Skin state estimation method, skin state estimation device, and program

Abstract

The present invention improves the accuracy of skin state estimation. The skin state estimation method includes a step of estimating at least one of a current skin state and a future skin state of a subject on the basis of a plasma component in blood.

Description

Technical Field

[0001] The present invention relates to a method for estimating skin condition, a skin condition estimating apparatus, and a program. Background Art

[0002] For consumers of skin care products, knowing their own skin condition is important in determining the success of skin care.

[0003] Various techniques for estimating skin condition are known.

[0004] For example, Japanese Patent Application Laid-Open No. 2019-025071 discloses a skin condition evaluation method. The skin condition evaluation method includes: an acquisition step (S11) of acquiring blood flow information of the facial skin of a subject; and an evaluation step (S13) of evaluating the skin condition of the face of the subject based on the acquired blood flow information. The blood flow information includes a blood flow index value, and the blood flow index value is obtained from a light intensity image obtained by irradiating the skin with a laser and photographing scattered light. Summary of the Invention

[0005] Problems to be Solved by the Invention

[0006] However, the technique of Japanese Patent Application Laid-Open No. 2019-025071 is a technique for estimating skin condition using an optical method.

[0007] In the case of an optical method, since the living body itself is not a sample and is affected by the measurement environment (for example, ambient light), the accuracy of skin condition estimation is limited.

[0008] An object of the present invention is to improve the accuracy of skin condition estimation.

[0009] Technical Means for Solving the Problems

[0010] One technical means of the present invention is a skin condition estimation method including a step of estimating at least one of the current skin condition and the future skin condition of a subject based on plasma components in blood. Brief Description of the Drawings

[0011] Figure 1 is a functional block diagram showing the configuration of the skin condition estimating apparatus of the present embodiment.

[0012] Figure 2 is an explanatory diagram of the outline of the present embodiment.

[0013] Figure 3 is a diagram showing the data structure of the subject database of the present embodiment.

[0014] Figure 4It is a diagram showing the data structure of the measurement log database of the present embodiment.

[0015] Figure 5 It is a flowchart of the skin condition estimation process of the present embodiment.

[0016] Figure 6 It is a diagram showing Figure 5 an example of a screen displayed in the information processing of

[0017] Figure 7 It is an explanatory diagram of the outline of Modification 1.

[0018] Figure 8 It is a flowchart of the skin condition estimation process of the present embodiment.

[0019] Figure 9 It is a diagram showing Figure 8 an example of a screen displayed in the information processing of

[0020] Figure 10 It is an explanatory diagram of the outline of Modification 2.

[0021] Figure 11 It is a flowchart of the skin condition estimation process of Modification 2.

[0022] Figure 12 It is an explanatory diagram of the outline of Modification 3.

[0023] Figure 13 It is a functional block diagram of the skin condition estimation system of Modification 3.

[0024] Figure 14 It is a timing diagram of the skin condition estimation process of Modification 3.

[0025] Figure 15 It is an explanatory diagram of the outline of Modification 4.

[0026] Figure 16 It is a timing diagram of the skin condition estimation process of Modification 4.

[0027] Figure 17 It is a diagram showing Figure 16 an example of a screen displayed in the information processing of

[0028] Figure 18 It is an explanatory diagram of the outline of Modification 5.

[0029] Figure 19 It is a timing diagram of the skin condition estimation process of Modification 5. Detailed implementation mode

[0030] Hereinafter, based on the accompanying drawings, an embodiment of the present invention will be described in detail. In addition, in the drawings for explaining the embodiment, the same reference numerals are generally assigned to the same constituent elements, and redundant explanations thereof are omitted.

[0031] Each term in this embodiment is defined as follows.

[0032] "User" refers to a person who uses the skin condition estimation device (for example, a subject, a person in charge of an operator providing skin condition estimation services, or an inspector (a person responsible for conducting inspections)).

[0033] "Subject" refers to a person who undergoes an examination of plasma components in the blood and is the object of skin condition estimation.

[0034] "Inspector" refers to a person who measures the plasma components in the blood of a subject (for example, a doctor or a medical technician in an inspection institution, or a medical technician of an operator providing skin condition estimation services).

[0035] "Inspection institution" refers to an institution that measures the plasma components in the blood of a subject (as an example, a clinic or a hospital).

[0036] (1) Configuration of the skin condition estimation device

[0037] The configuration of the skin condition estimation device will be described. Figure 1 It is a functional block diagram showing the configuration of the skin condition estimation device of this embodiment.

[0038] Figure 1 The skin condition estimation device 10 is a computer (an example of an "information processing device") that executes skin condition estimation processing. The skin condition estimation device 10 is, for example, a smart phone, a tablet terminal, or a personal computer.

[0039] As Figure 1 shown, the skin condition estimation device 10 includes a storage device 11, a processor 12, an input / output interface 13, and a communication interface 14.

[0040] The storage device 11 is configured to store programs and data. The storage device 11 is, for example, a combination of a ROM (Read Only Memory), a RAM (Random Access Memory), and a storage device (for example, a flash memory or a hard disk).

[0041] The programs include, for example, the following programs.

[0042] · A program of an OS (Operating System)

[0043] ·Parameters, functions, and models used in information processing

[0044] ·Program of an APP (application program) that performs information processing (e.g., skin condition estimation processing)

[0045] The data includes, for example, the following data.

[0046] ·Database referred to in information processing

[0047] ·Data obtained by performing information processing (i.e., the execution result of information processing)

[0048] The processor 12 is configured to implement the functions of the skin condition estimation device 10 by starting the program stored in the storage device 11. The processor 12 is, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof.

[0049] The input / output interface 13 is configured to obtain a user's instruction from an input device connected to the skin condition estimation device 10 and output information to an output device connected to the skin condition estimation device 10.

[0050] The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.

[0051] The output device is, for example, a display.

[0052] The communication interface 14 is configured to control communication between the skin condition estimation device 10 and an external device (e.g., a server).

[0053] (2) Summary of the embodiment

[0054] The summary of this embodiment will be described. Figure 2 This is an explanatory diagram of the summary of this embodiment.

[0055] Figure 2 The user of this is, for example, an inspector (as an example, a physician or a technician of an inspection agency).

[0056] As Figure 2 shown, the subject hands over their own blood collection sample (blood sample) to the user.

