Triggering method and device for blood pressure detection and wearable device

Abstract

The application provides a blood pressure detection triggering method and device and a wearable device, and relates to the technical field of terminals. The method can be based on the actual distribution of the ulnar styloid process, radial styloid process and carpal bone at the user's wrist in a normal position when the wearable device is worn, and the actual distribution of the ulnar styloid process, radial styloid process and carpal bone at the user's wrist in an abnormal position, determine whether the wearable device is worn in the normal position according to the signal value detected by the detection device (such as a sensor), and start the blood pressure detection / calibration function of the wearable device when the wearable device is worn in the normal position. Therefore, the blood pressure detection / calibration is started when the wearable device is worn in the normal position, so that the blood pressure detection is triggered accurately, and the accuracy of blood pressure measurement is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of terminal, in particular to a blood pressure detection triggering method and device and wearable device. BACKGROUND

[0002] At present, the number of people suffering from hypertension is increasing year by year worldwide, and accurate monitoring of blood pressure is of great significance. Traditional blood pressure measurement mainly uses auscultation method, oscillograph method and other methods, which all need manual or automatic inflation and deflation of the cuff to assist measurement, and the discomfort is obvious, and only one blood pressure value can be measured in a period of time, and continuous measurement is not possible.

[0003] In recent years, non-invasive and cuffless blood pressure measurement methods have gradually become the focus of research, and intelligent wearable devices (such as watches, bracelets, etc.) have great potential in the field of continuous blood pressure measurement due to their portability and practicality. At present, intelligent wearable devices mainly rely on photoplethysmographic (PPG) signals or pressure waves to obtain wrist pulse waves and realize blood pressure measurement.

[0004] However, this requires the intelligent wearable device to be worn in the specified normal position, and abnormal watch wearing position will greatly affect the quality of photoplethysmographic (PPG) and pressure wave signals, resulting in a decrease in blood pressure measurement accuracy. Therefore, how to accurately trigger blood pressure detection to improve the accuracy of blood pressure measurement is a technical problem that needs to be solved at present. SUMMARY

[0005] The embodiments of the present application provide a blood pressure detection triggering method, device and wearable device, which can determine the timing of triggering blood pressure detection, thereby accurately triggering blood pressure detection, and further improving the accuracy of blood pressure measurement.

[0006] In a first aspect, the embodiments of the present application provide a blood pressure detection triggering method applied to a wearable device, the wearable device having a wristband, and the bottom of the main body of the wearable device being provided with at least two detection devices, the at least two detection devices including a first detection device and a second detection device, wherein the first detection device is located on a first side of the bottom of the main body, the second detection device is located on a second side of the bottom of the main body, and the first side and the second side are symmetrically arranged along the length direction of the wristband.

[0007] The method comprises:

[0008] determining a first detection value detected by the first detection device, and determining a second detection value detected by the second detection device, wherein the first detection device and the second detection device detect synchronously;

[0009] determining a first deviation value between the first detection value and the second detection value;

[0010] determining that the first deviation value is less than a first threshold value, starting a first function on the wearable device, the first function comprising blood pressure detection or calibration.

[0011] In a possible implementation, before starting the first function on the wearable device, the method further includes:

[0012] determining that both the first detection value and the second detection value are less than a second threshold value.

[0013] In a possible implementation, the method further includes:

[0014] determining that the first deviation value is greater than or equal to the first threshold value, and issuing a reminder information, the reminder information being used to remind a user to adjust a wearing posture or position;

[0015] Alternatively, determining that at least one of the first detection value and the second detection value is greater than or equal to the second threshold value, and issuing the reminder information.

[0016] In a possible implementation, issuing the reminder information specifically includes:

[0017] determining that the wearable device is not in a do-not-disturb state, and performing a non-silent reminder, the non-silent reminder comprising at least one of a sound reminder, a vibration reminder, and sending a reminder information to another device;

[0018] Alternatively, determining that the wearable device is in the do-not-disturb state, and performing a silent reminder.

[0019] In a possible implementation, after issuing the reminder information, the method further includes:

[0020] redetermining whether to start the first function.

[0021] In a possible implementation, both the first detection device and the second detection device are capacitive sensors, and both the first detection value and the second detection value are capacitance values.

[0022] In a possible implementation, both the first detection device and the second detection device are electrodes, and both the first detection value and the second detection value are impedance values.

[0023] In a second aspect, an embodiment of the present application provides a blood pressure detection triggering method applied to a wearable device, the wearable device having a wristband, a side of the wristband in contact with human skin being provided with at least two air bags, the at least two air bags comprising a first air bag and a second air bag, the first air bag and the second air bag being arranged in sequence in a length direction of the wristband, wherein the first air bag is located between the second air bag and a main body of the wearable device, and the first air bag is smaller than the second air bag.

