an example.

[0081] The four patterns of the glucose correlation value include a glucose normal pattern in which the variation pattern of the glucose correlation value is close to the normal value and a postprandial hyperglycemia pattern in which the glucose correlation value temporarily rises rapidly after a meal. Also, the four patterns of the glucose correlation value include a diabetes pattern in which the glucose correlation value continues to rise after a predetermined time has elapsed after a meal and a hypoglycemia pattern in which the glucose correlation value changes little below a predetermined value before and after a meal.

[0082] Also, the combined advice section 56 classifies the variation pattern of the neutral fat correlation value into four patterns as an example.

[0083] The four patterns of neutral lipid correlation values include a normal neutral lipid pattern where the fluctuation pattern of the neutral lipid correlation value is close to the normal value, and a postprandial hyperlipidemia pattern where the neutral lipid correlation value continues to rise even after a predetermined time has elapsed after a meal. Also, the four patterns of neutral lipid correlation values include a hyperlipidemia pattern where the neutral lipid correlation value exceeds a predetermined value before and after a meal, and a hypolipidemia pattern where the neutral lipid correlation value changes little and is below the predetermined value before and after a meal.

[0084] The combination advice unit 56 generates advice according to the combination of the four patterns of glucose correlation values and the four patterns of neutral lipid correlation values. Also, the combination advice unit 56 notifies the generated advice from the display unit 34 and the notification unit 36.

[0085] Note that the combination advice unit 56 may transmit the generated advice to other devices via the communication unit 40.

[0086] [Overtime Advice Unit] The overtime advice unit 58 generates advice when at least one of the glucose correlation value and the neutral lipid correlation value exceeds a predetermined value.

[0087] As an example, when the glucose correlation value exceeds a predetermined value, the overtime advice unit 58 generates advice on matters related to meals. Also, as an example, when the neutral lipid correlation value exceeds a predetermined value, the overtime advice unit 58 generates advice on exercise.

[0088] 〈Meal Speed Advice Unit〉 The meal speed advice unit 60 generates advice for suppressing the speed of taking meals when the glucose correlation value exceeds a first threshold value.

[0089] The meal speed advice unit 60 generates advice for suppressing the speed of taking meals, for example, when the glucose correlation value measured sequentially exceeds the first threshold value. The meal speed advice unit 60 notifies the generated advice from the display unit 34 and the notification unit 36.

[0090] Note that the meal speed advice unit 60 may transmit the generated advice to other devices via the communication unit 40.

[0091] <Exercise promotion advice unit> The exercise promotion advice unit 62 generates advice for promoting exercise when the neutral lipid correlation value exceeds the second threshold value.

[0092] The exercise promotion advice unit 62 generates advice for promoting exercise, for example, when the neutral lipid correlation value measured sequentially exceeds the second threshold value. The exercise promotion advice unit 62 notifies the generated advice from the display unit 34 and the notification unit 36.

[0093] Note that the exercise promotion advice unit 62 may transmit the generated advice to other devices via the communication unit 40.

[0094] (Operation explanation) Next, the operation of the blood component monitoring device 10 will be described with reference to FIGS. 3 to 13 and according to the processing procedure executed by the processor 12 of the blood component monitoring device 10.

[0095] FIG. 3 is a flowchart showing an example of the operation of the blood component monitoring process according to the first embodiment. FIG. 4 is a flowchart showing an example of the advice generation process according to the first embodiment. FIG. 5 is a flowchart showing an example of the combined advice generation process according to the first embodiment.

[0096] When the processor 12 of the blood component monitoring device 10 executes the blood component monitoring process stored in the storage unit 30, the processor 12 performs initial settings (step S2). In the initial settings, as an example, the processor 12 secures a data storage area in the storage unit 30 or secures an area for temporarily storing the generated advice data.

[0097] Then, the processor 12 acquires a glucose correlation value correlated with the blood glucose concentration from the measurement unit 14, and records the acquired glucose correlation value in the storage unit 30 in association with the date and time acquired from the clock unit 38 (step S4). Further, the processor 12 acquires a neutral lipid correlation value correlated with the blood neutral lipid concentration from the measurement unit 14, and records the acquired neutral lipid correlation value in the storage unit 30 in association with the date and time acquired from the clock unit 38 (step S6). Then, the processor 12 executes an advice generation process (step S8).

[0098] In the advice generation process, as shown in FIG. 4, the processor 12 executes a combined advice process (step SB2).

[0099] In the combined advice process, as shown in FIG. 5, the processor 12 determines what pattern the variation pattern of the glucose correlation value is based on the change over time of the glucose correlation value stored in the storage unit 30 (step SC2).

[0100] If the accumulated amount of the glucose correlation value is small and the glucose correlation value two hours after the start of a meal cannot be obtained, the process proceeds to step SC4 without determining the variation pattern of the glucose correlation value.

[0101] A specific method for determining the variation pattern will be described with reference to FIG. 6. FIG. 6 is a diagram showing the variation pattern of the glucose correlation value according to the first embodiment.

[0102] The variation pattern of the glucose correlation value is classified into a normal glucose pattern A, a postprandial hyperglycemia pattern B, a diabetes pattern C, and a hypoglycemia pattern D.

[0103] The normal glucose pattern A shows a pattern in which the variation pattern of the glucose correlation value is close to the normal value. Specifically, the normal glucose pattern A shows a pattern in which the blood glucose concentration indicated by the glucose correlation value rises within two hours after the start of a meal but does not exceed the first predetermined value 102.

