Blood pressure detection method and device

Abstract

The present application is applicable to the field of medical devices, and provides a blood pressure detection method and device, including a wrist circumference detection component, a wrist fat thickness detection component, a blood pressure detection component and a processor, wherein the processor is connected to the wrist circumference detection component, the wrist fat thickness detection component and the blood pressure detection component respectively; the wrist circumference detection group obtains the user's wrist circumference data; the wrist fat thickness detection component obtains the user's wrist fat thickness data; the blood pressure detection component obtains the user's blood pressure data; the processor corrects the blood pressure data according to the wrist circumference data and the wrist fat thickness data; eliminates the influence of wrist fat thickness and wrist circumference size on blood pressure measurement, and improves the accuracy of blood pressure measurement; also enables the same airbag to adapt to people with different wrist circumferences and wrist fat thicknesses, and different users do not need to change to different models of airbags to detect accurate target blood pressure, thereby improving the compatibility of the blood pressure measurement device and enhancing the user's wearing experience.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and more particularly to a method and apparatus for detecting blood pressure. Background Art

[0002] Currently, the most common electronic blood pressure monitor for home use is the wrist-mounted one. For portability, these wrist-mounted monitors have evolved into wristbands, wrist-mounted blood pressure monitors, or even blood pressure watches, which can track and monitor blood pressure.

[0003] When measuring wrist blood pressure, a wrist-mounted electronic blood pressure monitor uses a pressure sensor connected to the airbag to measure the air pressure signal within the airbag. Ideally, the air pressure within the airbag is transmitted to the radial artery without loss through the airbag and wrist tissue, allowing the pulse wave signal to be accurately derived from the air pressure signal. However, actual results are affected by various factors. For example, given the same wrist circumference, if the subject has thicker wrist fat and the radial artery is more deeply hidden, the elasticity of the fat tissue acts as a buffer, causing the air pressure within the airbag to exceed the actual pressure on the radial artery. This will shift the pulse wave signal to the right, resulting in the measured blood pressure being higher than the true systolic pressure.

[0004] Therefore, for a blood pressure wrist cuff, wrist blood pressure monitor or blood pressure watch, when the air bag width and length are fixed, the wrist circumference and wrist fat thickness will have a significant impact on the pulse wave signal, resulting in low blood pressure measurement accuracy. Summary of the Invention

[0005] The embodiments of the present application provide a blood pressure detection method and device, which can improve the accuracy of blood pressure measurement.

[0006] In a first aspect, an embodiment of the present application provides a blood pressure detection method, comprising: first, a wearable device obtains wrist circumference data, wrist fat thickness data, and blood pressure data; then, the wearable device corrects the blood pressure data based on the wrist circumference data and the wrist fat thickness data.

[0007] The wearable device corrects the blood pressure data based on the wrist circumference data and wrist fat thickness data, avoiding the influence of wrist circumference size and wrist fat thickness on the pulse wave signal, and improving the accuracy of blood pressure measurement; it also allows the same airbag to adapt to people with different wrist circumferences and wrist fat thicknesses. Different users do not need to change different models of airbags to detect accurate target blood pressure, which improves the compatibility of blood pressure measurement devices and enhances the user's wearing experience.

[0008] In a possible implementation manner of the first aspect, the blood pressure data may be corrected according to a mapping relationship, and the mapping relationship may be a linear fitting function.

[0009] Exemplarily, the blood pressure data is corrected using a linear fitting function, and the corrected blood pressure data is then displayed.

[0010] It should be understood that the above-mentioned linear fitting function is only an optional implementation mode, and a possible implementation manner of the first aspect includes a nonlinear fitting function, such as a polynomial fitting function.

[0011] In conjunction with the first aspect, in an implementation of the first aspect, obtaining the wrist circumference data includes:

[0012] First, electrical parameters of adjustable components around the user's wrist are detected; the adjustable components include at least one of an adjustable resistor, an adjustable capacitor or an adjustable inductor; and then the wrist circumference data corresponding to the electrical parameters is obtained.

[0013] Since the wrist circumference data is detected based on the electrical parameters of the adjustable components around the user's wrist, the portability of the wrist circumference data detection is improved and the cost of the wrist circumference data is reduced.

[0014] In conjunction with the first aspect, in an implementation of the first aspect, obtaining wrist fat thickness data includes:

[0015] An impedance test is performed on the user's wrist to obtain wrist fat thickness data; or an ultrasonic distance test is performed on the user's wrist to obtain wrist fat thickness data.

[0016] Since the wrist fat thickness data can be detected based on the impedance of the user's wrist, or based on the ultrasonic distance of the user's wrist, a non-invasive wrist fat thickness data detection method is provided, and the accuracy of the wrist fat thickness data is improved.

[0017] In conjunction with the first aspect, in an implementation of the first aspect, before obtaining the user's wrist circumference coefficient, the method further includes:

[0018] First, wrist circumference data, wrist fat thickness data, original blood pressure data, and standard blood pressure data of people of different body types are obtained; then, the wrist circumference data, wrist fat thickness data, original blood pressure data, and standard blood pressure data of each body type are fitted to obtain a corresponding mapping relationship; and then, the wrist circumference data, wrist fat thickness data, and corresponding mapping relationship of each body type are associated and stored in the database.

[0019] By testing the wrist circumference data, wrist fat thickness data, original blood pressure data and standard blood pressure data of people with different body shapes, the scope of the application of the mapping relationship is broadened and the accuracy of the mapping relationship is ensured.

[0020] In combination with the first aspect, in an implementation of the first aspect, after the wearable device corrects the blood pressure data based on the wrist circumference data and the wrist fat thickness data, the method further includes:

[0021] First, the wearable device determines the user's health level based on the wrist fat thickness data and the detected blood pressure data; then the wearable device displays the health level.

[0022] Since the health level is obtained based on wrist fat thickness data and detected blood pressure data, it comprehensively considers the user's health indicators and improves the accuracy of the health level.

[0023] In conjunction with the first aspect, in an implementation of the first aspect, after determining the health level of the user, the method further includes:

[0024] The wearable device obtains the total calorie intake of the user in a unit time; the wearable device then obtains the total calorie consumption of the user in the unit time; and finally, the wearable device outputs health reminder information based on the total calorie intake, the total calorie consumption and the health level.

[0025] Since the health level is taken into consideration when pushing health reminder information, the health reminder information is more targeted and users can get health reminder information that matches their personal health level.

[0026] In combination with the first aspect, in an implementation of the first aspect, the wearable device correcting the blood pressure data according to the wrist circumference data and the wrist fat thickness data includes:

[0027] First, when the wearable device determines that the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data, a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data is obtained from a preset database; the mapping relationship is a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data; the wearable device corrects the blood pressure data through the mapping relationship and displays the corrected blood pressure data.

