CN115191956A - Core body temperature detection method, wearable device and computer-readable storage medium - Google Patents

Abstract

The embodiment of the invention discloses a core body temperature detection method, wearable equipment and a computer readable storage medium, wherein the method comprises the following steps: the wearable device can detect first core body temperature value of the current time point, then when the temperature difference value between the first core body temperature value and the second target core body temperature value obtained at the last time point is larger than the temperature threshold value, obtain the core body temperature value set corresponding to the first core body temperature value, construct the calibration function corresponding to the first core body temperature value according to the core body temperature value set, and finally calibrate the first core body temperature value by using the calibration function to obtain the first target core body temperature value. By implementing the embodiment of the application, the detection precision of the core body temperature value can be ensured.

Description

Core body temperature detection method, wearable device, and computer-readable storage medium

technical field

The present application relates to the field of computer technology, and in particular to a core body temperature detection method, a wearable device, and a computer-readable storage medium.

Background technique

The current method of detecting core body temperature is often that users use mercury thermometers, forehead thermometers, infrared heat detection, etc. to perform active detection, while active body temperature detection is mostly performed in specific scenarios (for example, the user already has a feeling of having a fever). , there are large limitations in time and space, resulting in poor timeliness of core body temperature detection.

In order to solve the timeliness problem of core body temperature detection, core body temperature detection based on wearable devices came into being. There is a large error in the detected core body temperature value.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a core body temperature detection method, a wearable device, and a computer-readable storage medium, which can improve the detection accuracy of the core body temperature value.

A first aspect of the embodiments of the present application discloses a core body temperature detection method, including:

Detect the first core body temperature value at the current time point;

When the temperature difference between the first core body temperature value and the second target core body temperature value obtained at a previous time point is greater than a temperature threshold, obtain a core body temperature value set corresponding to the first core body temperature value; The body temperature value set includes multiple target core body temperature values obtained continuously before the current time point, and the multiple target core body temperature values include the second target core body temperature value;

constructing a calibration function corresponding to the first core body temperature value according to the core body temperature value set;

The first core body temperature value is calibrated using the calibration function to obtain a first target core body temperature value.

As an optional implementation manner, in the first aspect of the embodiment of the present application, constructing a calibration function corresponding to the first core body temperature value according to the core body temperature value set includes:

According to the multiple target core body temperature values and the respective acquisition time points corresponding to the multiple target core body temperature values, a calibration function corresponding to the first core body temperature value is obtained by fitting.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the use of the calibration function to calibrate the first core body temperature value to obtain a first target core body temperature value includes:

Using the calibration function to obtain a predicted core body temperature value corresponding to the first core body temperature value;

A weighted summation is performed on the first core body temperature value and the predicted core body temperature value to obtain a first target core body temperature value.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the detection to obtain the first core body temperature value at the current time point includes:

Obtain at least one group of physiological parameters and at least one temperature parameter corresponding to the current time point; wherein, each group of physiological parameters includes heart rate, respiratory rate, and heart rate variability index;

A first core body temperature value is obtained according to the at least one set of physiological parameters, the at least one temperature parameter, and a preset core body temperature detection model.

As an optional implementation manner, in the first aspect of the embodiments of the present application, the method is applicable to a wearable device, the wearable device is provided with a heart rate sensor, and the at least one set of physiological parameters includes a first set of physiological parameters. Physiological parameters, obtaining the first group of physiological parameters corresponding to the current time point, including:

Obtaining a photoplethysmographic pulse signal through the heart rate sensor;

Separating the pulse wave signal and the respiratory wave signal from the photoplethysmography signal;

acquiring a first peak interval sequence corresponding to the pulse wave signal and a second peak interval sequence corresponding to the respiratory wave signal;

According to the first peak interval sequence and the second peak interval sequence, the first group of physiological parameters corresponding to the current time point is obtained.

As an optional implementation manner, in the first aspect of the embodiment of the present application, an ambient temperature sensor and an epidermal temperature sensor are provided on the wearable device, the at least one temperature parameter includes a first temperature parameter, and obtaining the The first temperature parameter corresponding to the current time point includes:

collecting a first temperature value through the ambient temperature sensor;

collecting a second temperature value through the skin temperature sensor;

According to the first temperature value and the second temperature value, the first temperature parameter corresponding to the current time point is obtained.

As an optional implementation manner, in the first aspect of the embodiment of the present application, when the number of the first temperature values is multiple and the number of the second temperature values is multiple, the According to the first temperature value and the second temperature value, the first temperature parameter corresponding to the current time point is obtained, including:

Obtain the temperature difference between the first temperature value and the second temperature value at the same acquisition time point;

According to the acquisition time point corresponding to each temperature difference, group each temperature difference to obtain the median corresponding to each group of temperature difference;

According to the median corresponding to each group of temperature difference values, the first temperature parameter corresponding to the current time point is obtained.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the obtaining of the first temperature parameter corresponding to the current time point according to the median corresponding to each group of temperature difference values includes:

averaging the medians corresponding to each group of temperature differences to obtain the first temperature parameter corresponding to the current time point;

and / or,

Kalman filtering is performed on the median corresponding to each group of temperature differences to obtain the first temperature parameter corresponding to the current time point.

As an optional implementation manner, in the first aspect of the embodiments of the present application, the at least one group of physiological parameters includes multiple groups of physiological parameters, the at least one temperature parameter includes multiple temperature parameters, and the at least one temperature parameter includes multiple temperature parameters. A set of physiological parameters, the at least one temperature parameter, and a preset core body temperature detection model to obtain a first core body temperature value, including:

From the plurality of temperature parameters, obtain temperature parameters corresponding to each group of physiological parameters;

Taking each group of physiological parameters and the temperature parameters corresponding to each group of physiological parameters as a group of detection parameters;

According to the preset core body temperature detection model, the core body temperature value corresponding to each set of detection parameters is obtained;

Extended Kalman filtering is performed on the core body temperature value corresponding to each set of detection parameters to obtain the first core body temperature value.

