METHOD FOR CARRYING OUT AT LEAST ONE ANALYTICAL MEASUREMENT USING A MOBILE DEVICE

Abstract

A method for carrying out at least one analytical measurement is described. The method comprises using a mobile device (112) having at least one camera (116). The method further comprises: i) capturing, using the camera (116), a time series of images of at least a portion of at least one medical article (114); ii) deriving, from the time series of images, image-derived position information on the relative position of the mobile device (112) and the medical article (114), thereby generating a first time series of position information; iii) capturing, using at least one sensor device (118) of the mobile device (112), measurement information on the relative position of the mobile device (112) and the medical article (114).(iv) deriving, from the measurement information, position information derived from the measurement of the relative position of the mobile device (112) and the medical article (114), thereby generating a second time series of position information; (v) generating an augmented time series of position information by combining the first time series of position information and the second time series of position information;and vi) providing a user guide, based on the augmented time series of position information, to change the relative position of the mobile device (112) and the medical article (114) in order to cause the user to move the mobile device (112) to at least one target position relative to the mobile device (112) and the medical article (114). In addition, a mobile device (112), a kit (110) for carrying out at least one analytical measurement, a computer program, and a computer-readable storage medium are described.

Description

METHOD FOR CARRYING OUT AT LEAST ONE ANALYTICAL MEASUREMENT USING A MOBILE DEVICE Field of Invention The present invention relates to a method for carrying out at least one analytical measurement using a mobile device. The invention further relates to a mobile device, a kit for carrying out at least one analytical measurement, and a computer program and a computer-readable storage medium. The method and devices can be used, specifically, in medical diagnostics, for example, to quantitatively and / or qualitatively detect one or more analytes in a sample of body fluids, such as to detect glucose in blood and / or interstitial fluid. However, other fields of application of the present invention are also feasible. Background of the Invention In many cases in the field of medical diagnostics, one or more analytes must be detected in samples of a bodily fluid, such as blood, interstitial fluid, urine, saliva, or other types of body fluids. Examples of analytes to be detected include glucose, triglycerides, lactate, cholesterol, or other types of analytes normally present in these body fluids. If necessary, Ref. 341169 allows the selection of an appropriate treatment based on the concentration and / or presence of the analyte. Without limiting its scope, the invention can be described specifically with regard to blood glucose measurements. However, it should be noted that the present invention can also be used for other types of analytical measurements, specifically, analytical measurements using one or more test elements. In general, devices and methods known to those skilled in the art use test elements comprising one or more test chemicals which, in the presence of the analyte to be detected, are capable of performing one or more detectable detection reactions, such as optically detectable detection reactions. With respect to the test chemicals comprising test elements, reference is made, for example, to J. Hoenes et al.: The Technology Behind Glucose Meters: Test Strips, Diabetes Technology & Therapeutics, Volume 10, Supplement 1, 2008, S-10 to S-26. Other types of test chemicals are possible and may be used to carry out the present invention. In analytical measurements, specifically those based on color-formation reactions, evaluating the color change resulting from the detection reaction presents a technical challenge. In addition to the use of specialized analytical devices, such as portable glucose meters, the use of readily available electronic devices, such as smartphones, laptops, and other mobile devices, has become increasingly popular in recent years. Or, as an example, WO 2012 / 13138 6 describes a test apparatus for performing a test, wherein the test apparatus comprises: a receptacle containing a reagent, wherein the reagent is reactive with respect to an applied test sample by developing a color or pattern variation; a portable device, for example, a mobile phone or laptop computer, comprising a processor and an image capture device, wherein the processor is configured to process data captured by the image capture device and generate a test result for the applied test sample. Another method for carrying out at least one analytical measurement using a mobile device having at least one camera is described in EE' 1 963 828 B1. WO 2019 / 238500 Al describes a calibration method for calibrating a mobile device camera. In contrast to laboratory measurements and measurements performed using dedicated analytical measuring devices, various influences must be considered when using mobile computing devices such as smartphones. Specifically, a camera-based evaluation of optical test strips using mobile devices may require capturing images with defined intensity criteria. For example, the captured images may lack brightness and / or specular reflection, specifically in relevant elements such as the test field, reference fields, and / or other elements. In order to enable the mobile computing device to capture images that meet the defined intensity criteria, the mobile device and the object whose image is to be captured can be aligned in a predetermined position relative to each other. For example, the spatial and / or angular orientation can be derived from elements in the captured images that have a known geometry. In general, methods for deriving spatial information from digital images are known in various fields of technology. For example, US 10,357,092 B2 describes a shaving guidance system for guiding a user during a shaving procedure, wherein the system comprises an image sensor configured to record an image of a part of the user's body, an image data analyzer configured to determine a local hair growth direction based on data in the image, a controller configured to generate instructions on a direction in which the hair-cutting device should move according to the determined local hair growth direction, and a prompting system configured to provide instructions to the user. US 9,906,712 B2 describes methods and apparatus for capturing photographs using mobile devices. One example method involves receiving sensor data from a sensor on a mobile device. The example method also includes presenting a user with visual cues, via the mobile device's screen, to guide the user in capturing a photograph with the mobile device's camera. The visual cues are based on the sensor data. US Patent 9,485,416 B2 describes a method for guiding a user in capturing an image of a target object using an image capture device. In one embodiment, the method comprises determining a bounded area for the image to be captured and capturing at least one frame of the image after detecting that the image is within the bounded area. Then, the target object in the at least one captured frame is segmented by separating the target object from the rest of the image. In addition, at least one of the symmetry and self-similarity properties of the segmented target object is determined. Furthermore, at least one image parameter is determined using a sensor. The method then provides inputs to guide the user in capturing a final image of the target object, based on at least one of the symmetry, self-similarity, and at least one specified image parameter. US 10,353,04 9 B2 describes a detector device for determining the orientation of at least one object. The detector device comprises: at least two electronic beacon devices, wherein the electronic beacon device is adapted to be at least one of the object attached to, supported by, and integrated into the object, wherein each electronic beacon device is adapted to direct beams of light toward a detector, wherein the electronic beacon devices have predetermined coordinates in a coordinate system of the object; at least one detector adapted to detect the beams of light that are transferred from the electronic beacon devices toward the detector;at least one evaluation device, wherein the evaluation device is adapted to determine longitudinal coordinates of each electronic beacon device in a detector coordinate system, wherein the evaluation device is further adapted to determine an orientation of the object in the detector coordinate system by using longitudinal coordinates of the electronic beacon devices. With reference to the technical field of genomic testing, US 9, 903,Eí57 B2 describes a test apparatus for performing a test, wherein the test apparatus comprises: a receptacle containing a reagent, wherein the reagent reacts to an applied test sample by developing a color variation or pattern; a portable device, for example, a mobile phone or laptop computer, comprising a processor and an image capture device, wherein the processor is configured to process data captured by the image capture device and produce a test result for the applied test sample 10. Despite the advantages achieved through known methods and devices, several technical challenges remain. Specifically, deriving the spatial and / or angular orientation of the mobile device through image processing continues to present challenges. Specifically, processing several frames per second, such as at least 10 frames per second, is generally possible when using mobile devices with high computing resources. The derived information can then be used to guide the user to the correct image capture position. However, to provide sufficient guidance, a rapid indication is generally required. If mobile devices with limited computing resources must be used, only a limited number of images can typically be processed, for example, only 1 or 2 frames per second.However, this frequency may be too slow to provide proper guidance for the mobile device user. The user may have trouble finding the correct positioning. Problem to be solved It is therefore advisable to provide devices and a method for carrying out at least one analytical measurement that at least partially addresses the challenges mentioned above. Specifically, it is advisable to provide devices and methods that allow for quick, efficient, and appropriate user guidance for carrying out the analytical measurement using a mobile device. More specifically, it is advisable to provide means and methods for carrying out the analytical measurement using mobile devices with low computing power. Summary of the Invention This problem is addressed by a method for carrying out at least one analytical measurement, using a mobile device, a kit for carrying out the at least one analytical measurement, and a computer program and a computer storage medium with the features of the independent claims. Advantageous embodiments, which can be obtained individually or in any arbitrary combination, are listed in the dependent claims, as well as throughout the description. As used hereafter, the terms "have," "comprising," or "include," or any arbitrary grammatical variation thereof, are used non-exclusively. Thus, these terms can refer to a case in which, besides the characteristic introduced by these terms, there are no additional characteristics present in the entity described in this context, as well as to a case in which one or more additional characteristics are present. By way of example, the expressions "A has B," "A comprises B," and "A includes B" can refer to a case where, besides B, there is no other element present in A (i.e., a situation where A consists solely and exclusively of B), or to a case where, besides B, one or more additional elements are present in an entity A, such as element C, elements C and D, or even additional elements. Furthermore, it should be noted that expressions such as "at least one," "one or more," or similar expressions indicating that a feature or element may be present once or more than once will generally be used only once when introducing the respective feature or element. From now on, in most cases, when referring to the respective feature or element, the expressions "at least one" or "one or more" will not be repeated, regardless of whether the respective feature or element may be present one or more times. b Furthermore, as used