[0104] The first predetermined value 102 is, for example, a glucose value determined within the range of 160 mg / dL or more and 180 mg / dL or less. In the present embodiment, the first predetermined value 102 is, for example, a glucose value of 180 mg / dL.

[0105] The postprandial hyperglycemia pattern B shows a pattern in which the blood glucose concentration indicated by the glucose correlation value temporarily rises rapidly after a meal. Specifically, the postprandial hyperglycemia pattern B shows a pattern in which the blood glucose concentration indicated by the glucose correlation value rises above the first predetermined value 102 after the start of a meal and then becomes 102 or less within two hours after the start of the meal.

[0106] The first predetermined value 102 is, for example, a glucose value determined within the range of 160 mg / dL or more and 180 mg / dL or less. In the present embodiment, the first predetermined value 102 is, for example, a glucose value of 180 mg / dL.

[0107] The diabetes pattern C shows a pattern in which the blood glucose concentration indicated by the glucose correlation value continues to rise after a predetermined time after a meal has elapsed. Specifically, the diabetes pattern C shows a pattern in which the blood glucose concentration indicated by the glucose correlation value rises above the first predetermined value 102 after the start of a meal and continues to exceed the first predetermined value 102 even after more than two hours from the start of the meal.

[0108] The first predetermined value 102 is, for example, a glucose value and is defined in the range of 160 mg / dL or more and 180 mg / dL or less. In the present embodiment, the first predetermined value 102 is, for example, a glucose value and is 180 mg / dL.

[0109] In the present embodiment, the first predetermined value 102 is used for the determination of the normal glucose pattern A, the determination of the postprandial hyperglycemia pattern B, and the determination of the diabetes pattern C, but is not limited thereto. The predetermined values used for the determination of the normal glucose pattern A, the determination of the postprandial hyperglycemia pattern B, and the determination of the diabetes pattern C may be different values.

[0110] The hypoglycemia pattern D indicates a pattern in which the glucose correlation value changes little and is below a predetermined value before and after a meal. Specifically, the hypoglycemia pattern D indicates a pattern in which the blood glucose concentration indicated by the glucose correlation value is 104 or less of the second predetermined value before and after a meal. The second predetermined value 104 is, for example, a glucose value of 100 mg / dL.

[0111] In step SC2, the processor 12 determines which pattern among the normal glucose pattern A, the postprandial hyperglycemia pattern B, the diabetes pattern C, or the hypoglycemia pattern D is the change over time of the glucose correlation value stored in the storage unit 30.

[0112] Here, in the present embodiment, each pattern is classified by comparing the blood glucose concentration indicated by the glucose correlation value with each of the predetermined values 102 and 104, but is not limited thereto. For example, a pattern suitable for the user can be determined based on the relative change between the past variation pattern and the current variation pattern stored in the storage unit 30.

[0113] Then, the processor 12 determines what pattern the variation pattern of the neutral lipid correlation value is based on the change over time of the neutral lipid correlation value stored in the storage unit 30 (step SC4).

[0114] In addition, when the accumulation amount of the neutral lipid correlation value is small and the neutral lipid correlation value cannot be obtained until two hours after the start of the meal, the process proceeds to step SC6 without determining the variation pattern of the neutral lipid correlation value.

[0115] A specific method for determining the variation pattern will be described with reference to FIG. 7. FIG. 7 is a diagram showing the variation pattern of the neutral lipid correlation value according to the first embodiment.

[0116] The variation pattern of the neutral lipid correlation value is classified into a neutral lipid normal pattern E, a postprandial hyperlipidemia pattern F, a hyperlipidemia pattern G, and a hypolipidemia pattern H.

[0117] The neutral lipid normal pattern E indicates a pattern in which the variation pattern of the neutral lipid correlation value is close to the normal value. Specifically, the neutral lipid normal pattern E indicates a pattern in which the blood concentration of neutral lipids indicated by the neutral lipid correlation value rises after the start of the meal and starts to decline by four hours after the start of the meal. In addition, in the neutral lipid normal pattern E, the blood concentration of neutral lipids indicated by the neutral lipid correlation value does not exceed the third predetermined value 112.

[0118] The third predetermined value 112 is, for example, a value of neutral lipids and is determined in the range of 200 mg / dL or more and 250 mg / dL or less. In the present embodiment, the third predetermined value 112 is, for example, 250 mg / dL as a value of neutral lipids.

[0119] The postprandial hyperlipidemia pattern F indicates a pattern in which the neutral lipid correlation value continues to rise even after a predetermined time has elapsed since the start of the meal. Specifically, the postprandial hyperlipidemia pattern F indicates a pattern in which the blood concentration of neutral lipids indicated by the neutral lipid correlation value continues to rise after starting the meal and exceeds the third predetermined value 112 four hours after starting the meal.

[0120] The third predetermined value 112 is, for example, a value of neutral lipids and is determined in the range of 200 mg / dL or more and 250 mg / dL or less. In the present embodiment, the third predetermined value 112 is, for example, 250 mg / dL as a value of neutral lipids.

[0121] In this embodiment, the third predetermined value 112 is used for the determination of the normal neutral lipid pattern E and the determination of the postprandial hyperlipidemia pattern F, but the present invention is not limited thereto. The predetermined values used for the determination of the normal neutral lipid pattern E and the determination of the postprandial hyperlipidemia pattern F may be different values.

