Data measurement method and device, wearable equipment and storage medium

Abstract

The invention discloses a data measurement method and device, wearable equipment and a storage medium, and belongs to the technical field of wearable equipment. The method is applied to a wearable device, the wearable device at least comprises a filling module and a data measurement module, and the method comprises the steps that under the condition that the wearable device is in a worn state, measurement operation on physiological signal data is received; in response to the measurement operation, acquiring an internal pressure value of the filling module, and measuring physiological signal data of the user through the data measurement module under the condition that the internal pressure value of the filling module is within a preset pressure range; the preset pressure range is determined according to the pressure value corresponding to the physiological signal data of which the data quality is higher than a preset quality threshold value selected from the target data set. The data quality of the currently collected physiological signal data can be at least higher than the preset quality threshold value, and the quality and accuracy of collecting the physiological signal data of the user each time are improved.

Description

Technical Field

[0001] The present application relates to the technical field of wearable devices, and in particular to a data measurement method, device, wearable device and storage medium. Background Art

[0002] With the development of science and technology, various wearable devices have appeared in people's daily lives, and people can use wearable devices to monitor their own health.

[0003] For example, users can collect their own blood pressure, heart rate and other human physiological signals through wearable devices such as smart watches and smart bracelets, and obtain the corresponding physiological signal data, thereby reflecting the user's actual health status. At present, in most wearable devices, when users wear wearable devices loosely, gaps often appear in the corresponding limb area. When users wear wearable devices too tightly, the limb area will be squeezed excessively. In these scenarios, the physiological signal data collected by wearable devices is often inaccurate, and there are problems such as low confidence in the measurement results and low data accuracy. Summary of the invention

[0004] In order to solve the problems of related technologies and improve the accuracy of physiological signal data collected by wearable devices, the embodiments of the present application provide a data measurement method, device, wearable device and storage medium. The technical solution is as follows:

[0005] In one aspect, the present application provides a data measurement method, which is applied to a wearable device, wherein the wearable device at least includes a filling module and a data measurement module, and the method includes:

[0006] When the wearable device is in a worn state, receiving a measurement operation on physiological signal data;

[0007] In response to the measuring operation, obtaining an internal pressure value of the filling module;

[0008] When the internal pressure value of the filling module is within a preset pressure range, measuring the physiological signal data of the user through the data measurement module;

[0009] The preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than the preset quality threshold selected from the target data set; the target data set is the user physiological signal data measured by adjusting the internal pressure value of the filling module to change between the first preset pressure value and the second preset pressure value.

[0010] In one aspect, the present application provides a data measurement device, which is applied to a wearable device, wherein the wearable device at least includes a filling module and a data measurement module; the device includes:

[0011] A first receiving module, configured to receive a measurement operation on physiological signal data when the wearable device is in a worn state;

[0012] A first acquisition module, configured to acquire an internal pressure value of the filling module in response to the measurement operation;

[0013] a first measuring module, configured to measure the physiological signal data of the user through the data measuring module when the internal pressure value of the filling module is within a preset pressure range;

[0014] Among them, the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than the preset quality threshold selected in the target data set; the target data set is the user physiological signal data measured by adjusting the internal pressure value of the filling module during the process of changing between the first preset pressure value and the second preset pressure value.

[0015] In another aspect, the present application provides a wearable device, comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is executed by the processor to implement the data measurement method as described in one aspect.

[0016] In another aspect, the present application provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is executed by a processor to implement the data measurement method as described in one aspect.

[0017] On the other hand, an embodiment of the present application provides a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the data measurement method as described in one aspect above.

[0018] On the other hand, an embodiment of the present application provides an application publishing platform, which is used to publish a computer program product, wherein when the computer program product runs on a computer, the computer executes the data measurement method as described in one aspect above.

[0019] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0020] When the wearable device is in a worn state, a measurement operation for physiological signal data is received; in response to the measurement operation, an internal pressure value of the filling module is obtained, and when the internal pressure value of the filling module is within a preset pressure range, the physiological signal data of the user is measured by the data measurement module; the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than a preset quality threshold selected from the target data set; the target data set is the user's physiological signal data measured during the process of adjusting the internal pressure value of the filling module to change between a first preset pressure value and a second preset pressure value. The wearable device of the present application can respond to a measurement operation. When it is necessary to measure physiological signal data, the wearable device can obtain the current internal pressure value of its own filling module, and measure the physiological signal data when the internal pressure value of the filling module is within a preset pressure range. Since the preset pressure range is determined based on the pressure value corresponding to the physiological signal data selected from the target data set and having data quality higher than a preset quality threshold, measurement is performed when the internal pressure value of the filling module of the wearable device is within the preset pressure range. This ensures that the data quality of the currently collected physiological signal data is at least higher than the preset quality threshold, thereby improving the quality of the physiological signal data collected each time, thereby increasing the confidence in the measurement results and improving the accuracy of the collected physiological signal data. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 is a schematic structural diagram of an example of a wearable device provided in an embodiment of the present application;

[0023] Figure 2 is a schematic diagram of a wearing scenario of a wearable device involved in an exemplary embodiment of the present application;

[0024] Figure 3 is a method flow chart of a data measurement method provided by an exemplary embodiment of the present application;

[0025] Figure 4 is a schematic structural diagram of a wearable device involved in an exemplary embodiment of the present application;

[0026] Figure 5 is a flow chart of a method for setting a preset pressure range provided by an exemplary embodiment of the present application;

[0027] Figure 6 is a method flow chart of a data measurement method provided by an exemplary embodiment of the present application;

[0028] Figure 7 is a schematic diagram of an interface of a target measurement interface involved in an exemplary embodiment of the present application;

[0029] Figure 8 is a schematic structural diagram of a smart watch involved in an exemplary embodiment of the present application;

[0030] Fig. 9 This is a flow chart of setting a personalized preset pressure range for a smart watch according to an exemplary embodiment of the present application;

[0031] Fig.10 is a flow chart of a method for measuring physiological signal data by a smart watch according to an exemplary embodiment of the present application;

[0032] Fig.11 is a structural block diagram of a data measurement device provided by an exemplary embodiment of the present application;

[0033] Fig.12 It is a structural diagram of another example of a data measurement device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0035] The term "multiple" as used herein refers to two or more than two. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.

[0036] The solution provided in the present application can be used in scenarios where people use wearable devices to collect human physiological signal data in daily life. For ease of understanding, the application scenarios involved in the embodiments of the present application are first briefly introduced below.

[0037] With the development of science and technology, various wearable devices have appeared in people's daily lives, and people can use wearable devices to monitor their own health. For example, most wearable devices now have the function of obtaining electrocardiograms. Wearable devices can capture the weak current generated by the user's heart electrical activity and convert it into digital signals for analysis and processing, thereby obtaining electrocardiogram-related information such as heart rate.

[0038] Please refer to Figure 1 , is a schematic diagram of an example of a wearable device provided in an embodiment of the present application. Figure 1 The wearable device shown includes components such as a processor 110, a memory 120, a transceiver 130, a display unit 140, an input unit 150, a sensor 160, an audio circuit 170, and a battery module 180.

[0039] The processor 110 is the control center of the wearable device, and uses various interfaces and lines to connect various parts of the entire wearable device. By running or executing software programs and / or modules stored in the memory 120, and calling data stored in the memory 120, the processor 110 performs various functions of the wearable device and processes data, thereby monitoring the wearable device as a whole. Optionally, the processor 110 may include one or more processing units; optionally, the processor 110 may integrate an application processor, which mainly processes operating devices, user interfaces, and application programs, etc. Of course, other processors may also be included, which are not listed here one by one.

[0040] The memory 120 can be used to store software programs and modules. The processor 110 executes various functional applications and data processing of the wearable device by running the software programs and modules stored in the memory 120. The memory 120 may mainly include a program storage area and a data storage area, wherein the program storage area may store operating devices, applications required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the wearable device (such as audio data, phone book, etc.), etc. In addition, the memory 120 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0041] The transceiver 130 can provide wireless communication solutions for wearable devices, including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared (IR), etc. The transceiver 130 can be one or more devices integrating at least one communication processing module, for example, integrating an antenna and a baseband processor into the transceiver 130, or integrating an antenna and a modem processor into the transceiver 130, etc., without limitation.

[0042] The display unit 140 may be used to display information input by the user or information provided to the user and various menus of the wearable device. The display unit 140 may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), etc., which is not limited here.

[0043] The input unit 150 can be used to receive input digital or character information, and to generate key signal input related to user settings and function control of the wearable device. Specifically, the input unit 150 can collect the user's operations on or near it, and drive the corresponding connection device according to a pre-set program. In addition, the input unit 150 may include a touch panel, which can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel, the input unit 150 may also include other input devices. Specifically, other input devices may include, but are not limited to, one or more of function keys (such as volume control buttons, switch buttons, etc.), trackballs, joysticks, etc.

