A method for detecting wearing of a wearable device and the wearable device

Abstract

The application provides a wearable device wearing detection method and a wearable device. The wearable device comprises a main body, a wristband and a blood pressure detection assembly. The blood pressure detection assembly comprises an air bag and an air pump. The method comprises the following steps: detecting that a preset condition is met, and inflating the air bag with gas; detecting a volume expansion rate of the air bag; determining a wearing detection result of the wearable device according to the volume expansion rate; and displaying a first interface, wherein the first interface comprises the wearing detection result. In the embodiment of the application, the wearable device can determine whether the wearing is normal by detecting the volume expansion rate of the air bag, thereby ensuring the accuracy of the physiological parameter measurement result, and without increasing hardware, no additional cost is increased.

Description

Technical Field

[0001] This application relates to the field of wearable devices, and more specifically, to a method for detecting wearability of a wearable device and a wearable device. Background Technology

[0002] Today, people are paying increasing attention to their own and their families' health, making blood pressure, heart rate, and blood oxygen saturation measurements particularly important. With technological advancements, wearable devices (such as smartwatches and smart bracelets) are increasingly integrating these functions, allowing users to perform measurements anytime, anywhere. However, wearing the device too tightly or too loosely can affect its accuracy. Therefore, determining whether wearable devices are being worn correctly has become a pressing technical challenge. Summary of the Invention

[0003] This application provides a method for detecting wearability of a wearable device and a wearable device in general. The method can determine whether the wear is normal by detecting the expansion rate of the airbag, which ensures the accuracy of the physiological parameter measurement results and does not require additional hardware or incur additional costs.

[0004] In a first aspect, a method for detecting wearability of a wearable device is provided. The wearable device includes a main body, a wristband, and a blood pressure detection component. The blood pressure detection component includes an airbag and an air pump. The method includes: detecting that a preset condition is met, inflating the airbag with gas, wherein the inflation time is T seconds, T>0; detecting the volume expansion rate of the airbag within the T seconds; determining the wearability detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds; and displaying a first interface, the first interface including the wearability detection result.

[0005] In this embodiment, the wearable device can determine whether the wear is normal by detecting the airbag's volume expansion rate, ensuring the accuracy of physiological parameter measurement results, without adding hardware or incurring additional costs.

[0006] In conjunction with the first aspect, in some implementations of the first aspect, before determining that the preset conditions are met and inflating the airbag with gas, the method further includes: detecting the performance of the air pump and determining a first weighting parameter based on the performance of the air pump; determining the wear detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: determining the wear detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds and the first weighting parameter.

[0007] In this embodiment, the wearable device can first evaluate the performance of the air pump, and then determine whether the wear is normal based on the performance of the air pump and the volume expansion rate of the airbag. This ensures the accuracy of the physiological parameter measurement results, and does not require additional hardware or incur additional costs.

[0008] In conjunction with the first aspect, in some implementations of the first aspect, before inflating the airbag with gas as the preset conditions are met, the method further includes: determining the user's wearing posture and determining a second weighting parameter based on the wearing posture; determining the wearing detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: determining the wearing detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds, the first weighting parameter, and the second weighting parameter.

[0009] In this embodiment, the wearable device can first detect the user's wearing posture, and then determine whether the wearing is normal based on the user's wearing posture and the airbag's volume expansion rate, ensuring the accuracy of physiological parameter measurement results, without adding hardware and without increasing additional costs.

[0010] In conjunction with the first aspect, in some implementations of the first aspect, the detection of the performance of the air pump includes: inflating the airbag with gas; deflating the airbag when the pressure reaches a first pressure; and determining the performance of the air pump based on the deflating rate.

[0011] In conjunction with the first aspect, in some implementations of the first aspect, detecting the performance of the air pump includes: inflating the airbag with gas, wherein the duty cycle of the air pump is a first duty cycle; determining the inflation time of the gas when the pressure of the airbag reaches a second pressure; and determining the performance of the air pump based on the inflation time.

[0012] In conjunction with the first aspect, in some implementations of the first aspect, before determining that the preset conditions are met and inflating the airbag with gas, the method further includes: determining the user's wearing posture and determining a second weighting parameter based on the wearing posture; determining the wearing detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: determining the wearing detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds and the second weighting parameter.

[0013] In conjunction with the first aspect, in certain implementations of the first aspect, detecting the volume expansion rate of the airbag within the T seconds includes: determining the volume expansion rate of the airbag within the T seconds according to the following formula.

[0014]

[0015]

[0016] Where P0 is the pressure inside the airbag when it is not inflated, P t Let W'(t) be the pressure inside the airbag at time t when it is inflated, W'(t) be the difference between the inflation rate and the deflation rate at time t, n'0 be the amount of gas, ε be the volume expansion rate of the airbag within T seconds, and T be the inflation time of the airbag, where T > 0.

[0017] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: determining adjustment prompt information based on the volume expansion rate of the airbag within the T seconds; and displaying the adjustment prompt information on the first interface.

[0018] In this embodiment, the wearable device can display adjustment prompts based on the rate of volume expansion. These prompts can guide the user on how to adjust the device and the degree of adjustment, allowing for more precise adjustment of tightness and ensuring the accuracy of physiological parameter measurements. This is achieved without adding hardware or incurring additional costs.

[0019] In conjunction with the first aspect, in certain implementations of the first aspect, determining the wearing result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: determining that the wear is too loose when the volume expansion rate of the airbag within the T seconds is greater than a first threshold; determining that the wear is too tight when the volume expansion rate of the airbag within the T seconds is less than a second threshold; and determining that the wear is normal when the volume expansion rate of the airbag within the T seconds is greater than or equal to the second threshold and less than or equal to the first threshold.

[0020] In conjunction with the first aspect, in certain implementations of the first aspect, detecting that a preset condition is met includes: detecting that a user triggers an operation to measure physiological parameters; and / or detecting that the user triggers an operation to detect wearing of a wearable device; and / or detecting that the difference between the measured physiological parameter value and the average value of the physiological parameter values ​​measured in the first time period is greater than a third threshold.

[0021] In a second aspect, a wearable device is provided, the wearable device including one or more processors; one or more memories; a blood pressure measuring component; the one or more memories storing one or more computer programs, the one or more computer programs including instructions that, when executed by the one or more processors, cause the foregoing aspects or any possible implementation thereof to be performed.

