KR20240033634A - Color sensor array including plurality of color sensros, electronic device including color sensor array, and operation method for obtaining result information by reducing effects between the plurality of color sensors - Google Patents

Abstract

According to various embodiments, a method of operating an electronic device includes: acquiring a plurality of color values associated with a specific object using a plurality of color sensors included in a color sensor array of the electronic device; normalizing the plurality of color values; obtaining a plurality of corrected color values based on at least a first part of the normalized plurality of color values and at least another second part associated with the at least first part; and an operation of obtaining specific result information associated with the plurality of correction color values from among the plurality of result information.

Description

A color sensor array including a plurality of color sensors, an electronic device including the color sensor array, and an operating method for obtaining result information by reducing influence between the plurality of color sensors {COLOR SENSOR ARRAY INCLUDING PLURALITY OF COLOR SENSROS, ELECTRONIC DEVICE INCLUDING COLOR SENSOR ARRAY, AND OPERATION METHOD FOR OBTAINING RESULT INFORMATION BY REDUCING EFFECTS BETWEEN THE PLURALITY OF COLOR SENSORS}

The present disclosure relates to a color sensor array including a plurality of color sensors, an electronic device including the color sensor array, and an operating method for obtaining result information by reducing influence between the plurality of color sensors.

As interest in health increases, the size of the healthcare industry market continues to grow.

Accordingly, various types of healthcare devices are being developed to analyze specimens (or samples) similar to biological materials, and in particular, technology for analyzing specimens based on detecting optical characteristics (e.g. color) of the specimen is being developed. This is a time when demand and interest are increasing.

In order to analyze samples more accurately, it is necessary to implement technology to accurately analyze the various types of colors observed from the sample.

An analysis device for analyzing a sample may be implemented to include a plurality of color sensors. Each of the plurality of color sensors may be a photo diode implemented to detect a specific color. At this time, the value of a specific color detected by each of the plurality of color sensors may affect the value of another color or/or may be significantly smaller than the value of another color and may require amplification.

According to various embodiments, a color sensor array including a plurality of color sensors, an electronic device including the color sensor array, and an operating method for obtaining result information by reducing the influence between the plurality of color sensors include a plurality of color sensors. By performing an operation to correct a related color value among a plurality of color values detected from sensors, more accurate result information can be obtained.

The problem to be solved by this application is not limited to the above-mentioned problems, and problems not mentioned can be clearly understood by those skilled in the art from this specification and the attached drawings. .

According to various embodiments, a method of operating an electronic device includes: acquiring a plurality of color values associated with a specific object using a plurality of color sensors included in a color sensor array of the electronic device; normalizing the plurality of color values; obtaining a plurality of corrected color values based on at least a first part of the normalized plurality of color values and at least another second part associated with the at least first part; and an operation of obtaining specific result information associated with the plurality of correction color values from among the plurality of result information.

According to various embodiments, an electronic device includes: a color sensor array including a plurality of color sensors; and at least one processor, wherein the at least one processor: obtains a plurality of color values associated with a specific object using the plurality of color sensors included in the color sensor array, and obtains the plurality of color values normalize the plurality of color values, obtain a plurality of corrected color values based on at least a first part of the normalized plurality of color values and at least another second part associated with the at least first part, and obtain a plurality of corrected color values based on the plurality of normalized color values, An electronic device may be provided, configured to obtain specific result information associated with a plurality of corrected color values.

According to various embodiments, an electronic device includes: a color sensor array including a plurality of color sensors; and at least one processor, wherein the at least one processor: obtains a plurality of color values associated with a specific object using the plurality of color sensors included in the color sensor array, and obtains a plurality of color values associated with a specific object. If a specific color value corresponds to 0, an electronic device configured to obtain error information may be provided.

The solution to the problem is not limited to the above-mentioned solution, and the solution not mentioned can be clearly understood by those skilled in the art from this specification and the attached drawings. .

According to various embodiments, a color sensor array including a plurality of color sensors, which performs an operation of correcting an associated color value among a plurality of color values detected from a plurality of color sensors, so that more accurate result information is obtained. , an electronic device including a color sensor array, and an operating method for obtaining result information by reducing influence between a plurality of color sensors may be provided.