[0044] The wearable device may also include at least one sensor 160, such as a gyroscope sensor, a motion sensor, and other sensors. The motion sensor may include an accelerometer sensor for detecting the magnitude of acceleration in all directions, and the magnitude and direction of gravity when stationary, which can be used for applications that identify the posture of the wearable device, such as horizontal and vertical screen switching, related games, magnetometer posture calibration, etc. As for other sensors that can be configured in the wearable device, such as a pressure gauge, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., they will not be described in detail here.

[0045] The audio circuit 170 may include a speaker and a microphone, and may provide an audio interface between the user and the wearable device. The audio circuit 170 may transmit the electrical signal converted from the received audio data to the speaker, which is converted into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 170 and converted into audio data, and then the audio data is output to the processor 110 for processing, and then sent to another wearable device through the video circuit, or the audio data is output to the memory 120 for further processing.

[0046] The wearable device also includes a battery module 180 for supplying power to various components. Optionally, the battery module 180 can be logically connected to the processor 110 through a power management device, so that the power management device can manage functions such as charging, discharging, and power consumption.

[0047] Although not shown, the wearable device may further include a camera. Optionally, the camera may be located in the front or rear of the wearable device, which is not limited in the present embodiment.

[0048] It is understood that the structure illustrated in the embodiments of the present application does not constitute a specific limitation on the wearable device. In other embodiments of the present application, the wearable device may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0049] Optionally, the wearable device may include but is not limited to a smart bracelet, a smart watch, a smart belt, a smart shoulder strap, a smart headband, a smart ring, a smart glasses, a laptop computer, etc. The battery module of the wearable device may support wired charging or wireless charging.

[0050] Please refer to Figure 2 , which shows a schematic diagram of a wearing scenario of a wearable device involved in an exemplary embodiment of the present application. Figure 2 As shown, a user 200 can wear a wearable device 201 on his wrist. The current wearable device 201 can provide a variety of monitoring functions, and the user can use the wearable device 201 to collect human physiological signals such as his blood pressure and heart rate.

[0051] For example, in the relevant technology, in order to enable the wearable device to achieve the effect of collecting heart rate, it is usually necessary to install a pulse oximeter in the wearable device. The pulse oximeter usually uses photoplethysmography (PPG), which can use a green (Light-Emitting Diode, LED) and a photodiode to measure blood flow changes at the wrist. When the heartbeat accelerates, the blood flow at the wrist will also increase, resulting in an increase in the intensity of light received by the photodiode. By analyzing the changes in light intensity, the heart rate can be calculated. Of course, other sensors can also be used to collect heart rate, and there is no restriction on this.

[0052] When users wear wearable devices, they sometimes wear them too tight or too loose. Wearable devices that are too tight can compress the blood vessels at the wrist and hinder the normal blood circulation. This may cause symptoms such as swelling, numbness, and coldness in the hands. Moreover, if they are too tight, it will also affect the measurement data collected by various sensors. For example, wearing heart rate sensors and blood oxygen sensors too tightly may affect the blood circulation at the wearing site, resulting in low blood perfusion, which will lead to inaccurate measurement data.

[0053] In order to solve the problems existing in the above-mentioned related technologies and improve the accuracy of physiological signal data collected by wearable devices, the present application provides a data measurement method. When it is necessary to measure physiological signal data, the internal pressure value of the filling module can be adjusted so that the internal pressure value of the filling module is within a preset pressure range, and then measurement can be performed to ensure the quality of the measured physiological signal data and improve the confidence of the measurement results.

[0054] Please refer to Figure 3 , which shows a method flow chart of a data measurement method provided by an exemplary embodiment of the present application, the data measurement method can be applied to a wearable device, the wearable device at least includes a filling module and a data measurement module. Figure 3 As shown, the data measurement method may include the following steps:

[0055] Step 301: When the wearable device is in a worn state, a measurement operation of physiological signal data is received.

[0056] Optionally, in this solution, the wearable device can autonomously detect its own state and determine whether it is in a worn state or not worn state. For example, the wearable device can detect through a distance sensor. If the distance is close, it can be determined that it is currently in a worn state. If the distance is far, it can be determined that it is not worn. Of course, in actual applications, there are many ways to detect whether the wearable device is worn or not worn, and this application does not specifically limit this.

[0057] Optionally, when the wearable device is in the wearing state, the user or the wearable device can trigger the measurement operation of the physiological signal data, and accordingly, the wearable device will also receive the measurement operation of the physiological signal data. There are many types of physiological signal data, such as blood oxygen saturation, heart rate, blood flow rate, user's body temperature, skin electrical activity, breathing rate and other physiological signal data. What kind of physiological signal data the wearable device can collect can be determined by the function configured by the developer. Some wearable devices can collect multiple physiological signal data, and the user can trigger it to measure one or more of the physiological signal data.

[0058] Step 302: In response to the measurement operation, obtain the internal pressure value of the filling module.

[0059] Optionally, the wearable device can obtain the internal pressure value of the filling module in response to the above measurement operation. The filling module is designed to be connected to the wearable component of the wearable device. When the user wears the wearable device, the wearable device needs to be worn on his or her limbs with the assistance of the wearable component, and the filling module is located between the wearable component and the user's limbs. The change in the internal pressure value of the filling module can change the tightness of the wearable device worn by the user.

[0060] In some embodiments, the internal pressure value can be measured by a pressure sensor. If the pressure sensor is an air pressure sensor, the internal pressure value of the filling module is obtained in response to the measurement operation, including: in response to the measurement operation, the filling module is inflated or deflated to obtain the internal pressure value. For example, if the filling module may not be inflated when the pressure value is sampled, the filling module can be inflated first to determine whether the air pressure value after inflation meets the requirements (such as whether it is within a preset range); if the filling module has been inflated with gas when the measurement starts, the pressure value inside the filling module can be directly measured.

[0061] Please refer to Figure 4 , which shows a schematic diagram of the structure of a wearable device involved in an exemplary embodiment of the present application. Figure 4 As shown, the wearable device 400 includes a wearing component 401 and a filling module 402. Figure 4 In the embodiment, the user can tie the wearable device 400 to the corresponding limb position through the wearing component 401, so that the filling module 402 is in direct contact with the limb to achieve the wearing effect. In addition to changing the tightness of wearing by adjusting the length of the wearing component 401, the user can also change the tightness of wearing the wearable device by changing the internal pressure value of the filling module 402. For example Figure 4 It is a smart headband device that users can wear on their heads to monitor their brain waves.

[0062] After the wearable device receives the measurement operation, it indicates that the physiological signal needs to be measured. For example, a pressure sensor is provided on the filling module of the wearable device, and the internal pressure value of the filling module is obtained through the pressure sensor.

[0063] Step 303: When the internal pressure value of the filling module is within a preset pressure range, the physiological signal data of the user is measured by the data measurement module.

[0064] The preset pressure range is determined based on the pressure value corresponding to the physiological signal data selected from the target data set whose data quality is higher than the preset quality threshold. For example, the preset pressure range is the pressure value range corresponding to the physiological signal data selected from the target data set whose data quality is higher than the preset quality threshold; for another example, the preset pressure value can also be a range of pressure values ​​selected from the pressure values ​​corresponding to the physiological signal data selected from the target data set whose data quality is higher than the preset quality threshold. The target data set is the user's physiological signal data measured during the process of adjusting the internal pressure value of the filling module to change between the first preset pressure value and the second preset pressure value.

[0065] It is understandable that when the internal pressure value of the filling module is within the preset pressure range, it can be any pressure value within the preset pressure range. For example, the preset pressure range can be a certain pressure value (such as P1) or between two pressure values ​​(such as P1 to P3) or multiple discontinuous pressure value ranges (P1 to P3, P5 to P8). Being within the preset pressure range may include values ​​at both ends of the preset pressure value, or may not include values ​​at both ends of the preset pressure value, and there is no limitation on this.

[0066] In some embodiments, the method further includes: if the pressure value is not within the preset pressure range, adjusting the internal pressure value of the filling module to within the preset pressure range. It is understandable that if the current pressure value is already within the preset pressure range, no further adjustment is required.

[0067] In some embodiments, the preset pressure range is used to meet the collection of one or more types of physiological signal data, for example, the collection of one or more related physiological signal data of heart rate, blood pressure, blood oxygen, body temperature, and electrocardiogram signal.

[0068] In this solution, the internal pressure value of the filling module is first obtained, and then the measurement is performed after it is determined to be within the preset pressure range. The preset pressure range is the range determined based on part or all of the pressure values, after the wearable device is worn by the user, the physiological signal data is collected and analyzed under the condition that the internal pressure value of the filling module is adjusted to different pressure values, and the pressure value corresponding to the physiological signal data with data quality higher than the preset quality threshold is obtained.