[0022] Thirdly, a computer-readable storage medium is provided, comprising a computer program or instructions that, when executed on a computer, cause the first aspect and any possible implementation of the method of the first aspect to be performed.

[0023] Fourthly, a computer program product is provided, comprising a computer program or instructions that, when executed on a computer, cause the first aspect and any possible implementation of the method of the first aspect to be performed.

[0024] Fifthly, a computer program is provided that, when run on a computer, causes the methods described in the first aspect and any possible implementation thereof to be executed.

[0025] A sixth aspect is a graphical user interface on a wearable device according to an embodiment of this application. The wearable device has a display screen, one or more memories, and one or more processors. The one or more processors are used to execute one or more computer programs stored in the one or more memories. The graphical user interface includes the graphical user interface displayed when the wearable device executes the above aspects and any possible design of the above aspects.

[0026] Seventhly, a wearable device according to an embodiment of this application includes modules / units for performing the above aspects or any possible design of the above aspects; these modules / units can be implemented in hardware or implemented by hardware executing corresponding software.

[0027] For the beneficial effects of aspects two through seven, please refer to the beneficial effects of aspect one, which will not be repeated here. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the structure of a wearable device provided in an embodiment of this application.

[0029] Figure 2 This is a set of GUIs provided in the embodiments of this application.

[0030] Figure 3 This is a set of GUIs provided in the embodiments of this application.

[0031] Figure 4 This is a set of GUIs provided in the embodiments of this application.

[0032] Figure 5 This is a set of GUIs provided in the embodiments of this application.

[0033] Figure 6 This is a schematic flowchart of a method for detecting wearable devices provided in an embodiment of this application.

[0034] Figure 7 This is a schematic flowchart of a method for detecting wearable devices provided in an embodiment of this application.

[0035] Figure 8This is a schematic flowchart of a method for detecting wearable devices provided in an embodiment of this application.

[0036] Figure 9 This is a schematic flowchart of a method for detecting wearable devices provided in an embodiment of this application.

[0037] Figure 10 This is a schematic block diagram of a wearable device provided in an embodiment of this application.

[0038] Figure 11 This is a schematic structural diagram of a wearable device according to an embodiment of this application. Detailed Implementation

[0039] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0040] The terminology used in the following embodiments is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to also include expressions such as “one or more,” unless the context clearly indicates otherwise. It should also be understood that in the following embodiments of this application, “at least one” and “one or more” refer to one, two, or more than two. The term “and / or” is used to describe the relationship between related objects, indicating that three relationships may exist; for example, A and / or B can indicate: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character “ / ” generally indicates that the preceding and following related objects are in an “or” relationship.

[0041] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0042] The wearable device provided in this application can be a portable device that can be integrated into a user's clothing or accessories, has computing capabilities, and can connect to mobile phones and various terminal devices. For example, wearable device 100 can be a smartwatch, blood pressure bracelet, upper arm blood pressure monitor, etc., and this application does not specifically limit the type of wearable device.

[0043] It should be noted that the wearable device provided in this application embodiment has blood pressure measurement function and / or blood oxygen measurement function and / or heart rate measurement function.

[0044] Wearable devices typically use the oscillometric method to measure blood pressure. Specifically, this involves detecting the vibrations caused by blood flowing and impacting the blood vessel walls, obtaining a wave pattern originating from the vessel walls, and then calculating the blood pressure value by analyzing the relationship between this wave pattern and arterial blood pressure. In practice, the wearable device is worn on the user's limb. The device's air bladder compresses the user's artery. The blood pressure within the artery impacts the air bladder, causing pressure fluctuations within the bladder. These pressure fluctuations are then used to calculate the user's blood pressure reading.

[0045] Wearable devices typically use photoelectric measurement to measure heart rate. Specifically, a beam of light is emitted onto the skin surface. The light intensity at different times is obtained by measuring the changes in blood flow caused by the heartbeat, and the heart rate value is then calculated based on these varying light intensities. Similar to blood pressure measurement, heart rate measurement requires the wearable device to be worn on the body. When a beam of light of a fixed wavelength is shone onto the skin surface, the light is transmitted to the sensor through transmission or reflection. During this process, the light intensity is attenuated due to absorption by the skin, muscles, and blood, resulting in a decrease in the light intensity detected by the sensor. While the absorption of light by the skin and muscle tissue remains constant throughout the blood circulation, the blood volume within the skin fluctuates pulsatilely under the influence of the heart. When the heart contracts, the peripheral blood volume is at its maximum, resulting in the greatest light absorption and the lowest detected light intensity. Conversely, during diastole, the detected light intensity is at its maximum, exhibiting a pulsatile change, which is used to calculate the user's heart rate.

[0046] Wearable devices typically use photoelectric measurement to measure blood oxygen saturation. Specifically, they emit red and infrared light onto the skin surface. Because oxygen-saturated hemoglobin is reddish, it reflects red light more readily than infrared light. Conversely, when oxygen-saturated hemoglobin is deficient in oxygen, red light reflects less and infrared light reflects more. By analyzing the different reflectivities of red and infrared light, the blood oxygen level is determined. Similar to heart rate measurement, blood oxygen saturation measurement requires wearing the wearable device on the user's limbs.

[0047] In summary, when performing the aforementioned measurement functions, wearable devices must be worn on a person's limbs. However, the tightness of the fit affects the accuracy of the measurement results. Taking blood pressure measurement as an example, if the wearable device is worn too loosely, the air bladder needs to inflate more air to compress the user's artery. In this case, the pressure inside the air bladder is higher than when worn normally, resulting in a higher measured blood pressure value. Conversely, if the wearable device is worn too tightly, the pressure inside the air bladder is lower than when worn normally, resulting in a lower measured blood pressure value. Therefore, the tightness of the wearable device affects the accuracy of the measurement results. Based on this, this application provides a method for detecting wearability of a wearable device and a wearable device itself.

[0048] Figure 1 This is a schematic diagram of the structure of a wearable device 100 provided in an embodiment of this application. In some embodiments, the wearable device 100 may be a smartwatch or bracelet that can be worn around a user's wrist.