[0057] The user performs an examination of the blood collection sample and measures (an example of "acquisition") the plasma component in the blood of the subject.

[0058] The user inputs the measurement result of the plasma component in the blood of the subject into the skin condition estimation device 10.

[0059] Based on the input measurement result, the skin condition estimation device 10 estimates the skin condition of the subject.

[0060] The user notifies the subject of the estimation result of the skin condition estimation device 10 (that is, the skin condition of the subject).

[0061] (3) Database

[0062] The database of the present embodiment will be described. The following database is stored in the storage device 11.

[0063] (3-1) Subject Database

[0064] The subject database of the present embodiment will be described. Figure 3 It is a diagram showing the data structure of the subject database of the present embodiment.

[0065] In Figure 3 the subject database, subject information is stored. The subject information is information related to the subject.

[0066] The subject database includes a "subject ID" field, a "subject name" field, a "subject attribute" field, and a "subject body" field. Each field is associated with each other.

[0067] Subject identification information is stored in the "subject ID" field. The subject identification information is information for identifying the subject.

[0068] Subject name information is stored in the "subject name" field. The subject name information is information related to the name of the subject.

[0069] Subject attribute information is stored in the "subject attribute" field. The subject attribute information is information related to the attributes of the subject. The "subject attribute" field includes a "gender" field and an "age" field.

[0070] Gender information is stored in the "gender" field. The gender information is information related to the gender of the subject.

[0071] Age information is stored in the "age" field. The age information is information related to the age of the subject.

[0072] Store subject body information in the "Subject Body" field. The subject body information is information related to the subject's body. The "Subject Body" field includes a "Height" field, a "Weight" field, and a "BMI" field.

[0073] Store height information in the "Height" field. The height information is information related to the subject's height.

[0074] Store weight information in the "Weight" field. The weight information is information related to the subject's weight.

[0075] Store BMI information in the "BMI" field. The BMI information is information related to the subject's BMI (Body Mass Index). The BMI information is determined based on a combination of the height information and the weight information.

[0076] (3-2) Measurement Log Database

[0077] Describe the measurement log database of the present embodiment. Figure 4 It is a diagram showing the data structure of the measurement log database of the present embodiment.

[0078] In Figure 4 the measurement log database, measurement log information is stored. The measurement log information is information related to the history of the results of the measurements performed on the subject.

[0079] The measurement log database includes a "Measurement Log ID" field, a "Timestamp" field, and a "Plasma Component" field. Each field is associated with each other.

[0080] The measurement log database is associated with the subject identification information.

[0081] Store measurement log identification information in the "Measurement Log ID" field. The measurement log identification information is information used to identify the measurement log.

[0082] Store timestamp information in the "Timestamp" field. The timestamp information is information related to the date and time when the measurement was performed.

[0083] Store plasma component information in the "Plasma Component" field. The plasma component information is information related to the plasma components in the blood obtained from the blood test performed on the subject. The plasma components in the blood are at least one of nutrients, enzymes, and nutrition metabolism-related components. The "Plasma Component" field includes a "Nutrient" field, an "Enzyme" field, and a "Nutrition Metabolism-Related Component" field.

[0084] Store nutrient information in the "Nutrient" field. The nutrient information is information related to the nutrients contained in the blood of the subject. The "Nutrient" field includes a "Fat-soluble Vitamin" field, a "Water-soluble Vitamin" field, and a "Mineral" field.

[0085] Store fat-soluble vitamin information in the "Fat-soluble Vitamin" field. The fat-soluble vitamin information is information related to the fat-soluble vitamins contained in the blood of the subject. The fat-soluble vitamins include, for example, at least one of the following.

[0086] · Vitamin A

[0087] · Vitamin D

[0088] · β-Carotene

[0089] Store water-soluble vitamin information in the "Water-soluble Vitamin" field. The water-soluble vitamin information is information related to the water-soluble vitamins contained in the blood of the subject. The water-soluble vitamins include, for example, at least one of the following.

[0090] · Niacin

[0091] · Folic acid

[0092] Store mineral information in the "Mineral" field. The mineral information is information related to the minerals contained in the blood of the subject. The minerals include, for example, at least one of the following.

[0093] · Potassium

[0094] · Zinc

[0095] · Calcium

[0096] Store enzyme information in the "Enzyme" field. The enzyme information is information related to the enzymes contained in the blood of the subject. The enzymes include, for example, at least one of the following.

[0097] · γ-GTP (γ-Glutamyl transpeptidase)

[0098] · AST (Aspartate aminotransferase)

[0099] · ALT (Alanine aminotransferase)

[0100] · ChE (Cholinesterase)

[0101] Store information on nutrients-related metabolic components in the "Nutrient Metabolism-related Component" field. The information on nutrients-related metabolic components is information related to the nutrients-related metabolic components contained in the blood of the subject. The nutrients-related metabolic components include, for example, at least one of the following.

[0102] · Albumin (Transport protein)

[0103] · Globulin (defense protein)

[0104] · RBP (retinol-binding protein, transport protein)

[0105] · Hemoglobin (transport protein)

[0106] · Transferrin (transport protein)

[0107] · CRP (C-reactive protein)

[0108] · Pentosidine (glycometabolite)

[0109] · Glycated hemoglobin A1C (glycoprotein)

[0110] · Glycated albumin (glycoprotein)

[0111] · 1.5AG (glucose derivative)

[0112] · BUN (protein metabolite)

[0113] (4) Skin model

[0114] The skin model of this embodiment will be described.

[0115] In this embodiment, a skin model is used to estimate the skin condition.

[0116] The skin model includes a future skin model and a current skin model.

[0117] (4-1) Future skin model

[0118] The future skin model of this embodiment will be described.

[0119] In the future skin model, the correlation between the plasma components in the blood and the future skin condition is described.

[0120] The future skin condition means the skin condition at a time point later than the measurement time point of the plasma components in the blood.

[0121] The explanatory variable (explanatory variable) of the future skin model is the plasma component in the blood.

[0122] The target variable (response variable) of the future skin model is the future skin condition.

[0123] The future skin model differs according to each index of the future skin condition.

[0124] The indexes of the future skin condition include, for example, at least one of the following.