[0028] A mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data is obtained from a preset database through the wearable device; the blood pressure data is then corrected through the mapping relationship, and the corrected blood pressure data is used as the detected blood pressure data; since the mapping relationship corresponds to the wrist circumference data and the wrist fat thickness data, the blood pressure data is corrected according to the mapping relationship, thereby further improving the blood pressure measurement accuracy, improving the compatibility of the blood pressure measurement device, and enhancing the user's wearing experience.

[0029] In a second aspect, an embodiment of the present application provides a blood pressure detection device, comprising:

[0030] A wrist circumference detection component, a wrist fat thickness detection component, a blood pressure detection component, and a processor, wherein the processor is connected to the wrist circumference detection component, the wrist fat thickness detection component, and the blood pressure detection component respectively;

[0031] The wrist circumference detection component is used to obtain the user's wrist circumference data;

[0032] The wrist fat thickness detection component is used to obtain the user's wrist fat thickness data;

[0033] The blood pressure detection component is used to obtain the user's blood pressure data;

[0034] The processor is used to correct the blood pressure data according to the wrist circumference data and the wrist fat thickness data.

[0035] The processor corrects blood pressure data based on wrist circumference data and wrist fat thickness data, eliminating the influence of wrist fat thickness and wrist circumference on blood pressure measurement and improving blood pressure measurement accuracy. It also allows the same airbag to adapt to people with different wrist circumferences and wrist fat thicknesses. Different users do not need to change to different models of airbags to detect accurate target blood pressure, which improves the compatibility of blood pressure measurement devices and enhances the user's wearing experience.

[0036] In conjunction with the second aspect, in an implementation of the second aspect, the blood pressure detection device includes:

[0037] A main body, and a strap connected to the main body, wherein the strap is used to wear the main body on the user's wrist; the processor is arranged in the main body.

[0038] By arranging the processor in the main body, the reliability of the blood pressure detection device is improved.

[0039] In conjunction with the third aspect, in an implementation of the third aspect, the wrist circumference detection component includes:

[0040] Adjustable components and electrical parameter detection circuits, the adjustable components and the electrical parameter detection circuits are connected; the electrical parameter detection circuits are arranged inside the main body, and are used to detect the electrical parameters of the adjustable components, and obtain wrist circumference data corresponding to the detected electrical parameters based on a pre-established correspondence between the electrical parameters and the wrist circumference data.

[0041] By detecting wrist circumference data through adjustable components and electrical parameter detection circuits, the portability of wrist circumference data detection is improved, while the cost of wrist circumference data is reduced.

[0042] In conjunction with the second aspect, in an implementation of the second aspect, the wrist fat thickness detection component includes:

[0043] An excitation electrode, a detection electrode, and an impedance detection circuit; the excitation electrode is arranged on the side of the main body for forwarding the excitation voltage; the detection electrode is arranged at the bottom of the main body for receiving the detection voltage, and the detection voltage is generated by the excitation voltage according to the voltage drop of the user's wrist fat; the impedance detection circuit is arranged inside the main body for generating the excitation voltage and calculating the wrist fat thickness data based on the excitation voltage and the detection voltage.

[0044] Wrist fat thickness data is detected by excitation electrodes, detection electrodes and impedance detection circuits, providing a non-invasive wrist fat thickness data detection method and improving the accuracy of wrist fat thickness data.

[0045] In conjunction with the second aspect, in an implementation of the second aspect, the blood pressure detection component includes:

[0046] An air pump, an air bag, and a pressure sensor; the air pump and the pressure sensor are disposed in the main body; the air bag is disposed on the second surface of the strap, the second surface being the contact surface between the strap and the wrist when the blood pressure detection device is worn on the user's wrist; the air pump is connected to the air bag, which is connected to the pressure sensor;

[0047] The air pump is used to inflate the airbag; the pressure sensor is used to detect the pressure of the gas in the airbag in real time during the airbag inflation process, and calculate the blood pressure data based on the gas pressure.

[0048] In conjunction with the second aspect, in an implementation of the second aspect, the blood pressure detection device further includes:

[0049] An indication component; the indication component is arranged on the third surface of the main body, the indication component is connected to the processor, and the third surface is the side facing away from the wrist when the blood pressure detection device is worn on the user's wrist; the indication component is used to prompt the user's health status through an indication signal.

[0050] The user's health status is prompted by the indication signal, which intuitively indicates the user's health status and improves the user experience of the blood pressure detection device.

[0051] In a third aspect, an embodiment of the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the blood pressure detection method described in any one of the first aspects is implemented.

[0052] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the blood pressure detection method described in any one of the first aspects above is implemented.

[0053] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the blood pressure detection method described in any one of the first aspects above.

[0054] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0055] The embodiment of the present application uses a wearable device to correct blood pressure data based on wrist circumference data and wrist fat thickness data; thereby eliminating the influence of wrist fat thickness and wrist circumference size on blood pressure measurement and improving blood pressure measurement accuracy; it also allows the same airbag to adapt to people with different wrist circumferences and wrist fat thicknesses, and different users do not need to change to different models of airbags to detect accurate blood pressure data, thereby improving the compatibility of the blood pressure measurement device and enhancing the user's wearing experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. 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 any creative work.

[0057] Figure 1 This is a block diagram of a module principle of the blood pressure detection device provided in an embodiment of the present application;

[0058] Figure 2 This is a module principle block diagram of a wrist circumference detection circuit of a blood pressure detection device provided in an embodiment of the present application;

[0059] Figure 3 This is a structural diagram of a blood pressure detection device with a buckle design and an embedded adjustable component in the first strap provided in an embodiment of the present application;

[0060] Figure 4 This is a side view of the second strap of the buckle design of the blood pressure detection device provided in an embodiment of the present application;

[0061] Figure 5 This is a front view of the second strap of the buckle design of the blood pressure detection device provided in an embodiment of the present application;

[0062] Figure 6This is a structural diagram of a watch hole of a buckle strap of a blood pressure detection device provided in an embodiment of the present application;

[0063] Figure 7 This is a side view of a butterfly buckle design watchband for a blood pressure monitoring device provided in an embodiment of the present application;

[0064] Figure 8 yes Figure 18 An enlarged schematic diagram of the butterfly buckle 213;

[0065] Figure 9 This is a front view of a butterfly buckle design watchband for a blood pressure monitoring device provided in an embodiment of the present application;

[0066] Figure 10 This is another module principle block diagram of the wrist fat thickness detection circuit of the blood pressure detection device provided in an embodiment of the present application;

[0067] Figure 11 This is a schematic diagram of the structure of the side electrodes of the main body of the blood pressure detection device provided in an embodiment of the present application;

[0068] Figure 12 This is a schematic structural diagram of the bottom electrode of the main body of the blood pressure detection device provided in an embodiment of the present application;

[0069] Figure 13 This is another module principle block diagram of the blood pressure detection device provided in an embodiment of the present application;

[0070] Figure 14 This is a flow chart of a blood pressure detection method provided in one embodiment of the present application;

[0071] Figure 15 A graph showing the relationship between the frequency of the test current and time during the process of performing impedance testing on the user's wrist to obtain wrist fat thickness data;