[0122] The hyperlipidemia pattern G indicates a pattern in which the neutral lipid correlation value exceeds a predetermined value before and after a meal. Specifically, the hyperlipidemia pattern G indicates a pattern in which the blood concentration of neutral lipids indicated by the neutral lipid correlation value exceeds the fourth predetermined value 114 before and after a meal.

[0123] In this embodiment, as an example, the fourth predetermined value 114 is a value of neutral lipids and is 150 mg / dL.

[0124] Here, the normal value of the neutral lipid level is set to be 30 mg / dL or more and 149 mg / dL or less on an empty stomach. When the neutral lipid level is high, it is said to cause dyslipidemia or arteriosclerosis. When the neutral lipid level is low, diet, excessive exercise, diseases (hyperthyroidism, liver dysfunction), or constitution may be considered.

[0125] The hypolipidemia pattern H indicates a pattern in which the neutral lipid correlation value changes little and is below a predetermined value before and after a meal. Specifically, the hypolipidemia pattern H indicates a pattern in which the blood concentration of neutral lipids indicated by the neutral lipid correlation value is below the fourth predetermined value 114 before and after a meal.

[0126] In this embodiment, as an example, the fourth predetermined value 114 is a value of neutral lipids and is 150 mg / dL.

[0127] In this embodiment, the fourth predetermined value 114 is used for the determination of the hyperlipidemia pattern G and the determination of the hypolipidemia pattern H, but the present invention is not limited thereto. The predetermined values used for the determination of the hyperlipidemia pattern G and the determination of the hypolipidemia pattern H may be different values.

[0128] In step SC4, the processor 12 determines which pattern among the neutral lipid normal pattern E, the postprandial hyperlipidemia pattern F, the hyperlipidemia pattern G, or the hypolipidemia pattern H is the case for the change over time of the neutral lipid correlation value stored in the storage unit 30.

[0129] Here, in the present embodiment, the pattern is classified by comparing the blood concentration of neutral lipids indicated by the neutral lipid correlation value with each predetermined value 112, 114, but it is not limited thereto. For example, a pattern suitable for the user can be determined based on the relative change between the past variation pattern stored in the storage unit 30 and the current variation pattern.

[0130] Then, the processor 12 generates advice based on the combination of the determined variation pattern of the glucose correlation value and the variation pattern of the neutral lipid correlation value (step SC6).

[0131] In this process of generating advice, the data table stored in the storage unit 30 is used. The process of generating advice will be described using the first data table 122, the second data table 124, the third data table 126, and the fourth data table 128 shown in FIGS. 8 to 11.

[0132] FIG. 8 is a diagram showing an example of the first data table 122 showing the relationship between the combination of variation patterns and advice when the neutral lipid correlation value is normal. In the first data table 122, advice corresponding to the combination of the neutral lipid normal pattern E in which the variation pattern of the neutral lipid correlation value is close to the normal value and each pattern A, B, C, D showing the variation pattern of the glucose correlation value is stored.

[0133] When the variation pattern of the neutral lipid correlation value is the neutral lipid normal pattern E and the variation pattern of the glucose correlation value is the glucose normal pattern A, the processor 12 extracts the voice data and the character data indicating the advice 132 from the first data table 122.

[0134] This combination of patterns shows normal values for both the neutral lipid correlation value and the glucose correlation value, and there are no notable points to note.

[0135] As an example, advice 132 is "Normal."

[0136] When the variation pattern of the neutral lipid correlation value is the neutral lipid normal pattern E and the variation pattern of the glucose correlation value is the postprandial hyperglycemia pattern B, the processor 12 extracts the voice data and character data indicating advice 134 from the first data table 122.

[0137] Since this combination of patterns is suspected of postprandial hyperglycemia, advice is given to suppress the rise in blood glucose level. Also, although there is no restriction on lipids, since the risk of diabetes is high, the user is informed of this. Here, lipids have the effect of suppressing the rise of glucose.

[0138] As an example, advice 134 is "Please refrain from carbohydrates (grains) and sweet foods." and "Please consume foods containing lipids (fried foods)."

[0139] When the variation pattern of the neutral lipid correlation value is the neutral lipid normal pattern E and the variation pattern of the glucose correlation value is the diabetes pattern C, the processor 12 extracts the voice data and character data indicating advice 136 from the first data table 122.

[0140] Since this combination of patterns is suspected of diabetes, carbohydrate restriction is advised. Also, attention is drawn to lipids.

[0141] As an example, advice 136 is "Please refrain from carbohydrates (grains) and sweet foods." and "Please refrain from foods containing lipids (fried foods)."

[0142] When the variation pattern of the neutral lipid correlation value is the neutral lipid normal pattern E and the variation pattern of the glucose correlation value is the hypoglycemia pattern D, the processor 12 extracts voice data and character data indicating advice 138 from the first data table 122.

[0143] Since this pattern combination indicates hypoglycemia, advice is given to increase the blood glucose level.

[0144] As an example, advice 138 is "Please have a proper meal."

[0145] FIG. 9 is a diagram showing an example of a second data table 124 that shows the relationship between the combination of variation patterns and advice when there is a suspicion of postprandial hyperlipidemia.