[0069] Among them, the set of data obtained by collecting physiological signal data when adjusting the internal pressure value of the filling module to different pressure values ​​is the target data set. For example, by adjusting the internal pressure value of the filling module between the first preset pressure value and the second preset pressure value, there will be corresponding sampling pressure values ​​(for example, the sampling pressure value can be understood as the pressure value corresponding to the collection of physiological signal data). For each sampling pressure value, the wearable device can collect a set of physiological signal data. If the data quality of a set of physiological signal data is higher than the preset quality threshold, then the sampling pressure value corresponding to the collection of the set of physiological signal data is within the preset pressure range. In this way, the data quality of the set of physiological signal data corresponding to the lowest sampling pressure value within the preset pressure range is at least higher than the preset quality threshold, thereby ensuring that when measurement is required later, the quality of the physiological signal data obtained by directly adjusting the internal pressure value of the filling module to the preset pressure range and then measuring is also higher than the preset quality threshold.

[0070] It can be understood that the pre-set preset pressure range is a pressure range corresponding to better data quality (higher than the preset quality threshold) obtained in advance through data collection and screening, which can be collected and screened by the user independently, and then set in the wearable device for use when performing data measurement.

[0071] Optionally, the above-mentioned data measurement module can be set in a wearable device and used specifically for measuring physiological signal data. For example, if the wearable device is a smart watch, the data measurement module can be in the watch body. The user's heart rate is collected through the data measurement module. In this solution, after adjusting the internal pressure value of the filling module to a preset pressure range, the data measurement module is used to collect relevant data for calculating the user's heart rate, thereby finally calculating and acquiring the heart rate. Of course, the specific position of the data measurement module in the wearable device is also set by the developer before the wearable device leaves the factory. Here, only the smart watch is used as an example.

[0072] To summarize, when the wearable device is in a worn state, a measurement operation on physiological signal data is received; in response to the measurement operation, the internal pressure value of the filling module is obtained, and when the internal pressure value of the filling module is within a preset pressure range, the physiological signal data of the user is measured through the data measurement module; the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than a preset quality threshold selected from the target data set; the target data set is the user physiological signal data measured during the process of adjusting the internal pressure value of the filling module to change between a first preset pressure value and a second preset pressure value. The wearable device of the present application can respond to a measurement operation. When it is necessary to measure physiological signal data, the wearable device can obtain the current internal pressure value of its own filling module, and measure the physiological signal data when the internal pressure value of the filling module is within a preset pressure range. Since the preset pressure range is determined based on the pressure value corresponding to the physiological signal data selected from the target data set and having data quality higher than a preset quality threshold, measurement is performed when the internal pressure value of the filling module of the wearable device is within the preset pressure range. This ensures that the data quality of the currently collected physiological signal data is at least higher than the preset quality threshold, thereby improving the quality of the physiological signal data collected each time, thereby increasing the confidence in the measurement results and improving the accuracy of the collected physiological signal data.

[0073] In one possible implementation, the wearable device can provide the user with the function of setting the above preset pressure range. Before using the wearable device, the user can trigger the corresponding control after wearing the wearable device, so that the wearable device automatically adjusts the internal pressure value of the filling module from the first preset pressure value to the second preset pressure value, and collects the user's physiological signal data at each sampled pressure value to complete the setting of the personalized preset pressure range. For example, when the user uses the wearable device for the first time, this process completes the personalized setting for himself.

[0074] Please refer to Figure 5 , which shows a flow chart of a method for setting a preset pressure range provided by an exemplary embodiment of the present application, such as Figure 5 As shown, the wearable device can perform the following steps:

[0075] Step 501: When the wearable device is in a wearing state, adjust the internal pressure value of the filling module.

[0076] Optionally, after wearing the wearable device, the user can start executing the process of this solution by triggering the setting control of the preset pressure range. Optionally, the setting control can be a virtual control or a physical control on the wearable device. If the wearable device is provided with a physical control, the user can trigger the physical control so that step 501 is started when the wearable device is worn. If the wearable device is provided with a touch screen display, the user can display the virtual control on the touch screen display through a series of operations, and after triggering the virtual control, step 501 is started when the wearable device is worn.

[0077] In one possible implementation, the wearable device is in a worn state, and adjusting the internal pressure value of the filling module may be to transform the internal pressure value from a first preset pressure value to a second preset pressure value; or, to transform the internal pressure value from the second preset pressure value to the first preset pressure value.

[0078] Optionally, the filling module adjusts the internal pressure value of the filling module by filling the internal space of the filling module with fluid material. The fluid material may be a gas material or a liquid material. Taking the gas material as an example, the filling module may include an air pressure pump. When the internal pressure value needs to be increased, air is added to the internal space of the filling module through the air pressure pump to increase the internal pressure value. When the internal pressure value needs to be reduced, the air can be discharged to the outside through the air pressure pump to reduce the internal pressure value. If the fluid material is a liquid material, when the internal pressure value needs to be increased, water is injected into the internal space of the filling module to increase the internal pressure value. When the internal pressure value needs to be reduced, the water can be discharged to the outside to reduce the internal pressure value.

[0079] Optionally, the pressure increase and / or pressure relief process may be a constant rate or a variable rate. For example, in this solution, in order to measure the physiological signal data of the user at each sampling pressure value, the internal pressure value of the filling module may be changed from the first preset pressure value to the second preset pressure value, or the internal pressure value of the filling module may be first increased to the second preset pressure value and then gradually changed to the first preset pressure value. The pressure value adjusted each time in this process may be preset by the developer.

[0080] For example, in order to make the sampling of physiological data more accurate, it is also possible to stay at each sampled pressure value for a preset time, especially when collecting multiple physiological data. In some embodiments, the original physiological signal can be collected without algorithm processing, and the quality of the original physiological signal can be directly viewed. It may not be necessary to stay for too long, especially for some physiological signal data with fast collection speed, thereby reducing the impact of long sampling time on user experience. There may be differences depending on the characteristics of the collected physiological signal data, and there is no limitation on this.

[0081] It should be noted that the above adjustment process is not limited to the change from the first preset pressure value to the second preset pressure value. In actual operation, it can also start from the current internal pressure value, or change from the second preset pressure value to the first preset pressure value. As long as the pressure range enclosed by the first preset pressure value and the second pressure value is traversed, the specific adjustment process is not limited in this scheme.

[0082] Step 502: At each sampled pressure value, the physiological signal data of the user is measured by a data measurement module to obtain each set of physiological signal data.

[0083] Optionally, each sampled pressure value is selected between a first preset pressure value and a second preset pressure value. For example, each sampled pressure value may be a pressure value increased at a preset interval. Optionally, when the internal pressure value of the filling module reaches a sampled pressure value, the wearable device may automatically start the data measurement module to measure the physiological signal data of the user to obtain a set of physiological signal data. Each sampled pressure value is measured once to obtain each set of physiological signal data.

[0084] Optionally, the size and number of specific sampling pressure values ​​can be preset by the developer. For example, the first preset pressure value of the filling module of the wearable device is pressure value one, and the second preset pressure value is pressure value two. In the interval from pressure value one to pressure value two, the developer can set 10 sampling pressure values. During the adjustment process of step 501 above, each time one of the sampling pressure values ​​is reached, physiological signal data will be collected once, thereby obtaining 10 groups of physiological signal data. Taking the physiological signal data as blood pressure, heart rate or blood oxygen as an example, the data measurement module of the wearable device uses the PPG method to collect data. Then, during the adjustment process of step 501 above, each time the sampling pressure value is reached, the data measurement module can start the collection of PPG signals to obtain a group of PPG signals. Similarly, in the process of continuously increasing or decreasing the internal pressure value, the user's PPG signal at each sampling pressure value is continuously obtained and recorded to obtain each group of physiological signal data.

[0085] It is understandable that the selection of the sampling pressure value can be based on comprehensive considerations such as the characteristics of the physiological signal data, sampling duration, and signal quality. The preset interval can be a fixed interval or a variable interval. For example, when the quality of the collected physiological signal data is particularly poor, the preset interval can be increased to adjust the sampling point. When the quality of the collected physiological signal data is good, the preset interval can be reduced to adjust the sampling point. For example, when the quality of the physiological signal data becomes worse with increasing pressure or decreasing pressure, sampling can be stopped when the preset quality threshold is exceeded.

[0086] In some embodiments, since the sampling point selection interval is too large, there may be physiological signal data that meets the quality requirements and does not meet the quality requirements between two sampling points. In this case, in order to find the critical point (such as the boundary point of the preset pressure range), fine-tuning can also be performed by pressurizing or releasing pressure.

[0087] Step 503: Perform quality analysis on each set of physiological signal data to obtain the data quality corresponding to each set of physiological signal data.

