A method and system for obtaining equivalent core body temperature suitable for wearable devices

Abstract

The present invention discloses a method and system for acquiring equivalent core body temperature suitable for wearable devices, the method comprising the following steps: using a preset data acquisition device to acquire the ambient temperature and the wrist temperature and axillary temperature of the user; based on sufficient user data analysis and summarizing the correlation between the ambient temperature, wrist temperature and axillary temperature, establishing an equivalent core body temperature algorithm model; using the equivalent core body temperature algorithm model to calculate the equivalent core body temperature of the corresponding user. Beneficial effects: The present invention not only solves the accuracy deviation problem of the non-contact infrared thermopile method, but also solves the problem of long measurement preparation time of contact mercury or electronic thermometers, providing a highly economical option for rapid, efficient and imperceptible abnormal body temperature screening during pandemics, but also can provide early warnings for colds and fevers, and provide continuous and accurate medical references for physiological cycles, basal body temperatures during pregnancy, etc.

Description

Technical Field

[0001] The present invention relates to the field of temperature measurement technology, and in particular to a method and system for obtaining equivalent core body temperature suitable for wearable devices. Background Art

[0002] At present, the detection of human core body temperature usually uses contact-type tongue temperature, axillary temperature, rectal temperature measurement or non-contact forehead temperature, ear temperature measurement and other methods. The former requires a long measurement time to wait for the thermometer and the human body to reach a conductive thermal equilibrium state, and the latter is mostly based on infrared thermopile technology. Its measurement accuracy is especially not suitable for the situation where the subject enters a low-temperature environment from a high-temperature environment, or vice versa. In addition, the above two detection methods require the cooperation of the subject, and cannot achieve continuous, non-invasive detection.

[0003] According to relevant papers and other literature, Fig.11 The figure shows the deviation comparison between the actual axillary temperature and the forehead temperature and wrist temperature (Neiguan temperature). The wrist temperature is 2.6°C lower than the axillary temperature on average, but this can be solved by a reasonable compensation algorithm. The coefficient of variation of the deviation between the wrist temperature and the actual axillary temperature is 0.35, which is smaller than the coefficient of variation of the deviation between the forehead temperature and the actual axillary temperature of 0.50. It has greater application value in actual clinical applications. Therefore, the present invention provides an equivalent core body temperature acquisition method and system suitable for wearable devices. Summary of the invention

[0004] In response to the problems in the related art, the present invention proposes an equivalent core body temperature acquisition method and system suitable for wearable devices. The wearable device performs continuous and non-invasive equivalent core body temperature detection on the subject, which can quickly and easily screen abnormal body temperature conditions during pandemics, and can also provide medical basis for conditions such as rapid loss of body temperature (risk of colds), physiological period or pregnancy, and long-term abnormal body temperature. The accuracy of the equivalent core body temperature algorithm can reach a typical accuracy of ±0.2°C in actual verification, which is better than non-contact forehead temperature and ear temperature measurement methods, and also does not require the thermal equilibrium time of the contact measurement method (generally 5-10 minutes), thereby overcoming the above-mentioned technical problems existing in the existing related art.

[0005] To this end, the specific technical solution adopted by the present invention is as follows:

[0006] According to one aspect of the present invention, a method for obtaining equivalent core body temperature applicable to a wearable device is provided, the method comprising the following steps:

[0007] S1. Obtaining the ambient temperature and the wrist temperature and axillary temperature of the user using a preset data acquisition device;

[0008] S2. Analyze and summarize the correlation between ambient temperature, wrist temperature and axillary temperature based on sufficient user data, and establish an equivalent core body temperature algorithm model;

[0009] S3, calculating the equivalent core body temperature of the corresponding user using the equivalent core body temperature algorithm model;

[0010] Wherein, in S2, based on sufficient user data analysis and summarizing the correlation between ambient temperature, wrist temperature and axillary temperature, establishing an equivalent core body temperature algorithm model includes the following steps:

[0011] S21, constructing multiple groups of temperature data point clouds about ambient temperature, wrist temperature and axillary temperature of users based on sufficient user data;

[0012] S22, performing weighted ratio analysis on the temperature data point cloud, summarizing the correlation between the ambient temperature, wrist temperature and axillary temperature, and establishing an equivalent core body temperature algorithm model as follows:

[0013]

[0014] Further, the data acquisition device includes a wearable device and a core body temperature measurement device;

[0015] The wearable device is a wristband with an ambient temperature sensor and a skin temperature sensor, wherein the ambient temperature sensor measures the ambient temperature through an opening on the wristband, and the skin temperature sensor measures the wrist skin temperature of the user through contact heat conduction;

[0016] The core body temperature measurement device is a compact device with an axillary temperature sensor that measures the user's axillary temperature through contact thermal conduction.