As an optional implementation manner, in the first aspect of the embodiment of the present application, after calibrating the first core body temperature value by using the calibration function to obtain a first target core body temperature value, the method further includes:

When the first target core body temperature value is greater than the temperature value threshold, outputting first prompt information indicating that the user's core body temperature is too high;

Sending second prompt information indicating that the core body temperature of the user is too high to the terminal device.

A second aspect of the embodiments of the present application discloses a wearable device, including:

an acquisition unit, used to detect and obtain the first core body temperature value at the current time point;

a processing unit, configured to obtain a core body temperature value set corresponding to the first core body temperature value when the temperature difference between the first core body temperature value and the second target core body temperature value obtained at a previous time point is greater than a temperature threshold; Wherein, the core body temperature value set includes multiple target core body temperature values obtained continuously before the current time point, and the multiple target core body temperature values include the second target core body temperature value; A body temperature value set is used to construct a calibration function corresponding to the first core body temperature value; and the first core body temperature value is calibrated by using the calibration function to obtain a first target core body temperature value.

A third aspect of the embodiments of the present application discloses a wearable device, including:

a memory in which executable program code is stored;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to execute any one of the methods of the first aspect of the present application.

A fourth aspect of the embodiments of the present application discloses a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program executes the first aspect of the present application when executed by a processor any of the methods.

A fifth aspect of the embodiments of the present application discloses a computer program product that, when the computer program product runs on a computer, causes the computer to execute any one of the methods of the first aspect.

A sixth aspect of the embodiments of the present application discloses an application publishing system, where the application publishing system is used to publish a computer program product, wherein when the computer program product runs on a computer, the computer is caused to execute any of the first aspect. a way.

Compared with the prior art, the embodiments of the present application have the following beneficial effects:

In the embodiment of the present invention, implementing the embodiment of the present application, the wearable device can first detect and obtain the first core body temperature value at the current time point, and then obtain the second target core body temperature value at the first core body temperature value and the previous time point. When the temperature difference is greater than the temperature threshold, obtain a core body temperature value set corresponding to the first core body temperature value, and construct a calibration function corresponding to the first core body temperature value according to the core body temperature value set, and finally use the calibration function to calibrate the first core body temperature. The body temperature value is obtained to obtain the first target core body temperature value. By implementing this method, when the temperature difference between the first core body temperature value detected at the current time point and the second target core body temperature value obtained at the previous time point is greater than the temperature threshold, the first core body temperature value corresponding to the The core body temperature value set constructs a calibration function corresponding to the first core body temperature value in real time, and then uses the calibration function to calibrate the first core body temperature value, thereby ensuring the detection accuracy of the core body temperature value.

Description of drawings

In order to explain the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings that are used in the description of the embodiments and the prior art. Obviously, the drawings in the following description are only some implementations of the present invention. For example, other drawings may also be obtained from these drawings.

FIG. 1 is a schematic diagram of a scenario disclosed in an embodiment of the present application;

2 is a schematic flowchart of a core body temperature detection method disclosed in an embodiment of the present application;

3 is a schematic flowchart of another core body temperature detection method disclosed in an embodiment of the present application;

4 is a schematic flowchart of a method for obtaining a first core body temperature value disclosed in an embodiment of the present application;

5 is a structural block diagram of a wearable device disclosed in an embodiment of the present application;

FIG. 6 is a structural block diagram of another wearable device disclosed in an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

It should be noted that the terms "comprising", "having" and any modifications thereof in the embodiments and drawings of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

The embodiments of the present application disclose a core body temperature detection method, a wearable device, and a computer-readable storage medium, which can improve the detection accuracy of the core body temperature value. A detailed description will be given below.

The core body temperature detection method disclosed in the embodiments of the present application can be applied to a wearable device, and the wearable device is a portable electronic device that can be directly worn on the user's body or integrated into the user's clothes or accessories. Wearable device is not only a hardware device, but also can realize powerful intelligent functions through software support, data interaction, and cloud interaction, such as: computing function, positioning function, alarm function, and can also be connected to mobile phones and various terminals. Wearable devices may include, but are not limited to, wrist-supported watches (such as watches, wrists, etc.), foot-supported shoes (such as shoes, socks, or other products worn on the legs), and head-supported products. Glass categories (such as glasses, helmets, headbands, etc.) and smart clothing, school bags, crutches, accessories and other non-mainstream product forms.

Please refer to FIG. 1. FIG. 1 is a schematic diagram of an application scenario of a core body temperature detection method disclosed in an embodiment of the present application. The schematic diagram shown in FIG. 1 may include a user's wrist 110 and a watch 120, the watch 120 is worn on the user's wrist 110, and the watch 120 may first detect the first core body temperature value corresponding to the user at the current time point, and then determine the first core body temperature When the body temperature value meets the calibration conditions, a calibration function corresponding to the first core body temperature value can be constructed based on the set of core body temperature values corresponding to the first core body temperature value, and finally the calibration function is used to calibrate the first core body temperature value, thereby improving the performance of the first core body temperature value. The detection accuracy of core body temperature value is improved.

Please refer to FIG. 2 , which is a schematic flowchart of a core body temperature detection method disclosed in an embodiment of the present application. include:

201. Detect and obtain the first core body temperature value at the current time point.

In this embodiment of the present application, the current time point may correspond to a preset time period, the preset time period may include one or more collection periods of detection parameters, and the wearable device may use the detection parameters collected during the preset time period Get the first core body temperature value. In some embodiments, the detection parameters collected during the preset time period may include at least one set of physiological parameters and at least one temperature parameter.

