Analyte level acquisition method and system considering altitude, medium and equipment

Abstract

The invention provides an analyte level acquisition method and system considering altitude, a medium and equipment, and the method comprises the steps: obtaining a target sensor signal generated by an analyte sensor worn by a target object, the target sensor signal being related to the analyte level of the target object; obtaining a target altitude of the position of the target object; and determining an analyte level corresponding to the target sensor signal based on the target altitude, the target sensor signal and a calibration coefficient, the calibration coefficient being determined by the target altitude and a predetermined correspondence, the correspondence being a relationship between the altitude and the calibration coefficient. Therefore, the measurement accuracy can be improved.

Description

Technical Field

[0001] The present disclosure generally relates to the field of biomedical industry, and more particularly to a method, system, medium and apparatus for obtaining analyte levels taking into account altitude. Background Art

[0002] Diabetes is a common disease with high blood sugar as its main sign. Due to insufficient insulin secretion and reduced insulin sensitivity of target tissue cells, a series of metabolic disorders such as protein, fat, water and electrolytes are caused, which can cause damage to multiple systems of the body. The traditional method of detecting the glucose concentration of the target object usually uses fingertip blood sampling. This method has certain limitations. For example, frequent blood sampling may cause pain to the target object, can only provide glucose concentration data at the time of sampling, and cannot detect the changing trend of glucose concentration. If the glucose concentration can be monitored in real time and continuously, the occurrence of hyperglycemia or hypoglycemia can be estimated, providing a basis for the health management of the target object.

[0003] At present, continuous glucose monitoring (CGM) technology can continuously monitor the glucose in the patient's tissue fluid. Taking the continuous glucose monitoring technology based on electrochemical analysis as an example, the glucose sensor used to monitor the glucose concentration generally includes an implantable part, which can be placed subcutaneously to monitor the changes in the glucose concentration in the subcutaneous tissue fluid, thereby being able to predict the glucose concentration in the blood.

[0004] The measurement accuracy of continuous glucose monitoring is usually affected by various factors, such as temperature and sensitivity attenuation. This is usually solved by collecting temperature and compensating the measured value or calibrating with finger blood. However, the measurement accuracy of continuous glucose monitoring needs to be improved. Summary of the invention

[0005] The present disclosure is proposed in view of the above-mentioned situation, and its purpose is to provide a method, system, medium and device for obtaining analyte levels taking altitude into consideration and capable of improving measurement accuracy.

[0006] To this end, a first aspect of the present disclosure provides an analyte level acquisition method taking altitude into consideration, comprising: obtaining a target sensor signal generated by an analyte sensor worn by a target object, the target sensor signal being related to the analyte level of the target object; obtaining a target altitude of a location of the target object; and determining the analyte level corresponding to the target sensor signal based on the target altitude, the target sensor signal and a calibration coefficient, the calibration coefficient being determined by the target altitude and a predetermined corresponding relationship, the corresponding relationship being a relationship between the altitude and the calibration coefficient.

[0007] In the first aspect of the present disclosure, a target sensor signal and a target altitude are obtained, a calibration coefficient is determined by the target altitude and a predetermined correspondence, and then the analyte level is determined based on the target sensor signal and the calibration coefficient. In this case, information related to the analyte level can be obtained through the analyte sensor, and after the target altitude is obtained, the calibration coefficient can be quickly determined based on the target altitude and the predetermined correspondence, and calibrating the analyte level based on the calibration coefficient can reduce the influence of the altitude on the measured analyte level. Thus, the measurement accuracy can be improved.

[0008] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, before the target object wears the analyte sensor, the corresponding relationship is programmed into the memory of the analyte monitoring system corresponding to the analyte sensor. In this case, by predetermining the corresponding relationship and storing it in the memory, it is convenient for the processing device to obtain the calibration coefficient based on the corresponding relationship between the target altitude and the calibration coefficient.

[0009] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, the corresponding relationship is a lookup table, and the calibration coefficient is obtained based on the target altitude and the lookup table, and the lookup table stores a mapping relationship between the altitude and the calibration coefficient established by statistics. In this case, when the target altitude is input to obtain the calibration coefficient, the calibration coefficient can be quickly obtained by traversing the lookup table.

[0010] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, the corresponding relationship is a calibration coefficient curve, the calibration coefficient is obtained based on the target altitude and the calibration coefficient curve, the calibration coefficient curve is determined by fitting multiple pairs of calibration data, each pair of calibration data includes an altitude and a calibration coefficient corresponding to the altitude, and the multiple pairs of calibration data are determined by a mapping relationship between the altitude and the calibration coefficient established by statistics. In this case, the calibration coefficient curve can often reflect a functional relationship, that is, when the calibration coefficient curve is determined by multiple known pairs of calibration data, even if the calibration coefficient corresponding to the altitude is not obtained in statistics, the calibration coefficient curve can be used to predict unknown calibration data, thereby improving the applicability of calibrating the analyte level at different target altitudes.

[0011] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, the calibration coefficient is a sensitivity coefficient, and the sensitivity coefficient is used to adjust the sensitivity of the analyte sensor; and / or the calibration coefficient is a signal correction coefficient, and the signal correction coefficient is used to adjust the target sensor signal. In this case, by calibrating the sensitivity through the sensitivity coefficient, the analyte level corresponding to the target sensor signal can be calibrated, thereby improving the measurement accuracy. In addition, by calibrating the target sensor signal through the signal correction coefficient, the analyte level corresponding to the target sensor signal can be calibrated, thereby improving the measurement accuracy. In addition, by calibrating the sensitivity of the analyte sensor based on the sensitivity coefficient and calibrating the target sensor signal based on the signal correction coefficient, for example, averaging the analyte levels calibrated by the two methods, it is possible to jointly calibrate to obtain the analyte level, thereby further improving the accuracy of obtaining the analyte level.

[0012] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, in the statistics, the uncalibrated analyte level of the sample solution, the reference analyte level corresponding to the uncalibrated analyte level, and the altitude corresponding to the uncalibrated analyte level are obtained to obtain the corresponding relationship. In this case, with the reference analyte level as the gold standard, the corresponding relationship obtained based on the reference analyte level can be used to calibrate the analyte level corresponding to the target sensor signal so that the analyte level corresponding to the target sensor signal is close to the reference analyte level, thereby enabling the analyte level corresponding to the target sensor signal to be closer to the actual analyte level. Thus, the measurement accuracy can be improved.

[0013] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, the calibration coefficient in the corresponding relationship is obtained based on the reference analyte level and the uncalibrated analyte level. In this case, the reliability of the calibration coefficient can be improved by comparison with the reference analyte level.

[0014] In addition, in the analyte level acquisition method involved in the first aspect of the present disclosure, optionally, the target altitude is obtained by a barometric altitude sensor, a positioning system and / or manual input. In this case, when the barometric altitude sensor is arranged in the analyte monitoring system, it is conducive to obtaining the target altitude in an offline state (i.e., the state in which the analyte monitoring system does not communicate with the outside world), thereby improving the stability of obtaining the target altitude. In addition, obtaining the target altitude through the positioning system can be conducive to obtaining the target altitude in an online state (i.e., by communicating with the outside world). At the same time, the target altitude obtained by the positioning system is not affected by factors such as weather and air pressure changes, and has high precision, which can improve the accuracy of the target altitude obtained. At the same time, relative to setting the barometric altitude sensor, obtaining the target altitude through the positioning system can reduce the volume of the altitude acquisition device, making the analyte monitoring system more lightweight. In addition, obtaining the target altitude through manual input can freely and flexibly set the target altitude of the location of the target object, and can obtain the target altitude in special circumstances (for example, the target altitude cannot be obtained through the barometric altitude sensor or the positioning system, or the error of the obtained target altitude is large). In addition, the at least two target altitudes obtained by the combination of at least two methods are averaged, in which case the accuracy and reliability of obtaining the target altitude can be improved. In addition, by obtaining the target altitude through the barometric altitude sensor and the positioning system, the analyte monitoring system can obtain the target altitude both offline and online, thereby improving the reliability of obtaining the target altitude.

