A method and apparatus for measuring blood pressure

Abstract

This application discloses a blood pressure measurement method and device, relating to the field of blood pressure measurement technology. It can accurately track the trend of a user's blood pressure changes without affecting the user's normal life, thus improving the user experience. A blood pressure measurement method is provided, comprising multiple measurement modes. The method further includes: determining the measurement accuracy level of the user being measured; wherein the measurement accuracy level of the user being measured is used to characterize the fluctuation of the user's blood pressure; determining the measurement mode of the user being measured based on the measurement accuracy level of the user and the correspondence between the measurement accuracy level and the measurement mode; and executing the measurement mode of the user being measured.

Description

Technical Field

[0001] This application relates to the field of blood pressure measurement technology, and in particular to a blood pressure measurement method and apparatus. Background Technology

[0002] Blood pressure is one of the important indicators for measuring human health. Measuring blood pressure is also a very common and necessary physical examination item in clinical practice. The measurement results of blood pressure can accurately reflect people's physical condition and can also help prevent common cardiovascular chronic diseases such as hypertension.

[0003] Therefore, how to accurately track changes in a user's blood pressure without affecting their normal life and thus improve the user experience is a problem that urgently needs to be solved. Summary of the Invention

[0004] This application provides a blood pressure measurement method and device that can accurately track the trend of blood pressure changes in users without affecting their normal lives, thus improving the user experience.

[0005] To achieve the above objectives, the embodiments of this application adopt the following technical solutions:

[0006] In a first aspect, a blood pressure measurement method is provided, the blood pressure measurement method including multiple measurement modes, the blood pressure measurement method further including: determining the measurement accuracy level of the user being measured; wherein, the measurement accuracy level of the user being measured is used to characterize the blood pressure fluctuation of the user being measured; determining the measurement mode of the user being measured based on the measurement accuracy level of the user being measured and the correspondence between the measurement accuracy level and the measurement mode; and executing the measurement mode of the user being measured.

[0007] Based on the first aspect of the method, the measurement mode of the user can be determined according to the measurement accuracy level of the user and the correspondence between the measurement accuracy level and the measurement mode. Then, the measurement mode of the user can be executed, which can ensure accurate tracking of the user's blood pressure change trend, reduce the pain caused by pressure increase, and effectively improve the user experience.

[0008] In one possible design, determining the measurement accuracy level of the tested user includes: determining the measurement accuracy level of the tested user based on first information; wherein the first information is used to determine the blood pressure fluctuation of the tested user, and the first information includes one or more of sleep information, time information, blood pressure prediction trend information, and physiological parameter information.

[0009] Based on this possible design, the measurement accuracy level of the tested user can be determined according to the first information, which can reflect the blood pressure fluctuation of the tested user, thereby more accurately tracking the blood pressure change trend of the tested user.

[0010] In one possible design, the measurement accuracy level of the tested user is determined based on the first information, including: the measurement accuracy level is directly proportional to the fluctuation of the tested user's blood pressure.

[0011] Based on this possible design, it is possible to more accurately track the blood pressure change trends of the tested users.

[0012] In one possible design, the correspondence between measurement accuracy levels and measurement modes includes: Level 1 corresponds to Mode 1, which includes not measuring the blood pressure of the user being measured; Level 2 corresponds to Mode 2, which includes emitting light to the user being measured at a first emission frequency; Level 3 corresponds to Mode 3, which includes emitting light to the user being measured at a second emission frequency; Level 4 corresponds to Mode 4, which includes applying pressure to the user being measured at a first maximum pressure amplitude; and Level 5 corresponds to Mode 5, which includes applying pressure to the user being measured at a second maximum pressure amplitude. Wherein, the first emission frequency is less than the second emission frequency, and the first maximum pressure amplitude is less than the second maximum pressure amplitude.

[0013] Based on this possible design, the accuracy level of blood pressure measurement can be determined according to changes in the physiological state of the user being measured, thereby enabling flexible switching of measurement modes.

[0014] Secondly, a blood pressure measuring device is provided, which is capable of performing multiple measurement modes. The blood pressure measuring device includes: a processing unit, which is used to determine the measurement accuracy level of the user being measured; wherein the measurement accuracy level of the user being measured is used to characterize the blood pressure fluctuation of the user being measured; the processing unit is also used to determine the measurement mode of the user being measured based on the measurement accuracy level of the user being measured and the correspondence between the measurement accuracy level and the measurement mode; and a measurement unit, which is used to execute the measurement mode of the user being measured.

[0015] In one possible design, the processing unit is used to determine the measurement accuracy level of the tested user, including: the processing unit is used to determine the measurement level of the tested user based on first information; wherein, the first information is used to determine the blood pressure fluctuation of the tested user, and the first information includes one or more of sleep information, time information, blood pressure prediction trend information, and physiological parameter information.

[0016] In one possible design, the processing unit is used to determine the measurement level of the user being tested based on first information, including: the measurement accuracy level is directly proportional to the fluctuation of the user's blood pressure.