202. When the temperature difference between the first core body temperature value and the second target core body temperature value obtained at the previous time point is greater than a temperature threshold, obtain a core body temperature value set corresponding to the first core body temperature value.

The core body temperature value set includes multiple target core body temperature values obtained continuously before the current time point, and the multiple target core body temperature values include the second target core body temperature value. Exemplarily, the plurality of target core body temperature values may include 8 target core body temperature values.

If the second core body temperature value detected at the previous time point satisfies the calibration conditions, the second target core body temperature value may be obtained after calibration from the second core body temperature value detected at the previous time point. If the second core body temperature value does not meet the calibration condition, the second target core body temperature value is the second core body temperature value. The temperature threshold can be used to measure the degree of fluctuation between the first core body temperature value detected at the current time point and the second target core body temperature value obtained at the previous time point. The temperature difference between the first core body temperature and the second target core body temperature value is greater than the temperature threshold, indicating that the fluctuation degree between the first core body temperature value and the second target core body temperature value is large, and the first core body temperature value needs to be calibrated. The degree of fluctuation between the two target core body temperature values is small, and it is not necessary to calibrate the first core body temperature value. Exemplarily, the temperature threshold may be 0.3°C, 0.4°C, or 0.5°C, or the like.

203. Build a calibration function corresponding to the first core body temperature value according to the core body temperature value set.

In some embodiments, the wearable device constructs a calibration function corresponding to the first core body temperature value according to the core body temperature value set, which may include: the wearable device according to the multiple target core body temperature values and the multiple target core body temperature values corresponding to each At the acquisition time point, the calibration function corresponding to the first core body temperature value is obtained by fitting. It should be noted that, the acquisition time point of the second target core body temperature value may correspond to the previous acquisition cycle of the detection parameters.

In some embodiments, the wearable device fits a calibration function corresponding to the first core body temperature value according to the multiple target core body temperature values and the respective acquisition time points corresponding to the multiple target core body temperature values, and may include: wearable The device can obtain the serial number of each target core body temperature value according to the sequence of the acquisition time points corresponding to the multiple target core body temperature values; and, according to the multiple target core body temperature values and the corresponding multiple target core body temperature values. The serial number of , and the calibration function corresponding to the first core body temperature value is obtained by fitting. It should be noted that, in the target core body temperature value sequence, the earlier the acquisition time point is, the smaller the sequence number corresponding to the target core body temperature value is.

In some embodiments, multiple coordinate points may be obtained according to the multiple target core body temperature values and the corresponding serial numbers of the multiple target core body temperature values, and then a preset fitting algorithm is used to fit the multiple coordinate points. The calibration function corresponding to the first core body temperature value is obtained by combining. Optionally, the serial number corresponding to each target core body temperature value may be used as the abscissa of the coordinate point, and each target core body temperature value may be used as the ordinate of the coordinate point. It can be understood that, the calibration function obtained by fitting may be a polynomial function related to the core temperature value and the serial number. Exemplarily, the calibration function may be y=Ax ³ +Bx ² +Cx+D; wherein, x represents the serial number , y represents the core body temperature value. It is understandable that, if the multiple target core body temperature values are 8 target core body temperature values obtained at the nearest and consecutive previous 8 time points from the current time point, the serial number of the first target core body temperature value is 1. , and so on, the serial number of the 8th target core body temperature value is 8.

Optionally, the preset curve fitting algorithm may include, but is not limited to, the least squares method, cubic spline curve fitting, and the like.

204. Use a calibration function to calibrate the first core body temperature value to obtain a first target core body temperature value.

In some embodiments, the wearable device uses the calibration function to calibrate the first core body temperature value to obtain the first target core body temperature value, which may include: the wearable device uses the calibration function to obtain the predicted core body temperature value corresponding to the first core body temperature value; A weighted summation is performed on the first core body temperature value and the predicted core body temperature value to obtain a first target core body temperature value.

It can be understood that if the calibration function is obtained by fitting based on the 8 target core body temperature values obtained from the previous 8 consecutive time points closest to the current time point and the serial number corresponding to each target core body temperature value, then the current time point The serial number of 9 is 9. Bring 9 into the calibration function to obtain the predicted core body temperature value corresponding to the first core body temperature value.

The weight coefficient of the first core body temperature value may be M, and the weight coefficient of the predicted core body temperature value may be N, then the first target core body temperature value=M*first core body temperature value+predicted core body temperature value*N. Exemplarily, M is 0.8 and N is 0.2, then the first target core body temperature value=0.8*first core body temperature value+predicted core body temperature value*0.2.

By implementing this method, when the temperature difference between the first core body temperature value detected at the current time point and the second target core body temperature value obtained at the previous time point is greater than the temperature threshold, the first core body temperature value corresponding to the The core body temperature value set constructs a calibration function corresponding to the first core body temperature value in real time, and then uses the calibration function to calibrate the first core body temperature value, thereby ensuring the detection accuracy of the core body temperature value.

Please refer to FIG. 3 , which is a schematic flowchart of another core body temperature detection method disclosed in an embodiment of the present application. include:

301. Acquire at least one group of physiological parameters and at least one temperature parameter corresponding to the current time point.