1 is a diagram illustrating an example of the configuration of an analysis system according to various embodiments.
FIG. 2 is a diagram illustrating examples of an electronic device including an analysis device and a specimen, according to various embodiments.
FIG. 3 is a diagram illustrating an example of the configuration of an electronic device according to various embodiments.
FIG. 4 is a diagram illustrating another example of the configuration of an electronic device according to various embodiments.
FIG. 5 is a graph illustrating the relationship between a color sensor array and a color sensor (or color value) according to various embodiments.
FIG. 6 is a flowchart illustrating an example of an operation for correcting color values of an electronic device and obtaining result information, according to various embodiments.
FIG. 7 is a diagram illustrating an example of an operation to obtain result information by correcting interrelated color values of an electronic device, according to various embodiments.
FIG. 8 is a flowchart illustrating an example of a correction operation based on interrelated values of an electronic device, according to various embodiments.
FIG. 9 is a flowchart illustrating an example of an operation for obtaining result information of an electronic device, according to various embodiments.
FIG. 10 is a flowchart illustrating an example of an operation of sequentially detecting values with a low correlation of an electronic device, according to various embodiments.
FIG. 11 is a flowchart illustrating an example of an operation of sequentially measuring values with low correlation using a sensor array of an electronic device, according to various embodiments.
FIG. 12 is a flowchart illustrating an example of a calibration operation based on a reference value for each measurement environment of an electronic device, according to various embodiments.
FIG. 13 is a flowchart illustrating an example of an operation of measuring a reference value for each environment of an electronic device, according to various embodiments.
FIG. 14 is a flowchart illustrating an example of a calibration operation based on a reference value for each measurement environment of an electronic device, according to various embodiments.

Specific structural and functional descriptions of the various embodiments are merely illustrative for the purpose of explanation of the various embodiments, and the various embodiments may be implemented in various forms and are limited to the embodiments described in the present specification or application. It should not be construed as such.

Since various embodiments may be subject to various changes and may have various forms, various embodiments will be illustrated in the drawings and described in detail in the present specification or application. However, the matters disclosed in the drawings are not intended to specify or limit the various embodiments, but should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the various embodiments.

Terms such as first and/or second may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component, for example, without departing from the scope of rights according to the concept of the present disclosure, a first component may be named a second component, and similarly The second component may also be referred to as the first component.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between. Other expressions that describe the relationship between components, such as "between" and "immediately between" or "neighboring" and "directly adjacent to" should be interpreted similarly.

The terms used in this specification are merely used to describe specific embodiments and are not intended to limit various embodiments. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “include” or “have” are intended to indicate the existence of a described feature, number, step, operation, component, part, or combination thereof, but are not intended to indicate the presence of one or more other features or numbers. It should be understood that this does not preclude the existence or addition of steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which this disclosure pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless clearly defined in this specification, should not be interpreted as having an ideal or excessively formal meaning. .

Hereinafter, the present disclosure will be described in detail by explaining preferred embodiments of the present disclosure with reference to the accompanying drawings. The same reference numerals in each drawing indicate the same member.

According to various embodiments, a method of operating an electronic device includes: acquiring a plurality of color values associated with a specific object using a plurality of color sensors included in a color sensor array of the electronic device; normalizing the plurality of color values; obtaining a plurality of corrected color values based on at least a first part of the normalized plurality of color values and at least another second part associated with the at least first part; and an operation of obtaining specific result information associated with the plurality of correction color values from among the plurality of result information.

According to various embodiments, at least one first sensor among the plurality of color sensors corresponds to at least a first portion of the plurality of color values, and at least one second sensor among the plurality of color sensors corresponds to the first portion of the plurality of color values. An operating method may be provided, wherein the sensor corresponds to at least a second portion, and the distance between the at least one first sensor and the at least one second sensor is equal to or greater than a first threshold.

According to various embodiments, a first wavelength band corresponds to at least a first portion of the plurality of color values, a second wavelength band corresponds to at least a second portion of the plurality of color values, and the first wavelength band An operating method may be provided in which the color correlation between the second wavelength band and the second wavelength band is equal to or greater than a second threshold.

According to various embodiments, an operating method may be provided in which the color correlation is determined according to a degree of overlap between the first wavelength band and the second wavelength band.

According to various embodiments, the operation of obtaining the plurality of corrected color values includes:

dividing at least a first portion of the plurality of normalized color values by dividing at least a second portion associated with the at least the first portion; and dividing at least another first part associated with the at least first part into at least a second part of the plurality of normalized color values.

According to various embodiments, the operation of storing a plurality of values corresponding to a plurality of colors for each of the plurality of result information in the electronic device; and an operation of obtaining the result information, which has a plurality of first values corresponding to the plurality of colors associated with the plurality of correction color values among the plurality of result information. .

According to various embodiments, the operation of obtaining the result information includes subtracting a plurality of values corresponding to a plurality of colors and the plurality of correction color values corresponding thereto, and reflecting a weight to each of the subtracted values. movement; And an operation of obtaining the result information in which the sum of each of the subtracted values to which the weight is reflected is the smallest, may be provided.

According to various embodiments, normalizing the plurality of color values includes obtaining maximum and minimum values for each of the plurality of color sensors; and normalizing the plurality of color values based on the maximum value and the minimum value.

According to various embodiments, an electronic device includes: a color sensor array including a plurality of color sensors; and at least one processor, wherein the at least one processor: obtains a plurality of color values associated with a specific object using the plurality of color sensors included in the color sensor array, and obtains the plurality of color values normalize the plurality of color values, obtain a plurality of corrected color values based on at least a first part of the normalized plurality of color values and at least another second part associated with the at least first part, and obtain a plurality of corrected color values based on the plurality of normalized color values, An electronic device may be provided, configured to obtain specific result information associated with a plurality of corrected color values.