[0017] Furthermore, the step S1 of acquiring the ambient temperature and the wrist temperature and axillary temperature of the user using a preset data acquisition device includes the following steps:

[0018] S11, starting the wearable device and the core body temperature measuring device;

[0019] S12, the wearable device and the core body temperature measurement device perform Bluetooth communication self-test;

[0020] S13, obtaining the ambient temperature and the wrist temperature of the user respectively through the ambient temperature sensor and the skin temperature sensor in the wearable device, and obtaining the armpit temperature of the user through the armpit temperature sensor in the core body temperature measurement device;

[0021] S14, using a preset data verification method to verify the data of the ambient temperature, wrist temperature and axillary temperature respectively;

[0022] S15, the wearable device stores the verified temperature data, and the core body temperature measurement device synchronizes the axillary temperature to the wearable device via Bluetooth;

[0023] S16, performing data cleaning and algorithm smoothing processing on the ambient temperature, wrist temperature and axillary temperature data stored in the wearable device.

[0024] Furthermore, before starting the wearable device and the core body temperature measurement device in S11, the step also includes: the user wears the wearable device and the core body temperature measurement device prepared in advance.

[0025] Furthermore, the skin temperature sensor in S13 contacts the wrist skin in any one of the following ways: through a PCB soft board and a thermally conductive contact pin, through a contact spring and a thermally conductive contact pin, or through a thermally conductive pad and a contact pin.

[0026] Furthermore, the data verification method in S14 is performed by a mean regression algorithm, and the data verification method includes respectively verifying the data of the ambient temperature, the wrist temperature and the axillary temperature by a mean regression algorithm.

[0027] Furthermore, the wrist temperature is verified by using a mean regression algorithm, including the following steps:

[0028] First, the temperature field change is set to be smooth and continuous in the second-level time domain, and then the average value of the first temperature point T1 and the third temperature point T3 is calculated as Then the average value T2' is calculated by the difference between the second temperature point T2 to obtain T2'-T2, and finally the difference and ratio are used to calculate the difference between the average value T2' and the second temperature point T2. For verification, if the ratio is greater than 0.1, it is considered that the wrist temperature data is affected by multiple interference factors such as wearing status, showering, and hand washing, and the third temperature point T3 is used to replace the second temperature point T2.

[0029] Furthermore, the data cleaning process in S16 mainly relies on auxiliary information of timestamps, wearing and releasing records, and charging records, and configures the weight of abnormal data to 0, thereby obtaining a highly confident data set.

[0030] Furthermore, the deviation between the equivalent core body temperature of the corresponding user calculated by the equivalent core body temperature algorithm model in S3 and the actual axillary temperature of the user should be maintained within a preset reasonable range.

[0031] According to another aspect of the present invention, there is provided an equivalent core body temperature acquisition system applicable to a wearable device, the system comprising a data acquisition device for temperature acquisition and a model building module for building an equivalent core body temperature algorithm model;

[0032] Wherein, the data acquisition device includes a wearable device and a core body temperature measurement device;

[0033] The wearable device includes but is not limited to any one of a smart bracelet or a smart watch worn on a user's wrist, and an ambient temperature sensor and a skin temperature sensor are respectively provided on the wearable device, and the ambient temperature sensor measures the ambient temperature through an opening on the wearable device, and the skin temperature sensor measures the user's wrist skin temperature through contact heat conduction;

[0034] The core body temperature measurement device is a compact device with an underarm temperature sensor, and the underarm temperature sensor measures the user's underarm temperature by contact heat conduction.

[0035] The wearable device and the core body temperature measurement device are both provided with a main chip and a power management unit, and the wearable device is also provided with a display communication module.

[0036] The beneficial effects of the present invention are:

[0037] 1) Compared with the two mainstream body temperature detection methods, the present invention can support wearable devices with a high penetration rate to perform continuous and non-invasive body temperature detection through the established equivalent core body temperature algorithm. It not only solves the accuracy deviation problem of the non-contact infrared thermopile method, but also solves the problem of long measurement preparation time of contact mercury or electronic thermometers. It provides a highly economical option for rapid, efficient and non-sensitive abnormal body temperature screening during pandemics. At the same time, it can also provide early warnings for colds and fevers, and provide continuous and accurate medical references for physiological cycles, basal body temperatures during pregnancy, etc.