In this embodiment of the present application, each group of physiological parameters may include heart rate, respiration rate, and heart rate variability. Heart rate refers to the number of times the heart beats per minute, respiration rate refers to the number of breaths per minute, and heart rate variability (HRV) refers to the change in the heartbeat cycle difference, which contains neurohumoral factors that regulate the cardiovascular system. information. It can be understood that the wearable device is provided with a first sensing device for detecting physiological parameters and a second sensing device for detecting temperature parameters, and the wearable device can pass the first sensing device within a preset time period corresponding to the current time point. The sensing device acquires at least one set of physiological parameters of the user wearing the wearable device, and acquires at least one temperature parameter corresponding to the wearable device through the second sensing device. Exemplarily, the preset time period may be 30 seconds. It can be understood that the acquisition period of the physiological parameter and the temperature parameter can be the same. The collection period of physiological parameters and temperature parameters may be less than or equal to the preset time period. If the collection period of physiological parameters and temperature parameters is equal to the preset time period, a group of physiological parameters is collected within the preset time period corresponding to the current time point. parameters and a temperature parameter. If the collection periods of the physiological parameters and the temperature parameters are both less than the preset time period, then multiple groups of physiological parameters and multiple temperature parameters are collected within the preset time period corresponding to the current time point. Exemplarily, if the acquisition period of the physiological parameters and the temperature parameters is once every 1 second, then 30 groups of physiological parameters and 30 temperature parameters can be obtained within 30 seconds.

In some embodiments, the first sensing device may be a heart rate sensor, the above-mentioned groups of physiological parameters may include a first group of physiological parameters, and the wearable device acquiring the first group of physiological parameters corresponding to the current time point may include: a heart rate sensor for acquiring a photoplethysmography signal; separating the pulse wave signal and the respiratory wave signal from the photoplethysmographic signal; acquiring a first peak interval sequence corresponding to the pulse wave signal, and a second peak interval sequence corresponding to the respiratory wave signal ; Obtain the first group of physiological parameters corresponding to the current time point according to the first peak interval sequence and the second peak interval sequence.

In some embodiments, the heart rate sensor may include a light-emitting diode (Light-Emitting Diode, LED) and a photodiode, and the wearable device obtains the photoplethysmographic signal through the heart rate sensor may include: the wearable device controls the light-emitting diode to emit light to the user's skin signal, and control the photodiode to obtain the reflected light signal, and then obtain the PPG (photoplethysmography) signal based on the reflected light signal. Optionally, the wearable device may perform Fourier transform on the PPG signal, and perform frequency domain analysis on the Fourier transformed PPG signal to obtain the pulse wave signal and the respiratory wave signal. The first peak interval sequence indicates the peak interval sequence of the pulse wave signal, and the second peak interval sequence indicates the peak interval sequence of the respiratory wave signal.

In some embodiments, the second sensing device may include an ambient temperature sensor and an epidermal temperature sensor, the above at least one temperature parameter includes a first temperature parameter, and the wearable device obtains the first temperature parameter corresponding to the current time point, which may include: a wearable device The device collects the first temperature value through the ambient temperature sensor; collects the second temperature value through the skin temperature sensor; and obtains the first temperature parameter corresponding to the current time point according to the first temperature value and the second temperature value. Among them, the ambient temperature sensor is used to measure the ambient temperature of the area where the wearable device is located, and the epidermal temperature sensor is used to measure the epidermal temperature of the user's skin.

In some embodiments, the collection frequencies of the ambient temperature sensor and the skin temperature sensor may be the same, that is, the number of the first temperature value and the number of the second temperature value is the same.

It should be noted that the collection period of the first/second temperature value is less than or equal to the collection period of the first temperature parameter. It can be understood that if the collection period of the first/second temperature value is equal to the collection period of the first temperature parameter, the The number of the first temperature value and the number of the second temperature value is one, and if the collection period of the first/second temperature value is less than the collection period of the first temperature parameter, the number of the first temperature value and the second temperature value are both large. indivual. Exemplarily, if the collection frequency of the temperature parameter can be 1 time per second, and the collection period of the first/second temperature value is 1 time in 20 milliseconds, then 50 first temperature values and 50 first temperature values can be collected within 1 second. Two temperature values.

In some embodiments, when the number of the first temperature value is one and the number of the second temperature value is one, the first temperature parameter can be obtained by making a difference between the first temperature value and the second temperature value.

In some embodiments, when the number of the first temperature value is multiple and the number of the second temperature value is multiple, the wearable device obtains the corresponding value of the current time point according to the first temperature value and the second temperature value The first temperature parameter may include: acquiring the temperature difference between the first temperature value and the second temperature value at the same collection time point; grouping each temperature difference value according to the collection time point corresponding to each temperature difference value, The median corresponding to each group of temperature differences is obtained; according to the median corresponding to each group of temperature differences, the first temperature parameter corresponding to the current time point is obtained.

It can be understood that, when the number of the first temperature value and the number of the second temperature value are multiple, the number of the second temperature value is also multiple. In this embodiment of the present application, the collection time point corresponding to each temperature difference value may be the collection time point of the first temperature value/the second temperature value. Exemplarily, if the collection time point of the first temperature value and the second temperature value is t1, the collection time point corresponding to the temperature difference between the first temperature value and the second temperature value is t1.

In some embodiments, the wearable device groups each temperature difference value according to the collection time point corresponding to each temperature difference value, which may include: the wearable device groups each temperature difference value according to the collection time point corresponding to each temperature difference value. Sorting is performed to obtain the sorted temperature difference sequence; wherein, in the temperature difference sequence, the earlier the corresponding acquisition time point is, the more the temperature difference is in the front of the temperature difference sequence, and vice versa, it is at the temperature After the difference sequence; and, according to a preset number of groups, group each temperature difference in the temperature difference sequence. It should be noted that the preset number of groups is related to the number of temperature difference values included in each group of temperature difference values.

In some embodiments, if the number of temperature difference values in the temperature difference value sequence is an even number, the wearable device groups each temperature difference value in the temperature difference value sequence according to a preset number of groups, which may include: The wearable device divides the temperature difference values in the temperature difference value sequence into equal parts according to the preset number of groups. Exemplarily, if the number of temperature difference values in the sequence of temperature difference values is 50, and the number of groups is 5, then a group of temperature difference values includes 10 temperature difference values.

