Calibration method and device, blood pressure detection method and device, wearable device

Abstract

The present specification provides a calibration method and device, a blood pressure detection method and device, and a wearable device. The calibration method comprises collecting a standard blood pressure value by using an inflatable sphygmomanometer of the wearable device, determining a first time difference according to a collected electrocardiogram signal and a pulse wave signal, and determining a target mapping relationship between a pulse wave transmission time and a blood pressure value by using the first time difference and the standard blood pressure value. In the data calibration process, the inflatable sphygmomanometer built in the wearable device can realize data self-calibration, and an additional device is not needed to obtain a standard blood pressure value. The data calibration process is more convenient to operate. In the calibration process, blood pressure, ECG, pulse wave and other signals can be detected synchronously, the human body conditions corresponding to different signals at the same time are the same, errors caused by different time synchronization are avoided, and therefore the calibration precision is higher.

Description

Technical Field

[0001] This specification relates to the field of electronic equipment technology, specifically to a calibration method and apparatus, a blood pressure detection method and apparatus, and a wearable device. Background Technology

[0002] Blood pressure is one of the important indicators for assessing human health. With people paying more attention to healthy living, simple and convenient blood pressure measurement has become a common need for users. At present, the technology of commonly used pneumatic blood pressure monitors is mature, but the measurement process is relatively cumbersome, requiring pressure on the user's limbs and causing discomfort. Moreover, pneumatic blood pressure monitors are not portable enough.

[0003] In related technologies, some solutions acquire ECG (Electrocardiogram) and pulse wave signals and use algorithms to assess the user's blood pressure. This method enables non-intrusive continuous monitoring and provides a good user experience, but it requires periodic data calibration using standard blood pressure values, a cumbersome process with low accuracy. Summary of the Invention

[0004] To improve the accuracy and convenience of blood pressure measurement, this specification provides a calibration method and apparatus, a blood pressure detection method and apparatus, a wearable device, a storage medium, and a computer program product.

[0005] In a first aspect, embodiments of this disclosure provide a calibration method for calibrating data of a wearable device, the wearable device including an inflatable blood pressure monitor, the method comprising:

[0006] The electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject to be tested are acquired, wherein the standard blood pressure value is acquired by the inflatable sphygmomanometer.

[0007] Based on the electrocardiogram signal and the pulse wave signal, determine the first time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in the same cardiac cycle;

[0008] Based on the first time difference and the standard blood pressure value, a target mapping relationship between the pulse wave transmission time and blood pressure value of the subject to be tested is determined, and the mapping relationship generated in the previous calibration cycle is updated based on the target mapping relationship.

[0009] In some implementations, acquiring the electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject includes:

[0010] In response to the detection of a blood pressure calibration command, the electrocardiogram signal of the subject to be tested is acquired by a first sensor on the wearable device, the pulse wave signal of the subject to be tested is acquired by a second sensor on the wearable device, and the standard blood pressure value is acquired by the inflatable blood pressure monitor.

[0011] In some embodiments, determining the first time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal within the same cardiac cycle, based on the electrocardiogram signal and the pulse wave signal, includes:

[0012] The electrocardiogram signal and the pulse wave signal are timestamped;

[0013] Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles;

[0014] The first time difference is determined based on the average time difference of multiple consecutive cardiac cycles.

[0015] In some implementations, determining the target mapping relationship between the pulse wave transit time and blood pressure value of the subject based on the first time difference and the standard blood pressure value includes:

[0016] Based on the first time difference and the standard blood pressure value, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship. The blood pressure assessment model is used to represent the correspondence between pulse wave transmission time and blood pressure value.

[0017] In some embodiments, the method further includes: acquiring preset physiological parameters of the subject to be tested, the preset physiological parameters including at least one of the following: age, gender, height, and weight;

[0018] The step of calibrating the preset blood pressure assessment model based on the first time difference and the standard blood pressure value to obtain the target mapping relationship includes:

[0019] Based on the first time difference, the standard blood pressure value, and the preset physiological parameters, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship.

[0020] Secondly, the embodiments of this specification provide a blood pressure detection method, including:

[0021] In response to a blood pressure monitoring command, the device collects electrocardiogram and pulse wave signals from the subject using sensors located on the wearable device.

[0022] The pulse wave transit time of the subject under test is determined based on the electrocardiogram signal and the pulse wave signal.

[0023] The target blood pressure value of the subject is determined based on the pulse wave transit time and the pre-generated target mapping relationship, wherein the target mapping relationship is obtained by the calibration method of any of the above embodiments.

[0024] In some implementations, determining the pulse wave transit time of the subject based on the electrocardiogram signal and the pulse wave signal includes:

[0025] The electrocardiogram signal and the pulse wave signal are timestamped;

[0026] Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles;

[0027] The pulse wave transmission time of the subject under test is determined based on the average time difference of multiple consecutive cardiac cycles.

[0028] In some embodiments, the method further includes obtaining preset physiological parameters of the subject to be tested, the preset physiological parameters including at least one of the following: age, gender, height, and weight;

[0029] Determining the target blood pressure value of the subject based on the pulse wave transit time and a pre-generated target mapping relationship includes:

[0030] The target blood pressure value of the subject is determined based on the pulse wave transmission time, the preset physiological parameters, and the pre-generated target mapping relationship.

[0031] In some embodiments, the method is performed by the wearable device, and the method further includes:

[0032] The target blood pressure value is displayed on the wearable device.

[0033] In some embodiments, the method is performed by the wearable device, and the method further includes:

[0034] The electrocardiogram signal, pulse wave signal, and target blood pressure value of the subject to be tested are sent to the terminal device, so that the terminal device generates and displays the test results based on the electrocardiogram signal, pulse wave signal, and target blood pressure value, wherein the terminal device is a device bound to the wearable device.

[0035] Thirdly, embodiments of this specification provide a wearable device, including:

[0036] A first sensor and a second sensor, wherein the first sensor is used to acquire the electrocardiogram signal of the subject under test, and the second sensor is used to acquire the pulse wave signal of the subject under test;

[0037] An inflatable sphygmomanometer, used to collect the blood pressure value of the subject being tested;

[0038] A processor and a memory, the memory storing computer instructions for causing the processor to perform the method according to any of the above embodiments.

[0039] In some embodiments, the wearable device is a wrist-worn device, which includes a main body and a wristband. The inflatable blood pressure monitor includes an air pump and an air bladder, with the air pump located in the main body and the air bladder located in the wristband.

[0040] Fourthly, embodiments of this specification provide a calibration device for calibrating data from a wearable device, the wearable device including an inflatable blood pressure monitor, and the device including a calibration module configured to:

[0041] The electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject to be tested are acquired, wherein the standard blood pressure value is acquired by the inflatable sphygmomanometer.