[0038] 2) Compared with non-contact forehead or ear temperature measurement, the present invention can achieve a typical accuracy of ±0.2°C and a maximum accuracy of ±0.1°C; compared with contact tongue temperature, axillary temperature or rectal temperature measurement, the present invention is almost completely "non-sensing", does not require a high degree of cooperation from the subject, and does not require a preparation time of up to 5-10 minutes.

[0039] 3) Compared with the single-point data of the two traditional body temperature measurement methods, the continuous body temperature measurement of the present invention can also use big data to create user portraits, issue early warnings for colds and fevers for abnormal body temperature changes in a short period, and conduct further medical analysis for abnormal body temperature changes in a long period. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 is a flow chart of a method for obtaining equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0042] Figure 2 is a schematic diagram of a circuit architecture of a wearable device in a method for acquiring equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0043] Figure 3 is a schematic diagram of a circuit architecture of a wearable device in a method for acquiring equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0044] Figure 4 is a schematic diagram of a circuit architecture of a core body temperature measuring device in a method for acquiring an equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0045] Figure 5 is a schematic diagram of a first contact mode between a temperature sensor and wrist skin in a method for obtaining an equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0046] Figure 6 is a schematic diagram of a second contact mode between a temperature sensor and wrist skin in a method for obtaining an equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0047] Figure 7 is a schematic diagram of a third contact mode between a temperature sensor and wrist skin in a method for obtaining an equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0048] Figure 8 is a workflow diagram of an equivalent core body temperature algorithm data acquisition device in a method for acquiring equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0049] Fig. 9 It is a schematic diagram of a point cloud of the temperature data of the environment, wrist skin and underarm of a measured user A in a method for acquiring an equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0050] Fig.10It is a schematic diagram of a point cloud of the temperature data of the environment, wrist skin and underarm of a user B under test in a method for acquiring an equivalent core body temperature applicable to a wearable device according to an embodiment of the present invention;

[0051] Fig.11 It is a schematic diagram comparing the deviations between the actual axillary temperature, forehead temperature and wrist temperature (Neiguan temperature) in the prior art. DETAILED DESCRIPTION

[0052] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in the field should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0053] According to an embodiment of the present invention, a method and system for obtaining equivalent core body temperature for wearable devices are provided. The method is an operation method of a thermal conductive digital temperature sensor in continuous, non-invasive human core body temperature monitoring. The method obtains user data within a sufficient range (gender, region, season, day and night, physical state) through a set of initial devices (including a wrist device and an underarm device), analyzes and summarizes the ambient temperature (T a ), wrist temperature (T s ) and axillary temperature (T c , also known as core body temperature), and establish a set of equivalent core body temperature algorithms T by mathematical methods. c ′=f(T s , T a ), that is, an equivalent core body temperature (T c '), so that the deviation from the actual core body temperature or axillary temperature remains within a reasonable range, such as ±0.2℃.

[0054] Based on such an equivalent core temperature algorithm T c ′=f(T s , T a ), after integrating two high-precision temperature sensors into wearable devices, the wearer's body temperature data can be obtained conveniently and continuously in a "non-invasive" way, providing a high-precision basis for further medicine or health.

[0055] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1-10As shown, according to an embodiment of the present invention, a method for obtaining equivalent core body temperature applicable to a wearable device is provided, the purpose of which is to continuously detect the environment and wrist skin temperature through the wearable device, and derive the human core body temperature through an algorithm to achieve a typical accuracy of ±0.2°C. Specifically, the method includes the following steps:

[0056] S1. Using a preset data acquisition device to obtain the ambient temperature and the wrist temperature and axillary temperature of the user; specifically, the data acquisition device includes a wearable device and a core body temperature measurement device; Figure 2 As shown, it is a schematic diagram of the ambient temperature and wrist temperature acquisition of a wearable device. The wearable device is a bracelet with two sets of digital temperature measurement units (ambient temperature sensor and skin temperature sensor). One set (ambient temperature sensor) measures the air temperature through an opening, and the other set (skin temperature sensor) measures the wrist skin temperature through contact heat conduction. Both sets of units require a reasonable spatial structure and PCB design to avoid the influence of heating devices and each other. Data synchronization is performed through a Bluetooth module. The circuit architecture of the wearable device is as follows Figure 3 shown.

