Temperature loss detection method and device, electronic equipment and storage medium

Abstract

The invention relates to a temperature loss detection method and device, electronic equipment and a storage medium. The method comprises the steps that physiological parameters of a detected object are acquired; determining a heat balance state of the measured object based on the physiological parameters; in response to the thermal imbalance state of the measured object, determining the deviation degree between the physiological parameters and preset reference physiological parameters of the measured object; wherein the preset reference parameter is a standard parameter of the measured object in a heat balance state; and determining whether the measured object is in a temperature loss state or not based on the deviation degree of the physiological parameters. Through the method, the accuracy and convenience of the temperature loss detection method can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of intelligent detection technologies, and in particular, to a hypothermia detection method and device, an electronic device, and a storage medium. Background Art

[0002] With the improvement of people's living standards, outdoor activities have been favored by more and more people. People are keen on participating in various outdoor activities such as outdoor hiking, jungle exploration, and wild marathons. Due to the complex environment and bad weather of outdoor activities, during the process of people carrying out outdoor activities, complex and changeable environmental and weather factors are likely to cause human hypothermia. In addition, when people work in extreme outdoor environments, they are also likely to suffer from catastrophic climates and cause human hypothermia.

[0003] When the human body is in a hypothermic state, it is prone to coma, heart and lung failure, etc., and may even threaten life safety in severe cases. Therefore, it is extremely necessary to accurately detect hypothermia. Summary of the Invention

[0004] The present disclosure provides a hypothermia detection method and device, an electronic device, and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a hypothermia detection method is provided, including:

[0006] Obtaining physiological parameters of a measured object;

[0007] Based on the physiological parameters, determining a thermal balance state of the measured object;

[0008] In response to the measured object being in a thermal imbalance state, determining a deviation degree between the physiological parameters and preset reference physiological parameters of the measured object; wherein, the preset reference parameters are standard parameters of the measured object in a thermal balance state;

[0009] Based on the deviation degree of the physiological parameters, determining whether the measured object is in a hypothermic state.

[0010] In some embodiments, the physiological parameters include the body surface temperature, body surface impedance, and heart rate of the measured object;

[0011] The determining the thermal balance state of the measured object based on the physiological parameters includes:

[0012] In response to the body surface temperature and / or the body surface impedance of the measured object showing a decreasing trend, and the degree of change in the heart rate of the measured object being less than a preset degree threshold, determining that the measured object is in the thermal imbalance state.

[0013] In some embodiments, the method further includes:

[0014] Obtain the environmental parameters of the environment where the object to be measured is located;

[0015] Determining the thermal equilibrium state of the object to be measured based on the physiological parameters includes:

[0016] Based on the physiological parameters and the environmental parameters, determine the thermal equilibrium state of the object to be measured.

[0017] In some embodiments, determining whether the object to be measured is in a hypothermic state based on the degree of deviation of the physiological parameters includes:

[0018] Based on the degree of deviation of the physiological parameters and the environmental parameters, determine whether the object to be measured is in the hypothermic state.

[0019] In some embodiments, responding to the object to be measured being in a thermal imbalance state and determining the degree of deviation of the physiological parameters from the preset reference physiological parameters of the object to be measured includes:

[0020] Responding to the duration of the object to be measured being in the thermal imbalance state being greater than a preset imbalance duration, determine the degree of deviation of the physiological parameters from the preset reference physiological parameters of the object to be measured.

[0021] In some embodiments, responding to the object to be measured being in a thermal imbalance state and determining the degree of deviation of the physiological parameters from the preset reference physiological parameters of the object to be measured includes:

[0022] Responding to the object to be measured being in the thermal imbalance state, determine the difference between the physiological parameters within a preset duration and the preset reference physiological parameters;

[0023] Based on the difference in the physiological parameters within the preset duration, determine the degree of deviation of the physiological parameters from the preset reference physiological parameters of the object to be measured.

[0024] In some embodiments, the method further includes:

[0025] Based on the physiological parameters within the preset duration, determine the fluctuation of the physiological parameters;

[0026] Determining whether the object to be measured is in a hypothermic state based on the degree of deviation of the physiological parameters includes:

[0027] Based on the degree of deviation of the physiological parameters of the object to be measured and the fluctuation of the physiological parameters, determine whether the object to be measured is in the hypothermic state.

[0028] In some embodiments, the physiological parameters include multiple types of physiological parameters, and the preset reference physiological parameters include the multiple types of preset reference physiological parameters;

[0029] Determining the degree of deviation of the physiological parameter from the preset reference physiological parameter of the object to be measured includes:

[0030] For each type of physiological parameter, determining the degree of deviation of the physiological parameter from the preset reference physiological parameter of the object to be measured corresponding to the type;

[0031] Based on the degree of deviation of the physiological parameter, determining whether the object to be measured is in a hypothermic state includes:

[0032] Based on the degree of deviation of each type of physiological parameter, determining whether the object to be measured is in a hypothermic state.

[0033] In some embodiments, based on the degree of deviation of each type of physiological parameter, determining whether the object to be measured is in a hypothermic state includes:

[0034] Performing a weighted process based on the degree of deviation of each type of physiological parameter and the preset weight of each type of physiological parameter to obtain the weighted degree of deviation corresponding to all types of physiological parameters;

[0035] Based on the weighted degree of deviation, determining whether the object to be measured is in the hypothermic state.

[0036] In some embodiments, the preset reference physiological parameter includes the preset reference physiological parameters of multiple time periods;

[0037] Determining the degree of deviation of the physiological parameter from the preset reference physiological parameter of the object to be measured includes:

[0038] According to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained, determining the degree of deviation of the physiological parameter in the current time period;

[0039] Based on the degree of deviation of the physiological parameter, determining whether the object to be measured is in a hypothermic state includes:

[0040] Based on the degree of deviation of the physiological parameter in the current time period, determining whether the object to be measured is in a hypothermic state.

[0041] In some embodiments, the method further includes:

[0042] Obtaining the historical physiological parameters of the object to be measured;

[0043] Determining the target physiological parameters within the range of the thermal balance state among the historical physiological parameters;

[0044] Based on the target physiological parameters, obtaining the preset reference physiological parameter of the object to be measured.

[0045] According to a second aspect of the embodiments of the present disclosure, a hypothermia detection device is provided, including:

[0046] An acquisition module, configured to acquire physiological parameters of an object to be measured;

[0047] A first determination module, configured to determine a thermal equilibrium state of the object to be measured based on the physiological parameters;

[0048] A second determination module, configured to determine a deviation degree between the physiological parameters and preset reference physiological parameters of the object to be measured in response to the object to be measured being in a thermal imbalance state; wherein, the preset reference parameters are standard parameters of the object to be measured in a thermal equilibrium state;

[0049] A third determination module, configured to determine whether the object to be measured is in a hypothermia state based on the deviation degree of the physiological parameters.

[0050] In some embodiments, the physiological parameters include the body surface temperature, body surface impedance, and heart rate of the object to be measured; the first determination module is further configured to determine that the object to be measured is in the thermal imbalance state in response to a decreasing trend of the body surface temperature and / or the body surface impedance of the object to be measured, and a change degree of the heart rate of the object to be measured being less than a preset degree threshold.

[0051] In some embodiments, the acquisition module is further configured to acquire environmental parameters of the environment where the object to be measured is located; the first determination module is further configured to determine a thermal equilibrium state of the object to be measured based on the physiological parameters and the environmental parameters.

[0052] In some embodiments, the third determination module is further configured to determine whether the object to be measured is in the hypothermia state based on the deviation degree of the physiological parameters and the environmental parameters.

