KR102500446B1 - Method and system for sensing biometric inforamtion - Google Patents

Abstract

Disclosed are a biometric information sensing method and system. According to an embodiment of the present invention, a biometric information sensing method includes the steps of: receiving a measurement value from an electromagnetic-based in-body bio-sensor inserted into a subject's body; determining a time of empty stomach of a subject; characterizing a change in biometric information and a change in permittivity by matching the determined measured value at empty stomach to a true value of the biometric information; and determining a value of the biometric information of the target based on a change in permittivity according to a change in a measured value from the biometric sensor in the body. Therefore, it is possible to characterize changes in the biometric information and changes in permittivity.

Description

Biometric information sensing method and system {METHOD AND SYSTEM FOR SENSING BIOMETRIC INFORAMTION}

The following description relates to a biometric information sensing method and system.

Biosensors that detect dielectric constants based on electromagnetic (EM) have already been proven to be effective in detecting tumors and malignant tissues in the body, and dielectric properties of various organs and tissues in vivo are pre-characterized over a wide EM spectrum. It became.

In the development of electromagnetic-based biosensors, interest in glucose sensing and measurement has increased over the past few years. This method may be based on the characterization of permittivity changes with changes in glucose concentration in blood or interstitial fluid. In general, a change in permittivity according to a change in glucose is reflected in a change in the resonant frequency of a biosensor.

An electromagnetic resonator as a biosensor can detect a change in permittivity of blood and interstitial fluid (ISF) due to a change in glucose. The sensor reference resonance may also vary depending on the bioenvironment in which it is embedded. EM-based biosensors for blood glucose measurement have already been tried and encouraging results have been reported in various literatures.

However, as described above, these EM-based biosensors do not directly measure the concentration of glucose contained in blood or interstitial fluid, etc., but based on a pre-characterized relationship between changes in dielectric constant according to changes in glucose concentration Measure your blood sugar. For example, as the electromagnetic resonator of a biosensor provides a change in resonant frequency reflecting a change in permittivity as a measurement value, the change in permittivity according to the change in resonant frequency and the change in glucose concentration due to the change in permittivity can be indirectly measured. You can get it to measure your blood sugar.

Therefore, in order to characterize the relationship described above, it is required that a true value of biometric information such as blood sugar, which is a reference for each individual, be input. For example, in order to find out which glucose concentration value is related to the resonance frequency (or relative permittivity) currently measured by the biosensor inserted into object A, the glucose concentration value of object A corresponding to the specific resonance frequency is the true value. Since it must be entered in advance, it is inconvenient to extract the blood of subject A, directly measure the concentration of glucose in the blood, and then input the measured value of the EM-based biosensor to a system that processes it.

[Prior art document number]

Korean Registered Patent No. 10-2185556

Provided is a biometric information sensing method and system capable of characterizing a change in biometric information and a change in permittivity by correlating a measurement value at a specific time of day and/or a measurement value in an empty stomach each day to a true value of the biometric information.

A biometric information sensing method of a computer device including at least one processor, comprising: receiving, by the at least one processor, a measurement value from an electromagnetic sensor inserted into a body of a target; determining, by the at least one processor, a fasting point of the subject; characterizing, by the at least one processor, a change in biometric information and a change in permittivity by matching the measured value of the determined fasting time to a true value of the biometric information; and determining, by the at least one processor, a value of the biometric information of the subject based on a change in permittivity according to a change in a measured value from the biometric sensor in the body.

According to one aspect, the receiving of the measured value may include receiving a measured value including at least one of a resonant frequency measured by the in vivo biosensor, a change in the resonant frequency, and a change in permittivity according to the change in the resonant frequency. that can be characterized.

According to another aspect, the true value of the biometric information may be determined as a value included in a predetermined normal range of the biometric information.

According to another aspect, the normal range of the biometric information may be preset according to the species of the subject.

According to another aspect, the step of determining the fasting time may be characterized in that the fasting time is determined according to at least one of a specific time of each day and an emptying time of the target input from the user.

According to another aspect, the step of characterizing may be characterized by storing the determined measurement value of the fasting time in association with a predetermined true value of biometric information.