[0015] The second aspect of the present disclosure provides an analyte monitoring system, comprising: an analyte sensor and a processing device, wherein the analyte sensor is configured to generate a target sensor signal, and the processing device is configured to receive the target sensor signal and a target altitude and determine the analyte level corresponding to the target sensor signal using the analyte level acquisition method described in the first aspect of the present disclosure. Thus, the analyte level acquisition method involved in the first aspect of the present disclosure can be implemented.

[0016] In addition, in the analyte monitoring system involved in the second aspect of the present disclosure, optionally, it also includes an on-body device, which is mounted on the skin surface, the analyte sensor is mounted on the on-body device, and the on-body device includes an electronic unit, which is used to store the target sensor signal.

[0017] In addition, in the analyte monitoring system involved in the second aspect of the present disclosure, optionally, a receiving device is also included, and the receiving device receives the target sensor signal through a wireless communication protocol and determines the analyte level corresponding to the target sensor signal through the processing device. In this case, the receiving device can remotely obtain the target sensor signal generated by the analyte sensor, thereby improving the flexibility and portability of the receiving device. In addition, when the processing device is arranged on the receiving device, the volume of the on-body device installed on the skin of the target object can be reduced, thereby improving the comfort of the target object wearing the analyte sensor and improving the portability of the analyte monitoring system. In addition, the signal transmitted through the wireless communication protocol is the target sensor signal, that is, the analyte level is determined by the processing device after the receiving device obtains the target sensor signal, thereby improving the confidentiality of data transmission.

[0018] In addition, in the analyte monitoring system involved in the second aspect of the present disclosure, optionally, a receiving device is also included, and the receiving device receives the analyte level corresponding to the target sensor signal determined by the processing device through a wireless communication protocol. In this case, the processing device receives the target sensor signal of the analyte sensor and determines the analyte level, the receiving device can remotely obtain the analyte level determined by the processing device, and the analyte level determined by the processing device can be sent to more receiving devices. At the same time, the processing device independent of the receiving device directly sends the analyte level, which can enable a receiving device without a processing device (such as a third-party receiving device) to obtain the calibrated analyte level, and then enable the analyte level transmitted by the wireless communication protocol to be received by more receiving devices, thereby improving the adaptability of the on-body device, thereby enabling the on-body device to be compatible with more receiving devices. In addition, the target sensor signal does not need to be sent to the receiving device for processing, which can help reduce delay and reflect the analyte level in real time. As a result, the matching of the processing device and the receiving device can be made more flexible and the applicability of the processing device can be improved. In addition, when the processing device is set in the on-body device, the analyte level can be directly determined based on the target sensor signal obtained by the analyte sensor in the on-body device without sending it to the receiving device for processing, which can help reduce delays and reflect the analyte level in real time.

[0019] In addition, in the analyte monitoring system involved in the second aspect of the present disclosure, optionally, the receiving device includes a positioning system for obtaining the target altitude; or the on-body device includes a barometric altitude sensor for obtaining the target altitude, and the receiving device also receives the target altitude through the wireless communication protocol. In this case, obtaining the target altitude through the positioning system can be beneficial to obtaining the target altitude in an online state (that is, by communicating with the outside world). At the same time, the target altitude obtained by the positioning system is not affected by factors such as weather and air pressure changes, and has high accuracy, which can improve the accuracy of the obtained target altitude. At the same time, compared with setting a barometric altitude sensor, obtaining the target altitude through the positioning system can reduce the volume of the altitude acquisition device, making the analyte monitoring system more lightweight. In addition, the target altitude is obtained through the barometric altitude sensor of the on-body device, and the target altitude can be stored in the electronic unit together with the corresponding target sensor signal, which is beneficial to the synchronization of the target altitude and the target sensor signal in time, so as to facilitate the acquisition of the target altitude corresponding to the target sensor signal. In addition, when the target altitude is obtained by manual input, the receiving device includes an interface for manually inputting the target altitude, and the receiving device obtains the manually input target altitude through the interface and inputs the target altitude into the processing device.

[0020] The third aspect of the present disclosure provides a computer-readable storage medium, which stores at least one instruction. When the at least one instruction is executed by a processor, it implements the analyte level acquisition method involved in the first aspect of the present disclosure, or implements the analyte monitoring system involved in the second aspect of the present disclosure.

[0021] The fourth aspect of the present disclosure provides an electronic device, which includes a processor and a memory, and the processor executes a program stored in the memory to implement the analyte level acquisition method involved in the first aspect of the present disclosure, or to implement the analyte monitoring system involved in the second aspect of the present disclosure.

[0022] According to the present disclosure, a method, system, medium and device for obtaining analyte levels taking altitude into consideration to improve measurement accuracy can be provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present disclosure will now be explained in further detail, by way of example only, with reference to the accompanying drawings.

[0024] Figure 1 is a diagram showing an application scenario of the analyte monitoring system involved in the example of the present disclosure.

[0025] Figure 2Ais a system block diagram showing a first embodiment of an analyte monitoring system according to an example of the present disclosure.

[0026] Figure 2B is a system block diagram showing a second embodiment of the analyte monitoring system involved in the examples of the present disclosure.

[0027] Figure 2C is a system block diagram showing a third embodiment of the analyte monitoring system involved in the examples of the present disclosure.

[0028] Figure 3A 1 is a system block diagram showing a first embodiment of a method for acquiring a target altitude involved in the example of the present disclosure.

[0029] Figure 3B 1 is a system block diagram showing a second embodiment of the target altitude acquisition method involved in the example of the present disclosure.

[0030] Figure 3C 2 is a system block diagram showing a third embodiment of the target altitude acquisition method involved in the example of the present disclosure.

[0031] Figure 4 is a flow chart showing a method of acquiring analyte levels taking altitude into consideration according to an example of the present disclosure.

[0032] Figure 5 is a flowchart showing a method for acquiring a correspondence relationship involved in an example of the present disclosure.

[0033] Figure 6 FIG. 1 is a diagram showing a method of obtaining a calibration coefficient according to an example of the present disclosure.

[0034] Figure 7 is a schematic diagram showing the comparison of glucose concentration before and after calibration under the influence of altitude involved in the examples of the present disclosure. DETAILED DESCRIPTION

[0035] Hereinafter, the preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the following description, the same symbols are assigned to the same components, and repeated descriptions are omitted. In addition, the accompanying drawings are only schematic diagrams, and the ratio of the dimensions of the components or the shapes of the components may be different from the actual ones.

[0036] It should be noted that the terms "including" and "having" and any variations thereof in the present disclosure, such as a process, method, system, product or device that includes or has a series of steps or units, are not necessarily limited to those steps or units clearly listed, but may include or have other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0037] The inventors found in practice that there is a deviation between the measured analyte level and the actual analyte level. After research, it was found that when the analyte level is obtained using an analyte sensor, the altitude is correlated with the obtained analyte level. To this end, the present disclosure provides an analyte level acquisition method considering the altitude (hereinafter referred to as an analyte level acquisition method, acquisition method or method, and can also be referred to as a method for acquiring analyte levels based on altitude, a calibration method, a compensation method, a monitoring method or a detection method, etc.), which is a method for an analyte monitoring system. The method provided by the present disclosure can improve the measurement accuracy of the analyte level.