[0146] In the second data table 124, advice corresponding to the combination of the variation pattern of the neutral lipid correlation value being the postprandial hyperlipidemia pattern F with suspicion of postprandial hyperlipidemia and each pattern A, B, C, D showing the variation pattern of the glucose correlation value is stored.

[0147] When the variation pattern of the neutral lipid correlation value is the postprandial hyperlipidemia pattern F and the variation pattern of the glucose correlation value is the glucose normal pattern A, the processor 12 extracts voice data and character data indicating advice 142 from the second data table 124.

[0148] In the case of this pattern combination, since postprandial hyperlipidemia is suspected, advice is given to suppress the increase in neutral lipids. Also, the intake of carbohydrates should be noted.

[0149] As an example, advice 142 is "Please refrain from eating foods containing lipids (fried foods)."

[0150] When the variation pattern of the neutral lipid correlation value is the postprandial hyperlipidemia pattern F and the variation pattern of the glucose correlation value is the postprandial hyperglycemia pattern B, the processor 12 extracts the voice data and character data indicating the advice 144 from the second data table 124.

[0151] Since this combination of patterns is suspected of postprandial hyperglycemia and postprandial hyperlipidemia, advice is given to suppress the rise in blood glucose level and the rise in lipids. Also, since the risk of diabetes is extremely high, the user is informed of this.

[0152] As an example, the advice 144 is "Please refrain from eating foods containing lipids (fried foods)." and "Please refrain from eating carbohydrates (grains) and sweet foods."

[0153] When the variation pattern of the neutral lipid correlation value is the postprandial hyperlipidemia pattern F and the variation pattern of the glucose correlation value is the diabetes pattern C, the processor 12 extracts the voice data and character data indicating the advice 146 from the second data table 124.

[0154] Since this combination of patterns is suspected of diabetes and postprandial hyperlipidemia, advice on dietary restriction is given.

[0155] As an example, the advice 146 is "Let's practice dietary restriction."

[0156] When the variation pattern of the neutral lipid correlation value is the postprandial hyperlipidemia pattern F and the variation pattern of the glucose correlation value is the hypoglycemia pattern D, the processor 12 extracts the voice data and character data indicating the advice 148 from the second data table 124.

[0157] Since this combination of patterns indicates that the user is likely restricting carbohydrates, advice is given to increase carbohydrates and suppress the rise in lipids. Also, advice is given to inform the user that restricting carbohydrates is meaningless if the neutral lipid level is rising.

[0158] Advice 148, for example, is "Let's replenish sugar with candy or the like."

[0159] FIG. 10 is a diagram showing an example of a third data table 126 indicating the relationship between the combination of variation patterns and advice when there is a suspicion of hyperlipidemia.

[0160] In the third data table 126, advice corresponding to the combination of the variation pattern of the neutral lipid correlation value and each of the patterns A, B, C, D indicating the variation pattern of the glucose correlation value for the hyperlipidemia pattern G with a suspicion of hyperlipidemia is stored.

[0161] When the variation pattern of the neutral lipid correlation value is the hyperlipidemia pattern G and the variation pattern of the glucose correlation value is the normal glucose pattern A, the processor 12 extracts the voice data and character data indicating advice 152 from the third data table 126.

[0162] In the case of this combination of patterns, since hyperlipidemia is suspected, advice is given to limit lipids. Also, advice to exercise is given. Furthermore, advice to pay attention to carbohydrate intake is given.

[0163] Advice 152, for example, is "Please refrain from eating foods containing lipids (fried foods)." and "Please exercise."

[0164] Here, as the cause of the increase in neutral lipids, excessive intake of lipids and carbohydrates or lack of exercise can be cited. As a method for improving neutral lipids, aerobic exercise (such as walking, swimming, cycling, slow jogging, etc.) is known, and it is desirable to continue exercising for 30 minutes or more at an exercise intensity of 3 Mets.

[0165] When the variation pattern of the neutral lipid correlation value is the hyperlipidemia pattern G and the variation pattern of the glucose correlation value is the postprandial hyperglycemia pattern B, the processor 12 extracts the voice data and character data indicating advice 154 from the third data table 126.

[0166] Since this combination of patterns is suspected of postprandial hyperglycemia and hyperlipidemia, advice is given to restrict lipids. Also, since the risk of diabetes is extremely high, the patient is informed of this fact.

[0167] Advice 154, for example, states "Please refrain from eating foods containing lipids (fried foods)" and "The risk of diabetes is high."

[0168] When the variation pattern of the neutral lipid correlation value is the hyperlipidemia pattern G and the variation pattern of the glucose correlation value is the diabetes pattern C, the processor 12 extracts the voice data and character data indicating Advice 156 from the third data table 126.

[0169] Since this combination of patterns is suspected of diabetes and hyperlipidemia, advice is given to restrict diet.

[0170] Advice 156, for example, states "Please restrict your diet."

[0171] When the variation pattern of the neutral lipid correlation value is the hyperlipidemia pattern G and the variation pattern of the glucose correlation value is the hypoglycemia pattern D, the processor 12 extracts the voice data and character data indicating Advice 158 from the third data table 126.

[0172] Since this combination of patterns is suspected of hyperlipidemia, advice is given that a doctor's diagnosis is necessary.

[0173] Advice 158, for example, states "We recommend a doctor's diagnosis."

[0174] Figure 11 is a diagram showing an example of the fourth data table 128 that shows the relationship between the combination of variation patterns and advice when there is suspicion of hypolipidemia.