According to another aspect, the step of determining the value of the biometric information may include changing the true value of the biometric information stored in association with the determined measurement value of the fasting time according to the change in permittivity, thereby changing the value of the biometric information of the subject. It can be characterized by determining.

A computer program stored in a computer readable recording medium is provided in combination with a computer device to execute the method on the computer device.

A computer readable recording medium having a program for executing the method in a computer device is recorded.

At least one processor implemented to execute instructions readable by a computer device, receiving a measurement value from an electromagnetic-based in-body biometric sensor inserted into the body of the subject by the at least one processor, and receiving the measured value from the subject on an empty stomach A time point is determined, and a change in biometric information and a change in permittivity are characterized by corresponding a measured value at the determined fasting time point to a true value of biometric information, and based on a change in permittivity according to a change in measured value from the body biometric sensor It is possible to provide a computer device characterized in that the value of the biometric information of the subject is determined.

The change in biometric information and the change in permittivity can be characterized by correlating the measured value at a specific time of day and/or the measured value in the fasting state each day to the true value of the biometric information.

1 is a diagram showing an example of a general appearance of a biometric information sensing system according to an embodiment of the present invention.
2 is a diagram showing an example of an internal configuration of a biometric information sensing system according to an embodiment of the present invention.
3 is a flowchart illustrating an example of a biometric information sensing method according to an embodiment of the present invention.
4 is a block diagram illustrating an example of a computer device according to one embodiment of the present invention.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes can be made to the embodiments, the claims of the patent application are not limited or limited by these embodiments. It should be understood that all changes, equivalents, or alternatives to the embodiments are included in the scope of the claims.

Terms used in the examples are used only for descriptive purposes and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in this application, it should not be interpreted in an ideal or excessively formal meaning. don't

In addition, in the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted. In describing the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description will be omitted.

In addition, in describing the components of the embodiment, terms such as first, second, A, B, (a), and (b) may be used. These terms are only used to distinguish the component from other components, and the nature, order, or order of the corresponding component is not limited by the term. When an element is described as being “connected,” “coupled to,” or “connected” to another element, that element may be directly connected or connected to the other element, but there may be another element between the elements. It should be understood that may be "connected", "coupled" or "connected".

Components included in one embodiment and components including common functions will be described using the same names in other embodiments. Unless stated to the contrary, descriptions described in one embodiment may be applied to other embodiments, and detailed descriptions will be omitted to the extent of overlap.

The advantage of electromagnetic (EM)-based resonators is that they can be designed in different shapes and sizes, tuned to different operating frequency bands, and optimized for EM penetration depth and sensitivity. Measurable parameters of an EM sensor representing analyte levels, such as glucose, may be reflection-based (S ₁₁ ) or transmission-based (S ₂₁ ) and may consider both “magnitude and phase” characteristics. Non-invasive analyte measurement from outside the body presents several challenges due to the high reflectivity of the signal in the skin layer and the low penetration depth of the signal. This limits EM interaction with living tissue and lowers sensitivity. In addition, the internal body temperature is more stable than that of the external body (skin). Temperature change also affects the permittivity change. Implantable EM sensors are thus more reliable and more sensitive to detect analyte levels.

An in-body biosensor may also be referred to as an invasive biosensor, an implantable biosensor, or an implantable biosensor. The in vivo biosensor may be a sensor that senses a target analyte using electromagnetic waves. For example, an in vivo biosensor may measure biometric information associated with a target analyte. Hereinafter, a target analyte is a material related to a living body and may also be referred to as a biological material or an analyte. For reference, in the present specification, the target analyte is mainly described as blood glucose, but is not limited thereto. The biometric information is information related to a subject's biological components, and may include, for example, the concentration and level of an analyte. When the analyte is blood sugar, the biometric information may include a blood sugar level.

The in vivo biometric sensor may measure biometric parameters (hereinafter referred to as 'parameters') related to the aforementioned biocomponents, and determine biometric information from the measured parameters. In this specification, a parameter may represent a circuit network parameter used to analyze a biosensor, and in the following, for convenience of description, a scattering parameter is mainly described as an example, but is not limited thereto. As parameters, for example, admittance parameters, impedance parameters, hybrid parameters, transmission parameters, and the like may be used. For scattering parameters, transmission and reflection coefficients can be used. For reference, the resonant frequency calculated from the above-described scattering parameters may be related to the concentration of the target analyte, and the biosensor may predict blood glucose by detecting a change in a transmission coefficient and/or a reflection coefficient.