[0024] The method comprises:

[0025] determining a first pressure value of the first air bag, and determining a second pressure value of the second air bag, wherein the first air bag and the second air bag are synchronously pressurized;

[0026] determining a second deviation value between the first pressure value and the second pressure value;

[0027] determining that the second deviation value is less than a third threshold value, and starting a first function on the wearable device, the first function including blood pressure detection or calibration.

[0028] In a possible implementation, the method further includes:

[0029] determining that the second deviation value is greater than or equal to the third threshold value, and issuing a reminder information, the reminder information being used to remind a user to adjust a wearing posture or position.

[0030] In a possible implementation, the issuing of the reminder information specifically includes:

[0031] determining that the wearable device is not in a do-not-disturb state, and performing a non-silent reminder, the non-silent reminder including at least one of a sound reminder, a vibration reminder, and sending a reminder information to other devices;

[0032] Alternatively, determining that the wearable device is in the do-not-disturb state, and performing a silent reminder.

[0033] In a possible implementation, after the issuing of the reminder information, the method further includes:

[0034] redetermining whether to start the first function.

[0035] In a third aspect, an embodiment of the present application provides a blood pressure detection triggering device, including:

[0036] at least one memory for storing a program;

[0037] at least one processor for executing the program stored in the memory, and when the program stored in the memory is executed, the processor is configured to execute the method provided in the first aspect or the second aspect.

[0038] In a fourth aspect, an embodiment of the present application provides a wearable device, the wearable device having a wristband and a processor, and the bottom of the main body of the wearable device is provided with at least two detection devices, the at least two detection devices including a first detection device and a second detection device, wherein the first detection device is located on a first side of the bottom of the main body, the second detection device is located on a second side of the bottom of the main body, and the first side and the second side are symmetrically arranged along the length direction of the wristband.

[0039] a processor configured to execute the method provided in the first aspect.

[0040] In a fifth aspect, an embodiment of the present application provides a wearable device comprising a wristband and a processor, wherein at least two airbags are provided on a side of the wristband that contacts human skin, the at least two airbags comprising a first airbag and a second airbag, the first airbag and the second airbag being arranged sequentially along the length direction of the wristband, wherein the first airbag is located between the second airbag and a body of the wearable device, and the first airbag is smaller than the second airbag;

[0041] A processor, configured to execute the method provided in the first aspect.

[0042] In a sixth aspect, an embodiment of the present application provides a computer storage medium, in which instructions are stored. When the instructions are executed on a computer, the computer executes the method provided in the first aspect or the second aspect.

[0043] In a seventh aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when executed on a computer, causes the computer to execute the method provided in the first aspect or the second aspect.

[0044] In an eighth aspect, an embodiment of the present application provides a chip, comprising at least one processor and an interface;

[0045] At least one processor obtains program instructions or data through the interface;

[0046] At least one processor is configured to execute program line instructions to implement the method provided in the first aspect or the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of the present application;

[0048] Figure 2 Schematic diagram of the hardware structure of a wearable device provided in an embodiment of the present application;

[0049] Figure 3a 1 is a schematic diagram of wearing a wearable device provided in an embodiment of the present application;

[0050] Figure 3b Schematic diagram of electrode arrangement in a wearable device provided in an embodiment of the present application;

[0051] Figure 4a 1 is a schematic diagram of wearing a wearable device provided in an embodiment of the present application;

[0052] Figure 4b Schematic diagram of electrode arrangement in a wearable device provided in an embodiment of the present application;

[0053] Figure 4c 1 is a schematic diagram of wearing a wearable device provided in an embodiment of the present application;

[0054] Figure 5a is a wearing schematic diagram of a wearable device provided by an embodiment of the present application;

[0055] Figure 5b is a wearing schematic diagram of a wearable device provided by an embodiment of the present application;

[0056] Figure 6 is a flow schematic diagram of a blood pressure detection triggering method provided by an embodiment of the present application;

[0057] Figure 7 is a flow schematic diagram of another blood pressure detection triggering method provided by an embodiment of the present application;

[0058] Figure 8 is a flow schematic diagram of a blood pressure detection triggering method based on electrode detection provided by an embodiment of the present application;

[0059] Figure 9 is a flow schematic diagram of a blood pressure detection triggering method based on capacitance sensor detection provided by an embodiment of the present application;

[0060] Figure 10 is a flow schematic diagram of a blood pressure detection triggering method based on pressure difference between large and small air bags provided by an embodiment of the present application. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below with reference to the drawings.