[0175] The fourth data table 128 stores advice corresponding to combinations of the variation pattern of neutral lipid correlation values with the hypolipidemia pattern H suspected of hypolipidemia and each of the patterns A, B, C, and D showing the variation pattern of glucose correlation values.

[0176] When the variation pattern of neutral lipid correlation values is the hypolipidemia pattern H and the variation pattern of glucose correlation values is the normal glucose pattern A, the processor 12 extracts voice data and character data indicating advice 162 from the fourth data table 128.

[0177] In the case of this pattern combination, since hypolipidemia, dietary restrictions, excessive exercise, diseases, or constitutional causes are considered, advice for increasing lipids is given. Also, advice to stop strenuous exercise and replenish nutrients is given.

[0178] Advice 162 is, for example, "Please eat foods containing lipids (fried foods)." and "Please avoid strenuous exercise."

[0179] When the variation pattern of neutral lipid correlation values is the hypolipidemia pattern H and the variation pattern of glucose correlation values is the postprandial hyperglycemia pattern B, the processor 12 extracts voice data and character data indicating advice 164 from the fourth data table 128.

[0180] This pattern combination suspects hypolipidemia and postprandial hyperglycemia, so advice for increasing lipids is given. Also, advice for suppressing the increase in glucose (blood glucose level) is given.

[0181] Advice 164 is, for example, "Please eat foods containing lipids (fried foods)." and "Please refrain from carbohydrates (grains) and sweet things."

[0182] When the variation pattern of the neutral lipid correlation value is the hypolipidemia pattern H and the variation pattern of the glucose correlation value is the diabetes pattern C, the processor 12 extracts voice data and character data indicating advice 166 from the fourth data table 128.

[0183] Since this combination of patterns is an unusual combination, it is known that a doctor's diagnosis is necessary.

[0184] As an example, advice 156 is "It is recommended to consult a doctor."

[0185] When the variation pattern of the neutral lipid correlation value is the hypolipidemia pattern H and the variation pattern of the glucose correlation value is the hypoglycemia pattern D, the processor 12 extracts voice data and character data indicating advice 168 from the fourth data table 128.

[0186] This combination of patterns gives advice to encourage food intake. Also, since anorexia nervosa is suspected, it is informed that a doctor's diagnosis is necessary.

[0187] As an example, advice 168 is "Let's have a meal." and "It is recommended to consult a doctor."

[0188] Then, the processor 12 sets the advice by storing the advice extracted from each of the data tables 122 to 128 in a readable manner in the advice area secured in the storage unit 30 (step SC8), and returns to the advice generation process.

[0189] As shown in FIG. 4, in the advice generation process, the processor 12 executes the overtime advice process (step SB4).

[0190] FIG. 12 is a flowchart showing an example of the overtime advice process according to the first embodiment.

[0191] In this over-time advice process, as shown in FIG. 12, the processor 12 determines whether the current glucose correlation value exceeds a predetermined value which is the first threshold value (step SD2).

[0192] The first threshold value, which is the predetermined value used in the determination of step SD2, is, for example, the same value as the aforementioned first predetermined value 102, and the first threshold value is a glucose value of 180 mg / dL.

[0193] In step SD2, if it is determined that the current glucose correlation value is equal to or less than the predetermined value which is the first threshold value, the process proceeds to step SD6.

[0194] Also, in step SD2, if it is determined that the current glucose correlation value exceeds the predetermined value which is the first threshold value (see X in FIG. 6), the processor 12 generates advice for suppressing the speed of taking meals (step SD4). Specifically, the processor 12 stores, in an advice area secured in the storage unit 30, the voice data and character data indicating "Please lower the speed of taking meals." which are stored in advance in the storage unit 30 in a readable manner.

[0195] Then, the processor 12 determines whether the current neutral fat correlation value exceeds a predetermined value which is the second threshold value (step SD6).

[0196] The second threshold value, which is the predetermined value used in the determination of step SD6, is, for example, the same value as the aforementioned third predetermined value 112, and the second threshold value is a neutral fat value of 250 mg / dL.

[0197] In step SD6, if it is determined that the current neutral fat correlation value is equal to or less than the predetermined value which is the second threshold value (see Y in FIG. 7), the process returns to the advice generation process.

[0198] Also, in step SD6, when it is determined that the current neutral lipid correlation value exceeds a predetermined value which is the second threshold value, the processor 12 generates advice for promoting exercise (step SD8). Specifically, the processor 12 reads and stores in an advice area secured in the storage unit 30 the voice data and character data indicating "Please exercise." which are stored in advance in the storage unit 30 in a readable manner, and returns to the advice generation process.

[0199] Here, in the present embodiment, when the glucose correlation value exceeds a predetermined value which is the first threshold value, advice for suppressing the speed of taking meals is generated. Also, when the neutral lipid correlation value exceeds a predetermined value which is the second threshold value, advice for promoting exercise is generated, but it is not limited thereto.

[0200] As an example, a combination of the variation pattern of the glucose correlation value and the variation pattern of the neutral lipid correlation value may be added to the determination for generating advice.

[0201] A specific example thereof will be described with reference to FIG. 13. FIG. 13 is a diagram showing an example of real-time advice. As shown in FIG. 13, a fifth data table 172 is stored in the storage unit 30.

[0202] When generating advice, the processor 12 determines whether the glucose correlation value exceeds a predetermined value which is the first threshold value when the variation pattern of the glucose correlation value is the postprandial hyperglycemia pattern B and the variation pattern of the neutral lipid correlation value is the neutral lipid normal pattern E.