[0049] like Figure 1 As shown, the wearable device 100 may include a main body 110, a wristband 120, and a blood pressure detection component 130. The wristband 120 can surround and conform to a user's body part, such as the wrist, upper arm, ankle, or other body part, to ensure the main body 110 is worn securely on the area to be monitored. The wearable device 100 can perform blood pressure measurement via the blood pressure detection component 130.

[0050] The blood pressure monitoring component 130 may include an air bladder 131, an air pump 132, and a pressure sensor (not shown in the figure). The air bladder 131 may be disposed on the inner surface of the wristband 120. The air pump 132 may be disposed inside the main body 110 and communicates with the air bladder 131 via an air tube 133 for inflating or deflating the air bladder 131. The pressure sensor may also be disposed inside the main body 110 and connected to the air bladder 131 for detecting changes in the air pressure of the air bladder 131.

[0051] It is understandable that the inner surface of the wristband 120 can be the side of the wristband 20 that comes into contact with the user's body.

[0052] For example, when a user measures blood pressure using a wearable device 100 worn on their wrist, the wearable device 100 can control an air pump 132 to inflate. The air pump 132 inflates the air bladder 31 through a tubing 133, causing the air bladder 131 to expand and compress the radial artery at the wrist. In this situation, the air pressure inside the air bladder 131 can generate pressure fluctuations. The wearable device 100 can acquire the pressure wave signal inside the air bladder 131 through a pressure sensor and calculate the user's diastolic and systolic blood pressure based on the pressure wave signal to achieve the blood pressure measurement function.

[0053] After the blood pressure measurement process is completed, the wearable device 100 can control the air pump 132 to stop the inflation action, and the gas in the air bag 131 can be discharged through the air pump 132 to be in a state where blood pressure can be measured again.

[0054] Optionally, in some embodiments, the wearable device may also include a photoplethysmography (PPG) sensor for acquiring the user's heart rate and blood oxygen levels.

[0055] The following section first introduces several scenarios in which the wearable device wearing detection method provided in this application embodiment is applicable, using a graphical user interface (GUI).

[0056] It should be noted that the GUI described below uses a smartwatch as an example of a wearable device, but it should not be construed as a specific limitation on the embodiments of this application.

[0057] Figure 2 A set of GUIs provided in embodiments of this application is shown.

[0058] like Figure 2 As shown, the smartwatch displays interface 201, which is the desktop. The smartwatch displays an icon 202 on interface 201, which corresponds to the wear detection function. When the smartwatch detects a user clicking icon 202, it responds to this action, detecting the tightness of the smartwatch's fit. If it determines that the fit is too loose, it can display... Figure 2 The GUI shown in (b) can display the following when it is determined that the garment is too tight: Figure 2 The GUI shown in (c) can display the following when worn normally: Figure 2 The GUI shown in (d) is shown in the image.

[0059] like Figure 2 As shown in (b), when the smartwatch completes the detection and determines that the fit is too loose, it can display the detection result on interface 203: "Currently worn too loose, please adjust in time".

[0060] like Figure 2 As shown in (c), when the smartwatch completes the detection and determines that the garment is too tight, it can display the detection result on interface 203: "Currently worn too tight, please adjust in time".

[0061] like Figure 2 As shown in (d) in the figure, when the smartwatch completes the detection and confirms that the wear is normal, it can display the detection result on the interface 203: "Currently worn normally, no adjustment is required".

[0062] Optionally, in some embodiments, the smartwatch may also display a re-wearing detection control 204 on interface 203. Upon detecting a user's click on the re-wearing detection control 204, the smartwatch, in response to this action, can re-detect the tightness of the smartwatch fit and again display the detection result on interface 203.

[0063] For example, when a smartwatch detects the tightness of the fit for the first time, if it detects that the fit is too loose, it can output a result indicating that the fit is too loose. After seeing this result, the user can adjust the fit accordingly. After adjustment, the user does not need to return to interface 201 from interface 203 and click icon 202 in interface 201. Instead, the user can directly click the wear detection control 204 in interface 203 to trigger the smartwatch's wear detection function.

[0064] It should be noted that the method for detecting the tightness of a smartwatch's fit is described below and will not be elaborated here.

[0065] In this embodiment, the smartwatch can detect whether the user is wearing it properly, thereby ensuring the accuracy of functions such as blood pressure measurement, heart rate measurement, and blood oxygen measurement, which helps to improve the user experience.

[0066] Optionally, in some embodiments, the smartwatch may also display an adjustment prompt when it determines that the fit is too tight or too loose.

[0067] For example, such as Figure 2 As shown in (e), when the smartwatch determines that the strap is too tight, it can display an adjustment prompt: "Please loosen the strap by one buckle".

[0068] For example, such as Figure 2 As shown in (f), if the smartwatch determines that the strap is too loose, it can display an adjustment prompt: "Please tighten the strap by one buckle".

[0069] Understandable, Figure 2 (e) and (f) are just examples. The adjustment prompts displayed by the smartwatch are determined based on the tightness of the fit, and are not fixed.

[0070] In this embodiment, the smartwatch can detect whether the user is wearing it properly. When it is determined that the user is wearing it too tightly or too loosely, it can output adjustment prompts to the user on how to adjust it, thereby ensuring the accuracy of functions such as blood pressure measurement, heart rate measurement, and blood oxygen measurement, and helping to improve the user experience.

[0071] It should be noted that, Figure 2In the example shown, desktop 201 includes controls for triggering the wear detection function, but this is not limited in the embodiments of this application. In other embodiments of this application, the interface of the application or the service card may include controls for triggering the wear detection function.

[0072] It should also be noted that the operation to trigger the wear detection in this embodiment includes not only the user clicking the control used to trigger the wear detection function, but also the user pressing the crown (e.g., pressing the crown three times in succession), rotating the crown (e.g., rotating the crown two full turns), and preset gestures.

[0073] Figure 2 This article introduces the GUI of a smartwatch that performs wear detection in response to user-triggered wear detection. The following section will introduce the GUI of a smartwatch that performs wear detection when measuring physiological parameters (such as blood pressure and heart rate). The following section will mainly use blood pressure measurement as an example.

[0074] Figure 3 Another set of GUIs provided in the embodiments of this application is shown.