[0072] Figure 16 is a flow chart of a blood pressure detection method provided in another embodiment of the present application;

[0073] Figure 17 is a flow chart of a blood pressure detection method provided in another embodiment of the present application;

[0074] Figure 18 This is a schematic diagram of the interface that displays the health level;

[0075] Figure 19 This is a diagram of the interface of a blood pressure watch;

[0076] Figure 20 This is a structural diagram of a blood pressure detection device provided in an embodiment of the present application;

[0077] Figure 21 This is another structural diagram of the blood pressure detection device provided in an embodiment of the present application;

[0078] Figure 22 This is another structural diagram of the blood pressure detection device provided in an embodiment of the present application;

[0079] Figure 23 This is another structural diagram of the correction module of the blood pressure detection device provided in an embodiment of the present application;

[0080] Figure 24 This is another structural diagram of the correction module of the blood pressure detection device provided in an embodiment of the present application;

[0081] Figure 25 This is another structural schematic diagram of the blood pressure detection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0082] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0083] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0084] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0085] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0086] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0087] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0088] The blood pressure detection method provided in the embodiments of the present application can be applied to electronic devices, such as wearable devices. The embodiments of the present application do not impose any restrictions on the specific type of wearable devices.

[0089] As an example and not a limitation, when the electronic device is a wearable device, the wearable device can also be a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include those that are full-featured, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets, smart watches, and smart jewelry for vital sign monitoring.

[0090] Figure 1 The structure of the blood pressure detection device provided by an embodiment of the present invention is shown. For ease of description, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0091] A blood pressure detection device includes: a wrist circumference detection component 03, a wrist fat thickness detection component 01, a blood pressure detection component 02, and a processor 04, wherein the processor 04 is connected to the wrist circumference detection component 03, the wrist fat thickness detection component 01, and the blood pressure detection component 02 respectively;

[0092] The wrist circumference detection component 03 is used to obtain the user's wrist circumference data; the wrist fat thickness detection component 01 is used to obtain the user's wrist fat thickness data; the blood pressure detection component 02 is used to obtain the user's blood pressure data; and the processor 04 is used to correct the blood pressure data based on the wrist circumference data and the wrist fat thickness data.

[0093] Processor 04 is specifically used to determine whether the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data. When the blood pressure data needs to be corrected, the processor 04 obtains the mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data from a preset database, and corrects the blood pressure data through the mapping relationship.

[0094] The blood pressure detection device includes: a main body, and a strap connected to the main body, the strap is used to wear the main body on the user's wrist; the processor 04 is set in the main body.

[0095] like Figure 2 As shown, the wrist circumference detection component 03 includes an adjustable component 031 and an electrical parameter detection circuit 032, and the adjustable component 031 and the electrical parameter detection circuit 032 are connected; the electrical parameter detection circuit 032 is arranged inside the main body, and is used to detect the electrical parameters of the adjustable component, and obtain wrist circumference data corresponding to the detected electrical parameters based on a pre-established correspondence between the electrical parameters and the wrist circumference data.

[0096] In one implementation, the watch strap may be designed with a buckle, for example, Figures 3 to 6 In the embodiment, the watch strap includes a first watch strap 201-1 and a second watch strap 201-2, and the first watch strap 201-1 and the second watch strap 201-2 are respectively connected to the main body; the adjustable component 204 is arranged on the first surface of the first watch strap 201-1, and the first surface is the side close to the wrist when the blood pressure detection device is worn on the user's wrist; the first watch strap 201-1 is also provided with a plurality of clip holes 203 parallel to the adjustable component 204, and the adjustable component 204 and the clip holes 203 are connected through a first wire 202; the second watch strap 201-2 is provided with a buckle 209 that matches the clip hole 203, and the surfaces of the buckle 209 and the clip hole 203 are both provided with a second wire 205. When the buckle 209 and the clip hole 203 are connected through the second wire 205, the electrical parameters of the adjustable component 204 can be adjusted according to the position of the buckle 209.

[0097] In another implementation, the watch strap may also be designed with a butterfly buckle, for example, Figures 7 to 9In the embodiment, the watch strap includes a first watch strap 211-1 and a second watch strap 211-2, and the first watch strap 211-1 and the second watch strap 211-2 are respectively connected to the main body; the adjustable component 214 is arranged on the first surface of the first watch strap 211-1, and the first surface is the side close to the wrist when the blood pressure detection device is worn on the user's wrist. The surface of the adjustable component 214 is provided with an insulator 212, and a plurality of third wires 216 are embedded in the insulator 212 at intervals and connected to the adjustable component 214; the second watch strap 211-2 is provided with a movable butterfly buckle 213, and the butterfly buckle 213 is connected to the adjustable component 214 through the third wire 216. When the butterfly buckle 213 moves on the watch strap, the electrical parameters of the adjustable component 214 can be adjusted according to the position of the butterfly buckle 213.

[0098] Optionally, the adjustable component includes at least one of an adjustable resistor, an adjustable capacitor, and an adjustable inductor.

[0099] like Figure 10 As shown, the wrist fat thickness detection component 01 includes: an excitation electrode 011 , a detection electrode 012 and an impedance detection circuit 013 .

[0100] like Figure 11 As shown, the excitation electrode 011 is provided on the side of the main body for forwarding the excitation voltage; Figure 23 As shown, the detection electrode 012 is arranged at the bottom of the main body for receiving a detection voltage, which is generated by an excitation voltage according to a voltage drop of fat on the user's wrist; the impedance detection circuit 013 is arranged inside the main body for generating an excitation voltage and obtaining wrist fat thickness data according to the excitation voltage and the detection voltage.

[0101] Since non-fat tissue contains a lot of electrolytes and water, its electrical impedance is lower; fat tissue is anhydrous and its electrical impedance is higher; therefore, the impedance detection circuit 013 obtains the bioelectrical impedance through the excitation voltage and the detection voltage. According to the voltage drop of the user's wrist fat, the potential difference generated by the above bioelectrical impedance is measured, and the impedance detection circuit 013 can further obtain the wrist fat thickness data through the bioelectrical impedance.

[0102] Optional, such as Figure 11 and 12 As shown, there are multiple excitation electrodes 011, which are arranged in sequence on the side of the main body; there are multiple detection electrodes 012, which are set at the bottom of the main body and arranged in sequence along the bottom periphery of the main body; wherein each excitation electrode is connected to a detection electrode.

[0103] By setting multiple excitation electrodes 011 and multiple detection electrodes 012, the impedance detection circuit 013 can generate a wrist fat thickness detection signal based on multiple excitation voltages and multiple detection voltages, thereby determining more accurate wrist fat thickness data and improving the accuracy of blood pressure detection.