[0042] Based on the electrocardiogram signal and the pulse wave signal, determine the first time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in the same cardiac cycle;

[0043] Based on the first time difference and the standard blood pressure value, a target mapping relationship between the pulse wave transmission time and blood pressure value of the subject to be tested is determined, and the mapping relationship generated in the previous calibration cycle is updated based on the target mapping relationship.

[0044] In some implementations, the calibration module is configured as follows:

[0045] In response to the detection of a blood pressure calibration command, the electrocardiogram signal of the subject to be tested is acquired by a first sensor on the wearable device, the pulse wave signal of the subject to be tested is acquired by a second sensor on the wearable device, and the standard blood pressure value is acquired by the inflatable blood pressure monitor.

[0046] In some implementations, the calibration module is configured as follows:

[0047] The electrocardiogram signal and the pulse wave signal are timestamped;

[0048] Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles;

[0049] The first time difference is determined based on the average time difference of multiple consecutive cardiac cycles.

[0050] In some implementations, the calibration module is configured as follows:

[0051] Based on the first time difference and the standard blood pressure value, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship. The blood pressure assessment model is used to represent the correspondence between pulse wave transmission time and blood pressure value.

[0052] In some implementations, the calibration module is configured as follows:

[0053] Obtain preset physiological parameters of the subject to be tested, wherein the preset physiological parameters include at least one of the following: age, gender, height, and weight;

[0054] Based on the first time difference, the standard blood pressure value, and the preset physiological parameters, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship.

[0055] Fifthly, this specification provides a blood pressure detection device, which includes:

[0056] The data acquisition module is configured to collect electrocardiogram and pulse wave signals of the subject under test through sensors located on the wearable device in response to a blood pressure detection command.

[0057] The data processing module is configured to determine the pulse wave transit time of the subject under test based on the electrocardiogram signal and the pulse wave signal; and to determine the target blood pressure value of the subject under test based on the pulse wave transit time and a pre-generated target mapping relationship, wherein the target mapping relationship is obtained by the calibration method described in any of the above embodiments.

[0058] In some implementations, the data processing module is configured as follows:

[0059] The electrocardiogram signal and the pulse wave signal are timestamped;

[0060] Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles;

[0061] The pulse wave transmission time of the subject under test is determined based on the average time difference of multiple consecutive cardiac cycles.

[0062] In some implementations, the data processing module is configured as follows:

[0063] Obtain preset physiological parameters of the subject to be tested, wherein the preset physiological parameters include at least one of the following: age, gender, height, and weight;

[0064] The target blood pressure value of the subject is determined based on the pulse wave transmission time, the preset physiological parameters, and the pre-generated target mapping relationship.

[0065] In some implementations, the data processing module is configured as follows:

[0066] The target blood pressure value is displayed on the wearable device;

[0067] And / or,

[0068] The electrocardiogram signal, pulse wave signal, and target blood pressure value of the subject to be tested are sent to the terminal device, so that the terminal device generates and displays the test results based on the electrocardiogram signal, pulse wave signal, and target blood pressure value, wherein the terminal device is a device bound to the wearable device.

[0069] Sixthly, embodiments of this specification provide a storage medium storing computer instructions for implementing the methods described in any of the above embodiments.

[0070] In a seventh aspect, embodiments of this specification provide a computer program product for implementing the methods described in any of the above embodiments.

[0071] The calibration method described in this specification includes acquiring standard blood pressure values ​​using an inflatable blood pressure monitor from a wearable device, determining a first time difference based on the acquired electrocardiogram (ECG) and pulse wave signals, and using the first time difference and the standard blood pressure value to determine a target mapping relationship between pulse wave transmission time and blood pressure value. During data calibration, the blood pressure monitor from the wearable device can perform self-calibration without the need for additional equipment to acquire standard blood pressure values, making the data calibration process more convenient. Furthermore, during calibration, blood pressure, ECG, and pulse wave signals can be detected simultaneously, and different signals at the same time correspond to the same human condition, avoiding errors caused by time asynchrony, thus achieving higher calibration accuracy. Attached Figure Description

[0072] To more clearly illustrate the specific embodiments or technical solutions in the prior art of this specification, the accompanying drawings used in the description of the specific embodiments or prior art will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this specification. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0073] Figure 1 This is a structural schematic diagram of a wearable device in some embodiments of this specification.

[0074] Figure 2 This is a structural block diagram of a wearable device in some embodiments of this specification.

[0075] Figure 3 This is a flowchart of the calibration method in some embodiments of this specification.

[0076] Figure 4 This is a schematic diagram illustrating the principle of determining pulse wave transmission time in some embodiments of this specification.

[0077] Figure 5 This is a flowchart of the calibration method in some embodiments of this specification.

[0078] Figure 6 This is a flowchart of the calibration method in some embodiments of this specification.

[0079] Figure 7 This is a flowchart of a blood pressure detection method in some embodiments of this specification.

[0080] Figure 8 This is a structural block diagram of the blood pressure detection device in some embodiments of this specification. Detailed Implementation

[0081] The technical solutions of this disclosure will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure. Furthermore, the technical features involved in the different embodiments of this disclosure described below can be combined with each other as long as they do not conflict with each other.

[0082] Blood pressure is the lateral pressure exerted by blood on the walls of blood vessels as it flows through them. It is an important indicator of cardiovascular health. Clinically, blood pressure usually refers to the arterial blood pressure in the systemic circulation, including systolic and diastolic pressure. Normal blood pressure helps maintain blood supply to organs, while abnormal blood pressure may indicate a risk of cardiovascular disease.

[0083] Currently, the mainstream blood pressure measuring instrument in clinical practice is the pneumatic sphygmomanometer. The pneumatic sphygmomanometer uses a cuff to wrap around the upper arm of the human body. The cuff is inflated by an air pump to increase the pressure inside the cuff until the blood vessels are completely blocked. Then the cuff is gradually deflated. During this process, the sensor captures the sound of blood flow (Korotkoff sounds) or pressure changes to obtain the readings of systolic and diastolic blood pressure.

[0084] The measurement process of an inflatable blood pressure monitor is relatively cumbersome and requires a certain learning curve. Non-professional users may find it difficult to operate accurately; for example, incorrect cuff placement can lead to inaccurate measurements. Furthermore, inflatable blood pressure monitors require pressure to block arteries, causing discomfort such as vascular compression, resulting in a poor blood pressure measurement experience. Moreover, inflatable blood pressure monitors, consisting of at least the main unit and inflatable cuff, are relatively bulky and lack portability, making it difficult for users to measure their blood pressure anytime, anywhere.

[0085] Currently, with the technological development of smart wearable devices, wearable devices are increasingly capable of monitoring users' health. For example, some smartwatches can detect various human physiological parameters such as ECG (Electrocardiogram), pulse wave, blood sugar, and blood oxygen saturation.