[0062] Figure 1 is an application scenario schematic diagram provided by an embodiment of the present application. As shown in Figure 1As shown, a wearable device 11 (such as a smart watch, a smart bracelet, etc.) is worn on the wrist A of a user, and the wearable device 11 can have a blood pressure detection function. The wearable device 11 can periodically or in real time detect the blood pressure of the user. When the wearing position of the wearable device 11 is abnormal, the blood pressure value detected by the wearable device 11 will deviate from the actual blood pressure value, that is, the accuracy of the detected blood pressure value is poor. In order to improve the accuracy of the blood pressure value detected by the wearable device 11, in the present scheme, when the wearing position of the wearable device 11 is normal, the wearable device 11 is controlled to perform blood pressure detection. When determining whether the wearing position of the wearable device 11 is normal, in the present scheme, based on the actual distribution of the ulnar styloid process, radial styloid process and carpal bone at the user's wrist at the normal position when the wearable device 11 is worn, and the actual distribution of the ulnar styloid process, radial styloid process and carpal bone at the user's wrist at the abnormal position, according to the signal value detected by the detection device (such as a sensor, etc.), it is determined whether the wearable device 11 is worn at the normal position; and when the wearable device 11 is worn at the normal position, the blood pressure detection / calibration function of the wearable device 11 is started. Thus, the blood pressure detection / calibration is started when the wearable device 11 is worn at the normal position, so as to accurately trigger the blood pressure detection, and thus improve the accuracy of blood pressure measurement.

[0063] In addition, in the present scheme, when the wearing position of the wearable device 11 is abnormal, different processing methods can be used according to the user's settings or the user's current scene or state. For example, when the wearable device 11 is in a do-not-disturb state, the user can be silently reminded that the wearable device 11 is abnormally worn at this time, and at this time, the blood pressure measurement / calibration can be abandoned this time, and the wearing position can be re-detected next time the blood pressure measurement / detection is performed. When the wearable device 11 is in a non-do-not-disturb state, the user can be reminded by a non-silent manner such as sound or vibration that the wearable device 11 is abnormally worn at this time, so that the user can wear the wearable device 11 according to the specified method, and then the wearable device 11 can re-detect whether the user is abnormally worn, and start blood pressure measurement / calibration when the wearable device 11 is normally worn.

[0064] The following introduces a hardware structure schematic diagram of a wearable device provided in the present scheme. The wearable device can be the wearable device 11 shown in the Figure 1 .

[0065] Figure 2 is a hardware structure schematic diagram of a wearable device 200 provided by an embodiment of the present application. As shown in the Figure 2 , the wearable device 200 can include a processor 201, a memory 202, a blood pressure detection component 203, a wristband 204 and a sensor 205.

[0066] The processor 201 can support the wearable device 200 to implement the method provided in the present solution. The processor 201 can be a general-purpose processor or a special-purpose processor. For example, the processor 201 can include a central processing unit (CPU) and / or a baseband processor. The baseband processor can be used to process communication data, and the CPU can be used to implement corresponding control and processing functions, execute software programs, and process data of the software programs. For example, the processor 201 can determine whether the wearable device 200 is normally worn based on the data detected by the sensor 203, and start blood pressure detection / calibration and other functions on the wearable device 200.

[0067] The memory 202 has a program (which can also be referred to as an instruction or a code) stored thereon. The program can be run by the processor 201, so that the processor 201 performs the method described in the present solution. Alternatively, the memory 202 can also store data. Alternatively, the processor 201 can also read the data stored in the memory 202. The data can be stored in the same storage address as the program, or the data can be stored in a different storage address from the program. In the present solution, the processor 201 and the memory 202 can be separately arranged, or can be integrated together, for example, integrated on a single board or a system on chip (SOC).

[0068] The blood pressure detection component 203 is mainly used to detect the blood pressure of the user, that is, to perform blood pressure detection. In addition, the blood pressure detection component 203 can also perform blood pressure calibration and the like.

[0069] The wristband 204 is mainly used to wear the wearable device 200 on the wrist of the user. For example, when the wearable device 200 is a smart watch, the wristband 204 can be a watchband.

[0070] The sensor 205 can include a capacitive sensor, an electrode, and the like. The capacitive sensor can detect a capacitance value, and the electrode can detect an impedance value. For example, the electrodes in the wearable device 200 can form an electrocardiogram (ECG) backplane electrode array. It can be understood that multiple sensors 205 can perform detection synchronously.