[0104] exist Figure 11 and 12 In the figure, buttons 11, 12, 13, and 14 are respectively arranged on the sides of the main body. Eight detection electrodes are arranged on the bottom of the main body, namely detection electrode 1, detection electrode 2, detection electrode 3, detection electrode 4, detection electrode 5, detection electrode 6, detection electrode 7, and detection electrode 8. An excitation electrode is arranged on each of the left and right sides of the main body, namely excitation electrode 9 and excitation electrode 10. Detection electrode 1, detection electrode 3, detection electrode 5, and detection electrode 7 are connected to form a first group of detection electrodes, and detection electrode 2, detection electrode 4, detection electrode 6, and detection electrode 8 are connected to form a second group of detection electrodes. The first group of detection electrodes and excitation electrode 9 are connected through the user's body, and the second group of detection electrodes and excitation electrode 10 are connected through the user's body.

[0105] Assume that the blood pressure detection device is worn on the left hand, the electrode at the bottom of the main body of the blood pressure detection device contacts the left wrist, and two fingers of the right hand touch the two electrodes on the side of the main body. At this time, the human body is connected to the circuit. Due to the conductivity of the human body, the first group of detection electrodes and the excitation electrode 9 are connected through the user's body, and the second group of detection electrodes and the excitation electrode 10 are connected through the user's body to form a loop, and the impedance of the human body is not 0, so there is a potential difference between the electrodes. The impedance detection circuit 013 can calculate the wrist fat thickness data based on the potential difference between multiple excitation voltages and multiple detection voltages.

[0106] It should be noted that the positions of the excitation electrode 011 and the detection electrode 012 can be interchanged, and multiple excitation electrodes 011i can also be set at the bottom of the main body of the blood pressure detection device and arranged in sequence along the bottom periphery of the main body of the blood pressure detection device; multiple groups of detection electrodes 012i can also be arranged in sequence on the side of the main body of the blood pressure detection device.

[0107] In another embodiment, the wrist fat thickness detection circuit 01 includes at least one of an optical sensor and an ultrasonic sensor.

[0108] The wrist fat thickness detection circuit 01 can send a first ultrasonic wave to the user's wrist and record the sending time of the first ultrasonic wave; when receiving a second ultrasonic wave, it records the receiving time of the second ultrasonic wave. The second ultrasonic wave is the ultrasonic wave emitted back after the first ultrasonic wave contacts the bone of the wrist; and the wrist fat thickness data is determined based on the sending time of the first ultrasonic wave and the receiving time of the second ultrasonic wave.

[0109] It should be noted that the blood pressure detection component includes: an air pump, an air bag and a pressure sensor.

[0110] The air pump and pressure sensor are arranged in the main body. Figure 11 and 12 As shown, the airbag 220 is arranged on the second surface of the strap 211-1, and the second surface is the contact surface between the strap and the wrist when the blood pressure detection device is worn on the user's wrist; the air pump is connected to the airbag 220, and the airbag 220 is connected to the pressure sensor; the air pump is used to inflate the airbag 220; the pressure sensor is used to detect the pressure of the gas in the airbag in real time during the inflation process of the airbag 220, and obtain blood pressure data based on the gas pressure.

[0111] Optional, such as Figure 13 As shown, the blood pressure detection device also includes: an indication component 05; the indication component 05 is arranged on the third surface of the main body, the indication component 05 is connected to the processor 04, and the third surface is the side facing away from the wrist when the blood pressure detection device is worn on the user's wrist; the indication component is used to prompt the user's health status through an indication signal.

[0112] Indicator assembly 05 may include multiple LEDs that flash or stay lit to indicate whether the user's target blood pressure, heart rate, and body fat thickness coefficient are normal. The LEDs may also be illuminated using different colors (red, orange, yellow, green, etc.) to indicate different health conditions. For example, a red LED indicates a serious health condition, an orange LED indicates a major health condition, a yellow LED indicates a minor health condition, and a green LED indicates good health.

[0113] The blood pressure detection device may be a blood pressure wrist cuff, a wrist sphygmomanometer or a blood pressure watch.

[0114] Next, the blood pressure detection method provided in Example 1 of this application is introduced in detail. Figure 14 The blood pressure detection method shown in FIG. 1 includes:

[0115] Figure 14 The following is a schematic flow chart of the blood pressure detection method provided by the present application. As an example and not a limitation, the method can be applied to the above-mentioned electronic device. The blood pressure detection method includes:

[0116] S101: The wearable device obtains wrist circumference data, wrist fat thickness data, and blood pressure data.

[0117] Specifically, the wrist circumference data may be the product of the wrist circumference length and a preset coefficient.

[0118] In a possible implementation, the wearable device acquiring the user's wrist circumference data may include:

[0119] S101-1a: The wearable device detects electrical parameters of an adjustable component around the user's wrist; the adjustable component includes at least one of an adjustable resistor, an adjustable capacitor, or an adjustable inductor.

[0120] The adjustable component can be arranged inside or on the first surface of the strap of the electronic device, and the electrical parameters of the adjustable component can be adjusted according to the position of the buckle or butterfly buckle of the strap.

[0121] In specific implementations, electrical parameter detection is performed in two ways. In the first, a constant voltage source is used as the power source. Different positions of the buckle or butterfly clasp on the strap result in different currents flowing through the adjustable component, thereby obtaining different electrical parameters. In the second, a constant current source is used as the power source. Different positions of the buckle or butterfly clasp on the strap result in different potential differences across the adjustable component, thereby obtaining different electrical parameters.

[0122] For example, when the electronic device is a wrist-type electronic device, the electronic device includes a main body and a strap connected to the main body, and the strap is used to wear the electronic device on the user's wrist. Figures 3 to 9 shown.

[0123] S101 - 2a: Obtain wrist circumference data corresponding to the electrical parameters.

[0124] Specifically, the wrist circumference data corresponding to the electrical parameters may be obtained from a second preset database; or the wrist circumference data corresponding to the electrical parameters may be obtained according to a functional relationship.

[0125] It should be noted that the adjustable component may include at least one of an adjustable resistor, an adjustable capacitor, and an adjustable inductor. The electrical parameter includes at least one of a capacitance value, a resistance value, and an inductance value.

[0126] There are two possible ways to obtain the wrist fat thickness coefficient, as follows:

[0127] In one possible implementation, the wrist fat thickness coefficient is obtained by performing impedance detection on the user's body. Specifically, multiple test currents of multiple frequencies are input to the user; multiple potential differences generated by the test currents of multiple frequencies in the human body are detected; and wrist fat thickness data is determined based on the multiple test currents and multiple potential differences. The relationship between the frequency of the test current and time is shown in the figure below. Figure 15 As shown, Figure 15 The X-axis represents time, and the Y-axis represents the frequency of the test current.

[0128] On the one hand, because non-fat tissue contains a lot of electrolytes and water, its electrical impedance is low; fat tissue is anhydrous and has a higher electrical impedance. On the other hand, when direct current or low-frequency current is injected into biological tissue, the current bypasses the cells and flows primarily through the extracellular fluid. As the frequency of the injected current increases, the current can pass through the cell membrane and flow through the intracellular fluid. Therefore, the bioelectrical impedance of the user's wrist changes with frequency. Multiple frequencies and the impedance spectra corresponding to these frequencies contain rich information about impedance and body composition. Therefore, the bioelectrical impedance at different frequencies can be obtained based on multiple test currents and multiple potential differences. Therefore, wrist fat thickness data can be determined based on the bioelectrical impedance at different frequencies.

