Tympanic membrane temperature measurement device, blood glucose measurement method, system, and apparatus
Patent Information
- Application Number
- CN202311177505.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-12
- Publication Date
- 2026-09-15
- Estimated Expiration
- 2043-09-12
AI Technical Summary
[0003]而在现有技术到当中,无创血糖监测技术的实现方式通常以红外测温手段为主,通过红外测温装置来测量人体的皮肤、口腔等部位的温度进而动态分析血液葡萄糖水平,但是通过红外线手段来进行无创血糖监测,往往会造成测量精度不足,容易出现误差,特别是容易受到环境温度的影响
[0034] The embodiments of this application have the following beneficial effects: This application uses a high-precision tympanic membrane temperature measuring device to set multiple temperature points in the ear canal for measurement, estimating the target tympanic membrane temperature without contacting the tympanic membrane. Then, based on the target tympanic membrane temperature, the target oral cavity temperature is estimated through a pre-established temperature correspondence between the tympanic membrane and the oral cavity. Then, a temperature correspondence between the blood glucose increment and the oral cavity temperature increment is established through a pre-calibrated invasive blood glucose value and a pre-calibrated oral cavity temperature, thereby enabling the calculation of the target blood glucose increment. Finally, the target blood glucose value is calculated based on the target blood glucose increment and the pre-calibrated invasive blood glucose value. That is, through the conversion relationship of a precision measuring device and multiple precision data, the accuracy and stability of blood glucose measurement are improved, the influence of external factors on blood glucose measurement is reduced, and the anti-interference ability of the measurement process is improved.
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Figure CN117204825B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of blood glucose monitoring, and more particularly to a tympanic membrane temperature measuring device, blood glucose measuring method, system and equipment. Background Technology
[0002] In recent years, with the continuous development of science and technology, blood glucose monitoring technology has gradually evolved from invasive blood glucose monitoring technology to non-invasive blood glucose monitoring technology to meet people's needs for blood glucose monitoring in daily life.
[0003] In the existing technologies, non-invasive blood glucose monitoring technology is usually implemented by infrared thermometry. Infrared thermometry devices are used to measure the temperature of human skin, mouth and other parts to dynamically analyze blood glucose levels. However, non-invasive blood glucose monitoring using infrared technology often results in insufficient measurement accuracy and is prone to errors, especially as it is easily affected by ambient temperature. Summary of the Invention
[0004] The main objective of this application is to provide a tympanic membrane temperature measuring device, a blood glucose measuring method, a system, and an equipment that can improve the accuracy of blood glucose measurement and reduce the influence of other factors on blood glucose measurement.
[0005] To achieve the above objectives, a first aspect of this application provides a tympanic membrane temperature measuring device, comprising:
[0006] The temperature measuring body includes a probe for insertion into the ear canal, and the probe includes a hollow cavity connecting the ear canal and the external environment;
[0007] The temperature measurement module includes multiple temperature sensors suspended in the hollow cavity. The multiple temperature sensors are arranged at intervals along the direction of the ear canal in the hollow cavity. The temperature sensors are used to measure the temperature of the ear canal to obtain the ear canal temperature parameters.
[0008] The processor, located inside the temperature measuring unit, is connected to multiple temperature sensors. The processor is used to calculate the target temperature based on the ear canal temperature parameters measured by temperature sensors at different distances from the eardrum.
[0009] To achieve the above objectives, a second aspect of this application provides a method for measuring tympanic membrane temperature, applied to the aforementioned tympanic membrane temperature measuring device, comprising the following steps:
[0010] Obtain the distance values between each temperature sensor in the temperature measurement module and the tympanic membrane;
[0011] Acquire ear canal temperature parameters measured by temperature sensors at different distances;
[0012] Based on the ear canal temperature parameters corresponding to different distance values, a predictive model for the relationship between ear canal temperature and tympanic membrane distance is determined;
[0013] The temperature at a location zero distance from the tympanic membrane is predicted using a relational prediction model to obtain the target tympanic membrane temperature.
[0014] To achieve the above objectives, a third aspect of this application provides a blood glucose measurement method, comprising the following steps:
[0015] The target tympanic membrane temperature is obtained using the tympanic membrane temperature measurement method described above.
[0016] Based on the blood glucose conversion relationship, the target tympanic membrane temperature is converted to the corresponding blood glucose value to obtain the target blood glucose value.
[0017] To achieve the above objectives, a fourth aspect of this application provides a blood glucose measurement system, which further includes:
[0018] Tympanic membrane temperature measuring device, used to obtain tympanic membrane temperature and ambient temperature;
[0019] A blood glucose prediction device used to predict blood glucose levels based on tympanic membrane temperature and ambient temperature;
[0020] The tympanic membrane temperature measuring device is the tympanic membrane temperature measuring device described in the first aspect above;
[0021] The prediction method of the blood glucose prediction device is the blood glucose measurement method described in the third aspect above;
[0022] The tympanic membrane temperature measuring device and the blood glucose prediction device transmit data through the wireless transmission component of the tympanic membrane temperature measuring device.
[0023] To achieve the above objectives, a fifth aspect of this application proposes a temperature curve relationship calibration method, applied to a terminal, which further includes the following steps:
[0024] Call the calibration program;
[0025] Obtain the calibrated blood glucose value and oral calibrated temperature input by the user;
[0026] In response to the tympanic membrane temperature measuring device of the first aspect above acquiring the tympanic membrane calibration temperature and the ambient calibration temperature within a preset time period, the calibrated blood glucose value, oral cavity calibration temperature, tympanic membrane calibration temperature and ambient calibration temperature are sent to the server.
[0027] In response to the successful establishment of the temperature curve calibration relationship on the server, the system displays the calibration completion status and sends a message to the tympanic membrane temperature measuring device indicating that it has entered the monitoring state.
[0028] To achieve the above objectives, a sixth aspect of this application provides a blood glucose measurement method applied to a terminal, which further includes the following steps:
[0029] Call the detection program;
[0030] In response to the information that the tympanic membrane temperature measuring device measures the target tympanic membrane temperature within a preset time period, the information is sent to the server.
[0031] In response to the target blood glucose value returned by the server, the target blood glucose value is stored and a blood glucose change trend curve is generated.
[0032] To achieve the above objectives, a seventh aspect of the present application provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the methods described in the embodiments of the second, third, fourth, fifth, and sixth aspects described above.
[0033] To achieve the above objectives, an eighth aspect of the present application provides a storage medium, which is a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods described in the embodiments of the second, third, fourth, fifth, and sixth aspects described above.
[0034] The embodiments of this application have the following beneficial effects: This application uses a high-precision tympanic membrane temperature measuring device to set multiple temperature points in the ear canal for measurement, estimating the target tympanic membrane temperature without contacting the tympanic membrane. Then, based on the target tympanic membrane temperature, the target oral cavity temperature is estimated through a pre-established temperature correspondence between the tympanic membrane and the oral cavity. Then, a temperature correspondence between the blood glucose increment and the oral cavity temperature increment is established through a pre-calibrated invasive blood glucose value and a pre-calibrated oral cavity temperature, thereby enabling the calculation of the target blood glucose increment. Finally, the target blood glucose value is calculated based on the target blood glucose increment and the pre-calibrated invasive blood glucose value. That is, through the conversion relationship of a precision measuring device and multiple precision data, the accuracy and stability of blood glucose measurement are improved, the influence of external factors on blood glucose measurement is reduced, and the anti-interference ability of the measurement process is improved. Attached Figure Description
[0035] Figure 1 This is a schematic diagram of ear canal temperature distribution provided in some embodiments of this application;
[0036] Figure 2 This is a structural diagram of the tympanic membrane temperature measuring device provided in some embodiments of this application;
[0037] Figure 3 This is a structural diagram of the wireless transmission component in the tympanic membrane temperature measuring device provided in some embodiments of this application;
[0038] Figure 4 This is a diagram showing the device connection relationships of the tympanic membrane temperature measuring device provided in some embodiments of this application;
[0039] Figure 5 This is a schematic diagram of an optional architecture of the blood glucose measurement system provided in some embodiments of this application.
[0040] Figure 6 This is a flowchart of a tympanic membrane temperature measurement method provided in some embodiments of this application;
[0041] Figure 7 This is a flowchart of a tympanic membrane temperature measurement method provided in some other embodiments of this application;
[0042] Figure 8 This is a flowchart of a tympanic membrane temperature measurement method provided in some other embodiments of this application;
[0043] Figure 9 This is a graph showing the relationship between the distance from the ear canal to the tympanic membrane and the ear canal temperature for volunteer A at an ambient temperature of 22.3°C, according to some embodiments of this application.
[0044] Figure 10 This is a flowchart of a blood glucose measurement method provided in some embodiments of this application;
[0045] Figure 11 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0046] Figure 12 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0047] Figure 13 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0048] Figure 14 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0049] Figure 15 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0050] Figure 16 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0051] Figure 17 This is a graph showing the universal relationship between the ambient temperature and the difference between the tympanic membrane temperature and the oral cavity temperature of multiple volunteers provided in some embodiments of this application;
[0052] Figure 18This is a graph comparing the equations of the relationship curves between the ambient temperature and the difference between the tympanic membrane temperature and the oral cavity temperature of volunteer B provided in some embodiments of this application and the universal relationship curve.
[0053] Figure 19 This is a graph comparing the equations of the relationship curves between the ambient temperature and the difference between the tympanic membrane temperature and the oral cavity temperature of volunteer C provided in some embodiments of this application and the universal relationship curve.
[0054] Figure 20 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0055] Figure 21 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0056] Figure 22 This is a dynamic curve of tympanic membrane temperature of volunteer D over 24 hours, provided in some embodiments of this application;
[0057] Figure 23 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0058] Figure 24 This is a structural framework diagram of a blood glucose measurement system provided in some embodiments of this application;
[0059] Figure 25 This is a flowchart of a temperature curve relationship calibration method provided in some embodiments of this application;
[0060] Figure 26 This is a flowchart of a blood glucose measurement method provided in other embodiments of this application.
[0061] Figure 26 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0062] Figure 27 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0063] Figure 28 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application;
[0064] Figure 29 This is a schematic diagram of the hardware structure of an electronic device provided in some embodiments of this application.