[0086] In related technologies, some blood pressure measurement solutions can calculate a user's blood pressure value by collecting ECG and pulse wave signals and using algorithms. The basic principle is that pulse wave propagation is directly related to blood pressure; the higher the blood pressure, the faster the pulse wave propagates, and vice versa. Based on this, the pulse wave propagation time can be calculated using the peak difference between the ECG and pulse wave signals. By calibrating the mapping relationship between pulse wave propagation time and standard blood pressure values, the user's blood pressure value can be indirectly assessed using the pulse wave propagation time. This method eliminates the need for an air pump and cuff structure, making the detection process simple and convenient, and avoiding the pressure sensation of vascular occlusion. Users can use smartwatches to monitor their blood pressure anytime, anywhere.

[0087] However, during long-term use of the device, the historically calibrated blood pressure value mapping relationship will become distorted due to factors such as the user's physical condition and wearing habits. For example, as a user's height and age increase, their cardiovascular characteristics will also change significantly. If outdated mapping relationships are continued to be used to assess the user's blood pressure, the measurement results will be significantly distorted, rendering the device meaningless.

[0088] Therefore, related technologies require periodic data calibration of wearable devices. The specific calibration process is as follows: the user measures their current blood pressure using an inflatable blood pressure monitor or other blood pressure measuring device as a standard blood pressure value. This standard blood pressure value is then input into the wearable device. Simultaneously, the wearable device measures ECG and pulse wave signals to obtain the pulse wave transit time. The correspondence between the pulse wave transit time and the standard blood pressure value is then updated and calibrated. After calibration, the user only needs to collect ECG and pulse wave signals using the wearable device, and the algorithm can then assess a relatively accurate blood pressure value based on the pulse wave transit time.

[0089] To ensure the accuracy of blood pressure measurement, it is generally required to calibrate the device every 1 to 3 months. The calibration frequency is high and the steps are complicated. Moreover, improper operation by the user during the calibration process can introduce greater errors, rendering the blood pressure measurement meaningless.

[0090] For example, in one scenario, a user might not have an inflatable blood pressure monitor at home. To obtain a relatively accurate standard blood pressure value, the user might need to go to a community hospital to have their blood pressure measured, and then return home to calibrate their wearable device. In this scenario, because the user's blood pressure measurement and calibration occur at different times and are not collected simultaneously, the actual blood pressure at the time of calibration may deviate from the previously measured blood pressure due to factors such as the user's exercise and diet, resulting in a relatively large error in the data calibration.

[0091] Based on this, the embodiments of this specification provide a wearable device and a blood pressure detection method and data calibration method based on the wearable device, aiming to improve the data accuracy and convenience of blood pressure detection and calibration, thereby improving the user experience.

[0092] In the embodiments described in this specification, the wearable device can be any suitable type of device, such as a watch, wristband, arm / leg wear device, etc. It is understood that the wearable device in this specification is primarily used for human blood pressure monitoring; therefore, any device suitable for wearing on a blood vessel can adopt the solution described in this specification, and this specification does not impose any limitations on it.

[0093] For example, in one example, wearable devices are wrist-worn devices, which include, but are not limited to, watches, bracelets, and other similar devices. Figure 1 and Figure 2 This specification shows structural schematic diagrams of wrist-worn devices according to some embodiments. The following is a description in conjunction with... Figure 1 and Figure 2 Please provide an explanation.

[0094] See Figure 1 and Figure 2 As shown, in this example, the wrist-worn device includes a main body 100 and a wristband 200. The main body 100 refers to the structure of the wrist-worn device that carries the main electronic components; for example, in a watch, the main body 100 is the watch face. The wristband 200 refers to the strap structure used to wear the main body 100 on the human body; for example, in a watch, the wristband 200 is used to secure the main body 100 to the wrist. The connection method and material of the wristband 200 are diverse; for example, the wristband 200 can be made of materials such as metal, plastic, fabric, or leather, and the connection method can be such as magnetic attraction or a buckle; this specification does not limit this.

[0095] In this embodiment of the specification, the main body 100 is provided with a processor 601 and a memory 602. The wrist-worn device also includes a blood pressure monitor 604, an ECG module 605, a pulse wave module 606, a display screen 300, a communication module 607, a power management module 608, and a battery 609. These modules or devices can be connected to each other via a bus 603.

[0096] The processor 601 can be any type of processor with one or more processing cores. It can execute single-threaded or multi-threaded operations, used for parsing instructions to perform operations such as data acquisition, logical operations, and outputting processing results.

[0097] The memory 602 may include a non-volatile computer-readable storage medium, such as at least one disk storage device, flash memory device, etc. The memory 602 may have a program storage area for storing non-volatile software programs, non-volatile computer-executable programs, and modules, which can be invoked by the processor 601 to cause the processor 601 to execute one or more of the method steps described below. The memory 602 may also include a volatile random access storage medium, or a storage portion such as a hard disk, as a data storage area for storing the processing results and data output by the processor 601.

[0098] The blood pressure monitor 604 is a functional module installed in the wrist-worn device for blood pressure detection. In the embodiments described in this specification, the blood pressure monitor 604 is an inflatable blood pressure monitor, which allows for direct measurement of the user's blood pressure.

[0099] exist Figure 1 In this example, the blood pressure monitor 604 includes an air pump 130 and an air bladder 210. The air pump 130 is located inside the main body 100, and the air bladder 210 is located on the wristband 200. When the user wears the wristband device, the air pump 130 inflates the air bladder 210, which compresses the blood vessels in the user's arm and achieves blood pressure measurement by blocking the blood vessels. Those skilled in the art can undoubtedly understand and fully implement the relevant components and working principle of the inflatable blood pressure monitor 604 by referring to relevant technologies, and this specification will not elaborate further.

[0100] ECG module 605 refers to a functional module used to acquire human electrocardiogram signals, for example... Figure 1In the example, the ECG module 605 includes a first electrode 111 located on the back of the main body 100 and a second electrode 112 located on the front of the main body 100. It can be understood that the first electrode 111 and the second electrode 112 can form a single-lead ECG detection system. During ECG detection, the first electrode 111 located on the back of the main body 100 directly contacts the wearing hand, and the user can place the fingers of the non-wearing hand on the second electrode 112. Thus, the second electrode 112 located on the front of the main body 100 directly contacts the non-wearing hand, forming a single-lead detection system to achieve ECG electrocardiogram detection for the user.

[0101] It is understood that the ECG module 605 needs to include at least two electrodes. Of course, if the device size and cost allow, more electrodes can be set on the wrist-worn device. For example, a third electrode or a fourth electrode can be set on the side, so as to form an ECG system with more leads. Those skilled in the art will understand this, and this specification will not elaborate further.

[0102] The pulse wave module 606 refers to a functional module used to detect the user's pulse wave signal. Commonly used pulse wave modules 606 include PPG (Photo Plethysmo Graphy) modules or pressure-type pulse wave detection modules. The two use different detection principles to achieve pulse wave detection. The specific type of pulse wave module 606 is not limited in the embodiments of this specification.