[0017] In one possible design, the correspondence between measurement accuracy levels and measurement modes includes: Level 1 corresponds to Mode 1, where the measurement unit does not measure the blood pressure of the user being measured; Level 2 corresponds to Mode 2, where the measurement unit emits light to the user being measured at a first emission frequency; Level 3 corresponds to Mode 3, where the measurement unit emits light to the user being measured at a second emission frequency; Level 4 corresponds to Mode 4, where the measurement unit applies pressure to the user being measured at a first maximum pressure amplitude; and Level 5 corresponds to Mode 5, where the measurement unit applies pressure to the user being measured at a second maximum pressure amplitude. Wherein, the first emission frequency is less than the second emission frequency, and the first maximum pressure amplitude is less than the second maximum pressure amplitude.

[0018] The technical effects of the second aspect or any possible design of the second aspect can be found in the first aspect or any possible design of the first aspect mentioned above, and will not be repeated here.

[0019] Thirdly, a blood pressure measuring device is provided, including a memory and a processor, the memory being coupled to the processor; the memory is used to store computer program code, the computer program code including computer instructions; when the computer instructions are executed by the processor, the blood pressure measuring device causes the blood pressure measuring device to perform the blood pressure measuring method described in the first aspect or any possible design of the first aspect.

[0020] Fourthly, a chip system is provided, which is applied to a blood pressure measuring device; the chip system includes one or more interface circuits and one or more processors; the interface circuits and processors are interconnected via lines; the interface circuits are used to receive signals from the memory of the blood pressure measuring device and send signals to the processor, the signals including computer instructions stored in the memory; when the processor executes the computer instructions, the blood pressure measuring device performs the blood pressure measuring method described in the first aspect or any possible design of the first aspect.

[0021] Fifthly, a computer-readable storage medium is provided, which may be a readable non-volatile storage medium storing instructions that, when executed on a computer, cause the computer to perform the blood pressure measurement method described in the first aspect or any possible design of the first aspect.

[0022] In a sixth aspect, a computer program product containing instructions is provided, which, when run on a computer, causes the computer to perform the blood pressure measurement method described in the first aspect or any possible design of the first aspect.

[0023] The technical effects of any of the design methods in aspects three through six can be found in the first aspect or any possible design of the first aspect, and will not be repeated here. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the structure of a blood pressure measuring device provided in an embodiment of this application;

[0025] Figure 2 This is a schematic diagram of a blood pressure measurement method provided in an embodiment of this application;

[0026] Figure 3 A schematic diagram illustrating a biphasic blood pressure trend provided in an embodiment of this application;

[0027] Figure 4 A schematic diagram illustrating a decision measurement accuracy level provided in an embodiment of this application;

[0028] Figure 5 A schematic diagram illustrating yet another level of decision measurement accuracy provided in an embodiment of this application;

[0029] Figure 6 A schematic diagram illustrating yet another level of decision measurement accuracy provided in an embodiment of this application;

[0030] Figure 7 A schematic diagram illustrating yet another level of decision measurement accuracy provided in an embodiment of this application;

[0031] Figure 8 A schematic diagram illustrating yet another level of decision measurement accuracy provided in an embodiment of this application;

[0032] Figure 9 This is a schematic diagram of a blood pressure measuring device provided in an embodiment of this application. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the application will now be described in further detail with reference to the accompanying drawings.

[0034] In the following description, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0035] Furthermore, in this application, directional terms such as "upper" and "lower" are defined relative to the orientation of the components shown in the accompanying drawings. It should be understood that these directional terms are relative concepts, used for relative description and clarification, and can change accordingly depending on the orientation of the components in the accompanying drawings.

[0036] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0037] Whether blood pressure fluctuations are within a normal range is a good indicator of the severity of hypertension. In clinical practice, a 24-hour ambulatory blood pressure monitor is commonly used to continuously track blood pressure changes. This monitor is based on the oscillometric principle, inflating the cuff every 20 minutes to obtain multiple blood pressure measurements throughout the day, thus enabling blood pressure trend tracking. A 24-hour ambulatory blood pressure monitor includes a compression cuff, a compression catheter, and the monitoring unit. The monitor is relatively large, and prolonged wear can be inconvenient. Furthermore, the user needs to remain still when the cuff is inflated, and the fixed duration of compressions can be inconvenient. For example, frequent inflating during periods of low blood pressure fluctuation can cause unnecessary pain; frequent deep inflating at night can disrupt sleep, further reducing the reliability of the blood pressure measurements.

[0038] To minimize disruption to users' lives, blood pressure trends can be continuously tracked based on the characteristics of blood flow obtained through photoplethysmography (PPG). However, current PPG-based real-time blood pressure measurement technology is still immature and has certain limitations in accuracy; for example, it may produce significant errors in predicting blood pressure at certain critical moments.