According to various embodiments, an electronic device includes: a color sensor array including a plurality of color sensors; and at least one processor, wherein the at least one processor: obtains a plurality of color values associated with a specific object using the plurality of color sensors included in the color sensor array, and obtains a plurality of color values associated with a specific object. If a specific color value corresponds to 0, an electronic device configured to obtain error information may be provided.

1. Overview of the analysis system

According to various embodiments, the analysis system may be a system implemented to provide a function for analyzing a sample (D) based on a plurality of color values measured from the sample (D). The sample (D) is a urine strip for measuring not only biological substances themselves such as fluid substances such as urine, saliva, blood, solid substances, etc., but also biological substances and/or various types of test items, and /Or includes in vitro diagnostic devices such as various types of test kits, and may include various test items in addition to the examples listed. If the specimen (D) is an in vitro diagnostic device, the area (or portion) where the test items of the in vitro diagnostic device are expressed in color (e.g., a color item for a urine strip, a portion where a test line is displayed for a test kit) It can be analyzed by this analysis system. At this time, the analysis system may be implemented to have improved analysis accuracy by reducing and/or amplifying interference between color values that are related to each other among a plurality of color values, which will be described further later.

2. Configuration of analysis system

1 is a diagram illustrating an example of the configuration of an analysis system according to various embodiments. FIG. 2 is a diagram illustrating an example of an electronic device 10 including an analysis device 100 and a sample D according to various embodiments. Below, FIG. 1 will be further described with reference to FIG. 2 .

According to various embodiments, referring to FIG. 1, the analysis system includes an electronic device 10 including an analysis device 100 and a sample analyzed by the electronic device 10 (e.g., the analysis device 100). D) may be included.

According to various embodiments, the electronic device 10 may be implemented as various types of devices. For example, referring to FIG. 2, the electronic device 10 is a device for analyzing a specimen D, such as a urine strip, and can be mounted on a toilet, and the specimen D (e.g., a urine strip) is seated ( It may be a device that includes a gutter 200 that can reciprocate in the direction of the analysis device 100 provided in the electronic device 10 in the inserted state. When the gutter 200 is moved in the direction of the analysis device 100 with the sample D (e.g., urine strip) seated on a portion (e.g., the end) of the gutter 200, the analysis device 100 ) may be used to analyze a portion (e.g., test item (or color item)) of the sample (e.g., urine strip (D)). Meanwhile, without being limited to the examples described and/or shown, the electronic device (10) ) may include various types of medical devices for analyzing the various types of specimens (D) described above, and personal electronic devices such as smart phones.

According to various embodiments, as will be described later, the analysis device 100 is implemented to obtain a plurality of different color values measured from the sample D and obtain result information corresponding to the plurality of color values obtained. It could be a device that works. The result information may mean the value of substances related to living organisms, such as the concentration of biological substances. As shown in FIG. 1, the analysis device 100 may be provided in a single number in the electronic device 10, but is not limited to the examples described and/or shown and may be provided in a plurality in the electronic device 10. It may be provided. When a plurality of analysis devices 100 are implemented, a plurality of analysis devices 100 may be provided by being disposed on a specific substrate (eg, printed circuit board (PCB)).

2. Configuration of the electronic device 10

Below, examples of configurations of the electronic device 10 according to various embodiments will be described.

FIG. 3 is a diagram illustrating an example of the configuration of the electronic device 10 according to various embodiments. FIG. 4 is a diagram illustrating another example of the configuration of the electronic device 10 according to various embodiments.

FIG. 5 is a graph illustrating the relationship between the color sensor array 310 and the color sensor (or color value) according to various embodiments.

According to various embodiments, referring to FIGS. 3 and 4 , the electronic device 10 includes a color sensor array 310 and a light source 320. It may include a processor 330 and an optical member 340. However, without being limited to the examples described and/or shown, the electronic device 10 may be implemented to include more devices and/or fewer devices. For example, the electronic device 110 may be implemented to further include a communication circuit and/or a communication interface for communicating with other external electronic devices.

According to one embodiment, referring to FIG. 3, an analysis device 100 including a color sensor array 310, a light source 320, and a processor 330 may be provided. According to another embodiment, referring to FIG. 4 , an analysis device 100 including a color sensor array 310 and a processor 330 may be provided separately from the light source 320. In other words, the light source 320 may be implemented to be provided separately from the analysis device 100. The analysis device 100 is a single board (e.g., printed circuit board (PCB)) on which the above-described components (e.g., color sensor array 310, light source 320, and/or processor 330) are disposed. ), but is not limited to the examples described and/or shown, and the analysis device 100 may be implemented in various types of forms.