hereafter, the expressions "preferably," "more preferably," "particularly," "more particularly," "specifically," "more specifically," or similar expressions are used in conjunction with optional features without restricting alternative possibilities. Thus, the features presented by these expressions are optional features and are not intended to limit the scope of the claims in any way. As anyone skilled in the art will recognize, the invention can be implemented using alternative features.Similarly, it is intended that the features presented in one embodiment of the invention or similar expressions are optional features, without in any way limiting the alternative embodiments of the invention, without in any way limiting the scope of the invention, and without in any way limiting the possibility of combining the features presented in this way with other optional or non-optional features of the invention. In the first aspect of this introduction, a method for carrying out at least one analytical measurement is described. The method involves using a mobile device that has at least one camera. The method comprises the following steps, which, for example, can be carried out in the specified order. However, it should be noted that a different order is also possible. Furthermore, it is also possible to carry out one or more steps of the method once or repeatedly. In addition, it is possible to perform two or more of the steps of the method simultaneously or in a timely overlapping manner. The method may include other steps of the method that are not listed. The method comprises: i) capture, using the camera, a chronological series of images of at least a part of at least one medical article; ii) to derive, from the chronological series of images, position information derived from the image in a relative position of the mobile device and the medical article, thus generating a first chronological series of position information; iii) capture, by using at least one sensor device of the mobile device, measurement information on the relative position of the mobile device and the medical item; (iv) to derive, from the measurement information, position information derived from the measurement of the relative position of the mobile device and the medical article, thus generating a second chronological series of position information; (v) generating an augmented time series of position information by combining the first time series of position information and the second time series of position information; and (vi) providing guidance to a user, based on the augmented time series of position information, to change the relative position of the mobile device and the medical item in order to make the user move the mobile device to at least one target position relative to the mobile device and the medical item. The expression "carrying out an analytical measurement," also called "analytical measurement," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, a quantitative and / or qualitative determination of at least one medical parameter, or more specifically, a quantitative and / or qualitative determination of at least one analyte. Specifically, the analytical measurement may refer to a quantitative and / or qualitative determination of at least one analyte in an arbitrary sample or aliquot of body fluid. For example, body fluid may comprise one or more types of blood, interstitial fluid, urine, saliva, or other body fluids.The result of the determination, for example, can be a concentration of the analyte and / or the presence or absence of the analyte to be determined. Specifically, for example, the analytical measurement might be a blood glucose measurement; therefore, the result of the analytical measurement might be, for example, a blood glucose concentration. In particular, an analytical measurement result value and / or an analyte concentration value can be determined by the analytical measurement, such as a blood glucose concentration value. The expression "analyte concentration value," also often referred to as the analytical measurement result value, as used herein, is a broad expression and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, a numerical indication of an analyte concentration in a sample.The at least one analyte, for example, can be or may comprise one or more specific chemical compounds and / or other parameters. For instance, one or more analytes involved in metabolism, such as blood glucose, can be determined. Additionally or alternatively, other types of analytes or parameters can be determined, for example, a pH value. The method, as noted above, involves using a mobile device that has at least one camera. The term "mobile device," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, a mobile electronic device, more specifically, a mobile communication device, such as a cell phone or a smartphone. Additionally or alternatively, as will be explained in more detail below, the mobile device may also refer to a tablet or other type of portable computer that has at least one camera. The term "camera," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The term "camera" may refer specifically to, among other things, a device having at least one image-generating element configured to record or capture one-dimensional, two-dimensional, or even three-dimensional optical information or data resolved in space. For example, the camera may comprise at least one camera chip, such as at least one CCD chip and / or at least one CMOS chip configured to record images. As used herein, among other things, the term "image" may refer specifically to data recorded by the use of a camera, such as a plurality of electronic readouts from the image-generating device, such as the pixels of the camera chip. The camera, in addition to at least one camera chip or image generation chip, may comprise additional elements, such as one or more optical elements, for example, one or more lenses. For instance, the camera may be a fixed-focus camera, having at least one lens that is fixedly positioned relative to the camera. Alternatively, however, the camera may also comprise one or more variable lenses that can be adjusted automatically or manually. The invention is specifically applicable to cameras as generally used in mobile applications, such as laptops, tablets, or, specifically, cell phones, such as smartphones. Thus, specifically, the camera may be part of a mobile device that, in addition to at least one camera, comprises one or more data processing devices, such as one or more data processors. However, other types of cameras are also feasible. The camera can be, specifically, a color camera. Thus, for each pixel, color information can be provided or generated, such as color values ​​for three colors: R, G, and B. A greater number of color values ​​is also possible, such as four colors for each pixel, for example, R, G, G, and B. Color cameras are generally familiar to those skilled in the art. Thus, as an example, the camera chip may consist of three or more different color sensors, such as color-registering pixels like one pixel for red (R), one pixel for green (G), and one pixel for blue (B). For each of the pixels, such as R, G, and B, the values ​​can be recorded by the pixels, such as digital values ​​in the range of 150 to 255, depending on the intensity of the respective color.Instead of using triple color codes like R, G, B, for example, quad codes such as R, G, G, B can be used. The color sensitivities of the pixels can be generated using color filters or by using appropriate intrinsic sensitivities of the sensor elements used in the camera pixels. These techniques are generally known to those skilled in the art. As noted above, step (i) involves capturing, using the camera, a chronological series of 25 images. The expression "chronological series of images," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, a sequence of images where each image has a different capture time. Specifically, the chronological series of images may comprise at least a first image and at least a second image, where the first image may be captured 10 seconds before the second image, and thus the first image may have a capture time prior to the second image.Furthermore, the time series can comprise multiple images, specifically more than two images, and more specifically, even more than five images, each with a different capture time. For example, capturing the time series of images can involve continuously recording a sequence of images, such as a video or film, or a plurality of individual images. The different capture times of the time series can be equidistant points in time, or they can be unequally spaced points in time. Additionally, capturing the time series of images can specifically involve capturing at least one image using the mobile device's camera. The time series of images can be captured continuously, so that new images can be captured and added to the time series at regular or irregular intervals.Previous images in the time series can be retained or discarded. Time series images can be stored on a data storage device, such as a mobile device or externally. The expression "capture at least one image," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among others, one or more image generation, image recording, image acquisition, or image capture processes. The expression "capture at least one image" may comprise capturing a single image and / or a plurality of images. The capture of at least one image may be initiated by user action or may be initiated automatically, for example, once the presence of at least one object is automatically detected within a field of view and / or within a predetermined sector of the camera's field of view. Such automatic image acquisition techniques are known, for example, in the field of automatic barcode readers, such as 9. In barcode reading applications. Image capture can occur, for example, by acquiring a single or continuous image with the camera, where one or more of the images, either automatically or through user interaction, such as by pressing a button, are stored and used as at least the first or at least the second image, respectively. Image acquisition can be supported by a mobile device processor, and image storage can be carried out on a mobile device data storage device. As noted in more detail above, step (i) comprises capturing the time series of images of at least a portion of at least one medical item. The term "medical item," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, any arbitrary item or article configured for use in the field of medical technology, specifically in the field of medical analysis or diagnostics. The medical item may be configured to perform at least one function in the field of medical technology, specifically in medical diagnostics.Specifically, the medical device may comprise one or more elements, where the plurality of elements may interact with one another or where each element may have a specific function to enable the functionality of the medical device. For example, the medical device may be or may comprise at least one test element, specifically, a test strip, more specifically, an optical test strip. The medical device may further comprise at least one color reference card, specifically to provide a color reference and / or gray level or intensity reference for an analytical measurement using an optical test strip.The medical article may further comprise at least one optical test strip and at least one color reference card, wherein the optical test strip and the color reference card may be two distinct elements of the medical article or wherein the optical test strip may be composed of the color reference card or, alternatively, vice versa. The term "optical test strip," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, an arbitrary element or device configured to carry out a color-change detection reaction, specifically in the presence of at least one specific analyte that is to be detected. The optical test strip may also be called a reagent strip or test element, all three terms referring to the same element. The optical test strip may, in particular, have a reagent test field, sometimes also called simply a test field, containing at least one test chemical for detecting at least one analyte.The optical test strip, as an example (Mode 10), may comprise at least one substrate, such as at least one carrier, with at least one reagent test field applied to or integrated therein. In particular, the optical test strip may further comprise at least one white area, such as a white field, specifically (15) in close proximity to the test field, for example, enclosing or surrounding the test field. The white area may be a