[0065] Reference numerals: 200 tympanic membrane temperature measuring device, 210 temperature measuring body, 211 probe, 212 hollow cavity, 220 temperature measuring module, 221 temperature sensor, 230 processor, 240 ambient temperature and humidity sensor, 241 support component, 250 wireless transmission component, 251 information processor, 252 transmitter, 253 receiver, 260 power supply, 270 charging component, 280 inductive switch, 290 ranging sensor. Detailed Implementation
[0066] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0067] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0068] It should also be noted that in the description of this application, "several" means one or more, "multiple" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. If the terms "first" and "second" are used, they are only for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.
[0069] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.
[0070] In the description of this application, the terms "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0071] First, let's analyze some of the terms used in this application:
[0072] Non-invasive blood glucose testing technology: Non-invasive blood glucose testing technology refers to methods that measure a person's blood glucose level without the need for puncture to collect a blood sample. Traditional blood glucose testing usually requires the use of a needle or pulse oximeter to collect a drop of blood for measurement. Non-invasive blood glucose testing technology avoids this uncomfortable and painful process, achieving blood glucose monitoring through a non-invasive method.
[0073] In the existing technologies, non-invasive blood glucose monitoring technology is usually implemented by infrared thermometry. Infrared thermometry devices are used to measure the temperature of human skin, mouth and other parts to dynamically analyze blood glucose levels. However, non-invasive blood glucose monitoring using infrared technology often results in insufficient measurement accuracy and is prone to errors, especially as it is easily affected by ambient temperature.
[0074] Meanwhile, most infrared thermometers currently on the market use single-temperature sensors to measure skin, oral cavity, or ear canal temperature. For ear canal temperature measurements, two issues arise: firstly, the device needs to be repeatedly adjusted to the correct position within the ear canal to obtain accurate temperature readings, making the process cumbersome; secondly, the device typically creates a sealed space within the ear canal, which isolates it from external convection and radiation heat transfer, causing heat to accumulate and resulting in a consistently higher measured temperature than the true eardrum temperature; and furthermore... Figure 1 As shown, Figure 1 This is a schematic diagram of the ear canal temperature distribution provided in some embodiments of this application. It can be seen that the measured temperature result is greatly affected by the position of the sensor in the ear canal. The closer to the eardrum in the ear canal, the higher the measured temperature. Moreover, when the ambient temperature changes, the measured temperature also changes, making the temperature measurement result inaccurate.
[0075] Based on this, embodiments of this application provide a tympanic membrane temperature measuring device, a blood glucose measuring method, a calibration method, a system, and an equipment. The high-precision tympanic membrane temperature measuring device sets multiple temperature points in the ear canal for measurement, estimating the target tympanic membrane temperature without contact with the tympanic membrane. Then, based on the target tympanic membrane temperature, the target oral cavity temperature is estimated through a pre-established temperature correspondence between the tympanic membrane and the oral cavity. Next, a temperature correspondence is established between the blood glucose increment and the oral cavity temperature increment using pre-calibrated invasive blood glucose values and oral cavity calibration temperatures. Based on this correspondence and the target oral cavity temperature, the target blood glucose increment is calculated. Finally, the target blood glucose value is derived based on the target blood glucose increment and the pre-calibrated invasive blood glucose value. In other words, through a precise measuring device and the conversion relationship of multiple precise data, the accuracy and stability of blood glucose measurement can be improved, the influence of external factors on blood glucose measurement can be reduced, and the anti-interference ability of the measurement process can be enhanced.
[0076] The tympanic membrane temperature measuring device, blood glucose measuring method, calibration method, system and equipment provided in the embodiments of this application are specifically described through the following embodiments. First, the tympanic membrane temperature measuring device in the embodiments of this application is described.
[0077] Reference Figure 2 As shown, Figure 2 This is a structural diagram of a tympanic membrane temperature measuring device provided in some embodiments of this application. The tympanic membrane temperature measuring device 200 includes a temperature measuring body 210, which includes a probe 211 for insertion into the ear canal. The probe 211 includes a hollow cavity 212 connecting the ear canal and the external environment. The temperature measuring module 220 includes multiple temperature sensors 221 suspended within the hollow cavity 212. The multiple temperature sensors 221 are arranged at intervals along the ear canal direction within the hollow cavity 212. The temperature sensors 221 are used to measure the ear canal temperature to obtain ear canal temperature parameters. The processor 230 is disposed within the temperature measuring body 210 and is connected to the multiple temperature sensors 221. The processor 230 is used to calculate the target temperature based on the ear canal temperature parameters measured by the temperature sensors 212 at different distances from the tympanic membrane. The hollow cavity 212 between the ear canal and the external environment allows the tympanic membrane temperature measuring device 200 to form a non-sealed space within the ear canal, enabling air to circulate freely within the hollow cavity 212. This allows heat emitted from the ear canal to be transferred to the surrounding environment through convection and radiation, preventing heat accumulation in the ear canal. Furthermore, multiple temperature sensors 221 suspended within the hollow cavity enable multi-directional temperature measurement of the ear canal, improving the accuracy of temperature measurements.
[0078] Specifically, the temperature sensor 221 is a negative temperature coefficient resistance thermometer (e.g., Pt100 platinum resistance thermometer, NTC thermistor) or a thermocouple (e.g., nickel-silicon thermocouple, nickel-chromium-copper-nickel thermocouple, platinum-rhodium 13-platinum thermocouple). It can also be a digital temperature sensor or an analog temperature sensor. This application does not make any specific limitations.
[0079] Specifically, the temperature sensor 221 is a high-precision temperature sensor with an accuracy range of not less than 0.02℃, and the size of the temperature sensor 221 is not greater than 2mm, thereby ensuring that the measured ear canal temperature parameters have good accuracy and linearity.
[0080] It should be noted that the number of temperature sensors 221 in the temperature measurement module 220 is greater than three. The spacing between adjacent temperature sensors 221 in the temperature measurement module 220 is equal, or the spacing between adjacent temperature sensors 221 can be linearly increasing or linearly decreasing.
[0081] Furthermore, the temperature sensor 221 is suspended and fixed inside the hollow cavity 212 by a support structure. The temperature sensor 221 is located at the central axis of the hollow cavity 212, which can reduce the influence of heat from the ear canal wall on the temperature sensor 221.
[0082] It should also be noted that the length of the hollow cavity 212 is not less than 10mm, the diameter of the narrowest part of the hollow cavity 212 is not less than 2mm, and the hollow cavity 212 can be cylindrical, conical, or ear canal-like, thus making it more ergonomic.
[0083] Furthermore, the material of the hollow cavity 212 can be a polymer material that is not easily deformed and does not conduct heat well, and is also a green material that is harmless to the human body.
[0084] It should also be noted that the temperature sensing body 210 can also be made of a soft material that is compatible with the skin and does not conduct heat well, such as silicone, rubber, polyethylene, polypropylene, or polyvinyl acetate. This reduces the damage to the ear canal caused by the temperature sensing body 210 and increases the user's comfort during long-term wear.
[0085] Furthermore, the outer shell structure of the temperature measuring body 210 can be a solid structure, or it can be designed as a hollow or folded structure; this application does not impose any specific limitations.
[0086] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 200 also includes an ambient temperature and humidity sensor 240. The ambient temperature and humidity sensor 240 is located at the non-ear end of the temperature measuring body 210. The ambient temperature and humidity sensor 240 is used to measure the air temperature and air humidity parameters of the external environment. The ambient temperature and humidity sensor 240 is connected to the processor 230, thereby avoiding the temperature measuring body from generating heat during operation, which would affect the measurement results of the ambient temperature and humidity sensor 240.
[0087] It should be noted that when the ambient temperature and humidity sensor 240 senses that the humidity is greater than the first preset humidity threshold, it sends a stop working signal to the processor 230; or, when the ambient temperature and humidity sensor 240 senses that the temperature is greater than the first preset temperature threshold or less than the second preset temperature threshold, it sends a stop working signal to the processor 230. This can limit the influence of extreme external humidity or temperature environments on ear canal temperature measurement, and at the same time, it can also verify the predicted tympanic membrane temperature.
[0088] Furthermore, the first preset humidity threshold can be 70%, 75%, 80%, or 85%, and this application does not make any specific limitation.
[0089] Furthermore, the first preset temperature threshold can be 7℃, 5℃, 2℃, or 0℃, and the second preset temperature threshold can be 30℃, 35℃, or 40℃. This application does not make any specific limitations.
[0090] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 200 also includes a support component 241, which is disposed at the non-ear end of the temperature measuring body 210 and is used to fit against the outer ear of the human body.
[0091] Specifically, the support component 241 can be an arc-shaped protrusion whose shape should match the concave part below the outer ear. When the temperature measuring body 210 enters the ear canal, the support component 241 fits against the outer ear of the human body, so that the user can perceive whether the temperature measuring body 210 is in place to ensure that the position and depth of each insertion are basically consistent.
[0092] Meanwhile, the material of the supporting component 241 can also be a soft material that is skin-compatible and does not easily conduct heat.
[0093] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 290 also includes a distance sensor. The distance sensor 290 is disposed at the ear end of the temperature measuring body 210. The distance sensor 290 is used to measure the distance between the probe 211 and the tympanic membrane. The distance sensor 290 is connected to the processor 230.
[0094] Specifically, the ranging sensor 290 can be an ultrasonic ranging sensor, a laser ranging sensor, or an infrared ranging sensor; this application does not make any specific limitations.
[0095] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 200 also includes a wireless transmission component 250, which is used to transmit data with the processor 230 or an external processor. The wireless transmission component 250 is connected to the processor 230.
[0096] Specifically, refer to Figure 3 As shown, Figure 3 This is a structural diagram of a wireless transmission component provided in some embodiments of this application. The wireless transmission component 250 further includes a signal processor 251, which is used to filter and enhance the transmitted signal and is connected to the processor 230; a transmitter 252, which is used to convert digital signals into wireless signals and is connected to the signal processor 251; and a receiver 253, which is used to convert wireless signals into digital signals and is connected to the signal processor 251.