[0057] The core body temperature measurement device is a compact device with a set of digital temperature measurement units (axillary temperature sensors), which measures the axillary temperature through contact heat conduction. The measurement results are synchronized to the wearable device through the Bluetooth module, providing a complete data set for establishing the algorithm. The circuit architecture of the core body temperature measurement device is as follows: Figure 4 shown.

[0058] The digital temperature sensor uses products with an accuracy of up to ±0.1°C within the body temperature range. Its typical startup time is 1 millisecond and its typical conversion time is 104 milliseconds, which can achieve a higher sampling frequency.

[0059] Like a mercury thermometer, this digital temperature sensor measures temperature by heat conduction. Considering the continuity of the temperature field, a conversion time of about 0.1 seconds can fully cover the needs of equivalent core body temperature measurement. However, the physical process of obtaining data from ambient temperature and wrist temperature sensors, as well as the key points in system and PCB design are as follows.

[0060] The first contact method between the digital temperature sensor and the wrist skin is through the PCB soft board and the thermal contact pins. Figure 5 As shown;

[0061] The second contact method between the digital temperature sensor and the wrist skin is through the contact spring and the thermal contact pin. Figure 6 As shown;

[0062] The third contact method between the temperature sensor and the wrist skin is through the thermal pad and contact pins. Figure 7 shown.

[0063] Since the change of temperature field has excellent continuity, the data distortion obtained at a higher sampling frequency can mostly be considered to be caused by wearing tension or other abnormal heat conduction modes. This problem can be better solved by adjusting the weight of the distorted data through the algorithm. Figure 8 It is the working process diagram of the whole data acquisition equipment;

[0064] Specifically, S1 includes the following steps:

[0065] S11, starting the wearable device and the core body temperature measuring device; specifically, before S11, the process also includes: the user wears the wearable device and the core body temperature measuring device prepared in advance.

[0066] S12, the wearable device and the core body temperature measurement device perform Bluetooth communication self-test;

[0067] S13, obtaining the ambient temperature and the wrist temperature of the user respectively through the ambient temperature sensor and the skin temperature sensor in the wearable device, and obtaining the armpit temperature of the user through the armpit temperature sensor in the core body temperature measurement device;

[0068] S14. Use a preset data verification method to verify the data of ambient temperature, wrist temperature and axillary temperature respectively; specifically, the data verification method in S14 is performed by a mean regression algorithm, and the data verification method includes verifying the data of ambient temperature, wrist temperature and axillary temperature respectively by a mean regression algorithm.

[0069] The wrist temperature calibration using the mean regression algorithm includes the following steps:

[0070] First, the temperature field change is set to be smooth and continuous in the second-level time domain, and then the average value of the first temperature point T1 and the third temperature point T3 is calculated as Then the average value T2' is calculated by the difference between the second temperature point T2 to obtain T2'-T2, and finally the difference and ratio are used to calculate the difference between the average value T2' and the second temperature point T2. To check, if the ratio is greater than 0.1, it is considered that the wrist temperature data is affected by multiple interference factors such as wearing status, showering, and washing hands, and the third temperature point T3 is used to replace the second temperature point T2; the ambient temperature T a The check can be relaxed to 0.3.

[0071] S15, the wearable device stores the verified temperature data, and the core body temperature measurement device synchronizes the axillary temperature to the wearable device via Bluetooth;

[0072] S16, performing data cleaning and algorithm smoothing on the ambient temperature, wrist temperature and axillary temperature data stored in the wearable device. Specifically, the data cleaning process in S16 mainly relies on auxiliary information such as timestamps, wearing and unwearing records and charging records, and the weight of abnormal data is configured to 0, thereby obtaining a highly confident data set.

[0073] The accuracy and flexibility of the equivalent core temperature algorithm are determined by the completeness of the data obtained by the collection device. In order to cover the following long-tail scenarios as much as possible, such as gender, age, region, climate, circadian rhythm, physiological cycle, high fever and low fever, taking antipyretic drugs, etc., the volunteer users of data collection need to be distributed between the sexes of different ages and regions, and the power consumption needs to be as low as possible to meet the longer collection period. Fig. 9 and Fig.10 The figure shows two sets of temperature data obtained by the above-mentioned acquisition device.