separate field arranged independently on the substrate or carrier. However, additionally or alternatively, the substrate or carrier itself may be or comprise the white area (20). For example, the at least one carrier may be in the form of strips, thus providing the test element with a reactive strip. In general, such test strips are widely used and available.A test strip may have a single reagent test field or a plurality of 25 reagent test fields having identical or different test chemicals comprised therein. The term reagent test field, also referred to simply as test field, as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. Specifically, the term may refer, among other things, to a consistent quantity of the test chemical, such as a field, for example, a field of round, polygonal, or rectangular shape, having one or more layers of material, wherein at least one layer of the test field contains the test chemical contained therein. The term "color reference card," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically, among other things, to an arbitrary item that has, arranged in or on it, such as on at least one surface, at least one color reference field having known color or optical properties, such as having one or more colored fields having known color reference values, and furthermore at least one gray reference field having known gray levels.By way of example, the color reference card may be a flat card comprising at least one substrate that has, on at least one surface and / or arranged thereon, at least one color reference field b having known color coordinates and at least one grayscale reference field with known grayscale levels. Specifically, the substrate may have a flat surface with the color reference fields and the grayscale reference fields arranged thereon. The substrate, by way of example, may be or may comprise one or more of a paper substrate, a cardboard substrate, a plastic substrate, a ceramic substrate, or a metal substrate. Laminated substrates are also possible. The substrate, by way of example, may be of the foil or flexible type.However, it should be noted that the substrate can also be implemented on a consumable item, such as the wall of a box, a vial, a container, a medical accessory such as a test strip, or similar items. In this way, the color reference card can also be fully or partially integrated into the optical test strip. Thus, at least one image in the time series of images of at least a part of the medical item may fully or partially include an image of at least a part of the color reference card and / or the optical test strip that has at least one reactive test field. As noted above, step ii) involves deriving, from the time series of images, position information derived from the image in relation to the position of the mobile device and the medical device. The term "position information," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, at least one piece of information that describes at least one element of the position and / or orientation of at least one object. Specifically, position information may describe the position and / or orientation of the object qualitatively and / or quantitatively, such as in one or more absolute and / or relative coordinates.For example, position information can be a numerical element describing the object's position and / or orientation. This numerical element can be provided using one or more coordinates, such as for degrees of space release. For instance, spatial position information can be provided using one-dimensional, two-dimensional, or three-dimensional vectors indicating the object's position in an absolute or relative coordinate system. The coordinate system could be Cartesian, spherical, or cylindrical. Other coordinate systems are also acceptable. The coordinate system can be fixed to the body and / or fixed to the laboratory. Position information can describe an object's position and / or orientation with respect to absolute and / or relative values.The object's position can be described by a position vector indicating the object's center of mass or another reference point, and / or by multiple position vectors indicating multiple reference points, such as the object's outline. Alternatively, an angular orientation can be provided, such as by using one, two, or three angular values ​​with respect to the same or a different coordinate system. For example, Euler angles and / or roll, pitch, and yaw angles can be used. The object's orientation can be described by one or more angles indicating a rotation of the object with respect to the coordinate system and / or with respect to another object, specifically by Euler angles, such as suitable Euler angles and / or Tait-Bryan angles. Other options are also possible. The expression "image-derived information," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, a property of at least one element of information, being generated by one or more means of retrieving, obtaining, calculating, or otherwise deriving it from at least one image. Specifically, the expression "image-derived position information" may thus refer to position information generated by evaluating the image data of at least one image. Specifically, image-derived position information may be obtained by image analysis, demography, and / or image processing.Thus, image-derived position information can be obtained using an algorithm configured to analyze and / or process images, such as a computer vision algorithm. For example, the position information derived from image 20 can be derived from one or more images in the time series of images captured in step i). The means of deriving position information from at least one object wholly or partially visible in an image are generally known to those skilled in the art. Thus, by way of example 25, one or more image-derived parameters of the object can be used, such as at least one of the object's size in the image, the object's orientation in the image, an aspect ratio of two or more sides of the object in the image, or similar parameters.Additionally or alternatively, other optical image analysis techniques can be used, such as triangulation methods, specifically in the case that the mobile device comprises more than one camera. The term "relative position," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, at least one piece of position information indicating the position and / or orientation of at least one object with respect to at least one other object, such as in at least one coordinate system defined by the other object. Thus, relative position may be, or may comprise, at least a spatial position, such as at least a distance between the objects, and / or at least an orientation of at least one object with respect to the at least one other object. Specifically, relative position may describe a relative spatial position and / or orientation of the mobile device with respect to the medical device, or vice versa.The relative position 25 can be obtained by comparing the position information of objects with each other, specifically by comparing the position information of the mobile device with the position information of the medical item. Position information can be obtained in different coordinate systems, and thus obtaining the relative position may involve transforming the position information from one coordinate system to another, specifically, transforming the position information into a common coordinate system. The description provided above may refer to the various coordinate system options. The relative position can be derived from the images in the time series, such as for each image, by using one or more of the techniques mentioned above and / or by using other image evaluation techniques.For this application, it can be assumed that the camera's position corresponds to the mobile device's position. Since the relative position of at least one camera can be derived from the image of at least one part of the medical device, the relative position of the mobile device can be known. Specifically, the camera and the mobile device can be in the same plane. The mobile device's camera can define the mobile device's spatial position with respect to the medical device. By carrying out step ii), as noted above, a first chronological series of position information is generated. The expression "first chronological series of position information," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically, among other things, to a sequence of position information derived at different points in time, such as at least one element of position information derived from each of the images in the chronological series of images. The first chronological series of position information may refer, specifically, to a sequence of position information obtained by deriving the position information from the image data.Thus, the time points in the first time series of position information can correspond to the image capture times in the time series of images captured in step i). The first time series of position information can comprise at least one image-derived position information element for each capture time. As also used herein, the term "first" refers to a nomenclature and is not intended to refer to a classification or order. As noted above, step iii) comprises using at least one sensor device to capture measurement information regarding the relative position of the mobile device and the medical device. The term "sensor device," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, any arbitrary device configured to determine, either qualitatively or quantitatively, at least one piece of measurement information and to generate at least one electronic signal indicating that measurement information.Specifically, the sensor device comprises the mobile device and can be configured to determine, either qualitatively or quantitatively, at least one piece of measurement information from the mobile device, specifically with respect to the medical item. Specifically, the sensor device may be, or may comprise, at least one position sensor configured to detect at least one piece of position information, such as at least one piece of information selected from the group consisting of: spatial position information; spatial velocity information; spatial acceleration information; angular position information; angular velocity information; and angular acceleration information. For example, the sensor device may comprise one or more of the following: an accelerometer; an orientation sensor; a gyroscopic sensor, specifically a 6-axis gyroscopic sensor; and a motion sensor.Thus, the sensor device b can be configured to determine one or more of a movement, speed, or acceleration of the mobile device, specifically, with a measurement frequency of more than 8 Hz, specifically, more than 9 Hz, or more specifically, more than 10 Hz. As discussed in more detail above, at least one sensor device is used to capture measurement information regarding the relative position of the mobile device and the medical device. The term "measurement information," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, at least one piece of information determined by the at least one sensor device, specifically, at least one piece of position information, as discussed above. Specifically, as noted above, measurement information may comprise at least one piece of information indicating at least one of the following: spatial position information of the mobile device; spatial velocity information of the mobile device; spatial acceleration information of the mobile device; angular position information of the mobile device; angular velocity information of the mobile device; angular acceleration information of the mobile device. As noted above, step (iv) comprises deriving, from the measurement information, position information derived from the measurement of the relative position of the mobile device and the medical article, thereby generating a second time series of position information. The expression "derived from measurement," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, the property of an object or at least one piece of information that is derived from the evaluation of measurement information, specifically, measurement information captured by at least one sensor device.Thus, at least one element of measurement-derived position information can be derived from one or more measurements. This involves retrieving, estimating, and / or calculating position information from the measurement data. In contrast to image-derived position information, which is derived from the time series of images, measurement-derived position information is derived, at least partially, from the measurement data of