[0071] In the present solution, the sensor 205 is at least two. In one example, multiple sensors 205 can be arranged at the bottom of the main body of the wearable device. The multiple sensors 205 can be symmetrically arranged along the length direction of the wristband 204, so as to detect whether the distribution of the ulnar styloid process, the radial styloid process, and the carpal bone at the wrist of the user is in a state that can perform blood pressure detection. For example, taking the sensor 205 as an electrode and the wearable device being worn on the wrist as an example, as shown in FIG. 2, the wearable device 200 can include a plurality of sensors 205 arranged at the bottom of the main body of the wearable device 200. The plurality of sensors 205 can be symmetrically arranged along the length direction of the wristband 204, so as to detect whether the distribution of the ulnar styloid process, the radial styloid process, and the carpal bone at the wrist of the user is in a state that can perform blood pressure detection. Figure 3aAs shown, the electrode 31 is located on the upper side of the main body 30 of the wearable device, and the electrode 32 is located on the lower side of the main body 30 of the wearable device, wherein the upper side refers to the side facing the finger, that is, the direction indicated by the arrow in the figure; the left and right directions in the figure are the length directions of the wristband 204. It can be understood that the electrodes (31, 32) can be arc-shaped, circular, or other shapes, which are not limited here. When the electrodes (31, 32) are arc-shaped, such as Figure 3b As shown, the electrodes (31, 32) can be arranged symmetrically along the length of the wristband, that is, in the direction indicated by the arrow in the figure. In this solution, when the wearable device is in a normal wearing position, the user's wrist bones are flat, and the thickness of the skin and fat is uniform. At this time, the electrical impedance values ​​measured by the electrodes on the upper and lower sides of the wearable device are small and close to each other; when the wearable device is in an abnormal wearing position, the user's wrist has protruding ulnar and radial styloid processes, and the thickness of the skin and fat is thin. At this time, the electrical impedance values ​​measured by the electrodes on the upper and lower sides of the wearable device are large, and the difference in the electrical impedance values ​​measured by the electrodes on the upper and lower sides is large. Therefore, the impedance difference of the electrical impedance values ​​of the electrodes on the upper and lower sides of the wearable device can be used to determine whether it is worn normally and whether to start the wearable device for blood pressure detection / calibration. Since the skin and fat thickness of different users are different, in order to improve the accuracy of the calculation, the electrical impedance value detected by each electrode can also be used as a reference factor. For example, when the electrical impedance value detected by each electrode is less than a preset threshold, and the impedance difference between the electrical impedance values ​​measured by the upper and lower electrodes is also less than the preset threshold, it can be determined that the wearing position of the wearable device is in a normal state, and it can be determined that the wearable device can be started for blood pressure detection / calibration at this time.

[0072] For example, taking the sensor 205 as a capacitive sensor and the wearable device worn on the wrist as an example, Figure 4a As shown, the capacitive sensor 41 is located on the upper side of the wearable device body 30, and the capacitive sensor 42 is located on the lower side of the wearable device body 30, wherein the upper side refers to the side facing the finger, that is, the direction indicated by the arrow in the figure; the direction perpendicular to the direction indicated by the arrow in the figure is the length direction of the wristband 204. Figure 4b As shown, the capacitive sensors (41, 42) can be arranged symmetrically along the length direction of the wristband, that is, the direction indicated by the arrow in the figure. Figure 4a As shown in , when the wearable device is in the normal wearing position, the ulna and radius of the user's wrist are flat. At this time, the capacitive sensors on the upper and lower sides of the wearable device can fit the skin well, and the capacitance values ​​measured by the capacitive sensors on the upper and lower sides are both large and similar. Figure 4cAs shown, when the wearable device is in an abnormal wearing position, the user's ulna styloid process and radius styloid process are obviously protruding, the capacitive sensor on the lower side of the wearable device can better adhere to the skin, and the capacitive sensor on the upper side cannot completely adhere to the skin. At this time, the capacitance value measured by the capacitive sensor on the upper side is obviously smaller than that of the capacitive sensor on the lower side. Therefore, whether the wearable device is normally worn and whether the wearable device is started for blood pressure detection / calibration can be determined by the capacitance difference of the capacitance values measured by the capacitive sensors on the upper and lower sides of the wearable device. For example, when the capacitance difference of the capacitance values measured by the capacitive sensors on the upper and lower sides of the wearable device is less than a preset threshold, it can be determined that the wearable device is in a normal wearing position, and it can be determined that the wearable device can be started for blood pressure detection / calibration at this time.