[0053] In some embodiments, the second determination module is further configured to determine a deviation degree between the physiological parameters and preset reference physiological parameters of the object to be measured in response to a duration of the object to be measured being in the thermal imbalance state being greater than a preset imbalance duration.

[0054] In some embodiments, the second determination module is further configured to determine a difference between physiological parameters within a preset duration and the preset reference physiological parameters in response to the object to be measured being in the thermal imbalance state; and determine a deviation degree between the physiological parameters and preset reference physiological parameters of the object to be measured based on the difference of the physiological parameters within the preset duration.

[0055] In some embodiments, the second determination module is further configured to determine the fluctuation condition of the physiological parameters based on the physiological parameters within the preset duration; the third determination module is further configured to determine whether the measured object is in the hypothermia state based on the deviation degree of the physiological parameters of the measured object and the fluctuation condition of the physiological parameters.

[0056] In some embodiments, the physiological parameters include multiple types of physiological parameters, and the preset reference physiological parameters include the preset reference physiological parameters of multiple types; the second determination module is further configured to determine, for each type of physiological parameter, the deviation degree between the physiological parameter and the preset reference physiological parameter of the measured object corresponding to the type; the third determination module is further configured to determine whether the measured object is in the hypothermia state based on the deviation degrees of the physiological parameters of each type.

[0057] In some embodiments, the third determination module is further configured to perform a weighting process based on the deviation degree of each type of physiological parameter and the preset weight of each type of physiological parameter to obtain the weighted deviation degree corresponding to all types of physiological parameters; and determine whether the measured object is in the hypothermia state based on the weighted deviation degree.

[0058] In some embodiments, the preset reference physiological parameters include the preset reference physiological parameters of multiple time periods; the second determination module is further configured to determine the deviation degree of the physiological parameters in the current time period according to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained; the third determination module is further configured to determine whether the measured object is in the hypothermia state based on the deviation degree of the physiological parameters in the current time period.

[0059] In some embodiments, the acquisition module is further configured to acquire the historical physiological parameters of the measured object; determine the target physiological parameters within the range of the heat balance state in the historical physiological parameters; and obtain the preset reference physiological parameters of the measured object based on the target physiological parameters.

[0060] According to a third aspect of the embodiments of the present disclosure, there is provided an electronic device, including:

[0061] A processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the hypothermia detection method as described in the first aspect above.

[0062] According to a fourth aspect of the embodiments of the present disclosure, there is provided a storage medium, including:

[0063] When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the hypothermia detection method as described in the first aspect above.

[0064] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0065] In the embodiments of the present disclosure, the hypothermia detection device uses the physiological parameters of the object to be measured to evaluate the thermal balance state of the object to be measured. When the object to be measured is in a state of thermal imbalance, the degree of deviation between the physiological parameters of the object to be measured and the preset reference physiological parameters of the object to be measured is further used to determine whether the object to be measured has hypothermia. On the one hand, physiological parameters are easy to obtain. The method of judging the thermal balance state of the object to be measured based on physiological parameters and then further performing hypothermia detection under the state of thermal imbalance follows the pathogenesis of human hypothermia (the calorific value is lower than the heat dissipation for a long time) for detection, and the data acquisition and detection process of hypothermia detection are simple and effective. On the other hand, the hypothermia detection device introduces the preset reference physiological parameters of the object to be measured, so that personalized reference data can be used for hypothermia judgment, reducing the low accuracy of hypothermia judgment caused by individual physiological differences and improving the accuracy of hypothermia detection.

[0066] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. Description of the Drawings

[0067] The drawings here are incorporated into the specification and constitute a part of this specification, showing the embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0068] Figure 1 It is a flowchart example of a hypothermia detection method shown in the embodiments of the present disclosure.

[0069] Figure 2 It is a schematic diagram of the change in human skin temperature under a state of thermal imbalance shown in the embodiments of the present disclosure.

[0070] Figure 3 It is a schematic diagram of the modules of a wearable device shown in the embodiments of the present disclosure.

[0071] Figure 4 It is a flowchart of a hypothermia detection method shown in the embodiments of the present disclosure.

[0072] Figure 5 It is a diagram of a hypothermia detection device shown in the embodiments of the present disclosure.

[0073] Figure 6 It is a block diagram of an electronic device 800 shown in the embodiments of the present disclosure. Detailed Embodiments

[0074] Exemplary embodiments will be described in detail herein, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0075] An embodiment of the present disclosure provides a hypothermia detection method. The execution subject thereof may be a hypothermia detection device. For example, the hypothermia detection method may be executed by a terminal device, a server, or other electronic devices including a sensing data acquisition component. Among them, the terminal device may be a mobile phone, a camera, a tablet computer, a vehicle-mounted device, a wearable device, etc. If the execution subject is a server or other electronic devices, after the terminal device including the sensing data acquisition component acquires the sensing data required for detection, it is sent to the server or other electronic devices. Thus, the server or other electronic devices may perform hypothermia detection based on the sensing data and feedback the result of the hypothermia detection to the terminal device. In some possible implementation manners, the hypothermia detection method may be implemented by a processor calling computer-readable instructions stored in a memory.

[0076] Figure 1 is an example flowchart of a hypothermia detection method shown in an embodiment of the present disclosure. It can be seen from Figure 1 that it includes the following steps:

[0077] S11. Obtain the physiological parameters of the object to be measured;

[0078] S12. Determine the thermal balance state of the object to be measured based on the physiological parameters;

[0079] S13. In response to the object to be measured being in a state of thermal imbalance, determine the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object to be measured; wherein, the preset reference parameters are the standard parameters of the object to be measured in a state of thermal balance;

[0080] S14. Determine whether the object to be measured is in a state of hypothermia based on the degree of deviation of the physiological parameters.

[0081] In step S11, the hypothermia detection device can obtain the physiological parameters of the object to be measured. As mentioned above, when the hypothermia detection device is a terminal device with a sensing data acquisition function, the hypothermia detection device can collect the physiological parameters of the object to be measured through its own sensor component; when the hypothermia detection device is a server or other electronic device, the hypothermia detection device can obtain the physiological parameters of the object to be measured from the data acquisition device established with it for communication connection. Among them, the physiological parameters of the object to be measured include various types, for example, they can be the body surface parameters, electrocardiogram parameters, blood parameters, etc. of the human body. For example, a smart watch can directly collect physiological parameters such as the body surface temperature and heart rate of the object to be measured; for another example, a mobile phone obtains the already collected physiological parameters such as body surface temperature and heart rate through one or more acquisition devices such as a smart bracelet and a smart necklace.

[0082] In some embodiments, the hypothermia detection device can continuously obtain the physiological parameters of the object to be measured, or can periodically obtain the physiological parameters at preset time intervals.

[0083] In step S12, the hypothermia detection device can determine the thermal balance state of the object to be measured based on the physiological parameters of the object to be measured, where the thermal balance state includes the thermal balance state in which the heat generation and heat dissipation of the human body maintain a dynamic balance, and the thermal imbalance state in which the heat generation of the human body is less than the heat dissipation.

[0084] In the embodiments of the present disclosure, the hypothermia detection device can determine the thermal balance state of the object to be measured based on one or more types of physiological parameters; in addition, it can also obtain the environmental parameters of the environment where the object to be measured is located, and jointly determine the thermal balance state by combining the physiological parameters and the environmental parameters.