the sensor device. Specifically, measurement-derived position information can be obtained by evaluating and / or analyzing at least one electronic signal generated by the sensor device, where the electronic signal can indicate at least one measurement data point.For example, position information derived from the measurement may be or may comprise position information obtained by evaluating the signal generated from one or more sensor devices comprised by the mobile device, such as one or more of the accelerometer, orientation sensor, gyroscope sensor and / or motion sensor of the mobile device. The expression "second time series of position information," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, a sequence of position information generated at different points in time, specifically through the use of measurement information from the sensor device. The second time series of position information may refer specifically to a sequence of position information obtained by deriving position information from the measurement information of the sensor device captured in step (iii), either alone or in combination with additional information, such as information derived from the images captured in step (i).Thus, the time points of the second time series of position information may correspond to the time points of the measurement information captured in step i). The second time series of position information may comprise at least one element of measurement-derived position information, for example, for each time point of the measurement information captured in step iii). Again, in the context of the expression "second time series of position information," the term "second" is provided as a nomenclature, without classification or indication of a sequence. As noted above, step (v) involves generating an augmented time series of position information. The expression "augmented time series of position information," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, a mixed time series of position information. Specifically, the augmented time series of position information may comprise at least two different time series of position information. For example, the augmented time series of position information comprises the first time series of position information and the second time series of position information. It may also be possible to add additional time series of position information. Thus, the augmented time series of position information can include position information at different points in time, where the points in time can correspond to the points in time of the first and second time series of position information. If position information is available from both the first and second time series of position information at the same point in time, the augmented time series of position information can include position information from only one time series of position information, preferably the first time series of position information. As noted in more detail above, step vi) comprises providing guidance to a user to carry the mobile device into at least one relative target position. The term "guidance," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The expression may refer specifically to, among other things, instructions provided by the mobile device to the user by one or more visual, audible, and / or tactile means. Specifically, guidance may be provided to the user by orienting instructions on a screen of the mobile device, such as verbal instructions and / or pictographic instructions, for example, arrows indicating a direction in which the mobile device should be moved and / or turned.Additionally or alternatively, guidance can also be provided to the user by playing a sound and / or spoken instructions, specifically through a speaker on the mobile device. Another example might involve guiding the user by means of a touch prompt on the mobile device. Furthermore, user guidance can include real-time user guidance. As used herein, among other things, the term "real-time" can refer specifically to a situation in which the mobile device is configured to process data in such a way that the processing results are available within a predetermined period that is short compared to a typical user reaction time. Specifically, the "real-time" user guidance may include instructions to capture the user's attention with a delay of at least 10 ms, more specifically, with a delay of less than 1 ms, after a movement of the mobile device on which the guidance is based. The delay, for example, can be calculated from a point in time when a specific event occurs in the real world, such as when the mobile device is in a specific position. The delay may be limited by the measurement frequency of the sensor device and / or the measurement speed of the camera. A delay due to the late provision of the user guidance should be minimized. The delay of at least 10 ms should be sufficient to guide a user in real time, as the delay may be less than the user's typical reaction time. The term "relative target position," as used herein, is a broad term and should be given the ordinary and customary meaning understood by a person skilled in the art, and should not be restricted to a special or personalized meaning. The term may refer specifically to, among other things, at least one predetermined relative position of one object to another. Specifically, the relative target position may comprise predetermined position information regarding the relative position of the mobile device with respect to the medical device or vice versa. The relative target position may specifically comprise at least a predetermined distance and / or a predetermined angular orientation of the mobile device with respect to the medical device. One or more target positions may be provided, which include the option of one or more target intervals.The relative target position can be a favorable relative position of the mobile device with respect to the medical item 10, as predetermined by at least one empirical measurement and / or by theoretical analysis. Specifically, the relative target position may allow capturing at least one image of the medical device such that the captured image is of sufficient quality to be used for analytical measurement, specifically with respect to image intensity. Furthermore, the relative target position may be, or may comprise, a non-parallel orientation of the mobile device with respect to the medical device. For example, the default distance between the medical device and the mobile device may be in the range of 50 mm to 1 m, for example, in the range of 70 mm to 200 mm, or more specifically, in the range of 80 mm to 150 mm. Additionally, the default angular orientation may comprise an angle between the medical device and the mobile device.By way of example, the angle can be defined by at least one angle between a normal axis of the medical device, for example, a normal axis perpendicular to a surface of the optical test strip and / or color reference card, and an optical axis of the camera, where an angle of 0° can be defined as a parallel orientation. The target position can comprise an angle in the range of 0° to 90°, such as in the range of 15° to 45°, for example, in the range of 20° to 40°. Other target positions may be possible, for example, depending on the measurement conditions. The method may also include carrying out the step i) repeatedly, specifically, repeatedly and continuously. Specifically, step i) can be carried out at a constant frame rate. As used herein, among other things, the term frame can refer specifically to a single image in the time series of images. Thus, a frame rate can refer to the capture frequency of a single image in the time series of images. For example, step i) can be carried out repeatedly at a frame rate of less than 10 frames per second, specifically at a frame rate of less than 5 frames per second, more specifically, at a frame rate in the range of 1 to 2 frames per second. The method may further comprise performing step iii) repeatedly, specifically, repeatedly and continuously. Furthermore, step iii) may be performed at a constant measurement rate. For example, step iii) may be performed at a constant measurement rate of more than 8 Hz, specifically, more than 9 Hz or, more specifically, more than 10 Hz. Furthermore, step vi) may comprise deriving at least one element of the current position information from the augmented time series of position information and comparing the at least one element of current position information with the at least one relative target position. Step vi) may further comprise determining a current time point, for example, by using an internal clock of the mobile device and / or time information retrieved by the mobile device, for example, through transmission from an external device, and in which step vi) may further comprise determining whether the current time point corresponds to a capture time at which an image from the time series of images is captured, and, if so, using the first time series of position information to derive the at least one element of the current position information, and, if not, using the second time series of position information.Thus, whenever an image is captured, the position information derived from that image can be used, while at points in time when no image is captured, the position information derived from the measurement at that specific point in time can be used, for example, the extrapolated position information. In this way, step vi) may comprise providing guidance to the user in such a way as to reduce the difference between at least one element of current position information and at least one relative target position. As noted above, step vi) may comprise providing real-time guidance to the user, specifically with a delay of less than 10 ms, more specifically, with a delay of less than 1 ms. As noted above, the relative position of the mobile device and the medical device may comprise at least one of the following: a distance between the mobile device and the medical device; an angular orientation between the mobile device and the medical device. The relative target position of the mobile device and the medical device may comprise at least one of the following: a predetermined distance between the mobile device and the medical device; a predetermined angular orientation between the mobile device and the medical device; a predetermined distance range between the mobile device and the medical device; a predetermined angular range of angular orientations between the mobile device and the medical device. Specifically, the relative target position of the mobile device and the medical device may comprise a non-parallel relative orientation of the mobile device and the medical device. Furthermore, the analytical measurement may comprise determining the concentration of at least one analyte in a sample of body fluid. Accordingly, the medical device may further comprise at least one optical test strip having at least one reagent test field. The method may further comprise determining the concentration of at least one analyte in the body fluid sample by automatically evaluating at least one color change in the reagent test field after reaction with the body fluid sample. The medical article may further comprise at least one color reference card comprising at least one of: a plurality of reference fields of different colors having known reference color values; a plurality of reference fields of different shades of gray. The color reference card may further comprise at least one placeholder, specifically, at least one ArUco code label. As noted above, the mobile device comprises at least one sensor device. The sensor device of the mobile device may comprise at least one sensor device selected from the group consisting of: an accelerometer; an orientation sensor; a gyroscopic sensor, specifically a 6-axis gyroscopic sensor; and a motion sensor. Furthermore, the first time series can comprise position information derived from the image as a function of the image capture times. The second time series can comprise position information derived from the measurement as a function of time. The measurement-derived position information of the second time series can be assigned to time points that differ from the image capture times. The augmented time series can also comprise position information as a function of time. The position information of the augmented time series can be assigned to time points identical to the image capture times and / or to the time points of the second time series. The method may further include in step iv) using at least one position information item from the first 20 time series of position