[0075] like Figure 3 As shown, the smartwatch displays interface 301, which is the desktop. The smartwatch displays icon 302 on interface 301, which corresponds to the blood pressure measurement function. When the smartwatch detects the user clicking icon 302, it can respond to this action and perform a blood pressure measurement. Before measuring blood pressure, the smartwatch can first perform a wear detection. The smartwatch can automatically trigger the wear detection, i.e., as shown... Figure 3 The GUI shown can also respond to user-defined actions and trigger wear detection, such as... Figure 4 The GUI shown. When it is determined that the fit is too loose, it can display something like... Figure 3 The GUI shown in (b) can display the following when it is determined that the garment is too tight: Figure 3 The GUI shown in (c) can measure blood pressure and display it when worn normally. Figure 3 The GUI shown in (d) is shown in the image.

[0076] like Figure 3 As shown in (b), when the smartwatch determines that the garment is too loose, it can display the detection result on interface 303: "Currently worn too loose, please adjust it in time before measuring blood pressure again."

[0077] like Figure 3 As shown in (c), when the smartwatch determines that the garment is too tight, it can display the detection result on interface 303: "Currently worn too tight, please adjust it in time before measuring blood pressure again."

[0078] like Figure 3As shown in (d), when the smartwatch is confirmed to be worn normally, it can measure blood pressure and display the blood pressure measurement result on interface 203.

[0079] In this embodiment, the smartwatch can detect whether the user is wearing the device properly before measuring blood pressure, thereby ensuring the accuracy of the blood pressure measurement function and helping to improve the user experience.

[0080] Optionally, in some embodiments, when the smartwatch determines that the fit is too loose or too tight, a re-fitting detection control 304 can be displayed on interface 303. The smartwatch detects the user clicking the re-fitting detection control 304 and, in response, can perform the fitting detection again.

[0081] Optionally, in some embodiments, when the smartwatch determines that the wearer is wearing the garment correctly and the blood pressure measurement is complete, the smartwatch can also display a "Measure Blood Pressure Again" control 305 on interface 303. The smartwatch detects the user's action of clicking the "Measure Blood Pressure Again" control 305, and in response to this action, can perform another blood pressure measurement.

[0082] Optionally, in some embodiments, the smartwatch may also display an adjustment prompt when it determines that the fit is too tight or too loose. It should be understood that a description of the smartwatch displaying adjustment prompts can be found in the documentation for... Figure 2 For the sake of brevity, the descriptions of (e) and (f) in the text will not be repeated here.

[0083] In this embodiment, before measuring blood pressure, the smartwatch can detect whether the user is wearing the device properly. If it is determined that the user is wearing the device too tightly or too loosely, it can output adjustment prompts to the user on how to adjust it, thereby ensuring the accuracy of blood pressure measurement and improving the user experience.

[0084] Figure 3 In the illustrated GUI, the smartwatch can automatically detect the tightness of the wristband before measuring blood pressure. In other embodiments of this application, the smartwatch can determine whether to detect the tightness of the wristband before measuring blood pressure based on the user's operation. The following describes this in conjunction with... Figure 4 Please provide an explanation.

[0085] Figure 4 Another set of GUIs provided in the embodiments of this application is shown.

[0086] like Figure 4 As shown in (a), the smartwatch displays an interface 401, which can be a desktop. The smartwatch displays an icon 402 on interface 401, which corresponds to the blood pressure measurement function. When the smartwatch detects a user clicking icon 402, it can respond to the action and display... Figure 4 The GUI shown in (b) is shown in the image.

[0087] like Figure 4 As shown in (b), in response to the user clicking icon 402, the smartwatch can display an option box 403. This option box 403 is used to output a prompt message to the user asking whether to perform a wear test. When the smartwatch detects the user clicking the OK control 404, it can first perform a wear test, and then measure blood pressure if it confirms that the wear is normal. When the smartwatch detects the user clicking the Cancel control 405, it can perform a blood pressure measurement.

[0088] Understandably, when the smartwatch responds to the user's click of the "OK" control (404) and adjusts the wearing tightness, if it detects that the fit is too tight or too loose, similar to... Figure 2 or Figure 3 The GUI shown indicates that the smartwatch can display the test results. Please refer to the above text for a detailed description, which will not be repeated here.

[0089] Figure 3 and Figure 4 The GUIs shown all perform wear detection before blood pressure measurement. In other embodiments of this application, the smartwatch can also perform wear detection after blood pressure measurement is completed. The following describes... Figure 5 Let me introduce it.

[0090] Figure 5 Another set of GUIs provided in the embodiments of this application is shown.

[0091] like Figure 5 As shown, the smartwatch displays interface 501, which can be a desktop. The smartwatch displays an icon 502 on interface 501, which corresponds to the blood pressure measurement function. When the smartwatch detects a user clicking icon 502, it can respond to the action and display... Figure 5 The GUI shown in (b) is shown in the image.

[0092] like Figure 5 As shown in (b), the smartwatch can perform blood pressure measurement in response to the user clicking icon 502 and display the blood pressure measurement result on interface 503.

[0093] like Figure 5As shown in (c)-(d), the smartwatch can store the average of blood pressure measurements over a period of time (e.g., one week). The smartwatch can compare the average with the current blood pressure measurement result. When the difference exceeds a threshold, the smartwatch can display an option box 504, which outputs a prompt message to the user asking whether to perform a wear test. When the smartwatch detects the user clicking the OK control 505, it can perform a wear test and display the test result on interface 506 after the test is completed: "Currently worn too loose, please adjust it before measuring blood pressure again."

[0094] Optionally, in some embodiments, the smartwatch may also display adjustment prompts on interface 506, as described above, and will not be repeated here.

[0095] Optionally, in some embodiments, the smartwatch may also display a re-wearing detection control 507 and / or a re-blood pressure measurement control 508 on interface 506, as described above, and will not be repeated here.

[0096] In this embodiment, after completing a blood pressure measurement, the smartwatch can compare the current blood pressure measurement result with the previous blood pressure measurement result. If the difference is large, it can perform a wear detection to prompt the user to make adjustments, which helps to improve the user experience.

[0097] The above describes several scenarios applicable to the wearable device wearing detection method provided in the GUI embodiments of this application. The following will introduce the wearable device wearing detection method provided in the embodiments of this application.

[0098] Figure 6 A schematic flowchart of a wearable device wearing detection method 600 provided in an embodiment of this application is shown, such as... Figure 6 As shown, the method includes:

[0099] S601, the preset conditions are detected, and gas is inflated into the airbag.