[0073] In one example, the sensor 205 can also include a plurality of airbags. The plurality of airbags can be arranged on the side of the wristband 204 in contact with the human skin, and can be arranged in sequence along the length direction of the wristband 204. In this scheme, the sizes of the plurality of airbags can be different. When the user wears the wearable device, by simultaneously pressurizing airbags of different sizes, the pressure difference caused by the distribution of the ulna styloid process, radius styloid process and carpal bones of the user's wrist in different wearing positions can be determined to determine whether the wearing position is accurate, and further determine whether to start blood pressure detection / calibration. In one example, the airbags of different sizes in this scheme can be the air pressure detection airbags required for blood pressure detection. For example, as shown in Figure 5a As shown, the smaller airbag 51 of the two airbags is located between the main body 30 of the wearable device and the larger airbag 52 of the two airbags. Continue to refer to Figure 5a , which is a distribution diagram of the airbags when the wearable device is in a normal wearing position. As can be seen from the figure, the airbag 51 (i.e. small airbag) is attached to the inside of the wristband, and is located at the position of the ulna 53 of the human wrist when worn. The airbag 52 (i.e. large airbag) is attached to the inside of the wristband, and is connected to the airbag 51 (i.e. small airbag), and is located on the inside of the human wrist when worn. During blood pressure detection, the airbag 52 (i.e. large airbag) and the airbag 51 (i.e. small airbag) in the wearable device are pressurized synchronously; when normally worn, the ulna and radius of the human wrist are flat, the bone and tendon at the airbag 51 (i.e. small airbag) are similar to those at the airbag 52 (i.e. large airbag), and at this time, the pressure difference of the two airbags is small. For example, Figure 5bAs shown in the figure, the figure is a distribution diagram of the air bag when the wearable device is abnormally worn, and the air bag 52 (i.e., the large air bag) and the air bag 51 (i.e., the small air bag) of the wearable device are synchronously pressurized during the blood pressure detection process; at this time, the air bag 51 (i.e., the small air bag) is located at the ulna 53 styloid process and the radius 54 styloid process which are obviously protruding, and there are more tendon fasciae, and the pressure from the hard parts such as bones and tendons is greater than that of the air bag 52 (i.e., the large air bag), resulting in a large pressure difference between the two air bags. Therefore, whether the wearable device is normally worn and whether the wearable device is started to detect / calibrate blood pressure can be determined by the pressure difference between the two air bags.

[0074] It can be understood that the structure shown in the embodiments of the present application does not constitute a specific limitation on the wearable device 200. In other embodiments of the present application, the wearable device 200 can include more or fewer components than the figure, or combine certain components, or split certain components, or different component arrangements. The components shown can be implemented in hardware, software, or a combination of software and hardware.

[0075] The above is the introduction of the application scenarios and the hardware structure of the wearable device in the present solution. Next, based on the Figure 1 application scenarios shown and the Figure 2 hardware structure of the wearable device shown, the triggering method of blood pressure detection in the present solution is introduced.

[0076] Figure 6 is a flow diagram of a blood pressure detection triggering method provided by an embodiment of the present application. The method can be applied to the wearable device described above Figure 2 , the bottom of the main body of the wearable device can have at least two detection devices, the at least two detection devices include a first detection device and a second detection device, wherein the first detection device is located at a first side of the bottom of the main body, the second detection device is located at a second side of the bottom of the main body, and the first side and the second side are symmetrically arranged along the length direction of the wrist strap. Exemplarily, the detection device can be the sensor 205 shown in Figure 2 , and the sensor 205 is an electrode or a capacitive sensor; wherein the first detection device can be the electrode 31 shown in Figure 3a or the capacitive sensor 41 shown in Figure 4a , and the second detection device can be the electrode 32 shown in Figure 3a or the capacitive sensor 42 shown in Figure 4a ; the first side can be understood as the upper side described in Figure 3a , and the second side can be understood as the lower side in Figure 3a .

[0077] As shown in Figure 6 , the blood pressure detection triggering method includes the following steps:

[0078] S101, determine a first detection value detected by a first detection device, and determine a second detection value detected by a second detection device, wherein the first detection device and the second detection device are synchronous detection.

[0079] In this scheme, at the beginning or before the beginning of blood pressure detection, the first detection device and the second detection device can be started to detect synchronously, so as to obtain the first detection value detected by the first detection device and the second detection value detected by the second detection device. When the first detection device is an electrode, the first detection value can be an impedance value; when the second detection device is an electrode, the second detection value can be an impedance value. When the first detection device is a capacitive sensor, the first detection value can be a capacitance value; when the second detection device is a capacitive sensor, the second detection value can be a capacitance value.

[0080] S102, determine a first deviation value between the first detection value and the second detection value.

[0081] In this scheme, the first deviation value can be a difference value, a ratio, an absolute value of the difference value, etc. For example, the first detection value and the second detection value are calculated by difference, and the absolute value is taken, so as to obtain the first deviation value.