[0088] Optionally, through step 501 to step 502, the wearable device can obtain each group of physiological signal data corresponding to different sampling pressure values, and the wearable device can obtain the quality of each group of physiological signal data by performing quality analysis on each group of collected physiological signal data.

[0089] In some embodiments, quality analysis may be performed after a set of physiological signal data is collected to determine the quality of the current set of physiological signal data, thereby adjusting sampling parameters according to the quality situation, such as the sampling interval, or determining whether to sample after inflation or deflation, or determining whether sampling needs to be stopped.

[0090] In some embodiments, quality analysis may be performed after all groups of physiological signal data are collected, so that the pressure of the filling module does not need to be repeatedly adjusted. However, if a larger interval is used, the measured preset pressure range may not be so precise.

[0091] Still taking the physiological signal data of blood pressure, heart rate or blood oxygen as an example, the wearable device collects the corresponding PPG signals under different sampling pressure values. The wearable device can analyze the signal integrity and signal quality of the obtained PPG signals, and compare the PPG signals under different pressure values ​​before and after.

[0092] Optionally, different physiological signal data are often evaluated based on different quality assessment methods. This solution does not limit how to analyze each set of physiological signal data and how to obtain the quality of the physiological signal data. For example, in this solution, the wearable device will set a corresponding quality assessment method for the measured physiological signal data provided by itself, and evaluate the collected physiological signal data based on the quality assessment method to obtain the data quality of each set of physiological signal data, reflecting the quality of each set of collected physiological signal data. For example, for the PPG signal corresponding to the above-mentioned blood pressure collection, during the analysis process, the quality assessment method needs to combine multiple features such as the waveform and amplitude of the PPG signal to evaluate the signal quality of a certain set of PPG signals. By evaluating each set of PPG signals, their respective data quality can be obtained.

[0093] Step 504: Obtain a preset pressure range according to the data quality corresponding to each set of physiological signal data and a preset quality threshold.

[0094] For the data quality of each set of physiological signal data obtained, the wearable device can use a preset quality threshold to filter, so as to obtain the preset pressure range that meets the screening. For example, not all pressure values ​​corresponding to physiological signal data with quality higher than the preset quality threshold are used to set the preset pressure range, and further selection can be made from these data, such as selecting those with higher user comfort, or selecting those that meet the needs of multiple physiological signal data measurements, or selecting those that save more power. In addition, the preset quality threshold can be set based on the signal collected by the gold standard device.

[0095] In one possible implementation, the wearable device may perform step 504 as follows: obtain each group of physiological signal data that is higher than a preset quality threshold from each group of physiological signal data; obtain the upper limit value of the preset pressure range according to the sampled pressure value corresponding to the first physiological signal data; the first physiological signal data is the physiological signal data with the highest data quality among the groups of physiological signal data that are higher than the preset quality threshold; obtain the lower limit value of the preset pressure range according to the sampled pressure value corresponding to the second physiological signal data; the second physiological signal data is the physiological signal data with the lowest data quality among the groups of physiological signal data that are higher than the preset quality threshold; obtain the preset pressure range according to the upper limit value of the preset pressure range and the lower limit value of the preset pressure range. It can be understood that the range between the upper limit value and the lower limit value can be used as the preset pressure range, or part of the range can be selected as the preset pressure range.

[0096] In one possible implementation, the preset quality threshold may be pre-set in the wearable device. For example, the preset quality threshold is represented by QR, and the data quality corresponding to each set of physiological signal data is compared with the preset quality threshold QR, and each set of physiological signals higher than the preset quality threshold QR is marked, and two sets of physiological signal data with the lowest data quality and the highest data quality are selected from these sets of physiological signal data higher than the preset quality threshold, and the corresponding sampled pressure values ​​are obtained, and the sampled pressure value corresponding to the first physiological signal data is used as the upper limit value of the preset pressure range, and the sampled pressure value corresponding to the second physiological signal data is used as the lower limit value of the preset pressure range, and part or all of the interval from the lower limit value to the upper limit value is obtained as the preset pressure range.

[0097] In a possible implementation, the above-mentioned preset quality threshold can also be determined by the wearable device in combination with the user's physiological characteristic information and tightness. For example, the wearable device can obtain the physiological characteristic information of the human body area to be detected; obtain the target tightness based on the physiological characteristic information, and the target tightness is the tightness corresponding to the theoretical comfort level reached by the human body area to be detected after the user wears the wearable device; and determine the preset quality threshold based on the target tightness and the physiological characteristic information.

[0098] Among them, the physiological characteristic information of the human body area can be input by the user independently. For example, some wearable devices contain input / import controls for the physiological characteristic information of the human body area to be detected. The user can input his own physiological characteristic information into the wearable device through the input / import control, and the wearable device will store it for the user. Alternatively, the wearable device can also have the function of collecting these physiological characteristic information. When the user wears the wearable device, the wearable device collects the corresponding physiological characteristic information of the human body area to be detected, thereby obtaining the physiological characteristic information of the human body area to be detected.

[0099] In some embodiments, the user can also select a range that meets the user's wearing comfort from the pressure values ​​corresponding to the measured physiological signal data whose quality is higher than a preset quality threshold as the preset pressure range. For example, the preset pressure range that meets the user's wearing comfort can be determined by inflating the filling module to the corresponding pressure value and asking the user to provide feedback on their comfort.

[0100] Optionally, the physiological characteristic information includes one or more of skin tissue characteristics, blood vessel depth, bone density, subcutaneous blood flow velocity, subcutaneous fat thickness, etc. of the human body area to be detected.

[0101] Taking a smart watch that is a wearable device with a touch screen as an example, the human body area to be detected is the user's wrist. After the user wears the smart watch, the function of obtaining the physiological characteristics information of the wrist can be triggered, and the smart watch starts to collect and obtain the physiological characteristics information of the user's wrist.

[0102] Optionally, since the physiological characteristics of different users are different, the most comfortable tightness that can be achieved theoretically when the wearable device is worn on different users is different. The wearable device can be set with corresponding target tightness in advance for various physiological characteristics. After obtaining the physiological characteristics of the current user, the target tightness corresponding to the currently obtained physiological characteristics can be obtained by querying the mapping relationship with the target tightness. For example, please refer to Table 1, which shows a mapping relationship between target tightness corresponding to different physiological characteristics involved in an exemplary embodiment of the present application.

[0103] Table 1

[0104] Physiological characteristics information Target tightness User 1's physiological characteristics information Target tightness level 1 User 2's physiological characteristics information Target tightness level 2 User 3's physiological characteristics information Target tightness level three …… ……

[0105] Table 1 can be used to obtain the tightness corresponding to the theoretical comfort level of the human body area to be detected of the current user, and determine the preset quality threshold according to the target tightness and physiological characteristic information.

[0106] Optionally, the wearable device can determine the preset quality threshold based on the target tightness and physiological characteristic information as follows: after adjusting the tightness of the wearable device worn by the user to the target tightness, the user's physiological signal data is collected and the corresponding data quality is obtained, and the data quality is used as the preset quality threshold corresponding to the user's physiological characteristic information at the target tightness.

[0107] In one possible implementation, the wearable device also includes a host module, which stores user information of each user. When the wearable device obtains the physiological characteristic information of the human body area to be detected, it can also be as follows: the host module is used to identify the current wearer; based on the identification result, the user information of the current wearer is determined; based on the user information, the physiological characteristic information corresponding to the user information is obtained.

[0108] For example, when the wearable device has stored the physiological characteristic information of the user, the physiological characteristic information corresponding to each user is stored by binding the user information. When using the wearable device, the user is identified by the host module of the wearable device, and the current user is identified as user one. When the physiological characteristic information needs to be obtained, the physiological characteristic information corresponding to user one is obtained. If the identified user is user two, the physiological characteristic information corresponding to user two is obtained when the physiological characteristic information needs to be obtained. Optionally, the host module can identify the user by multiple identification methods such as face recognition and fingerprint recognition.

[0109] It should be noted that in actual applications, a wearable device can collect multiple physiological signal data. For example, the wearable device is equipped with a heart rate sensor and a blood oxygen sensor, which can measure the heart rate and the blood oxygen saturation. Therefore, the types of physiological signal data collected are also of various types. In this solution, different preset pressure ranges can be set for different types of physiological signal data. In the above example, the quality of the PPG signal for the measurement of heart rate is taken as an example to finally determine the preset pressure range corresponding to the measurement of heart rate. If the user measures the blood oxygen saturation, the wearable device is also required to use red LED and photodiode to measure the blood flow changes at the wrist. According to the absorption of light of different wavelengths, the saturation of oxygen in the blood can be inferred. Correspondingly, the preset pressure range corresponding to the measurement of blood oxygen saturation is based on the physiological signal data in the process of collecting blood oxygen saturation. After evaluating the data quality, the corresponding preset quality threshold is used for screening, that is, the above-mentioned process of steps 501 to 504 is executed to determine the preset pressure range corresponding to the physiological signal data of blood oxygen saturation.