[0085] In step S13, the hypothermia detection device can determine the deviation degree between the physiological parameters and the preset reference physiological parameters of the object to be measured when the object to be measured is in a thermal imbalance state for a long time; it can also determine the deviation degree between the physiological parameters and the preset reference physiological parameters of the object to be measured when the object to be measured is in a thermal imbalance state with a higher degree of imbalance. Among them, the preset reference parameter is the standard parameter of the object to be measured in the thermal balance state. As mentioned above, the physiological parameters can be obtained in multiple time periods or multiple types, so in the embodiments of the present disclosure, the hypothermia detection device can statistically obtain the preset reference physiological parameters corresponding to each time period through the historical physiological parameters of the object to be measured in multiple time periods; it can also statistically obtain the preset reference physiological parameters corresponding to each type through the historical physiological parameters of the object to be measured in multiple types.

[0086] In the embodiments of the present disclosure, there are various ways for the hypothermia detection device to determine the deviation degree between the physiological parameter and the preset reference physiological parameter of the object to be measured. It can be based on the difference between the physiological parameter and the preset reference physiological parameter within a preset time period to determine the deviation degree of the physiological parameter; it can also be based on multiple types of preset reference physiological parameters, and for each type of physiological parameter, determine the deviation degree between the physiological parameter of this type and the corresponding preset reference physiological parameter of this type, and then statistically obtain the comprehensive deviation degree corresponding to all types of physiological parameters; it can also be based on the preset reference physiological parameters of multiple preset time periods, and determine the deviation degree of the physiological parameter in the current time period according to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained.

[0087] In step S14, there are various ways for the hypothermia detection device to determine whether the object to be measured is in a hypothermia state based on the deviation degree of the physiological parameter. It can be directly determined based on the deviation degree of the physiological parameter; it can also be jointly determined by combining the deviation degree of the physiological parameter and the environmental parameter; it can also be jointly determined by combining the deviation degree of the physiological parameter and the fluctuation condition of the physiological parameter. For example, when the deviation degree of the physiological parameter is greater than the preset deviation threshold, the hypothermia detection device determines that the object to be measured is in a hypothermia state; when the deviation degree of the physiological parameter is less than or equal to the preset deviation threshold, the hypothermia detection device determines that the object to be measured is in a non-hypothermia state.

[0088] In the related art, usually, the human body state data of the object to be measured (such as blood oxygen concentration data, heart rate data, temperature data of the human body's core area, humidity data of the human body's core area, etc.), environmental state data (such as temperature data, humidity data, air pressure data, air flow rate, etc.), and outdoor activity plan data (such as the time of outdoor activity, the location of outdoor activity, the route of outdoor activity, etc.) are first detected, and then the hypothermia risk probability is evaluated based on the detected human body state data, environmental state data, outdoor plan data, and the prediction model.

[0089] However, in the related art, on the one hand, it is necessary to rely on wearing a variety of sensing devices in multiple areas of the human body to obtain a variety of sensing data such as human body state, environmental state, and outdoor plan, resulting in great difficulty in obtaining hypothermia detection data and a complicated detection and judgment process; on the other hand, the prediction model is constructed based on the human body state data of reference personnel, and the hypothermia risk probability is evaluated by using the human body state data of the object to be measured and the preset model (the human body state data of reference personnel), which is likely to cause a low evaluation accuracy due to the large individual differences in the human body state data.

[0090] In contrast, in the embodiments of the present disclosure, the hypothermia detection device uses the physiological parameters of the object to be measured to evaluate the thermal balance state of the object to be measured. When the object to be measured is in a state of thermal imbalance, the degree of deviation between the physiological parameters of the object to be measured and the preset reference physiological parameters of the object to be measured is further used to determine whether the object to be measured has hypothermia. On the one hand, the physiological parameters are easy to obtain. The method of judging the thermal balance state of the object to be measured based on the physiological parameters and then further performing hypothermia detection under the state of thermal imbalance follows the pathogenesis of human hypothermia (the calorific value is lower than the heat dissipation for a long time) for detection. The data acquisition and detection process of hypothermia detection are simple and effective. On the other hand, the hypothermia detection device introduces the preset reference physiological parameters of the object to be measured, so that personalized reference data can be used for hypothermia judgment, reducing the low accuracy of hypothermia judgment caused by individual physiological differences and improving the accuracy of hypothermia detection.

[0091] In some embodiments, the physiological parameters include the body surface temperature, body surface impedance, and heart rate of the object to be measured;

[0092] Determining the thermal balance state of the object to be measured based on the physiological parameters includes:

[0093] In response to the body surface temperature and / or the body surface impedance of the object to be measured showing a decreasing trend, and the degree of change in the heart rate of the object to be measured being less than a preset degree threshold, it is determined that the object to be measured is in the state of thermal imbalance.

[0094] In the embodiments of the present disclosure, the physiological parameters obtained by the hypothermia detection device include the body surface temperature, body surface impedance, and heart rate of the object to be measured. Among them, there are various ways for the hypothermia detection device to determine the change trend of the body surface temperature of the object to be measured. It can be to compare the single body surface temperature at adjacent times one by one. If the body surface temperature at the next moment is less than the body surface temperature at the previous moment, it is determined that the body surface temperature shows a decreasing trend; it can also be to first divide the body surface temperature by time to obtain the body surface temperature corresponding to multiple adjacent time periods (which can be the median or average value of the body surface temperature within the time period, etc.), and then compare the body surface temperature corresponding to adjacent time periods. If the body surface temperature at the next time period is less than the body surface temperature at the previous time period, it is determined that the body surface temperature shows a decreasing trend. In addition, in the embodiments of the present disclosure, the method for the hypothermia detection device to determine the change trend of the body surface impedance of the object to be measured can be implemented by referring to the judgment method of the body surface temperature, and the present disclosure will not elaborate here.

[0095] Figure 2 It is a schematic diagram of the change in human skin temperature under a state of thermal imbalance shown in the embodiments of the present disclosure. As Figure 2 shown, when the human body is in a state where the calorific value is lower than the heat dissipation, the skin temperature of the human body shows a continuous decreasing trend within 1200 seconds.

[0096] In the disclosed embodiments, there are multiple ways for the hypothermia detection device to determine whether the degree of change in the heart rate of the subject being measured is less than a preset degree threshold. The method may be to compare the individual heart rates at adjacent moments one by one, and use the amplitude of the heart rate change at adjacent moments to determine whether the degree of change in the heart rate is less than the preset degree threshold. The method may also be to first divide the heart rate by time, and obtain the heart rates corresponding to multiple adjacent time periods (which may be the median or mean of the heart rate within the time period, etc.), and then compare the heart rates corresponding to the adjacent time periods, and determine whether the degree of change in the heart rate is less than the preset degree threshold based on the amplitude of the heart rate change corresponding to the adjacent time periods.

[0097] Exemplarily, the hypothermia detection device can evaluate the thermal equilibrium state of the object under test based on the skin temperature T, skin impedance R, and heart rate HR of the object under test using the following formulas (1)-(3):

[0098] (T i -T i-1 )<0 (1)

[0099] (R i -R i-1 )<0 (2)

[0100] ABS(HR i -HR i-1 )<10 (3)

[0101] Among them, T i , R i , HR i Respectively represent the skin temperature, skin impedance, and heart rate at time i, T i-1 , R i-1 , HR i-1 represents the skin temperature, skin impedance and heart rate at time i-1 respectively, and 10 is the preset threshold of the heart rate. If the physiological parameters of the measured object satisfy the above formulas (1)-(3) within the preset time period, that is, the skin temperature and skin impedance of the measured object are in a downward trend for a long time, and the heart rate has no significant change, it can be determined that the measured object is in a state of thermal imbalance.