[0103] For example Figure 1 In this example, the pulse wave module 606 is a pressure-type pulse wave module, which includes a pressure sensor 120. The pressure sensor 120 can be disposed on the back of the main body 100, so that when the user wears the wrist-worn device, the pressure sensor 120 directly contacts the skin of the wrist to achieve pulse wave detection. Of course, in other embodiments, PPG pulse wave detection can also be used, with the PPG sensor disposed on the back of the main body 100, utilizing the photoplethysmography principle to achieve user pulse wave detection, which will not be elaborated upon in this specification.

[0104] The display screen 300 can be disposed on the front of the main body 100. The display screen 300 can provide information display and user interaction functions, and the user can operate the wrist-worn device through the display screen 300. In the embodiments of this specification, the display screen 300 can be any type of screen, including but not limited to LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), Mini LED, etc., and this specification does not impose any limitations on it.

[0105] Communication module 607 refers to a functional module used by the wrist-worn device to establish a communication connection with other devices. For example, in some implementations, the wrist-worn device usually needs to establish a wireless communication connection with a mobile terminal (such as a mobile phone, tablet, etc.), so communication module 607 can be a wireless communication module, such as WiFi, Bluetooth, UWB (Ultra Wide Band), NFC (Near Field Communication) modules, etc.

[0106] In one example scenario, a wrist-worn device can establish a binding connection with a mobile terminal, so that data collected by the wrist-worn device can be sent to the mobile terminal, and data processed by the mobile terminal can also be returned to the wrist-worn device.

[0107] Of course, if necessary, the communication module 607 may also include a wired communication module. For example, the wired communication module may include a wired connection module with the USB protocol, and the wrist-worn device can establish a wired communication connection with other devices through a USB connection cable.

[0108] The power management module 608 is used to manage the system power supply of the wrist-worn device and the related functions of the battery 609. The battery 609 is a rechargeable battery that can be charged and discharged repeatedly, so that the battery 609 can provide power to the wrist-worn device.

[0109] It is understood that, in addition to the functional modules mentioned above, the wrist-worn device may include other components such as circuit boards, vibration motors, speakers, microphones, buttons, etc., which will not be described in detail in this manual.

[0110] The structure of the wearable device according to the embodiments of this specification has been described above. The calibration method and blood pressure detection method according to the embodiments of this specification will be described below in conjunction with the aforementioned wearable device.

[0111] First, it should be noted that although the wearable device in the embodiments of this specification is equipped with an inflatable blood pressure monitor 604, the main function of the blood pressure monitor 604 is not to continuously detect the user's blood pressure, but to provide a relatively accurate blood pressure value as a standard blood pressure value during the calibration process, so as to calibrate the blood pressure estimation algorithm.

[0112] In other words, the wearable device described in this specification can be divided into a calibration phase and a detection phase for blood pressure detection. The inflatable blood pressure monitor 604 only works in the calibration phase. In the actual detection phase after calibration, the blood pressure value is estimated by using the ECG signal and pulse wave signal collected by the ECG module and pulse wave module.

[0113] The reasons for this are as follows: Firstly, using the pneumatic blood pressure monitor 604 for continuous blood pressure measurement requires a significant power source to drive the air pump 130, severely reducing the wearable device's battery life and affecting its normal operation. Secondly, the pneumatic blood pressure monitor 604 requires blocking blood vessels for measurement, causing discomfort due to vascular compression and resulting in a poor user experience. Furthermore, the pneumatic blood pressure monitor 604 only measures blood pressure; if the user requires more comprehensive physiological monitoring such as electrocardiogram, heart rate, and blood pressure, multiple measurements are required.

[0114] Based on this, in the embodiments described in this specification, ECG and pulse wave are used to estimate the user's blood pressure value during blood pressure detection. This enables continuous blood pressure detection without the user's awareness, resulting in a better user experience, lower power consumption, and increased device battery life. Furthermore, as ECG and pulse wave signals are necessary parameters for blood pressure measurement, related physiological parameters of the electrocardiogram and pulse wave can be obtained simultaneously during blood pressure measurement, eliminating the need for multiple user operations, resulting in more comprehensive test results and a more convenient testing process.

[0115] However, considering the aforementioned factors, estimating blood pressure using ECG and pulse waves requires periodic data calibration using standard blood pressure values ​​to ensure accuracy. Therefore, during data calibration, an inflatable blood pressure monitor 604 can be used to collect standard blood pressure values. In other words, the inflatable blood pressure monitor 604 only needs to operate once per calibration cycle. For example, if the time interval between two adjacent calibration cycles is one month, then the blood pressure monitor 604 only needs to be activated once a month to complete the calibration. The impact on the device's battery life is minimal and almost imperceptible to the user.

[0116] More importantly, since the 604 blood pressure monitor is integrated into the wearable device, signals such as blood pressure, ECG, and pulse wave can be detected simultaneously during the calibration process. Different signals at the same time correspond to the same human condition, avoiding errors caused by time asynchrony, thus achieving higher calibration accuracy.

[0117] Based on the above understanding, the specific processes of the calibration method in the calibration phase and the blood pressure detection method in the detection phase will be explained below.

[0118] In some embodiments, this specification provides a calibration method that can be used to calibrate the data of the wearable device described above.

[0119] It is worth noting that the calibration method described in this specification can be performed by a wearable device, or it can simply involve the wearable device collecting data, uploading the data to a terminal device it is bound to, and then having the terminal device perform the processing. In the following embodiments, unless otherwise specified, the execution subject of some method steps can be either a wearable device or a terminal device, and this specification does not impose any restrictions on this.

[0120] like Figure 3 As shown, in some embodiments, the calibration method exemplified in this specification includes:

[0121] S310: Acquire the electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject to be tested.

[0122] In the embodiments described in this specification, the object to be tested refers to the object wearing the wearable device, which can be a human body or an animal if necessary. This specification will use the human body as an example for explanation.

[0123] Combination Figure 1 As shown, after wearing the wearable device, the user can activate the wearable device's physiological monitoring function through the wearable device itself or a terminal device paired with it. For example, in one example, the user can trigger a blood pressure calibration command to start the data calibration process through the wearable device's display screen 300.

[0124] It's worth noting that users can also preset the data calibration time. The wearable device will then automatically trigger the data calibration process when the preset calibration time is reached, triggered by a timer. For example, in one scenario, the user presets data calibration to be performed at 10:30 AM on the 1st of each month. The wearable device will then automatically trigger the data calibration process when the time is reached.

[0125] After initiating data calibration, data collection is required first. In this embodiment of the manual, at least the electrocardiogram signal, pulse wave signal, and standard blood pressure value B0 of the subject to be tested need to be collected.

[0126] In some implementations, an electrocardiogram signal can be acquired by a first sensor on the wearable device, a pulse wave signal can be acquired by a second sensor on the wearable device, and a standard blood pressure value B0 can be acquired by an inflatable blood pressure monitor on the wearable device.