According to various embodiments, the color sensor array 310, as shown in FIG. 5, includes a plurality of sensors (e.g., a first sensor 310a) for measuring a plurality of color values for the specimen D. , the second sensor 310b, the third sensor 310c, the fourth sensor 310d, the fifth sensor 310e, and the sixth sensor 310f). The plurality of sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, fifth sensor 310e, sixth sensor 310f) Each may be located in a different portion of a substrate (not shown) included in the sensor array 310. For example, the plurality of sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, fifth sensor 310e, sixth sensor (310f)) Each may be a photo diode implemented to detect (or sense) a specific color. The specific colors include green (G), orange (O), yellow (Y), violet (V), blue (B), and/or red (R). However, the sensor may be implemented to detect more colors without being limited to the example described. Meanwhile, the number of sensors shown in FIG. 5 is not limited, and the sensors included in the sensor array 310 may be implemented in various numbers. For example, the number of sensors may be three (e.g., R, G, B).

According to various embodiments, at least some of the plurality of color values measured by the color sensor array 310 may be related to each other. For example, color values that are associated with each other may be associated with sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, fifth sensor 310e, This may mean that the position correlation (P) and color correlation (C) of the sixth sensor 310f are greater than preset values (eg, P1, C1).

For example, the position correlation (P) may be calculated from the sensors (e.g., the first sensor 310a, the second sensor 310b, the third sensor 310c, and the fourth sensor 310d) on the sensor array 310. ), the fifth sensor 310e, and the sixth sensor 310f). As an example, it may be defined that the closer the distance between the sensors is, the larger the location correlation (P) is, and the longer the distance between the sensors is, the smaller the location correlation (P) is.

Also, for example, the color correlation C may be determined by sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, fifth sensor ( It may be related to the wavelength band of the color value detected by each of the sixth sensor 310e) and the sixth sensor 310f). For example, the color correlation (C) may be determined depending on the degree of overlap between each wavelength band. For example, the color correlation (C) may be defined as high when the degree of overlap is large or when the degree of overlap is small. For example, as shown in [Equation 1] below, the difference between the overlapping band (or degree) (a) and the non-overlapping band (b) of the wavelength bands of the color values detected by the color sensors is It can be defined that the larger the color correlation (C) is, the smaller the overlapping band (a) and the non-overlapping band (b) are, the smaller the color correlation (C) is. In other words, when the overlapping bands are large, the interference effect is large, so the color correlation (C) is understood to be large, and when the overlapping bands are small, the color correlation (C) is large because they can be used for amplification. It can be understood that

Alternatively, without being limited to what is described in [Equation 1] above, it may be understood that the color correlation (C) is large when each of a or b is large.

Accordingly, referring to the first sensor correlation graph 500 of FIG. 5, the sensor having the greatest correlation with the first sensor 310a may be defined as the second sensor 310b. For example, referring to 500 in FIG. 5, the position correlation (P) with the first sensor 310a is greater than the first threshold value (P1), and the color correlation (C) is greater than the second threshold value (C1). The larger second sensor 310b may be defined as the sensor with the greatest correlation with the first sensor 310a. At this time, the sensor with the greatest correlation with the second sensor 310b may naturally be determined as the first sensor 310a.

According to various embodiments, there are a plurality of sensors whose position correlation (P) and color correlation (C) for a specific sensor (e.g., the first sensor 310a) exceed the threshold values (P1, C1). In this case, the sensor with the largest sum of the position correlation (P) and the color correlation (C) among the plurality of sensors has the greatest correlation with the specific sensor (e.g., the first sensor 310a). can be selected as

For a specific example, when the first sensor 310a is a sensor for detecting red (R) and the second sensor 310b is a sensor for detecting blue (B), the first sensor 310a and the second sensor 310a are used to detect blue (B). Since the position correlation (P) and color correlation (C) between the two sensors 310b are above the threshold,

Meanwhile, without being limited to the examples shown and/or described, the sensor having the greatest correlation with the first sensor 310a may be defined as a sensor other than the second sensor 310b.

According to various embodiments, the values of the sensors determined to have the greatest correlation (e.g., the first sensor 310a and the second sensor 310b) correct each other's values (e.g., interfere with each other's values). It can be used to reduce and/or amplify the size of the value, and the specific method will be described later.

According to various embodiments, the light source 320 may be implemented to provide light to the specimen D. The specimen D that receives light from the light source 320 may output light associated with a plurality of colors. Accordingly, the sensor array 310 (e.g., a plurality of sensors 310a, 310b, 310c, 310d, 310e, 310f) detects a plurality of colors corresponding to the plurality of colors from the light output from the specimen D. For example, the light source 320 may include an LED (light emitting diode), a laser, etc., and is not limited to the example described, and may provide light to the specimen D. It can be implemented in the form

According to various embodiments, the processor 330 may control at least one other component (e.g., a hardware or software component) of the electronic device 10 connected to the processor 330 by, for example, executing software. and can perform various data processing or calculations. Examples of operations of the processor 330 will be described further later. According to one embodiment, as at least part of data processing or computation, processor 330 loads instructions or data received from other components into volatile memory, processes the instructions or data stored in the volatile memory, and outputs the resulting data. It can be stored in non-volatile memory. According to one embodiment, the processor 330 includes a main processor (e.g., a central processing unit or an application processor) and an auxiliary processor that can operate independently or together (e.g., a graphics processing unit, an image signal processor, a sensor hub processor, or communication processor). Additionally or alternatively, a coprocessor may be configured to use less power than the main processor or to specialize in designated functions. The auxiliary processor may be implemented separately from the main processor or as part of it.