[0129] In another possible implementation, wrist fat thickness data is obtained by performing ultrasonic distance detection on the user's wrist. A first ultrasonic wave is transmitted to the user's wrist, and the transmission time of the first ultrasonic wave is recorded. Upon receiving a second ultrasonic wave, the reception time of the second ultrasonic wave is recorded. The second ultrasonic wave is the wave emitted after the first ultrasonic wave contacts the wrist bone and then returned. The wrist fat thickness data is determined based on the transmission time of the first ultrasonic wave and the reception time of the second ultrasonic wave.

[0130] It should be noted that the wrist circumference data and the wrist fat thickness data may be real-time detected data. For example, when the blood pressure detection information is triggered, the user's current wrist circumference data and the wrist fat thickness data are detected.

[0131] Preferably, because the user's wrist circumference data and wrist fat thickness data change less over short periods of time, a time interval can be set. At each time interval, the user's wrist circumference data and wrist fat thickness data are detected and stored. At the next time interval, the newly detected wrist circumference data and wrist fat thickness data replace the previously stored data. When blood pressure detection information is triggered, the wrist circumference data and wrist fat thickness data are directly retrieved from the stored location.

[0132] Finally, a sphygmomanometer can be used to obtain the user's blood pressure data. Specifically, a pressure sensor connected to the airbag measures the air pressure within the airbag, and separates the pulse wave signal from this pressure. The pulse wave signal is then processed, for example, by extracting the pulse wave envelope and individual pulse wave features to obtain characteristic parameters, and the blood pressure data is calculated based on these characteristic parameters.

[0133] S102: The wearable device corrects the blood pressure data based on the wrist circumference data and the wrist fat thickness data.

[0134] S102-1: When the wearable device determines that the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data, a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data is obtained from a preset database.

[0135] Specifically, if the wrist circumference data is not less than the preset wrist circumference data and / or the wrist fat thickness data is not less than the preset wrist fat thickness data, it is determined that the blood pressure data needs to be corrected.

[0136] Step S102-1 may specifically be:

[0137] When the wrist fat thickness data is less than the first preset wrist fat thickness and the wrist circumference data is less than the second wrist circumference, it is determined that the blood pressure data does not need to be corrected;

[0138] When the wrist fat thickness data is greater than the first preset wrist fat thickness and the wrist circumference data is less than the first wrist circumference, it is determined that the blood pressure data does not need to be corrected;

[0139] When the wrist fat thickness data is less than the first preset wrist fat thickness and the wrist circumference data is greater than the second wrist circumference, it is determined that the blood pressure data needs to be corrected;

[0140] When the wrist fat thickness data is less than the second preset wrist fat thickness and greater than the first preset wrist fat thickness, and the wrist circumference data is greater than the first wrist circumference and less than the second wrist circumference, it is determined that the blood pressure data needs to be corrected;

[0141] When the wrist fat thickness data is less than the second preset wrist fat thickness and greater than the first preset wrist fat thickness, and the wrist circumference data is greater than the second wrist circumference, it is determined that the blood pressure data needs to be corrected;

[0142] When the wrist fat thickness data is greater than the second preset wrist fat thickness and greater than the first preset wrist fat thickness, and the wrist circumference data is greater than the first wrist circumference, it is determined that the blood pressure data needs to be corrected.

[0143] The first preset wrist fat thickness is smaller than the second preset wrist fat thickness, and the first wrist circumference is smaller than the second wrist circumference. The first wrist circumference may be 150 mm, and the second wrist circumference may be 180 mm.

[0144] After the wearable device determines that the blood pressure data needs to be corrected, it retrieves a mapping relationship that matches the wrist circumference data and the wrist fat thickness data from a preset database. The mapping relationship in the preset database corresponds one-to-one with the wrist circumference data and the wrist fat thickness data.

[0145] S102-2: The wearable device corrects the blood pressure data through the mapping relationship and displays the corrected blood pressure data.

[0146] Specifically, a compensation value is obtained through a mapping relationship, the blood pressure data is corrected according to the compensation value (the sum of the compensation value and the blood pressure data is used as the corrected blood pressure data), and the corrected blood pressure data is displayed.

[0147] The mapping relationship may be a quadratic polynomial function or a cubic polynomial function.

[0148] For example, the mapping relationship can be:

[0149] in, is the compensation value, For wrist circumference data, is the wrist fat thickness data, 、 、 、 、 and are all constants.

[0150] Figure 16 Another process diagram of the blood pressure detection method provided in the embodiment of the present application is as follows:

[0151] S201: Obtain wrist circumference data, wrist fat thickness data, original blood pressure data, and standard blood pressure data for people of different body shapes.

[0152] First, multiple samples of each body type are selected and multiple wrist circumference data, multiple wrist fat thickness data, multiple raw blood pressure data, and multiple standardized blood pressure data are measured. The experimental data are then screened to eliminate unqualified samples. Finally, the multiple raw blood pressure data of each sample measured by the first blood pressure monitor are averaged, and the multiple standardized blood pressure data of each sample measured by the second blood pressure monitor are averaged to form data points on the calibration curve. The first blood pressure monitor uses a universal air bag, while the second blood pressure monitor uses an air bag adapted to the user's wrist circumference and wrist fat thickness data, or the second blood pressure monitor can be a mercury sphygmomanometer or a medical arm-type electronic blood pressure monitor. The different body types include at least one of skin color, gender, age, height, weight, wrist circumference, blood pressure, and various diseases.

[0153] S202: Fitting the wrist circumference data, wrist fat thickness data, original blood pressure data, and standard blood pressure data of each body type group to obtain a corresponding mapping relationship.

[0154] The above data points are plotted as a scatter plot, and multiple mapping relationships are obtained by fitting a function curve based on different wrist circumference data and wrist fat thickness data. The mapping relationship can be any function fitting, including linear functions or nonlinear functions.

[0155] S203: The wrist circumference data, wrist fat thickness data and corresponding mapping relationships of each body type group are associated and stored in the database.

[0156] The mapping relationship in the database corresponds one-to-one with the wrist circumference data and the wrist fat thickness data.

[0157] S204: The wearable device obtains the user's wrist circumference data.

[0158] S205: The wearable device obtains wrist fat thickness data of the user.

[0159] S206: The wearable device obtains the user's blood pressure data.

[0160] S207: The wearable device determines whether the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data.

[0161] Specifically, it is determined whether the wrist circumference data is smaller than the preset wrist circumference data and whether the wrist fat thickness data is smaller than the preset wrist fat thickness data.

[0162] S208a: If the blood pressure data does not need to be corrected, the wearable device uses the blood pressure data as detected blood pressure data.