[0203] The first threshold value which is the predetermined value used in this determination is, as an example, the same value as the first predetermined value 102 described above, and the first threshold value is a glucose value and is 180 mg / dL.

[0204] When the processor 12 determines that the glucose correlation value exceeds a predetermined value which is the first threshold value, the processor 12 extracts advice 174 from the fifth data table 172 and stores it in a readable manner in the advice area. The advice 174 is voice data and character data indicating "Please slow down the speed of taking meals."

[0205] Further, when the variation pattern of the glucose correlation value is the normal glucose pattern A and the variation pattern of the neutral fat correlation value is the postprandial hyperlipidemia pattern F, the processor 12 determines whether or not the current neutral fat correlation value exceeds a predetermined value which is the second threshold value.

[0206] As an example, the second threshold value which is the predetermined value used in this determination is the same value as the aforementioned third predetermined value 112, and the second threshold value is a value of neutral fat and is 250 mg / dL.

[0207] When the processor 12 determines that the current neutral fat correlation value exceeds a predetermined value which is the second threshold value, the processor 12 extracts advice 176 from the fifth data table 172 and stores it in a readable manner in the advice area, and returns to the advice generation process. The advice 176 is voice data and character data indicating "Please exercise."

[0208] Next, in the advice generation process, as shown in FIG. 4, the process returns to the blood component monitoring process.

[0209] In the blood component monitoring process, as shown in FIG. 3, advice is notified (step S10). Specifically, the processor 12 reads the voice data stored in the advice area of the storage unit 30 and outputs it as voice from the notification unit 36. Further, the processor 12 reads the character data stored in the advice area of the storage unit 30 and outputs it as a character display from the display unit 34.

[0210] Here, when the accumulated amount of the glucose correlation value and the accumulated amount of the neutral lipid correlation value have reached predetermined values, and the variation patterns of the glucose correlation value and the neutral lipid correlation value have been determined, advice corresponding to the combination of each variation pattern is stored in the advice area. In this case, the advice is output as voice from the notification unit 36 and also output as character display from the display unit 34.

[0211] On the other hand, when the accumulated amount of the glucose correlation value and the accumulated amount of the neutral lipid correlation value have not reached the predetermined values, the variation patterns of the glucose correlation value and the neutral lipid correlation value are not determined. In this case, the advice corresponding to the combination of each variation pattern is not stored in the advice area.

[0212] However, when the glucose correlation value exceeds a predetermined value which is the first threshold, voice data and character data indicating "Please slow down the speed of taking meals." are stored in the advice area.

[0213] Therefore, at the current time when the glucose correlation value exceeds the predetermined value which is the first threshold, from the notification unit 36, "Please slow down the speed of taking meals." is output as voice. Also, from the display unit 34, "Please slow down the speed of taking meals." is output as character display.

[0214] Also, when the neutral lipid correlation value exceeds a predetermined value which is the second threshold, voice data and character data indicating "Please exercise." are stored in the advice area.

[0215] Therefore, at the current time when the neutral lipid correlation value exceeds the predetermined value which is the second threshold, from the notification unit 36, "Please exercise." is output as voice. Also, from the display unit 34, "Please exercise." is output as character display.

[0216] Then, as an example, based on the operation state of the end button that constitutes the input unit 23, it is determined whether to end the measurement (step S12). In step S12, if it is determined that the end button has not been operated and the measurement is to be continued, the process branches to step S2 to continue the measurement. Also, in step S12, if it is determined that the end button has been operated and the measurement is to be ended, the blood component monitoring process is ended.

[0217] (Function and Effect) Next, the function and effect of the blood component monitoring device 10 will be described.

[0218] The blood component monitoring device 10 in the present embodiment is a blood component monitoring device 10 that monitors blood components. The blood component monitoring device 10 includes a concentration acquisition unit 52 that acquires a glucose correlation value correlated with the blood concentration of glucose and a neutral lipid correlation value correlated with the blood concentration of neutral lipids. The blood component monitoring device 10 includes an information generation unit 54 that generates information regarding the blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to meals.

[0219] According to this configuration, information regarding the blood state is generated based on the variation patterns of the glucose correlation value correlated with the blood concentration of glucose and the neutral lipid correlation value correlated with the blood concentration of neutral lipids.

[0220] Therefore, compared with the case of generating information based only on the blood sugar level, it is possible to comprehensively provide information regarding the blood state that takes into account not only carbohydrates but also other components that vary due to meals.

[0221] For example, when the blood concentration of glucose is high, it includes "when both the blood concentration of glucose and the blood concentration of neutral lipids are high" and "when the blood concentration of glucose is high but the blood concentration of neutral lipids is not high". Therefore, as advice provided when the blood concentration of glucose is high, it is possible to provide appropriate content taking into account the blood concentration of neutral lipids.

[0222] In addition, in the present embodiment, advice is generated as information regarding the blood state based on the variation patterns of a glucose correlation value correlated with the blood glucose level and a neutral lipid correlation value correlated with the blood neutral lipid level. Therefore, advice corresponding to one variation pattern can be finely divided according to the other variation pattern.

[0223] Therefore, it is possible to provide finely classified advice as compared with the case of giving advice based only on the blood carbohydrate level.