[0038] It should be noted that the improved measurement accuracy of the present disclosure may be that the obtained analyte level is close to or equal to the gold standard. The gold standard is a reliable method recognized in the prior art. The gold standard may be a reference analyte level. For example, in the case where the analyte is glucose in tissue fluid, the analyte level is the glucose concentration in the tissue fluid, and the gold standard is the glucose concentration in the blood, the improved measurement accuracy of the present disclosure may be that the obtained glucose concentration is close to or equal to the glucose concentration measured by finger blood.

[0039] In some examples, the target altitude involved in the present disclosure is the altitude of the location of the target object. In this case, the effect of the altitude on the measurement accuracy can be considered, thereby improving the accuracy of measuring the analyte of the target object. In some examples, the target sensor signal is a signal generated by the analyte sensor related to the analyte level of the target object. The altitude in the corresponding relationship is the altitude obtained by statistics.

[0040] In some examples, the analyte level acquisition method considering altitude involved in the present disclosure can calibrate the analyte level based on the analyte sensor based on the target altitude of the target object location. Specifically, the sensitivity of the analyte sensor or the target sensor signal can be calibrated based on the target altitude, and the analyte level can be determined based on the calibrated sensitivity or target sensor signal. In this case, the altitude may affect the target sensor signal generated by the analyte sensor. By calibrating the analyte level with the target altitude when acquiring the analyte level based on the target sensor signal, the effect of the target altitude on the deviation can be reduced. As a result, the accuracy of the measurement can be improved.

[0041] In addition, in cases involving multiple or continuous monitoring of analyte levels, different measurement geographic locations may correspond to different target altitudes. By calibrating the analyte levels using the corresponding target altitudes at different geographic locations, it can be helpful to reduce the impact of the target altitude when analyzing and comparing multiple or continuous monitored analyte levels.

[0042] The method disclosed herein can be applied to application scenarios where the analyte level (also referred to as analyte concentration) of the target object is affected by the target altitude of the location of the target object. In particular, it can be applied to scenarios where the target altitude of the location of the target object is correlated with the analyte level of the target object. For example, due to the influence of altitude, the target sensor signal or analyte level is offset as a whole relative to the gold standard. Through the method disclosed herein, the offset of the target sensor signal can be calibrated. Thus, it can be helpful to improve the accuracy of the analyte level obtained when monitoring the analyte level.

[0043] The method disclosed herein can also be applied to application scenarios where the analyte sensor has an enzyme. In particular, it can be applied to scenarios where the analyte is glucose and the analyte sensor has glucose oxidase. For example, the reaction between glucose oxidase and glucose is affected by the altitude, which in turn affects the accuracy of monitoring glucose concentration. The method disclosed herein is conducive to improving the accuracy of the glucose concentration obtained when monitoring glucose concentration.

[0044] The method disclosed herein can also be applied to the application scenario of measuring analyte levels by non-implantable analyte sensors. For example, an analyte sensor using optical technology obtains analyte levels through light signals. The altitude affects the light reflected by the target object received by the analyte sensor, thereby affecting the obtained analyte level. The method disclosed herein is conducive to improving the accuracy of the obtained glucose concentration when monitoring the glucose concentration.

[0045] The present disclosure also provides an analyte monitoring system, which may include an analyte sensor and a processing device. The analyte sensor may be configured to generate a target sensor signal. The processing device may be configured to receive the target sensor signal and the target altitude and determine the analyte level using the above method. Thus, the analyte level acquisition method involved in the present disclosure can be implemented.

[0046] In addition, the signal monitored by the analyte monitoring system (hereinafter referred to as the monitoring system or system) in the monitored environment can be a monitoring signal. The monitoring signal can include a target sensor signal. The monitoring signal can also include a target altitude.

[0047] In some examples, the target sensor signal may be a signal related to the analyte level. In this case, by generating the target sensor signal through the analyte sensor, information related to the analyte level can be obtained.

[0048] In some examples, the target sensor signal may be an electrical signal. For example, the target sensor signal may be a current signal or a voltage signal. Specifically, the reactant of the analyte sensor (in the case where the analyte is glucose, the reactant may be glucose oxidase or glucose dehydrogenase) may react with the analyte, and the electron exchange generated by the reaction may form a current signal or a voltage signal.

[0049] In other examples, the target sensor signal may also be an optical signal. In this case, by irradiating light to the target object and utilizing the absorption characteristics of the analyte to light in a predetermined wavelength range, the analyte level is obtained based on the optical signal reflected by the target object, thereby reducing damage to the target object, that is, enabling non-invasive monitoring of the analyte.

[0050] In some examples, the analyte can be one or more of glucose, acetylcholine, amylase, bilirubin, cholesterol, chorionic gonadotropin, creatine kinase, creatine, creatinine, DNA, fructosamine, glutamine, growth hormone, hormone, ketone body, lactate, oxygen, peroxide, prostate specific antigen, prothrombin, RNA, thyroid stimulating hormone or troponin. In some examples, when the analyte is glucose, the analyte level can be glucose concentration.

[0051] The following describes an example of the present disclosure by taking glucose in interstitial fluid as an example, and combining with the accompanying drawings. Such description does not limit the scope of the present disclosure.

[0052] Figure 1 is a diagram showing an application scenario of the analyte monitoring system 10 involved in the example of the present disclosure.

[0053] In some examples, the analyte monitoring system 10 may include an analyte sensor 100 and a processing device 200. The analyte sensor 100 may be worn by a target subject. The analyte sensor 100 may generate a target sensor signal. The processing device 200 may receive the signal generated by the analyte sensor 100 and determine the analyte level.

[0054] like Figure 1 As shown, the analyte sensor 100 can be implanted subcutaneously or installed on the skin surface of the target object. The analyte sensor 100 can monitor the analyte level and send the target sensor signal to the processing device 200. The processing device 200 can receive the target sensor signal and determine the analyte level, thereby obtaining the analyte level of the target object.

[0055] In some examples, the analyte sensor 100 can be configured to generate a target sensor signal. Specifically, the analyte sensor 100 can react with the analyte. The analyte sensor 100 can obtain a target sensor signal related to the analyte level. Thus, information related to the analyte level can be obtained based on the target sensor signal.

[0056] In some examples, the processing device 200 can be configured to receive a target sensor signal and determine an analyte level. Specifically, the processing device 200 can amplify, filter, and convert the target sensor signal to an analog-to-digital converter, and calculate the analyte level corresponding to the target sensor signal based on sensitivity. In this case, the noise of the target sensor signal can be filtered out, the sensitivity coefficient can be used for calibration and optimization, and the target sensor signal can be converted into a specific analyte level. Thus, the measurement accuracy of the analyte level can be improved.

[0057] Figure 2A 1 is a system block diagram showing a first embodiment of the analyte monitoring system 10 according to the present disclosure.

[0058] refer to Figure 2A , the analyte monitoring system 10 may include an on-body device 400. The on-body device 400 may be mounted on the surface of the skin. The analyte sensor 100 may be mounted on the on-body device 400. In this case, the analyte sensor 100 can be fixed to the on-body device 400 mounted on the surface of the skin, so that the analyte sensor 100 can stably measure the analyte and reduce the situation where the analyte sensor 100 causes measurement errors due to displacement. Thus, the measurement accuracy can be improved.

[0059] In some examples, on-body device 400 may include an electronics unit 410. Electronics unit 410 may be used to store target sensor signals.

[0060] In some examples, the analyte monitoring system 10 may include a receiving device 500. The receiving device 500 may receive the target sensor signal via a wireless communication protocol. In this case, the receiving device 500 may remotely acquire the target sensor signal generated by the analyte sensor 100, thereby improving the flexibility and portability of the receiving device 500.