information. Specifically, step iv) may comprise estimating at least one element of position information derived from measurement based on at least one element of position information from the first time series of 25 position information and at least one element of measurement information captured in step iii).The estimation may comprise at least one of the following: interpolating position information based on position information derived from the image in step ii) and measurement information captured in step iii); extrapolating position information based on position information derived from the image in step ii) and measurement information captured in step iii); determining at least one probable trajectory of the relative position of the mobile device and the medical item, based on at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii). Thus, by way of example, at a specific point in time, for example, a specific capture time, the relative position between the mobile device and the medical item may be derived from the respective image.Therefore, if the current position is determined at a later point in time (if no other images have been captured since the specific point in time of the last image), the relative position of the mobile device and the medical item can be determined by extrapolation, taking into account the latest position information derived from the known image and also considering the measurement information from at least one sensor, for example, information on the speed, acceleration, or tilt of the mobile device. Therefore, even if a low frame rate is used to capture the images, the current position information can be generated through extrapolation. b) Furthermore, the estimation can be carried out for at least one time point based on at least one positional piece of information derived from the image in step ii) for at least one capture time of an image close to that time point. The estimation can also be carried out for a plurality of times that differ from the capture times of the images captured in step i). Furthermore, as noted above, different algorithms can be used to derive image-derived position information from the image time series in step ii). Thus, in step ii), image-derived position information can be derived from the image time series by using at least one target feature of the medical item in the respective image and by using at least one of the following 20: - a size of the target feature; - a position of the target feature; - an orientation of the target characteristic. The target feature may comprise at least one of: an edge of the medical item visible in the respective image; a field of the medical item visible in the respective image, specifically, at least one of a reagent test field, a color reference field, a gray reference field; a placeholder of the medical item, specifically, an ArUco code. As noted above, the method comprises in step vi) providing guidance to a user. The user guidance may specifically comprise at least one of: visual user guidance, specifically, by displaying prompts on a mobile device screen; audio user guidance, specifically, by providing audible instructions to the user through at least one speaker of the mobile device; tactile user guidance, specifically, by providing tactile prompts on the mobile device indicating the relative target position. In addition, the user guide may include information for the user indicating at least one of: a direction in which the mobile device should be moved in order to achieve the target position; an orientation in which the mobile device should be oriented in order to achieve the target position. The method may further comprise providing instructions to the user on an analytical measurement procedure. Specifically, the method may comprise instructing a user to bring at least one medical item into the camera's field of view. Additionally or alternatively, the method may further comprise providing the user with instructions for carrying out the analytical measurement, specifically, at least one instruction selected from the group consisting of: bringing at least one optical test strip having at least one reagent test field, without having a sample of body fluid applied to it, into the camera's field of view; Bring at least one optical test strip having at least one reagent test field, which has a sample of a body fluid applied to it, into the camera's field of view; bring at least one color reference card into the camera's field of view. In a further aspect of the invention, a mobile device is described, wherein the mobile device comprises at least one camera, wherein the mobile device further comprises at least one sensor device for capturing position information, wherein the mobile device is configured to carry out the method according to the present invention, such as in accordance with any of the embodiments described above and / or in accordance with any of the embodiments described in more detail below. The mobile device may comprise at least one processor. The term "processor," as used herein, is a broad term and should be given the ordinary and customary meaning understood by someone skilled in the art, and not restricted to a special or personalized meaning. Specifically, the term may refer, among other things, to an arbitrary logic circuit configured to carry out basic operations of a computer or system, and / or, more generally, to a device configured to perform calculations or logical operations. In particular, the processor may be configured to process the basic instructions that operate the computer or system.By way of example, the processor may comprise at least one arithmetic logic unit (ALU), at least one floating-point unit (FPU), such as a math coprocessor or a numeric coprocessor, a plurality of registers, specifically registers configured to supply operands to the ALU and store the results of operations, and memory, such as L1 and L2 cache memory. In particular, the processor may be a multi-core processor. Specifically, the processor may be or comprise a central processing unit (CPU). Additionally or alternatively, the processor may be or comprise a microprocessor, whereby the processor elements may be contained on a single integrated circuit chip (IC).Additionally or alternatively, the processor may be or may comprise one or more application-specific integrated circuits (ASICs) and / or one or more field-programmable gate arrays (FPGAs) or similar. In another aspect of the invention, a kit is described for carrying out at least one analytical measurement, specifically for determining the concentration of at least one analyte in at least one sample of a body fluid. The kit comprises the mobile device according to the present invention, such as according to any of the embodiments described above or according to any of the embodiments described in more detail below, wherein the kit further comprises at least one medical article. The medical article may further comprise at least one optical test strip having at least one reagent test field. In addition, the kit may comprise at least one color reference card, wherein the color reference card may comprise a plurality of different gray reference fields locally mapped to the test field, and wherein the color reference card may comprise a plurality of different color reference fields having known color reference values ​​and a plurality of different gray reference fields locally mapped to the color reference fields. b In another aspect of the invention, a computer program is described. The computer program comprises instructions that, when executed by a mobile device having a camera, specifically by the mobile device according to the present invention, such as in any of the embodiments described above and / or in any of the embodiments described in more detail below, cause the mobile device to carry out the method according to the present invention, such as in any of the embodiments described above and / or in any of the embodiments described in more detail below. In a further aspect of the invention, a computer-readable storage medium is described, wherein the computer-readable storage medium comprises instructions that, when executed by a mobile device having a camera, specifically by the mobile device according to the present invention, such as in any of the embodiments described above and / or in accordance with any of the embodiments described in more detail below, cause the mobile device to carry out the method according to the present invention, such as in accordance with any of the embodiments described above and / or in accordance with any of the embodiments described in more detail below. The term "computer-readable storage medium," as used herein, may specifically refer to non-transient data storage media, such as a hardware storage medium that has computer-executable instructions stored on it. The data carrier or computer-readable storage medium may be, or specifically comprise, a storage medium such as random-access memory (RAM) and / or read-only memory (ROM). The computer program can also be incorporated as a software product. As used today, a software product can refer to the program as a marketable product. The product can generally exist in an arbitrary format, such as on paper, or on a computer-readable data carrier and / or on a computer-readable storage medium. Specifically, the software product can be distributed via a data network. The methods and devices according to the present invention provide a number of advantages compared to similar methods and devices known in the prior art. Specifically, the method and devices according to the present invention can enable a quick and efficient way to perform analytical measurement, given that the additional use of the sensor device comprised by the mobile device can save computing resources of the mobile device. Thus, using the sensor device of the mobile device to track the user's movement after capturing an image and / or between the capture of two subsequent images in the time series of images can allow for a greater range of use of the mobile device. Furthermore, the method can provide much more convenient and efficient user handling when capturing images of the medical item. The method may also involve using the mobile device's sensor, such as the accelerometer (e.g., a 6-axis gyroscope), to track the user's movement after recording and / or processing an image. Position information derived from the measurement data may be available at much higher frequencies, for example, above 10 Hz, even for mobile devices with limited computing resources. Based on the extrapolated spatial and / or angular position information, the user can then be guided to capture one or more images of sufficient quality to perform at least one analytical measurement. In summary, and without excluding possible additional modalities, the following modalities can be foreseen: Modality 1: A method for carrying out at least one analytical measurement by using a mobile device having at least one camera, wherein the method comprises: i) capture, using the camera, a chronological series of images of at least a part of at least one medical article; ii) to derive, from the chronological series of images, position information derived from the image in a relative position of the mobile device and the medical article, thus generating a first chronological series of position information; iii) capture, by using at least one sensor device - of the mobile device, measurement information on the relative p-position of the mobile device and the medical article; (iv) Derive, from the measurement information, position information derived from the measurement in the relative position 4. The mobile device and the medical article, to generate a second chronological series of position information; (v) generating an augmented time series of position information by combining the first time series b of position information and the second time series of position information; and (vi) providing guidance for a user, based on the augmented time series of position information, to change the relative position of the mobile device and the medical item in order to cause the user to move the mobile device to at least one target position relative to the mobile device and the medical item. Modality 2: The method in accordance with the previous modality, where step i) is carried out repeatedly, specifically, repeatedly and continuously. Mode 3: The method according to the previous mode, wherein step i) is carried out at a constant frame rate. Mode 4: The method in accordance with either of the two previous modes, wherein step i) is carried out repeatedly at a frame rate of less than 10 frames per second, specifically, less than five frames per second. Modality 5: The method in accordance with any of the above modalities, wherein step iii) is carried out repeatedly, specifically, repeatedly and continuously. Modality 6: The method in accordance with any of the above modalities, wherein step vi) comprises b deriving at least one element of the current position information from the augmented time series of position information and comparing the at least one element of current position information with the at least one relative target position. Modality 7: The method in accordance with the previous modality, wherein step vi) comprises determining a current time point, and wherein step vi) further comprises determining whether the current time point corresponds to a capture time in which an image from the chronological series 15 of images is captured, and, if so, using the first chronological series of position information to derive at least one element of current position information, and, if not, using the second chronological series of position information. Modality 8: The method in accordance with either of the two previous modalities, wherein step vi) comprises providing a guide for the user in such a way as to decrease the difference between at least one element of current position information and at least the relative target position 25. 