[0082] S103, determine that the first deviation value is less than a first threshold value, and start a first function on the wearable device, the first function including blood pressure detection or calibration.

[0083] In this scheme, the first deviation value is compared with the first threshold value. When the first deviation value is less than the first threshold value, it indicates that the wearing position of the wearable device is in a normal state, and at this time, the first function on the wearable device can be started. The first function can include blood pressure detection or calibration function, etc. Thus, the detection device related to the distribution of the ulnar styloid process, radial styloid process and carpal bone of the user's wrist is arranged on the wearable device, and whether to start the first function on the wearable device is determined based on the detection value detected by the detection device, so as to realize accurate triggering of blood pressure detection, and further improve the accuracy of blood pressure measurement.

[0084] In this scheme, when the first deviation value is greater than or equal to the first threshold value, a reminder information can be sent, which can be used to remind the user to adjust the wearing posture or position. For example, when it is determined that the wearable device is not in a do-not-disturb state, a non-silent reminder can be performed, wherein the non-silent reminder includes at least one of sound reminder, vibration reminder and sending reminder information to other devices; when it is determined that the wearable device is in a do-not-disturb state, a silent reminder can be performed, such as screen lightening, etc.

[0085] Further, after the reminder information is sent, whether to start the first function can be determined again.

[0086] In one example, to improve the accuracy of detection, it can also be determined that the first detection value and the second detection value are both less than a second threshold value before starting the first function on the wearable device. The second threshold value may, for example, be the same as or different from the first threshold value.

[0087] Figure 7 is a flowchart of another blood pressure detection triggering method provided by embodiments of the present application. The method can be applied to the wearable device shown in Figure 2 The side of the wearable device wristband in contact with the human skin is provided with at least two airbags, including a first airbag and a second airbag, which are arranged in sequence in the length direction of the wristband. The first airbag is located between the second airbag and the main body of the wearable device, and the first airbag is smaller than the second airbag. For example, the at least two airbags can be the sensor 205 shown in Figure 2 The first airbag can be the airbag 51 shown in Figure 5a The second airbag can be the airbag 52 shown in Figure 5a

[0088] As shown in Figure 7 The blood pressure detection triggering method includes the following steps:

[0089] S201, determining a first pressure value of the first airbag and a second pressure value of the second airbag, wherein the first airbag and the second airbag are synchronously pressurized.

[0090] In this scheme, the first airbag and the second airbag can be synchronously pressurized at or before the start of blood pressure detection. Then, the first pressure value of the first airbag and the second pressure value of the second airbag are detected by the pressure sensor in the wearable device.

[0091] S202, determining a second deviation value between the first pressure value and the second pressure value.

[0092] In this scheme, the second deviation value can be a difference value, a ratio, an absolute value of the difference value, etc. For example, the first pressure value and the second pressure value are calculated as a difference value, and the absolute value is taken, i.e. the second deviation value can be obtained. In one example, when the pressure value of the second airbag exceeds a certain pressure threshold value, the deviation value of the pressure values of the two airbags can be calculated. It can be understood that when the pressure value of the second airbag reaches the pressure threshold value, the pressure value of the first airbag also reaches the pressure threshold value, so the second deviation value determined at this time is more accurate, thereby improving the accuracy of subsequent judgment, and thus realizing accurate triggering of blood pressure detection and improving the accuracy of blood pressure measurement.

[0093] ​S203, determine that the second deviation value is less than the third threshold value, and start a first function on the wearable device, the first function including blood pressure detection or calibration.

[0094] In this scheme, the second deviation value is compared with the third threshold value. When the second deviation value is less than the third threshold value, it indicates that the wearing position of the wearable device is in a normal state, and at this time the first function on the wearable device can be started. The first function can include functions such as blood pressure detection or calibration. Thus, a size air bag related to the distribution of the ulnar styloid process, radial styloid process and carpal bone of the user's wrist is arranged on the wearable device, and whether to start the first function on the wearable device is determined based on the pressure value of the size air bag, thereby accurately triggering blood pressure detection and improving the accuracy of blood pressure measurement.

[0095] In this scheme, when the second deviation value is greater than or equal to the third threshold value, a reminder information can be sent, which can be used to remind the user to adjust the wearing posture or position. For example, when it is determined that the wearable device is not in a do-not-disturb state, a non-silent reminder can be performed, wherein the non-silent reminder includes at least one of a sound reminder, a vibration reminder, and sending a reminder information to other devices; when it is determined that the wearable device is in a do-not-disturb state, a silent reminder can be performed, such as screen light.

[0096] Further, after sending the reminder information, whether to start the first function can be re-determined.