[0061] In some examples, the receiving device 500 can determine the analyte level corresponding to the target sensor signal through the processing device 200. In other words, the processing device 200 can be set in the receiving device 500. In this case, the analyte sensor 100 sends the generated target sensor signal and the target altitude to the receiving device 500, and the receiving device 500 sends the received target sensor signal and the target altitude to the processing device 200, and the processing device 200 determines the analyte level based on the target sensor signal and the target altitude. In addition, the processing device 200 is set in the receiving device 500, which can reduce the volume of the on-body device 400 installed on the skin of the target object, thereby improving the comfort of the target object wearing the analyte sensor 100 and improving the portability of the analyte monitoring system 10. In addition, the signal transmitted through the wireless communication protocol is the target sensor signal, that is, the analyte level is determined by the processing device 200 after the receiving device 500 obtains the target sensor signal, that is, the wirelessly transmitted signal is the target sensor signal, thereby improving the confidentiality of data transmission.

[0062] In some examples, the analyte monitoring system 10 may further include a display device 210. The display device 210 may be disposed on the receiving device 500. The display device 210 may be configured to receive and display the analyte level determined by the processing device 200. The display device 210 may also display the analyte level in a time sequence as a curve graph. In this case, the analyte level can be obtained by the display device 210. Thus, the analyte level can be visualized for easy viewing.

[0063] Figure 2B is a system block diagram showing a second embodiment of the analyte monitoring system 10 according to the example of the present disclosure.

[0064] refer to Figure 2B, the receiving device 500 may receive the analyte level corresponding to the target sensor signal determined by the processing device 200 through the wireless communication protocol. In other words, the processing device 200 may not be set in the receiving device 500, and the processing device 200 may be set in the on-body device 400 or independently set as a device. In this case, the processing device 200 receives the target sensor signal of the analyte sensor 100 and determines the analyte level, and the receiving device 500 remotely obtains the analyte level determined by the processing device 200, and the analyte level determined by the processing device 200 can be sent to more receiving devices 500. At the same time, the processing device 200 independent of the receiving device 500 directly sends the analyte level, which enables the receiving device 500 (such as a third-party receiving device) without the processing device 200 to also obtain the calibrated analyte level, and then enables the analyte level transmitted through the wireless communication protocol to be received by more receiving devices 500, thereby improving the adaptability of the on-body device 400, so that the on-body device 400 can be compatible with more receiving devices 500. In addition, the target sensor signal does not need to be sent to the receiving device 500 for processing, which can help reduce latency and reflect the analyte level in real time.

[0065] Figure 2C is a system block diagram showing a third embodiment of the analyte monitoring system 10 according to the disclosed example.

[0066] refer to Figure 2C , the analyte monitoring system 10 may further include a server 600. The processing device 200 may be disposed on the server 600. Specifically, the analyte sensor 100 may generate a target sensor signal and send it to the receiving device 500, the receiving device 500 may receive the target sensor signal through a wireless communication protocol and send it to the server 600, the processing device 200 disposed on the server 600 may receive the target sensor signal and determine the analyte level, and the receiving device 500 receives the analyte level determined by the processing device 200. In this case, the structural complexity of the on-body device 400 and the receiving device 500 can be reduced, and at the same time, the server 600 can provide more efficient data processing and analysis capabilities, so that the analyte level can be determined more quickly and efficiently.

[0067] In some examples, the analyte monitoring system 10 may further include an altitude acquisition device. The altitude acquisition device may be configured to acquire a target altitude. The processing device 200 may be configured to receive a target sensor signal and a target altitude and determine an analyte level corresponding to the target sensor signal using an analyte level acquisition method.

[0068] Figure 3A 1 is a system block diagram showing a first embodiment of a method for acquiring a target altitude involved in the example of the present disclosure.

[0069] refer to Figure 3A , the first embodiment of the target altitude acquisition method can be acquired through the barometric altitude sensor 310. In some examples, the altitude acquisition device can include the barometric altitude sensor 310. The barometric altitude sensor 310 can acquire the target altitude. In this case, the digital signal output by the barometric altitude sensor 310 can be directly sent to the processing device 200, so that the processing device 200 can determine the analyte level based on the target altitude and the target sensor signal.

[0070] In some examples, the on-body device 400 may include a barometric altitude sensor 310 for acquiring a target altitude. In this case, the target altitude is acquired through the barometric altitude sensor 310 of the on-body device 400, and the target altitude can be stored in the electronic unit 410 together with the corresponding target sensor signal, which is conducive to synchronizing the target altitude with the target sensor signal in time, thereby facilitating acquisition of the target altitude corresponding to the target sensor signal, and further facilitating determination of the analyte level based on the target sensor signal and the target altitude.

[0071] In some examples, the receiving device 500 can receive the target altitude via a wireless communication protocol. In this case, the receiving device 500 can remotely obtain the target altitude, thereby improving the flexibility and portability of the receiving device 500. In addition, the receiving device 500 can simultaneously receive the target sensor signal and the corresponding target altitude sent by the on-body device 400 and determine the analyte level by the processing device 200, thereby improving the efficiency of data transmission and processing.

[0072] Figure 3B 1 is a system block diagram showing a second embodiment of the target altitude acquisition method involved in the example of the present disclosure.

[0073] refer to Figure 3B The second embodiment of the target altitude acquisition method may be to acquire the target altitude through the positioning system 320. In some examples, the altitude acquisition device may include the positioning system 320. The positioning system 320 may acquire the target altitude. Specifically, the positioning system 320 may acquire the location of the target object and send it to the server, and the server returns the target altitude of the location of the target object.

[0074] In some examples, the receiving device 500 may include a positioning system 320 for obtaining the target altitude. In other words, the positioning system 320 may be provided in the receiving device 500. Specifically, the receiving device 500 may obtain the target altitude through the positioning system 320 and send the target altitude to the processing device 200, and the processing device 200 may determine the analyte level based on the target altitude and the target sensor signal. In this case, the receiving device 500 can obtain an accurate target altitude and can quickly obtain the target altitude.

[0075] In some examples, the positioning system 320 may be one or more of the Beidou satellite navigation system, the GPS global positioning system, and the Galileo satellite navigation system. When multiple positioning systems 320 are used, the accuracy and reliability of obtaining the target altitude can be improved.

[0076] Figure 3C 2 is a system block diagram showing a third embodiment of the target altitude acquisition method involved in the example of the present disclosure.

[0077] refer to Figure 3C , the third embodiment of the target altitude acquisition method can be acquired through the interface 330. In some examples, the analyte monitoring system 10 may not include an altitude acquisition device. In some examples, the analyte monitoring system 10 can obtain the target altitude by manual input. In some examples, the receiving device 500 may include an interface 330 for manually inputting the target altitude. The receiving device 500 can obtain the manually input target altitude through the interface 330 and input the target altitude into the processing device 200.

[0078] In some examples, analyte monitoring system 10 may include one or more of a barometric altitude sensor 310 , a positioning system 320 , and manual input to obtain a target altitude.

[0079] In some examples, the analyte monitoring system 10 can obtain the target altitude by a combination of at least two of the barometric altitude sensor 310, the positioning system 320, and manual input. For example, at least two target altitudes obtained by the combination of at least two methods can be averaged. In this case, the accuracy and reliability of obtaining the target altitude can be improved. In addition, by obtaining the target altitude through the barometric altitude sensor 310 and the positioning system 320, the analyte monitoring system 10 can obtain the target altitude both offline and online, thereby improving the reliability of obtaining the target altitude.

[0080] It should be noted that Figure 3A , Figure 3B and Figure 3CThe example of the processing device 200 being arranged in the receiving device 500 is an illustrative example, and the method of obtaining the target altitude involved in the present disclosure is not limited thereto. For example, when the processing device 200 is arranged in the on-body device 400 or the server 600, the target altitude can also be obtained in the above manner.