6 Modality 9: The method in accordance with any of the above modalities, wherein step vi) comprises providing real-time user guidance, specifically, with a delay of less than 10 ms, plus 5 specifically, with a delay of less than 1 ms. Modality 10: The method in accordance with any of the above modalities, wherein the relative position of the mobile device and the medical article comprises at least one of: a distance between the mobile device and the medical article; an angular orientation between the mobile device and the medical article. Modality 11: The method in accordance with any of the above modalities, wherein the relative target position of the mobile device and the medical article comprises at least one of: a predetermined distance between the mobile device and the medical article; a predetermined angular orientation between the mobile device and the medical article; a predetermined distance interval between the mobile device and the medical article; a predetermined angular interval of angular orientations between the mobile device and the medical article. Modality 12: The method in accordance with any of the above modalities, wherein the relative target position of the mobile device and the medical article comprises 25 a non-parallel relative orientation of the mobile device and the medical article. Modality 13: The method in accordance with any of the above modalities, wherein the analytical measurement comprises determining the concentration of at least one analyte 3 in a sample of body fluid. Modality 14: The method in accordance with the previous modality, wherein the medical article comprises at least one optical test strip having at least one reagent test field. Modality 15: The method in accordance with the previous modality, wherein the method further comprises determining the concentration of at least one analyte in the body fluid sample by automatic evaluation of at least one color formation of the reagent test field after reaction with the body fluid sample. Modality 16: The method in accordance with any of the three previous modalities, wherein the medical article further comprises at least one color reference card 20 comprising at least one of: a plurality of reference fields of different colors having known reference color values; a plurality of reference fields of different grays. Modality 17: The method in accordance with the previous modality, wherein the color reference card further comprises at least one placeholder, specifically at least one ArUco code label. Mode 18: The method in accordance with any of the above modes, wherein the sensor device of the mobile device comprises at least one sensor device selected from the group consisting of: an accelerometer; an orientation sensor; a gyroscopic sensor, specifically, a 6-axis gyroscopic sensor; a motion sensor. Modality 19: The method in accordance with any of the above modalities, where the first chronological series comprises position information derived from the image as a function of image capture times. Modality 20: The method in accordance with modality 15 above, where the second time series comprises position information derived from measurement as a function of time. Modality 21: The method in accordance with the previous modality, in which the position information derived from the 20 measurement of the second time series is assigned to time points that differ from the image capture times. Modality 22: The method» in accordance with any of the above modalities, wherein step iv) further comprises 25 using at least one position information element from the first chronological series of position information. Modality: The method in accordance with the above modality, wherein step iv) comprises estimating at least one element of position information derived from measurement on the basis of at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii). Modality 24: The method in accordance with the previous modality, wherein the estimation comprises at least one of: interpolating position information based on position information derived from the image derived in step ii) and measurement information captured in step iii); extrapolating position information based on position information derived from the image derived in step ii) and measurement information captured in step iii); determining at least one probable trajectory of the relative position of the mobile device and the medical article, based on at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii). Modality 25: The method in accordance with the previous modality, where the estimation is carried out for at least one time point, or for at least one Or position information derived from the image derived in step ii) for at least one capture time of an image close to the time point. Modality 26: The method· in accordance with any of the three previous modalities, wherein the estimation is carried out for a plurality of times that differ from the capture times of the images captured in step i). Modality 27: The method in accordance with any of the above modalities, wherein, in step ii), the image-derived position information is derived from the time series of images by using at least one objective feature of the medical item in the respective image and by using at least one of the following: - a size of the target feature; - a position of the target feature; - an orientation of the target characteristic. Modality 28: The method in accordance with the previous modality, wherein the target characteristic comprises at least one of: an edge of the medical article visible in the respective image; a field of the medical article visible in the respective image, specifically, at least one of a reagent test field, a color reference field, a gray reference field; a placeholder of the medical article, specifically, an ArUco code. Modality 29: The method in accordance with any of the above modalities, wherein the user guide comprises at least one of: visual user guidance, specifically, by displaying indications on a screen of the mobile device; audio user guidance, specifically, by providing audible instructions to the user by means of at least one speaker of the mobile device; tactile user guidance, specifically, by means of tactile indications of the mobile device indicating the relative target position. Mode 30: The method in accordance with any of the above modes, wherein the user guide comprises information for the user indicating at least one of: a direction in which the mobile device should be moved in order to achieve the target position; an orientation in which the mobile device should be oriented in order to achieve the target position. Modality 31: The method - in accordance with any of the above modalities, where the method also includes 20 guiding the user to take at least one medical item towards a field of view of the camera. Modality 32: The method in accordance with any of the above modalities, wherein the method further comprises providing the user with instructions for carrying out the analytical measurement, specifically, at least one instruction selected from the group" which consists of: taking at least one optical test strip having at least one reagent test field, without having a sample of a body fluid applied to it, into a field of view of the camera; b Bring at least one optical test strip having at least one reagent test field, which has a sample of a body fluid applied to it, into the camera's field of view; bring at least one color reference card into the camera's field of view. Mode 33: A mobile device, wherein the mobile device comprises at least one camera, wherein the mobile device further comprises at least one sensor device for capturing position information, wherein the mobile device is configured to carry out the method in accordance with any of the above modes. Mode 34: The mobile device in accordance with the previous mode, wherein the mobile device comprises at least one processor. Modality 35: A kit for carrying out at least one analytical measurement, specifically for determining the concentration of at least one analyte in at least one body fluid sample, wherein the kit comprises the mobile device according to any of the above modalities relating to the mobile device, wherein the kit further comprises at least one medical item. Modality 36: The kit in accordance with the previous modality, wherein the medical article comprises at least one optical reactive strip having at least one test field of reagent. Modality 37: The kit according to the above modality, further comprising at least one color reference card, wherein the color reference card comprises a plurality of reference fields of 10 different grays locally assigned to the test field, and wherein the color reference card comprises a plurality of reference fields of different colors having known reference color values ​​and a plurality of reference fields of different 15 grays locally assigned to the color reference fields. Mode 38: A computer program comprising instructions that, when executed by a mobile device having a camera, specifically by the mobile device in accordance with any of the 20 preceding modes relating to a mobile device, cause the mobile device to carry out the method in accordance with any of the preceding modes relating to a method. Mode 39: A computer-readable storage medium comprising instructions that, when executed by a mobile device having a camera, specifically by the mobile device in accordance with any of the above modes relating to a mobile device, cause the mobile device to carry out the method in accordance with any of the above modes relating to a method. Brief Description of the Figures Other features and optional embodiments will be described in more detail in the following description of the 10 embodiments, preferably in combination with the dependent claims. Those skilled in the art will recognize that, herein, the respective optional features can be obtained individually as well as in any possible arbitrary combination. The scope of the invention is not limited by the preferred embodiments. The embodiments are illustrated schematically in the figures. Therein, identical reference numbers in these figures refer to identical or functionally comparable elements. In the figures: Figure 1: shows one modality of a kit and a mobile device to carry out at least one analytical measurement; Figure 2: shows a flowchart of modality 25 of a method for carrying out at least one analytical measurement using a mobile device; and Figure 3: shows a flowchart of another modality of a method for carrying out at least one analytical measurement of a mobile device. Detailed Description of the Invention Figure 1 shows an example embodiment of a kit 110 for carrying out at least one analytical measurement in a perspective view. The kit 110 comprises a mobile device 112 and at least one medical article 114. Specifically, the kit 110 can be configured to determine the concentration of at least one analyte in at least one sample of a body fluid. The mobile device 112 comprises at least one camera 116 and at least one sensor device 118 for capturing position information. Thus, the mobile device 112 is configured to carry out the method for performing at least one analytical measurement. The method is shown in Figure 2 and will be explained in more detail below. Reference may be made to the description in Figure 2. The mobile device 112 may further comprise at least one processor 