In some embodiments, if the number of temperature difference values in the temperature difference value sequence is an odd number, the wearable device groups each temperature difference value in the temperature difference value sequence according to a preset number of groups, which may include: The wearable device performs an equal-value filling operation on the temperature difference sequence, so that the filled temperature difference sequence includes an even number of temperature difference values; The difference is divided equally. Further, performing an equal-value filling operation on the temperature difference sequence by the wearable device may include: the wearable device filling the front/back of the first temperature difference in the temperature difference sequence with a temperature equal to the first temperature difference. Delta; alternatively, fill in a temperature difference equal to the last temperature difference before/after the last temperature difference in a sequence of temperature differences.

Further, the wearable device obtains the first temperature parameter corresponding to the current time point according to the median corresponding to each group of temperature differences, which may include: averaging the medians corresponding to each group of temperature differences to obtain the current time point. and/or performing Kalman filtering on the median corresponding to each group of temperature differences to obtain the first temperature parameter corresponding to the current time point.

It can be understood that a Kalman filter is preset on the wearable device, and the wearable device can perform Kalman filtering on the median corresponding to each group of temperature differences through the Kalman filter to obtain the first corresponding to the current time point. a temperature parameter.

302. Obtain a first core body temperature value according to the at least one set of physiological parameters, the at least one temperature parameter, and a preset core body temperature detection model.

303. When the temperature difference between the first core body temperature value and the second target core body temperature value obtained at the previous time point is greater than the temperature threshold, obtain a core body temperature value set corresponding to the first core body temperature value.

304. Build a calibration function corresponding to the first core body temperature value according to the core body temperature value set.

305. Use a calibration function to calibrate the first core body temperature value to obtain a first target core body temperature value.

For the detailed description of steps 303 to 305 , please refer to the introduction of steps 202 to 204 shown in FIG. 2 , which will not be repeated here.

In some embodiments, if the at least one set of physiological parameters includes multiple sets of physiological parameters, and the at least one temperature parameter includes multiple temperature parameters, please refer to FIG. 4 . FIG. A schematic diagram of the process of body temperature value, including the following steps:

410. The wearable device acquires a temperature parameter corresponding to each group of physiological parameters from a plurality of temperature parameters.

In this embodiment of the present application, since the collection period of the physiological parameter may be the same as the collection period of the temperature parameter, the wearable device may, according to the collection time point of the physiological parameter and the collection time point corresponding to the temperature parameter, select from multiple temperature parameters , to obtain the temperature parameters corresponding to each group of physiological parameters.

420. Use each group of physiological parameters and the temperature parameters corresponding to each group of physiological parameters as a group of detection parameters.

It can be understood that the physiological parameters and temperature parameters at the same acquisition time point can be used as a set of detection parameters. Exemplarily, if the preset time period corresponding to the current time point is 30 seconds, then 30 sets of detection parameters can be collected within the preset time period.

430. Obtain a core body temperature value corresponding to each set of detection parameters according to a preset core body temperature detection model.

It should be noted that the preset core body temperature detection model may be a polynomial related to physiological parameters and temperature parameters, and the polynomial may be obtained by training and fitting of multiple sets of experimental physiological parameters and multiple experimental temperature parameters. Each set of detection parameters is brought into the preset core body temperature detection model to obtain the corresponding core body temperature value. In this way, 30 core body temperature values can be obtained based on the 30 sets of detection parameters.

In some embodiments, after step 430 is performed, the wearable device may also average the core body temperature values corresponding to each set of detection parameters to obtain the first core body temperature value.

440. Perform extended Kalman filtering on the core body temperature values corresponding to each set of detection parameters to obtain a first core body temperature value.

In some embodiments, an extended Kalman filter is preset on the wearable device, and the wearable device can perform reliability calculation on each core body temperature value through the extended Kalman filter, and obtain the confidence value of each core body temperature value. For reliability, the first core body temperature value is obtained according to the core body temperature value whose reliability is greater than the reliability threshold.

Optionally, obtaining the first core body temperature value according to the core body temperature value whose reliability is greater than the reliability threshold may include, but is not limited to, the following methods:

Mode 1: Average the core body temperature values whose reliability is greater than the reliability threshold to obtain the first core body temperature value.

Mode 2: The median of the core body temperature values whose reliability is greater than the reliability threshold is used as the first core body temperature value.

In some embodiments, after step 305, when the first target core body temperature value is greater than the temperature value threshold, the wearable device may further output first prompt information indicating that the user's core body temperature is too high; and, communicate with the wearable device The connected terminal device sends second prompt information indicating that the user's core body temperature is too high. The temperature value threshold is an index used to reflect whether the first target core body temperature value is too high. When the first target core body temperature value is greater than the temperature value threshold, it means that the first target core body temperature value is too high, otherwise, it means that the first target core body temperature value is too high. A target core body temperature was normal. Exemplarily, the temperature value threshold may be 36°C.

Optionally, the output mode of the first prompt information may be one or a combination of text, indicator lights, and icons. It is understandable that, if the output mode of the first prompt information is text, the wearable device can control it to display text information on the display screen of the wearable device when the screen is on (for example, "Your core body temperature is 38. ℃, fever”); if the output method of the first prompt information is an indicator light, the wearable device can control the indicator light to light up in a preset color (for example, a conspicuous color such as red, yellow or green); if the first prompt information The output method of is an icon, and the wearable device can control it to display an icon (for example, a thermometer-shaped icon) on the display screen of the wearable device indicating that the core body temperature is high when the screen is on.