[0081] The present disclosure also relates to an analyte level acquisition method considering altitude. The method involved in the present disclosure can be applied to the above-mentioned analyte monitoring system 10. Further, the method involved in the present disclosure can be applied to the above-mentioned processing device 200, that is, the processing device 200 can determine the analyte level using the analyte level acquisition method considering altitude involved in the present disclosure.

[0082] In some examples, the altitude may have an allowable error range. When the target altitude at the location of the target object is within the allowable error range of a certain altitude, the altitude may be used as the target altitude at the location of the target object. In other words, the target altitude at the location of the target object may have a certain error when measured or calculated. In addition, since the different altitudes within the allowable error range have little effect on the measurement of the analyte level, it can be ignored. When determining the analyte level based on the target altitude, all target altitudes that fall within the allowable error range of a predetermined altitude can be converted to the predetermined altitude. In this case, by converting the target altitude to the corresponding altitude based on the allowable error range, even if the target altitude does not have a corresponding predetermined altitude, the calibration coefficient corresponding to the unknown target altitude can be determined based on the allowable error range.

[0083] In some examples, the analyte level can be determined based on the correlation between the target altitude and the analyte level. Specifically, the analyte level can be calibrated based on the correlation. In this case, by considering the effect of the altitude on the acquired analyte level, the measurement error of the analyte level is reduced. Thus, the measurement accuracy can be improved.

[0084] In some examples, the analyte level can be determined based on the calibration coefficient. In some examples, the calibration coefficient can be a sensitivity coefficient. The sensitivity coefficient can calibrate the sensitivity of the analyte sensor 100. In this case, by calibrating the sensitivity through the sensitivity coefficient, the analyte level corresponding to the target sensor signal can be calibrated, thereby improving the measurement accuracy. In addition, the sensitivity is a parameter of the analyte sensor 100 itself. By calibrating the sensitivity through the sensitivity coefficient, the repeatability of the measurement can be improved, that is, after calibration, when the external environment (such as altitude, temperature or humidity, etc.) does not change within a certain range, multiple measurements can be performed based on the sensitivity calibrated by the sensitivity coefficient.

[0085] In some examples, the calibration coefficient may be a signal correction coefficient. The signal correction coefficient may adjust the target sensor signal. In this case, by calibrating the target sensor signal through the signal correction coefficient, the analyte level corresponding to the target sensor signal can be calibrated, thereby improving the measurement accuracy. In addition, the deviation caused by individual differences of the analyte sensor 100 can be reduced, thereby improving the applicability of the analyte level acquisition method.

[0086] In some examples, the calibration coefficient may be a sensitivity coefficient and a signal correction coefficient. In this case, by calibrating the sensitivity based on the sensitivity coefficient and calibrating the target sensor signal based on the signal correction coefficient, for example, the analyte levels obtained by calibration in the two ways can be averaged, and the analyte levels can be obtained by joint calibration, thereby further improving the accuracy of obtaining the analyte levels.

[0087] In some examples, the analyte level can be determined based on the target altitude, the target sensor signal, and the calibration coefficient. In this case, the calibration coefficient reflects the effect of the altitude on the measured analyte level, that is, reflects the correlation between the target altitude and the obtained analyte level, which can facilitate the processing device 200 to calculate the analyte level based on the target altitude.

[0088] In some examples, the correlation between the target altitude and the analyte level may be a relationship between the altitude and a calibration factor. The relationship between the altitude and the calibration factor may be a predetermined corresponding relationship.

[0089] In some examples, the calibration coefficient may be determined based on the target altitude and a predetermined correspondence relationship. In some examples, the altitude corresponding to the target altitude may be identified from the correspondence relationship, and the corresponding calibration coefficient may be determined.

[0090] In some examples, the analyte level can be determined based on the target altitude, the target sensor signal, and the corresponding relationship. In this case, a calibration coefficient can be determined based on the target altitude and the corresponding relationship, and the calibration coefficient reflects the effect of the altitude on the measured analyte level, that is, reflects the correlation between the altitude and the obtained analyte level, which can facilitate the calculation of the analyte level based on the target altitude.

[0091] In some examples, the correspondence may be programmed into the memory of the analyte monitoring system 10 corresponding to the analyte sensor 100. In this case, by predetermining the correspondence and storing it in the memory, it is possible to facilitate the processing device 200 to obtain the calibration coefficient based on the correspondence between the target altitude and the calibration coefficient.

[0092] In some examples, the correspondence may be stored in a memory of the receiving device 500. In some examples, the correspondence may be stored in a memory of the on-body device 400. Specifically, the correspondence may be stored in the electronic unit 410. In some examples, the correspondence may also be set in a memory of a server.

[0093] In some examples, the corresponding relationship may be a predetermined relationship between the altitude and the calibration coefficient, thereby facilitating rapid acquisition of the calibration coefficient based on the target altitude.

[0094] In some examples, the corresponding relationship may be a lookup table. The calibration coefficient may be obtained based on the target altitude and the lookup table. In some examples, the lookup table may store a mapping relationship between the altitude and the calibration coefficient. In some examples, when the input target altitude is equal to the altitude in the lookup table, the calibration coefficient corresponding to the altitude is output. In other examples, when the input target altitude is within the allowable error range of the altitude in the lookup table, the calibration coefficient corresponding to the altitude is output. The lookup table may be a hash table. The index of the hash table may be determined based on the allowable error range of the altitude, and the corresponding calibration coefficient may be determined based on the index of the hash table. Specifically, address access may be performed based on the altitude to obtain the calibration coefficient stored at the address. In this case, when the target altitude is input to obtain the calibration coefficient, the calibration coefficient can be quickly obtained by traversing the lookup table.

[0095] In other examples, the corresponding relationship may be a calibration coefficient curve. That is, the calibration coefficient may be obtained based on the target altitude and the calibration coefficient curve. The calibration coefficient curve may include a first variable and a second variable. The first variable may be the altitude. The second variable may be the calibration coefficient. The second variable may be determined by determining the first variable and the calibration coefficient curve. The first variable and the second variable may be continuously changing values. In this case, the calibration coefficient curve can often reflect a functional relationship, that is, when the calibration coefficient curve is determined by a plurality of known pairs of calibration data, even if the calibration coefficient corresponding to the altitude is not obtained in statistics, the unknown calibration data can be predicted by the calibration coefficient curve, thereby improving the applicability of calibrating the analyte level at different target altitudes.

[0096] In some examples, the calibration coefficient curve may be a function of the calibration coefficient and the altitude. The calibration coefficient may be obtained by calculation based on the target altitude and the function.

[0097] In some examples, a mapping relationship between the altitude and the calibration coefficient can be established by statistics. In this case, the correlation between the altitude and the acquired analyte level can be obtained more accurately.

[0098] In some examples, multiple pairs of calibration data may be determined by a mapping relationship between altitude and calibration coefficient established by statistics, wherein each pair of calibration data includes an altitude and a calibration coefficient corresponding to the altitude.

[0099] In some examples, the calibration coefficient curve can be determined by fitting multiple pairs of calibration data. In other words, the multiple pairs of calibration data are discrete, and a continuous calibration coefficient curve can be obtained by fitting. In this case, by fitting multiple pairs of calibration data to obtain the calibration coefficient curve, a calibration coefficient curve with greater accuracy than the multiple pairs of calibration data can be obtained, the calibration coefficient curve includes more altitudes and calibration coefficients corresponding to the altitudes, and the calibration coefficient corresponding to any altitude within the altitude range of the calibration coefficient curve can be obtained based on the calibration coefficient curve, thereby meeting the need for more accurate measurement calibration.

[0100] Figure 4 is a flow chart showing a method of obtaining analyte levels taking altitude into consideration according to an example of the present disclosure.