[0097] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 200 also includes a power supply 260, which is used to store electrical energy. The power supply 260 is connected to the processor 230, the temperature measuring module 220, the ranging sensor 290 and the wireless transmission component 250 respectively and transmits electrical energy.
[0098] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 200 also includes a charging component 270, which is used to transmit power to the power supply 260 and is connected to the power supply 260.
[0099] Specifically, the charging component 270 can be a wireless charging component, a wired charging component, or a contact charging component. It can also be paired with different charging accessories depending on the different charging components. These accessories can be a charging socket, a charging cable, or a contact charging socket. This application does not make any specific limitations.
[0100] Furthermore, refer to Figure 2 As shown, the tympanic membrane temperature measuring device 200 also includes a sensor switch 280, which is used to sense user operation to control the operation of the power supply 260. The sensor switch 280 is connected to the power supply 260.
[0101] Specifically, the inductive switch 280 can be pressed to sense the pressure of the user's finger pressing the sensing area in the tympanic membrane temperature measuring device 200 to control the operation of the power supply 260; it can be a vibration inductive switch to sense the vibration generated by the user's finger pressing the sensing area in the tympanic membrane temperature measuring device 200 to control the operation of the power supply 260; or it can be a sound wave inductive switch to sense the user's voice to control the operation of the power supply 260. This application does not make any specific limitations.
[0102] Reference Figure 4 As shown, Figure 4 This is a diagram showing the device connection relationships of a tympanic membrane temperature measuring device provided in some embodiments of this application. Figure 4 Solid lines represent signal transmission lines, dashed lines represent current lines supplying power to the devices, and arrows indicate the direction of signal or current transmission. Specifically, power supply 260 is connected to processor 230, temperature measurement module 220, ranging sensor 290, and wireless transmission component 250 to transmit power. Inductive switch 280 is connected to power supply 260 to transmit signals. Charging component 270 is connected to power supply 260 to transmit power. Ambient temperature and humidity sensor 240, power supply 260, and ranging sensor 290 are connected to processor 230 to transmit signals. Processor 230 is connected to wireless transmission component 250 to transmit signals bidirectionally.
[0103] On the other hand, refer to Figure 5 As shown, Figure 5This is a schematic diagram of an optional architecture of a blood glucose measurement system provided in some embodiments of this application. To implement an exemplary application, it includes a terminal 510, a server 530, and a tympanic membrane temperature measuring device 200. The terminal 510 communicates with the server 530 via a network 520, the server 530 communicates with the tympanic membrane temperature measuring device 200 via the network 520, and the tympanic membrane temperature measuring device 200 communicates with the terminal 510 via the network 520. The network 520 can be a wide area network (WAN), a local area network (LAN), or a combination of both, using a wireless link for data transmission. It is understood that in other embodiments, the number of terminals 510 may not be limited to two. Figure 5 Terminal 510 in the diagram is for illustrative purposes only.
[0104] Optionally, the aforementioned wireless link transmission can be WIFI (Wireless Fidelity), BT (Bluetooth), UWB (Ultra Wide Band), ZB (ZigBee), or NFC (Near Field Communication).
[0105] Optionally, the aforementioned server 530 can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.
[0106] Additionally, server 530 can also be a node server in a blockchain network. Blockchain is a new application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and cryptographic algorithms. Essentially, a blockchain is a decentralized database, a chain of data blocks linked using cryptographic methods. Each data block contains information about a batch of network transactions, used to verify the validity of the information (anti-counterfeiting) and generate the next block. A blockchain can include an underlying blockchain platform, a platform product service layer, and an application service layer.
[0107] Optionally, the terminal 510 can be any type of user terminal such as a smartphone, tablet, laptop, or smart wearable device.
[0108] Furthermore, the terminal 510 is equipped with a terminal application (App). Users can interact with the terminal through the App displayed on the terminal screen, for example, via touchscreen or operation buttons. One process is as follows: after the tympanic membrane temperature measuring device 200 acquires the tympanic membrane temperature and ambient temperature, it sends a network request carrying the tympanic membrane temperature and ambient temperature parameters to the terminal 510. When the terminal 510 responds to the network request for the tympanic membrane temperature and ambient temperature parameters on the App, it sends a network request carrying the tympanic membrane temperature, ambient temperature parameters, and target blood glucose information to the server 530. Another process is as follows: after the tympanic membrane temperature measuring device 200 acquires the tympanic membrane temperature and ambient temperature, it sends a network request carrying the tympanic membrane temperature and ambient temperature parameters to the server 530 and sends a network request to the terminal 510 indicating successful parameter acquisition. The terminal 510 responds to the network request indicating successful tympanic membrane temperature and ambient temperature parameter acquisition on the App and then sends a network request to the server 530 indicating the target blood glucose information.
[0109] Furthermore, after the interaction process based on either of the above two steps is completed, when terminal 510 responds to the user's input of the calibrated blood glucose value and oral calibrated temperature on the App, terminal 510 sends a network request carrying the calibrated blood glucose value and oral calibrated temperature parameters to server 530; when server 530 responds to network requests carrying tympanic membrane temperature and ambient temperature, and network requests carrying the calibrated blood glucose value and oral calibrated temperature, server 530 predicts the target blood glucose value based on the above parameters, and after the prediction is completed, sends a network request carrying the target blood glucose value to terminal 510. When terminal 510 responds to the network request for the target blood glucose value returned by server 530 on the App, it stores the target blood glucose value on the App, and then generates and updates the blood glucose change trend curve.
[0110] Reference Figure 6 As shown, Figure 6 This is a flowchart of a method for measuring tympanic membrane temperature provided in some embodiments of this application. The method for measuring tympanic membrane temperature may include, but is not limited to, steps S610, S620, S630 and S640.
[0111] Step S610: Obtain the distance values between each temperature sensor and the diaphragm in the temperature measurement module;
[0112] It should be noted that the distance values from each temperature sensor to the tympanic membrane can be measured manually using an optical instrument, or automatically by the aforementioned tympanic membrane temperature measuring device. Alternatively, the distance from one temperature sensor to the tympanic membrane can be measured manually or by the tympanic membrane temperature measuring device, and then the distance values of the other temperature sensors to the tympanic membrane can be calculated sequentially based on that distance value.
[0113] Step S620: Obtain ear canal temperature parameters measured by temperature sensors at different distances;
[0114] Specifically, based on multiple temperature sensors preset in the tympanic membrane temperature measuring device, lateral measurements are performed on the ear canal space to obtain ear canal temperature parameters corresponding to different positions in the horizontal axis direction of the ear canal space, thereby improving the fault tolerance of ear canal temperature measurement.
[0115] Step S630: Determine the predictive model of the relationship between ear canal temperature and tympanic membrane distance based on the ear canal temperature parameters corresponding to different distance values;
[0116] Specifically, based on the two-dimensional relationship between different tympanic membrane distance values and corresponding ear canal temperature parameters, a nonlinear relationship curve between the tympanic membrane distance value and the corresponding ear canal temperature parameter can be determined. This nonlinear relationship curve can be fitted with a quadratic equation, a cubic equation, or an Nth-order equation. Furthermore, the data on the X-axis of the nonlinear relationship curve can be the tympanic membrane distance value, and the data on the Y-axis can be the ear canal temperature parameter. Based on this nonlinear relationship curve, a predictive model for the relationship between ear canal temperature and tympanic membrane distance can be constructed, thereby improving the accuracy of tympanic membrane temperature prediction.
[0117] Step S640: Based on the relationship prediction model, predict the temperature at the position with a distance of zero from the tympanic membrane to obtain the target tympanic membrane temperature.
[0118] Specifically, based on the relationship curve in the relationship prediction model, the ear canal temperature parameter on the Y-axis corresponding to the position on the X-axis where the distance from the tympanic membrane is zero is nonlinearly predicted to obtain the target tympanic membrane temperature.
[0119] Reference Figure 7 As shown, Figure 7 This is a flowchart of a tympanic membrane temperature measurement method provided in some other embodiments of this application. The tympanic membrane temperature measurement method may include, but is not limited to, steps S710 and S720.
[0120] Step S710: Measure the distance from the temperature sensor closest to the tympanic membrane to the tympanic membrane using a ranging sensor to obtain a first distance value;
[0121] Specifically, the distance sensor 290 locates a temperature sensor and the tympanic membrane within the temperature measurement module, and then measures the distance between them to obtain a first distance value. The temperature sensor can be located at the position closest to the tympanic membrane, the position furthest from the tympanic membrane, or even in the middle of the temperature measurement module.
[0122] Step S720: Determine the distance between each temperature sensor and the tympanic membrane based on the first distance value and the preset spacing between two adjacent temperature sensors.
[0123] Specifically, mathematical operations are performed by measuring a first distance value and the preset distance between two adjacent temperature sensors. These operations can be addition, subtraction, proportional multiplication, or proportional division. For example: when the first distance is the distance closest to the eardrum, the first distance value can be added to or proportionally multiplied by the preset distance to obtain the distance between the subsequent temperature sensor and the eardrum; when the first distance is the distance furthest from the eardrum, the first distance value can be subtracted from or proportionally divided by the preset distance to obtain the distance between the subsequent temperature sensor and the eardrum; when the first distance is the distance to the middle position of the temperature measurement module, the first distance value can be added to or proportionally multiplied by the preset distance towards the eardrum, and subtracted from or proportionally divided by the preset distance towards the eardrum; when proportionally multiplying or dividing, the ratio can be a preset distance that is 1.1 times, 1.2 times, or 1.5 times the first distance value.
[0124] Reference Figure 8 As shown, Figure 8 This is a flowchart of a tympanic membrane temperature measurement method provided in some other embodiments of this application. The tympanic membrane temperature measurement method may include, but is not limited to, steps S810, S820 and S830.
[0125] Step S810: Based on the relationship prediction model, differentiate the curve equation of the relationship prediction model to obtain the relationship derivative equation;
[0126] Specifically, based on the relationship prediction model, the curve equation of the relationship prediction model is differentiated. In the process of differentiation, the first derivative, the second derivative, or the Nth derivative can be obtained. This application does not impose any limitations.