For example, the processor 330 may be implemented to process a plurality of color values output from the color sensor array 310 and obtain result information based on the processing of the plurality of color values.

For example, the processor 330 acquires a plurality of color values output from the color sensor array 310, and the obtained plurality of color values are implemented in the electronic device 10 outside the analysis device 100. The obtained plurality of color values may be transmitted to a processor (not shown) of the electronic device 10 so that they are analyzed by a processor (not shown) and result information is obtained.

Also, for example, the processor 330 acquires a plurality of color values output from the color sensor array 310, and the obtained plurality of color values are analyzed by another external electronic device (e.g., a server) to provide result information. The obtained plurality of color values may be transmitted to an external electronic device (eg, server) so that .

According to various embodiments, the optical member 340 may be provided to change the characteristics of light. For example, the optical member 340 may include a mirror member implemented to reflect light, a refractive member to control the refractive index of light, etc. For example, the characteristics of light output from the light source 320 may be changed by the optical member 340 and transmitted to the specimen D. As an example, light output from the light source 320 may be reflected and/or refracted at least once by the optical member 340 and transmitted to the specimen D. Also, for example, the characteristics of light output from the specimen D may be changed by the optical member 340 and transmitted to the color sensor array 310. As an example, light output from the specimen D may be reflected and/or refracted at least once by the optical member 340 and transmitted to the color sensor array 310.

3. Operation of electronic device 10

Below, examples of operations of the electronic device 10 according to various embodiments will be described.

Hereinafter, unless otherwise specified, the operation of the electronic device 10 may be understood as an operation of the electronic device 10 performed based on the execution of computer code (or instructions) by the processor 330. At this time, the operation of obtaining result information by analyzing a plurality of values as described above is performed not by the processor 330 of the analysis device 100, but by a processor implemented separately from the analysis device 100 and/or an external electronic device ( It is obvious to those skilled in the art that it can be performed by, e.g., a server).

3.1. Color value correction and result information acquisition operations

FIG. 6 is a flowchart illustrating an example of an operation for correcting color values of the electronic device 10 and obtaining result information, according to various embodiments. According to various embodiments, the operations shown in FIG. 6 are not limited to the order shown and may be performed in various orders. Additionally, according to various embodiments, more operations may be performed, or at least one operation less than the operations shown in FIG. 6 may be performed.

FIG. 7 is a diagram illustrating an example of an operation to obtain result information by correcting interrelated color values of the electronic device 10 according to various embodiments. Below, FIG. 6 will be further described with reference to FIG. 7 .

According to various embodiments, the electronic device 10 (eg, processor 330) may identify a plurality of values based on a plurality of color sensors in operation 601. For example, referring to FIG. 7, the electronic device 10 detects the sensor array 310 based on receiving light output from the specimen D using the sensor array 310 included in the analysis device 100. ) (e.g., a first sensor 310a, a second sensor 310b, a third sensor 310c, a fourth sensor 310d, a fifth sensor 310e, a sixth sensor ( A plurality of values 700 detected by 310f)) can be obtained. The plurality of values are generated from a plurality of sensors (e.g., the first sensor 310a, the second sensor 310b, the third sensor 310c, the fourth sensor 310d, the fifth sensor 310e, and the sixth sensor 310e). This corresponds to the colors implemented to be detected by the sensor 310f, and may mean a plurality of color values. For example, the n-th value corresponds to the n-th sensor and may correspond to the color detected by the n-th sensor (n=1, 2, 3, 4, 5, 6). Meanwhile, it is obvious to those skilled in the art that the sensors may be implemented in various numbers without being limited to the numbers described and/or shown.

According to various embodiments, the electronic device 10 (eg, processor 330) may normalize a plurality of values in operation 603. For example, the electronic device 10 may include a plurality of sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, fifth sensor 310e). ), a normalization operation to compare and analyze a plurality of values 700 may be performed based on at least one normalization value measured by each of the sixth sensors 310f). In one embodiment, the normalization operation may include a max-min normalization operation. For example, the at least one normalization value may be applied to a plurality of sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, fifth sensor ( It may include a maximum value (max value) and a minimum value (min value) measured by each of the sixth sensor (310e) and the sixth sensor (310f)). As an example, the electronic device 10 includes a plurality of sensors (e.g., first sensor 310a, second sensor 310b, third sensor 310c, fourth sensor 310d, and fifth sensor 310e). , the sixth sensor 310f), as the maximum value, and the white part of the electronic device 100 disposed in front of the analysis device 100 (e.g., the frame inside the electronic device 10, and/or the gutter) An operation may be performed to obtain the measured value (part of 200) and obtain the value in the absence of the sample (D) as the minimum value. Accordingly, the electronic device 10 may perform normalization on each of the plurality of values as shown in [Equation 2] below.