An in vivo biosensor may include a resonator assembly (eg, an antenna). Hereinafter, an example in which the resonator assembly is an antenna will be mainly described. The resonant frequency of the antenna may be expressed as a capacitance component and an inductance component as shown in Equation 1 below.

[Equation 1]

에 비례할 수 있다.In Equation 1 described above, f may represent a resonant frequency of an antenna included in a biological sensor using electromagnetic waves, L may represent an inductance of an antenna, and C may represent a capacitance of an antenna. The capacitance C of the antenna is a relative dielectric constant as shown in Equation 2 below

can be proportional to

[Equation 2]

은 주변의 대상 피분석물의 농도에 의해 영향을 받을 수 있다. 예를 들어, 전자기파가 임의의 유전율을 가지는 물질을 통과하는 경우, 전파 반사 및 산란으로 인해 투과된 전자기파에서 진폭과 위상의 변화가 발생할 수 있다. 생체 센서 주변에 존재하는 대상 피분석물의 농도에 따라 전자기파의 반사 정도 및/또는 산란 정도가 달라지므로, 상대 유전율

도 달라질 수 있다. 이는 안테나를 포함하는 생체 센서에 의해 방사된 전자기파에 의한 주변 장(fringing field)로 인해, 생체 센서와 대상 피분석물 간에 생체 커패시턴스가 형성되는 것으로 해석될 수 있다. 대상 피분석물의 농도 변화에 따라 안테나의 상대 유전율

이 변하므로, 안테나의 공진 주파수도 함께 변화한다. 다시 말해, 대상 피분석물의 농도는 공진 주파수에 대응할 수 있다.Relative Permittivity of the Antenna

may be influenced by the concentration of the analyte of interest in the surroundings. For example, when electromagnetic waves pass through a material having a certain permittivity, changes in amplitude and phase may occur in the transmitted electromagnetic waves due to reflection and scattering of radio waves. Since the degree of reflection and/or scattering of electromagnetic waves varies depending on the concentration of the target analyte present around the biosensor, the relative dielectric constant

may also vary. This may be interpreted as a fact that a biocapacitance is formed between the biosensor and the target analyte due to a fringing field caused by electromagnetic waves radiated by the biosensor including the antenna. The relative permittivity of the antenna according to the change in the concentration of the target analyte

As this changes, the resonant frequency of the antenna also changes. In other words, the concentration of the analyte of interest may correspond to the resonant frequency.

According to an embodiment, the in-body biological sensor may emit electromagnetic waves while sweeping a frequency, and may measure a scattering parameter according to the emitted electromagnetic waves. The in vivo biosensor may determine a resonance frequency from the measured scattering parameters and estimate a blood glucose level corresponding to the determined resonance frequency. The in vivo biosensor can be inserted into the subcutaneous layer of a subject such as a human or an animal, and can predict blood glucose diffused from blood vessels into interstitial fluid.

As described above, the biometric information sensing system using such an EM-based body biometric sensor directly measures biometric information such as the concentration of glucose in blood or interstitial fluid (eg, glucose concentration measurement by electrochemical method) Rather, biometric information such as glucose concentration is estimated based on a pre-characterized relationship between changes in permittivity according to changes in glucose concentration. Therefore, in order to characterize the relationship described above, it is required to input true values of biometric information such as glucose concentration as a reference for each individual. In addition, the true value of such biometric information is not processed as a single input, but is periodically input to correct the biometric sensor in the body.

However, unlike a biometric information sensing system targeting humans, it is difficult for a biometric information sensing system targeting animals to periodically receive true values of biometric information. For example, a person usually inserts a CGMS (Continuous Glucose Monitoring System)-based biometric sensor into the body after developing a disease such as diabetes, and uses the biometric information sensing system to continuously manage biometric information such as blood sugar. It is easy to calibrate the biometric sensor in the body by taking blood and inputting the true value of the biometric information. On the other hand, an internal biosensor inserted into an animal is incorporated into an RFID tag as an identification tag for the animal when the animal is generally healthy, such as when the animal is adopted or when the animal is just born. inserted Accordingly, it is relatively difficult to periodically obtain and input true values of biometric information in a biometric information sensing system for animals, unlike in a biometric information sensing system for humans.