[0163] Specifically, if the wrist circumference data is smaller than the preset wrist circumference data and the wrist fat thickness data is smaller than the preset wrist fat thickness data, it is determined that the blood pressure data does not need to be corrected, and the blood pressure data is used as the detected blood pressure data.

[0164] S208b: If the blood pressure data needs to be corrected, the wearable device obtains a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data from a preset database.

[0165] A mapping relationship matching the wrist circumference data and the wrist fat thickness data is obtained from a preset database. The mapping relationship in the preset database corresponds one-to-one with the wrist circumference data and the wrist fat thickness data.

[0166] S209b: The wearable device corrects the blood pressure data through the mapping relationship, and uses the corrected blood pressure data as the detected blood pressure data.

[0167] Figure 17 Another process diagram of the blood pressure detection method provided in the embodiment of the present application is as follows:

[0168] S301: The wearable device obtains the user's wrist circumference data.

[0169] S302: The wearable device obtains wrist fat thickness data of the user.

[0170] S303: The wearable device obtains the user's blood pressure data.

[0171] S304: The wearable device determines that the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data, and obtains a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data from a preset database.

[0172] S305: The wearable device corrects the blood pressure data through the mapping relationship, and uses the corrected blood pressure data as the detected blood pressure data.

[0173] S306: The wearable device determines the user's health level based on the wrist fat thickness data and the detected blood pressure data; and displays the health level.

[0174] The health level can be severe physical problems, major physical problems, minor physical problems, and good health.

[0175] Specifically, the health level corresponding to the blood pressure data and the wrist fat thickness data may be obtained from the third preset database.

[0176] Optionally, the health level, target blood pressure, heart rate, body fat thickness and other coefficients can be displayed in the form of graphs, tables, animations and / or text. For example, the interface diagram of the health level display is as follows: Figure 18 As shown, a broken heart indicates that the user has an irregular heartbeat, while a full heart indicates that the user does not have an irregular heartbeat. A thinner person icon indicates that the user has normal body fat, while a heavier person icon indicates that the user has high body fat. The numbers from top to bottom represent the user's systolic blood pressure, diastolic blood pressure, heart rate, and body fat thickness coefficient. It should be noted that the body fat thickness coefficient can include body fat percentage.

[0177] For example, the LED light can flash or stay on to indicate whether the user's target blood pressure, heart rate, and body fat thickness coefficient are normal, and the color of the LED light (red, orange, yellow, green, etc.) can indicate different health levels. For example, a red LED indicates a serious health problem, an orange LED indicates a major health problem, a yellow LED indicates a minor health problem, and a green LED indicates that the user is in good health.

[0178] S307: The wearable device obtains the total calorie intake of the user in a unit time.

[0179] Specifically, the total calorie intake of the user per unit time sent by the terminal can be obtained through the wireless communication link. The total calorie intake of the user per unit time can be calculated based on the food images of the user's meal taken by the terminal and the calorie content of each food.

[0180] The terminal is connected to the electronic device, converts the user's diet records into total calorie intake, and sends the total calorie intake to the electronic device.

[0181] S308: The wearable device obtains the total calories consumed by the user in a unit time.

[0182] For example, the user's motion state information per unit time may be acquired through a motion detection sensor, and the user's total calorie consumption may be calculated based on the motion state information.

[0183] S309: The wearable device outputs health reminder information based on the total calorie intake, total calorie consumption, and health level.

[0184] The difference between total calorie intake and total calorie consumption is used as the net calorie consumption value. The level difference is obtained based on the historical health level and health level, and health reminder information corresponding to the net calorie consumption value and the level difference is obtained and displayed. The health reminder information includes the health improvement level and health improvement suggestions.

[0185] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0186] The following describes the embodiments of the present invention in more detail with reference to specific examples. It should be noted that these examples are intended only to help those skilled in the art understand the embodiments of the present invention and are not intended to limit the embodiments of the present invention to the specific numerical values ​​or specific scenarios illustrated. It is obvious that those skilled in the art can make various equivalent modifications or variations based on the examples given, and such modifications or variations also fall within the scope of the embodiments of the present invention.

[0187] It should be understood that the blood pressure watch in this example corresponds to Figure 14 Blood pressure detection device in.

[0188] S190: The user presses Figure 19 The preset button of the blood pressure watch shown, or the user triggers Figure 19 The button "Blood Pressure Detection" in the blood pressure watch interface shown is used. The blood pressure watch generates a detection instruction based on key operation or button operation.

[0189] S191: The blood pressure watch first detects the electrical parameters of the adjustable components around the user's wrist according to the detection instructions and obtains wrist circumference data corresponding to the electrical parameters. Specifically, the user adjusts the position of the watchband's buckle or butterfly clasp based on the wrist circumference. The electrical parameters of the adjustable components are determined by the position of the buckle or butterfly clasp. For example, the blood pressure watch determines the wrist circumference data to be 181mm.

[0190] S192: The blood pressure watch then inputs test currents of multiple frequencies to the user; detects multiple potential differences generated by the test currents of multiple frequencies in the human body; obtains bioelectrical impedance at different frequencies based on the multiple test currents and the multiple potential differences; and determines wrist fat thickness data based on the bioelectrical impedance at different frequencies. For example, the blood pressure watch determines the wrist fat thickness data to be 4.5 mm.

[0191] S193: The blood pressure watch obtains the user's blood pressure data again. Specifically, the blood pressure watch obtains the user's systolic pressure as 140 mmHg and the user's diastolic pressure as 90 mmHg.

[0192] S194: The blood pressure watch determines whether the blood pressure data requires correction based on the wrist circumference data and the wrist fat thickness data. Specifically, if the blood pressure watch determines that the wrist fat thickness data is less than a second preset wrist fat thickness (e.g., 5 mm) and greater than a first preset wrist fat thickness (e.g., 2.5 mm), and that the wrist circumference data is greater than a second wrist circumference (e.g., 180 mm), the blood pressure watch determines that the blood pressure data requires correction.

[0193] S195: The blood pressure watch obtains a fitting function corresponding to the wrist circumference data and the wrist fat thickness data from a preset database.

[0194] S196: The blood pressure watch obtains a compensation value of 4 mmHg through a fitting function, corrects the blood pressure data according to the compensation value, and uses the corrected blood pressure data (the user's systolic blood pressure is 144 mmHg, and the user's diastolic blood pressure is 94 mmHg) as the detected blood pressure data and displays it.

[0195] S197: The blood pressure watch determines the user's health level as 4 based on the wrist fat thickness data and the detected blood pressure data, and displays the health level. For example, the health level may be displayed on the interface and the LED may turn orange to indicate a serious health problem.

[0196] S198: The blood pressure watch obtains the user's total calorie intake of 3200Ka in a day sent by the terminal through the wireless communication link. The blood pressure watch also obtains the user's total calorie consumption of 1589Ka per unit time through the motion sensor.