According to various embodiments, the electronic device 10 (eg, processor 330) may correct at least some of the normalized values in operation 605. For example, referring to FIG. 7, at least some of the plurality of values 700 (e.g., the first value 710a, the second value 720a, the third value 730a, and the fourth value 740a) ), and the fifth value 750a and the sixth value 760a) may be related to each other. The meaning of being related means that the degree of association (u1, u2, u3) between each value is greater than or equal to the threshold, and as described above with reference to FIG. 5 as a specific example, the degree of association (P) and color are related to each other. This may mean that each degree (C) is a value between sensors that is above a threshold. Alternatively, it may mean that the sum of the positional correlation (P) and the color correlation (C) is the values of sensors that are greater than or equal to the threshold. In this case, as shown in FIG. 7, the associated values may interfere with each other and/or be used to amplify each other. The electronic device 10 may obtain a plurality of corrected values by performing correction on another value (e.g., first value) using one value (e.g., second value) among the related values. This will be described in more detail later with reference to FIG. 8.

According to various embodiments, the electronic device 10 may display at least some of the plurality of values 700 (e.g., the first value 710a, the second value 720a, the third value 730a, and the first value 700). At least as part of the operation of identifying the fourth value 740a, the fifth value 750a, and the sixth value 760a, information about highly correlated sensors (or values) pre-stored in the memory 70 An operation may be performed to compare information on the identified values 700 and identify values that are related to each other based on the comparison result. For example, the positional correlation (P) and/or the color correlation (C) between sensors are calculated in advance, and the most related sensors are determined in advance, so that the sensors are related to each other and/or the values corresponding to the sensors are related to each other. Information about may be stored in advance in the memory 70. Without being limited to the example described, the electronic device 10 associates the position correlation (P) and the color correlation (C) with each other by calculating each time the plurality of values 700 are obtained from the sensor array 310. It may also be implemented to identify a value.

According to various embodiments, the electronic device 10 (eg, processor 330) may obtain result information based on a plurality of corrected values at 607. For example, the electronic device 10 may be implemented to obtain specific result information based on comparing a plurality of pre-stored values of a plurality of sensors and a plurality of result information corresponding thereto with a plurality of corrected values. This can be done, and this will be described in more detail later with reference to FIG. 9.

3.1.1 Calibration operation based on associated values

FIG. 8 is a flowchart illustrating an example of a correction operation based on interrelated values of the electronic device 10, according to various embodiments. According to various embodiments, the operations shown in FIG. 8 are not limited to the order shown and may be performed in various orders. Additionally, according to various embodiments, more operations may be performed, or at least one operation less than the operations shown in FIG. 8 may be performed.

According to various embodiments, the electronic device 10 (eg, the processor 330) may identify first and second values among a plurality of values that are related to each other at 801. Since operation 801 of the electronic device 10 may be performed in the same manner as at least part of the operation 603 of the electronic device 10 described above, redundant description will be omitted.

According to various embodiments, the electronic device 10 (e.g., processor 330) corrects the second value based on the first value in operation 803, and corrects the second value based on the second value in operation 805. 1 The value can be corrected. As described above, the correction is to remove and/or amplify values that interfere with each other between related values.

In one embodiment, the electronic device 10, as at least part of the operation of correcting a specific value (e.g., a first value), adjusts a value (e.g., a second value) associated with the specific value, as shown in [Equation 3] below. ), and an operation of dividing a specific value (e.g., first value) by the identified associated value (e.g., second value) may be performed.

In one embodiment, the electronic device 10, as at least part of the operation of correcting a specific value (e.g., a first value), adjusts a value (e.g., a second value) associated with the specific value, as shown in [Equation 4] below. ) may be identified, and an operation of subtracting a specific value (e.g., first value) from the identified associated value (e.g., second value) may be performed.

In one embodiment, the electronic device 10, as at least part of the operation of correcting a specific value (e.g., a first value), adjusts a value (e.g., a second value) associated with the specific value, as shown in [Equation 5] below. ), and an operation of dividing a specific value (e.g., first value) by not only the identified associated value (e.g., second value) but also the remaining values (e.g., third to sixth values) can be performed.

Meanwhile, it is obvious to those skilled in the art that in the described equations (e.g., equations 3 to 5), additional arithmetic operations can be added.