120. Specifically, the processor 120 may be configured, such as through software programming, to carry out and / or support one or more of the 25 steps i) to vi) of the method. In this way, the method may be specifically computer-implemented or computer-controlled. Furthermore, the medical article 114 may comprise at least one color reference card 122 and / or at least one optical reagent strip 124 having at least one reagent test field 126. As can be seen in Figure 1, the medical article 114 may also comprise both the color reference card 122 and the optical reagent strip 124, as an integral part and / or as an overlay of two articles stacked on top of each other or positioned in a predetermined way relative to each other. The color reference card 122 may comprise a plurality of different gray reference fields 128 and / or a plurality of different color reference fields 130 that have known reference color values. The different color reference fields 128 may be locally mapped to the reagent test field 126 and / or the color reference fields 130. The color reference card 122 may further comprise at least one placeholder 132. The placeholder 132 may be, or may comprise at least one ArUco code tag 134. However, other placeholders are also acceptable. Furthermore, the color reference card 122 may comprise at least one positioning element 136. The positioning element 136 may be, or may comprise, a window element 138. The positioning element 136 may be configured to position the optical test strip 124 and / or the reagent test field 126 with respect to the color reference card 122 and to hold the optical test strip 124 and / or the reagent test field 126 in a fixed position. For example, the optical test strip 124 and / or the reagent test field 126 may be visible through the window element 138 when the optical test strip 124 and / or the reagent test field 126 is placed behind the color reference card 122. Figure 2 shows a flowchart of an example of a method for performing at least one analytical measurement. The method involves using mobile device 112, which has at least one camera 116. The method comprises the following steps, which can be performed in the order provided. However, a different order is also possible. It is also possible to perform two or more of the method steps completely or partially simultaneously. It is also possible to perform one, more than one, or even all of the method steps once or repeatedly. The method may include additional method steps that are not listed. The method comprises: i) (indicated by reference number 14 0; capture, by means of camera 116, a chronological series of images of at least a part of at least one medical article 114; or ii) (indicated by reference number 142; to derive, from the chronological series of images, position information derived from the image in a relative position of the mobile device 112 and the medical article 114, thus generating a first chronological series of position information; iii) (indicated by reference number 14 4; to capture, by using at least one sensor device 118 of the mobile device 112, measurement information on the relative position of the mobile device 112 and the medical article 114; iv) (indicated by reference number 14 6; Derive, from the measurement information, position information derived from the measurement of the relative position of mobile device 112 and medical article 114, thus generating a second chronological series of position information; (v) (indicated by reference number 148) generating an augmented time series of position information by combining the first time series of position information and the second time series of position information; and (vi) (indicated by reference number 150) providing guidance to a user, based on the augmented time series of position information, to change the relative position of mobile device 112 and medical article 114 in order to cause the user to move mobile device 112 to at least one target position relative to mobile device 112 and medical article 114. The method may specifically comprise carrying out step (i) repeatedly, more specifically, repeatedly and continuously. Furthermore, in step (ii), the image-derived position information (10) may be derived from the time series of images by using at least one target feature of medical item 114 in the respective image. For example, one or more of a size, position, and / or orientation of the target feature (15) may be used to derive the image-derived position information. In addition, the target feature may be or may comprise one or more of an edge of medical item 114, a field of medical item 114, such as the reagent test field (126), a color reference field (130), or a gray reference field (128), or the position marker (132) of medical item 114. Alternatively or additionally, step iii) can be carried out repeatedly, specifically, repeatedly and continuously. Another example of the method in 25, where the steps of the method can be repeated continuously, is shown in Figure 3 and will be explained in more detail below. This can be referred to in the description of Figure 3. Furthermore, step iv) may involve using at least one element of position information from the first time series of position information. Specifically, step iv) may involve estimating the measurement-derived position information based on at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii). For example, the measured-derived position information may be estimated by interpolating position information based on the image-derived position information from step ii) and measurement information captured in step iii). Additionally, the measured-derived position information may also be estimated by extrapolating position information based on the image-derived position information from step ii) and measurement information captured in step iii).The estimation of position information derived from the measurement may further comprise determining at least one probable trajectory of the relative position of mobile device 112 and medical article 114, based on at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii). Thus, the first time series of position information and the second time series of position information can comprise position information as a function of time. As noted above, the augmented time series generated in step (v) is generated by combining the first time series of position information and the second time series of position information. Thus, the augmented time series of position information can also comprise position information as a function of time.The augmented time series of position information may comprise position information from the first time series of position information and additionally position information from the second time series of position information, specifically for time points where no position information derived from the image of the first time series of position information is available. Furthermore, step vi) may involve deriving at least one element of the current position information from the augmented time series of position information. In this way, it may be possible to compare at least one element of the current position information with the relative target position. The current element of position information may be derived from the first time series of position information if a current time point, at which the current position information is to be determined, corresponds to a capture time when an image from the time series of images is captured. If the current time point does not correspond to a capture time from the time series of images, the current position information may be derived from the second time series of position information.In this way, the user guide can be provided in such a way as to reduce the difference between at least one element of current position information and at least one relative target position. Figure 3 shows a flowchart of another example embodiment of the method for carrying out at least one analytical measurement. The embodiment in Figure 3 may form a more detailed variation of the embodiment shown in Figure 2; therefore, for most terms and options, reference may be made to Figure 2. In Figure 3, a timeline 152 is shown along with a flowchart of the method. On the right side of timeline 152, an example embodiment of the method according to the present invention is shown, for example, according to the example embodiment in Figure 2. In contrast, and for comparison purposes only, a method for carrying out an analytical method without using position information derived from the measurement is shown on the left side of timeline 152.Thus, the right-hand side portion 5 of timeline 152 constitutes an embodiment relating to the present invention, while the steps on the right-hand side of timeline 152 are provided for comparative purposes. The method steps of the method on the right-hand side may correspond to the method steps of Figure 2. Reference may therefore be made to the description in Figure 2. At a point in time ti, the mobile device 112 may be in a relative position too far from the medical article 114 (indicated by reference number 154). Thus, when steps i) and ii) of the method are initially carried out, the user can be guided, based on the position information derived from the image, to decrease the distance (indicated by reference number 160) between the mobile device 122 and the medical article 114. In parallel with the user's movement, steps iii) and iv) can be specifically carried out, where the measurement information from the sensor device 118 of the mobile device 112 can be used to track the user's movement. The current position of the mobile device 112 can be obtained by extrapolating the movement of the mobile device 112 based on the position information derived from the image and the measurement information captured in step iii).In this way, steps v) and vi) can be carried out, where the user guide b can specifically comprise a real-time user guide. As can be seen in Figure 3, steps iii), iv), v), and vi) of method can be carried out repeatedly. Specifically, steps iii) and iv) can be carried out at a constant measurement rate greater than 8 Hz. However, steps i) and ii) of method can be carried out at a constant frame rate, specifically at a frame rate of less than 10 frames per second, more specifically less than five frames per second. Thus, when the mobile device 112 is in the target position relative to the medical article 114 at a time t2, the user can be guided to hold the mobile device 112 in its current position (indicated by reference number 162). At time t3, when the mobile device 112 registers as being in the relative target position 156, another image of at least part of the medical article 114 can be captured, based on which the analytical measurement 25 can be carried out. After the analytical measurement is carried out, the user can be informed that the image capture and / or the analytical measurement were performed (indicated by reference number 164). Conversely, when the sensor device 118 is not or cannot be used to track the movement of the mobile device 112, position information at time point t2 may not be available because the mobile device 112 may not be able to process images within the time period between t1 and t3. Thus, the mobile device 112 may be in a position to close relative to the medical item 114 at time point t3 (indicated by reference number 158). In this case, the user may be guided to increase the distance of the mobile device 112 relative to the medical item 114 (indicated by reference number 166). Thus, the user may have difficulty finding the correct relative target position. List of reference numbers 110 kit 112 mobile device 114 medical article 0 116 camera 118 sensor device 120 processor 122 color reference card 124 optical test strips 126 reagent test field 128 130 grayscale reference field color reference 132 mine position readout 134 ArUco code label 136 positioning element 138 window element 140 capture a time series 142 derive image-based position information 144 capture measurement information 146 derive position information based on the measurement 8. Generate an augmented time series of position information 150 provide a guide for a user 152 timeline 154 Mobile device too far away 156 Mobile device and medical item in relative target position 158 dlS pe • mobile device too close 160 user guide: decrease distance 162 user guide: hold still 164 user guide, analytical measurement performed 16 6 user guide: increase distance It is noted that, as of this date, the best method known to the applicant to put the aforementioned invention into practice is the one that is clear from the present description of the invention.