[0127] For example Figure 1In this example, the first sensor includes a first electrode 111 and a second electrode 112. Before calibration begins, the display screen 300 prompts the user to securely wear the wearable device and place the non-wearing hand (or finger) on the second electrode 112. This forms a single-lead ECG detection system between the first electrode 111 and the second electrode 112, enabling ECG detection of the subject and obtaining an ECG signal. The second sensor includes a pressure sensor 120 (or a PPG sensor). During ECG detection, the pressure sensor 120 can be activated synchronously to detect the pulse wave of the subject and obtain a pulse wave signal. Simultaneously, the inflatable blood pressure monitor 604 operates synchronously. The air pump 130 inflates the air bladder 210 on the wristband 200, and the blood pressure value is acquired by occluding blood vessels in the subject. This blood pressure value is the standard blood pressure value B0.

[0128] S320. Based on the electrocardiogram signal and the pulse wave signal, determine the first time difference between the peak value of the R wave in the electrocardiogram signal and the peak value of the pulse wave signal during the same cardiac cycle.

[0129] For example, in one example, Figure 4 The waveforms of the acquired electrocardiogram and pulse wave signals are shown. Figure 4 In the example, the horizontal axis represents time, and the vertical axis represents the amplitude of the waveform.

[0130] See Figure 4 As shown, the various waveforms on an electrocardiogram (ECG) signal represent the potential changes in different parts of the heart during excitation and planning processes. The ECG signal mainly includes the P wave, QRS complex, and T wave. The P wave represents atrial depolarization, marking the beginning of atrial contraction and pumping blood into the ventricles. The PR interval represents the process of excitation propagating through the atrioventricular node to the ventricles after atrial depolarization. The QRS complex is a complex wave representing ventricular depolarization, where the Q wave represents excitation from the atria to the ventricles, the R wave represents the main depolarization of the ventricular myocardium, and the S wave represents the continuation of depolarization. The ST interval represents a period of relatively stable potential in the ventricular myocardial cells after depolarization and before repolarization begins. The T wave represents ventricular repolarization, the process of the ventricular myocardium returning from an excited state to a resting state. The QT interval represents the time required for the entire process of ventricular depolarization and repolarization. As can be seen from the waveform diagram of the electrocardiogram signal, since the peak value of the R wave is easy to detect, the interval between two adjacent R wave peak values ​​(i.e., one RR interval) is generally defined in clinical practice as a cardiac cycle, also called an electrocardiogram cycle.

[0131] The pulse wave signal can be divided into an ascending limb and a descending limb. The ascending limb refers to the portion of the waveform that rises from the trough to the peak. It reflects the rapid ejection phase of the ventricle. When the ventricle contracts, it rapidly pumps blood into the aorta, causing the pressure within the artery to rise rapidly, forming the ascending limb of the pulse wave. The descending limb refers to the portion of the pulse wave that falls from the peak to the next trough. It reflects the diastolic phase of the ventricle. When the ventricle stops pumping blood, the pressure within the aorta begins to decrease, and simultaneously, due to the elastic recoil of the artery, it propels blood to continue flowing forward, forming the descending limb of the pulse wave.

[0132] It is worth noting that the time difference between the peak value of the R wave in an electrocardiogram (ECG) signal and the peak value of the pulse wave is the pulse wave transmission time. Pulse wave transmission is directly related to blood pressure. When blood pressure is high, the pulse wave travels faster, resulting in a shorter pulse wave transmission time within a cardiac cycle. Conversely, when blood pressure is low, the pulse wave travels slower, resulting in a longer pulse wave transmission time within a cardiac cycle.

[0133] Therefore, in this embodiment of the specification, after acquiring the electrocardiogram (ECG) signal and the pulse wave signal, the first time difference between the peak value of the R wave in the ECG signal and the peak value of the pulse wave signal can be calculated. This first time difference represents the pulse wave transmission time of the subject under test. For example... Figure 4 In one cardiac cycle of the example, the first time difference ΔT0 between the peak F of the pulse wave signal and the peak R of the electrocardiogram signal represents the pulse wave transmission time ΔT0.

[0134] In some implementations, the first time difference ΔT0 can be calculated using the peak value of the R wave and the peak value of the pulse wave signal in any cardiac cycle. Alternatively, to further improve detection accuracy, the time differences of multiple consecutive cardiac cycles can be detected, and then the average value can be calculated to obtain the first time difference ΔT0. The following section will discuss this further. Figure 5 Please provide an explanation.

[0135] like Figure 5 As shown, in some embodiments, the calibration method exemplified in this specification includes the following process for determining the first time difference ΔT0:

[0136] S321. Timestamp alignment is performed on the electrocardiogram signal and the pulse wave signal.

[0137] As mentioned above, both electrocardiogram (ECG) signals and pulse wave signals are waveform signals that change periodically over time. Furthermore, in the embodiments described in this specification, since the ECG and pulse wave signals are acquired synchronously, their timestamps correspond perfectly. Therefore, the timestamps can be aligned based on the acquired ECG and pulse wave signals to obtain, for example... Figure 4 Example time synchronization waveform diagram.

[0138] S322. Obtain the time difference between the peak value of the R wave and the peak value of the pulse wave signal of the electrocardiogram signal for multiple consecutive cardiac cycles.

[0139] Combination Figure 4 As shown, taking one cardiac cycle as an example, the first time point T1 corresponding to the peak value F of the pulse wave signal is detected, and then the second time point T2 corresponding to the peak value R wave in the electrocardiogram signal is detected. Thus, the time difference in this cardiac cycle is expressed as ΔT = T2 - T1. The above example of one cardiac cycle illustrates the process of calculating the time difference. Using the above method, the time difference of n consecutive cardiac cycles can be calculated, where n is an integer greater than 2.

[0140] S323. Determine the first time difference based on the average time difference of multiple consecutive cardiac cycles.

[0141] In the embodiments described in this specification, after calculating the time difference of n consecutive cardiac cycles, the average value of these n time differences is calculated and determined as the pulse wave transmission time of the subject to be tested, which is also known as the first time difference ΔT0.

[0142] S330. Based on the first time difference and the standard blood pressure value, determine the target mapping relationship between the pulse wave transmission time and blood pressure value of the subject to be tested.

[0143] As mentioned above, there is a correlation between the user's pulse wave transmission time and blood pressure value. Therefore, after obtaining the first time difference ΔT0 and the standard blood pressure value B0, the mapping relationship between the pulse wave transmission time and blood pressure value can be calibrated using the first time difference ΔT0 and the standard blood pressure value B0.