In some embodiments, the second prompt information may be text information. Exemplarily, the second prompt information may be "the core body temperature of the user of the wearable device is 38°C, and he has a fever". If the user wearing the wearable device is a child and the user of the terminal device is the parent, when the wearable device detects that the child's core body temperature is high, it can send a prompt indicating that the child's core body temperature is too high to the parent's terminal device information, so that parents can take immediate treatment measures to help ensure the health of their children.

In some embodiments, the wearable device may also send the first target core body temperature value to a terminal device in communication with the wearable device. If the user wearing the wearable device is a child and the user of the terminal device is the parent, the wearable device can instantly send the child's first target core body temperature value to the parent's terminal device, so that the parent can monitor the child's core body temperature in real time, which is helpful for To further ensure the child's physical health.

By implementing this method, when the temperature difference between the first core body temperature value detected at the current time point and the second target core body temperature value obtained at the previous time point is greater than the temperature threshold, the first core body temperature value corresponding to the The core body temperature value set constructs a calibration function corresponding to the first core body temperature value in real time, and then uses the calibration function to calibrate the first core body temperature value, thereby ensuring the detection accuracy of the core body temperature value; in addition, since the preset core body temperature detection model consists of a large number of The sample training is obtained, and the reliability is strong. Therefore, based on the physiological parameters, temperature parameters and the core body temperature detection model, an effective first core body temperature value can be obtained, which helps to further improve the detection accuracy of the core body temperature value.

Please refer to FIG. 5 , which is a structural block diagram of a wearable device disclosed in an embodiment of the present application. As shown in FIG. 5 , the wearable device may include an acquisition unit 501 and a processing unit 502, wherein:

an obtaining unit 501, configured to detect and obtain the first core body temperature value at the current time point;

The processing unit 502 is configured to obtain a set of core body temperature values corresponding to the first core body temperature value when the temperature difference between the first core body temperature value and the second target core body temperature value obtained at a previous time point is greater than a temperature threshold; The body temperature value set includes multiple target core body temperature values obtained continuously before the current time point, and the multiple target core body temperature values include a second target core body temperature value; and, according to the core body temperature value set, a calibration corresponding to the first core body temperature value is constructed and, using the calibration function to calibrate the first core body temperature value to obtain a first target core body temperature value.

In some embodiments, the manner in which the processing unit 502 is configured to construct the calibration function corresponding to the first core body temperature value according to the core body temperature value set may specifically include: the processing unit 502 is configured to, according to the multiple target core body temperature values and the multiple At the acquisition time points corresponding to each of the target core body temperature values, a calibration function corresponding to the first core body temperature value is obtained by fitting.

In some embodiments, the processing unit 502 is configured to use the calibration function to calibrate the first core body temperature value, and the method for obtaining the first target core body temperature value may specifically include: the processing unit 502 is configured to use the calibration function to obtain the first core body temperature value. the corresponding predicted core body temperature value; and, performing a weighted summation on the first core body temperature value and the predicted core body temperature value to obtain a first target core body temperature value.

In some embodiments, the method used by the obtaining unit 501 to detect and obtain the first core body temperature value at the current time point may specifically include: the obtaining unit 501 is configured to obtain at least one set of physiological parameters and at least one temperature parameter corresponding to the current time point wherein, each group of physiological parameters includes heart rate, respiration rate and heart rate variability index; and, according to the at least one group of physiological parameters, the at least one temperature parameter and the preset core body temperature detection model, obtain the first core body temperature value.

In some embodiments, the wearable device may be provided with a heart rate sensor, the above-mentioned at least one group of physiological parameters includes a first group of physiological parameters, and the manner in which the obtaining unit 501 is used to obtain the first group of physiological parameters corresponding to the current time point may specifically be It includes: an acquisition unit 501, configured to acquire a photoplethysmographic pulse signal through a heart rate sensor; separate a pulse wave signal and a respiratory wave signal from the photoplethysmographic signal; acquire a first peak interval sequence and a respiratory wave signal corresponding to the pulse wave signal The corresponding second peak interval sequence; according to the first peak interval sequence and the second peak interval sequence, the first group of physiological parameters corresponding to the current time point are obtained.

In some embodiments, the wearable device may be provided with an ambient temperature sensor and an epidermal temperature sensor, the above-mentioned at least one temperature parameter includes a first temperature parameter, and the method used by the obtaining unit 501 to obtain the first temperature parameter corresponding to the current time point Specifically, it may include: an acquisition unit 501 for collecting a first temperature value through an ambient temperature sensor; collecting a second temperature value through an epidermal temperature sensor; obtaining a first temperature corresponding to the current time point according to the first temperature value and the second temperature value parameter.

In some embodiments, when there are multiple first temperature values and multiple second temperature values, the obtaining unit 501 is configured to obtain the current time according to the first temperature value and the second temperature value The method of the first temperature parameter corresponding to the point may specifically include: an obtaining unit 501, configured to obtain the temperature difference between the first temperature value and the second temperature value at the same collection time point; according to the collection time corresponding to each temperature difference point, group each temperature difference value, and obtain the median corresponding to each group of temperature difference values; according to the median corresponding to each group of temperature difference values, obtain the first temperature parameter corresponding to the current time point.

In some embodiments, the manner in which the obtaining unit 501 is configured to obtain the first temperature parameter corresponding to the current time point according to the median corresponding to each group of temperature difference values may specifically include: The median corresponding to the value is averaged to obtain the first temperature parameter corresponding to the current time point; and/or, Kalman filtering is performed on the median corresponding to each group of temperature differences to obtain the first temperature parameter corresponding to the current time point. .