[0197] S199: The blood pressure watch uses the difference between the total calorie intake value and the total calorie consumption value, 1611Ka, as the net calorie consumption value; based on the historical health level (3 levels) and the health level difference value of 1, the watch obtains health prompt information corresponding to the net calorie consumption value of 1611Ka and the level difference value of 1, such as the health prompt information including immediately using a standard blood pressure monitor to measure blood pressure, taking relevant medicines, reducing calorie intake and contacting a doctor, etc., and displays the health prompt information.

[0198] Corresponding to the blood pressure detection method of the above embodiment, Figure 20 A structural block diagram of a blood pressure detection device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0199] Reference Figure 20 The blood pressure detection device 60 includes a wrist circumference data acquisition module 610 and a correction module 620.

[0200] The wrist circumference data acquisition module 610 is used to acquire wrist circumference data, wrist fat thickness data and blood pressure data.

[0201] The correction module 620 is used to correct the blood pressure data according to the wrist circumference data and the wrist fat thickness data.

[0202] like Figure 21 As shown, the blood pressure detection device 60 also includes a health level determination module 6100.

[0203] The health level determination module 6100 is used to determine the user's health level based on the wrist fat thickness data and the detected blood pressure data; and display the health level.

[0204] like Figure 22 As shown, the blood pressure detection device 60 also includes a calorie acquisition module 6110 , a total calorie consumption acquisition module 6120 and a health prompt information acquisition module 6130 .

[0205] The calorie acquisition module 6110 is used to obtain the total calorie intake of the user in a unit time.

[0206] The total calorie consumption acquisition module 6120 is used to obtain the total calorie consumption of the user in a unit time.

[0207] The health reminder information acquisition module 6130 is used to output health reminder information based on the total calorie intake, total calorie consumption and health level.

[0208] The wrist circumference data acquisition module 610 includes an electrical parameter detection module 611 a and a wrist circumference data determination module 612 a .

[0209] The electrical parameter detection module 611a is used to detect the electrical parameters of the adjustable components around the user's wrist; the adjustable components include at least one of an adjustable resistor, an adjustable capacitor or an adjustable inductor.

[0210] The wrist circumference data determining module 612a is used to obtain wrist circumference data corresponding to the electrical parameters.

[0211] In one implementation, the wrist circumference data acquisition module 610 is further configured to perform impedance detection on the user's wrist to obtain wrist fat thickness data. The wrist circumference data acquisition module 610 further includes:

[0212] The test current input module 611b is used to input test currents of multiple frequencies to the user.

[0213] The potential difference detection module 612b is used to detect multiple potential differences formed in the human body by test currents of multiple frequencies.

[0214] The first wrist fat thickness data determining module 613b is configured to determine wrist fat thickness data according to a plurality of test currents and a plurality of potential differences.

[0215] In another implementation, the wrist circumference data acquisition module 610 is further configured to perform ultrasonic distance detection on the user's wrist to acquire wrist fat thickness data. The wrist circumference data acquisition module 610 further includes:

[0216] The first ultrasonic wave transmitting module 611c is configured to transmit a first ultrasonic wave to the wrist of the user and record the transmitting time of the first ultrasonic wave.

[0217] The second ultrasonic wave capturing module 612c is configured to record the reception time of the second ultrasonic wave when receiving the second ultrasonic wave, where the second ultrasonic wave is the ultrasonic wave emitted back after the first ultrasonic wave contacts the bones of the wrist.

[0218] The second wrist fat thickness data determining module 613c is configured to determine the wrist fat thickness data according to the sending time of the first ultrasonic wave and the receiving time of the second ultrasonic wave.

[0219] like Figure 23 As shown, the correction module 620 includes a mapping relationship acquisition module 621 and a display module 622 .

[0220] The mapping relationship acquisition module 621 is used to determine whether the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data, and then obtain the mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data from a preset database.

[0221] The display module 622 is used to correct the blood pressure data through the mapping relationship and display the corrected blood pressure data.

[0222] like Figure 24 As shown, the correction module 620 further includes a blood pressure determination module 623 .

[0223] The blood pressure determination module 623 is configured to display the blood pressure data if the blood pressure data does not require correction.

[0224] like Figure 25 As shown, the blood pressure detection device 60 further includes a sample detection module 670 , a mapping relationship determination module 680 and a storage module 690 .

[0225] The sample detection module 670 is used to obtain wrist circumference data, wrist fat thickness data, original blood pressure data and standard blood pressure data of people with different body shapes.

[0226] The mapping relationship determination module 680 is used to fit the wrist circumference data, wrist fat thickness data, original blood pressure data and standard blood pressure data of each body type group to obtain the corresponding mapping relationship.

[0227] The storage module 690 is used to associate and store the wrist circumference data, wrist fat thickness data and corresponding mapping relationships of each body type group into a database.

[0228] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0229] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0230] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned various method embodiments can be implemented.

[0231] An embodiment of the present application provides a computer program product. When the computer program product is run on a mobile electronic device, the electronic device can implement the steps in the above-mentioned various method embodiments when executing the computer program product.

[0232] If the integrated unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process steps in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to an electronic device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, removable hard drives, magnetic disks, or optical disks. In some jurisdictions, based on legislation and patent practice, computer-readable media cannot be electric carrier signals or telecommunication signals.

[0233] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0234] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0235] In the embodiments provided in this application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0236] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0237] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A blood pressure detection method, characterized in that: include: Wearable devices obtain wrist circumference data, wrist fat thickness data, and blood pressure data; Obtaining wrist fat thickness data includes: performing impedance detection on the user's wrist to obtain wrist fat thickness data; or performing ultrasonic distance detection on the user's wrist to obtain wrist fat thickness data; wherein the wearable device obtains the user's wrist fat thickness data through a wrist fat thickness detection component, the wrist fat thickness detection component including: an excitation electrode, a detection electrode, and an impedance detection circuit, and the wearable device obtains the user's wrist circumference data through a wrist circumference detection component; The wearable device corrects the blood pressure data according to the wrist circumference data and the wrist fat thickness data, including: when the wearable device determines that the blood pressure data needs to be corrected according to the wrist circumference data and the wrist fat thickness data, obtaining a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data from a preset database; the mapping relationship is a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data; the wearable device corrects the blood pressure data through the mapping relationship and displays the corrected blood pressure data, wherein a compensation value is obtained through the mapping relationship, and the blood pressure data is corrected according to the compensation value.

2. The blood pressure detection method according to claim 1, wherein: The obtaining of wrist circumference data comprises: Detecting electrical parameters of an adjustable component around a user's wrist; the adjustable component includes at least one of an adjustable resistor, an adjustable capacitor, or an adjustable inductor; The wrist circumference data corresponding to the electrical parameter is acquired.

3. The blood pressure detection method according to claim 1, wherein: The performing impedance detection on the user's wrist to obtain wrist fat thickness data includes: Inputting test currents of multiple frequencies into the user's wrist; detecting a plurality of potential differences formed on the wrist by the test currents of a plurality of frequencies; The wrist fat thickness data is determined according to the plurality of test currents and the plurality of potential differences.