According to various embodiments, the electronic device 10 may vary the degree of correction depending on the degree of correlation between values. For example, referring to [Equation 3], the electronic device 10 sets the size of β larger as the degree of correlation between values increases in [Equation 6] below, and sets the size of β as the degree of correlation is small. It can be set small.

Accordingly, the electronic devices 10 have a high degree of correlation with each other, and can perform a more accurate correction operation for related values that cause more interference or require more amplification.

3.1.2 Result information acquisition operation

FIG. 9 is a flowchart illustrating an example of an operation for obtaining result information of the electronic device 10 according to various embodiments. According to various embodiments, the operations shown in FIG. 9 are not limited to the order shown and may be performed in various orders. Additionally, according to various embodiments, more operations may be performed, or at least one operation less than the operations shown in FIG. 9 may be performed.

According to various embodiments, the electronic device 10 (eg, processor 330) may obtain a plurality of corrected values at 901. Since operation 901 of the electronic device 10 may be performed in the same manner as operations 605 and 803 to 805 of the electronic device 10 described above, redundant description will be omitted.

According to various embodiments, the electronic device 10 (eg, processor 330) may reflect weights corresponding to each of the plurality of corrected values at 903.

According to various embodiments, the electronic device 10 (e.g., processor 330) may obtain result information at 905 based on the weights corresponding to each of the plurality of corrected values and the plurality of corrected values. there is. For example, the electronic device 10 may pre-store a plurality of result information (eg, concentration of a biological substance) and values for each color corresponding to the plurality of result information in a memory (not shown). The electronic device 10 may obtain specific result information from among a plurality of result information based on comparing the pre-stored values for each color and the identified corrected values for each color. For example, the electronic device 10 provides specific result information (e.g., specific concentration of bio-derived material) with the smallest sum of the subtracted values, based on subtracting the pre-stored values for each color from the identified corrected colors. ) can be selected as the final result information. At this time, referring to [Equation 7] below, for each specific result information (e.g., specific concentration of bio-derived material), a greater weight (δ) is applied to the subtracted value for a specific color with high accuracy in order to analyze the result information. may be reflected, and/or for specific colors with low accuracy, a smaller weight (δ) may be reflected in the subtracted value.

Meanwhile, without being limited to the described example, the electronic device 10 may be implemented to determine whether there is a correspondence by reflecting a weight on each of the identified corrected values and the pre-stored corresponding values and then subtracting them.

3.2 Operation of sequentially detecting values with low correlation

FIG. 10 is a flowchart illustrating an example of an operation of sequentially detecting values with a low correlation of the electronic device 10, according to various embodiments. According to various embodiments, the operations shown in FIG. 10 are not limited to the order shown and may be performed in various orders. Additionally, according to various embodiments, more operations may be performed, or at least one operation less than the operations shown in FIG. 10 may be performed.

FIG. 11 is a flowchart illustrating an example of an operation of sequentially measuring values with low correlation using the sensor array 310 of the electronic device 10, according to various embodiments. Below, FIG. 10 will be further described with reference to FIG. 11 .

According to various embodiments, the electronic device 10 obtains a plurality of first values using a first group of color sensors among the plurality of color sensors in operation 1001, and acquires a plurality of first values using the plurality of color sensors in operation 1003. A plurality of second values may be obtained using the second group of color sensors. For example, referring to FIG. 11, after the analysis of the sample D is started, the electronic device 10 uses sensors with low correlation with each other at different times (e.g., a first time and a second time). An operation may be performed to measure the values of the sensors (e.g., the first sensor 310a and the sixth sensor 310f, and/or the second sensor 310b and the third sensor 310c). For example, among the plurality of sensors 310a, 310b, 310c, 310d, 310e, and 310f, sensors with a degree of correlation lower than a threshold may be selected as one group. The threshold at this time may be set to be different from the threshold for selecting sensors related to each other (e.g., may be set lower). Accordingly, the electronic device 10 sequentially uses a specific group of sensors (e.g., the first sensor 310a and the sixth sensor 310f) at different times (e.g., the first time and the second time). and/or an operation of measuring the value of the sample D may be performed using the second sensor 310b and the third sensor 310c. In other words, values can be measured using different groups of sensors at different times.

According to one embodiment, the electronic device 10 turns on (or activates) only the sensors of the same group at each time as at least part of the operation of measuring values using different groups of sensors at different times. The action can be performed.

According to another embodiment, the electronic device 10 turns on (or activates) all sensors at different times as at least part of the operation of measuring values using different groups of sensors at different times. , the light output from the specimen (D) can be guided to a specific group of sensors using an optical member.

According to various embodiments, the electronic device 10 normalizes the plurality of first values and the plurality of second values in operation 1005, and normalizes the plurality of first values and the plurality of second values in operation 1007. Based on this, result information can be obtained. Since operations 1005 and 1007 of the electronic device 10 can be performed in the same manner as the operations of the electronic device 10 described above in the table of contents in “3.1,” redundant descriptions will be omitted.