[0110] Optionally, the preset quality threshold used above is also different based on different types of physiological signal data.

[0111] Optionally, through the above Figure 5 In the method flow shown, the user can set a personalized preset pressure range corresponding to his or her own physiological characteristic information in the wearable device. When the wearable device needs to be used to measure physiological signal data in the future, the wearable device can directly adjust the internal pressure value of the filling module to this preset pressure range, and then perform the measurement.

[0112] Please refer to Figure 6 , which shows a method flow chart of a data measurement method provided by an exemplary embodiment of the present application, the data measurement method can be applied to a wearable device, the wearable device at least includes a filling module, a data measurement module and a host module. Figure 6 As shown, the data measurement method may include the following steps:

[0113] Step 601: When the wearable device is in a wearing state, a host module receives a measurement operation for measuring physiological signal data of a target type.

[0114] Optionally, the wearable device performs human-computer interaction with the user through the host module, and the host module can receive the user's targeted measurement of a certain type of physiological signal data.

[0115] In one possible implementation, the host module includes a touchable display screen, and the wearable device may execute step 601 as follows: displaying a target measurement interface on the touchable display screen, the target measurement interface including a selection control for selecting various physiological signal data; in response to a triggering operation on the target selection control, the host module receives a measurement operation to measure physiological signal data of a target type, and determines the data type of the physiological signal data corresponding to the triggered target selection control as the target type.

[0116] Please refer to Figure 7 , which shows a schematic diagram of a target measurement interface involved in an exemplary embodiment of the present application. Figure 7 As shown, in the target measurement interface 700, there are selection controls 701, measurement controls 702, and cancel controls 703 for each physiological signal data. Optionally, the user can display the target measurement interface on the display screen through a series of operations, and the user selects any one of the physiological signal data selection controls 701 and triggers the measurement control 702. The wearable device receives the user's triggering operation on the target selection control, and in response to the triggering operation of the target selection control, determines the data type of the physiological signal data corresponding to the triggered target selection control as the target type. For example, if in the above Figure 7 If you select Blood Pressure in Figure 7 If you select Heart Rate in the Target Type field, then the target type is Heart Rate.

[0117] In one possible implementation, the wearable device may also perform step 601 as follows: the host module periodically measures the target type of physiological signal data according to a preset period. The preset period may be user-defined. For example, the user needs to use the wearable device to continuously monitor his or her blood pressure. In order to facilitate the wearable device to measure autonomously, the preset period (such as once an hour) may be set in advance. When the user wears the wearable device, the blood pressure will be actively measured once every hour. At this time, the wearable device receives the measurement operation of the physiological signal data, which is the measurement operation corresponding to the host module measuring the target type of physiological signal data after each preset period arrives.

[0118] Optionally, when performing blood pressure measurement as mentioned above, the filling module of the wearable device is also configured for blood pressure measurement. The physiological signal data measured using the data measurement module may be a blood pressure signal or a non-blood pressure signal. For example, wristband blood pressure measurement may be achieved through the filling module, and strapless blood pressure measurement may be achieved through a PPG sensor. The principles of the two are different, and they may cooperate with each other to improve the accuracy of blood pressure measurement.

[0119] In some embodiments, the filling module may include a bladder belt for blood pressure measurement.

[0120] In some embodiments, the physiological signal data includes data collected by one or more of the photoelectric volumetric graph (PPG) sensor, electrocardiogram (ECG) sensor, temperature sensor, and inertial measurement unit (IMU) of the data measurement module. The wearable device obtains the required blood pressure value by calculation. Figure 5 In the collection process shown, the wearable device can collect the user's physiological signal data to obtain a target data set during the process of pressurizing and / or depressurizing the filling module during blood pressure detection.

[0121] In some embodiments, the wearable device can measure physiological signal data during the pressurization and / or pressure relief process, and collect physiological signal data at a pressure value that meets a preset pressure range during the pressurization and / or pressure relief process, thereby collecting physiological signal data while measuring blood pressure with a wristband and requiring pressurization or pressure relief, thereby simplifying the operating process and saving time compared to measuring flow separately.

[0122] In some embodiments, the wearable device can also determine the preset pressure range during the process of pressurizing and / or depressurizing the filling module during blood pressure detection. It is understandable that the filling module needs to be pressurized and depressurized during the wristband blood pressure detection process. Therefore, using a certain period of time to refer to the method of the relevant embodiment of the present application to determine the preset pressure range can also save the user's time for separate determination and facilitate user operation.

[0123] It is understandable that in the above manner, the selection of the stage of pressurization and / or depressurization for performing the above operation needs to minimize the impact on the wristband blood pressure measurement.

[0124] Step 602: In response to the measurement operation, obtain the internal pressure value of the filling module.

[0125] Optionally, the wearable device obtains the current internal pressure value of the filling module in response to each measurement operation that requires measuring physiological signal data. The internal pressure value of the filling module can be obtained through a pressure sensor.

[0126] Step 603: Acquire a preset pressure range corresponding to the physiological signal data of the target type.

[0127] Step 604: If the pressure value is not within the preset pressure range, adjust the internal pressure value of the filling module to be within the preset pressure range.

[0128] Optionally, in addition to obtaining the current internal pressure value of the filling module, the wearable device also obtains a preset pressure range corresponding to the physiological signal data of the target type, and decides how to adjust the internal pressure value of the filling module by judging the relationship between the current internal pressure value and the preset pressure range.

[0129] Optional, above Figure 5 The process can set corresponding preset pressure ranges for various types of physiological signal data. When actually measuring, the internal pressure value of the filling module needs to be adjusted to the preset pressure range corresponding to the type of physiological signal data being measured.

[0130] Optionally, the wearable device may execute step 604 as follows: if the internal pressure value of the filling module is greater than the upper limit value of the preset pressure range, the internal pressure value of the filling module is reduced so that the internal pressure value of the filling module is within the preset pressure range; and / or, if the internal pressure value of the filling module is less than the lower limit value of the preset pressure range, the internal pressure value of the filling module is increased so that the internal pressure value of the filling module is within the preset pressure range.

[0131] For example, in the preset pressure range [N1, N2], after obtaining the current internal pressure value N of the filling module, if N is less than N1, it means that the current internal pressure value of the filling module is too small and the internal pressure value of the filling module needs to be increased. If N is greater than N2, it means that the current internal pressure value of the filling module is too large and the internal pressure value of the filling module needs to be reduced. To adjust the pressure value of the filling module, refer to the above Figure 5 The description in the embodiment will not be repeated here. Of course, if N is just within the preset pressure range [N1, N2], that is, N1≦N≦N2, then there is no need to adjust the internal pressure value of the filling module.

[0132] Optionally, when the internal pressure value N is not within the preset pressure value range, the wearable device may also trigger a prompt message to remind the user whether the internal pressure value of the current filling module is smaller or larger. Optionally, the prompt message may be displayed in a variety of forms such as display, vibration, and voice playback. For example, the wearable device may display the corresponding prompt content on the display screen for prompting.

[0133] Optionally, if the internal pressure value of the filling module cannot be adjusted to be within the preset pressure range, the user is reminded to put it on again. For example, during the above adjustment process, if it is found that the internal pressure value of the filling module cannot be adjusted to the preset pressure range, another prompt message may be displayed to remind the user to put on the wearable device again. The display method of the prompt message may be similar to the above, which will not be repeated here. For example, if the pressure value is too large and cannot be adjusted to the preset pressure range by pressure relief, it means that it is worn too tightly, and the user may be prompted to loosen it; if the pressure is too small and cannot be adjusted to the preset pressure range by pressurization, it means that it is worn too loose, and the user may be prompted to tighten it.

[0134] Step 605: When the internal pressure value of the filling module is within a preset pressure range, the physiological signal data of the user is measured by the data measurement module.

[0135] That is, after the wearable device adjusts the internal pressure value of the filling module to be within the preset pressure range, it measures the user's physiological signal data through the data measurement module. Optionally, if the physiological signal data to be measured is an electrocardiogram, the data measurement module will include a corresponding sensor for collecting the electrocardiogram, and when the internal pressure value of the filling module is within the preset pressure range corresponding to the electrocardiogram, the corresponding touch sensor is activated to capture the weak current generated by the electrical activity of the heart, and then the electrocardiogram data is measured. If the physiological signal data to be measured is blood oxygen saturation, the data measurement module may include a pulse oximeter, and when the internal pressure value of the filling module is within the preset pressure range corresponding to the blood oxygen saturation, the corresponding PPG signal is measured.