In some embodiments, the at least one set of physiological parameters includes multiple sets of physiological parameters, the at least one temperature parameter includes multiple temperature parameters, and the obtaining unit 501 is configured to obtain the at least one set of physiological parameters, the at least one temperature parameter, and the preset The method of obtaining the first core body temperature value may specifically include: an obtaining unit 501, configured to obtain a temperature parameter corresponding to each group of physiological parameters from a plurality of temperature parameters; The temperature parameters corresponding to the set of physiological parameters are used as a set of detection parameters; according to the preset core body temperature detection model, the core body temperature value corresponding to each set of detection parameters is obtained; extended Kalman filtering is performed on the core body temperature value corresponding to each set of detection parameters to obtain The first core body temperature value.

In some embodiments, the processing unit 502 is further configured to, after calibrating the first core body temperature value by using the calibration function to obtain the first target core body temperature value, when the first target core body temperature value is greater than the temperature value threshold, output an indication of the user's core body temperature first prompting information indicating that the body temperature is too high; and sending second prompting information indicating that the user's core body temperature is too high to the terminal device.

Please refer to FIG. 6, which is a structural block diagram of an electronic device disclosed in an embodiment of the present application. It includes: a processor 601 and a memory 602 .

The processor 601 has the following functions:

Detect the first core body temperature value at the current time point;

When the temperature difference between the first core body temperature value and the second target core body temperature value obtained at the previous time point is greater than the temperature threshold, obtain a core body temperature value set corresponding to the first core body temperature value; wherein the core body temperature value set includes the current time Multiple target core body temperature values obtained continuously before the point, and the multiple target core body temperature values include the second target core body temperature value;

According to the core body temperature value set, construct a calibration function corresponding to the first core body temperature value;

Using the calibration function to calibrate the first core body temperature value, the first target core body temperature value is obtained.

Optionally, in some embodiments, the processor 601 further has the following functions:

According to the multiple target core body temperature values and the respective acquisition time points corresponding to the multiple target core body temperature values, a calibration function corresponding to the first core body temperature value is obtained by fitting.

Optionally, in some embodiments, the processor 601 further has the following functions:

Using the calibration function, the predicted core body temperature value corresponding to the first core body temperature value is obtained;

A weighted summation is performed on the first core body temperature value and the predicted core body temperature value to obtain a first target core body temperature value.

Optionally, in some embodiments, the processor 601 further has the following functions:

Obtain at least one group of physiological parameters and at least one temperature parameter corresponding to the current time point; wherein, each group of physiological parameters includes heart rate, respiratory rate, and heart rate variability index;

The first core body temperature value is obtained according to the at least one set of physiological parameters, the at least one temperature parameter, and a preset core body temperature detection model.

Optionally, in some embodiments, the processor 601 further has the following functions:

The wearable device may be provided with a heart rate sensor, and the at least one group of physiological parameters includes the first group of physiological parameters;

Obtain the photoplethysmography signal through the heart rate sensor;

separating the pulse wave signal and the respiratory wave signal from the photoplethysmography signal;

acquiring a first peak interval sequence corresponding to the pulse wave signal and a second peak interval sequence corresponding to the respiratory wave signal;

According to the first peak interval sequence and the second peak interval sequence, the first group of physiological parameters corresponding to the current time point is obtained.

Optionally, in some embodiments, the processor 601 further has the following functions:

The wearable device may be provided with an ambient temperature sensor and an epidermal temperature sensor, and the at least one temperature parameter includes a first temperature parameter;

The first temperature value is collected by the ambient temperature sensor; the second temperature value is collected by the skin temperature sensor;

According to the first temperature value and the second temperature value, the first temperature parameter corresponding to the current time point is obtained.

Optionally, in some embodiments, the processor 601 further has the following functions:

When the number of the first temperature values is multiple and the number of the second temperature values is multiple, acquiring the temperature difference between the first temperature value and the second temperature value at the same collection time point;

According to the acquisition time point corresponding to each temperature difference, group each temperature difference to obtain the median corresponding to each group of temperature difference;

According to the median corresponding to each group of temperature differences, the first temperature parameter corresponding to the current time point is obtained.

Optionally, in some embodiments, the processor 601 further has the following functions:

Average the medians corresponding to the temperature differences of each group to obtain the first temperature parameter corresponding to the current time point;

and / or,

Kalman filtering is performed on the median corresponding to each group of temperature differences to obtain the first temperature parameter corresponding to the current time point.

Optionally, in some embodiments, the processor 601 further has the following functions:

The at least one group of physiological parameters includes multiple groups of physiological parameters, and the at least one temperature parameter includes multiple temperature parameters;

Obtain the temperature parameters corresponding to each group of physiological parameters from multiple temperature parameters;

Taking each group of physiological parameters and the temperature parameters corresponding to each group of physiological parameters as a group of detection parameters;

According to the preset core body temperature detection model, the core body temperature value corresponding to each set of detection parameters is obtained;

Extended Kalman filtering is performed on the core body temperature value corresponding to each set of detection parameters to obtain the first core body temperature value.

Optionally, in some embodiments, the processor 601 further has the following functions:

After using the calibration function to calibrate the first core body temperature value to obtain the first target core body temperature value, when the first target core body temperature value is greater than the temperature value threshold, output first prompt information indicating that the user's core body temperature is too high; Sending second prompt information indicating that the core body temperature of the user is too high.

Memory 602 has the following functions:

The processing procedures and processing results of the processor 601 are stored.

The embodiment of the present application discloses a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, implements any one of the foregoing method embodiments.

The embodiment of the present application discloses a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute any one of the above method embodiments.

The embodiment of the present application discloses an application publishing platform, wherein the application publishing platform is used for publishing a computer program product, wherein when the computer program product runs on a computer, the computer is made to execute any one of the above method embodiments.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product.