3.3 Calibration operation based on reference values for each measurement environment

FIG. 12 is a flowchart illustrating an example of a calibration operation based on a reference value for each measurement environment of the electronic device 10, according to various embodiments. According to various embodiments, the operations shown in FIG. 12 are not limited to the order shown and may be performed in various orders. Additionally, according to various embodiments, more operations may be performed, or at least one operation less than the operations shown in FIG. 12 may be performed.

FIG. 13 is a flowchart illustrating an example of an operation of measuring a reference value for each environment of the electronic device 10, according to various embodiments. Below, FIG. 12 will be further described with reference to FIG. 13 .

According to various embodiments, the electronic device 10 may store a plurality of result information and a first reference color value in operation 1201. For example, referring to FIG. 13, imaging deviation may occur depending on the environment (1301, 1302) in which the sample (D) is measured, so even for the same sample (D), different values are measured for each environment (1301, 1302). This may occur, so correction for this is necessary. Therefore, as described above in “3.1 Table of Contents,” the electronic device 10 provides information about the result information (e.g., concentration of biomaterials) and information about the colors and values of each result information, as well as information about the result information. As information representing the measured environment, information on a reference color value (e.g., the first reference color value 1311) may be stored in advance. Referring to FIG. 13, the reference color value is determined by all or at least some of the plurality of sensors 310a to 310f, where the color of the sample D is unchanged (e.g., in the case of a urine strip, the substrate of the urine strip ( It may be a value or an average value measured from a portion of the board), an internal frame of the electronic device 10, and/or a portion of the gutter 200.

According to various embodiments, the electronic device 10 identifies a plurality of values and a second reference color value based on a plurality of color sensors in operation 1203, and identifies the first reference color value and the second reference color value in operation 1205. 2 A plurality of values may be corrected to a plurality of first values based on the difference between the reference color values. For example, the electronic device 10 uses the sensor array 310 to display not only a plurality of values for each of the plurality of sensors 310a to 310f but also a reference color associated with the current environment (e.g., the second environment 1302). A value (e.g., second reference color value 1312) may be measured. The electronic device 10 may reflect the difference between the pre-stored first reference color value 1311 and the measured second reference color value 1312 in the measured values of the plurality of sensors 310a to 310f. . For example, if the currently measured second reference color value 1312 is higher than the first reference color value 1311, the electronic device 10 increases the measured color values by the difference, or if the currently measured second reference color value 1312 is lower than the first reference color value 1311, the electronic device 10 increases the measured color values by the difference. can be made as small as the difference. As an example, the electronic device 10 may reflect the ratio between the pre-stored first reference color value 1311 and the measured second reference color value 1312 in the plurality of measured values, but is limited to the example described. The difference between the reference color values 1311 and 1312 may be reflected in various ways.

According to various embodiments, the electronic device 10 normalizes the plurality of first values in operation 1207, corrects at least some of the normalized first values in operation 1209, and performs operation 1211. , Result information can be obtained based on the plurality of corrected first values. Operations 1207 to 1211 of the electronic device 10 may be performed in the same manner as operations 603 to 607 of the electronic device 10 described above in “Table of Contents 3.1,” so overlapping descriptions will be omitted.

Meanwhile, without being limited to the described example, the electronic device 10 does not perform an operation to reflect the difference between the first reference color value 1311 pre-stored before the normalization and the measured second reference color value 1312. Alternatively, it may be implemented to perform an operation that reflects the difference between the first reference color value 1311 and the measured second reference color value 1312 pre-stored in a plurality of corrected values.

3.4 Error detection operation

FIG. 14 is a flowchart illustrating an example of a calibration operation based on a reference value for each measurement environment of the electronic device 10, according to various embodiments. According to various embodiments, the operations shown in FIG. 14 are not limited to the order shown and may be performed in various orders. Additionally, according to various embodiments, more operations may be performed, or at least one operation less than the operations shown in FIG. 14 may be performed.

According to various embodiments, in operation 1401, the electronic device 10 may identify a plurality of values based on a plurality of color sensors 310a to 310f.

According to various embodiments, the electronic device 10 determines whether a specific color value corresponds to 0 in operation 1403, and if the specific color value is 0 (1403-Y), generates error information in operation 1405. can be obtained. The electronic device 10 refrains from analysis operations based on the acquired error information or displays visual, auditory, and/or tactile content indicating an error through an output device (e.g., LED, display, speaker, haptic module, etc.). may be provided, and/or information may be transmitted to an external electronic device through a communication circuit (not shown) so that the content is provided through the external electronic device.

Claims (1)

In a method of operating an electronic device,
Obtaining a plurality of color values associated with a specific object using a plurality of color sensors included in a color sensor array of the electronic device;
normalizing the plurality of color values;
obtaining a plurality of corrected color values based on at least a first part of the normalized plurality of color values and at least another second part associated with the at least first part; and
Comprising: obtaining specific result information associated with the plurality of correction color values from among the plurality of result information,
How it works.

Images