[0100] Specifically, the wearable device can inflate the airbag with gas when it detects that preset conditions are met, and the inflation time is T seconds, where T > 0.

[0101] In some embodiments, the detection condition is: the user triggers a wearing detection operation.

[0102] For example, such as Figure 2 As shown, the smartwatch detects the user's click on icon 202, which corresponds to the wear detection function.

[0103] For example, such as Figure 2As shown, the smartwatch detected the user's action of clicking the re-wearing detection control 204.

[0104] For example, such as Figure 3 As shown, the smartwatch detected the user's action of clicking the re-wearing detection control 304.

[0105] For example, such as Figure 4 As shown, the option box 403 includes a confirm control 404 and a cancel control 405. The option box 403 is used to output a prompt message to prompt the user whether to perform a wear detection. The smartwatch detects the user's click on the confirm control 404.

[0106] For example, a smartwatch detects that the user presses the crown three times in a row.

[0107] For example, a smartwatch detects that the user rotates the crown two full turns.

[0108] For example, a smartwatch detects a user's preset gesture, which corresponds to the wear detection function.

[0109] In some embodiments, the detection condition is: the user triggers an operation to measure physiological parameters, wherein the physiological parameters include one or more of the following: blood pressure, heart rate, and blood oxygen.

[0110] For example, such as Figure 3 As shown, the smartwatch detected the user clicking on icon 302, which corresponds to the blood pressure measurement function.

[0111] In some embodiments, the detection condition is satisfied as follows: the difference between the measured physiological parameter value and the average value of the physiological parameter values ​​measured in the first time period is greater than a threshold.

[0112] For example, such as Figure 5 As shown, when the smartwatch detects that the difference between the current blood pressure measurement and the average blood pressure measurement over the past week is greater than a threshold, it can perform a wear detection.

[0113] S602, detects the rate of airbag volume expansion within T seconds.

[0114] Specifically, when a wearable device inflates an air bladder using an air pump, the rate of air bladder expansion can be detected to determine the tightness of the fit. The rate of air bladder expansion can be understood as a parameter characterizing how quickly the air bladder expands; a faster expansion rate indicates a larger expansion rate, and a slower expansion rate indicates a smaller expansion rate. When the air bladder is not pressed against the user's skin, the rate of air bladder expansion can remain constant. However, as the air bladder begins to press against the user's skin, the rate of expansion slows down due to resistance from the skin. It's easy to understand that when inflating the air bladder at the same rate, the tighter the wearable device is worn, the earlier the air bladder encounters resistance from the user's skin, and the smaller the rate of air bladder expansion. Therefore, the tightness of the wearable device can be determined by detecting the rate of air bladder expansion.

[0115] In some embodiments, due to the duty cycle of the air pump during operation, the airbag will deflate during the working interval of the air pump. Furthermore, as the volume of the airbag increases, the resistance from the skin also increases, thus increasing the deflation rate of the airbag during the working interval. It is easy to understand that, at any given time, the tighter the wearable device is worn, the greater the resistance from the skin to the airbag, and therefore the greater the deflation rate of the airbag during the working interval. Therefore, the wearable device can determine the airbag volume expansion rate within T seconds according to formulas (1) and (2).

[0116]

[0117]

[0118] Where P0 is the pressure inside the airbag when it is not inflated, P t Let W'(t) be the pressure inside the airbag at time t when it is inflated, W'(t) be the difference between the inflation rate and the deflation rate at time t, n'0 be the amount of gas, ε be the volume expansion rate of the airbag in T seconds, and T be the inflation time of the airbag, where T > 0.

[0119] W'(t) is determined based on the inflation rate and deflation rate at time t, where the inflation rate and deflation rate are quantities related to the pressure of the air pump and the airbag. With the hardware specifications of the air pump fixed, the inflation rate and deflation rate can be determined based on the duty cycle of the air pump and the pressure of the airbag.

[0120] For example, the inflation and deflation rates of the same air pump under different duty cycles and different airbag pressures can be experimentally measured, and then the wearable device can store the measurement results so that the measurement results can be used when calculating the airbag volume expansion rate.

[0121] It should be noted that the above formulas (1) and (2) are merely examples and should not be construed as limiting the scope of this application. The method of measuring the airbag volume expansion rate by other methods to implement the wear detection method provided in the embodiments of this application should also fall within the protection scope of this application.

[0122] S603 determines the wear detection result of the wearable device based on the airbag volume expansion rate within T seconds.

[0123] Specifically, after the wearable device determines the airbag's volume expansion rate, it can determine the wearing detection result based on the relationship between the measured volume expansion rate and the first threshold.

[0124] In some embodiments, when the volume expansion rate is greater than a first threshold, it is determined that the fit is too loose.

[0125] For example, if the first threshold is 2 and the measured volume expansion rate is 5, it can be determined that the wearable device is worn too loosely.

[0126] In some embodiments, when the volume expansion rate is less than a second threshold, it is determined that the garment is too tight.

[0127] For example, if the second threshold is 1.5 and the measured volume expansion rate is 1.3, it can be determined that the wearable device is worn too tightly.

[0128] In some embodiments, when the volume expansion rate is greater than or equal to a second threshold and less than or equal to a first threshold, it is determined that the wear is normal.

[0129] For example, if the first threshold is 2, the second threshold is 1.5, and the measured volume expansion rate is 1.8, then it can be determined that the wearable device is being worn normally.

[0130] S604, displaying the first interface, which includes the wear detection results.

[0131] Specifically, after the wearable device confirms the wearing detection result, the wearing detection result can be displayed on the first interface.

[0132] For example, such as Figure 2 As shown in (b) in the figure, the smartwatch displays the wear detection results on interface 203.

[0133] In this embodiment, the wearable device can determine whether the wear is normal by detecting the airbag's volume expansion rate, ensuring the accuracy of physiological parameter measurement results, without adding hardware or incurring additional costs.

[0134] Due to factory deviations and airway blockages caused during use, the air pump may deviate significantly when inflating the airbag, potentially leading to inaccurate wear test results.