4. The blood pressure detection method according to claim 1, wherein: The ultrasonic distance detection on the user's wrist to obtain the wrist fat thickness coefficient includes: sending a first ultrasonic wave to the user's wrist and recording the time when the first ultrasonic wave was sent; When a second ultrasonic wave is received, the reception time of the second ultrasonic wave is recorded, where the second ultrasonic wave is emitted back after the first ultrasonic wave contacts the bone of the wrist; The wrist fat thickness data is determined based on the transmission time of the first ultrasonic wave and the reception time of the second ultrasonic wave.

5. The blood pressure detection method according to claim 1, wherein: Before obtaining the wrist circumference data, the method further includes: Obtain wrist circumference data, wrist fat thickness data, original blood pressure data and standard blood pressure data for people of different body types; Fitting the wrist circumference data, the wrist fat thickness data, the original blood pressure data, and the standard blood pressure data of each body type group to obtain a corresponding mapping relationship; The wrist circumference data, the wrist fat thickness data and the corresponding mapping relationship of each body type group are associated and stored in the database.

6. The blood pressure detection method according to claim 1, wherein: After the wearable device corrects the blood pressure data according to the wrist circumference data and the wrist fat thickness data, the wearable device further includes: The wearable device determines the user's health level according to the wrist fat thickness data and the detected blood pressure data; The wearable device displays the health level.

7. The blood pressure detection method according to claim 6, wherein: After determining the health level of the user, the method further includes: The wearable device obtains the total calorie intake of the user in unit time; The wearable device obtains the total calories consumed by the user in the unit time; The wearable device outputs health reminder information according to the total calorie intake, the total calorie consumption and the health level.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the blood pressure detection method according to any one of claims 1 to 7 is implemented.

9. A blood pressure detection device, characterized in that: include: A wrist circumference detection component, a wrist fat thickness detection component, a blood pressure detection component, and a processor, wherein the processor is connected to the wrist circumference detection component, the wrist fat thickness detection component, and the blood pressure detection component respectively; The wrist circumference detection component is used to obtain the user's wrist circumference data; The wrist fat thickness detection component is used to obtain the user's wrist fat thickness data; The obtaining of wrist fat thickness data includes: performing impedance detection on the user's wrist to obtain wrist fat thickness data; or performing ultrasonic distance detection on the user's wrist to obtain wrist fat thickness data; the wrist fat thickness detection component includes: an excitation electrode, a detection electrode, and an impedance detection circuit; The blood pressure detection component is used to obtain the user's blood pressure data; The processor is used to correct the blood pressure data based on the wrist circumference data and the wrist fat thickness data, including: judging that the blood pressure data needs to be corrected based on the wrist circumference data and the wrist fat thickness data, then obtaining a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data from a preset database; the mapping relationship is a mapping relationship corresponding to the wrist circumference data and the wrist fat thickness data; the blood pressure data is corrected through the mapping relationship, and the corrected blood pressure data is displayed, wherein a compensation value is obtained through the mapping relationship, and the blood pressure data is corrected according to the compensation value.

10. The blood pressure detection device according to claim 9, wherein: The blood pressure detection device comprises: a main body, and a strap connected to the main body, the strap being used to wear the main body on a user's wrist; The processor is disposed in the main body.

11. The blood pressure detection device according to claim 10, wherein: The wrist circumference detection component includes: An adjustable component and an electrical parameter detection circuit, wherein the adjustable component is connected to the electrical parameter detection circuit; The electrical parameter detection circuit is arranged inside the main body, and is used to detect the electrical parameters of the adjustable components, and obtain wrist circumference data corresponding to the detected electrical parameters based on a pre-established correspondence between the electrical parameters and the wrist circumference data.

12. The blood pressure detection device according to claim 11, wherein: The watch strap includes a first watch strap and a second watch strap, wherein the first watch strap and the second watch strap are respectively connected to the main body; The adjustable component is provided on a first surface of the first strap, where the first surface is the side of the blood pressure detection device that is close to the wrist when the device is worn on the user's wrist; The first watchband is further provided with a plurality of clamping holes parallel to the adjustable components, and the adjustable components are connected to the clamping holes via a first wire; The second watch strap is provided with a buckle that matches the buckle hole, and the surfaces of the buckle and the buckle hole are both provided with a second wire. When the buckle is connected to the buckle hole through the second wire, the electrical parameters of the adjustable component can be adjusted according to the position of the buckle.

13. The blood pressure detection device according to claim 11, wherein: The watch strap includes a first watch strap and a second watch strap, wherein the first watch strap and the second watch strap are respectively connected to the main body; The adjustable component is provided on a first surface of the first watchband, the first surface being the side of the blood pressure detection device that is closest to the wrist when the device is worn on the user's wrist. An insulator is provided on the surface of the adjustable component, and a plurality of third conductive wires are embedded in the insulator at intervals and connected to the adjustable component. The second watch strap is provided with a movable butterfly buckle, which is connected to the adjustable component via the third wire. When the butterfly buckle moves on the watch strap, the electrical parameters of the adjustable component can be adjusted according to the position of the butterfly buckle.

14. The blood pressure detection device according to any one of claims 11 to 13, wherein: The adjustable components include at least one of an adjustable resistor, an adjustable capacitor and an adjustable inductor.

15. The blood pressure detection device according to claim 10, wherein The excitation electrode is provided on the side of the main body and is used to forward the excitation voltage; The detection electrode is provided at the bottom of the main body and is used to receive a detection voltage, wherein the detection voltage is generated by the excitation voltage according to a voltage drop of fat on the user's wrist; The impedance detection circuit is arranged inside the main body, and is used to generate the excitation voltage and calculate the wrist fat thickness data according to the excitation voltage and the detection voltage.

16. The blood pressure detection device according to claim 15, wherein: There are multiple excitation electrodes, which are sequentially arranged on the side of the main body; There are multiple detection electrodes, which are arranged at the bottom of the main body and arranged in sequence along the periphery of the bottom of the main body; Each excitation electrode is connected to a detection electrode.

17. The blood pressure detection device according to claim 10, wherein: The blood pressure detection component includes: Air pump, air bag and pressure sensor; The air pump and the pressure sensor are arranged in the main body, and the air bag is arranged on the second surface of the strap, and the second surface is the contact surface between the strap and the wrist when the blood pressure detection device is worn on the wrist of the user; The air pump is connected to the air bag, and the air bag is connected to the pressure sensor; The air pump is used to inflate the airbag; The pressure sensor is used to detect the pressure of the gas in the airbag in real time during the airbag inflation process, and calculate blood pressure data based on the gas pressure.

18. The blood pressure detection device according to claim 10, wherein: The blood pressure detection device further comprises: Indicator component; The indicator component is disposed on a third surface of the main body, the indicator component is connected to the processor, and the third surface is a surface of the blood pressure detection device facing away from the wrist when the device is worn on the user's wrist; The indication component is used to indicate the health condition of the user through an indication signal.

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