The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server, or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be stored by a computer, or a data storage device such as a server, data center, etc., which includes one or more available media integrated. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), among others.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above may refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

In the several embodiments provided by the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program codes .

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (13)

1. A core body temperature detection method is characterized by comprising the following steps:

detecting to obtain a first core body temperature value of the current time point;

when the temperature difference value between the first core body temperature value and a second target core body temperature value obtained at the last time point is greater than a temperature threshold value, obtaining a core body temperature value set corresponding to the first core body temperature value; wherein the set of core body temperature values includes a plurality of target core body temperature values that are continuously obtained prior to the current time point, and the plurality of target core body temperature values includes the second target core body temperature value;

according to the core body temperature value set, constructing a calibration function corresponding to the first core body temperature value;

and calibrating the first core body temperature value by using the calibration function to obtain a first target core body temperature value.

2. The method of claim 1, wherein said constructing a calibration function corresponding to said first core body temperature value from said set of core body temperature values comprises:

and fitting to obtain a calibration function corresponding to the first core body temperature value according to the plurality of target core body temperature values and the acquisition time points corresponding to the plurality of target core body temperature values.

3. The method of claim 2, wherein calibrating the first core body temperature value using the calibration function to obtain a first target core body temperature value comprises:

obtaining a predicted core body temperature value corresponding to the first core body temperature value by using the calibration function;

and carrying out weighted summation on the first core body temperature value and the predicted core body temperature value to obtain a first target core body temperature value.

4. The method according to any one of claims 1-3, wherein the detecting obtains a first core body temperature value at a current time point, comprising:

acquiring at least one group of physiological parameters and at least one temperature parameter corresponding to the current time point; wherein each group of physiological parameters comprises a heart rate, a respiration rate and a heart rate variability index;

and obtaining a first core body temperature value according to the at least one group of physiological parameters, the at least one temperature parameter and a preset core body temperature detection model.

5. The method according to claim 4, wherein the method is applied to a wearable device, a heart rate sensor is disposed on the wearable device, the at least one set of physiological parameters includes a first set of physiological parameters, and the obtaining the first set of physiological parameters corresponding to the current time point comprises:

acquiring a photoplethysmographic pulse signal through the heart rate sensor;

separating a pulse wave signal and a respiratory wave signal from the photoplethysmographic pulse signal;

acquiring a first peak interval sequence corresponding to the pulse wave signal and a second peak interval sequence corresponding to the respiratory wave signal;

and obtaining the first group of physiological parameters corresponding to the current time point according to the first peak interval sequence and the second peak interval sequence.

6. The method of claim 5, wherein an ambient temperature sensor and a skin temperature sensor are disposed on the wearable device, wherein the at least one temperature parameter comprises a first temperature parameter, and wherein obtaining the first temperature parameter corresponding to the current time point comprises:

collecting a first temperature value by the ambient temperature sensor;

acquiring a second temperature value through the skin temperature sensor;

and obtaining the first temperature parameter corresponding to the current time point according to the first temperature value and the second temperature value.

7. The method of claim 6, wherein when the number of the first temperature values is multiple and the number of the second temperature values is multiple, the obtaining the first temperature parameter corresponding to the current time point according to the first temperature value and the second temperature value comprises:

acquiring a temperature difference value of a first temperature value and a second temperature value at the same acquisition time point;

grouping the temperature difference values according to the acquisition time points corresponding to the temperature difference values to obtain median values corresponding to the temperature difference values of each group;

and obtaining the first temperature parameter corresponding to the current time point according to the median corresponding to each group of temperature difference values.

8. The method according to claim 7, wherein obtaining the first temperature parameter corresponding to the current time point according to the median corresponding to each group of temperature difference values comprises:

averaging the median corresponding to each group of temperature difference values to obtain the first temperature parameter corresponding to the current time point;

and/or the presence of a gas in the gas,

and performing Kalman filtering on the median corresponding to each group of temperature difference values to obtain the first temperature parameter corresponding to the current time point.

9. The method according to claim 4, wherein the at least one set of physiological parameters comprises a plurality of sets of physiological parameters, the at least one temperature parameter comprises a plurality of temperature parameters, and the obtaining a first core body temperature value according to the at least one set of physiological parameters, the at least one temperature parameter and a preset core body temperature detection model comprises:

acquiring temperature parameters corresponding to each group of physiological parameters from the plurality of temperature parameters;

taking each group of physiological parameters and the temperature parameters corresponding to the physiological parameters as a group of detection parameters;

obtaining a core body temperature value corresponding to each group of detection parameters according to a preset core body temperature detection model;

and performing extended Kalman filtering on the core body temperature value corresponding to each group of detection parameters to obtain a first core body temperature value.

10. The method of claim 1, wherein after calibrating the first core body temperature value using the calibration function to obtain a first target core body temperature value, the method further comprises:

when the first target core body temperature value is larger than the temperature value threshold value, outputting first prompt information indicating that the core body temperature of the user is overhigh;

and sending second prompt information indicating the core body temperature of the user is overhigh to the terminal equipment.

11. A wearable device, comprising:

the acquisition unit is used for detecting and obtaining a first core body temperature value of the current time point;

the processing unit is used for acquiring a core body temperature value set corresponding to the first core body temperature value when the temperature difference value between the first core body temperature value and a second target core body temperature value acquired at the last time point is greater than a temperature threshold value; wherein the set of core body temperature values includes a plurality of target core body temperature values that are continuously obtained prior to the current time point, and the plurality of target core body temperature values includes the second target core body temperature value; according to the core body temperature value set, a calibration function corresponding to the first core body temperature value is constructed; and calibrating the first core body temperature value by using the calibration function to obtain a first target core body temperature value.

12. A wearable device, comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to perform the method of any of claims 1-10.

13. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method according to any one of claims 1-10.

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