[0125] · Degree of skin glycation

[0126] · a* value of the skin in the a* (L*a*b* color space)

[0127] · b* value of the skin in the b* (L*a*b* color space)

[0128] · Moisture content of the stratum corneum of the skin

[0129] · Chroma of the skin

[0130] · Skin spots (blemishes)

[0131] · Hemoglobin oxygen saturation of the skin

[0132] · Hemoglobin of the skin

[0133] · Elasticity of the skin

[0134] · Length of capillaries in the skin

[0135] The glycation degree of the skin is affected by vitamin D.

[0136] The a* of the skin is affected by vitamin D, niacin, zinc, and calcium.

[0137] The b* of the skin is affected by β-carotene.

[0138] The moisture content of the stratum corneum of the skin is affected by vitamin A, niacin, folic acid, and zinc.

[0139] The chroma of the skin is affected by β-carotene and zinc.

[0140] Skin spots are affected by β-carotene.

[0141] The hemoglobin oxygen saturation of the skin is affected by β-carotene.

[0142] The hemoglobin of the skin is affected by niacin, zinc, and calcium.

[0143] The elasticity of the skin is affected by potassium.

[0144] The length of capillaries in the skin is affected by niacin.

[0145] (4-1-1) Future skin model using fat-soluble vitamins

[0146] The future skin model using fat-soluble vitamins of this embodiment will be described.

[0147] In the future skin model with the glycation degree of the skin as the target variable, for example, the weight of the concentration of vitamin D in the explanatory variables is large. According to the future skin model, the higher the concentration of vitamin D, the lower the glycation degree of the skin is presumed to be.

[0148] In a future skin model with the a* of the skin as the target variable, for example, the weight of the concentration of vitamin D in the explanatory variables is large. According to the future skin model, the higher the concentration of vitamin D, the higher the a* of the skin is presumed to be.

[0149] In a future skin model with the water content of the stratum corneum of the skin as the target variable, for example, the weight of the concentration of vitamin A in the explanatory variables is large. According to the future skin model, the higher the concentration of vitamin A, the higher the water content of the stratum corneum of the skin is presumed to be.

[0150] In a future skin model with the water content of the stratum corneum of the cheek as the target variable, for example, the weight of the concentration of vitamin A in the blood in the explanatory variables is large. According to the future skin model, the higher the concentration of vitamin A in the blood, the higher the water content of the stratum corneum of the cheek is presumed to be.

[0151] In a future skin model with the b* of the skin as the target variable, for example, the weight of β-carotene in the explanatory variables is large. According to the future skin model, the more β-carotene there is, the higher the b* of the skin is presumed to be.

[0152] In a future skin model with the chroma of the skin as the target variable, for example, the weight of β-carotene in the explanatory variables is large. According to the future skin model, the more β-carotene there is, the higher the chroma of the skin is presumed to be.

[0153] In a future skin model with skin spots as the target variable, for example, the weight of β-carotene in the explanatory variables is large. According to the future skin model, the more β-carotene there is, the fewer skin spots are presumed to be.

[0154] In a future skin model with the hemoglobin oxygen saturation of the skin as the target variable, for example, the weight of β-carotene in the explanatory variables is large. According to the future skin model, the more β-carotene there is, the higher the hemoglobin oxygen saturation of the skin is presumed to be.

[0155] (4-1-2) Future skin model using water-soluble vitamins

[0156] The future skin model using water-soluble vitamins of the present embodiment will be described.

[0157] In a future skin model with the water content of the stratum corneum of the skin as the target variable, for example, the weights of niacin and folic acid in the explanatory variables are large. According to the future skin model, the more niacin and folic acid there are, the higher the water content of the stratum corneum of the skin is presumed to be.

[0158] In a future skin model with the a* of the skin as the target variable, for example, the weight of niacin in the explanatory variables is large. According to the future skin model, the more niacin there is, the higher the a* of the skin is presumed to be.

[0159] In a future skin model with the hemoglobin of the skin as the target variable, for example, the weight of niacin in the explanatory variables is large. According to the future skin model, the more niacin there is, the higher the hemoglobin of the skin is presumed to be.

[0160] In a future skin model with the length of the capillaries in the skin as the target variable, for example, the weight of niacin in the explanatory variables is large. According to the future skin model, the more niacin there is, the longer the length of the capillaries in the skin is presumed to be.

[0161] (4-1-3) Future skin model using minerals

[0162] The future skin model using minerals of the present embodiment will be described.

[0163] In a future skin model with the elasticity of the skin as the target variable, for example, the weight of potassium in the explanatory variables is large. According to the future skin model, the more potassium there is, the higher the elasticity of the skin is presumed to be.

[0164] In a future skin model with the water content of the stratum corneum of the skin as the target variable, for example, the weight of zinc in the explanatory variables is large. According to the future skin model, the more zinc there is, the higher the water content of the stratum corneum of the skin is presumed to be.

[0165] In a future skin model with the chroma of the skin as the target variable, for example, the weight of zinc in the explanatory variables is large. According to the future skin model, the more zinc there is, the higher the chroma of the skin is presumed to be.

[0166] In a future skin model with the a* of the skin as the target variable, for example, the weights of zinc and calcium in the explanatory variables are large. According to the future skin model, the more zinc and calcium there are, the higher the a* of the skin is presumed to be.

[0167] In a future skin model with the hemoglobin of the skin as the target variable, for example, the weights of zinc and calcium in the explanatory variables are large. According to the future skin model, the more zinc and calcium there are, the higher the hemoglobin of the skin is presumed to be.

[0168] (4-2) Current skin model

[0169] The current skin model of the present embodiment will be described.

[0170] In the current skin model, the correlation between the plasma components in the blood and the current skin state is described.

[0171] The current skin state means the skin state at the measurement time point of the plasma components in the blood.

[0172] The explanatory variables of the current skin model are the plasma components in the blood.

[0173] The target variable of the current skin model is the current skin state.

[0174] The current skin model varies according to each index of the current skin state.

[0175] The indices of the current skin state are the same as those of the future skin state.

[0176] (5) Skin state estimation process

[0177] The skin state estimation process of this embodiment will be described. Figure 5 It is a flowchart of the skin state estimation process of this embodiment. Figure 6 It is shown in Figure 5 a diagram of an example of a screen displayed in the information processing.

[0178] Figure 5 The trigger of

[0179] · The user starts a predetermined APP (e.g., an APP for estimating skin state) of the skin state estimation device 10.

[0180] · The user accesses a predetermined website (e.g., a website providing a service for estimating skin state) using the skin state estimation device 10.