[0101] In some examples, methods of acquiring analyte levels that take altitude into account may include:

[0102] Step S101: Obtain a target sensor signal. The target sensor signal may be generated by an analyte sensor 100. The analyte sensor 100 may be worn by a target subject. The target sensor signal may be related to an analyte level of the target subject. In this case, information related to the analyte level can be obtained through the analyte sensor 100.

[0103] In addition, before the target subject wears the analyte sensor 100, the correspondence relationship may be programmed into the memory of the analyte monitoring system 10 corresponding to the analyte sensor 100. In this case, by predetermining the correspondence relationship and storing it in the memory, it is possible to facilitate the processing device 200 to obtain the calibration coefficient based on the correspondence relationship between the target altitude and the calibration coefficient.

[0104] Step S102: Obtaining a target altitude. The target altitude may be a target altitude of a location where a target object is located. In this case, the effect of altitude on the measured analyte level can be considered.

[0105] It should be noted that the order of step S101 and step S102 is not limited. In some examples, the target altitude may be obtained first, and then the target sensor signal may be obtained.

[0106] In addition, the target altitude can be obtained by the barometric altitude sensor 310, the positioning system 320 or manual input. In this case, when the barometric altitude sensor 310 is disposed in the analyte monitoring system 10, it is advantageous to obtain the target altitude in an offline state (i.e., a state in which the analyte monitoring system 10 is not communicating with the outside world), thereby improving the stability of obtaining the target altitude. In addition, in areas where the positioning system 320 cannot cover the signal (e.g., underground), the barometric altitude sensor 310 can reliably obtain the target altitude.

[0107] In addition, obtaining the target altitude through the positioning system 320 is conducive to obtaining the target altitude in an online state (i.e., by communicating with the outside world). At the same time, the target altitude obtained by the positioning system 320 is not affected by factors such as weather and air pressure changes, and has high accuracy, which can improve the accuracy of the obtained target altitude. At the same time, compared with setting the air pressure altitude sensor 310, obtaining the target altitude through the positioning system 320 can reduce the volume of the altitude acquisition device 300, making the analyte monitoring system 10 more lightweight.

[0108] In addition, by obtaining the target altitude through manual input, the target altitude of the target object's location can be set freely and flexibly, and the target altitude can be obtained in special circumstances (for example, the target altitude cannot be obtained through the barometric altitude sensor 310 or the positioning system 320, or the error of the obtained target altitude is large).

[0109] In some examples, after obtaining the target altitude, it can be determined whether the target altitude is correct. If it is not correct, the target altitude can be corrected. In some examples, the target altitude can be obtained by two or more methods including the barometric altitude sensor 310, the positioning system 320, or manual input. The target altitude obtained by the positioning system 320 can be used to calibrate the target altitude obtained by the barometric altitude sensor 310. The target altitude obtained by the barometric altitude sensor 310 can also be used to calibrate the target altitude obtained by the positioning system 320.

[0110] In some examples, after obtaining the target altitude, the target altitude can be matched with the target sensor signal. For example, the corresponding target altitude and the target sensor signal can be matched by a timestamp. The location of the target object can be collected by the positioning system 320 to match the corresponding target altitude and the target sensor signal. The acquired target altitude can be manually recorded and matched with the target sensor signal. The target altitude and the target sensor signal can be synchronously collected and stored accordingly. The target sensor signal corresponding to the target altitude can be identified based on an artificial intelligence model. Thus, it can be helpful to determine the target altitude corresponding to the target sensor signal.

[0111] Step S103: Determine the analyte level based on the target altitude, the target sensor signal and the calibration coefficient. Specifically, the calibration coefficient can be determined based on the target altitude, and the analyte level can be determined based on the calibration coefficient and the target sensor signal. In this case, the influence of the altitude on the measured analyte level can be reflected by the calibration coefficient, that is, the correlation between the altitude and the obtained analyte level can be reflected. After obtaining the target altitude, the calibration coefficient can be quickly determined based on the target altitude and the predetermined corresponding relationship, and the analyte level can be calibrated based on the calibration coefficient. It can reduce the influence of the altitude on the measured analyte level. Thus, the measurement accuracy can be improved.

[0112] In some examples, a frequency for determining the analyte level based on the calibration factor can be set. The frequency can be once a day, twice a day, once every two days, or once a week, etc. The frequency can be determined by an on-body device, a processing device, a receiving device, or manual input. The analyte level can be determined based on the calibration factor at a frequency.

[0113] In some examples, a calibration condition can be set to determine the analyte level based on the calibration coefficient. When the calibration condition is met, the calibration coefficient can be re-determined to determine the analyte level. When the calibration condition is not met, the analyte level can be determined based on the current calibration coefficient. In this case, the calibration is performed again when the calibration condition is met, which can reduce the power consumption of the analyte monitoring system 10.

[0114] In some examples, the calibration condition may be that the target altitude changes or changes by more than a first threshold. The first threshold may be 50 meters, 100 meters, 200 meters, 300 meters, 400 meters, or 500 meters, etc. For example, when the target altitude changes from 100 meters to 500 meters, the calibration coefficient may be re-determined based on the target altitude, and the analyte level may be determined based on the calibration coefficient and the target sensor signal.

[0115] In some examples, the calibration condition may be that the target subject manually inputs the target altitude. Specifically, when the target subject manually inputs the target altitude, the calibration coefficient may be re-determined based on the target altitude, and the analyte level may be determined based on the calibration coefficient and the target sensor signal.

[0116] In some examples, the calibration factor may be a sensitivity factor. The sensitivity factor may calibrate the sensitivity of the analyte sensor 100. In other examples, the calibration factor may be a signal correction factor. The signal correction factor may adjust the target sensor signal.

[0117] In some examples, the analyte level may be determined based on the target sensor signal, the signal correction factor, and the sensitivity.

[0118] In some examples, the analyte level may be determined based on a conversion relationship including at least one calibration factor, which may be a formula:

[0119] AL=pI,

[0120] Where AL is the analyte level, I is the uncalibrated analyte level, and p is the calibration factor.

[0121] It should be noted that when the target sensor signal is other signals, the calibration coefficient is any other coefficient that can affect the relationship between the target sensor signal and the analyte level, and the above formula can be replaced by the formula for converting the corresponding target sensor signal to the analyte level.

[0122] In some examples, processing device 200 may be configured to receive a target sensor signal and a target altitude and determine an analyte level using the methods described above.

[0123] The examples of the present disclosure also provide a method for obtaining a corresponding relationship. The method for obtaining a corresponding relationship involved in the present disclosure can be used in the above-mentioned method for obtaining an analyte level taking into account the altitude. Furthermore, the corresponding relationship obtained by the method for obtaining a corresponding relationship involved in the present disclosure can be stored in the memory of the analyte monitoring system 10 involved in the present disclosure.

[0124] In some examples, the correspondence may be established by statistics. In this case, by establishing the correspondence between the altitude and the calibration coefficient by statistics, the correlation between the altitude and the acquired analyte level can be obtained more accurately.

[0125] In some examples, in statistics, the uncalibrated analyte level of the sample solution, the reference analyte level corresponding to the uncalibrated analyte level, and the altitude corresponding to the uncalibrated analyte level can be obtained to obtain a corresponding relationship. Among them, the altitude can be the altitude of the location where the uncalibrated analyte level is obtained when the analyte sensor 100 is worn. Specifically, the measurement accuracy can be improved by making the acquired analyte level close to or equal to the reference analyte level. In this case, with the reference analyte level as the gold standard, the corresponding relationship obtained based on the reference analyte level can be used to calibrate the analyte level corresponding to the target sensor signal so that the analyte level corresponding to the target sensor signal is close to the reference analyte level, thereby enabling the analyte level corresponding to the target sensor signal to be closer to the true analyte level. Thus, the measurement accuracy can be improved.