[0039] To accurately track user blood pressure changes without disrupting their daily lives and improve user experience, this application provides a blood pressure measurement method and apparatus. The blood pressure measurement method includes multiple measurement modes and further comprises: determining the measurement accuracy level of the user being measured; wherein the measurement accuracy level of the user being measured is used to characterize the fluctuation of the user's blood pressure; determining the measurement mode of the user being measured based on the measurement accuracy level of the user being measured and the correspondence between the measurement accuracy level and the measurement mode; and executing the measurement mode of the user being measured.

[0040] The blood pressure measurement method and apparatus provided in the embodiments of this application are described below with reference to the accompanying drawings.

[0041] The blood pressure measuring device provided in this application can be a clinical instrument for measuring blood pressure, or it can be a smart wearable device. This application does not impose any restrictions on the specific type of blood pressure measuring device.

[0042] Figure 1 This is a schematic diagram of the structure of a blood pressure measuring device 100 provided in an embodiment of this application. Figure 1 The blood pressure measuring device 100 shown is merely an example, and the blood pressure measuring device 100 may have more or fewer components than those shown in the figure, may combine two or more components, or may have different component configurations. Figure 1 The various components shown can be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and / or application-specific integrated circuits.

[0043] like Figure 1 As shown, the blood pressure measuring device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a sensor module 150, a micro-pump airbag 160, a button 170, a motor 171, an indicator 172, a display screen 173, etc.

[0044] Processor 110 may include one or more processing units, such as: application processor (AP), modem processor, graphics processing unit (GPU), image signal processor (ISP), controller, memory, digital signal processor (DSP), baseband processor, and / or neural network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0045] The controller can serve as the central nervous system and command center of the blood pressure measuring device 100. The controller can generate operation control signals based on instruction operation codes and timing signals to control the fetching and execution of instructions.

[0046] The processor 110 may also include a memory for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. This memory can store instructions or data that the processor 110 has just used or that are used repeatedly. If the processor 110 needs to use the instruction or data again, it can retrieve it directly from the memory. This avoids repeated accesses, reduces the waiting time of the processor 110, and thus improves the efficiency of the system.

[0047] In some embodiments, processor 110 may include one or more interfaces. Interfaces may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, and / or a USB interface 130, etc.

[0048] It is understood that the interface connection relationships between the modules illustrated in this embodiment are merely illustrative and do not constitute a structural limitation on the blood pressure measuring device 100. In other embodiments, the blood pressure measuring device 100 may also employ different interface connection methods or a combination of multiple interface connection methods as described in the above embodiments.

[0049] The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the blood pressure measuring device 100. The external memory card communicates with the processor 110 through the external memory interface 120 to perform data storage.

[0050] Internal memory 121 can be used to store computer executable program code, which includes instructions. Processor 110 executes various functional applications and data processing of the blood pressure measuring device 100 by running the instructions stored in internal memory 121. For example, in this embodiment, processor 110 can execute instructions stored in internal memory 121, which may include a program storage area and a data storage area.

[0051] The program storage area can store the operating system, at least one application program required for a function, etc. The data storage area can store data created during the use of the blood pressure measuring device 100, etc. In addition, the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc.

[0052] The charging management module 140 receives charging input from a charger, which can be a wireless charger or a wired charger. While charging the battery 142, the charging management module 140 can also supply power to the electronic device via the power management module 141.

[0053] The power management module 141 is used to connect the battery 142, the charging management module 140, and the processor 110. The power management module 141 receives input from the battery 142 and / or the charging management module 140 to power the processor 110, internal memory 121, display screen 173, micro-pump airbag 160, etc. In some embodiments, the power management module 141 and the charging management module 140 may also be housed in the same device.

[0054] The sensor module 150 may include a PPG sensor 150A, an accelerometer (ACC) sensor 150B, a pressure sensor 150C, etc. The blood pressure measuring device 100 can obtain physiological parameters such as blood pressure, heart rate, and blood oxygen saturation of the user being measured through the PPG sensor 150A. Optionally, the blood pressure measuring device 100 may also include other physiological information measuring sensors such as a heart rate sensor and a blood oxygen sensor.

[0055] The micropump airbag 160 can be used to accurately measure the blood pressure of a user at critical moments using the pressurization method. Optionally, the micropump airbag 160 may include components such as a cuff, a micropump, and a pressure sensor. The cuff works in conjunction with the micropump to inflate and deflate, and the pressure sensor can detect changes in pressure within the cuff. Thus, the blood pressure measuring device 100 accurately measures the blood pressure of the user based on the oscillometric principle.

[0056] Buttons 170 include a power button, volume buttons, etc. Buttons 170 can be mechanical buttons or touch-sensitive buttons. Motor 171 can generate vibration alerts. Motor 171 can be used for vibration measurement alerts or for touch vibration feedback. Indicator 172 can be an indicator light, used to indicate charging status, battery level changes, or message notifications, etc.