[0102] It should be noted that the body temperature may drop during or after exercise. The large amount of sweat secreted during exercise will take away heat when evaporating, and the body's heat production is less than the heat dissipation, which eventually leads to a drop in body temperature. For example, the skin of the human body sweats locally after exercise, and the measured body surface temperature is low because the skin is not kept dry. However, the human heart rate changes greatly during or after exercise, and the heart rate is relatively stable when the human body is hypothermic.

[0103] In this regard, in the embodiments of the present disclosure, when the hypothermia detection device evaluates the thermal imbalance state, it introduces body surface parameters and heart rate parameters to jointly determine the thermal balance state of the object to be measured, following various physiological characteristics during the process of human hypothermia, which is beneficial to reducing the influence of human heat changes caused by other factors such as exercise, improving the accuracy of the thermal balance state evaluation, and further improving the accuracy of hypothermia detection.

[0104] In some embodiments, the method further includes:

[0105] Obtaining environmental parameters of the environment where the object to be measured is located;

[0106] Determining the thermal balance state of the object to be measured based on the physiological parameters includes:

[0107] Based on the physiological parameters and the environmental parameters, determining the thermal balance state of the object to be measured.

[0108] In the embodiments of the present disclosure, the hypothermia detection device can obtain the environmental parameters of the object to be measured. The hypothermia detection device can collect the environmental parameters of the environment where the object to be measured is located through its own sensor component, or obtain the environmental parameters of the environment where the object to be measured is located from other devices. Among them, the environmental parameters of the object to be measured include meteorological data, altitude data, environmental temperature, etc. of the environment where the object to be measured is located.

[0109] In the embodiments of the present disclosure, there are various ways for the hypothermia detection device to determine the thermal balance state of the object to be measured based on physiological parameters and environmental parameters. It can be to dynamically adjust the threshold corresponding to the physiological parameters (for example, the preset degree threshold of the heart rate) in the determination of the thermal balance state of the object to be measured based on the obtained meteorological data and environmental data, and evaluate the thermal balance state of the object to be measured based on the adjusted threshold; it can also be to establish a thermal balance state evaluation model f(T, M, E) based on the body surface temperature T, meteorological data M, environmental data E, etc., and evaluate the thermal balance state of the object to be measured. Among them, the thermal balance state evaluation model can be obtained by training based on a neural network. For example, the hypothermia detection device can obtain the historical body surface temperature T1, meteorological data M1, environmental data E1 under the thermal balance and thermal imbalance states, and then use the above data to optimize the neural network model, and finally obtain the thermal balance state evaluation model f(T, M, E).

[0110] Exemplarily, when the obtained environmental parameters indicate that the environment where the object to be measured is located is good, the hypothermia detection device can set the preset degree threshold of the heart rate in the foregoing formula (3) to 10; when the obtained environmental parameters indicate that the environment where the object to be measured is located is harsh, the hypothermia detection device can set the foregoing preset degree threshold to 20, so that the threshold parameters for evaluating the thermal imbalance state can adapt to the environmental conditions where the object to be measured is located.

[0111] In the embodiments of the present disclosure, the hypothermia detection device introduces the environmental parameters of the environment where the object to be measured is located, and combines the physiological parameters and the environmental parameters to evaluate the thermal equilibrium state, taking into account the influence of environmental factors on the human thermal equilibrium state, which is beneficial to improving the accuracy of judging the thermal equilibrium state of the object to be measured, and further improving the accuracy of hypothermia detection.

[0112] In some embodiments, determining whether the object to be measured is in a hypothermic state based on the degree of deviation of the physiological parameters includes:

[0113] Determining whether the object to be measured is in the hypothermic state based on the degree of deviation of the physiological parameters and the environmental parameters.

[0114] Generally, the environmental state of the environment where the object to be measured is located is complex and changeable. Therefore, in the embodiments of the present disclosure, the hypothermia detection device can preset preset deviation degree thresholds corresponding to various environmental states. Then, when the hypothermia detection device judges the hypothermic state, it can first determine the current environmental state of the object to be measured according to the environmental parameters of the environment where the object to be measured is located, and judge whether the object to be measured is in a hypothermic state based on the degree of deviation of the physiological parameters and the preset deviation degree threshold corresponding to the current environmental state of the object to be measured. If the degree of deviation of the physiological parameters is greater than the preset deviation degree threshold corresponding to the current environmental state, it is determined that the object to be measured is in a hypothermic state; if the degree of deviation of the physiological parameters is less than or equal to the preset deviation degree threshold corresponding to the current environmental state, it is determined that the object to be measured is in a non-hypothermic state.

[0115] In the embodiments of the present disclosure, the hypothermia detection device introduces the environmental parameters of the environment where the object to be measured is located, and combines the degree of deviation of the physiological parameters and the environmental parameters to judge hypothermia, taking into account the influence of environmental factors on human hypothermia, which is beneficial to improving the accuracy of hypothermia detection.

[0116] In some embodiments, responding to the object to be measured being in a thermal imbalance state and determining the degree of deviation of the physiological parameters from the preset reference physiological parameters of the object to be measured includes:

[0117] Responding to the duration of the object to be measured being in the thermal imbalance state being greater than the preset imbalance duration, and determining the degree of deviation of the physiological parameters from the preset reference physiological parameters of the object to be measured.

[0118] It should be noted that the human body may experience a temporary decrease in body temperature due to the evaporation of sweat during exercise, or a temporary decrease in body temperature when frequently entering and leaving indoors and outdoors in cold winter. Since the human body will develop hypothermia only when it is in a thermal imbalance state for a long time, although the above situations will cause a decrease in body temperature, they do not conform to the physiological characteristics during human hypothermia and cannot be recognized as thermal imbalance caused by human hypothermia.

[0119] In this regard, in the embodiments of the present disclosure, when the duration of the object under test in a heat imbalance state is greater than a preset imbalance duration, the degree of deviation between the physiological parameter and the preset reference physiological parameter of the object under test is determined, and then a determination is made as to whether the object under test is in a hypothermia state. This can reduce the false judgment of the hypothermia state of the human body caused by the aforementioned body temperature drop unrelated to hypothermia, which is beneficial to improving the accuracy of detecting the hypothermia state of the object under test.

[0120] In some embodiments, the determining the degree of deviation between the physiological parameter and the preset reference physiological parameter of the object under test in response to the object under test being in a heat imbalance state includes:

[0121] In response to the object under test being in the heat imbalance state, determining the difference between the physiological parameter within a preset duration and the preset reference physiological parameter;

[0122] Based on the difference of the physiological parameter within the preset duration, determining the degree of deviation between the physiological parameter and the preset reference physiological parameter of the object under test.

[0123] In the embodiments of the present disclosure, when the object under test is in a heat imbalance state, there are various ways for the hypothermia detection device to determine the degree of deviation between the physiological parameter within a preset duration and the preset reference physiological parameter of the object under test. In some embodiments, the hypothermia detection device can first determine multiple physiological parameter difference values between the physiological parameter within the preset duration and the preset reference physiological parameter, and statistically obtain the degree of deviation of the physiological parameter based on the multiple physiological parameter difference values. Among them, the statistical method can be to find the mean value, median value, etc. In other embodiments, the hypothermia detection device can perform fitting based on the aforementioned multiple physiological parameter difference values to obtain a physiological parameter deviation curve, and determine the degree of deviation of the physiological parameter based on the mean value or median value of the slope of the physiological parameter deviation curve. In still another embodiment, the hypothermia detection device can calculate the proportion of the number of data (discrete data) that do not fall within the difference range among the aforementioned multiple physiological parameter difference values based on a preset difference range. If the proportion is relatively large, it can be determined that the degree of deviation of the physiological parameter is relatively large.