[0181] As Figure 5 shown, the skin state estimation device 10 executes acquisition of measurement results (S1110).

[0182] Specifically, the processor 12 displays the screen P1110 ( Figure 6 ) on the display.

[0183] The screen P1110 includes an operation object B1110 and field objects F1110a to F1110b.

[0184] The operation object B1110 is an object that accepts a user instruction for determining an input to the field objects F1110a to F1110b.

[0185] The field object F1110a is an object that accepts an input of subject identification information.

[0186] The field object F1110b is an object that accepts an input of the measurement log information of the subject.

[0187] When the user inputs subject identification information to the field object F1110a, inputs the measurement log information of the subject to the field object F1110b, and operates the operation object B1110, the processor 12 stores the subject identification information and the measurement log information in the storage device 11.

[0188] After step S1110, the skin condition estimation device 10 estimates the future skin condition (S1111).

[0189] Specifically, a future skin model is stored in the storage device 11.

[0190] The processor 12 estimates the future skin condition of the subject corresponding to the plasma components in the blood by providing the measurement result input to the field object F1110b in step S1110 to the future skin model.

[0191] After step S1111, the skin condition estimation device 10 estimates the current skin condition (S1112).

[0192] Specifically, a current skin model is stored in the storage device 11.

[0193] The processor 12 estimates the current skin condition (i.e., the time point when step S1112 is executed) of the subject corresponding to the plasma components in the blood by providing the measurement result input to the field object F1110b in step S1110 to the current skin model.

[0194] After step S1112, the skin condition estimation device 10 updates the database (S1113).

[0195] Specifically, the processor 12 adds a new record to the measurement log database ( Figure 4 ) associated with the subject identification information obtained in step S1110. The following information is stored in each field of the new record.

[0196] · "Measurement log ID" field: New measurement log identification information

[0197] · "Timestamp" field: Information related to the execution date and time of step S1110

[0198] · "Plasma components" field: Measurement log information obtained in step S1110

[0199] After step S1113, the skin condition estimation device 10 displays the estimation result (S1114).

[0200] Specifically, the processor 12 displays the screen P1111 ( Figure 6 ) on the display.

[0201] The screen P1111 includes display objects A1111a to A1111b.

[0202] The display object A1111a is an object that displays the estimated result of the future skin state obtained in step S1111.

[0203] The display object A1111b is an object that displays the estimated result of the current skin state obtained in step S1112.

[0204] (6) Summary of this embodiment

[0205] According to this embodiment, at least one of the current skin state and the future skin state of the subject is estimated based on the plasma components in the blood. Thereby, the accuracy of skin state estimation can be improved.

[0206] (7) Variation

[0207] A variation of this embodiment will be described.

[0208] (7-1) Variation 1

[0209] A variation 1 of this embodiment will be described. Variation 1 is an example of providing a suggestion based on the estimated result of the skin state.

[0210] (7-1-1) Outline of Variation 1

[0211] The outline of Variation 1 will be described. Figure 7 It is an explanatory diagram of the outline of Variation 1.

[0212] Figure 7 The user of [] is, for example, an inspector (as an example, a doctor or a technician in an inspection institution).

[0213] As Figure 7 shown, the subject hands over his / her own blood collection sample to the user.

[0214] The user conducts an inspection of the blood collection sample and measures the plasma components in the subject's blood.

[0215] The user inputs the measurement result of the plasma components in the subject's blood into the skin state estimation device 10.

[0216] The skin state estimation device 10 estimates the skin state of the subject based on the input measurement result and determines a suggestion corresponding to the skin state.

[0217] (7-1-2) Skin state estimation process of Variation 1

[0218] The skin state estimation process of Variation 1 will be described. Figure 8 It is a flowchart of the skin state estimation process of this embodiment. Figure 9 It is a diagram showing Figure 8 an example of the screen displayed in the information processing of [].

[0219] As Figure 8 shown, the skin condition estimation device 10 performs the acquisition of measurement results (S1110) to the estimation of the current skin condition (S1112) in the same manner as Figure 5 the same.

[0220] After step S1112, the skin condition estimation device 10 generates a recommendation (S2110).

[0221] Specifically, a recommendation model is stored in the storage device 11.

[0222] In the first example of the recommendation model, the correlation between the future skin condition and the recommendation is described.

[0223] The explanatory variable of the recommendation model is the future skin condition.

[0224] The target variable of the recommendation model is the recommendation. The recommendation includes, for example, at least one of the following.

[0225] · Plasma components in the blood that are factors affecting the future skin condition

[0226] · Measures for improving the future skin condition (as an example, measures for improving plasma components in the blood)

[0227] The processor 12 generates a recommendation corresponding to the future skin condition by providing the future skin condition obtained in step S1111 to the recommendation model.

[0228] In the second example of the recommendation model, the correlation between the current skin condition and the recommendation is described.

[0229] The explanatory variable of the recommendation model is the current skin condition.

[0230] The target variable of the recommendation model is the recommendation. The recommendation includes, for example, at least one of the following.

[0231] · Plasma components in the blood that are factors affecting the current skin condition

[0232] · Measures for improving the current skin condition (as an example, measures for improving plasma components in the blood)

[0233] The processor 12 generates a recommendation corresponding to the current skin condition by providing the current skin condition obtained in step S1112 to the recommendation model.

[0234] In the third example of the recommendation model, the correlation between the future skin condition and the current skin condition and the recommendation is described.

[0235] The explanatory variables of the recommendation model are the future skin condition and the current skin condition.

[0236] The target variable of the recommendation model is the recommendation.

[0237] The processor 12 generates a recommendation corresponding to the combination of the future skin condition and the current skin condition by providing the future skin condition obtained in step S1111 and the current skin condition obtained in step S1112 to the recommendation model.

[0238] The processor 12 generates a recommendation corresponding to the current skin condition by providing the current skin condition obtained in step S1112 to the recommendation model.

[0239] In the fourth example of the recommendation model, the correlation between the change in the measurement result of the plasma component in the blood and the recommendation is described.

[0240] The explanatory variable of the recommendation model is the change in the measurement result of the plasma component in the blood.

[0241] The target variable of the recommendation model is the recommendation.

[0242] The processor 12 obtains measurement log information (i.e., past measurement log information) from the "plasma component" field of the measurement log database ( Figure 4 ) associated with the subject identification information obtained in step S1110.