[0136] In one possible implementation, the wearable device can also determine a target preset pressure value within a preset pressure range based on the user's wearing comfort level, and measure the user's physiological signal data through the data measurement module when the internal pressure value of the filling module is within the preset pressure range, including: measuring the user's physiological signal data through the data measurement module when the internal pressure value of the filling module is within the target preset pressure value.

[0137] For example, in order to further improve the user's comfort during the process of collecting physiological signal data, the target preset pressure value can be determined in advance based on the user's wearing comfort level, not only to adjust the internal pressure value of the filling module to be within the preset pressure range, but also to accurately adjust the internal pressure value of the filling module to the target preset pressure value. Among them, the user's wearing comfort level can be pre-set in the wearable device by the user or the developer. For example, the wearing comfort level of different users is definitely different. In the above-mentioned selection of the corresponding wearing comfort level based on the user's physiological characteristic information and setting it in the wearable device, in this step, the target preset pressure value is determined based on the user's wearing comfort level.

[0138] Please refer to Table 2, which shows a mapping relationship between target preset pressure values ​​corresponding to different wearing comfort levels involved in an exemplary embodiment of the present application.

[0139] Table 2

[0140]

[0141]

[0142] Table 2 can be used to obtain the corresponding target preset pressure value based on the wearing comfort level of the current user, and then in the process of adjusting the internal pressure value of the filling module to within the preset pressure range, the internal pressure value of the filling module is adjusted to the target preset pressure value.

[0143] In a possible implementation, when the wearable device is in a periodic detection working mode, after measuring the physiological signal data of the user through the data measurement module, the wearable device can also adjust the internal pressure value of the filling module to a third preset pressure value. The third preset pressure value is less than the lower limit of the preset pressure range. The third preset pressure value can be flexibly set by the developer or the user.

[0144] In some embodiments, such as in scenarios such as sleep, it may be necessary to periodically detect certain physiological parameters, and periodic detection may easily affect the user's sleep. In order to reduce the impact on the user, the third preset pressure value can be set to a pressure value that can reach the preset pressure range through slight pressure increase, so that periodic detection has less impact on the user's sleep, and a balance is sought between detection accuracy and comfort to meet user needs.

[0145] Optionally, if the wearable device is within the preset pressure range for a long time, it may squeeze the user's limb to be tested, affecting blood flow, pulse, etc. In order to avoid the filling module being in a relatively tight internal pressure value for a long time, causing unnecessary squeezing of the user, when the wearable device is in a periodic detection working mode, after each measurement, the internal pressure value of the filling module can be appropriately relaxed so that the internal pressure value is adjusted to the third preset pressure value.

[0146] That is, in scenarios where continuous detection of physiological signals is required (such as motion data detection or sleep data monitoring, etc.), the wearable device of the present application can dynamically and adaptively adjust the tightness, such as starting micro-inflation every 10 minutes to obtain high-quality physiological signal data, and keeping the wearable device in a relatively loose and comfortable wearing state (adjusted to the preset pressure value) at other times to avoid affecting the user's wearing experience.

[0147] It should be noted that the above-mentioned collection of physiological signal data is based on the collection of one type of physiological signal data. In actual applications, wearable devices can also be used to collect multiple types of physiological signal data at the same time. In this case, the preset pressure range obtained above also needs to meet the collection of multiple types of physiological signal data. In this solution, the final preset pressure range can be determined by the preset pressure range of each type of physiological signal data, so that the preset pressure range can meet the needs of collecting multiple types of physiological signal data selected by the user.

[0148] For example, in the above Figure 7 The user selected two or more types of physiological signal data and triggered the measurement of these physiological signal data. Taking the heart rate measurement and blood oxygen saturation measurement as examples, the preset pressure range corresponding to the heart rate is P1 to P2, and the preset pressure range corresponding to the blood oxygen saturation is P3 to P4. If it is necessary to collect these two physiological signal data at the same time, then it is necessary to ensure that the final preset pressure range can meet the measurement requirements of these two physiological signal data. The preset pressure range can be the intersection of [P1, P2] and [P3, P4].

[0149] To summarize, when the wearable device is in a worn state, a measurement operation of physiological signal data is received; in response to the measurement operation, the internal pressure value of the filling module is obtained, and when the internal pressure value of the filling module is within a preset pressure range, the physiological signal data of the user is measured through the data measurement module; the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than a preset quality threshold selected from the target data set; the target data set is the user physiological signal data measured during the process of adjusting the internal pressure value of the filling module to change between a first preset pressure value and a second preset pressure value. The wearable device of the present application can respond to a measurement operation. When it is necessary to measure physiological signal data, the wearable device can obtain the current internal pressure value of its own filling module, and measure the physiological signal data when the internal pressure value of the filling module is within a preset pressure range. Since the preset pressure range is determined based on the pressure value corresponding to the physiological signal data selected from the target data set and having data quality higher than a preset quality threshold, measurement is performed when the internal pressure value of the filling module of the wearable device is within the preset pressure range. This ensures that the data quality of the currently collected physiological signal data is at least higher than the preset quality threshold, thereby improving the quality of the physiological signal data collected each time, thereby increasing the confidence in the measurement results and improving the accuracy of the collected physiological signal data.

[0150] In addition, by combining the physiological characteristics information of different users to set the corresponding relationship between the wearing comfort levels of different users and the target preset threshold, when collecting physiological signal data, the internal pressure value of the filling module is adjusted more accurately, thereby improving the accuracy and pertinence of obtaining physiological signal data.

[0151] Moreover, for the same preset pressure range, one or more physiological data can be collected, and the obtained preset pressure range is consistent with the collection of multiple physiological data. Therefore, it can also improve the accuracy of the wearable device in collecting multiple physiological data at the same time and improve the efficiency of user monitoring.

[0152] Below, the wearable device is a smart watch, and the filling module is set on the inner side of the strap in the form of an air bag. The smart watch can actively adjust the internal pressure value of the air bag to change the tightness of the user wearing the smart watch.

[0153] Please refer to Figure 8 , which shows a schematic diagram of the structure of a smart watch involved in an exemplary embodiment of the present application. Figure 8As shown, the smart watch 800 includes a watch host 801, a watch strap 802, and an air bag 803. The watch host 801 may include: a microcontroller unit (MCU), a touch screen, a battery, a micro air pump, a pressure sensor, a PPG detection module, etc., wherein the PPG detection module is equivalent to a data measurement module for measuring physiological signal data. The user can fix the smart watch to the wrist by wearing the watch strap. Figure 8 The airbag 803 is located between the watch strap and the wrist. When the airbag is inflated, the watch head can fit closely against the wrist; when the airbag is deflated, a certain gap can be maintained between the watch strap and the watch head and the user's wrist.

[0154] Please refer to Fig. 9 , which shows a flow chart of setting a personalized preset pressure range for a smart watch according to an exemplary embodiment of the present application. Fig. 9 As shown, the smart watch can perform the following steps:

[0155] Step 901: The user triggers the start of heart rate measurement.

[0156] Optional, in Fig. 9 In this case, the user triggers the start of heart rate measurement, which may be the first time the user performs heart rate measurement. In this case, the wearable device can perform Fig. 9 method to set a personalized pressure range for the user.

[0157] Step 902: The smart watch controls the air pump to inflate the airbag and continuously pressurize it so that the pressure changes from the first preset pressure value to the second preset pressure value.

[0158] Optionally, based on the principle of heart rate measurement, during the heart rate measurement process, the air pump in the filling module will continuously inflate the airbag, and the airbag will continue to expand, so that the internal pressure of the airbag changes from a first preset pressure value to a second preset pressure value.

[0159] Step 903 , during the process of changing from the first preset pressure value to the second preset pressure value in step 902 , starting PPG data collection.

[0160] During the inflation process in step 902, the smart watch can control the data acquisition module to start the collection of PPG signals at the same time, continuously obtain the PPG signals during the pressurization process, and record them. During the heart rate measurement process, the pressure will continue to increase to the second preset pressure value, and the watch strap will "cut off" the blood flow in the user's wrist, that is, when the pressure sensor cannot detect the pulse wave fluctuation, it will stop. At this pressure value, the watch will tighten the wrist very tightly.

[0161] Step 904: obtain each group of PPG signals corresponding to each sampled pressure value through the above acquisition.

[0162] In the above process, each group of continuously increasing pressure values ​​can be obtained through the pressure sensor. At each sampled pressure value, the smart watch can collect PPG signals once or multiple times at the pressure value, and obtain each group of PPG signals, that is, the corresponding PPG signals at different pressure values ​​can be obtained.

[0163] Step 905 , the smart watch performs quality analysis on each group of PPGs, and selects the pressure range P1 to P2 corresponding to the signal quality higher than the preset signal quality.

[0164] Optionally, the smart watch system can analyze the signal integrity and signal quality of each group of PPG signals obtained, and compare the PPG signals under different pressures before and after, and filter out the groups of PPG signals with higher than the preset signal quality, so as to obtain the pressure range P1~P2 for the user with better signal quality (higher than the preset signal quality).