[0144] For example, in some implementations, the correspondence between the human pulse wave transit time and blood pressure value can be represented by a blood pressure assessment model. The variables of the blood pressure assessment model are the pulse wave transit time and the blood pressure value. Therefore, the model parameters of the blood pressure assessment model can be calibrated using the first time difference ΔT0 and the standard blood pressure value B0, as shown below:

[0145] B0=M(ΔT0) (1)

[0146] In formula (1), ΔT0 represents the first time difference, i.e., the pulse wave transit time of the test subject, B0 represents the standard blood pressure value, and M() is the functional expression of the blood pressure assessment model. Therefore, the model parameters of the blood pressure assessment model can be calibrated and updated using the first time difference ΔT0 and the standard blood pressure value B0, resulting in the updated blood pressure assessment model. This blood pressure assessment model represents the target mapping relationship between pulse wave transit time and blood pressure value as described in this specification, expressed as:

[0147] B=M′(ΔT) (2)

[0148] S340. Update the mapping relationship generated in the previous calibration cycle based on the target mapping relationship.

[0149] In the embodiments described in this specification, after generating the target mapping relationship for the current calibration period, the historically stored mapping relationship can be replaced and updated.

[0150] For example, in some implementations, when S310 to S340 are executed by a wearable device, the wearable device can replace and update the previously calibrated mapping relationship stored locally based on the newly calibrated target mapping relationship. Simultaneously, the wearable device can send the target mapping relationship to its bound terminal device, which also replaces and updates the previously calibrated mapping relationship stored locally.

[0151] When S310 to S340 are executed by a terminal device bound to the wearable device, the terminal device can replace and update the previously calibrated mapping relationship stored locally based on the newly calibrated target mapping relationship. Simultaneously, the terminal device can send the target mapping relationship to the bound wearable device, which also replaces and updates the previously calibrated mapping relationship stored locally.

[0152] Through the above method, a data calibration process for wearable devices can be completed, resulting in a more accurate target mapping relationship. This target mapping relationship can reflect the correspondence between the pulse wave transmission time and blood pressure value of the latest test subject.

[0153] As can be seen from the above, in the embodiments of this specification, the blood pressure monitor using a wearable device can achieve data self-calibration without the need for additional equipment to obtain standard blood pressure values. The data calibration process is more convenient to operate. Moreover, during the calibration process, signals such as blood pressure, ECG, and pulse wave can be detected simultaneously. Different signals at the same time correspond to the same human condition, avoiding errors caused by time asynchrony, thus achieving higher calibration accuracy.

[0154] In the above implementation, the target mapping relationship between the pulse wave transit time and blood pressure value of the test subject only considers the pulse wave transit time. To further improve the accuracy of the target mapping relationship, the user's basic physiological parameters can be introduced as variables into the blood pressure assessment model, thereby further optimizing the blood pressure assessment effect by combining the user's basic physiological parameters. The following section will discuss this further. Figure 6 Please provide an explanation.

[0155] See Figure 6 As shown, in some embodiments, the calibration method exemplified in this specification includes:

[0156] S610. Obtain the preset physiological parameters of the subject to be tested.

[0157] S620. Based on the first time difference, standard blood pressure value, and preset physiological parameters, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship.

[0158] In the embodiments described in this specification, the preset physiological parameters of the subject to be tested include, but are not limited to, age, gender, height, and weight.

[0159] In some implementations, before calibration is initiated, the wearable device may prompt the user to input any one or more of the aforementioned preset physiological parameters. The subject can input these parameters through the wearable device or through a terminal device bound to the wearable device; this specification does not impose any restrictions on this.

[0160] For example, in one instance, the preset physiological parameters include height and weight. Users can input their height and weight values ​​on the wearable device, and the wearable device can then obtain the preset physiological parameters of the subject being tested.

[0161] In the example of this specification, in addition to pulse wave transit time and blood pressure value, the variables of the blood pressure assessment model may further include the aforementioned preset physiological parameters. This allows the model parameters of the blood pressure assessment model to be calibrated using the first time difference ΔT0, the standard blood pressure value B0, and the preset physiological parameters of the subject, as shown below:

[0162] B0=M(ΔT0,K0) (3)

[0163] In formula (3), K0 represents the preset physiological parameters of the subject, such as height and weight. The model parameters of the blood pressure assessment model can be calibrated and updated using the first time difference ΔT0, the standard blood pressure value B0, and the preset physiological parameter K0, resulting in the updated blood pressure assessment model. This blood pressure assessment model represents the target mapping relationship between pulse wave transit time and blood pressure value as described in this specification, expressed as:

[0164] B=M′(ΔT,K) (4)

[0165] Similar to the aforementioned implementation method, after obtaining the target mapping relationship as shown in formula (4), the target mapping relationship can be used to replace and update the mapping relationship of the historical calibration cycle stored in the wearable device and / or terminal device to complete a data calibration process.

[0166] As can be seen from the above, in the embodiments of this specification, the mapping relationship between pulse wave transmission time and blood pressure value is optimized by combining the basic physiological parameters of the subject under test, thereby further improving the accuracy and data precision of blood pressure assessment.

[0167] After completing the above calibration process, blood pressure can be measured using the wearable device used in the calibration process, i.e., the measurement phase begins. In some embodiments, this specification provides a blood pressure measurement method that can be used in the aforementioned wearable device to measure the blood pressure of the subject wearing the wearable device.

[0168] It is worth noting that the blood pressure detection method described in this specification can be performed by a wearable device, or it can simply be that the wearable device collects the data, uploads the data to a terminal device bound to it, and then performs the processing on the terminal device. In the following embodiments, unless otherwise specified, the execution subject of some method steps can be either performed by a wearable device or a terminal device, and this specification does not impose any restrictions on this.

[0169] like Figure 7 As shown, in some embodiments, the blood pressure detection method exemplified in this specification includes:

[0170] S710, in response to a blood pressure detection command, acquires electrocardiogram and pulse wave signals of the subject through sensors located on the wearable device.

[0171] In the implementation method described in this manual, the blood pressure detection command refers to the user command used to trigger the blood pressure detection process. In one example, combined with… Figure 1 As shown, a user can trigger the blood pressure detection process through the wearable device's display screen 300, allowing the wearable device to receive the blood pressure detection command. In another example, a user can trigger the blood pressure detection process through a terminal device paired with the wearable device, which then sends the blood pressure detection command to the wearable device, allowing the wearable device to receive the command.

[0172] When a wearable device receives a blood pressure monitoring command, it can use the relevant sensors installed on the wearable device to collect the electrocardiogram (ECG) signal and pulse wave signal of the subject. For example... Figure 1 In the example, the wearable device can display a screen 300 prompting the user to wear the device securely and place the non-wearing hand (or finger) on the second electrode 112. This forms a single-lead ECG detection system between the first electrode 111 and the second electrode 112, enabling ECG detection of the subject and obtaining an ECG signal. Simultaneously, the pressure sensor 120 can be activated to detect the pulse wave of the subject and obtain a pulse wave signal.

[0173] S720. Determine the pulse wave transmission time of the subject based on the electrocardiogram signal and pulse wave signal.