[0124] In the embodiments of the present disclosure, the hypothermia detection device determines the degree of deviation between the physiological parameter and the preset reference physiological parameter of the object under test based on the physiological parameter within a preset duration. Compared with the method of judging hypothermia based on a small amount of physiological parameters at a single moment, it can comprehensively consider a large number of continuous physiological parameters within a preset duration, which is more in line with the physiological characteristics of hypothermia (hypothermia caused by long-term heat imbalance state), and is beneficial to improving the accuracy of hypothermia detection.

[0125] In some embodiments, the method further includes:

[0126] Based on the physiological parameter within the preset duration, determining the fluctuation condition of the physiological parameter;

[0127] Determining whether the object under test is in a hypothermic state based on the degree of deviation of physiological parameters includes:

[0128] Based on the degree of deviation of the physiological parameters of the object under test and the fluctuation of the physiological parameters, determine whether the object under test is in the hypothermic state.

[0129] In the embodiments of the present disclosure, the hypothermia detection device further combines the fluctuation of physiological parameters on the basis of the degree of deviation of physiological parameters to jointly determine whether the object under test is in a hypothermic state. Among them, the fluctuation of physiological parameters can be the change frequency of physiological parameters or the change time required for the physiological parameters to fluctuate to a preset amplitude threshold.

[0130] Exemplarily, when the degree of deviation of physiological parameters is less than a preset deviation threshold and the fluctuation frequency of physiological parameters is less than a preset frequency threshold, it is determined that the object under test is in a non-hypothermic state; for another example, when the degree of deviation of physiological parameters is less than a preset deviation threshold and the change time required for the physiological parameters to reach a preset amplitude threshold is greater than a preset time threshold, it indicates that the object under test is in a non-hypothermic state.

[0131] It should be noted that when the human body first enters the hypothermic state, it usually enters the stage of mild hypothermia. During mild hypothermia, the body's regulatory mechanism will regulate body temperature, resulting in frequent fluctuations of body temperature around the baseline body temperature or a rapid fluctuation to a certain amplitude, but the degree of deviation from the baseline body temperature is relatively small. If not intervened in time, the human body will continue to lose heat and the body temperature will drop significantly, entering the moderate or severe hypothermic state. As described above Figure 2 As shown, when the human body is in a heat imbalance state, the skin temperature will first fluctuate frequently around the baseline body temperature of 34.5 degrees Celsius. As the heat imbalance continues, the body temperature begins to drop significantly continuously. Therefore, in the case of mild hypothermia in the human body, if the hypothermia is judged only by the degree of deviation of physiological parameters, it is easy to ignore the influence of the body's regulatory mechanism on the hypothermia judgment, resulting in a low accuracy or delay in hypothermia detection.

[0132] In response to this, in the embodiments of the present disclosure, when the hypothermia detection device judges the hypothermic state, introducing the fluctuation of physiological parameters can improve the accuracy and timeliness of hypothermia detection.

[0133] In some embodiments, the physiological parameters include multiple types of physiological parameters, and the preset reference physiological parameters include the multiple types of preset reference physiological parameters;

[0134] Determining the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object under test includes:

[0135] For each type of physiological parameter, determine the degree of deviation of the physiological parameter from the preset reference physiological parameter of the measured object corresponding to the type;

[0136] Determining whether the measured object is in a hypothermic state based on the degree of deviation of the physiological parameter includes:

[0137] Based on the degree of deviation of each type of physiological parameter, determine whether the measured object is in a hypothermic state.

[0138] In the embodiments of the present disclosure, the hypothermia detection device can determine the preset reference physiological parameters corresponding to each type based on the different types of physiological parameters. As mentioned above, the physiological parameters can include body surface temperature, body surface impedance, heart rate, etc. In the embodiments of the present disclosure, the preset reference physiological parameters corresponding to each type can be determined based on the historical physiological parameters corresponding to the above-mentioned various types of physiological parameters, such as the preset body surface temperature reference, preset body surface impedance reference, preset heart rate reference, etc. corresponding to the body surface temperature.

[0139] In the embodiments of the present disclosure, the hypothermia detection device can determine the degree of deviation of the physiological parameter from the preset reference physiological parameter of the measured object corresponding to each type. For example, the difference between the body surface temperature of the measured object and the preset body surface temperature reference can be determined as the degree of deviation of the physiological parameter of the body surface temperature type, where the difference can be a difference value or a ratio. Similarly, the hypothermia detection device can also obtain the degree of deviation corresponding to each physiological parameter such as body surface impedance and heart rate. Furthermore, the hypothermia detection device can determine whether the measured object is in a hypothermic state based on the degree of deviation of the above-mentioned various types of physiological parameters.

[0140] Exemplarily, the hypothermia detection device can be based on the current physiological parameter P i , and preset the corresponding baseline parameter P ibase (preset reference physiological parameter). For the case where there are n types of physiological parameters, an n-dimensional vector V(P 1 , P 2 , P 3 , …, P n ) of the physiological parameters can be established, and an n-dimensional vector V base (P 1base , P 2base , P 3base , …, P nbase ) of the baseline parameters corresponding to the n types of physiological parameters can be established. By calculating the Euclidean distance between the physiological parameter vector and the corresponding baseline parameter vector, the degree of deviation of the physiological parameter from the baseline can be further evaluated.

[0141] In the embodiments of the present disclosure, the hypothermia detection device determines whether the object to be measured is in a hypothermia state based on the deviation degrees of various types of physiological parameters. It may calculate the average or median value of the deviation degrees of various types of physiological parameters to obtain the deviation degrees corresponding to all types of physiological parameters, and make a hypothermia judgment based on this deviation degree. If the deviation degree is greater than the preset deviation threshold, it is determined to be in a hypothermia state; if the deviation degree is less than or equal to the preset deviation threshold, it is determined not to be in a hypothermia state. Alternatively, for the deviation degree of each physiological parameter and the preset deviation threshold, the hypothermia results corresponding to various physiological parameters are determined, and the proportion of the hypothermia results of all physiological parameters that indicate the hypothermia of the object to be measured is statistically calculated. If the proportion is greater than the preset hypothermia proportion, it is determined to be hypothermia; if the proportion is less than or equal to the preset hypothermia proportion, it is determined not to be hypothermia.

[0142] In the embodiments of the present disclosure, the hypothermia detection device uses various types of physiological parameters and presets the corresponding preset reference physiological parameters. It can calculate the corresponding deviation degree for each type of physiological parameter, improving the accuracy of the deviation degree of physiological parameters, and thus also facilitating the improvement of the accuracy of hypothermia detection.

[0143] In some embodiments, determining whether the object to be measured is in a hypothermia state based on the deviation degrees of various types of physiological parameters includes:

[0144] Performing weighted processing based on the deviation degree of each type of physiological parameter and the preset weight of each type of physiological parameter to obtain the weighted deviation degree corresponding to all types of physiological parameters;

[0145] Determining whether the object to be measured is in the hypothermia state based on the weighted deviation degree.

[0146] In the embodiments of the present disclosure, when there are multiple physiological parameters, the hypothermia detection device can preset the weights of various physiological parameters. Then, after obtaining the deviation degrees of various types of physiological parameters, weighted processing can be performed using the deviation degrees of physiological parameters and the preset weights to obtain the weighted deviation degrees corresponding to all types of physiological parameters, and determine whether the object to be measured is in a hypothermia state based on the weighted deviation degrees.