[0165] Step 906: The smart watch stores the personalized preset pressure range P1-P2 for the user.

[0166] Optionally, a personalized preset pressure value range is stored for the user, P1 is the lower limit value of the preset pressure value range, and P2 is the upper limit value of the preset pressure value range.

[0167] Through the above Fig. 9 After setting the user's personalized pressure range, if the user needs to wear the smart watch and measure his or her heart rate in the future, the smart watch can execute the following method. Fig.10 , which shows a flow chart of a method for measuring physiological signal data by a smart watch according to an exemplary embodiment of the present application. Fig.10 As shown, the smart watch can perform the following steps:

[0168] Step 1001: The user clicks on the interface of the smart watch to trigger the start of heart rate measurement.

[0169] Optionally, the smart watch can also provide the function of measuring other physiological signal data, such as electrocardiogram, blood oxygen saturation, etc., which will not be described here. In addition to user-triggered measurement, the smart watch can also start the measurement of a certain physiological signal data at a fixed time to monitor the user's sleep and exercise.

[0170] Step 1002: The smartwatch reads the internal pressure value P of the current filling module and compares it with the personalized preset pressure value range stored above.

[0171] Step 1003, if the internal pressure value P of the filling module is < P1, start the air pump to inflate the airbag.

[0172] Step 1004, make the internal pressure value of the inflated filling module within the range of P1 to P2, and measure the heart rate as required.

[0173] Step 1005, if the internal pressure value P of the filling module satisfies P1 ≤ P ≤ P2, no adjustment is required, and the heart rate is directly measured as required.

[0174] Step 1006, if the internal pressure value P of the filling module is > P2, start the air pump to deflate the airbag.

[0175] Step 1007, make the internal pressure value of the deflated filling module within the range of P1 to P2, and measure the heart rate as required.

[0176] Optionally, in the above steps 1003 and 1006, when it is found that the internal air pressure value in the airbag needs to be adjusted, corresponding prompt information can be displayed to prompt the user.

[0177] In summary, based on this technical solution, the user can mostly keep the wearable watch in a comfortable loose-wearing state. When the device starts to detect PPG signals or ECG signals, the internal air pressure value of the airbag can be adjusted to the preset pressure range, and this preset pressure range is still related to the user's wrist personal characteristics. Therefore, after adjusting the internal pressure value and then performing real-time detection, the airbag can be inflated to the most suitable state for PPG signal and ECG measurement, thus taking into account the comfort of daily wearing and the signal quality of measurement, and improving the accuracy of data measurement.

[0178] The following is an apparatus embodiment of the present application, which can be used to execute the method embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, please refer to the method embodiment of the present application.

[0179] Please refer to Fig.11 , which shows a structural block diagram of a data measurement device provided by an exemplary embodiment of the present application. The data measurement device 1100 can be used in a wearable device, and the wearable device at least includes a filling module and a data measurement module. To execute all or part of the steps performed by the wearable device in the methods provided by the above various illustrated embodiments. The data measurement device 1100 includes:

[0180] A first receiving module 1101, configured to receive a measurement operation on physiological signal data when the wearable device is in a worn state;

[0181] A first obtaining module 1102, configured to obtain the internal pressure value of the filling module in response to the measurement operation;

[0182] A first measuring module 1103, configured to measure the physiological signal data of the user through the data measuring module when the internal pressure value of the filling module is within a preset pressure range;

[0183] Among them, the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than the preset quality threshold selected in the target data set; the target data set is the user physiological signal data measured by adjusting the internal pressure value of the filling module during the process of changing between the first preset pressure value and the second preset pressure value.

[0184] To summarize, when the wearable device is in a worn state, a measurement operation of physiological signal data is received; in response to the measurement operation, the internal pressure value of the filling module is obtained, and when the internal pressure value of the filling module is within a preset pressure range, the physiological signal data of the user is measured through the data measurement module; the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than a preset quality threshold selected from the target data set; the target data set is the user physiological signal data measured during the process of adjusting the internal pressure value of the filling module to change between a first preset pressure value and a second preset pressure value. The wearable device of the present application can respond to a measurement operation. When it is necessary to measure physiological signal data, the wearable device can obtain the current internal pressure value of its own filling module, and measure the physiological signal data when the internal pressure value of the filling module is within a preset pressure range. Since the preset pressure range is determined based on the pressure value corresponding to the physiological signal data selected from the target data set and having data quality higher than a preset quality threshold, measurement is performed when the internal pressure value of the filling module of the wearable device is within the preset pressure range. This ensures that the data quality of the currently collected physiological signal data is at least higher than the preset quality threshold, thereby improving the quality of the physiological signal data collected each time, thereby increasing the confidence in the measurement results and improving the accuracy of the collected physiological signal data.

[0185] Optionally, the device further comprises:

[0186] A first adjustment module, configured to adjust an internal pressure value of the filling module when the wearable device is in a wearing state;

[0187] a second measuring module, configured to measure the physiological signal data of the user at each sampled pressure value through the data measuring module to obtain each set of physiological signal data; wherein each sampled pressure value is selected between the first preset pressure value and the second preset pressure value;

[0188] A first acquisition module is used to perform quality analysis on each set of physiological signal data to obtain the data quality corresponding to each set of physiological signal data;

[0189] The second acquisition module is used to acquire the preset pressure range according to the data quality corresponding to each group of physiological signal data and the preset quality threshold.

[0190] Optionally, the second acquisition module includes: a first acquisition unit, a second acquisition unit, a third acquisition unit and a fourth acquisition unit;

[0191] The first acquisition unit is used to acquire each group of physiological signal data that is higher than the preset quality threshold from each group of physiological signal data;

[0192] The second acquisition unit is used to acquire the upper limit value of the preset pressure range according to the sampled pressure value corresponding to the first physiological signal data; the first physiological signal data is the physiological signal data with the highest data quality among the groups of physiological signal data higher than the preset quality threshold;

[0193] The third acquisition unit is used to acquire the lower limit value of the preset pressure range according to the sampled pressure value corresponding to the second physiological signal data; the second physiological signal data is the physiological signal data with the lowest data quality among the groups of physiological signal data higher than the preset quality threshold;

[0194] The fourth acquisition unit is used to acquire the preset pressure range according to the upper limit value of the preset pressure range and the lower limit value of the preset pressure range.

[0195] Optionally, the preset pressure range is used to meet the collection of various types of physiological signal data.

[0196] Optionally, the filling module is also configured for blood pressure measurement;

[0197] The physiological signal data is a non-blood pressure signal or a blood pressure signal; the physiological signal data is collected by one or more of a photoplethysmogram (PPG) sensor, an electrocardiogram (ECG) sensor, a temperature sensor, and an inertial measurement unit (IMU) of a data measurement module.

[0198] Optionally, the device further comprises:

[0199] The first acquisition module is used to collect the physiological signal data of the user to obtain the target data set during the process of pressurizing and / or depressurizing the filling module during blood pressure detection. And / or,

[0200] The first determination module is used to determine the preset pressure range during the process of pressurizing and / or relieving the pressure of the filling module during blood pressure detection.

[0201] Optionally, the device further comprises:

[0202] The second adjustment module is used to adjust the internal pressure value of the filling module to within the preset pressure range when the pressure value is not within the preset pressure range.

[0203] Optionally, the second adjustment module is further configured to, if the internal pressure value of the filling module is greater than the upper limit value of the preset pressure range, reduce the internal pressure value of the filling module so that the internal pressure value of the filling module is within the preset pressure range; and / or,

[0204] If the internal pressure value of the filling module is less than the lower limit value of the preset pressure range, the internal pressure value of the filling module is increased so that the internal pressure value of the filling module is within the preset pressure range.

[0205] Optionally, the device further comprises:

[0206] The first reminder module is used to remind the user to put it on again if the internal pressure value of the filling module cannot be adjusted so that the internal pressure value of the filling module is within a preset pressure range.

[0207] Optionally, the device further comprises:

[0208] The third adjustment module is used to adjust the internal pressure value of the filling module to a third preset pressure value when the wearable device is in a periodic detection working mode, after the physiological signal data of the user is measured by the data measurement module, and the third preset pressure value is less than the lower limit value of the preset pressure range.

[0209] Optionally, the device further comprises:

[0210] A second determination module is used to determine a target preset pressure value according to the wearing comfort level of the user within the preset pressure range;

[0211] The first measurement module 1103 is further configured to measure the physiological signal data of the user through the data measurement module when the internal pressure value of the filling module is at a target preset pressure value.

[0212] Please refer to Fig.12 , which is a structural diagram of another example of a data measurement device provided in an embodiment of the present application. Among them, the data measurement device 1200 can be a wearable device, and the wearable device can implement the functions of the method provided in an embodiment of the present application. Among them, the data measurement device 1200 can be a chip system. In the embodiment of the present application, the chip system can be composed of a chip, or it can include a chip and other discrete devices.