[0127] Step S820: Based on the relational derivative equation, find the extreme points of the relational derivative equation to obtain the extreme values of the target equation;
[0128] Specifically, when an extreme point is found, it is taken as the extreme value of the target equation. When two or more extreme points are found, the extreme point that is in the first or second quadrant and has the smallest absolute value in the X-axis direction is taken as the extreme value of the target equation. This makes the extreme value of the target equation closer to the true temperature value at which the distance from the tympanic membrane is zero, and makes the data more accurate.
[0129] Step S830: Based on the extreme value of the target equation and the curve equation, fit the position at which the distance from the tympanic membrane is zero to obtain the target tympanic membrane temperature.
[0130] Specifically, during the fitting process, due to the uncertainty of the curve equation, the following three situations may occur: First, when the extreme value of the target equation is on the x-axis equal to 0, the y-value of the current extreme value of the target equation is taken as the target tympanic membrane temperature. Second, when the extreme value of the target equation is less than 0 on the x-axis, the y-value of the current extreme value of the target equation is taken as the target tympanic membrane temperature. Third, when the extreme value of the target equation is greater than 0 on the x-axis, the y-value of the current extreme value of the target equation is taken as the target tympanic membrane temperature, or the y-value of the current extreme value of the target equation is taken as the target tympanic membrane temperature, or the average of the y-value of the current extreme value of the target equation and the y-value of the extreme value of the target equation is taken as the target tympanic membrane temperature. This can make the fitting effect of the target tympanic membrane temperature more accurate.
[0131] The method for measuring tympanic membrane temperature of this application will be described in detail below with an example.
[0132] First, the temperature sensors in the tympanic membrane temperature measurement device were set to five temperature sensors arranged at equal intervals. Then, under the same ambient temperature and humidity, the temperature at five locations in the ear canal was repeatedly measured multiple times on the same volunteer. The distance from the temperature sensor closest to the tympanic membrane was selected as the first distance value, and the distance was measured manually using optical detection. The distances from subsequent temperature sensors to the tympanic membrane were then calculated using the first distance value and a preset equal spacing. The relevant data are shown in Table 1, which presents the measurement results for volunteer A at an ambient temperature of 22.3℃.
[0133]
[0134] Then, based on the average data measured in Table 1 above, the relationship between the distance to the tympanic membrane and the ear canal temperature was fitted to obtain... Figure 9 As shown, Figure 9 This is a graph showing the relationship between the distance from the ear canal to the tympanic membrane and the ear canal temperature for volunteer A at an ambient temperature of 22.3°C, according to some embodiments of this application.
[0135] like Figure 9It can be seen that the temperature in the ear canal decreases non-linearly from the tympanic membrane to the outside, and the decrease is greater the closer to the outside. The relationship between ear canal temperature and tympanic membrane distance is fitted by the following quadratic curve equation (the dashed line in the figure is the simulated curve):
[0136] (1) T = -0.0105x 2 +0.0599x+39.539;
[0137] Where T is the temperature measured by the temperature sensor, and x is the distance from the position of the temperature sensor to the tympanic membrane.
[0138] Taking the first derivative of equation (1) and setting it to 0, we get:
[0139] (2) T'=-0.0105x+0.0599=0,
[0140] Equation (2) gives the highest extreme point x of the curve described by equation (1). p =5.799 (mm), x p Substituting into (1) yields the highest temperature value T. p =39.629℃.
[0141] Because x p =5.799(mm)>0, therefore, the target tympanic membrane temperature is selected by using the y-value where the X-axis of the current target equation is equal to 0. In equation (1), x=0 is the location of the tympanic membrane. Substituting x=0 into the equation yields the target tympanic membrane temperature T. g =39.539℃.
[0142] For example, using an average oral temperature of 37.71℃ as a standard, the calculated target tympanic membrane temperature is 0.729℃ higher than the oral temperature. However, existing technology indicates that the tympanic membrane temperature is generally 0.5℃ to 0.6℃ higher than the oral temperature. Considering the possibility that the probe 211 may impede heat transfer, leading to a slightly higher temperature near the tympanic membrane, the aforementioned target tympanic membrane temperature T... g =39.539℃ is reasonable.
[0143] Reference Figure 10 As shown, Figure 10 This is a flowchart of a blood glucose measurement method provided in some embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S1010 and S1020.
[0144] Step S1010: Obtain the target tympanic membrane temperature using the tympanic membrane temperature measurement method described above;
[0145] Step S1020: Based on the blood glucose conversion relationship, the target tympanic membrane temperature is converted to the corresponding blood glucose value to obtain the target blood glucose value.
[0146] It should be noted that the blood glucose conversion relationship in this application can be directly converted from tympanic membrane temperature to the target blood glucose value, or it can be indirectly converted from tympanic membrane temperature to oral temperature, and then converted from oral temperature to the target blood glucose value.
[0147] Reference Figure 11 As shown, Figure 11 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S1110, S1120, S1130 and S1140.
[0148] Step S1110: Obtain the target ambient temperature using an ambient temperature and humidity sensor;
[0149] It should be noted that the target ambient temperature needs to be obtained under a constant ambient temperature. When the temperature difference of the target ambient temperature exceeds the preset first temperature difference threshold during the measurement process of the preset duration, the ambient temperature and humidity sensor 250 in the tympanic membrane temperature measuring device will send a stop working signal to the processor.
[0150] Step S1120: Based on the relationship between the ambient temperature and the temperature difference between the tympanic membrane and the oral cavity, perform a relationship conversion on the target ambient temperature to obtain the temperature difference between the tympanic membrane and the oral cavity at the target ambient temperature.
[0151] It should be noted that, based on the relationship between the ambient temperature and the temperature difference between the tympanic membrane and the oral cavity, the temperature difference under the current target ambient temperature is fitted and predicted to obtain the temperature difference between the tympanic membrane and the oral cavity under the target ambient temperature. The relationship between the ambient temperature and the temperature difference between the tympanic membrane and the oral cavity is fitted using calibration data.
[0152] Step S1130: Based on the temperature difference, perform temperature conversion on the target tympanic membrane temperature to obtain the target oral cavity temperature;
[0153] It should be noted that the target tympanic membrane temperature is obtained by summing the target temperature and the temperature difference.
[0154] Step S1140: Based on the relationship between oral temperature and blood glucose, the target oral temperature is converted to the corresponding blood glucose value to obtain the target blood glucose value.
[0155] It should be noted that the relationship between oral temperature and blood glucose was fitted using calibration data.
[0156] Reference Figure 12 As shown, Figure 12This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S1210, S1220, S1230 and S1240.
[0157] Step S1210: Obtain multiple environmental calibration temperatures, and their corresponding tympanic membrane calibration temperature and oral cavity calibration temperature;
[0158] It should be noted that multiple environmental calibration temperatures can be obtained within 24 hours. These temperatures can be obtained around times when there are significant differences in environmental temperature, such as the time range of 5:30 to 6:30 in the morning, 12:30 to 13:30 in the afternoon, 16:30 to 18:30 in the afternoon, or 22:30 to 25:00. This application does not impose any specific limitations.
[0159] Furthermore, oral temperature calibration requires the use of an oral temperature measuring device to calibrate and test the oral cavity.
[0160] Step S1220: Based on the environmental calibration temperature, calculate the difference between the tympanic membrane calibration temperature and the oral cavity calibration temperature at each environmental calibration temperature to obtain the temperature difference between the tympanic membrane and the oral cavity at multiple environmental calibration temperatures;
[0161] It should be noted that the difference between the tympanic membrane calibration temperature and the oral cavity calibration temperature can be calculated by taking the average of multiple tympanic membrane calibration temperatures and multiple oral cavity calibration temperatures at the same ambient temperature and then taking the difference between the two, or by calculating the difference between multiple tympanic membrane calibration temperatures and oral cavity calibration temperatures and then taking the average. This application does not make any specific limitation.
[0162] Step S1230: Determine the target temperature difference relationship between the tympanic membrane and the oral cavity under different ambient temperatures based on multiple environmental calibration temperatures and their corresponding temperature differences;
[0163] It should be noted that in the fitting curve of the relationship between the target temperature difference between the tympanic membrane and the oral cavity under different ambient temperatures, the X-axis represents the ambient temperature and the Y-axis represents the target temperature difference between the tympanic membrane and the oral cavity. This curve can be a linear equation curve, a quadratic equation curve, or an Nth degree equation curve. This application does not make any specific limitation.
[0164] Step S1240: Based on the target temperature difference relationship, perform a relationship conversion on the target ambient temperature to obtain the temperature difference between the tympanic membrane and the oral cavity at the target ambient temperature.
[0165] Furthermore, the Y value corresponding to the X-axis of the target ambient temperature on the fitted relationship curve is used as the temperature difference between the tympanic membrane and the oral cavity under the target ambient temperature.
[0166] Reference Figure 13 As shown, Figure 13 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S1310, S1320 and S1330.
[0167] Step S1310: Obtain the universal temperature difference relationship between the tympanic membrane and the oral cavity as the first temperature difference relationship;
[0168] It should be noted that because everyone's physical condition is different, the temperature difference between the tympanic membrane and the oral cavity is also different for each person. The universal temperature difference relationship is a relationship fitted by collecting the average temperature difference between the tympanic membrane and the oral cavity of the general public under different environmental temperatures. It represents the average level of the temperature difference between the tympanic membrane and the oral cavity of most people under different environmental temperatures.
[0169] Step S1320: Based on multiple environmental calibration temperatures and corresponding temperature differences, determine the temperature difference relationship between the tympanic membrane and the oral cavity under different environmental temperatures as the second temperature difference relationship;
[0170] It should be noted that the second temperature difference relationship is the temperature difference relationship between the tympanic membrane and the oral cavity under different ambient temperatures, which is fitted by the user through the ambient calibration temperature, tympanic membrane calibration temperature and oral cavity calibration temperature.
[0171] Step S1330: Under the same ambient temperature, the difference between the first temperature difference relationship and the second temperature difference relationship is compared with a preset threshold to obtain the target temperature difference relationship.
[0172] Specifically, because individuals are easily affected by the external environment during the measurement process, there are certain errors in the measured ambient temperature, tympanic membrane temperature, and oral cavity temperature. Consequently, the fitted relationship between the temperature difference between the tympanic membrane and oral cavity under different ambient temperatures for an individual may have some errors. It is necessary to correct the individual temperature difference relationship through a universal temperature difference relationship to make the fitted result more accurate, thereby improving the accuracy of subsequent blood glucose conversion.