Accordingly, in the embodiments of the present invention, the measured value at a specific time of day during a predetermined period and/or the measured value of the fasting state each day can be corresponded to the true value of the biometric information to characterize the change in glucose and the change in permittivity. . For example, in general, when the animal is in a healthy state, a measurement value of an in vivo biosensor inserted into the body of the animal, in particular, a measurement value of the fasting time (eg, the time every morning or the time input by the user on an empty stomach) (eg, , By assuming that the resonant frequency of the biosensor in the body at the time of fasting or the corresponding relative permittivity) corresponds to the true value of the biometric information (for example, the normal blood sugar level for the target), the biometric information sensing system Based on the true value, a change in the biometric information of the target may be measured according to a change in a measurement value transmitted from a biometric sensor in the body.

1 is a diagram showing an example of a general appearance of a biometric information sensing system according to an embodiment of the present invention. 1 shows an in-body bio-sensor 110 inserted into a subject's body and a bio-information bio-system 120 interacting with the in-body bio-sensor 110 outside the subject's body.

The body biometric sensor 110 may operate based on power wirelessly transmitted from the biometric information sensing system 120 . For example, the body biometric sensor 110 may be passively operated by the electromagnetic field of the biometric information sensing system 120 . The biometric sensor 110 may emit electromagnetic waves based on power wirelessly transmitted from the biometric information sensing system 120, and due to a fringing field by the radiated electromagnetic waves, the biometric sensor and the target object to be analyzed Biocapacitance can form between water. In this case, since the relative permittivity of an antenna (not shown) that may be included in an in vivo biosensor changes according to a change in the concentration of the target analyte, the resonant frequency of the antenna may also change.

The biometric information sensing system 120 may be implemented as a computer device such as a smart phone or a separate reader capable of communicating with the biometric sensor 110 in the body. The biometric information sensing system 120 receives a measured value including at least one of a resonant frequency measured by the in vivo biosensor 110 from the in vivo biosensor 110, a change in the resonant frequency, and a change in permittivity according to the change in the resonant frequency. can receive

Meanwhile, the biometric information sensing system 120 may correspond the measurement value received from the biometric sensor 110 in the body to the true value of the biometric information when the subject is fasting. Here, the true value of the biometric information may be determined as a value included in a preset normal range of the biometric information, and the normal range of the biometric information may be preset according to the species of the subject. For example, the true value of the concentration of glucose may be preset to a value belonging to the normal range of blood glucose preset for a cat, and the biometric information sensing system 120 receives from the biometric sensor 110 in the body at the time of fasting of the subject The measured value can be corresponded to the true value of the biometric information. Depending on the embodiment, the biometric information sensing system 120 may utilize a plurality of measurement values received from the body biometric sensor 110 at a plurality of fasting times during a certain period of time. For example, an average of a plurality of measurement values, a pattern of a plurality of measurement values, or a range to which a plurality of measurement values belong may correspond to a true value of biometric information.

Changes in biometric information and changes in permittivity can be characterized by matching the measured value at the time of fasting with the true value of biometric information. A value of biometric information of a subject may be determined based on a change in . For example, when a resonant frequency of 201 MHz corresponds to a value of 90 mg/dL as the true blood glucose value, the blood glucose value can be estimated as the resonant frequency changes to 200 MHz or 202 MHz.