[0147] Exemplarily, the physiological parameters obtained by the hypothermia detection device include body surface temperature, body surface impedance, and heart rate. The preset weight of body surface temperature is 40%, the preset weight of body surface impedance is 35%, and the preset weight of heart rate is 25%. The weighted deviation degree of all physiological parameters can be obtained through the following formula (4).

[0148] Z p =T p *0.4+R p *0.35+HR p *0.25 (4)

[0149] Among them, T p is the deviation degree of the body surface temperature, R p is the deviation degree of the body surface impedance, HR p is the deviation degree of the heart rate, and Z p is the deviation degree after weighting all the above physiological parameters.

[0150] In the embodiments of the present disclosure, the hypothermia detection device presets weights for each type of physiological parameter, and obtains the weighted deviation degree corresponding to all types of physiological parameters by weighting, which can flexibly configure the weights of various physiological parameters in hypothermia judgment, and is beneficial to improving the flexibility and intelligence of hypothermia detection.

[0151] In some embodiments, the preset reference physiological parameters include preset reference physiological parameters for multiple time periods;

[0152] The determining the deviation degree between the physiological parameter and the preset reference physiological parameter of the measured object includes:

[0153] Determining the deviation degree of the physiological parameter in the current time period according to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained;

[0154] The determining whether the measured object is in a hypothermic state based on the deviation degree of the physiological parameter includes:

[0155] Determining whether the measured object is in a hypothermic state based on the deviation degree of the physiological parameter in the current time period.

[0156] In the embodiments of the present disclosure, the hypothermia detection device can preset the preset reference physiological parameters for different time periods. As mentioned above, the physiological parameters can periodically obtain the physiological parameters of multiple time periods, so the preset reference physiological parameters corresponding to each time period can be determined based on the physiological parameters of the historical time periods. For example, the preset reference physiological parameters corresponding to each time period of morning, noon, and evening can be preset.

[0157] In the embodiments of the present disclosure, the hypothermia detection device can determine the deviation degree of the physiological parameter in the current time period according to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained, and then determine whether the measured object is in a hypothermic state based on the deviation degree of the physiological parameter in the current time period. For example, if the time when the physiological parameter is obtained is in the time period from 9:00 to 10:00 in the morning, the deviation degree of the physiological parameter in the time period from 9:00 to 10:00 can be determined according to the difference between the physiological parameter and the preset reference physiological parameter corresponding to the time period from 9:00 to 10:00, and the hypothermic state of the measured object can be judged based on the deviation degree from 9:00 to 10:00.

[0158] It should be noted that when carrying out outdoor activities or work, the environment is usually changeable, with a large temperature difference between day and night, and sometimes the meteorological changes in the morning and evening are also significant. Therefore, parameters such as the body temperature and heart rate of the human body may also have certain differences. However, generally, the environment and climate during the same period are relatively stable, and the body temperature, heart rate and other parameters of the human body also have certain commonalities.

[0159] In this regard, in the embodiments of the present disclosure, the hypothermia detection device can be based on the preset reference physiological parameters for different periods. Then, when determining the deviation degree, the preset reference physiological parameters corresponding to the period when the physiological parameters are obtained can be used in a targeted manner, which is beneficial to reducing the differences introduced by other factors such as the environment and climate, improving the accuracy of the reference benchmark of the physiological parameters, and overall improving the accuracy of hypothermia detection.

[0160] In some embodiments, the method further includes:

[0161] Obtaining the historical physiological parameters of the object to be measured;

[0162] Determining the target physiological parameters belonging to the range of the thermal balance state among the historical physiological parameters;

[0163] Based on the target physiological parameters, obtaining the preset reference physiological parameters of the object to be measured.

[0164] In the embodiments of the present disclosure, the hypothermia detection device determines the physiological parameters indicating that the object to be measured is in a thermal balance state among the historical physiological parameters as the target physiological parameters belonging to the range of the thermal balance state. In the case where the physiological parameters include multiple types, the target physiological parameters corresponding to each type can be determined. Among them, the target physiological parameters can be determined based on the boundary values of the human physiological parameters under the thermal balance state. For example, the body surface temperature within the range of the lowest body surface temperature and the highest body surface temperature of the human body under the thermal balance state can be determined as the target parameter of the body surface temperature.

[0165] In the embodiments of the present disclosure, the hypothermia detection device can determine the mean value, median value, etc. of the target physiological parameters as the preset reference physiological parameters of the object to be measured; it can also multiply the target physiological parameters by a preset coefficient to obtain the preset reference physiological parameters; it can also train the preset reference physiological parameters based on the target physiological parameters through a machine learning or deep learning model.

[0166] Exemplarily, the hypothermia detection device can preset a corresponding normal range (P i , P imin , P imax ) for each type of physiological parameter P imin , where P i represents the minimum value of the physiological parameter P imax within the normal range, and Pi The maximum value within the normal range. When the physiological parameter P i satisfies P imin <P i <P imax When, it can be considered as a valid physiological parameter (target physiological parameter) within the normal range, and the current P is saved i For establishing the physiological baseline (preset reference physiological parameter) of this physiological parameter. Among them, there are multiple ways to establish the P i physiological baseline. It can be to directly take the average of all Ps that meet the conditions, and take the P i average value as the physiological baseline; it can also be divided into multiple time periods according to different times of each day, and establish the P i physiological baselines corresponding to multiple time periods. For the case where there are n types of physiological parameters, the physiological baselines corresponding to various parameters can be established for subsequent hypothermia analysis. i It should be noted that physiological parameters have individual differences. If all users adopt the same reference parameters, errors are often introduced in the process of determining the deviation degree of physiological parameters due to differences in individual physiological data, thus reducing the accuracy of hypothermia detection.

[0167] In the embodiments of the present disclosure, the hypothermia detection device uses the historical physiological parameters of the measured object in the thermal equilibrium state to determine the preset reference physiological parameter, so that the preset reference physiological parameter is personalized based on the measured object, which is beneficial to reducing the inaccurate hypothermia judgment caused by the low accuracy of the deviation degree caused by using the same physiological parameter, and is beneficial to improving the accuracy of hypothermia detection.

[0168]

[0169] Figure 3 Figure 3 is a schematic diagram of the modules of a wearable device shown in the embodiments of the present disclosure. As shown, the wearable device includes: a data acquisition module 301, a baseline module 302, a thermal equilibrium evaluation module 303, and a hypothermia warning module 304. Among them, the data acquisition module 301 should at least include a skin temperature sensor and a heart rate sensor, and various physiological parameters of the measured object can be obtained by using the above sensors. In addition, the data acquisition module 301 of the wearable device can also include, such as an environmental temperature sensor, a positioning sensor, a barometric pressure sensor, etc., to obtain environmental information such as longitude and latitude, barometric pressure, and air flow rate of the measured object.

[0170] In the embodiments of the present disclosure, the baseline module 302 establishes personal baseline data for each user by obtaining historical sensor data in the data acquisition module 301, which is used for subsequent health abnormal state assessment (thermal balance assessment or hypothermia assessment); the thermal balance assessment module 303 is used to analyze the human body's heat loss situation, and the heat loss can be estimated through the characteristic changes of skin temperature sensors, heart rate sensors, etc.; the hypothermia warning module 304 first monitors and evaluates the thermal balance state of the human body, preliminarily determines the hypothermia risk, and then analyzes and evaluates based on the sensor data collected by the data acquisition module 301 and the user's personal baseline data of the baseline module 302 to further confirm whether the user has shown physiological signal manifestations related to hypothermia, and finally warns the hypothermia state of the human body. In addition, the hypothermia prediction module 304 can also combine environmental information such as longitude and latitude, air pressure, and air flow velocity obtained by the data acquisition module 301 to further improve the accuracy of hypothermia warning.