[0135] For example, suppose user #1 wears wearable device #1 normally, and user #2 wears wearable device #2 normally. Wearable device #1 is equipped with air pump #1, and wearable device #2 is equipped with air pump #2. Air pump #1 and air pump #2 are the same model. Air pump #1 has an air passage blockage, while air pump #2 does not. Air pump #1 and air pump #2 inflate airbag #1 and airbag #2 with the same power, respectively. It is easy to understand that because air pump #1 has an air passage blockage, the volume expansion rate of airbag #1 will be less than that of airbag #2, and may be less than the second threshold, thus leading to the misjudgment that user #1 is wearing it too tightly.

[0136] In summary, as Figure 7 As shown, in some embodiments of this application, before performing S601, the method further includes:

[0137] S605 detects the performance of the air pump and determines the first weighted parameter based on the performance of the air pump.

[0138] Specifically, wearable devices can detect the performance of the air pump and determine the first weighted parameter based on the performance of the air pump.

[0139] S603, determines the wear detection results of the wearable device based on the airbag volume expansion rate within T seconds, including:

[0140] S6031, determine the wear detection result of the wearable device based on the airbag volume expansion rate within T seconds and the first weighted parameter.

[0141] Specifically, the wearable device can determine the first weighted volume expansion rate of the airbag within T seconds based on the airbag's volume expansion rate and the first weighted parameter, and then determine the wear detection result of the wearable device based on the first weighted volume expansion rate of the airbag within T seconds.

[0142] In some embodiments, the wearable device may determine the first weighted volume expansion rate of the airbag within T seconds according to formulas (3) and (4).

[0143]

[0144]

[0145] Where, β t Let β be the first weighted volume expansion rate of the airbag at time t, β be the first weighted volume expansion rate of the airbag within T seconds, and A be the first weighting parameter.

[0146] Understandably, when the air pump has poor performance, it corresponds to a larger first weighting parameter, and when the air pump has good performance, it corresponds to a smaller first weighting parameter, thereby eliminating the inaccuracy of the wear detection results caused by the differences in the performance of each air pump.

[0147] The methods for testing the performance of the air pump are not limited in the embodiments of this application. The following are several possible methods for testing the performance of the air pump.

[0148] One possible method is to inflate the airbag with gas and deflate it when the airbag reaches a first pressure, then determine the performance of the air pump based on the deflation rate.

[0149] For example, the venting rate can be determined according to formulas (5) and (6).

[0150]

[0151] P m V m =P0V0 (6)

[0152] Where v is the degassing rate, V m P0 is the volume of the airbag when the pressure is at the first pressure, P0 is the pressure inside the airbag when it is not inflated, and V0 is the volume of the airbag when it is not inflated. m The first pressure is given by P, where m is the pressure of the airbag. m The time it takes for the value to change to P0. It is understandable that, since P0 and V0 are known, V can be determined using formula (5). m Then, by detecting the pressure of the airbag, P m The time it takes for the gas to change to P0 can be used to calculate the degassing rate.

[0153] One possible method is to use an air pump to inflate the airbag with a first duty cycle, determine the inflation time when the airbag pressure reaches a second pressure, and then determine the performance of the air pump based on the inflation time, wherein the first duty cycle is greater than 0 and less than or equal to 100%.

[0154] Understandably, the air pump performs better when the charging time is short and worse when the charging time is long.

[0155] In this embodiment, the wearable device can first evaluate the performance of the air pump, and then determine whether the wear is normal based on the performance of the air pump and the volume expansion rate of the airbag. This ensures the accuracy of the physiological parameter measurement results, and does not require additional hardware or incur additional costs.

[0156] Besides the impact of air pump performance on the wear detection results, the user's wearing posture also affects the wear detection results.

[0157] For example, taking a smartwatch as an example of a wearable device, suppose the smartwatch is worn too loosely, and the smartwatch needs to perform a wear test before measuring blood pressure. Since the user needs to press their wrist against their chest when the smartwatch is measuring blood pressure, this operation will cause the air bladder to be compressed. The measured air bladder volume expansion rate will be smaller, which may be misjudged as normal wear.

[0158] In summary, as Figure 8 As shown, in some embodiments of this application, before performing S601, the method further includes:

[0159] S606 detects the user's wearing posture and determines the second weighted parameter based on the user's wearing posture.

[0160] Specifically, wearable devices can detect the user's posture while wearing the device and determine a second weighted parameter based on that posture.

[0161] For example, taking a smartwatch as a wearable device, if the smartwatch detects that the user is pressing their wrist against their chest, the second weighted parameter is 1.5; if the smartwatch does not detect that the user is pressing their wrist against their chest, the second weighted parameter is 1.

[0162] For example, wearable devices can detect movement through an inertial measurement unit (IMU) and a microphone. When the wearable device detects that the user's wrist is undulating through the IMU and detects a heartbeat signal through the microphone, the wearable device can determine that the user is pressing their wrist against their chest.

[0163] S603, determines the wear detection results of the wearable device based on the airbag volume expansion rate within T seconds, including:

[0164] S6032 determines the wear detection result of the wearable device based on the airbag volume expansion rate within T seconds and the second weighted parameter.

[0165] Specifically, the wearable device can determine the second weighted volume expansion rate of the airbag within T seconds based on the airbag's volume expansion rate within T seconds and the second weighted parameter, and then determine the wear detection result of the wearable device based on the second weighted volume expansion rate of the airbag within T seconds.

[0166] In some embodiments, the wearable device may determine the second weighted volume expansion rate of the airbag within T seconds according to formulas (7) and (8).

[0167]

[0168]

[0169] Where, ωt Let ω be the second weighted volume expansion rate of the airbag at time t, ω be the second weighted volume expansion rate of the airbag within T seconds, and B be the second weighting parameter.

[0170] In this embodiment, the wearable device can first detect the user's wearing posture, and then determine whether the wearing is normal based on the user's wearing posture and the airbag's volume expansion rate, ensuring the accuracy of physiological parameter measurement results, without adding hardware and without increasing additional costs.

[0171] Since the performance of the air pump and the user's wearing posture both affect the wearing detection results, in some embodiments of this application, the wearable device can first detect the user's wearing posture and the performance of the air pump.

[0172] like Figure 9 As shown, before executing S601, the method further includes:

[0173] S605, tests the performance of the air pump and determines the first weighted parameter based on the air pump's performance.

[0174] S606 detects the user's wearing posture and determines the second weighted parameter based on the user's wearing posture.