[0243] The processor 12 determines the difference in the plasma component in the blood by comparing the measurement log information (i.e., past measurement log information) with the measurement log information (i.e., the latest measurement log information) obtained in step S1110.

[0244] The processor 12 generates a recommendation corresponding to the determined difference (i.e., the change in the plasma component in the blood) by providing the determined difference to the recommendation model.

[0245] After step S2110, the skin condition estimation device 10 Figure 5 Similarly performs the update of the database (S1113).

[0246] After step S1113, the skin condition estimation device 10 performs the display of the estimation result (S2111).

[0247] Specifically, the processor 12 displays the screen P2110 ( Figure 6 ) on the display after the screen P1111 ( Figure 9 ).

[0248] The screen P2110 includes the display object A2110.

[0249] The display object A2110 displays the advice obtained in step S2110.

[0250] (7-1-3) Summary of Modification Example 1

[0251] According to Modification Example 1, advice can also be generated based on the estimation result of the skin condition. Thereby, factors affecting the skin condition can be conveyed, and improvement corresponding to the skin condition can be encouraged.

[0252] (7-2) Modification Example 2

[0253] Modification Example 2 of the present embodiment will be described. Modification Example 2 is an example of estimating the skin condition based on a combination of the measurement result of the plasma components in the blood and additional information other than the plasma components in the blood.

[0254] (7-2-1) Outline of Modification Example 2

[0255] The outline of Modification Example 2 will be described. Figure 10 It is an explanatory diagram of the outline of Modification Example 2.

[0256] Figure 10 The user is, for example, an inspector (as an example, a doctor or a technician in an inspection institution).

[0257] As Figure 10 shown, the subject gives his / her own blood collection sample to the user.

[0258] In the storage device 11, the subject identification information of the subject and the additional information are stored in association with each other.

[0259] The additional information includes, for example, at least one of the following.

[0260] · Attribute information

[0261] · Body information

[0262] · Environmental log information (for example, information representing the history of at least one of the temperature, humidity, and ultraviolet radiation amount in the environment where the subject lives)

[0263] · Life log information (for example, information representing at least one of the nutrient intake, sleep time, stress level, and exercise habit of the subject)

[0264] · Genetic information (for example, information related to VB2 metabolism, folic acid metabolism, vitamin B6 metabolism, vitamin B12 metabolism, vitamin A metabolism, vitamin D metabolism, and vitamin E metabolism)

[0265] The user performs an examination of the blood collection sample and measures the plasma components in the blood of the subject.

[0266] The user inputs the measurement result of the plasma components in the blood of the subject and the subject identification information into the skin condition estimation device 10.

[0267] Based on the combination of the input measurement result and the additional information stored in association with the input subject identification information, the skin condition estimation device 10 estimates the skin condition of the subject.

[0268] (7-2-2) Skin model of Modification 2

[0269] The skin model of Modification 2 will be described. The following skin model is applicable to both future skin models and current skin models.

[0270] In the first example of the skin model of Modification 2, the correlation between the combination of plasma components and attribute information in the blood and the skin condition is described.

[0271] The explanatory variables of the skin model are plasma components and attribute information in the blood.

[0272] The target variable of the skin model is the skin condition.

[0273] For example, in the case where the attribute information as the explanatory variable of the skin model is age, it is preferably applied to an example where the following skin conditions are used as the target variables.

[0274] · Degree of glycation

[0275] · Age spots

[0276] · Hemoglobin oxygen saturation

[0277] In the second example of the skin model of Modification 2, the correlation between the combination of plasma components and body information in the blood and the skin condition is described.

[0278] The explanatory variables of the skin model are plasma components and body information in the blood.

[0279] The target variable of the skin model is the skin condition.

[0280] For example, in the case where the body information as the explanatory variable of the skin model is BMI information, it is preferably applied to an example where the following skin conditions are used as the target variables.

[0281] · a*

[0282] · b*

[0283] · Chroma

[0284] · Hemoglobin oxygen saturation

[0285] · Hemoglobin

[0286] · Length of capillaries

[0287] · Elasticity

[0288] In the third example of the skin model of Modification 2, the correlation between the combination of plasma components in blood and environmental log information and the skin state is described.

[0289] The explanatory variables of the skin model are plasma components in blood and environmental log information.

[0290] The target variable of the skin model is the skin state.

[0291] For example, in the case where the environmental log information as an explanatory variable of the third example of the skin model is ultraviolet ray information, it is preferably applied to an example having the following skin state as the target variable.

[0292] · Degree of skin glycation

[0293] · a* of skin

[0294] · b* of skin

[0295] · Chroma of skin

[0296] · Skin spots

[0297] · Elasticity of skin

[0298] In the fourth example of the skin model of Modification 2, the correlation between the combination of plasma components in blood and life log information and the skin state is described.

[0299] The explanatory variables of the skin model are plasma components in blood and life log information.

[0300] The target variable of the skin model is the skin state.

[0301] For example, in the case where the life log information as an explanatory variable of the fourth example of the skin model is the nutrient intake of the subject, it is preferably applied to an example having the following skin state as the target variable.

[0302] · a* of skin

[0303] · b* of skin

[0304] · Hemoglobin of skin

[0305] · Hemoglobin oxygen saturation of skin

[0306] · Moisture content of stratum corneum of skin

[0307] · Elasticity of skin

[0308] · Skin spots

[0309] · Degree of skin glycation

[0310] For example, in the case where the life log information as an explanatory variable is the stress of the subject for the 4th case of the skin model, it is preferably applied to an example where the following skin states are used as target variables.

[0311] · Cutaneous horny layer moisture content

[0312] · Skin elasticity

[0313] · Skin age spots

[0314] · Degree of skin glycation

[0315] For example, in the case where the life log information as an explanatory variable is the exercise of the subject for the 4th case of the skin model, it is preferably applied to an example where the following skin states are used as target variables.

[0316] · Cutaneous horny layer moisture content

[0317] · Skin elasticity

[0318] · Degree of skin glycation

[0319] For example, in the case where the life log information as an explanatory variable is the sleep time of the subject for the 4th case of the skin model, it is preferably applied to an example where the following skin states are used as target variables.

[0320] · Cutaneous horny layer moisture content

[0321] · Skin elasticity

[0322] · Degree of skin glycation

[0323] For example, for the 5th case of the skin model when the explanatory variable is genetic information, it is preferably applied to an example where the following skin states are used as target variables.