[0171] Figure 4 is a flowchart of a hypothermia detection method shown in the embodiments of the present disclosure. As Figure 4 shown, the hypothermia detection method includes the following steps:

[0172] S401. Whether the heat dissipation is less than the heat generation; if so, execute step S402; if not, re-execute step S401;

[0173] In this embodiment, the hypothermia detection device uses the thermal balance assessment module to judge whether the heat dissipation is less than the heat generation, so as to evaluate the thermal balance state of the user, that is, in the embodiments of the present disclosure, based on physiological parameters, the thermal balance state of the measured object is determined.

[0174] In this embodiment, the magnitudes of the heat generation and heat dissipation can be evaluated through parameters such as the user's skin temperature, skin impedance, and heart rate. If the user's heat dissipation is less than the heat generation, it indicates that the user is in a thermal imbalance state. If the user's heat dissipation is greater than or equal to the heat generation, it indicates that the user is in a thermal balance state.

[0175] S402. Whether the duration is greater than a preset duration; if so, execute step S403; if not, re-execute step S402;

[0176] In this embodiment, the hypothermia detection device judges the duration of the user's thermal imbalance state. When the duration of the thermal imbalance is greater than the preset duration, it determines whether the physiological parameters deviate from the baseline, that is, in the embodiments of the present disclosure, in response to the duration of the measured object being in a thermal imbalance state being greater than the preset imbalance duration, the deviation degree of the physiological parameters from the preset reference physiological parameters of the measured object is determined.

[0177] In this embodiment, the hypothermia detection device judges whether the physiological parameters deviate from the baseline when the thermal imbalance time is greater than the preset duration.

[0178] S403. Whether the physiological parameter deviates from the baseline; if so, execute step S404; if not, re - execute step S403;

[0179] In this embodiment, the hypothermia detection device determines whether the physiological parameter of the user deviates from the baseline (preset reference physiological parameter), that is, in the embodiments of the present disclosure, in response to the measured object being in a state of thermal imbalance, the deviation degree between the physiological parameter and the preset reference physiological parameter of the measured object is determined.

[0180] In this embodiment, the hypothermia detection device can determine the deviation degree of each physiological parameter from the baseline based on various physiological parameters and the baselines corresponding to the respective physiological parameters, and perform a weighted process on the deviation degrees of each physiological parameter from the baseline according to the preset weights of the respective physiological parameters to obtain the comprehensive deviation degree of all physiological parameters. In addition, parameters such as the mean value and standard deviation of the deviation degrees corresponding to each physiological parameter can also be calculated to comprehensively evaluate the degree of deviation of the user's physiological parameters from the baseline.

[0181] S404. (Hypothermia warning module) Conduct a hypothermia judgment.

[0182] In this embodiment, the hypothermia detection device conducts a hypothermia judgment, that is, in the embodiments of the present disclosure, based on the deviation degree of the physiological parameter, it is determined whether the measured object is in a hypothermia state.

[0183] In this embodiment, the hypothermia detection device can directly determine that the user is in a hypothermia state and issue a hypothermia warning when the deviation degree is large based on the deviation degree of the physiological parameter; it can also comprehensively judge whether the user is in a hypothermia state based on the deviation degree of the physiological parameter and the environmental data (such as environmental temperature, meteorological data, etc.) obtained by the data acquisition module.

[0184] In the embodiments of the present disclosure, the hypothermia detection device evaluates the thermal balance state of a user by using the user's physiological parameters. When the user is in a state of thermal imbalance, the deviation degree between the user's physiological parameters and the user's preset reference physiological parameters is further used to determine whether the user has hypothermia. On the one hand, the physiological parameters are easy to obtain. The method of judging the thermal balance state of the user based on the physiological parameters and then further performing hypothermia detection based on the state of thermal imbalance follows the pathogenesis of the human hypothermia phenomenon (the calorific value is lower than the heat dissipation for a long time) for detection, and the data acquisition and detection process of hypothermia detection are simple and effective. On the other hand, the hypothermia detection device introduces the user's preset reference physiological parameters, so that personalized reference data can be used for judging whether there is hypothermia, reducing the low accuracy of hypothermia judgment caused by individual physiological differences and improving the accuracy of hypothermia detection. In addition, the hypothermia detection device can also combine environmental parameters for hypothermia judgment, introduce the environmental parameters of the environment where the user is located, and combine the deviation degree of physiological parameters and environmental parameters for hypothermia judgment, considering the influence of environmental factors on human hypothermia, which is conducive to improving the accuracy of hypothermia detection.

[0185] Figure 5 is a diagram of a hypothermia detection device shown in the embodiments of the present disclosure, which consists of Figure 5 It can be seen that it includes:

[0186] An acquisition module 501, configured to acquire physiological parameters of a measured object;

[0187] A first determination module 502, configured to determine the thermal balance state of the measured object based on the physiological parameters;

[0188] A second determination module 503, configured to determine the deviation degree between the physiological parameters and the preset reference physiological parameters of the measured object in response to the measured object being in a state of thermal imbalance; wherein, the preset reference parameter is the standard parameter of the measured object in a state of thermal balance;

[0189] A third determination module 504, configured to determine whether the measured object is in a state of hypothermia based on the deviation degree of the physiological parameters.

[0190] In some embodiments, the physiological parameters include the body surface temperature, body surface impedance, and heart rate of the measured object; the first determination module 502 is further configured to determine that the measured object is in the state of thermal imbalance in response to the body surface temperature and / or the body surface impedance of the measured object showing a decreasing trend and the change degree of the heart rate of the measured object being less than a preset degree threshold.

[0191] In some embodiments, the acquisition module 501 is further configured to acquire environmental parameters of the environment where the measured object is located; the first determination module 502 is further configured to determine the thermal balance state of the measured object based on the physiological parameters and the environmental parameters.

[0192] In some embodiments, the third determination module 504 is further configured to determine whether the measured object is in the hypothermia state based on the deviation degree of the physiological parameter and the environmental parameter.

[0193] In some embodiments, the second determination module 503 is further configured to determine the deviation degree of the physiological parameter from the preset reference physiological parameter of the measured object in response to the duration of the measured object in the heat imbalance state being greater than a preset imbalance duration.

[0194] In some embodiments, the second determination module 503 is further configured to determine the difference between the physiological parameter within a preset duration and the preset reference physiological parameter in response to the measured object being in the heat imbalance state; and determine the deviation degree of the physiological parameter from the preset reference physiological parameter of the measured object based on the difference of the physiological parameter within the preset duration.

[0195] In some embodiments, the second determination module 503 is further configured to determine the fluctuation condition of the physiological parameter based on the physiological parameter within the preset duration; the third determination module 504 is further configured to determine whether the measured object is in the hypothermia state based on the deviation degree of the physiological parameter of the measured object and the fluctuation condition of the physiological parameter.

[0196] In some embodiments, the physiological parameter includes multiple types of physiological parameters, and the preset reference physiological parameter includes the preset reference physiological parameters of the multiple types; the second determination module 503 is further configured to determine the deviation degree of each type of physiological parameter from the preset reference physiological parameter of the measured object corresponding to the type; the third determination module 504 is further configured to determine whether the measured object is in the hypothermia state based on the deviation degrees of the physiological parameters of each type.

[0197] In some embodiments, the third determination module 504 is further configured to perform a weighting process based on the deviation degree of each type of physiological parameter and the preset weight of each type of physiological parameter to obtain the weighted deviation degree corresponding to all types of physiological parameters; and determine whether the measured object is in the hypothermia state based on the weighted deviation degree.