[0173] Reference Figure 14 As shown, Figure 14 This is a flowchart of a blood glucose measurement method provided in other embodiments of this application, which may include, but is not limited to, steps S1410 and S1420.
[0174] Step S1410: If the absolute value of the relationship difference is less than a preset threshold, then the second temperature difference relationship is taken as the target temperature difference relationship;
[0175] It should be noted that if the absolute value of the first temperature difference relationship is less than the preset threshold under the same ambient temperature, the second temperature difference relationship is within a reasonable error range, and the second temperature difference relationship is taken as the target temperature difference relationship.
[0176] Step S1420: Alternatively, if the absolute value of the relationship difference is greater than or equal to a preset threshold, the relationship curve of the first temperature difference relationship is shifted up and down in the corresponding direction according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship.
[0177] It should be noted that if the absolute value of the relationship difference is greater than or equal to the preset threshold, the second temperature difference relationship is outside the reasonable error range. The relationship curve of the first temperature difference relationship needs to be shifted vertically in the corresponding direction according to the relationship difference. The amount of displacement is determined by the magnitude of the difference, and the direction of displacement is determined by the sign of the difference.
[0178] Furthermore, the value of the relationship difference can be the difference between the average temperature difference of the first temperature difference relationship and the average temperature difference of the second temperature difference relationship, or it can be the difference between the temperature difference of the first temperature difference relationship and the temperature difference of the second temperature difference relationship at the same temperature, or it can be the average difference between the temperature difference of the first temperature difference relationship and the temperature difference of the second temperature difference relationship at multiple temperatures.
[0179] Reference Figure 15 As shown, Figure 15 This is a flowchart of a blood glucose measurement method provided in other embodiments of this application, which may include, but is not limited to, steps S1510 and S1520.
[0180] Step S1510: When the relationship difference is positive, the relationship curve of the first temperature difference relationship is shifted downward according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship.
[0181] It should be noted that when the relationship difference is positive, the relationship curve of the first temperature difference relationship is above the coordinate axis of the relationship curve of the second temperature difference relationship. It is necessary to shift the relationship curve of the first temperature difference relationship downward by the displacement of the relationship difference, and then use the shifted first temperature difference relationship as the target temperature difference relationship.
[0182] Step S1520: Alternatively, when the relationship difference is negative, the relationship curve of the first temperature difference relationship is shifted upward according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship.
[0183] It should be noted that when the relationship difference is negative, the relationship curve of the first temperature difference relationship is below the coordinate axis of the relationship curve of the second temperature difference relationship. It is necessary to shift the relationship curve of the first temperature difference relationship upward by the displacement of the relationship difference, and then use the shifted first temperature difference relationship as the target temperature difference relationship.
[0184] Reference Figure 16 As shown, Figure 16 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S1610, S1620, S1630 and S1640.
[0185] Step S1610: Obtain multiple ambient universal temperatures, and the corresponding ambient tympanic membrane universal temperature and oral cavity universal temperature under these multiple ambient universal temperatures;
[0186] Specifically, the above universal parameters require multiple users to perform multiple measurements of tympanic membrane temperature and oral cavity temperature under different ambient temperatures within the same preset ambient temperature range in the same area. Furthermore, users need to maintain a constant state under the same ambient temperature for a period of time, and temperature measurement is only performed when the preset time measurement threshold is exceeded.
[0187] Furthermore, the aforementioned preset ambient temperature range can be 5°C to 30°C, 10°C to 35°C, 5°C to 35°C, or 8°C to 37°C; this application does not impose any specific limitations.
[0188] Furthermore, the aforementioned preset time measurement threshold can be 10 minutes, 15 minutes, 30 minutes, or 1 hour; this application does not impose any specific limitation.
[0189] Step S1620: Based on the ambient temperature, calculate the difference between the ambient temperature and the oral cavity temperature under each ambient temperature to obtain the first ambient temperature difference between the tympanic membrane and the oral cavity under multiple ambient temperatures.
[0190] It should be noted that the first universal temperature difference between the tympanic membrane and the oral cavity under multiple environmental universal temperatures is the first universal temperature difference between the tympanic membrane and the oral cavity under multiple environmental universal temperatures for multiple users.
[0191] Step S1630: Perform dimensionality reduction on the first universal temperature difference under different environmental universal temperatures to obtain the second universal temperature difference under different environmental universal temperatures.
[0192] It should be noted that since the first universal temperature difference includes the first universal temperature difference of multiple users, there are multiple temperature difference relationship curves for individual users. It is necessary to reduce the first universal temperature difference from two-dimensional parameters to one-dimensional parameters to obtain the corresponding universal temperature difference relationship curve. The dimensionality reduction method can be to take the average value of the temperature difference between the tympanic membrane and oral cavity of multiple users under the same ambient temperature, or to take the median value of the temperature difference between the tympanic membrane and oral cavity of multiple users under the same ambient temperature, so that each ambient temperature on the X-axis of the coordinate axis has only one corresponding universal temperature difference between the tympanic membrane and oral cavity.
[0193] Step S1640: Based on multiple universal environmental temperatures and their corresponding second universal temperature differences, determine the universal temperature difference relationship between the tympanic membrane and the oral cavity under different universal environmental temperatures and use it as the first temperature difference relationship.
[0194] It should be noted that the universal temperature difference relationship curve can be a quadratic equation curve, a cubic equation curve, or even an Nth degree equation curve.
[0195] The blood glucose measurement method of this application will be further described in detail below with another example.
[0196] Multiple volunteers were gathered in the same room equipped with an air conditioning system. The air conditioning system controlled the blood glucose monitoring temperature within the range of 5℃ to 30℃. Multiple indoor ambient temperatures were set at 5℃, 10℃, 15℃, 20℃, 25℃, and 30℃. Each volunteer was then kept at each temperature test point for at least 15 minutes. The universal oral temperature and universal tympanic membrane temperature of each volunteer were measured at the above ambient temperatures. The universal difference between the two was calculated and the average value was taken. Based on the average value of the universal difference between oral temperature and tympanic membrane temperature and the corresponding ambient temperature, a relationship curve equation was constructed to obtain the relationship between the universal temperature difference between the tympanic membrane and the oral cavity. Figure 17 This is a graph showing the universal relationship between the ambient temperature and the difference between the tympanic membrane temperature and the oral cavity temperature of multiple volunteers provided in some embodiments of this application. The universal relationship curve between oral cavity temperature and tympanic membrane temperature is as follows:
[0197] (3)DT=-0.0008Th2+0.05Th+0.225;
[0198] Where DT represents the temperature difference between the tympanic membrane and the oral cavity, and Th represents the ambient temperature.
[0199] The blood glucose measurement method of this application will be further described in detail below with another example.
[0200] Volunteer B obtained the difference between tympanic membrane calibration temperature and oral cavity calibration temperature at 11 different ambient temperatures during the calibration process before blood glucose monitoring. Three times with significant ambient temperature differences were selected: 6:30 AM before breakfast (ambient temperature 13.3℃), 11:50 AM before lunch (ambient temperature 16.6℃), and 3:25 PM 2 hours after lunch (ambient temperature 23.2℃). The differences between the three sets of tympanic membrane calibration temperature and oral cavity calibration temperature were 0.611℃, 0.670℃, and 0.753℃, respectively. Figure 18 As shown, Figure 18 This is a comparison graph showing the equations of the relationship curves between the ambient temperature and the differences between the tympanic membrane temperature and the oral cavity temperature of volunteer B provided in some embodiments of this application, and the equation of the relationship curve between the ambient temperature and the differences between the tympanic membrane temperature and the oral cavity temperature of volunteer B:
[0201] (4) DT = -0.0007T h 2 +0.0385T h +0.2212;
[0202] Where DT represents the temperature difference between the tympanic membrane and oral cavity of volunteer B, and T... h Represents ambient temperature.
[0203] Comparing equations (3) and (4) above, it can be seen that the coefficients of the relationship curve of volunteer B are not significantly different from the average coefficients of the universal relationship curve, indicating that the difference between the tympanic membrane temperature and oral cavity temperature obtained by volunteer B during the calibration process is reasonable. Through mathematical simulation, the relationship can be extended to lower or higher ambient temperatures, such as as low as 5℃ or as high as 30℃, which can be used as a difference equation suitable for volunteer B.
[0204] The blood glucose measurement method of this application will be further described in detail below with another example.
[0205] The ambient temperature for volunteer C during the calibration process was concentrated around 25℃, with an average of 25.2℃. The tympanic membrane temperature and oral temperature of volunteer C were measured over 25 hours before breakfast, lunch, dinner, and after dinner. Figure 19 As shown, Figure 19This is a comparison graph of the equations for the relationship curves between the ambient temperature and the difference between the tympanic membrane temperature and the oral cavity temperature of volunteer C provided in some embodiments of this application, and a universal relationship curve. It can be seen that the average difference between the tympanic membrane temperature and the oral cavity temperature of volunteer C at an ambient temperature of 25.2℃ is 0.651℃, which is 0.1092℃ lower than the average difference of 0.7502℃ at the same ambient temperature on the universal relationship curve. The universal curve needs to be shifted downwards by 0.1092℃ to obtain a difference curve suitable for volunteer C. The equation for the relationship curve between the ambient temperature and the difference between the tympanic membrane temperature and the oral cavity temperature of volunteer C is as follows:
[0206] (5) DT = -0.008T h 2 +0.051T h +0.1158;
[0207] Where DT represents the temperature difference between the tympanic membrane and oral cavity of volunteer C, and T... h Represents ambient temperature.
[0208] Reference Figure 20 As shown, Figure 20 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S2010, S2020, S2030 and S2040.
[0209] Step S2010: Obtain the calibrated blood glucose value and oral calibrated temperature before the time of oral temperature measurement. The calibrated blood glucose value is calibrated in an invasive manner.
[0210] Specifically, the calibration process requires measuring blood glucose levels over a 24-hour period. The measurement points are: before breakfast, 1 hour after breakfast, 2 hours after breakfast, before lunch, 1 hour after lunch, 2 hours after lunch, before dinner, 1 hour after dinner, 2 hours after dinner, before bedtime, and when you wake up at midnight, for a total of 11 blood glucose measurements.