[0174] As mentioned above, the time difference between the peak value of the R wave in the electrocardiogram (ECG) signal and the peak value of the pulse wave is the pulse wave transmission time. Pulse wave transmission is directly related to blood pressure; higher blood pressure results in a faster pulse wave transmission speed, thus a shorter pulse wave transmission time per cardiac cycle. Conversely, lower blood pressure results in a slower pulse wave transmission speed, thus a longer pulse wave transmission time per cardiac cycle. Therefore, in the embodiments of this specification, after acquiring the ECG signal and pulse wave signal, the time difference between the peak value of the R wave in the ECG signal and the peak value of the pulse wave signal can be calculated. This time difference represents the pulse wave transmission time of the subject.

[0175] Similar to the aforementioned calibration phase, since the electrocardiogram (ECG) signal and pulse wave signal are acquired synchronously, their timestamps correspond perfectly. Therefore, timestamp alignment can be performed based on the acquired ECG and pulse wave signals to obtain, for example... Figure 4 The example shows a waveform diagram for time synchronization. Taking one cardiac cycle as an example, the first moment corresponding to the peak value F of the pulse wave signal is detected, and then the second moment corresponding to the peak value R wave in the electrocardiogram signal is detected. The difference between the first moment and the second moment is the pulse wave transit time in that cardiac cycle. The above describes the process of calculating the pulse wave transit time using one cardiac cycle as an example. The pulse wave transit time for n consecutive cardiac cycles can be calculated using this method, where n is an integer greater than 2. After calculating the pulse wave transit time for n consecutive cardiac cycles, the average value of these n pulse wave transit times is calculated and determined as the pulse wave transit time ΔT of the subject being tested.

[0176] S730 determines the target blood pressure value of the subject based on pulse wave transmission time and pre-generated target mapping relationship.

[0177] As can be seen from the foregoing in the embodiments described in this specification, the wearable device and / or terminal device stores the target mapping relationship obtained during the calibration phase, which represents the correspondence between the pulse wave transmission time and blood pressure value of the object to be tested.

[0178] For example, in one example, the target mapping relationship can be as shown in the aforementioned formula (2). After calculating the pulse wave transmission time ΔT of the test object through S720, the pulse wave transmission time ΔT is substituted into the target mapping relationship in formula (2) to obtain the target blood pressure value B corresponding to the test object, thereby realizing the detection of blood pressure value.

[0179] In some implementations, to further improve the accuracy of blood pressure detection, the variables in the target mapping relationship may also include the basic physiological parameters of the subject being measured.

[0180] For example, in one example, the target mapping relationship can be as shown in the aforementioned formula (4). During the blood pressure detection process, the wearable device can prompt the user to input one or more preset physiological parameters K, such as age, gender, height, and weight. The subject can input these parameters through the wearable device or through a terminal device bound to the wearable device. This specification does not impose any restrictions on this. Thus, after calculating the pulse wave transmission time ΔT of the subject through S720, the pulse wave transmission time ΔT and the preset physiological parameter K can be substituted into the target mapping relationship in formula (4) to obtain the target blood pressure value B corresponding to the subject, thereby realizing the detection of the blood pressure value.

[0181] In some implementations, after obtaining the target blood pressure value, the wearable device can display the target blood pressure value B on the display screen 300. Alternatively, other physiological parameters such as electrocardiogram signals, pulse wave signals, and heart rate can also be displayed, which will not be elaborated upon in this specification.

[0182] In other implementations, the wearable device can send the target blood pressure value, electrocardiogram signal, and pulse wave signal to the terminal device via the communication module. The terminal device then processes the data to obtain the test results for the subject. The test results can be displayed on the terminal device in the form of a report, allowing the user to view more detailed test results through the terminal device.

[0183] As can be seen from the above, in the embodiments of this specification, wearable devices are used to achieve non-intrusive detection of the user's blood pressure. Compared with inflatable blood pressure monitors, they consume less power, improve the device's battery life, and do not require compression of blood vessels, resulting in a better user experience. In addition, the detection results are more comprehensive and the detection process is more convenient.

[0184] In some embodiments, this specification provides a calibration apparatus that can be used to perform data calibration on the wearable device described above. See also Figure 8 As shown, the calibration apparatus exemplified in this specification includes a calibration module 10, which is configured to:

[0185] The electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject to be tested are acquired, wherein the standard blood pressure value is acquired by the inflatable sphygmomanometer.

[0186] Based on the electrocardiogram signal and the pulse wave signal, determine the first time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in the same cardiac cycle;

[0187] Based on the first time difference and the standard blood pressure value, a target mapping relationship between the pulse wave transmission time and blood pressure value of the subject to be tested is determined, and the mapping relationship generated in the previous calibration cycle is updated based on the target mapping relationship.

[0188] In some implementations, the calibration module 10 is configured to:

[0189] In response to the detection of a blood pressure calibration command, the electrocardiogram signal of the subject to be tested is acquired by a first sensor on the wearable device, the pulse wave signal of the subject to be tested is acquired by a second sensor on the wearable device, and the standard blood pressure value is acquired by the inflatable blood pressure monitor.

[0190] In some implementations, the calibration module 10 is configured to:

[0191] The electrocardiogram signal and the pulse wave signal are timestamped and aligned.

[0192] Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles;

[0193] The first time difference is determined based on the average time difference of multiple consecutive cardiac cycles.

[0194] In some implementations, the calibration module 10 is configured to:

[0195] Based on the first time difference and the standard blood pressure value, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship. The blood pressure assessment model is used to represent the correspondence between pulse wave transmission time and blood pressure value.

[0196] In some implementations, the calibration module 10 is configured to:

[0197] Obtain preset physiological parameters of the subject to be tested, wherein the preset physiological parameters include at least one of the following: age, gender, height, and weight;

[0198] Based on the first time difference, the standard blood pressure value, and the preset physiological parameters, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship.

[0199] In some embodiments, this specification provides a blood pressure detection device that can be used in the aforementioned wearable device to detect the blood pressure of a subject wearing the wearable device. For example... Figure 7 As shown, the blood pressure monitoring device exemplified in this instruction manual includes:

[0200] The data acquisition module 20 is configured to acquire electrocardiogram and pulse wave signals of the subject under test through sensors located on the wearable device in response to a blood pressure detection command.

[0201] The data processing module 30 is configured to determine the pulse wave transit time of the subject under test based on the electrocardiogram signal and the pulse wave signal; and to determine the target blood pressure value of the subject under test based on the pulse wave transit time and a pre-generated target mapping relationship, wherein the target mapping relationship is obtained by the calibration method described in any of the above embodiments.

[0202] In some implementations, the data processing module 30 is configured to:

[0203] The electrocardiogram signal and the pulse wave signal are timestamped and aligned.

[0204] Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles;

[0205] The pulse wave transmission time of the subject under test is determined based on the average time difference of multiple consecutive cardiac cycles.

[0206] In some implementations, the data processing module 30 is configured to:

[0207] Obtain preset physiological parameters of the subject to be tested, wherein the preset physiological parameters include at least one of the following: age, gender, height, and weight;

[0208] The target blood pressure value of the subject is determined based on the pulse wave transmission time, the preset physiological parameters, and the pre-generated target mapping relationship.