[0057] The display screen 173 is used to display images, measurement values, etc., and includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), a Minied, MicroLED, Micro-OLED, a quantum dot light-emitting diode (QLED), etc. In some embodiments, the blood pressure measuring device 100 may include one or N displays 173, where N is a positive integer greater than 1. For example, the display screen 173 can be used to display a blood pressure change curve obtained from continuous measurements or to display the measured blood pressure value, etc.

[0058] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the blood pressure measuring device 100. In other embodiments of this application, the blood pressure measuring device 100 may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0059] The blood pressure measuring device described above is used in the following embodiments. Figure 1 The method of this application embodiment will be described using the blood pressure measuring device 100 shown as an example.

[0060] See Figure 2 This application provides a blood pressure measurement method, including:

[0061] S201. The blood pressure measuring device determines the accuracy level of the measurement for the user being tested.

[0062] The measurement accuracy level of the tested user can be used to characterize the fluctuation of the user's blood pressure. The higher the measurement accuracy level, the more accurate the blood pressure measurement result, and therefore the closer the blood pressure measurement result is to the user's true health condition, the higher the data reference value for health assessment. The measurement accuracy level is directly proportional to the fluctuation of the user's blood pressure; the greater the blood pressure fluctuation, the higher the measurement accuracy level, and vice versa.

[0063] For example, when the user is in good health, the blood pressure fluctuates less and the continuous trend of blood pressure change is relatively stable over a certain period of time. The blood pressure measuring device can decide to use a lower measurement accuracy for the user within this short period of time, so as to accurately reflect the stable trend of the user's true blood pressure value during this period of time.

[0064] For example, when a user is in poor health, their blood pressure rises sharply and fluctuates significantly over a certain period of time. If a lower measurement accuracy level is used, it will not accurately reflect the user's true blood pressure changes. Therefore, a higher measurement accuracy level needs to be used during this period to obtain the trend of the user's true blood pressure changes.

[0065] For example, the blood pressure measuring device can determine the measurement accuracy level of the user being measured based on the first information.

[0066] The first information can be used to determine the blood pressure fluctuation of the tested user. The first information may include one or more of the following: sleep information, time information, blood pressure prediction trend information, and physiological parameter information.

[0067] Among them, sleep information can indicate the current sleep state of the tested user, which can include any of the following states: deep sleep, light sleep, and wakefulness.

[0068] It should be noted that the method by which the blood pressure measuring device acquires the sleep information of the user being measured can refer to any existing sleep monitoring technology, and the embodiments of this application do not impose specific limitations.

[0069] The time information indicates the measurement moment, which can fall within either a preset first time interval or a second time interval. The first time interval includes a peak period and a trough period, meaning it comprises a period with two peaks and one trough. The second time interval includes the general period excluding the peak and trough periods, meaning it includes periods other than the two peaks and one trough. Specifically, if the blood pressure value at any given moment is greater than the first threshold within a continuous period, that period is considered the peak period; if the blood pressure value at any given moment is less than the second threshold, that period is considered the trough period; and the period excluding the peak and trough periods is considered the general period. Normal blood pressure generally exhibits a two-peak-one-trough trend, with a clear diurnal activity pattern. This regular variation in blood pressure aligns with the body's daily activity patterns, playing a role in protecting the structure and function of organs such as the heart, brain, and kidneys.

[0070] For example, Figure 3 This is a schematic diagram illustrating the biphasic and trough-like trend of blood pressure throughout the day. Figure 3It is known that blood pressure exhibits distinct biphasic peaks between 6:00 and 10:00 AM and between 4:00 and 6:00 PM, with a trough between 2:00 and 4:00 AM. Therefore, the first time interval can include 2:00–4:00, 6:00–10:00, and 4:00–6:00 PM, while the second time interval can include 0:00–2:00, 4:00–6:00, 10:00–16:00, and 6:00–12:00 AM.

[0071] Among these features, blood pressure prediction trend information can be used to indicate whether the current blood pressure trend of the user being measured is biphasic (two peaks and one trough). Specifically, the blood pressure measuring device can predict whether the current blood pressure trend is biphasic based on the received PPG signal.

[0072] The physiological parameters may include one or more of the following: the user's current heart rate, blood oxygen saturation, pressure, and PPG blood pressure value; this application does not impose specific limitations. The physiological parameters may be obtained from... Figure 1 The physiological information is acquired by various physiological sensors included in the sensor module 150. Optionally, the physiological parameter information may also include other physiological parameters such as respiratory rate and human acceleration value. In this embodiment, only some of the physiological parameters included in the physiological parameter information are used as examples. In actual applications, the physiological parameter information includes, but is not limited to, the physiological parameters involved in this embodiment.

[0073] Specifically, the process by which the blood pressure measuring device determines the measurement accuracy level of the user based on the first information can be referred to as Method 1, Method 2, and Method 3 below.

[0074] S202. The blood pressure measuring device determines the measurement mode for the user based on the user's measurement accuracy level and the correspondence between the measurement accuracy level and the measurement mode.