Claims

or 1. A method for carrying out at least one analytical measurement using a mobile device having at least one camera, characterized in that it comprises: i) capturing, using the camera, a time series of images of at least a part of at least one medical article; ii) deriving, from the time series of images, image-derived position information on the relative position of the mobile device and the medical article, thereby generating a first time series of position information; iii) capturing, using at least one sensor device of the mobile device, measurement information on the relative position of the mobile device and the medical article, wherein the measurement information comprises at least one information element indicating at least one of: spatial position information of the mobile device; spatial velocity information of the mobile device;spatial acceleration information of the mobile device; angular position information of the mobile device; angular velocity information of the mobile device; angular acceleration information of the mobile device; iv) deriving, from the measurement information, measurement-derived position information on the relative position b of the mobile device and the medical article, thereby generating a second time series of position information, wherein step iv) further comprises using at least one element of position information from the first time series of position information, wherein step iv) comprises estimating at least one element of measurement-derived position information on the basis of at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii);15 (v) generating an augmented time series of position information by combining the first time series of position information and the second time series of position information; and (vi) providing guidance for a user, based on the augmented time series of position information, to change the relative position of the mobile device and the medical item in order to cause the user to move the mobile device to at least one target position relative to the mobile device and the medical item. 25; 2. The method according to the preceding claim, characterized in that step vi) comprises deriving at least one element of the current position information from the augmented time series of position information and comparing the at least one element of current position information b with the at least one relative target position.

3. The method according to the preceding claim, characterized in that step vi) comprises determining a current time point, and wherein step vi; further comprises determining whether the current time point 10 corresponds to a capture time at which an image from the time series of images is captured, and, if so, using the first time series of position information to derive at least one element of current position information, and, if not, using the second time series 15 of position information.

4. The method in accordance with any of the preceding claims, characterized in that the relative target position of the mobile device and the medical article comprises a non-parallel relative orientation of the mobile device and the medical article.

5. The method according to any of the preceding claims, characterized in that the analytical measurement comprises determining the concentration of at least one analyte in a sample of a body fluid, wherein the medical article comprises at least one optical test strip having at least one reagent test field.

6. The method according to any of the preceding claims, characterized in that the medical article further comprises at least one color reference card comprising at least one of: a plurality of different color reference fields having known reference color values; a plurality of different gray reference fields.

7. The method according to any of the preceding 10 claims, characterized in that the first time series comprises position information derived from the image as a function of image capture times, wherein the second time series comprises position information derived from the measurement as a function of time, wherein the position information derived from the measurement of the second time series is assigned to time points that differ from the image capture times.

8. The method according to any of the preceding 20 claims, characterized in that the estimation comprises at least one of: interpolating position information based on position information derived from the image derived in step ii) and measurement information captured in step iii); extrapolating position information based on position information derived from the image derived in step ii) and measurement information captured in step iii); determining at least one probable trajectory of the relative position of the mobile device and the medical article, based on at least one element of position information from the first time series of position information and at least one element of measurement information captured in step iii).

9. The method according to any of the preceding claims, characterized in that the user guide 10 comprises information for the user indicating at least one of: a direction in which the mobile device must be moved in order to achieve the target position; an orientation in which the mobile device must be oriented in order to achieve the target position. 15 10. A mobile device, wherein the mobile device comprises at least one camera, wherein the mobile device further comprises at least one sensor device for capturing position information, characterized in that it is configured to carry out the method in accordance with any of the preceding claims.

11. A kit for carrying out at least one analytical measurement, specifically for determining the concentration of at least one analyte in at least one sample of a body fluid, characterized in that it comprises the mobile device 25 in accordance with any of the preceding claims relating to a mobile device, wherein the kit further comprises at least one medical article, wherein the medical article specifically comprises at least one optical test strip having at least one test field of reagent.

12. The kit according to the preceding claim, characterized in that it further comprises at least one color reference card, wherein the color reference card comprises a plurality of 10 reference fields of different grays assigned locally to the test field, and wherein the color reference card comprises a plurality of reference fields of different colors having known reference color values ​​and a plurality of reference fields of 15 different grays assigned locally to the color reference fields.

13. A computer program, characterized in that it comprises instructions which, when executed by a mobile device in accordance with any of the preceding 20 claims relating to a mobile device, cause the mobile device to carry out the method in accordance with any of the preceding claims relating to a method.

14. A computer-readable storage medium 25 characterized in that it comprises instructions which, when executed by a mobile device in accordance with any of the preceding claims relating to a mobile device, cause the mobile device to carry out the method in accordance with any of the preceding claims relating to a method.

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