[0224] Moreover, since information regarding the blood state is generated using a variation pattern that changes over time instead of information on blood components at a certain point in time, it is possible to provide information regarding the blood state at an appropriate timing according to the variation.

[0225] For example, it is assumed that a threshold is set to determine postprandial hyperglycemia, and a determination is made as to whether the measurement result after a predetermined time is below the threshold. In this case, if a specified value suitable for the determination of postprandial hyperglycemia is used as the threshold, since the time until the blood glucose level drops varies from person to person, it will be regarded as abnormal when the blood glucose level (glucose correlation value) has not yet completely dropped.

[0226] Therefore, if a value higher than the specified value suitable for the determination of postprandial hyperglycemia is used as the threshold, misdetection will frequently occur due to the threshold being set high.

[0227] In addition, the change in the magnitude of lipids (neutral lipid correlation value) over time varies depending on the person or the content of the meal the person has eaten. For example, there are significant differences in the variation pattern of the neutral lipid correlation value correlated with lipids, such as when the peak occurs two hours later or four hours later.

[0228] Therefore, it is difficult to predict the variation pattern (waveform) of the neutral lipid correlation value using the neutral lipid correlation value at a certain point in time. Thus, when information regarding the blood state is generated using the neutral lipid correlation value at a certain point in time, errors may occur in the information.

[0229] In contrast, in the present embodiment, information regarding the blood state is generated using the variation pattern of the neutral lipid correlation value. For this reason, prediction of the variation pattern of the neutral lipid correlation value becomes unnecessary, and it is possible to improve the accuracy of the generated information regarding the blood state.

[0230] Specifically, for example, even if the variation pattern of the glucose correlation value is the postprandial hyperglycemia pattern B, when the variation pattern of the neutral lipid correlation value is the neutral lipid normal pattern E, there is no restriction on lipid intake. Also, even if the variation pattern of the glucose correlation value is the postprandial hyperglycemia pattern B, when the variation pattern of the neutral lipid correlation value is the hypolipidemia pattern H, it is not necessary to suppress lipid intake.

[0231] Here, it is known that lipids have an effect of suppressing the increase in glucose.

[0232] Therefore, in the case of these combinations of variation patterns, by promoting lipid intake, a rapid increase in the glucose value (blood glucose level) can be suppressed.

[0233] Therefore, for users with the postprandial hyperglycemia pattern B, it is possible to suppress a rapid increase in glucose that may occur after a meal.

[0234] Also, in the blood component monitoring device 10 according to the present embodiment, the concentration acquisition unit 52 continuously acquires the glucose correlation value and the neutral lipid correlation value to acquire the changes over time of the glucose correlation value and the neutral lipid correlation value.

[0235] According to this configuration, compared with the case of obtaining the variation pattern of the measurement value and giving advice using the measurement value measured before a meal, the measurement value measured after a meal, and their respective measurement times, appropriate advice can be given.

[0236] Furthermore, in the blood component monitoring device 10 according to the present embodiment, the information generation unit 54 generates information regarding the blood state based on the combination of the variation patterns of the glucose correlation value and the neutral fat correlation value.

[0237] According to this configuration, information regarding the blood state is generated based on the combination of the variation patterns of the glucose correlation value and the neutral fat correlation value. Therefore, it becomes possible to provide a more detailed and appropriate advice as information regarding the blood state, compared to the case of generating advice as information regarding the blood state based on the combination of the measured values measured after a meal.

[0238] Also, in the blood component monitoring device 10 according to the present embodiment, the information generation unit 54 generates information regarding the blood state when at least one of the glucose correlation value and the neutral fat correlation value exceeds a predetermined value.

[0239] According to this configuration, in the process of the glucose correlation value or the neutral fat correlation value changing, advice as information regarding the blood state can be provided when the glucose correlation value or the neutral fat correlation value exceeds the predetermined value.

[0240] Furthermore, in the blood component monitoring device 10 according to the present embodiment, the information generation unit 54 generates information regarding the blood state of matters related to meals when the glucose correlation value exceeds a first threshold value.

[0241] According to this configuration, in the process of the glucose correlation value changing, advice as information regarding the blood state of matters related to meals can be provided when the first threshold value is exceeded.

[0242] Also, in the blood component monitoring device 10 according to the present embodiment, the information generation unit 54 generates information regarding the blood state for suppressing the speed of taking meals when the glucose correlation value exceeds the first threshold value.

[0243] According to this configuration, in the process of the glucose correlation value fluctuating, when the glucose correlation value exceeds the first threshold value, advice can be given as information on the blood state for suppressing the speed of eating. By this advice, for example, a rapid increase in glucose can be suppressed.

[0244] Furthermore, in the blood component monitoring device 10 in the present embodiment, when the neutral lipid correlation value exceeds the second threshold value, the information generation unit 54 generates advice for promoting exercise among the information on the blood state.

[0245] According to this configuration, in the process of the neutral lipid correlation value fluctuating, when the neutral lipid correlation value exceeds the second threshold value, advice for promoting exercise can be given. By this advice, for example, an increase in neutral lipids can be suppressed.

[0246] In the present embodiment, the case where the blood component monitoring device 10 includes each of the above-described units has been described, but the present invention is not limited thereto. For example, as shown in the second embodiment, each unit may be configured by different devices.

[0247] <Second Embodiment> Hereinafter, a blood component monitoring system according to the second embodiment will be described. Regarding the same or equivalent parts as those in the first embodiment, the same reference numerals will be given and the description thereof will be omitted, and only the different parts will be described.