[0075] Different accuracy levels correspond to different measurement modes of the blood pressure measuring device. The correspondence between accuracy levels and measurement modes can be as follows: Level 1 corresponds to Mode 1, which includes not measuring the blood pressure of the user; Level 2 corresponds to Mode 2, which includes emitting light to the user at a first emission frequency; Level 3 corresponds to Mode 3, which includes emitting light to the user at a second emission frequency; Level 4 corresponds to Mode 4, which includes applying pressure to the user at a first maximum pressure amplitude; Level 5 corresponds to Mode 5, which includes applying pressure to the user at a second maximum pressure amplitude; wherein the first emission frequency is less than the second emission frequency, and the first maximum pressure amplitude is less than the second maximum pressure amplitude.

[0076] Optionally, the correspondence between measurement accuracy level and measurement mode in the embodiments of this application can be pre-configured.

[0077] Specifically, the first mode includes the blood pressure measuring device not measuring the user. When the first mode is applied, all measurement modes of the blood pressure measuring device can be turned off for a short period of time, thereby increasing the battery life of the blood pressure measuring device.

[0078] Specifically, the second and third modes are PPG measurement methods. In the second mode, the blood pressure measuring device emits light to the user at a first emission frequency, while in the third mode, it emits light at a second emission frequency. The first emission frequency is lower than the second emission frequency. For example, the first emission frequency can be 100Hz, and the second emission frequency can be 500Hz. The higher the emission frequency, the higher the measurement accuracy of the blood pressure measuring device. Therefore, the blood pressure measurement result in the third mode is more accurate than that in the second mode.

[0079] Specifically, modes four and five employ micro-pump pressurization measurement. In mode four, the blood pressure measuring device applies pressure to the user at a first maximum pressure amplitude, while in mode five, it applies pressure at a second maximum pressure amplitude, with the first maximum pressure amplitude being smaller than the second. In other words, mode four uses shallow pressure for measurement, while mode five uses deep pressure. The greater the pressure amplitude, the higher the accuracy of the blood pressure measurement result. Therefore, the blood pressure measurement result from mode five is more accurate than that from mode four.

[0080] S203, The blood pressure measuring device executes the measurement mode of the user being measured.

[0081] based on Figure 2 The method shown allows the blood pressure measuring device to determine the measurement accuracy level of the user based on the first information, and to determine the measurement mode of the user based on the measurement accuracy level and the correspondence between the measurement accuracy level and the measurement mode. This allows the device to execute the measurement mode of the user, ensuring accurate tracking of the user's blood pressure change trend while reducing pain caused by pressure increase, thus effectively improving the user experience.

[0082] The following is about Figure 2 The methods shown include, but are not limited to, Method 1, Method 2, and Method 3.

[0083] Method 1: The blood pressure measuring device can obtain the sleep information of the user being tested based on the received PPG signal, and further determine the measurement accuracy level of the user based on the user's sleep information, time information and physiological parameter information.

[0084] Figure 4 A schematic diagram of a decision measurement accuracy level provided in an embodiment of this application is shown below. Figure 4 As shown, the blood pressure measuring device determines whether the user is asleep based on the received PPG signal. If the user is asleep, it needs to further determine whether the user is in deep sleep. If the user is in light sleep or awake, it needs to further determine whether the current measurement time is during a period of significant blood pressure fluctuations with two peaks and one trough.

[0085] Figure 4 The specific details for determining the measurement accuracy level of the tested user are as follows:

[0086] If the user is in deep sleep, the blood pressure measuring device first determines the measurement accuracy level to be level 5, and then determines the measurement accuracy level to be level 2. That is, a precise blood pressure value is obtained by first applying deep pressure once, and then, because blood pressure is lower and fluctuates less in deep sleep, it can be measured at low frequency via PPG.

[0087] If the user is in a light sleep state and the current measurement time falls within the first time interval, the blood pressure measuring device first determines the user's measurement accuracy level as level four, and then determines the user's measurement accuracy level as level three. That is, in order to avoid disturbing the user's sleep in a light sleep state, a light pressure is applied first, and then a more accurate continuous blood pressure measurement value is obtained through PPG high-frequency measurement.

[0088] If the user being tested is in a light sleep state and the current measurement time falls within the second time interval, the blood pressure measuring device will determine the measurement accuracy of the user to be level three.

[0089] If the user being measured is awake and the current measurement time falls within the first time interval, the blood pressure measuring device determines the measurement accuracy level to be level five. This means that because blood pressure fluctuations are significant within the first time interval, a deeper pressure measurement is performed to obtain a more accurate blood pressure reading.

[0090] If the user being measured is awake, the current measurement time falls within the second time interval, and one or more of the user's physiological parameters are stable, then the blood pressure measuring device determines the measurement accuracy to be at level one. That is, when the user is awake and blood pressure and other physiological parameters do not fluctuate significantly, the measurement can be stopped for a short time, thus saving power and increasing the device's battery life.