[0213] In hardware implementation, the communication module may be a transceiver, which is integrated into the data measurement device 1200 to form the communication interface 1203 .

[0214] The data measurement device 1200 includes at least one processor 1201, which is used to implement or support the data measurement device 1200 to implement the function of the wearable device in the method provided in the embodiment of the present application. Exemplarily, the processor 1201 can receive a measurement operation on physiological signal data when the wearable device is in a wearing state; in response to the measurement operation, obtain the internal pressure value of the filling module, and when the internal pressure value of the filling module is within a preset pressure range, measure the physiological signal data of the user through the data measurement module, etc. Please refer to the detailed description in the method example for details, which will not be repeated here.

[0215] The data measurement device 1200 may also include at least one memory 1202 for storing program instructions and / or data. The memory 1202 is coupled to the processor 1201. The coupling in the embodiment of the present application is an indirect coupling or communication connection between devices, units or modules, which may be electrical, mechanical or other forms, and is used for information exchange between devices, units or modules. The processor 1201 may operate in coordination with the memory 1202. The processor 1201 may execute program instructions stored in the memory 1202. At least one of the at least one memory may be included in the processor.

[0216] The data measurement device 1200 may also include a communication interface 1203, which is used to communicate with other devices through a transmission medium, so that the device in the data measurement device 1200 can communicate with other devices. Exemplarily, the other device may be a network side device. The processor 1201 may use the communication interface 1203 to send and receive data. The communication interface 1203 may specifically be a transceiver.

[0217] The specific connection medium between the communication interface 1203, the processor 1201 and the memory 1202 is not limited in the embodiment of the present application. Fig.12 In the embodiment, the memory 1202, the processor 1201 and the communication interface 1203 are connected via a bus 1204. Fig.12 The connections between other components are shown in bold lines, which are only for illustration and are not intended to be limiting. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.12 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0218] In the embodiment of the present application, the processor 1201 can be a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and can implement or execute the methods, steps and logic block diagrams disclosed in the embodiment of the present application. The general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware processor to be executed, or the hardware and software modules in the processor can be combined and executed.

[0219] In an embodiment of the present application, the memory 1202 may be a non-volatile memory, such as a hard disk drive (HDD) or a solid-state drive (SSD), etc., or a volatile memory (volatile memory), such as a random access memory (RAM). The memory is any other medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory in the embodiment of the present application may also be a circuit or any other device that can implement a storage function, for storing program instructions and / or data.

[0220] Optionally, an embodiment of the present application further provides a wearable device, the wearable device comprising a processor and a memory, the memory storing a computer program, the computer program being executed by the processor to implement all or part of the steps performed by the wearable device in the data measurement method of each of the above embodiments.

[0221] Optionally, an embodiment of the present application further provides a computer-readable medium storing a computer program, which is executed by a processor to implement all or part of the steps performed by a wearable device in the data measurement method of each of the above embodiments.

[0222] Optionally, an embodiment of the present application further provides a computer program product, which, when executed on a computer, enables the computer to execute all or part of the steps of the data measurement method of each of the above embodiments, which are executed by a wearable device.

[0223] Optionally, an embodiment of the present application also provides an application publishing platform, which is used to publish a computer program product, wherein when the computer program product runs on a computer, the computer executes the data measurement method of each of the above embodiments, and all or part of the steps performed by the wearable device.

[0224] It should be noted that: when the device provided in the above embodiment performs the control of the wearable device, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0225] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0226] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0227] The above description is only an optional embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A data measurement method, characterized in that: Applied to a wearable device, the wearable device at least includes a filling module and a data measurement module, and the method includes: When the wearable device is in a worn state, receiving a measurement operation on physiological signal data; In response to the measuring operation, obtaining an internal pressure value of the filling module; When the internal pressure value of the filling module is within a preset pressure range, measuring the physiological signal data of the user through the data measurement module; The preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than the preset quality threshold selected from the target data set; the target data set is the user physiological signal data measured by adjusting the internal pressure value of the filling module to change between the first preset pressure value and the second preset pressure value.

2. The method according to claim 1, characterized in that: The method further comprises: When the wearable device is in a wearing state, adjusting the internal pressure value of the filling module; At each sampled pressure value, the data measurement module measures the physiological signal data of the user to obtain each set of physiological signal data; each sampled pressure value is selected between the first preset pressure value and the second preset pressure value; Performing quality analysis on each set of physiological signal data to obtain the data quality corresponding to each set of physiological signal data; The preset pressure range is obtained according to the data quality corresponding to each group of physiological signal data and the preset quality threshold.

3. The method according to claim 2, characterized in that The step of obtaining the preset pressure range according to the data quality corresponding to each set of physiological signal data and the preset quality threshold comprises: Acquire each set of physiological signal data that is higher than the preset quality threshold from each set of physiological signal data; According to the sampled pressure value corresponding to the first physiological signal data, an upper limit value of the preset pressure range is obtained; the first physiological signal data is the physiological signal data with the highest data quality among the groups of physiological signal data higher than the preset quality threshold; According to the sampled pressure value corresponding to the second physiological signal data, a lower limit value of the preset pressure range is obtained; the second physiological signal data is the physiological signal data with the lowest data quality among the groups of physiological signal data higher than the preset quality threshold; The preset pressure range is acquired according to an upper limit value of the preset pressure range and a lower limit value of the preset pressure range.

4. The method according to any one of claims 1 to 3, characterized in that: The preset pressure range is used to meet the collection of one or more types of physiological signal data.

5. The method according to claim 1, characterized in that The filling module is also configured for blood pressure measurement; The physiological signal data is a non-blood pressure signal or a blood pressure signal; the physiological signal data is collected by one or more of a photoplethysmogram (PPG) sensor, an electrocardiogram (ECG) sensor, a temperature sensor, and an inertial measurement unit (IMU) of a data measurement module.

6. The method according to claim 1 or 5, characterized in that: The method further comprises: In the process of pressurizing and / or depressurizing the filling module during blood pressure detection, collecting the physiological signal data of the user to obtain the target data set; and / or, The preset pressure range is determined during the process of pressurizing and / or depressurizing the filling module during blood pressure testing.

7. The method according to claim 1, characterized in that The method further comprises: When the pressure value is not within the preset pressure range, the internal pressure value of the filling module is adjusted to be within the preset pressure range.

8. The method according to claim 7, characterized in that The step of adjusting the internal pressure value of the filling module to a preset pressure range includes: If the internal pressure value of the filling module is greater than the upper limit value of the preset pressure range, the internal pressure value of the filling module is reduced so that the internal pressure value of the filling module is within the preset pressure range; and / or, If the internal pressure value of the filling module is less than the lower limit value of the preset pressure range, the internal pressure value of the filling module is increased so that the internal pressure value of the filling module is within the preset pressure range.

9. The method according to claim 7, characterized in that: The method further comprises: If the internal pressure value of the filling module cannot be adjusted so that the internal pressure value of the filling module is within the preset pressure range, the user is reminded to put it on again.

10. The method according to claim 1, characterized in that When the wearable device is in a periodic detection working mode, after measuring the physiological signal data of the user by the data measurement module, the method further includes: The internal pressure value of the filling module is adjusted to a third preset pressure value, wherein the third preset pressure value is less than a lower limit value of the preset pressure range.

11. The method according to claim 1, characterized in that: The method further comprises: determining a target preset pressure value within the preset pressure range according to the wearing comfort level of the user; When the internal pressure value of the filling module is within a preset pressure range, measuring the physiological signal data of the user by the data measurement module includes: When the internal pressure value of the filling module is at the target preset pressure value, the physiological signal data of the user is measured by the data measurement module.

12. A data measuring device, characterized in that: Applied to a wearable device, the wearable device at least includes a filling module and a data measurement module; the device includes: A first receiving module, configured to receive a measurement operation on physiological signal data when the wearable device is in a worn state; A first acquisition module, configured to acquire an internal pressure value of the filling module in response to the measurement operation; a first measuring module, configured to measure the physiological signal data of the user through the data measuring module when the internal pressure value of the filling module is within a preset pressure range; Among them, the preset pressure range is determined based on the pressure value corresponding to the physiological signal data whose data quality is higher than the preset quality threshold selected in the target data set; the target data set is the user physiological signal data measured by adjusting the internal pressure value of the filling module during the process of changing between the first preset pressure value and the second preset pressure value.

13. A wearable device, characterized in that: The wearable device comprises a processor and a memory, wherein a computer program is stored in the memory, and the computer program is executed by the processor to implement the data measurement method according to any one of claims 1 to 11.

14. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is executed by a processor to implement the data measurement method according to any one of claims 1 to 11.

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