[0324] · Degree of glycation

[0325] · Chroma

[0326] · a*

[0327] · b*

[0328] · Skin age spots

[0329] · Hemoglobin oxygen saturation

[0330] · Cutaneous horny layer moisture content

[0331] · Hemoglobin

[0332] · Elasticity

[0333] (7-2-3) Skin state estimation process of Modification 2

[0334] The skin state estimation process of Modification 2 will be described. Figure 11 It is a flowchart of the skin state estimation process of Modification 2.

[0335] As Figure 11 shown, the skin state estimation device 10 Figure 5 similarly performs acquisition of measurement results (S1110).

[0336] After step S1110, the skin state estimation device 10 performs acquisition of additional information (S3110).

[0337] Specifically, the processor 12 refers to the subject database ( Figure 3 ), and acquires at least one of subject attribute information, subject body information, environmental log information, life log information, and genetic information associated with the subject identification information obtained in step S1110 as additional information.

[0338] After step S3110, the skin state estimation device 10 performs estimation of future skin state (S3111).

[0339] Specifically, a future skin model is stored in the storage device 11.

[0340] The processor 12 estimates the future skin state corresponding to the combination of the measurement log information obtained in step S1110 and the additional information obtained in step S3110 by providing them to the future skin model.

[0341] After step S3111, the skin state estimation device 10 performs estimation of the current skin state (S3112).

[0342] Specifically, a current skin model is stored in the storage device 11.

[0343] The processor 12 estimates the current skin state corresponding to the combination of the measurement log information obtained in step S1110 and the additional information obtained in step S3110 by providing them to the current skin model.

[0344] After step S3112, the skin state estimation device 10 Figure 5 similarly performs database update (S1113) - display of estimation result (S1114).

[0345] (7-2-4) Summary of Modification 2

[0346] According to Modification Example 2, it is also possible to estimate the skin condition of a subject based on a combination of the plasma components in the blood and the attribute information (e.g., age) of the subject. Thereby, the accuracy of skin condition estimation can be further improved.

[0347] According to Modification Example 2, it is also possible to estimate the skin condition of a subject based on a combination of the plasma components in the blood and the physical information (e.g., BMI information) of the subject. Thereby, the accuracy of skin condition estimation can be further improved.

[0348] According to Modification Example 2, it is also possible to estimate the skin condition of a subject based on a combination of the plasma components in the blood and the environmental log information (e.g., ultraviolet ray information). Thereby, the accuracy of skin condition estimation can be further improved.

[0349] According to Modification Example 2, it is also possible to estimate the skin condition of a subject based on a combination of the plasma components in the blood and the life log information (e.g., nutrient intake). Thereby, the accuracy of skin condition estimation can be further improved.

[0350] According to Modification Example 2, it is also possible to estimate the skin condition of a subject based on a combination of the plasma components in the blood, the attribute information, the physical information, the environmental log information, and the life log information. Thereby, the accuracy of skin condition estimation can be further improved.

[0351] (7-3) Modification Example 3

[0352] Modification Example 3 will be described. Modification Example 3 is an example of a skin condition estimation system including the skin condition estimation device 10.

[0353] (7-3-1) Outline of Modification Example 3

[0354] The outline of Modification Example 3 will be described. Figure 12 It is an explanatory diagram of the outline of Modification Example 3.

[0355] Figure 12 The user of is, for example, an inspector (as an example, a physician or a medical technician of an inspection institution).

[0356] As Figure 12 shown, the subject hands over his / her blood collection sample to the user.

[0357] The user conducts an examination of the blood collection sample and measures the plasma components in the subject's blood.

[0358] The user inputs the measurement result of the plasma components in the subject's blood and the subject identification information into the skin condition estimation device 10.

[0359] The skin condition estimation device 10 stores the input measurement result and the subject identification information in association with each other.

[0360] The subject sends the subject identification information to the skin condition estimation device 10 via the client device 30.

[0361] Based on the measurement results stored in association with the subject identification information sent from the client device 30, the skin condition estimation device 10 estimates the subject's skin condition and presents the estimation result to the subject via the client device 30.

[0362] (7-3-2) Configuration of the skin condition estimation system of Modification 3

[0363] The configuration of the skin condition estimation system of Modification 3 will be described. Figure 13 It is a functional block diagram of the skin condition estimation system of Modification 3.

[0364] As Figure 13 shown, the skin condition estimation system 1 of Modification 3 includes a skin condition estimation device 10 and a client device 30.

[0365] The configuration of the skin condition estimation device 10 is the same as that of Figure 1 which is the same.

[0366] Figure 13 The client device 30 is a computer (an example of an "information processing device") that sends a request to the skin condition estimation device 10 and receives a response from the skin condition estimation device 10. The client device 30 is, for example, a smart phone, a tablet terminal, or a personal computer.

[0367] As Figure 1 shown, the client device 30 includes a storage device 31, a processor 32, an input / output interface 33, and a communication interface 34.

[0368] The storage device 31 is configured to store programs and data. The storage device 31 is, for example, a combination of a ROM, a RAM, and a storage (e.g., a flash memory or a hard disk).

[0369] The programs include, for example, the following programs.

[0370] · A program of an OS (Operating System)

[0371] · Parameters, functions, and models used in information processing

[0372] · A program of an APP (e.g., a web browser) that executes information processing

[0373] The data includes, for example, the following data.

[0374] · A database referred to in information processing

[0375] ·Data obtained by performing information processing (i.e., the execution result of information processing)

[0376] The processor 32 is configured to implement the functions of the client device 30 by starting a program stored in the storage device 31. The processor 32 is, for example, a CPU, GPU, ASIC, FPGA, or a combination thereof.

[0377] The input / output interface 33 is configured to obtain an instruction from a user from an input device connected to the client device 30 and output information to an output device connected to the client device 30.

[0378] The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.

[0379] The output device is, for example, a display.

[0380] The communication interface 34 is configured to control communication between the client device 30 and the skin state estimation device 10.

[0381] (7-3-3) Skin state estimation process of Modification 3

[0382] The skin state estimation process of Modification 3 will be described. Figure 14 is a timing chart of the skin state estimation process of Modification 3.

[0383] Figure 14 The trigger of is any one of the following.