[0175] It should be understood that the execution order of S605 and S606 is not limited in the embodiments of this application. That is, S605 and S606 can be executed at the same time, or S605 can be executed first and then S606 can be executed, or S606 can be executed first and then S605 can be executed.

[0176] S603, determines the wear detection results of the wearable device based on the airbag volume expansion rate within T seconds, including:

[0177] S6033, determine the wear detection result of the wearable device based on the airbag volume expansion rate within T seconds, the first weighted parameter, and the second weighted parameter.

[0178] Specifically, the wearable device can determine the third weighted volume expansion rate based on the airbag volume expansion rate within T seconds, the first weighted parameter, and the second weighted parameter, and then determine the wear detection result of the wearable device based on the third weighted volume expansion rate of the airbag within T seconds.

[0179] In some embodiments, the wearable device may determine the third weighted volume expansion rate of the airbag within T seconds according to formulas (9) and (10).

[0180]

[0181]

[0182] Where, δ tLet t be the third weighted volume expansion rate of the airbag at time t, and δ be the third weighted volume expansion rate of the airbag within T seconds.

[0183] Optionally, in some embodiments, the method further includes:

[0184] The adjustment prompt message is determined based on the airbag's volume expansion rate within T seconds;

[0185] The adjustment prompt message is displayed on the first screen.

[0186] For example, Table 1 shows the correspondence between the volume expansion rate and the adjustment prompt information.

[0187] Table 1. Correspondence between volume expansion rate and adjustment prompt information

[0188]

[0189]

[0190] For example, such as Figure 2 As shown in (e), when the smartwatch determines that the strap is too tight, it can display an adjustment prompt message on interface 203: "Please loosen the strap by one buckle".

[0191] In this embodiment, the wearable device can display adjustment prompts based on the rate of volume expansion. These prompts can guide the user on how to adjust the device and the degree of adjustment, allowing for more precise adjustment of tightness and ensuring the accuracy of physiological parameter measurements. This is achieved without adding hardware or incurring additional costs.

[0192] It should be noted that, in the above embodiments, the wearable device is used as an example to detect both loose and tight fits. However, the embodiments of this application are not limited to this. In other embodiments, the wearable device can use the above method to detect only loose fits, or only tight fits. It is easy to understand that when the wearable device detects only loose fits, or only tight fits, a threshold can be set to determine whether the fit is too loose or too tight.

[0193] For example, if the threshold is set to the first threshold, it is determined that the fit is too loose when the volume expansion rate is greater than the first threshold.

[0194] For example, if the threshold is set to the second threshold, it is determined that the garment is too tight when the volume expansion rate is less than the second threshold.

[0195] The foregoing mainly describes a method for wearable device wear detection provided in the embodiments of this application from the perspective of wearable devices. It is understood that, in order to achieve the above functions, the wearable device includes corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the algorithm steps of the examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0196] This application embodiment can divide the processor in a wearable device into functional modules (or units) according to the above method example. For example, each function can be divided into a separate functional module (or unit), or two or more functions can be integrated into one processing module (or unit). The integrated module (or unit) can be implemented in hardware or in software. It should be noted that the module (or unit) division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0197] When each function is divided into different modules (or units) to correspond to its specific function, Figure 10 A schematic block diagram of a wearable device 1000 provided in an embodiment of this application is shown, such as... Figure 10 As shown, the wearable device 1000 includes: a processing module 1010, a detection module 1020, and a display module 1030.

[0198] The processing module 1010 is used to inflate the airbag with gas when it is determined that preset conditions are met.

[0199] The detection module 1020 is used to detect the volume expansion rate of the airbag within T seconds.

[0200] The processing module 1010 is also used to determine the wear detection result of the wearable device based on the volume expansion rate of the airbag within T seconds.

[0201] Display module 1030 is used to display a first interface, which includes the wear detection results.

[0202] In some embodiments, when the volume expansion rate is greater than a first threshold, it is determined that the fit is too loose;

[0203] In some embodiments, when the volume expansion rate is less than a second threshold, it is determined that the garment is too tight;

[0204] In some embodiments, when the volume expansion rate is greater than or equal to a second threshold and less than or equal to a first threshold, it is determined that the wear is normal.

[0205] Optionally, in some embodiments, the detection module 1020 is also used to detect the performance of the air pump before the processing module 1010 inflates the airbag.

[0206] The processing module 1010 is also used to determine the first weighted parameter based on the performance of the air pump.

[0207] The processing module 1010 is specifically used to determine the wearing detection result of the wearable device based on the airbag volume expansion rate within T seconds and the first weighted parameter.

[0208] Optionally, in some embodiments, the detection module 1020 is also used to detect the user's wearing posture before the processing module 1010 inflates the airbag.

[0209] The processing module 1010 is also used to determine the second weighting parameter based on the wearing posture.

[0210] The processing module 1010 is specifically used to determine the wear detection result of the wearable device based on the airbag volume expansion rate within T seconds, the first weighting parameter, and the second weighting parameter, or to determine the wear detection result of the wearable device based on the airbag volume expansion rate within T seconds and the second weighting parameter.

[0211] Optionally, in some embodiments, the detection module 1020 is specifically used to inflate the airbag with gas, perform deflating when the pressure of the airbag reaches a first pressure, and determine the performance of the air pump based on the deflating rate.

[0212] Optionally, in some embodiments, the detection module 1020 is specifically used to inflate the airbag with gas, wherein the duty cycle of the airbag is a first duty cycle, and when the pressure of the airbag reaches a second pressure, the inflation time of the gas is determined, and the performance of the air pump is determined based on the inflation time.

[0213] Optionally, in some embodiments, the preset condition is: the user triggers the operation of measuring physiological parameters.

[0214] Optionally, in some embodiments, the preset condition is: the user triggers the wearable device wearing detection operation.

[0215] Optionally, in some embodiments, the preset condition is: the difference between the measured physiological parameter value and the average value of the physiological parameter values ​​measured in the first time period is greater than a third threshold.

[0216] Optionally, in some embodiments, the processing module 1010 is further configured to determine the adjustment prompt information based on the airbag's volume expansion rate within T seconds.

[0217] The display module 1030 is also used to display adjustment prompts on the first interface.

[0218] It should be understood that, regarding Figure 10 The implementation principle and technical effect are similar to the relevant embodiments of the above methods, and will not be repeated here.