[0097] The above is the introduction of the blood pressure detection triggering method provided in the scheme. For ease of understanding, the sensor 205 in the scheme is taken as an electrode, a capacitive sensor and an air bag respectively for illustration. Figure 2

[0098] (1) Electrode

[0099] As shown in Figure 8 , after detection starts, the impedance value measured by the electrode array (i.e. an array composed of multiple electrodes) can be obtained. Then, it is determined whether the impedance value is less than a threshold value and whether the impedance difference is less than a threshold value. When both the impedance value and the impedance difference are less than the threshold value, it can be judged as normal wearing, and at this time the blood pressure measurement / calibration can be started. When one of the impedance value and the impedance difference is not less than the threshold value, it can be judged as abnormal wearing, and at this time it can be determined whether the wearable device is in a disturbable state. When the wearable device is in a disturbable state, the user can be reminded to wear again. When the wearable device is in an undisturbable state, the blood pressure measurement can be stopped, a silent reminder can be popped up, and the wearing situation can be detected again before the next measurement period.

[0100] (2) Capacitive sensor

[0101] As shown in Figure 9 ​As shown, after the detection starts, the capacitance value of each capacitive sensor can be obtained. Then, it is determined whether the capacitance difference is greater than the threshold. When the capacitance difference is less than the threshold, it can be judged as normal wearing, and the blood pressure measurement / calibration can be started. When the capacitance difference is not less than the threshold, it can be judged as abnormal wearing, and it can be determined whether the wearable device is in a disturbable state. When the wearable device is in a disturbable state, the user can be reminded to put it on again. When the wearable device is in a non-disturbable state, the blood pressure measurement can be stopped, a silent reminder pops up, and the wearing condition is re-detected before the next measurement cycle.

[0102] (3) Airbag

[0103] like Figure 10 As shown, after the detection starts, the large airbag and the small airbag are pressurized synchronously. When the pressure value of the large airbag reaches the threshold, the pressure difference between the two airbags is calculated. When the pressure difference is less than the threshold, it can be judged as normal wearing, and blood pressure measurement / calibration can be started. When the pressure difference is not less than the threshold, it can be judged as abnormal wearing, and it can be determined whether the wearable device is in a disturbable state. When the wearable device is in a disturbable state, the user can be reminded to put it on again. When the wearable device is in a non-disturbable state, the blood pressure measurement can be stopped, a silent reminder pops up, and the wearing condition is re-detected before the next measurement cycle.

[0104] Based on the methods in the above embodiments, embodiments of the present application further provide a triggering device for blood pressure detection, wherein the triggering device for blood pressure detection may include at least one memory and at least one processor. The memory may store a program, and the processor may execute the program stored in the memory. When the program stored in the memory is executed, the processor may execute the methods in the above embodiments.

[0105] It is understood that in the description of the embodiments of the present application, words such as "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of the present application should not be interpreted as being more preferred or advantageous over other embodiments or designs. Specifically, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0106] In the description of the embodiments of the present application, the term "and / or" is merely used to describe an associated relationship, that is, there can be three relationships, for example, A and / or B can mean that A exists alone, B exists alone, and A and B exist together. In addition, unless otherwise specified, the term "multiple" means two or more. For example, multiple systems mean two or more systems, multiple terminals mean two or more terminals, and multiple video streams mean two or more video streams.

[0107] In addition, the terms "first", "second", etc. are used only for descriptive purposes and should not be construed as indicating or implying relative importance or an indicated order of importance. Therefore, the features defined as "first", "second" can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have" and their variants mean "including but not limited to", unless otherwise specifically emphasized.

[0108] It can be understood that the processor in the embodiments of the present application can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0109] The method steps in the embodiments of the present application can be implemented by hardware, or by a combination of software and hardware executed by a processor. The software instructions can be composed of a corresponding software module, which can be stored in a random access memory (RAM), a flash memory, a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically EPROM (EEPROM), a register, a hard disk, a mobile hard disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC.

[0110] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transmitted by the computer readable storage medium. The computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be magnetic media (such as floppy disk, hard disk, magnetic tape), optical media (such as DVD), or semiconductor media (such as solid state disk (SSD)), etc.

[0111] It can be understood that the various numerical numbers involved in the embodiments of the present application are only for the convenience of differentiation, and are not used to limit the scope of the embodiments of the present application.