[0198] In some embodiments, the preset reference physiological parameter includes the preset reference physiological parameters of multiple time periods; the second determination module 503 is further configured to determine the deviation degree of the physiological parameter in the current time period according to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained; the third determination module 504 is further configured to determine whether the measured object is in the hypothermia state based on the deviation degree of the physiological parameter in the current time period.

[0199] In some embodiments, the obtaining module 501 is further configured to obtain historical physiological parameters of the object to be measured; determine target physiological parameters within the range of the thermal equilibrium state from the historical physiological parameters; and obtain the preset reference physiological parameters of the object to be measured based on the target physiological parameters.

[0200] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0201] Figure 6 It is a block diagram of an electronic device 800 shown in an embodiment of the present disclosure. For example, the electronic device 800 may be a mobile phone, a mobile computer, etc.

[0202] Referring to Figure 6 , the electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, and a communication component 816.

[0203] The processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, telephone call, data communication, camera operation, and recording operation. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0204] The memory 804 is configured to store various types of data to support the operation of the electronic device 800. Examples of these data include instructions for any application or method operating on the electronic device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk.

[0205] The power supply component 806 provides power for various components of the electronic device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

[0206] The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can not only sense the boundaries of the touch or swipe actions, but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the electronic device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.

[0207] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC) that is configured to receive external audio signals when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 810 further includes a speaker for outputting audio signals.

[0208] The I / O interface 812 provides an interface between the processing component 802 and a peripheral interface module, and the peripheral interface module can be a keyboard, a click wheel, buttons, etc. These buttons can include, but are not limited to: a home button, a volume button, a start button, and a lock button.

[0209] The sensor assembly 814 includes one or more sensors for providing a status assessment of various aspects for the electronic device 800. For example, the sensor assembly 814 can detect the on / off state of the electronic device 800, the relative positioning of components, such as the display and keypad of the electronic device 800. The sensor assembly 814 can also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. The sensor assembly 814 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0210] The communication component 816 is configured to facilitate communication between the electronic device 800 and other devices in a wired or wireless manner. The electronic device 800 can access a wireless network based on communication standards, such as Wi-Fi, 4G, or 5G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0211] In an exemplary embodiment, the electronic device 800 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described methods.

[0212] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, and the above instructions can be executed by a processor 820 of the electronic device 800 to complete the above-described methods. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0213] A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute the foregoing hypothermia detection method.

[0214] Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the art not disclosed herein. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims above.

[0215] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A hypothermia detection method, characterized in that, the method includes: Obtaining the physiological parameters of the object to be measured; Based on the physiological parameters, determining the thermal balance state of the object to be measured; In response to the object to be measured being in a thermal imbalance state, determining the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object to be measured; wherein, the preset reference parameters are the standard parameters of the object to be measured in the thermal balance state; Based on the degree of deviation of the physiological parameters, determining whether the object to be measured is in a hypothermia state.

2. The method according to claim 1, characterized in that, the physiological parameters include the body surface temperature, body surface impedance and heart rate of the object to be measured; The determining the thermal balance state of the object to be measured based on the physiological parameters includes: In response to the body surface temperature and / or the body surface impedance of the object to be measured showing a decreasing trend, and the degree of change in the heart rate of the object to be measured being less than a preset degree threshold, determining that the object to be measured is in the thermal imbalance state.

3. The method according to claim 1, characterized in that, the method further includes: Obtaining the environmental parameters of the environment where the object to be measured is located; The determining the thermal balance state of the object to be measured based on the physiological parameters includes: Based on the physiological parameters and the environmental parameters, determining the thermal balance state of the object to be measured.

4. The method according to claim 3, characterized in that, The determining whether the object to be measured is in a hypothermia state based on the degree of deviation of the physiological parameters includes: Based on the degree of deviation of the physiological parameters and the environmental parameters, determining whether the object to be measured is in the hypothermia state.

5. The method according to claim 1, characterized in that, The determining the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object to be measured in response to the object to be measured being in a thermal imbalance state includes: In response to the duration of the object to be measured being in the thermal imbalance state being greater than a preset imbalance duration, determining the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object to be measured.

6. The method according to claim 1, characterized in that, The determining the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object to be measured in response to the object to be measured being in a thermal imbalance state includes: In response to the object to be measured being in the thermal imbalance state, determining the difference between the physiological parameters within a preset duration and the preset reference physiological parameters; Based on the difference in the physiological parameters within the preset duration, determining the degree of deviation between the physiological parameters and the preset reference physiological parameters of the object to be measured.

7. The method according to claim 6, characterized in that, the method further includes: Based on the physiological parameters within the preset duration, determining the fluctuation situation of the physiological parameters; The determining whether the object to be measured is in a hypothermia state based on the degree of deviation of the physiological parameters includes: Based on the degree of deviation of the physiological parameters of the object to be measured and the fluctuation situation of the physiological parameters, determining whether the object to be measured is in the hypothermia state.

8. The method according to claim 1, characterized in that, The physiological parameters include various types of physiological parameters, and the preset reference physiological parameters include the preset reference physiological parameters of the various types; The determining the degree of deviation between the physiological parameter and the preset reference physiological parameter of the measured object includes: For each type of physiological parameter, determining the degree of deviation between the physiological parameter and the preset reference physiological parameter of the measured object corresponding to the type; The determining whether the measured object is in a hypothermic state based on the degree of deviation of the physiological parameter includes: Based on the degree of deviation of each type of physiological parameter, determining whether the measured object is in a hypothermic state.

9. The method according to claim 8, wherein, The determining whether the measured object is in a hypothermic state based on the degree of deviation of each type of physiological parameter includes: Performing a weighting process based on the degree of deviation of each type of physiological parameter and the preset weight of each type of physiological parameter to obtain the weighted degree of deviation corresponding to all types of physiological parameters; Based on the weighted degree of deviation, determining whether the measured object is in the hypothermic state.

10. The method according to claim 1, wherein, The preset reference physiological parameters include the preset reference physiological parameters of multiple time periods; The determining the degree of deviation between the physiological parameter and the preset reference physiological parameter of the measured object includes: According to the physiological parameter and the preset reference physiological parameter corresponding to the current time period when the physiological parameter is obtained, determining the degree of deviation of the physiological parameter in the current time period; The determining whether the measured object is in a hypothermic state based on the degree of deviation of the physiological parameter includes: Based on the degree of deviation of the physiological parameter in the current time period, determining whether the measured object is in a hypothermic state.

11. The method according to claim 1, wherein, The method further includes: Obtaining the historical physiological parameters of the measured object; Determining the target physiological parameters within the range of the thermal equilibrium state in the historical physiological parameters; Based on the target physiological parameters, obtaining the preset reference physiological parameters of the measured object.

12. A hypothermia detection device, wherein, The device includes: An acquisition module, configured to acquire the physiological parameters of a measured object; A first determination module, configured to determine the thermal equilibrium state of the measured object based on the physiological parameter; A second determination module, configured to, in response to the measured object being in a thermally unbalanced state, determine the degree of deviation between the physiological parameter and the preset reference physiological parameter of the measured object; wherein, the preset reference parameter is the standard parameter of the measured object in the thermally balanced state; A third determination module, configured to determine whether the measured object is in a hypothermic state based on the degree of deviation of the physiological parameter.

13. An electronic device, wherein, including: A processor; A memory for storing processor-executable instructions; wherein, the processor is configured to execute the hypothermia detection method according to any one of claims 1 to 11.

14. A computer-readable storage medium, wherein, When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the hypothermia detection method according to any one of claims 1 to 11.

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