[0384] ·The subject has started a predetermined APP of the skin state estimation device 10 (e.g., an APP for estimating the skin state).

[0385] ·The subject has accessed a predetermined website using the skin state estimation device 10 (e.g., a website providing a service for estimating the skin state).

[0386] As Figure 14 shown, the client device 30 performs the acquisition of measurement results (S1110) in the same manner as Figure 5 After step S1110, the client device 30 performs an estimation request (S4310).

[0387] Specifically, the processor 32 sends estimation request data to the skin state estimation device 10. The estimation request data includes, for example, the following information.

[0388] ·Subject identification information input to the field object F1110a

[0389] ·Measurement log information input to the field object F1110b

[0390] ·Measurement log information input to the field object F1110b

[0391] After step S4310, the skin condition estimation device 10 and Figure 5 similarly perform the estimation of the future skin condition (S1111) to the update of the database (S1113).

[0392] After step S1113, the skin condition estimation device 10 performs an estimation response (S4110).

[0393] Specifically, the processor 12 sends the estimation response data to the client device 30. The estimation response data includes, for example, the following information.

[0394] · The estimation result of the future skin condition obtained in step S1111

[0395] · The estimation result of the current skin condition obtained in step S1112

[0396] After step S4110, the client device 30 and Figure 5 similarly perform the display of the estimation result (S1114).

[0397] (7-3-4) Summary of Modification Example 3

[0398] According to Modification Example 3, via the client device 30 used by the subject, the skin condition estimation device 10 is requested to estimate the skin condition, and the estimation result of the skin condition is obtained. Thus, the subject can more easily know their own skin condition.

[0399] (7-4) Modification Example 4

[0400] Modification Example 4 will be described. Modification Example 4 is an example in which the storage device 11 stores the measurement results of the plasma components in the blood measured by an inspector different from the user, and presents the skin condition of the subject based on the measurement results stored in the storage device 11 to a user different from the subject.

[0401] (7-4-1) Outline of Modification Example 4

[0402] The outline of Modification Example 4 will be described. Figure 15 is an explanatory diagram of the outline of Modification Example 4.

[0403] Figure 15 The user of... is, for example, the person in charge of an operator who provides a skin condition estimation service.

[0404] The inspector is a doctor or a medical technician of an inspection institution.

[0405] As Figure 15 shown, the inspector performs an examination of the blood sample collected from the subject and measures the plasma components in the subject's blood.

[0406] The inspector stores the subject identification information and the measurement results of the plasma components in the blood in the storage device 11 of the skin condition estimation device 10 in association with each other. Thereby, a measurement log database ( Figure 4 ) is constructed.

[0407] The user inputs the subject identification information into the skin condition estimation device 10.

[0408] Based on the measurement results stored in association with the input subject identification information, the skin condition estimation device 10 estimates the skin condition of the subject and presents the estimation result to the user.

[0409] The user notifies the subject of the estimation result of the skin condition estimation device 10 (that is, the skin condition of the subject).

[0410] (7-4-2) Skin condition estimation process of Modification 4

[0411] The skin condition estimation process of Modification 4 will be described. Figure 16 is a timing chart of the skin condition estimation process of Modification 4. Figure 17 is a diagram showing an example of a screen displayed in the Figure 16 information processing.

[0412] Figure 16 The trigger of

[0413] · The user starts a predetermined APP of the skin condition estimation device 10 (for example, an APP for estimating the skin condition).

[0414] · The user accesses a predetermined website using the skin condition estimation device 10 (for example, a website providing a service for estimating the skin condition).

[0415] In the measurement log database ( Figure 4 ), the subject identification information of the subject and the measurement log information are stored in association with each other in advance.

[0416] As Figure 16 shown, the skin condition estimation device 10 acquires the measurement results (S5110).

[0417] Specifically, the processor 12 displays the screen P5110 ( Figure 17 ) on the display.

[0418] The screen P5110 includes an operation object B5110 and a field object F5110.

[0419] The operation object B5110 is an object that accepts a user instruction for determining an input to the field object F5110.

[0420] The field object F5110 is an object that accepts the input of the subject identification information.

[0421] When the user inputs the subject identification information to the field object F5110 and operates the operation object B5110, the processor 12 determines the measurement log database associated with the subject identification information input to the field object F5110 ( Figure 4 ).

[0422] After step S5110, the skin state estimation device 10 performs the estimation of the future skin state (S5111).

[0423] Specifically, a future skin model is stored in the storage device 11.

[0424] The processor 12 reads out any of the following plasma component information from the measurement log database determined in step S1110 ( Figure 4 ).

[0425] · The latest plasma component information (that is, the plasma component information associated with the timestamp information indicating the latest date and time)

[0426] · The average value of the plasma component information within a certain period

[0427] · The average value of the plasma component information throughout the period

[0428] The processor 12 estimates the future skin state of the subject corresponding to the plasma components in the blood by providing the read plasma component information to the future skin model.

[0429] After step S5111, the skin state estimation device 10 performs the estimation of the current skin state (S5112).

[0430] Specifically, a current skin model is stored in the storage device 11.

[0431] The processor 12 estimates the current skin state of the subject corresponding to the plasma components in the blood by providing the plasma component information read in step S1112 to the current skin model.

[0432] After step S5112, the skin state estimation device 10 Figure 5 similarly performs the display of the estimation result (S1114).

[0433] (7-4-3) Summary of Modification Example 4

[0434] According to Modification Example 4, even without a blood sampling sample of the subject, the skin state can be estimated using the plasma component information pre-stored in the storage device 11. Thus, even a user without examination ability can present the estimated result of the skin state to the subject.

[0435] (7-5) Modification Example 5

[0436] Modification Example 5 will be described. Modification Example 5 is an example in which the storage device 11 stores the measurement results of the plasma components in the blood of the subject, and presents the skin state of the subject based on the measurement results stored in the storage device 11 to the subject.

[0437] (7-5-1) Outline of Modification Example 5

[0438] The outline of Modification Example 5 will be described. Figure 18 It is an explanatory diagram of the outline of Modification Example 5.

[0439] Figure 18 The user of is, for example, the subject.

[0440] As Figure 18 shown, a measurement log database ( Figure 4 ) is stored in the storage device 11 of the skin state estimation device 10.

[0441] The user inputs the subject identification information to the client device 30.

[0442] The client device 30 sends the subject identification information to the skin state estimation device 10.