[0091] The above method can determine the required measurement accuracy level based on the current sleep information of the user being tested, thereby enabling different users or the same user to adaptively switch the measurement accuracy level in different sleep states. It can combine pressurized measurement and PPG measurement to obtain more accurate blood pressure tracking without disturbing the user's sleep.

[0092] Method 2: The blood pressure measuring device can predict whether the blood pressure trend of the user being measured at the current measurement time is in a double peak and one trough based on the received PPG signal, and further determine the measurement accuracy level of the user based on time information, sleep information, and physiological parameter information.

[0093] Figure 5 A schematic diagram illustrating another level of decision measurement accuracy provided in this application embodiment, as shown below. Figure 5 As shown, the blood pressure measuring device determines whether the current blood pressure trend follows a biphasic pattern (two peaks and one trough) based on the received PPG signal. If so, it further determines whether the current measurement time falls within a period of significant blood pressure fluctuations within this biphasic-trough timeframe. If so, the current measurement time falls within the first time interval; otherwise, it falls within the second time interval. If the current measurement time falls within the second time interval, it further determines the sleep state of the user being measured, a process that can be described using the method described above.

[0094] Figure 5 The specific details for determining the measurement accuracy level of the tested user are as follows:

[0095] If the blood pressure trend of the user being measured is biphasic and trough-like, and the current measurement time is in the second time interval, then the blood pressure measuring device determines the measurement accuracy of the user to be level three.

[0096] If the blood pressure of the user being measured shows a double peak and a single trough, the current measurement time is in the first time interval, and the user is awake, then the blood pressure measuring device determines the measurement accuracy of the user to be level five.

[0097] If the blood pressure of the user being measured shows a double-peak and single-trough pattern, the current measurement time is in the first time interval, and the user is in a deep sleep state, the blood pressure measuring device first decides that the measurement accuracy of the user is level 5, and then decides that the measurement accuracy level of the user is level 2.

[0098] If the blood pressure of the user being measured shows a double peak and a single trough, the current measurement time is in the first time interval, and the user is in a light sleep state, then the blood pressure measuring device determines the measurement accuracy of the user to be level three.

[0099] If the blood pressure trend of the user being tested is not biphasic and has a single trough, and the user is in a deep sleep state, the blood pressure measuring device first determines the measurement accuracy level of the user to be level 5, and then determines the measurement accuracy level of the user to be level 2.

[0100] If the blood pressure trend of the user being tested is not biphasic and has a single trough, and the user is in a light sleep state, then the blood pressure measuring device will determine the measurement accuracy of the user to be level three.

[0101] If the blood pressure trend of the user being tested is not biphasic and trough-like, the user is awake, and one or more of the user's physiological parameters are stable, then the blood pressure measuring device determines the measurement accuracy of the user to be at level one.

[0102] Method 2 described above can determine the required level of measurement accuracy based on the measurement time information. When the user's blood pressure trend is captured to be in a double-peak and single-trough pattern and the measurement time is in the first time interval, the blood pressure measuring device can decide to activate a higher level of accuracy, thereby enabling the tracking and measurement of the user's true peak and trough values ​​of blood pressure throughout the day, which can help identify potential hypertension patients.

[0103] Method 3: Blood pressure measuring devices can determine the measurement accuracy level of the user based on one or more physiological parameters in the physiological parameter information.

[0104] Figure 6 A schematic diagram illustrating another level of decision measurement accuracy provided in this application embodiment, as shown below. Figure 6 As shown, the blood pressure measuring device predicts whether the current blood pressure trend is biphasic and trough based on the received PPG signal. When the blood pressure trend of the user being measured is not biphasic and trough, the device further determines the user's sleep state. When the user is awake, the device further determines whether there is a sudden change in the physiological parameters in the physiological parameter information, thereby determining the measurement accuracy level of the user.

[0105] Among them, motion status information can indicate the current motion status of the user being tested. For example, if the user's heart rate suddenly increases and the human body acceleration value also increases within a certain period of time, the blood pressure measuring device can determine that the user is in motion during the current period of time.

[0106] Figure 6 The specific details for determining the measurement accuracy level of the tested user are as follows:

[0107] If the blood pressure trend of the user being tested is not biphasic and trough-like, the user is awake, and one or more of the user's physiological parameters are stable without any sudden changes, then the blood pressure measuring device determines the measurement accuracy of the user to be at level one.

[0108] If the blood pressure trend of the user being tested is not biphasic and trough-like, the user is awake, one or more of the user's physiological parameters undergo a sudden change, or the user is in motion, then the blood pressure measuring device will determine the measurement accuracy of the user to be level three.