[0126] In some examples, the calibration coefficient can be obtained based on a reference analyte level and an uncalibrated analyte level. Specifically, the calibration coefficient can be obtained based on a functional relationship between the reference analyte level and the uncalibrated analyte level. In this case, the reliability of the calibration coefficient can be improved by comparison with the reference analyte level.

[0127] In some examples, the optimal coefficient can be set as a calibration coefficient. The optimal coefficient can be an optimal sensitivity coefficient or an optimal signal correction coefficient. In this case, the calibration coefficient reflects the difference between the reference analyte level and the uncalibrated analyte level, so that the analyte level corresponding to the target sensor signal can be calibrated according to the calibration coefficient.

[0128] In some examples, the calibration coefficients may be sensitivity coefficients or signal correction coefficients.

[0129] In some examples, the correspondence may be a lookup table or a calibration coefficient curve.

[0130] In some examples, the lookup table may be a mapping relationship between altitude and calibration coefficient. In this case, it is convenient for the analyte monitoring system 10 to obtain the calibration coefficient.

[0131] In some examples, the calibration coefficient curve can be determined by fitting multiple pairs of calibration data. Each pair of calibration data can include an altitude and a calibration coefficient corresponding to the altitude. Multiple pairs of calibration data can be determined by the mapping relationship between the altitude and the calibration coefficient. In this case, the correspondence between the altitude and the calibration coefficient can be made more accurate, and at the same time, the resolution of the altitude in the calibration coefficient curve is higher, thereby enabling the analyte monitoring system 10 to obtain the calibration coefficient based on the correspondence at more target altitudes. As a result, the adaptability of the analyte monitoring system 10 can be improved.

[0132] Figure 5 is a flowchart showing a method for acquiring a correspondence relationship involved in an example of the present disclosure.

[0133] Specifically, the method for obtaining the corresponding relationship may include:

[0134] Step S201: Obtain sample data. A set of sample data may include an uncalibrated analyte level, a reference analyte level corresponding to the uncalibrated analyte level, and an altitude corresponding to the uncalibrated analyte level. In some examples, multiple sets of sample data for multiple experimental subjects may be obtained. Multiple sets of sample data for one experimental subject may be obtained.

[0135] In some examples, the uncalibrated analyte level of the sample solution may be the analyte level of the interstitial fluid. The uncalibrated analyte level may be obtained by the uncalibrated analyte monitoring system 10 .

[0136] In some examples, the reference analyte level corresponding to the uncalibrated analyte level can be the analyte level of blood, such as the analyte level of finger blood or venous blood. The reference analyte level can be obtained by collecting finger blood or venous blood from the experimental subject.

[0137] In some examples, the altitude may also be obtained by the altitude acquisition device 300 of the analyte monitoring system 10 or by manual input.

[0138] Step S202: Perform data cleaning on the sample data. Specifically, the sample data that does not meet the preset conditions can be removed. In this case, inaccurate sample data caused by human error can be excluded, so that the sample data can more truly reflect the difference between the uncalibrated analyte level and the corresponding reference analyte level at different altitudes, thereby improving the accuracy of the corresponding relationship obtained based on the sample data after data cleaning. Thus, the measurement accuracy of the analyte level obtained based on the corresponding relationship can be improved.

[0139] In some examples, the preset condition can be that the reference analyte level has a preset number in a day. The preset number can be 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 or 20.

[0140] In some examples, the preset condition may be that the sample data is a non-outlier in the scatter plot. Specifically, the uncalibrated analyte level in the sample data and the corresponding reference analyte level may be processed to obtain a scatter plot, and points away from the 45° line may be regarded as outliers.

[0141] In some examples, the preset condition may be that the ARD (Absolute Relative Difference) obtained based on the uncalibrated analyte level in the sample data and the corresponding reference analyte level is within a preset range. The preset range may be 0% to 30%. In this case, sample data with an ARD greater than the preset range is removed, so that abnormal sample data can be excluded.

[0142] In some examples, ARD can satisfy the formula:

[0143]

[0144] Where ARD is the mean absolute relative deviation, abs() is the absolute value operation, PV is the uncalibrated analyte level, and BG is the reference analyte level.

[0145] In some examples, the preset condition may also be that the reference analyte level is within a preset range. The preset range may be a preset range of a device for obtaining the reference analyte level, such as 0 mmol / L to 33.3 mmol / L.

[0146] In some examples, the altitude may be discretized in different altitude ranges, which may include a low altitude range below 100 meters, a medium altitude range above 100 meters and below 1000 meters, and a high altitude range above 1000 meters.

[0147] Step S203: Obtaining a calibration coefficient corresponding to the altitude based on the sample data. The calibration coefficient may be obtained based on a reference analyte level and an uncalibrated analyte level in the sample data. In this case, the reliability of the calibration coefficient can be improved by comparison with the reference analyte level.

[0148] In some examples, the calibration coefficient can be obtained by an optimal coefficient. The optimal coefficient can be an optimal sensitivity coefficient or an optimal signal correction coefficient. In this case, the calibration coefficient obtained by the optimal sensitivity coefficient or the optimal signal correction coefficient can make the accuracy of the analyte level higher.

[0149] Figure 6 FIG. 1 is a diagram showing a method of obtaining a calibration coefficient according to an example of the present disclosure.

[0150] Specifically, the method of obtaining the calibration coefficient through the optimal coefficient may include:

[0151] Step S301: Acquire multiple sets of sample data from the same altitude. Specifically, multiple sets of sample data from multiple experimental subjects at the same altitude may be acquired. One experimental subject may have multiple sets of sample data, that is, one experimental subject may have multiple uncalibrated analyte levels.

[0152] Step S302: Calibrate the sample data of each experimental object based on multiple calibration coefficients to obtain multiple sets of calibrated data. A set of calibrated data may include multiple calibrated analyte levels calibrated with one calibration coefficient. Specifically, each sensitivity coefficient may be used to calibrate multiple uncalibrated analyte levels of each experimental object or each signal correction coefficient may be used to calibrate the target sensor signal corresponding to multiple uncalibrated analyte levels of each experimental object. For example, for one experimental object, a calibration coefficient of 0.7 may be used to calibrate multiple uncalibrated analyte levels of the experimental object to obtain multiple calibrated analyte levels, and a calibration coefficient of 0.8 may be used to calibrate multiple uncalibrated analyte levels of the experimental object to obtain multiple calibrated analyte levels.

[0153] In addition, multiple calibration coefficients can be determined based on the calibration coefficient interval. For example, in the case where the calibration coefficient is a sensitivity coefficient, the calibration coefficient interval can be a sensitivity coefficient interval, and the sensitivity coefficient interval can be 0.5 to 2.0. In some examples, multiple calibration coefficients can be selected within the calibration coefficient interval, such as 0.6, 0.8, 1, 1.2, and 1.6. The present disclosure does not limit the calibration coefficient interval and the calibration coefficient determined based on the calibration coefficient interval, but is only used as an illustrative example.

[0154] In addition, multiple calibration coefficients may be determined based on the calibration coefficient accuracy. The calibration coefficient accuracy may be 0.2, 0.1, 0.05, or 0.01, etc. For example, when the calibration coefficient accuracy is 0.1, the multiple calibration coefficients may be 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, and 1.3.

[0155] In addition, in the case where the calibration coefficient is a signal correction coefficient, the calibration coefficient interval may be the signal correction coefficient, and the calibration coefficient accuracy may be the signal correction coefficient accuracy.