[0248] The blood component monitoring system according to the second embodiment is configured by a plurality of devices. Each device includes a concentration acquisition unit 52, an information generation unit 54, a combination advice unit 56, an over-time advice unit 58, a meal speed advice unit 60, and an exercise promotion advice unit 62. And, as a whole for each device, each unit is configured.

[0249] As an example, a concentration acquisition unit 52 that acquires a glucose correlation value correlated with the blood glucose concentration and a neutral lipid correlation value correlated with the blood neutral lipid concentration is configured by a measuring device worn by the user.

[0250] In addition, an information generation unit 54, a combination advice unit 56, an over-time advice unit 58, a meal speed advice unit 60, and an exercise promotion advice unit 62 are configured by a terminal device used by the user.

[0251] As an example, the terminal device acquires, by wireless communication, from the measuring device a glucose correlation value correlated with the blood glucose concentration and a neutral lipid correlation value correlated with the blood neutral lipid concentration acquired by the concentration acquisition unit 52, and generates advice.

[0252] Thus, even in the blood component monitoring system configured by the measuring device and the terminal device, the same operational effects as those of the first embodiment can be achieved.

[0253] As described above, the embodiments of the present invention have been described. However, the above embodiments merely show a part of the application examples of the present invention, and are not intended to limit the technical scope of the present invention to the specific configurations of the above embodiments.

Explanation of Reference Numerals

[0254] 10 Blood component monitoring device 12 Processor 14 Measuring unit 30 Storage unit 52 Concentration acquisition unit 54 Information generation unit 56 Combination advice unit 58 Over-time advice unit 60 Meal speed advice unit 62 Exercise promotion advice unit 102 First predetermined value 104 Second predetermined value 112 Third predetermined value 114 Fourth predetermined value Advice for 132, 134, 136, 138, 142, 144, 146, 148, 152, 154, 156, 158, 162, 164, 166, 168, 174, 176 A Normal glucose pattern B Postprandial hyperglycemia pattern C Diabetes pattern D Hypoglycemia pattern E Normal neutral lipid pattern F Postprandial hyperlipidemia pattern G Hyperlipidemia pattern H Hypolipidemia pattern

Claims

1. A blood component monitoring device for monitoring blood components, a concentration acquisition unit that acquires a glucose correlation value correlated with the blood concentration of glucose and a neutral lipid correlation value correlated with the blood concentration of neutral lipids; a processing unit that generates information regarding the blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to diet, wherein the information includes advice regarding the glucose and advice regarding the neutral lipids, and the processing unit determines, based on a combination of the variation patterns of the glucose correlation value and the neutral lipid correlation value, the priorities of the advice regarding the glucose and the advice regarding the neutral lipids. Blood component monitoring device.

2. The blood component monitoring device according to Claim 1, wherein the concentration acquisition unit continuously acquires the glucose correlation value and the neutral lipid correlation value to obtain the changes over time of the glucose correlation value and the neutral lipid correlation value. Blood component monitoring device.

3. The blood component monitoring device according to Claim 1 or Claim 2, wherein the processing unit generates information regarding the blood state based on a combination of the variation patterns of the glucose correlation value and the neutral lipid correlation value. Blood component monitoring device.

4. The blood component monitoring device according to any one of Claims 1 to 3, wherein the processing unit generates information regarding the blood state when at least one of the glucose correlation value and the neutral lipid correlation value exceeds a predetermined value. Blood component monitoring device.

5. The blood component monitoring device according to any one of Claims 1 to 4, wherein the processing unit generates information regarding the blood state regarding matters related to diet when the glucose correlation value exceeds a first threshold value. Blood component monitoring device.

6. The blood component monitoring device according to Claim 5, wherein the processing unit generates information regarding the blood state for suppressing the speed of taking food when the glucose correlation value exceeds the first threshold value. Blood component monitoring device.

7. The blood component monitoring device according to any one of Claims 1 to 6, wherein the processing unit generates advice for promoting exercise among the information regarding the blood state when the neutral lipid correlation value exceeds a second threshold value. Blood component monitoring device.

8. A program for causing a processor that monitors blood components to execute a concentration acquisition procedure for acquiring a glucose correlation value correlated with the blood concentration of glucose and a neutral lipid correlation value correlated with the blood concentration of neutral lipids, and a processing procedure for generating information regarding the blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to diet, wherein the information includes advice regarding the glucose and advice regarding the neutral lipids, and the processing procedure determines the priorities of the advice regarding the glucose and the advice regarding the neutral lipids based on the combination of the temporal variation patterns of the glucose correlation value and the neutral lipid correlation value, Blood component monitoring program.

9. A blood component monitoring system having a plurality of devices for monitoring blood components, comprising a concentration acquisition unit that acquires a glucose correlation value correlated with the blood concentration of glucose and a neutral lipid correlation value correlated with the blood concentration of neutral lipids, and a processing unit that generates information regarding the blood state based on the variation patterns of the glucose correlation value and the neutral lipid correlation value due to diet, wherein the information includes advice regarding the glucose and advice regarding the neutral lipids, and the processing unit determines the priorities of the advice regarding the glucose and the advice regarding the neutral lipids based on the combination of the temporal variation patterns of the glucose correlation value and the neutral lipid correlation value, Blood component monitoring system.

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