[0211] Furthermore, the blood glucose level can be calibrated in an invasive manner, such as by fingertip blood collection, by arm vein blood collection, or by back of hand vein blood collection; this application does not impose any limitations on this method.
[0212] Step S2020: Obtain the target oral temperature increment based on the target oral temperature and the oral calibration temperature;
[0213] It should be noted that the oral calibration temperature is the oral calibration temperature measured at the time when the target tympanic membrane is measured, relative to the closest of the aforementioned calibration times. The difference between the target oral temperature and the oral calibration temperature is calculated to obtain the target oral temperature increment.
[0214] Step S2030: Based on the relationship between oral temperature increment and blood glucose increment, perform a relationship conversion on the target oral temperature increment to obtain the target blood glucose increment;
[0215] It should be noted that in the fitting curve of the relationship between oral temperature increment and blood glucose increment, the X-axis represents the oral temperature increment and the Y-axis represents the blood glucose increment. This curve can be a linear equation curve, a quadratic equation curve, or an Nth degree equation curve. This application does not make any specific limitation.
[0216] To elaborate further, the target blood glucose increment can be positive, negative, or zero.
[0217] Step S2040: Obtain the target blood glucose value based on the calibrated blood glucose value and the target blood glucose increment.
[0218] It should also be noted that the calibrated blood glucose value is the calibrated blood glucose value measured at the time closest to the target tympanic membrane measurement time among the aforementioned calibration times. The calibrated blood glucose value and the target blood glucose increment are added together to obtain the target blood glucose value.
[0219] Reference Figure 21 As shown, Figure 21 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S2110, S2120, S2130, S2140 and S2150.
[0220] Step S2110: Obtain multiple oral calibration temperatures and multiple calibration blood glucose values;
[0221] Specifically, the multiple oral temperature calibrations and multiple blood glucose calibrations were oral temperatures and invasive blood glucose values obtained at the above 11 time points.
[0222] Step S2120: Based on multiple oral calibration temperatures, calculate the difference between oral calibration temperatures at adjacent times to obtain multiple oral calibration temperature increments;
[0223] Specifically, when the oral calibration temperature is the oral temperature obtained at the above 11 times, 10 oral calibration temperature increments are obtained by calculating the difference between the oral calibration temperatures at adjacent times.
[0224] Step S2130: Based on multiple calibrated blood glucose values, calculate the difference between calibrated blood glucose values at adjacent times to obtain multiple calibrated blood glucose value increments;
[0225] Specifically, when the calibrated blood glucose value is the invasive blood glucose value obtained at the above 11 time points, the difference between the calibrated blood glucose values at adjacent time points will yield 10 calibrated blood glucose value increments.
[0226] Step S2140: Determine the relationship between oral temperature increment and blood glucose increment based on multiple oral temperature increments and corresponding blood glucose increments;
[0227] It should be noted that in the fitting curve of the relationship between oral temperature increment and blood glucose increment, the X-axis represents the oral temperature increment and the Y-axis represents the blood glucose increment. This curve can be a linear equation curve, a quadratic equation curve, or an Nth degree equation curve. This application does not make any specific limitation.
[0228] Step S2150: Based on the relationship between oral temperature increment and blood glucose increment, perform a relationship conversion on the target oral temperature increment to obtain the target blood glucose increment.
[0229] It should be noted that the target oral temperature is used as the Y value corresponding to the X-axis of the fitted curve as the target blood glucose increment.
[0230] The blood glucose measurement method of this application will be further described in detail below with another example.
[0231] Volunteer D performed continuous glucose monitoring after the method calibration in the above embodiments was completed, such as... Figure 22 As shown, Figure 22 The figure shows the dynamic curve of tympanic membrane temperature of volunteer D over 25 hours according to some embodiments of this application. It can be seen that the curve has three peaks, which correspond to the increase in tympanic membrane temperature caused by the increase in metabolic heat due to the increase in blood sugar after three meals (meal times are 6:53, 12:55 and 18:50 respectively). This reflects the positive correlation between tympanic membrane temperature and blood sugar, that is, the tympanic membrane temperature will also increase when blood sugar increases.
[0232] Reference Figure 23 As shown, Figure 23 This is a flowchart of a blood glucose measurement method provided in other embodiments of this application. The blood glucose measurement method may include, but is not limited to, steps S2310, S2320, S2330 and S2340.
[0233] Step S2310: Obtain the tympanic membrane calibration temperature and calibration blood glucose value before the time of measuring the target tympanic membrane temperature. The calibration blood glucose value is calibrated in an invasive manner.
[0234] It should be noted that the tympanic membrane calibration temperature and calibrated blood glucose values are the most recent tympanic membrane temperature and blood glucose values measured before the time of measuring the target tympanic membrane temperature.
[0235] Step S2320: Obtain the target tympanic membrane temperature increment based on the target tympanic membrane temperature and the tympanic membrane calibration temperature;
[0236] It should be noted that the difference between the target tympanic membrane temperature and the calibrated tympanic membrane temperature is calculated to obtain the increment of the target tympanic membrane temperature.
[0237] Step S2330: Based on the relationship between the tympanic membrane temperature increment and the blood glucose increment, perform a relationship conversion on the target tympanic membrane temperature increment to obtain the target blood glucose increment;
[0238] It should be noted that in the fitting curve of the relationship between the increase in tympanic membrane temperature and the increase in blood glucose, the X-axis represents the increase in tympanic membrane temperature and the Y-axis represents the increase in blood glucose. This curve can be a linear equation curve, a quadratic equation curve, or an Nth degree equation curve. This application does not make any specific limitation.
[0239] Furthermore, the target oral temperature is used as the Y value corresponding to the X-axis on the fitted curve as the target blood glucose increment.
[0240] Step S2340: Obtain the target blood glucose value based on the calibrated blood glucose value and the target blood glucose increment.
[0241] It should be noted that the target blood glucose value is obtained by adding the calibrated blood glucose value and the target blood glucose increment.
[0242] Reference Figure 24 As shown, Figure 24 This is a structural framework diagram of a blood glucose measurement system provided in some embodiments of this application. The blood glucose measurement system includes:
[0243] Tympanic membrane temperature measuring device 200 is used to acquire tympanic membrane temperature and ambient temperature;
[0244] Blood glucose prediction device 300 is used to predict blood glucose values based on tympanic membrane temperature and ambient temperature.
[0245] Wherein, the tympanic membrane temperature measuring device 200 is the tympanic membrane temperature measuring device 200 of the above embodiment;
[0246] The prediction method of the blood glucose prediction device is the blood glucose measurement method of the above embodiment;
[0247] The tympanic membrane temperature measuring device 200 and the blood glucose prediction device 300 transmit data through the wireless transmission component of the tympanic membrane temperature measuring device.
[0248] Reference Figure 24 As shown, the blood glucose prediction device also includes:
[0249] Terminal 510 is used to acquire blood glucose and oral temperature calibration values and send the oral temperature and blood glucose values to the server.
[0250] The server 530 is used to receive tympanic membrane temperature, ambient temperature, oral temperature and blood glucose level, predict the target blood glucose level based on the tympanic membrane temperature, ambient temperature, oral temperature and blood glucose level, and then send the target blood glucose level to the terminal.
[0251] Reference Figure 25 As shown, Figure 25 This is a flowchart of a temperature curve relationship calibration method provided in some embodiments of this application. The temperature curve relationship calibration method is applied to terminal 510 and may include, but is not limited to, steps S2510, S2520, S2530 and S2540.
[0252] Step S2510: Call the calibration program;
[0253] Step S2520: Obtain the calibrated blood glucose value and oral calibrated temperature input by the user;
[0254] Specifically, when the calibrated blood glucose value and oral calibrated temperature input by the user are obtained, a request to obtain the current time is sent to the server 530, and the calibrated blood glucose value and oral calibrated temperature are cached in JSON format.
[0255] Step S2530: In response to the tympanic membrane temperature measurement device 200 acquiring the tympanic membrane calibration temperature and environmental calibration temperature within a preset time period, the calibrated blood glucose value, oral cavity calibration temperature, tympanic membrane calibration temperature and environmental calibration temperature are sent to the server 530.
[0256] Specifically, in response to the tympanic membrane temperature measuring device 200 acquiring the tympanic membrane calibration temperature and the ambient calibration temperature within a preset time period, a request to obtain the current time is sent to the server 530. In response to the current timestamp returned by the server 530, the current timestamp is converted into a time format of "yyyy-MM-dd HH:mm:ss". Then, the calibrated blood glucose value and oral calibration temperature are obtained from the cache. The calibrated blood glucose value, oral calibration temperature, tympanic membrane calibration temperature, ambient calibration temperature and the current time are then concatenated into a request with query or parmas parameters. Finally, an Ajax or Fetch request is sent to the server 530 in JSON or XML format.
[0257] The network protocol used for data transmission can be either the HTTP request protocol or the HTTPS request protocol.
[0258] Step S2540: In response to the information that the temperature curve calibration relationship has been successfully established on the server 530, display the calibration completion status and send the information to the tympanic membrane temperature measuring device 200 to enter the monitoring state.
[0259] Specifically, in response to the successful establishment of the temperature curve calibration relationship on the server, the terminal application App on the terminal 510 pops up a message indicating successful establishment and sends a message to the tympanic membrane temperature measuring device 200 indicating that it has entered the monitoring state.
[0260] Reference Figure 26 As shown, Figure 26 This is a flowchart of a blood glucose measurement method provided in some embodiments of this application. The blood glucose measurement method is applied to terminal 510 and may include, but is not limited to, steps S2610, S2620 and S2630.
[0261] Step S2610: Call the detection program;
[0262] Step S2620: In response to the information that the tympanic membrane temperature measuring device 200 measures the target tympanic membrane temperature within a preset time period, the information is sent to the server 530.
[0263] Specifically, in response to the target tympanic membrane temperature obtained by the aforementioned tympanic membrane temperature measuring device 200 within a preset time period, a request to obtain the current time is sent to the server 530. In response to the current timestamp returned by the server 530, the current timestamp is converted into a time format of "yyyy-MM-dd HH:mm:ss". Then, the target tympanic membrane temperature and the current time are concatenated into a request with query or parmas parameters. Finally, an Ajax or Fetch request is sent to the server 530 in JSON or XML format.