[0156] Step S303: obtaining multiple MARDs (Mean Absolute Relative Difference) based on multiple sets of calibrated data of each experimental object. Among them, the sample data of one experimental object is calibrated with one calibration coefficient to obtain a set of calibrated data, and an ARD can be calculated based on a calibrated analyte level and a corresponding reference analyte level in a set of calibrated data to obtain an ARD, and a MARD can be obtained by averaging multiple ARDs of a set of calibrated data. Accordingly, the sample data of one experimental object can be calibrated with multiple sensitivity coefficients to obtain multiple sets of calibrated data, and multiple sets of calibrated data can be calculated to obtain multiple MARDs. Specifically, a set of calibrated data includes multiple calibrated analyte levels and multiple corresponding reference analyte levels. The calibrated analyte level can be used as PV, and the reference analyte level can be used as BG. The MARD is calculated and averaged according to the above ARD formula.

[0157] Step S304: The sensitivity coefficient corresponding to the minimum MARD of each experimental object is used as the optimal sensitivity coefficient corresponding to the experimental object. Specifically, the smaller the MARD, the closer the analyte level is to the reference analyte level, and the sensitivity coefficient corresponding to the minimum MARD is the optimal sensitivity coefficient.

[0158] Step S305: averaging multiple optimal sensitivity coefficients corresponding to the same altitude to obtain a calibration coefficient corresponding to the altitude. Specifically, the average of the optimal sensitivity coefficients of multiple experimental objects at the same altitude can be used as the calibration coefficient corresponding to the altitude.

[0159] Step S204: Determine the corresponding relationship between the altitude and the calibration coefficient.

[0160] In addition, the corresponding relationship may be a lookup table or a calibration coefficient curve.

[0161] Figure 7 is a schematic diagram showing the comparison of glucose concentration before and after calibration under the influence of altitude involved in the examples of the present disclosure.

[0162] like Figure 7 As shown, taking glucose as the analyte, the analyte level as the glucose concentration, and the reference analyte level as the finger blood value as an example, the blood glucose value-before-calibration curve corresponds to the uncalibrated analyte level, the blood glucose value-after-calibration curve corresponds to the analyte level corresponding to the target sensor signal, and the data points of the finger blood value correspond to the reference analyte level. Figure 7 It can be seen that due to the influence of altitude, there is a large deviation between the uncalibrated analyte level and the finger blood value, that is, the inventors found in practice that there is a deviation between the measured analyte level and the actual analyte level. After calibration considering the altitude, the deviation between the analyte level corresponding to the target sensor signal and the finger blood value is smaller than the deviation between the uncalibrated analyte level and the finger blood value. Therefore, the analyte level acquisition method considering the altitude can effectively reduce the deviation between the measured analyte level and the actual analyte level, thereby improving the measurement accuracy.

[0163] The present disclosure also relates to a computer-readable storage medium, which may store at least one instruction, and when the at least one instruction is executed by a processor, it implements one or more steps in the above-mentioned method for obtaining analyte levels considering altitude, obtains the above-mentioned analyte monitoring system 10, or implements one or more steps in the above-mentioned method for obtaining corresponding relationships.

[0164] The present disclosure also relates to an electronic device, which may include a processor and a memory, wherein the processor executes a program stored in the memory to implement one or more steps in the above-mentioned method for acquiring analyte levels taking into account altitude, obtain the above-mentioned analyte monitoring system 10, or implement one or more steps in the above-mentioned method for acquiring a corresponding relationship.

[0165] Although the present disclosure is specifically described above in conjunction with the accompanying drawings and examples, it is to be understood that the above description does not limit the present disclosure in any form. Those skilled in the art may modify and change the present disclosure as needed without departing from the essential spirit and scope of the present disclosure, and these modifications and changes all fall within the scope of the present disclosure.

Claims

1. A method for obtaining analyte levels taking into account altitude, It is characterized in that include: obtaining a target sensor signal generated by an analyte sensor worn by the target subject, the target sensor signal being correlated with an analyte level of the target subject; Obtaining a target altitude at a location of a target object; and determining an analyte level corresponding to the target sensor signal based on the target altitude, the target sensor signal, and a calibration coefficient, wherein the calibration coefficient is determined by the target altitude and a predetermined correspondence, wherein the correspondence is a relationship between the altitude and the calibration coefficient.

2. The method for obtaining the analyte level according to claim 1, It is characterized in that Before the target subject wears the analyte sensor, the correspondence is programmed into a memory of an analyte monitoring system corresponding to the analyte sensor.

3. The method for obtaining the analyte level according to claim 1, It is characterized in that The corresponding relationship is a lookup table, and the calibration coefficient is obtained based on the target altitude and the lookup table, and the lookup table stores a mapping relationship between the altitude and the calibration coefficient established by statistics.

4. The method for obtaining the analyte level according to claim 1, It is characterized in that The corresponding relationship is a calibration coefficient curve, and the calibration coefficient is obtained based on the target altitude and the calibration coefficient curve. The calibration coefficient curve is determined by fitting multiple pairs of calibration data, each pair of calibration data includes an altitude and a calibration coefficient corresponding to the altitude, and the multiple pairs of calibration data are determined by a mapping relationship between altitudes and calibration coefficients established by statistics.

5. The method for obtaining the analyte level according to claim 1, It is characterized in that The calibration coefficient is a sensitivity coefficient, and the sensitivity coefficient is used to adjust the sensitivity of the analyte sensor; and / or The calibration coefficient is a signal correction coefficient, and the signal correction coefficient is used to adjust the target sensor signal.

6. The method for obtaining the analyte level according to claim 3 or 4, It is characterized in that In the statistics, an uncalibrated analyte level of the sample solution, a reference analyte level corresponding to the uncalibrated analyte level, and an altitude corresponding to the uncalibrated analyte level are obtained to obtain the corresponding relationship.

7. The method for obtaining the analyte level according to claim 6, It is characterized in that The calibration coefficient in the corresponding relationship is obtained based on the reference analyte level and the uncalibrated analyte level.

8. The method for obtaining the analyte level according to claim 1 or 2, It is characterized in that The target altitude is obtained through a barometric altitude sensor, a positioning system and / or manual input.

9. An analyte monitoring system, It is characterized in that include: An analyte sensor and a processing device, wherein the analyte sensor is configured to generate a target sensor signal, and the processing device is configured to receive the target sensor signal and a target altitude and determine the analyte level corresponding to the target sensor signal using the analyte level acquisition method according to any one of claims 1 to 8.

10. The analyte monitoring system according to claim 9, It is characterized in that The device further comprises an on-body device, wherein the on-body device is mounted on the skin surface, the analyte sensor is mounted on the on-body device, and the on-body device comprises an electronic unit, wherein the electronic unit is used to store the target sensor signal.

11. The analyte monitoring system according to claim 10, It is characterized in that The invention also includes a receiving device, which receives the target sensor signal through a wireless communication protocol and determines the analyte level corresponding to the target sensor signal through the processing device.

12. The analyte monitoring system according to claim 10, It is characterized in that The system also includes a receiving device, which receives the analyte level corresponding to the target sensor signal determined by the processing device through a wireless communication protocol.

13. The analyte monitoring system according to claim 11, It is characterized in that The receiving device includes a positioning system for obtaining the target altitude; or The on-body device includes a barometric altitude sensor for acquiring the target altitude, and the receiving device also receives the target altitude via a wireless communication protocol.

14. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the method for obtaining the analyte level as described in any one of claims 1 to 8 is implemented, or the analyte monitoring system as described in any one of claims 9 to 13 is obtained.

15. An electronic device, It is characterized in that The electronic device comprises a processor and a memory, and the processor executes a program stored in the memory to implement the analyte level acquisition method according to any one of claims 1 to 8, or obtain the analyte monitoring system according to any one of claims 9 to 13.

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