2 is a diagram showing an example of the internal configuration of a biometric information sensing system according to an embodiment of the present invention, and FIG. 3 is a flowchart illustrating an example of a biometric information sensing method according to an embodiment of the present invention. As shown in FIG. 2 , the biometric information sensing system 120 may include a receiver 210 , a determiner 220 , a characterizer 230 and a biometric information determiner 240 . In this case, when the biometric information sensing system 120 is implemented by a computer device including at least one processor, the receiver 210, the determiner 220, the characterizer 230, and the biometric information determiner 240 Functional expressions of operations performed by a processor of a computer device according to codes and/or instructions of a computer program stored in a memory. As an example, the computer program may be an application installed and driven in a computer device to provide a biometric information sensing service. For example, receiver 210 may be utilized as a functional representation of an operation for a processor to control a computer device to receive information. Steps 310 to 340 of FIG. 3 may be performed by a computer device implementing the biometric information sensing system 120 . Hereinafter, steps 310 to 340 are described as being performed by the receiving unit 210, the determining unit 220, the characterizing unit 230, and the biometric information determining unit 240, but this is because the computer device performs the steps 310. It can be understood that the processor controls the computer device to perform 340 to 340).

In step 310, the receiver 210 may receive a measurement value from an electromagnetic sensor inserted into the body of the target. Here, the in-body bio-sensor may correspond to the in-body bio-sensor 110 described above. For example, the biometric information sensing system 120 wirelessly transmits power to the biometric sensor 110 in the body so that the biometric sensor 110 generates and transmits a measurement value for the biometric information of the subject. However, according to embodiments, the body biometric sensor 110 may operate with its own power to generate and transmit measurement values for biometric information of the subject. As described above, the measured value may include at least one of a resonant frequency measured by the biometric sensor 110 in the body, a change in the resonant frequency, and a change in permittivity according to the change in the resonant frequency.

In step 320, the determination unit 220 may determine the fasting time of the subject. For example, the determination unit 220 may determine the fasting time according to at least one of a specific time of each day and an emptying time of the subject input from the user. The specific time of day can be any time preset to be before breakfast. As a more specific example, the determining unit 220 may utilize the fasting time of the target input from the user as the fasting time, but when a plurality of fasting times of the day are input, determine the fasting time close to the specific time of each day as the fasting time. can

In step 330, the characterization unit 230 may characterize the change in biometric information and the change in permittivity by matching the measured value at the fasting time to the true value of the biometric information. Here, the true value of the biometric information may be determined as a value included in a preset normal range of the biometric information, and the normal range of the biometric information may be preset according to the species of the subject. As already described, in the case of animals, the biological sensor 110 may be inserted into the body when the animal is adopted or shortly after birth, and it is assumed that the animal remains healthy for a certain period of time. Fasting time according to a specific time of day and/or fasting time during the day may be determined. In this case, measured values at each fasting point may be obtained, and the characterization unit 230 matches the obtained at least one measured value with a true value indicating a normal range of biometric information preset for the animal, thereby blood blood It is possible to characterize changes in biometric information and changes in permittivity without direct measurement values through such systems. In this case, more accurate characterization may be possible by deriving an appropriate measurement value or a range of measurement values using a plurality of measurement values instead of one measurement value. For example, an average value or variance of a plurality of measured values and/or a range of measured values may correspond to a true value of biometric information. Meanwhile, the characterization unit 230 may store the measured value of the determined fasting time in the storage of the biometric information sensing system 120 in association with the true value of the biometric information in order to characterize the change in biometric information and the change in permittivity. The storage may include a memory 410 of the computer device 400 to be described later or a separate permanent storage device distinct from the memory 410 .

In step 340, the biometric information determination unit 240 may determine the biometric information value of the target based on the change in permittivity according to the change in the measurement value from the biometric sensor in the body. For example, the biometric information determiner 240 may determine the biometric information value of the target by changing the true value of the biometric information stored in association with the measured value at the determined fasting time according to the change in permittivity. As such, the biometric information sensing system 120 can provide biometric information for measured values such as resonance frequencies by characterizing changes in biometric information and permittivity without directly measuring values through blood or the like.

4 is a block diagram illustrating an example of a computer device according to one embodiment of the present invention. The computer device 400 may correspond to the computer device described above, and as shown in FIG. 4, a memory 410, a processor 420, a communication interface 430, and It may include an input/output interface (I/O interface, 440). The memory 410 is a computer-readable recording medium and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. Here, a non-perishable mass storage device such as a ROM and a disk drive may be included in the computer device 400 as a separate permanent storage device distinct from the memory 410 . Also, an operating system and at least one program code may be stored in the memory 410 . These software components may be loaded into the memory 410 from a recording medium readable by a separate computer from the memory 410 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, software components may be loaded into the memory 410 through the communication interface 430 rather than a computer-readable recording medium. For example, the software components may be loaded into the memory 410 of the computer device 400 based on a computer program installed by files received through a network 460 .