[0443] Based on the measurement log information of the measurement log database ( Figure 4 ) stored in association with the subject identification information sent from the client device 30, the skin state estimation device 10 estimates the skin state of the subject, and sends the estimation result to the client device 30.

[0444] The client device 30 presents the estimation result sent from the skin state estimation device 10 to the user.

[0445] (7-5-2) Skin State Estimation Process of Modification Example 5

[0446] The skin state estimation process of Modification Example 5 will be described. Figure 19 It is a timing chart of the skin state estimation process of Modification Example 5.

[0447] Figure 19 The trigger of is any one of the following.

[0448] · The subject starts a predetermined APP (for example, an APP for estimating the skin state) of the skin state estimation device 10.

[0449] ·The subject accessed a predetermined website (e.g., a website providing a service for estimating skin condition) using the skin condition estimation device 10.

[0450] As Figure 19 shown, the client device 30 executes an estimation request (S6310).

[0451] Specifically, the processor 32 displays the screen P5110 ( Figure 17 ) on the display.

[0452] When the user inputs the subject identification information into the field object F5110 and operates the operation object B5110, the processor 32 sends the estimation request data to the skin condition estimation device 10. The estimation request data includes, for example, the following information.

[0453] ·The subject identification information input into the field object F5110

[0454] After step S6310, the skin condition estimation device 10 Figure 5 similarly executes the estimation of the future skin condition (S1111) to the estimation of the current skin condition (S1112).

[0455] After step S1112, the skin condition estimation device 10 Figure 14 similarly executes an estimation response (S4110).

[0456] After step S4110, the client device 30 Figure 5 similarly executes the display of the estimation result (S1114).

[0457] (7-5-3) Summary of Modification Example 5

[0458] According to Modification Example 5, even without a blood sample of the subject, the skin condition can be estimated using the plasma component information pre-stored in the storage device 11. Thus, even for a subject without the ability to undergo an examination, the estimation result of the skin condition based on the existing examination results can be known.

[0459] (8) Other Modification Examples

[0460] Other modification examples will be described.

[0461] The storage device 11 may also be connected to the skin condition estimation device 10 via a network.

[0462] The storage device 31 may also be connected to the client device 30 via a network.

[0463] As described above, the embodiments of the present invention have been described in detail, but the scope of the present invention is not limited to the above-described embodiments. In addition, the above-described embodiments can be variously modified and changed without departing from the gist of the present invention. In addition, the above-described embodiments and modified examples can be combined.

[0464] Description of Reference Numerals

[0465] 1: Skin condition estimation system

[0466] 10: Skin condition estimation device

[0467] 11: Storage device

[0468] 12: Processor

[0469] 13: Input / output interface

[0470] 14: Communication interface

[0471] 30: Client device

[0472] 31: Storage device

[0473] 32: Processor

[0474] 33: Input / output interface

[0475] 34: Communication interface

Claims

1. A method for estimating skin condition, comprising: estimating at least one of the current skin condition and the future skin condition of a subject based on plasma components in blood.

2. The method for estimating skin condition according to claim 1, wherein the plasma components in the blood include at least one of water-soluble vitamins, fat-soluble vitamins, and minerals.

3. The method for estimating skin condition according to claim 2, wherein the fat-soluble vitamins include at least one of vitamin A, vitamin D, and β-carotene.

4. The method for estimating skin condition according to claim 3, wherein the estimating step estimates at least one of the degree of glycation and a* based on the vitamin D.

5. The method for estimating skin condition according to claim 3, wherein the estimating step estimates the water content of the stratum corneum based on the vitamin A.

6. The method for estimating skin condition according to claim 3, wherein the estimating step estimates at least one of b*, chroma, age spots, and hemoglobin oxygen saturation based on the β-carotene.

7. The method for estimating skin condition according to claim 2, wherein the water-soluble vitamins include at least one of niacin and folic acid.

8. The method for estimating skin condition according to claim 7, wherein the estimating step estimates at least one of the water content of the stratum corneum, a*, hemoglobin, and the length of capillaries based on the niacin.

9. The method for estimating skin condition according to claim 7, wherein the estimating step estimates the water content of the stratum corneum based on the folic acid.

10. The method for estimating skin condition according to claim 2, wherein the minerals include at least one of potassium, zinc, and calcium.

11. The method for estimating skin condition according to claim 10, wherein the estimating step estimates elasticity based on the potassium.

12. The method for estimating skin condition according to claim 10, wherein the estimating step estimates at least one of the water content of the stratum corneum, chroma, a*, and hemoglobin based on the zinc.

13. The method for estimating skin condition according to claim 10, wherein the estimating step estimates at least one of hemoglobin and a* based on the calcium.

14. The method for estimating skin condition according to any one of claims 1 to 13, comprising generating a recommendation for the subject based on the skin condition.

15. The method for estimating skin condition according to claim 14, wherein the recommendation includes at least one of factors affecting the skin condition and measures for improving the skin condition.

16. The method for estimating skin condition according to any one of claims 1 to 13, comprising obtaining plasma components in the blood of the subject, wherein the estimating step estimates at least one of the current skin condition and the future skin condition based on the plasma components in the blood.

17. The method for estimating skin condition according to any one of claims 1 to 13, wherein the estimating step estimates the skin condition based on a combination of the plasma components in the blood and the attribute information of the subject.

18. The method for estimating skin condition according to any one of claims 1 to 13, The step of estimation estimates the skin condition based on a combination of the plasma components in the blood and the physical information of the subject.

19. The method for estimating a skin condition according to any one of claims 1 to 13, wherein the step of estimation estimates the skin condition based on a combination of the plasma components in the blood and the environmental log information of the subject.

20. The method for estimating a skin condition according to any one of claims 1 to 13, wherein the step of estimation estimates the skin condition based on a combination of the plasma components in the blood and the life log information of the subject.

21. The method for estimating a skin condition according to any one of claims 1 to 13, wherein the step of estimation estimates the skin condition based on a combination of the plasma components in the blood, the attribute information of the subject, the physical information of the subject, the environmental log information of the subject, and the life log information of the subject.

22. A program for causing a computer to function as a unit that: estimates at least one of the current skin condition and the future skin condition of a subject based on plasma components in the blood.

23. A skin condition estimation device comprising: a unit that estimates at least one of the current skin condition and the future skin condition of a subject based on plasma components in the blood.

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