[0109] For example, Figure 7 This is a schematic diagram illustrating yet another level of decision measurement accuracy provided in an embodiment of this application. For example... Figure 7As shown, when the blood pressure measuring device detects a sudden increase in the heart rate of the user being measured through the PPG signal, and the human acceleration value (ACC) also increases, it determines that the user is in a state of exercise. In order to reduce the impact on the user's normal life, the blood pressure measuring device decides that the measurement accuracy of the user is at level three, that is, no pressure measurement is performed when the user is in a state of exercise. At the same time, considering the influence of motion artifacts on the PPG signal, the PPG high-frequency measurement mode is activated.

[0110] If the blood pressure trend of the user being tested is not biphasic and trough-like, the user is awake, one or more of the user's physiological parameters undergo a sudden change, or the user is in a non-exercising state, then the blood pressure measuring device will determine the measurement accuracy of the user to be level 5.

[0111] For example, Figure 8 This is a schematic diagram illustrating yet another level of decision measurement accuracy provided in an embodiment of this application. For example... Figure 8 As shown, the blood pressure measuring device detects a sudden change in the blood oxygen value of the user being measured through the PPG signal, and the user is in a non-exercising state. At this time, the device decides to set the accuracy level of the measurement of the user to level 5 in order to obtain the most accurate measurement result.

[0112] The above method three combines changes in multiple physiological parameters of the user to determine the user's current physiological state, and further decides on the required level of accuracy for blood pressure measurement, so as to ensure accurate tracking of changes in the user's blood pressure while reducing the pain caused by increased pressure.

[0113] For example, the blood pressure measuring device can also determine the measurement accuracy level of the user based on multiple factors including sleep information, time information, blood pressure prediction trend information, and physiological parameter information. For instance, the blood pressure measuring device can determine the measurement accuracy level of the user based on sleep information and time information; alternatively, it can determine the measurement accuracy level of the user based on time information, blood pressure prediction trend information, and physiological parameter information; or it can determine the measurement accuracy level of the user based on time information and physiological parameter information. The specific implementation process can be referred to in methods one, two, and three above, and will not be elaborated further.

[0114] This application embodiment can divide tags or network devices into functional modules based on the above method examples. For example, each function can be divided into its own functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be noted that the module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0115] Figure 9 A structural diagram of a blood pressure measuring device 900 is shown, which can be used to perform the functions of the blood pressure measuring device involved in the above embodiments. As one possible implementation, Figure 9 The blood pressure measuring device 900 shown includes: an acquisition unit 901, a processing unit 902, and a measurement unit 903.

[0116] The acquisition unit 901 can be used to acquire first information, which may include one or more of sleep information, time information, and physiological parameter information.

[0117] The processing unit 902 can be used to determine the measurement level of the tested user based on the first information; the processing unit 902 can also be used to determine the measurement mode of the tested user based on the measurement accuracy level of the tested user and the correspondence between the measurement accuracy level and the measurement mode, wherein the measurement accuracy level of the tested user is used to characterize the blood pressure fluctuation of the tested user.

[0118] The measurement unit 903 can be used to execute the measurement mode of the user under test.

[0119] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be implemented by a computer program instructing related hardware. This program can be stored in the computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be a terminal of any of the foregoing embodiments, such as an internal storage unit including a data sending end and / or a data receiving end, like a hard disk or memory of the terminal. The computer-readable storage medium can also be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal. Further, the computer-readable storage medium can include both the internal storage unit and the external storage device of the terminal. The computer-readable storage medium is used to store the computer program and other programs and data required by the terminal. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0120] This application also provides a computer program product containing instructions that, when executed on a computer, cause the computer to perform the blood pressure measurement method described in any embodiment of this application.

[0121] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0122] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply 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.

[0123] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0124] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0125] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0126] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0127] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0128] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0129] The steps in the method of this application embodiment can be adjusted, combined, or deleted according to actual needs.

[0130] The units in the device of this application embodiment can be merged, divided, and deleted according to actual needs.