[0264] Step S2630: In response to the target blood glucose value returned by the server 530, store the target blood glucose value and generate a blood glucose change trend curve.
[0265] Specifically, in response to the target blood glucose value returned by the server 530, the terminal 510 will store the target blood glucose value in the cache in JSON format and generate the latest blood glucose change trend curve on the terminal application App.
[0266] Reference Figure 27 As shown, Figure 27 This is a flowchart of a blood glucose measurement method provided in some other embodiments of this application. The blood glucose measurement method is applied to terminal 510 and may include, but is not limited to, steps S2710 and S2720.
[0267] Step S2710: In response to the message that the tympanic membrane temperature measuring device 200 has successfully sent the target tympanic membrane temperature to the server 530 within a preset time, a request to obtain the target blood glucose value is sent to the server 530.
[0268] Step S2720: Alternatively, in response to the target tympanic membrane temperature collected by the tympanic membrane temperature measuring device within a preset time period, send a request to the server to obtain the target tympanic membrane temperature and continuously acquire the target blood glucose value.
[0269] Specifically, a request to continuously obtain the target blood glucose value is sent to the server 530. This request can be sent continuously by polling with a timer, by using a long HTTP 1.1 connection, or by using WebSocket.
[0270] Reference Figure 28 As shown, Figure 28 This is a flowchart of a blood glucose measurement method provided in some embodiments of this application. The blood glucose measurement method is applied to terminal 510 and may include, but is not limited to, steps S2810, S2820 and S2830.
[0271] Step S2810: Obtain the blood glucose monitoring duration and determine whether the blood glucose monitoring duration exceeds the preset monitoring time threshold;
[0272] Step S2820: If the blood glucose monitoring duration does not exceed the preset monitoring time threshold, store the target blood glucose value and update the blood glucose change trend curve;
[0273] Step S2830: If the blood glucose monitoring time exceeds the preset monitoring time threshold, clear the earliest blood glucose value from the current detection time and store the target blood glucose value, and update the blood glucose change trend curve.
[0274] It should also be noted that blood glucose measurement using the methods provided in some embodiments of this application may be affected by the following factors:
[0275] 1. Environmental conditions
[0276] Environmental conditions affect body temperature to varying degrees. They have a smaller impact on oral temperature but a larger impact on ear canal temperature. When the ambient temperature exceeds 30°C, the skin in the ear canal will sweat, and the evaporation of sweat can interfere with temperature measurement. Conversely, if the ambient temperature is too low, subcutaneous blood flow in the ear canal is significantly reduced, and the low skin temperature will cause heat conduction from the probe 211 to the skin, thus affecting the temperature distribution in the hollow cavity 212. Therefore, it is necessary to limit the applicable ambient temperature range of the tympanic membrane temperature measuring device 200, for example, from 5°C to 30°C. On the other hand, excessive ambient humidity or water in the ear canal can also affect the accuracy of temperature measurement due to evaporative cooling; therefore, the relative humidity range should generally not exceed 80%.
[0277] 2. Human activity
[0278] Work, study, physical labor, and exercise all consume blood sugar and generate heat, leading to an increase in body temperature. Taking a hot bath temporarily raises skin temperature, while a cold bath temporarily lowers it. Drinking hot tea or cold beverages temporarily raises or lowers oral temperature. To minimize interference from these activities, appropriate restrictions are necessary. For example: blood glucose levels should not be measured or monitored during and for 30 minutes after strenuous exercise; during and for 45 minutes after showering or bathing; and during and for 5 minutes after drinking hot or cold beverages, etc.
[0279] 3. Physiological factors
[0280] The body temperature of women of reproductive age differs significantly between the luteal phase and the follicular phase, and should be treated differently.
[0281] 4. Psychological factors
[0282] Due to the influence of the sympathetic and parasympathetic nervous systems, a patient's psychological state can significantly affect skin temperature. For example, finger temperature can drop by more than 5°C when watching an intense sports game. However, the effect on eardrum temperature is relatively small, and it has almost no effect on oral temperature.
[0283] 5. Pathological factors
[0284] Pathological factors such as colds, inflammation, and cancer can cause the set point of the body's temperature regulation center to shift upwards, leading to an increase in tympanic membrane temperature and oral temperature. Therefore, it is stipulated that blood glucose measurements are not suitable when a person has a fever; blood glucose measurements can only be resumed after the body temperature has returned to normal.
[0285] 6. User's clothing
[0286] A user's clothing can affect their body temperature to some extent. Wearing a cotton-padded coat in summer or short sleeves in winter are both abnormal attire. Users need to change their clothing according to changes in the ambient temperature. For example, if the indoor temperature is 28℃, wearing a single layer of clothing and shorts is acceptable, but when the indoor temperature drops to 15℃ after turning on the air conditioner, one should change into a long-sleeved shirt and trousers. It is not advisable to keep the same clothing indefinitely.
[0287] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent will be obtained first. Furthermore, the collection, use, and processing of this data will comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user will be obtained through pop-ups or redirects to confirmation pages. Only after obtaining the user's separate permission or consent will the necessary user-related data for the normal operation of the embodiments of this application be obtained.
[0288] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described blood glucose measurement method and temperature curve relationship calibration method. This electronic device can be any smart terminal, including mobile phones, tablets, and in-vehicle computers.
[0289] Please see Figure 29 , Figure 29 This illustration shows the hardware structure of an electronic device provided in some embodiments. The electronic device includes:
[0290] The processor 2901 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the tympanic membrane temperature measurement method, blood glucose measurement method, and temperature curve relationship calibration method provided in the embodiments of this application.
[0291] The memory 2902 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 2902 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 2902 and is called and executed by the processor 2901 to perform the tympanic membrane temperature measurement method, blood glucose measurement method, and temperature curve relationship calibration method provided in the embodiments of this application.
[0292] The input / output interface 2903 is used to implement information input and output;
[0293] The communication interface 2905 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).
[0294] Bus 2905 transmits information between various components of the device (e.g., processor 2901, memory 2902, input / output interface 2903, and communication interface 2905);
[0295] The processor 2901, memory 2902, input / output interface 2903 and communication interface 2905 are connected to each other within the device via bus 2905.
[0296] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, provides the tympanic membrane temperature measurement method, blood glucose measurement method, and temperature curve relationship calibration method provided in this application.
[0297] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
[0298] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.
[0299] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.
[0300] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.
[0301] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.
[0302] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0303] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.
[0304] In the embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.
[0305] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0306] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0307] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0308] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.
Claims
1. A method for measuring blood glucose, characterized in that, An application is made to a tympanic membrane temperature measurement device, which includes a temperature measuring body, a temperature measuring module, a processor, and an ambient temperature and humidity sensor. The temperature measuring body includes a probe for insertion into the ear canal, and the probe includes a hollow cavity connecting the ear canal to the external environment. The temperature measuring module includes multiple temperature sensors suspended within the hollow cavity, arranged at intervals along the ear canal direction, and used to measure the ear canal temperature parameters. The processor is located within the temperature measuring body and connected to the multiple temperature sensors. The processor calculates a target temperature based on the ear canal temperature parameters measured by the temperature sensors at different distances from the tympanic membrane. The blood glucose measurement method includes: Obtain the distance values between each temperature sensor in the temperature measurement module and the tympanic membrane; The ear canal temperature parameters measured by the temperature sensor at different distance values are obtained; Based on the ear canal temperature parameters corresponding to different distance values, a prediction model for the relationship between ear canal temperature and tympanic membrane distance is determined. Based on the relationship prediction model, the temperature at a position with a distance of zero from the tympanic membrane is predicted to obtain the target tympanic membrane temperature. The target ambient temperature is obtained through the ambient temperature and humidity sensor. Obtain multiple environmental calibration temperatures, and their corresponding tympanic membrane calibration temperature and oral cavity calibration temperature; Based on the environmental calibration temperature, the difference between the tympanic membrane calibration temperature and the oral cavity calibration temperature at each of the environmental calibration temperatures is calculated to obtain the temperature difference between the tympanic membrane and the oral cavity at multiple environmental calibration temperatures; The universal temperature difference relationship between the tympanic membrane and the oral cavity is obtained as the first temperature difference relationship. The first temperature difference relationship is a temperature difference relationship fitted by collecting the average temperature difference between the tympanic membrane and the oral cavity of the general public under different ambient temperatures. Based on multiple environmental calibration temperatures and corresponding temperature differences, the temperature difference relationship between the tympanic membrane and the oral cavity under different environmental temperatures is determined as a second temperature difference relationship. The second temperature difference relationship is the temperature difference relationship between the tympanic membrane and the oral cavity under different environmental temperatures that the user fits by the environmental calibration temperature, the tympanic membrane calibration temperature and the oral cavity calibration temperature. Under the same ambient temperature, the difference between the first temperature difference relationship and the second temperature difference relationship is compared with a preset threshold to obtain the target temperature difference relationship; Based on the target temperature difference relationship, the target ambient temperature is converted to obtain the temperature difference between the tympanic membrane and the oral cavity at the target ambient temperature; Based on the temperature difference, the target tympanic membrane temperature is converted to obtain the target oral cavity temperature; Based on the relationship between oral temperature and blood glucose, the target oral temperature is converted to a corresponding blood glucose value to obtain the target blood glucose value.
2. The blood glucose measurement method according to claim 1, characterized in that, The temperature sensor is a negative temperature coefficient resistance thermometer or a thermocouple.
3. The blood glucose measurement method according to claim 1 or 2, characterized in that, The accuracy of the temperature sensor is not less than 0.02℃.
4. The blood glucose measurement method according to claim 1, characterized in that, The temperature measurement module contains more than three temperature sensors, and the spacing between adjacent temperature sensors in the temperature measurement module is equal.
5. The blood glucose measurement method according to claim 1, characterized in that, The temperature sensor is suspended and fixed inside the hollow cavity by a support structure, and the temperature sensor is located at the central axis of the hollow cavity.