The processor 420 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processor 420 by memory 410 or communication interface 430 . For example, processor 420 may be configured to execute received instructions according to program codes stored in a recording device such as memory 410 .

The communication interface 430 may provide a function for the computer device 400 to communicate with other devices through the network 460 . For example, a request, command, data, file, etc. generated according to a program code stored in a recording device such as a memory 410 by the processor 420 of the computer device 400 is transferred to a network ( 460) to other devices. Conversely, signals, commands, data, files, etc. from other devices may be received by computer device 400 via communication interface 430 of computer device 400 via network 460 . Signals, commands, or data received through the communication interface 430 may be transferred to the processor 420 or the memory 410, and files may be stored as storage media that the computer device 400 may further include (described above). permanent storage).

The input/output interface 440 may be a means for interface with the input/output device (I/O device, 450). For example, the input device may include a device such as a microphone, keyboard, or mouse, and the output device may include a device such as a display or speaker. As another example, the input/output interface 440 may be a means for interface with a device in which functions for input and output are integrated into one, such as a touch screen. The input/output device 450 and the computer device 400 may be configured as one device.

Also, in other embodiments, computer device 400 may include fewer or more elements than those of FIG. 4 . However, there is no need to clearly show most of the prior art components. For example, the computer device 400 may be implemented to include at least some of the aforementioned input/output devices 450 or may further include other elements such as a transceiver and a database.

In this way, according to the embodiments of the present invention, it is possible to characterize the change in biometric information and the change in permittivity by correlating the measured value at a specific time of day and/or the measured value in the fasting state each day to the true value of the biometric information. .

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (10)

In the biometric information sensing method of a computer device including at least one processor,
receiving, by the at least one processor, a measurement value from an electromagnetic sensor inserted into the body of the target;
determining, by the at least one processor, a fasting point of the subject;
Characterizing the relationship between the change in biometric information and the change in permittivity by matching, by the at least one processor, the measured value of the determined fasting time with a true value as a value included in a predetermined normal range of biometric information for the subject step; and
determining, by the at least one processor, a value of the biometric information of the target based on a change in permittivity according to a change in a measured value from the biometric sensor in the body and the characterized relationship;
Biometric information sensing method comprising a. According to claim 1,
Receiving the measured value,
A biometric information sensing method comprising receiving a measurement value including at least one of a resonant frequency measured by the biometric sensor in the body, a change in the resonant frequency, and a change in permittivity according to the change in the resonant frequency. delete According to claim 1,
The biometric information sensing method, characterized in that the normal range of the biometric information is preset according to the species of the target. According to claim 1,
The step of determining the fasting time point,
The biometric information sensing method characterized in that the fasting time is determined according to at least one of a specific time every day and a fasting time of the subject input from a user. According to claim 1,
The characterization step is
Characterizing the relationship between a change in biometric information and a change in permittivity by storing the determined measured value at the fasting point in association with a preset true value of biometric information. According to claim 6,
The step of determining the value of the biometric information,
According to the change in the permittivity, the biometric information value of the target is determined by changing a true value of the biometric information stored in association with the measured value at the determined fasting point according to the characterized relationship, and determining the biometric information value of the subject. . A computer program stored in a computer readable recording medium to be combined with a computer device to execute the method of any one of claims 1, 2, or 4 to 7 in the computer device. A computer-readable recording medium having a program recorded thereon to execute the method of any one of claims 1, 2, or 4 to 7 in a computer device. at least one processor implemented to execute instructions readable by a computer device;
including,
by the at least one processor,
receiving a measurement value from an electromagnetic-based in-body bio-sensor inserted into the body of the subject;
Determining the fasting time of the target,
Characterizing the relationship between the change in biometric information and the change in permittivity by correlating the determined measured value at the fasting point with a true value as a value included in a predetermined normal range of biometric information for the subject,
Determining a value of the biometric information of the subject based on a change in permittivity according to a change in a measured value from the biometric sensor in the body and the characterized relationship
Characterized by a computer device.

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