[0074] S2. Analyze and summarize the correlation between ambient temperature, wrist temperature and axillary temperature based on sufficient user data, and establish an equivalent core body temperature algorithm model;

[0075] Wherein, the S2 comprises the following steps:

[0076] S21, sampling over a long period of time and covering a wide geographical range, and constructing temperature data point clouds of multiple groups of users regarding ambient temperature, wrist temperature, and axillary temperature based on sufficient user data;

[0077] S22. Perform weight matching and other analyses on the temperature data point cloud, summarize the correlation between the ambient temperature, wrist temperature and axillary temperature, and establish a set of equivalent core body temperature algorithm models with a typical accuracy of up to ±0.2°C as follows:

[0078]

[0079] The equivalent core body temperature algorithm model for wearable devices refers to the public correlation formula between forehead temperature and core body temperature as follows:

[0080]

[0081] Among them, T c is the core body temperature, T s is forehead temperature, T a is the ambient temperature.

[0082] S3, using an equivalent core body temperature algorithm model to calculate the equivalent core body temperature of the corresponding user;

[0083] The deviation between the equivalent core body temperature of the corresponding user calculated by the equivalent core body temperature algorithm model in S3 and the actual axillary temperature of the user should be maintained within a preset reasonable range, such as ±0.2°C.

[0084] Based on a set of equivalent core body temperature algorithms of the present invention, the wearable device can continuously and non-invasively detect the core body temperature of the wearer. By comparing it with the axillary temperature measured by a mercury thermometer, it is confirmed that the algorithm can achieve a typical accuracy of ±0.2°C, and can even achieve a maximum accuracy of ±0.1°C when the body temperature is stable.

[0085] According to another embodiment of the present invention, there is provided an equivalent core body temperature acquisition system applicable to a wearable device, the system comprising a data acquisition device for temperature acquisition and a model building module for building an equivalent core body temperature algorithm model;

[0086] Wherein, the data acquisition device includes a wearable device and a core body temperature measurement device;

[0087] The wearable device includes but is not limited to any one of a smart bracelet or a smart watch worn on a user's wrist, and an ambient temperature sensor and a skin temperature sensor are respectively provided on the wearable device, and the ambient temperature sensor measures the ambient temperature through an opening on the wearable device, and the skin temperature sensor measures the user's wrist skin temperature through contact heat conduction;

[0088] The core body temperature measurement device is a compact device with an underarm temperature sensor, and the underarm temperature sensor measures the user's underarm temperature by contact heat conduction.

[0089] The wearable device and the core body temperature measurement device are both provided with a main chip and a power management unit, and the wearable device is also provided with a display communication module.

[0090] To sum up, with the help of the above-mentioned technical scheme of the present invention, compared with the two most mainstream body temperature detection methods at present, the present invention can support wearable devices with a high penetration rate to perform continuous and non-invasive body temperature detection through the established equivalent core body temperature algorithm, which not only solves the accuracy deviation problem of the non-contact infrared thermopile method, but also solves the problem of long measurement preparation time of contact mercury or electronic thermometers. It provides a highly economical option for realizing fast, efficient and non-sensitive abnormal body temperature screening during pandemics, and can also provide early warning for colds and fevers, and provide continuous and accurate medical reference for physiological cycles, basal body temperature during pregnancy, etc.

[0091] In addition, compared with non-contact forehead temperature or ear temperature measurement, the present invention can achieve a typical accuracy of ±0.2°C and a maximum accuracy of ±0.1°C; compared with contact tongue temperature, axillary temperature or rectal temperature measurement, the present invention is almost completely "non-sensing", does not require a high degree of cooperation from the subject, and does not require a preparation time of up to 5-10 minutes.