[0209] In some implementations, the data processing module 30 is configured to:

[0210] The target blood pressure value is displayed on the wearable device;

[0211] And / or,

[0212] The electrocardiogram signal, pulse wave signal, and target blood pressure value of the subject to be tested are sent to the terminal device, so that the terminal device generates and displays the test results based on the electrocardiogram signal, pulse wave signal, and target blood pressure value, wherein the terminal device is a device bound to the wearable device.

[0213] In some embodiments, this specification provides a storage medium storing computer instructions for implementing the methods described in any of the above embodiments.

[0214] In some embodiments, this specification provides a computer program product for implementing the methods described in any of the above embodiments.

[0215] Obviously, the above embodiments are merely examples for clear illustration and are not intended to limit the embodiments. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all embodiments here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this disclosure.

Claims

1. A calibration method, characterized in that, For calibrating data of a wearable device, including an inflatable blood pressure monitor, the method includes: The electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject to be tested are acquired, wherein the standard blood pressure value is acquired by the inflatable sphygmomanometer. Based on the electrocardiogram signal and the pulse wave signal, determine the first time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in the same cardiac cycle; Based on the first time difference and the standard blood pressure value, a target mapping relationship between the pulse wave transmission time and blood pressure value of the subject to be tested is determined, and the mapping relationship generated in the previous calibration cycle is updated based on the target mapping relationship.

2. The method according to claim 1, characterized in that, Acquire the electrocardiogram (ECG) signal, pulse wave signal, and standard blood pressure value of the subject, including: In response to the detection of a blood pressure calibration command, the electrocardiogram signal of the subject to be tested is acquired by a first sensor on the wearable device, the pulse wave signal of the subject to be tested is acquired by a second sensor on the wearable device, and the standard blood pressure value is acquired by the inflatable blood pressure monitor.

3. The method according to claim 2, characterized in that, Determining the first time difference between the peak value of the R wave in the electrocardiogram signal and the peak value of the pulse wave signal within the same cardiac cycle, based on the electrocardiogram signal and the pulse wave signal, includes: The electrocardiogram signal and the pulse wave signal are timestamped; Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles; The first time difference is determined based on the average time difference of multiple consecutive cardiac cycles.

4. The method according to claim 1, characterized in that, Based on the first time difference and the standard blood pressure value, determine the target mapping relationship between the pulse wave transit time and blood pressure value of the subject, including: Based on the first time difference and the standard blood pressure value, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship. The blood pressure assessment model is used to represent the correspondence between pulse wave transmission time and blood pressure value.

5. The method according to claim 4, characterized in that, Also includes: Obtain preset physiological parameters of the subject to be tested, wherein the preset physiological parameters include at least one of the following: age, gender, height, and weight; The step of calibrating the preset blood pressure assessment model based on the first time difference and the standard blood pressure value to obtain the target mapping relationship includes: Based on the first time difference, the standard blood pressure value, and the preset physiological parameters, the preset blood pressure assessment model is calibrated to obtain the target mapping relationship.

6. A method for detecting blood pressure, characterized in that, include: In response to a blood pressure monitoring command, the device collects electrocardiogram and pulse wave signals from the subject using sensors located on the wearable device. The pulse wave transit time of the subject under test is determined based on the electrocardiogram signal and the pulse wave signal. The target blood pressure value of the subject is determined based on the pulse wave transmission time and the pre-generated target mapping relationship, wherein the target mapping relationship is obtained by the method described in any one of claims 1 to 5.

7. The method according to claim 6, characterized in that, Determining the pulse wave transit time of the subject based on the electrocardiogram signal and the pulse wave signal includes: The electrocardiogram signal and the pulse wave signal are timestamped; Obtain the time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in multiple consecutive cardiac cycles; The pulse wave transmission time of the subject under test is determined based on the average time difference of multiple consecutive cardiac cycles.

8. The method according to claim 6, characterized in that, Also includes: Obtain preset physiological parameters of the subject to be tested, wherein the preset physiological parameters include at least one of the following: age, gender, height, and weight; Determining the target blood pressure value of the subject based on the pulse wave transit time and a pre-generated target mapping relationship includes: The target blood pressure value of the subject is determined based on the pulse wave transmission time, the preset physiological parameters, and the pre-generated target mapping relationship.

9. The method according to any one of claims 6 to 8, characterized in that, The method is performed by the wearable device, and the method further includes: The target blood pressure value is displayed on the wearable device; And / or, The electrocardiogram signal, pulse wave signal, and target blood pressure value of the subject to be tested are sent to the terminal device, so that the terminal device generates and displays the test results based on the electrocardiogram signal, pulse wave signal, and target blood pressure value, wherein the terminal device is a device bound to the wearable device.

10. A wearable device, characterized in that, include: A first sensor and a second sensor, wherein the first sensor is used to acquire the electrocardiogram signal of the subject under test, and the second sensor is used to acquire the pulse wave signal of the subject under test; An inflatable sphygmomanometer, used to collect the blood pressure value of the subject being tested; A processor and a memory, the memory storing computer instructions for causing the processor to perform the method according to any one of claims 1 to 9.

11. The wearable device according to claim 10, characterized in that, The wearable device is a wrist-worn device, which includes a main body and a wristband. The inflatable blood pressure monitor includes an air pump and an air bladder, with the air pump located in the main body and the air bladder located in the wristband.

12. A calibration device, characterized in that, For calibrating data of a wearable device, the wearable device including an inflatable blood pressure monitor, the device including a calibration module configured to: The electrocardiogram signal, pulse wave signal, and standard blood pressure value of the subject to be tested are acquired, wherein the standard blood pressure value is acquired by the inflatable sphygmomanometer. Based on the electrocardiogram signal and the pulse wave signal, determine the first time difference between the peak value of the R wave of the electrocardiogram signal and the peak value of the pulse wave signal in the same cardiac cycle; Based on the first time difference and the standard blood pressure value, a target mapping relationship between the pulse wave transmission time and blood pressure value of the subject to be tested is determined, and the mapping relationship generated in the previous calibration cycle is updated based on the target mapping relationship.

13. A blood pressure detection device, characterized in that, include: The data acquisition module is configured to collect electrocardiogram and pulse wave signals of the subject under test through sensors located on the wearable device in response to a blood pressure detection command. The data processing module is configured to determine the pulse wave transit time of the subject based on the electrocardiogram signal and the pulse wave signal; and to determine the target blood pressure value of the subject based on the pulse wave transit time and a pre-generated target mapping relationship, wherein the target mapping relationship is obtained by the method described in any one of claims 1 to 5.

14. A storage medium, characterized in that, The device stores computer instructions for implementing the method according to any one of claims 1 to 9.

15. A computer program product, characterized in that, The computer program product is used to implement the method according to any one of claims 1 to 9.

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