6. The blood glucose measurement method according to claim 1 or 4, characterized in that, The length of the hollow cavity is not less than 10mm, and the diameter of the narrowest part of the hollow cavity is not less than 2mm.
7. The blood glucose measurement method according to claim 1, characterized in that, The ambient temperature and humidity sensor is located at the non-ear end of the temperature measuring body. The ambient temperature and humidity sensor is used to measure the air temperature and humidity parameters of the external environment. The ambient temperature and humidity sensor is connected to the processor.
8. The blood glucose measurement method according to claim 7, characterized in that, When the ambient temperature and humidity sensor detects that the humidity is greater than the first preset humidity threshold, it sends a stop working signal to the processor. or, When the ambient temperature and humidity sensor detects a temperature greater than a first preset temperature threshold or less than a second preset temperature threshold, it sends a stop signal to the processor.
9. The blood glucose measurement method according to claim 1, characterized in that, The tympanic membrane temperature measuring device also includes: A support component is disposed at the non-ear end of the temperature measuring body, and the support component is used to fit against the outer ear of the human body.
10. The blood glucose measurement method according to claim 1, characterized in that, The tympanic membrane temperature measuring device also includes: A distance sensor is disposed at the in-ear end of the temperature measuring body. The distance sensor is used to measure the distance between the probe and the eardrum. The distance sensor is connected to the processor.
11. The blood glucose measurement method according to claim 10, characterized in that, The tympanic membrane temperature measuring device also includes: A wireless transmission component, the wireless transmission component being used to transmit data with the processor or an external processor, the wireless transmission component being connected to the processor; A power supply, used to store electrical energy, is connected to and transmits electrical energy to the processor, the temperature measurement module, the ranging sensor, and the wireless transmission component. A charging component, wherein the charging component is used to transmit electrical energy to the power source, and the charging component is connected to the power source; A proximity switch is used to sense user operations to control the operation of the power supply, and the proximity switch is connected to the power supply.
12. The blood glucose measurement method according to claim 10, characterized in that, The step of obtaining the distance values between each temperature sensor in the temperature measurement module and the tympanic membrane includes: The distance from the temperature sensor closest to the tympanic membrane is measured by the distance measuring sensor to obtain a first distance value; Based on the first distance value and the preset spacing between two adjacent temperature sensors, the distance value between each temperature sensor and the tympanic membrane is determined.
13. The blood glucose measurement method according to claim 1, characterized in that, The step of predicting the temperature at a location zero distance from the tympanic membrane based on the relationship prediction model to obtain the target tympanic membrane temperature includes: Based on the relationship prediction model, the curve equation of the relationship prediction model is differentiated to obtain the relationship derivative equation; Based on the relational derivative equation, the extreme points of the relational derivative equation are evaluated to obtain the extreme values of the target equation; Based on the extreme value of the target equation and the curve equation, the position at which the distance from the tympanic membrane is zero is fitted to obtain the target tympanic membrane temperature.
14. The blood glucose measurement method according to claim 1, characterized in that, The step of comparing the difference between the first temperature difference relationship and the second temperature difference relationship with a preset threshold under the same ambient temperature to obtain the target temperature difference relationship includes: If the absolute value of the relationship difference is less than a preset threshold, then the second temperature difference relationship is taken as the target temperature difference relationship; or, If the absolute value of the relationship difference is greater than or equal to a preset threshold, the relationship curve of the first temperature difference relationship is shifted up and down in the corresponding direction according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship.
15. The blood glucose measurement method according to claim 14, characterized in that, If the absolute value of the relationship difference is greater than or equal to a preset threshold, then the relationship curve of the first temperature difference relationship is shifted vertically in the corresponding direction according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship, including: When the relationship difference is positive, the relationship curve of the first temperature difference relationship is shifted downward according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship. or, When the relationship difference is negative, the relationship curve of the first temperature difference relationship is shifted upward according to the relationship difference, and the first temperature difference relationship after the relationship curve is shifted is taken as the target temperature difference relationship.
16. The blood glucose measurement method according to claim 1, characterized in that, The acquisition of the universal temperature difference relationship between the tympanic membrane and the oral cavity as the first temperature difference relationship includes: Obtain multiple environmental universal temperatures, and the corresponding tympanic membrane universal temperature and oral cavity universal temperature under these multiple environmental universal temperatures; Based on the ambient temperature, the difference between the ambient temperature and the oral cavity temperature under each ambient temperature is calculated to obtain the first ambient temperature difference between the tympanic membrane and the oral cavity under multiple ambient temperatures. The first universal temperature difference under different universal environmental temperatures is reduced in dimensionality to obtain the second universal temperature difference under different universal environmental temperatures. Based on multiple universal environmental temperatures and their corresponding second universal temperature differences, the universal temperature difference relationship between the tympanic membrane and the oral cavity under different universal environmental temperatures is determined and used as the first temperature difference relationship.
17. The blood glucose measurement method according to claim 1, characterized in that, The step of converting the target oral temperature to a corresponding blood glucose value based on the relationship between oral temperature and blood glucose to obtain the target blood glucose value includes: Acquire calibrated blood glucose and oral calibrated temperature prior to the time of oral temperature measurement, wherein the calibrated blood glucose is calibrated invasively; The target oral temperature increment is obtained based on the target oral temperature and the oral temperature calibration. Based on the relationship between oral temperature increment and blood glucose increment, the target oral temperature increment is converted to obtain the target blood glucose increment. The target blood glucose value is obtained based on the calibrated blood glucose value and the target blood glucose increment.
18. The blood glucose measurement method according to claim 17, characterized in that, The step of converting the target oral temperature increment to the target blood glucose increment based on the relationship between oral temperature increment and blood glucose increment includes: Obtain multiple oral calibrated temperatures and multiple calibrated blood glucose values; Based on the multiple oral calibration temperatures, the differences between the oral calibration temperatures at adjacent times are calculated sequentially to obtain multiple oral calibration temperature increments; Based on multiple calibrated blood glucose values, the differences between the calibrated blood glucose values at adjacent time points are calculated sequentially to obtain multiple calibrated blood glucose value increments; The relationship between oral temperature increment and blood glucose increment is determined based on multiple oral temperature increments and corresponding blood glucose increments. Based on the relationship between oral temperature increment and blood glucose increment, the target oral temperature increment is converted to obtain the target blood glucose increment.
19. A blood glucose measurement system, characterized in that, include: Tympanic membrane temperature measuring device, used to obtain tympanic membrane temperature and ambient temperature; A blood glucose prediction device for predicting blood glucose values based on the tympanic membrane temperature and the ambient temperature; The tympanic membrane temperature measuring device includes a temperature measuring body, a temperature measuring module, a processor, and an ambient temperature and humidity sensor. The temperature measuring body includes a probe for insertion into the ear canal, and the probe includes a hollow cavity connecting the ear canal to the external environment. The temperature measuring module includes multiple temperature sensors suspended within the hollow cavity, arranged at intervals along the ear canal direction. These temperature sensors measure the ear canal temperature to obtain ear canal temperature parameters. The processor is located within the temperature measuring body and connected to the multiple temperature sensors. The processor calculates a target temperature based on the ear canal temperature parameters measured by the temperature sensors at different distances from the tympanic membrane. The tympanic membrane temperature measuring device and the blood glucose prediction device transmit data via a wireless transmission component. The prediction method of the blood glucose prediction device includes the following steps: Obtain the distance values between each temperature sensor in the temperature measurement module and the tympanic membrane; The ear canal temperature parameters measured by the temperature sensor at different distance values are obtained; Based on the ear canal temperature parameters corresponding to different distance values, a prediction model for the relationship between ear canal temperature and tympanic membrane distance is determined. Based on the relationship prediction model, the temperature at a position with a distance of zero from the tympanic membrane is predicted to obtain the target tympanic membrane temperature. The target ambient temperature is obtained through the ambient temperature and humidity sensor. Obtain multiple environmental calibration temperatures, and their corresponding tympanic membrane calibration temperature and oral cavity calibration temperature; Based on the environmental calibration temperature, the difference between the tympanic membrane calibration temperature and the oral cavity calibration temperature at each of the environmental calibration temperatures is calculated to obtain the temperature difference between the tympanic membrane and the oral cavity at multiple environmental calibration temperatures; The universal temperature difference relationship between the tympanic membrane and the oral cavity is obtained as the first temperature difference relationship. The first temperature difference relationship is a temperature difference relationship fitted by collecting the average temperature difference between the tympanic membrane and the oral cavity of the general public under different ambient temperatures. Based on multiple environmental calibration temperatures and corresponding temperature differences, the temperature difference relationship between the tympanic membrane and the oral cavity under different environmental temperatures is determined as a second temperature difference relationship. The second temperature difference relationship is the temperature difference relationship between the tympanic membrane and the oral cavity under different environmental temperatures that the user fits by the environmental calibration temperature, the tympanic membrane calibration temperature and the oral cavity calibration temperature. Under the same ambient temperature, the difference between the first temperature difference relationship and the second temperature difference relationship is compared with a preset threshold to obtain the target temperature difference relationship; Based on the target temperature difference relationship, the target ambient temperature is converted to obtain the temperature difference between the tympanic membrane and the oral cavity at the target ambient temperature; Based on the temperature difference, the target tympanic membrane temperature is converted to obtain the target oral cavity temperature; Based on the relationship between oral temperature and blood glucose, the target oral temperature is converted to a corresponding blood glucose value to obtain the target blood glucose value.
20. The blood glucose measurement system according to claim 19, characterized in that, The blood glucose prediction device includes: The terminal is used to acquire blood glucose levels and oral calibrated temperature, and send the oral temperature and blood glucose levels to the server. The server receives the tympanic membrane temperature, the ambient temperature, the oral cavity temperature, and the blood glucose level, predicts a target blood glucose level based on the tympanic membrane temperature, the ambient temperature, the oral cavity temperature, and the blood glucose level, and then sends the target blood glucose level to the terminal.
21. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; The blood glucose measurement method as described in any one of claims 1 to 18 is implemented when at least one of the programs is executed by at least one of the processors.
22. A computer-readable storage medium, characterized in that: It contains a processor-executable program, which, when executed by a processor, is used to implement the blood glucose measurement method as described in any one of claims 1 to 18.
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