Claims

1. A method of triggering blood pressure detection, characterized in that, The application is applied to a wearable device, the wearable device has a wristband, the bottom of the main body of the wearable device is provided with at least two detection devices, the at least two detection devices include a first detection device and a second detection device, the first detection device and the second detection device are both capacitive sensors, or the first detection device and the second detection device are both electrodes, wherein the first detection device is located at a first side of the bottom of the main body, the second detection device is located at a second side of the bottom of the main body, and the first side and the second side are symmetrically arranged along the length direction of the wristband. The method comprises: determining a first detection value detected by the first detection device, and determining a second detection value detected by the second detection device, wherein the first detection device and the second detection device are synchronously detected, in the case that the first detection device and the second detection device are both capacitive sensors, the first detection value and the second detection value are both capacitive values, in the case that the first detection device and the second detection device are both electrodes, the first detection value and the second detection value are both impedance values; determining a first deviation value between the first detection value and the second detection value; determining that the first deviation value is less than a first threshold value, starting a first function on the wearable device, and the first function includes blood pressure detection or calibration.

2. The method of claim 1, wherein, Before the starting of the first function on the wearable device, the method further comprises: determining that the first detection value and the second detection value are both less than a second threshold value.

3. The method according to claim 1 or 2, characterized in that, The method further comprises: determining that the first deviation value is greater than or equal to the first threshold value, and issuing a reminder information, wherein the reminder information is used to remind a user to adjust a wearing posture or position; Or, determining that at least one of the first detection value and the second detection value is greater than or equal to a second threshold value, and issuing the reminder information.

4. The method of claim 3, wherein, The issuing of the reminder information specifically comprises: determining that the wearable device is not in a do-not-disturb state, and performing a non-silent reminder, wherein the non-silent reminder includes at least one of a sound reminder, a vibration reminder and sending a reminder information to other devices; Or, determining that the wearable device is in a do-not-disturb state, and performing a silent reminder.

5. The method according to claim 3 or 4, characterized in that, After the issuing of the reminder information, the method further comprises: redetermining whether to start the first function.

6. A method of triggering blood pressure detection, characterized in that, The application is applied to a wearable device, the wearable device has a wristband, the side of the wristband in contact with human skin is provided with at least two air bags, the at least two air bags include a first air bag and a second air bag, the first air bag and the second air bag are sequentially arranged in the length direction of the wristband, wherein the first air bag is located between the second air bag and the main body of the wearable device, and the first air bag is smaller than the second air bag. The method comprises: determining a first pressure value of the first air bag, and determining a second pressure value of the second air bag, wherein the first air bag and the second air bag are synchronously pressurized; determining a second deviation value between the first pressure value and the second pressure value; determining that the second deviation value is less than a third threshold value, starting a first function on the wearable device, the first function comprising blood pressure detection or calibration.

7. The method of claim 6, wherein, The method further comprises: determining that the second deviation value is greater than or equal to the third threshold value, issuing a reminder information, the reminder information being used to remind a user to adjust a wearing posture or position.

8. The method of claim 7, wherein, The issuing of the reminder information specifically comprises: determining that the wearable device is not in a do-not-disturb state, performing a non-silent reminder, the non-silent reminder comprising at least one of a sound reminder, a vibration reminder, and sending a reminder information to other devices; or, determining that the wearable device is in a do-not-disturb state, performing a silent reminder.

9. The method according to claim 7 or 8, characterized in that, After the issuing of the reminder information, the method further comprises: redetermining whether to start the first function.

10. A triggering device for blood pressure detection, characterized in that, Comprise: at least one memory for storing a program; at least one processor for executing the program stored in the memory, when the program stored in the memory is executed, the processor is used to execute the method as claimed in any one of claims 1-9.

11. A wearable device, comprising: The wearable device has a wristband and a processor, a bottom of a main body of the wearable device is provided with at least two detection devices, the at least two detection devices comprise a first detection device and a second detection device, wherein the first detection device is located at a first side of the bottom of the main body, the second detection device is located at a second side of the bottom of the main body, the first side and the second side are symmetrically arranged along a length direction of the wristband; The processor is used to execute the method as claimed in any one of claims 1-5.

12. A wearable device, comprising: The wearable device has a wristband and a processor, a side of the wristband in contact with human skin is provided with at least two air bags, the at least two air bags comprise a first air bag and a second air bag, the first air bag and the second air bag are sequentially arranged in a length direction of the wristband, wherein the first air bag is located between the second air bag and a main body of the wearable device, the first air bag is smaller than the second air bag; The processor is used to execute the method as claimed in any one of claims 6-9.

13. A computer storage medium, the computer storage medium has instructions stored therein, when the instructions are run on a computer, the computer is caused to execute the method as claimed in any one of claims 1-9.

14. A computer program product comprising instructions, when the instructions are run on a computer, the computer is caused to execute the method as claimed in any one of claims 1-9.

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