[0092] In addition, compared with the single-point data of the two traditional temperature measurement methods, continuous temperature measurement can also use big data to create user profiles, issue early warnings for abnormal temperature changes in a short period of time, such as colds and fevers, and conduct further medical analysis on abnormal temperature changes in a long period of time.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for obtaining equivalent core body temperature of a wearable device, characterized in that: The method comprises the following steps: S1. Obtaining the ambient temperature and the wrist temperature and axillary temperature of the user using a preset data acquisition device; S2. Analyze and summarize the correlation between ambient temperature, wrist temperature and axillary temperature based on sufficient user data, and establish an equivalent core body temperature algorithm model; S3, calculating the equivalent core body temperature of the corresponding user using the equivalent core body temperature algorithm model; Wherein, the data acquisition device includes a wearable device and a core body temperature measurement device; The wearable device is a wristband with an ambient temperature sensor and a skin temperature sensor, wherein the ambient temperature sensor measures the ambient temperature through an opening on the wristband, and the skin temperature sensor measures the wrist skin temperature of the user through contact heat conduction; The core body temperature measurement device is a compact device with an axillary temperature sensor that measures the user's axillary temperature by contact thermal conduction; The step S1 uses a preset data acquisition device to obtain the ambient temperature and the wrist temperature and axillary temperature of the user, including the following steps: S11, starting the wearable device and the core body temperature measuring device; S12, the wearable device and the core body temperature measurement device perform Bluetooth communication self-test; S13, obtaining the ambient temperature and the wrist temperature of the user respectively through the ambient temperature sensor and the skin temperature sensor in the wearable device, and obtaining the armpit temperature of the user through the armpit temperature sensor in the core body temperature measurement device; S14, using a preset data verification method to verify the data of the ambient temperature, wrist temperature and axillary temperature respectively; The data verification method in S14 is performed by a mean regression algorithm, and the data verification method includes respectively verifying the data of the ambient temperature, the wrist temperature and the axillary temperature by a mean regression algorithm; The wrist temperature calibration using the mean regression algorithm includes the following steps: First, the temperature field change is set to be smooth and continuous in the second-level time domain, and then the average value of the first temperature point T1 and the third temperature point T3 is calculated as Then the average value T2' is calculated by the difference between the second temperature point T2 to obtain T2'-T2, and finally the difference and ratio are used to calculate the difference between the average value T2' and the second temperature point T2. To perform verification, if the ratio is greater than 0.1, it is considered that the wrist temperature data is affected by multiple interference factors such as wearing status, showering, and washing hands, and the third temperature point T3 is used to replace the second temperature point T2; S15, the wearable device stores the verified temperature data, and the core body temperature measurement device synchronizes the axillary temperature to the wearable device via Bluetooth; S16, performing data cleaning and algorithm smoothing processing on the data of ambient temperature, wrist temperature and axillary temperature stored in the wearable device; In S2, based on sufficient user data analysis and summarizing the correlation between ambient temperature, wrist temperature and axillary temperature, establishing an equivalent core body temperature algorithm model includes the following steps: S21, constructing multiple groups of temperature data point clouds about ambient temperature, wrist temperature and axillary temperature of users based on sufficient user data; S22, performing weighted ratio analysis on the temperature data point cloud, summarizing the correlation between the ambient temperature, wrist temperature and axillary temperature, and establishing an equivalent core body temperature algorithm model as follows:

2. The method for obtaining equivalent core body temperature of a wearable device according to claim 1, characterized in that: Before starting the wearable device and the core body temperature measurement device in S11, the method further includes: the user wears the wearable device and the core body temperature measurement device prepared in advance.

3. The method for obtaining equivalent core body temperature of a wearable device according to claim 2, characterized in that: In S13, the skin temperature sensor is in contact with the wrist skin through any one of a PCB soft board and a heat-conducting contact pin, a contact spring and a heat-conducting contact pin, or a heat-conducting pad and a contact pin.

4. The method for obtaining equivalent core body temperature of a wearable device according to claim 3, characterized in that: The data cleaning process in S16 mainly relies on auxiliary information such as timestamps, wearing and releasing records, and charging records, and configures the weight of abnormal data to 0, thereby obtaining a highly confident data set.

5. The method for obtaining equivalent core body temperature of a wearable device according to claim 4, characterized in that: The deviation between the equivalent core body temperature of the corresponding user calculated by the equivalent core body temperature algorithm model in S3 and the actual axillary temperature of the user should be maintained within a preset reasonable range.

6. An equivalent core body temperature acquisition system for wearable devices, used to implement the steps of the equivalent core body temperature acquisition method for wearable devices described in claim 5, characterized in that: The system includes a data acquisition device for temperature acquisition and a model building module for equivalent core body temperature algorithm model construction; Wherein, the data acquisition device includes a wearable device and a core body temperature measurement device; The wearable device includes but is not limited to any one of a smart bracelet or a smart watch worn on a user's wrist, and an ambient temperature sensor and a skin temperature sensor are respectively provided on the wearable device, and the ambient temperature sensor measures the ambient temperature through an opening on the wearable device, and the skin temperature sensor measures the user's wrist skin temperature through contact heat conduction; The core body temperature measurement device is a compact device with an underarm temperature sensor, and the underarm temperature sensor measures the user's underarm temperature by contact heat conduction. The wearable device and the core body temperature measurement device are both provided with a main chip and a power management unit, and the wearable device is also provided with a display communication module.

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