[0219] Figure 11 A schematic structural diagram of a wearable device 1100 according to an embodiment of this application is shown. Figure 11 As shown, the wearable device 1100 includes a processor 1101, a memory 1102, a blood pressure detection component 1103, and a sensor module 1104. The sensor module 1104 includes one or more sensors for implementing the methods described in the embodiments above. The processor 1101, memory 1102, blood pressure detection component 1103, and sensor module 1104 communicate with each other through internal connection paths to transmit control and / or data signals. In one possible design, the processor 1101 and memory 1102 can be implemented using chips. The processor 1101 and memory 1102 may be implemented in the same chip, or they may be implemented in different chips, or any two of their functions may be combined in one chip. The memory 1102 can store program code, and the processor 1101 calls the program code stored in the memory 1102 to enable the wearable device to implement the technical solutions described in the embodiments above.

[0220] This application provides a computer program product that, when run on a wearable device, causes the wearable device to execute the technical solutions described in the above embodiments. Its implementation principle and technical effects are similar to those of the related embodiments described above, and will not be repeated here.

[0221] This application provides a readable storage medium containing instructions that, when executed by a wearable device, cause the wearable device to perform the technical solution described in the above embodiments. The implementation principle and technical effects are similar and will not be repeated here.

[0222] This application provides a chip for executing instructions. When the chip is running, it executes the technical solutions described in the above embodiments. Its implementation principle and technical effects are similar and will not be repeated here.

[0223] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this application.

[0224] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0225] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0226] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0227] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0228] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or parts of the technical solutions, can be embodied in the form of software products. These computer software products are stored in a storage medium and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0229] The above description is merely a specific implementation of the embodiments of this application, but the protection scope of the embodiments of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the embodiments of this application should be included within the protection scope of the embodiments of this application. Therefore, the protection scope of the embodiments of this application should be determined by the protection scope of the claims.

Claims

1. A method for detecting wearability of a wearable device, characterized in that, The wearable device includes a main body, a wristband, and a blood pressure detection component, wherein the blood pressure detection component includes an airbag and an air pump, and the method includes: If a preset condition is detected, gas is inflated into the airbag, wherein the inflation time is T seconds, where T > 0. The volume expansion rate of the airbag within the specified T seconds is detected, wherein the volume expansion rate of the airbag is determined based on the pressure of the airbag, the inflation rate, the deflation rate, and the amount of gas, and the inflation rate and the deflation rate are determined based on the duty cycle of the air pump and the pressure of the airbag. The wear detection result of the wearable device is determined based on the volume expansion rate of the airbag within the specified T seconds; The first interface is displayed, which includes the wear detection results.

2. The method according to claim 1, characterized in that, Before inflating the airbag after determining that the preset conditions are met, the method further includes: The performance of the air pump is detected, and a first weighted parameter is determined based on the performance of the air pump; The step of determining the wear detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: The wear detection result of the wearable device is determined based on the airbag's volume expansion rate within the specified T seconds and the first weighted parameter.

3. The method according to claim 2, characterized in that, Before inflating the airbag after determining that the preset conditions are met, the method further includes: Determine the user's wearing posture, and determine the second weighted parameter based on the wearing posture; The step of determining the wear detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: The wear detection result of the wearable device is determined based on the airbag's volume expansion rate within the specified T seconds, the first weighted parameter, and the second weighted parameter.

4. The method according to claim 2 or 3, characterized in that, The testing of the performance of the air pump includes: Inflate the airbag with gas; When the pressure in the airbag reaches the first pressure, the air is deflated. The performance of the air pump is determined based on the degassing rate.

5. The method according to claim 2 or 3, characterized in that, The testing of the performance of the air pump includes: Gas is introduced into the airbag, wherein the duty cycle of the air pump is a first duty cycle; When the pressure of the airbag reaches the second pressure, the inflation time of the gas is determined. The performance of the air pump is determined based on the charging time.

6. The method according to claim 1, characterized in that, Before inflating the airbag after determining that the preset conditions are met, the method further includes: Determine the user's wearing posture, and determine the second weighted parameter based on the wearing posture; The step of determining the wear detection result of the wearable device based on the volume expansion rate of the airbag within the T seconds includes: The wear detection result of the wearable device is determined based on the airbag's volume expansion rate within the T seconds and the second weighting parameter.

7. The method according to any one of claims 1 to 3, characterized in that, The detection of the airbag's volume expansion rate within the T seconds includes: The volume expansion rate of the airbag within T seconds is determined according to the following formula. Where P0 is the pressure inside the airbag when it is not inflated, P t The pressure inside the airbag at time t when the airbag is inflated. Let be the difference between the inflation rate and the deflation rate at time t. This refers to the amount of substance of the gas. The volume expansion rate of the airbag within the specified T seconds is given.

8. The method according to any one of claims 1 to 3, characterized in that, The method further includes: The adjustment prompt information is determined based on the airbag's volume expansion rate within the specified T seconds; The adjustment prompt information is displayed on the first interface.

9. The method according to any one of claims 1 to 3, characterized in that, The wear detection result of the wearable device is determined based on the volume expansion rate of the airbag within the specified T seconds, including: When the airbag's volume expansion rate within the specified T seconds exceeds a first threshold, it is determined that the airbag is worn too loosely. If the airbag's volume expansion rate within the specified T seconds is less than a second threshold, it is determined that the airbag is too tight. When the airbag's volume expansion rate within the specified T seconds is greater than or equal to the second threshold and less than or equal to the first threshold, it is determined that the airbag is being worn correctly.

10. The method according to any one of claims 1 to 3, characterized in that... Preset conditions were detected, including: The user triggered an action to measure physiological parameters; and / or The user triggered the wearable device wearing detection operation; and / or The difference between the measured physiological parameter value and the average value of the physiological parameter value measured in the first time period was detected to be greater than the third threshold.

11. A wearable device, characterized in that, The device includes one or more processors; one or more memories; a blood pressure detection component; said one or more memories storing one or more computer programs, said one or more computer programs including instructions that, when executed by said one or more processors, cause the method of any one of claims 1 to 10 to be performed.

12. A chip, characterized in that, The chip includes a processor and a communication interface, the communication interface being used to receive signals and transmit the signals to the processor, the processor processing the signals such that the method as described in any one of claims 1 to 10 is executed.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on a computer, cause the method as described in any one of claims 1 to 10 to be performed.

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