[0131] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method of blood pressure measurement, characterized by, The blood pressure measurement method comprises a plurality of measurement modes, and the blood pressure measurement method further comprises: determining a measurement accuracy level of the measured user according to first information; wherein the first information is used to determine a blood pressure fluctuation of the measured user, the first information comprises one or more of sleep information, time information, blood pressure prediction trend information, and physiological parameter information, and the measurement accuracy level of the measured user is used to represent the blood pressure fluctuation of the measured user; determining a measurement mode of the measured user according to the measurement accuracy level of the measured user and a corresponding relationship between the measurement accuracy level and the measurement mode; executing the measurement mode of the measured user; the determination of the measurement accuracy level of the measured user comprises: if the measured user is in a deep sleep state, firstly determining that the measurement accuracy level of the measured user is a fifth level, and then determining that the measurement accuracy level of the measured user is a second level; if the measured user is in a light sleep state and a current measurement time is in a double-peak-one-valley time period, firstly determining that the measurement accuracy level of the measured user is a fourth level, and then determining that the measurement accuracy level of the measured user is a third level; in a continuous time period, if the blood pressure value at any time is greater than a first threshold value, the time period is a peak time period; if the blood pressure value at any time is less than a second threshold value, the time period is a valley time period; if the measured user is in a light sleep state and a current measurement time is in a non-double-peak-one-valley time period, determining that the measurement accuracy level of the measured user is a third level; the non-double-peak-one-valley time period is a time period other than the peak time period and the valley time period; if the measured user is in a wake state and a current measurement time is in a double-peak-one-valley time period, determining that the measurement accuracy level of the measured user is a fifth level; if the measured user is in a wake state and a current measurement time is in a non-double-peak-one-valley time period, and one or more parameters in the physiological parameter information of the measured user are in a stable state, determining that the measurement accuracy level of the measured user is a first level; or, if the blood pressure trend of the measured user is in a double-peak-one-valley state and a current measurement time is in a non-double-peak-one-valley time period, determining that the measurement accuracy level of the measured user is a third level; if the blood pressure trend of the measured user is in a double-peak-one-valley state, a current measurement time is in a double-peak-one-valley time period, and the measured user is in a wake state, the measurement accuracy level of the measured user is a fifth level; if the blood pressure trend of the measured user is in a double-peak-one-valley state, a current measurement time is in a double-peak-one-valley time period, and the measured user is in a deep sleep state, firstly determining that the measurement accuracy level of the measured user is a fifth level, and then determining that the measurement accuracy level of the measured user is a second level; if the blood pressure trend of the measured user is in a double-peak-one-valley state, a current measurement time is in a double-peak-one-valley time period, and the measured user is in a light sleep state, determining that the measurement accuracy level of the measured user is a third level. If the blood pressure trend of the measured user is in a non-double-peak-one-valley, the measured user is in a deep sleep state, then firstly determining that the measurement accuracy level of the measured user is the fifth level, and then determining that the measurement accuracy level of the measured user is the second level; If the blood pressure trend of the measured user is in a non-double-peak-one-valley, the measured user is in a light sleep state, then determining that the measurement accuracy level of the measured user is the third level; If the blood pressure trend of the measured user is in a non-double-peak-one-valley, the measured user is in a wake state, and one or more parameters in the physiological parameter information of the measured user are in a stable state, then determining that the measurement accuracy level of the measured user is the first level; Or, If the blood pressure trend of the measured user is in a non-double-peak-one-valley, the measured user is in a wake state, and one or more parameters in the physiological parameter information of the measured user are in a stable state without mutation, then determining that the measurement accuracy level of the measured user is the first level; If the blood pressure trend of the measured user is in a non-double-peak-one-valley, the measured user is in a wake state, one or more parameters in the physiological parameter information of the measured user have mutation, and the measured user is in a motion state, then determining that the measurement accuracy level of the measured user is the third level.

2. The method of claim 1, wherein, The measurement accuracy level is in a positive proportional relationship with the blood pressure fluctuation of the measured user.

3. The method of claim 1, wherein, The corresponding relationship between the measurement accuracy level and the measurement mode includes: The first level corresponds to the first mode, and the first mode includes not performing blood pressure measurement on the measured user; The second level corresponds to the second mode, and the second mode includes emitting light to the measured user at a first light emission frequency; The third level corresponds to the third mode, and the third mode includes emitting light to the measured user at a second light emission frequency; The fourth level corresponds to the fourth mode, and the fourth mode includes pressurizing the measured user at a first maximum pressure amplitude; The fifth level corresponds to the fifth mode, and the fifth mode includes pressurizing the measured user at a second maximum pressure amplitude; The first light emission frequency is less than the second light emission frequency, and the first maximum pressure amplitude is less than the second maximum pressure amplitude.

4. A blood pressure measuring apparatus characterized by comprising: The blood pressure measurement device can perform multiple measurement modes, and the blood pressure measurement device includes: A processing unit, configured to determine the measurement accuracy level of the measured user according to first information, wherein the first information is used to determine the blood pressure fluctuation of the measured user, the first information includes one or more of sleep information, time information, blood pressure prediction trend information, and physiological parameter information, and the measurement accuracy level of the measured user is used to represent the blood pressure fluctuation of the measured user; the processing unit is further configured to determine the measurement mode of the measured user according to the measurement accuracy level of the measured user and the corresponding relationship between the measurement accuracy level and the measurement mode; A measurement unit, configured to perform the measurement mode of the measured user; The processing unit is further configured to: If the measured user is in deep sleep state, the measurement accuracy level of the measured user is first determined as the fifth level, and then determined as the second level; If the measured user is in light sleep state, and the current measurement time is in the double-peak-one-valley time period, the measurement accuracy level of the measured user is first determined as the fourth level, and then determined as the third level; in a continuous time period, the blood pressure value at any time is greater than the first threshold value, and the time period is the peak time period; the blood pressure value at any time is less than the second threshold value, and the time period is the valley time period; If the measured user is in light sleep state, and the current measurement time is in the non-double-peak-one-valley time period, the measurement accuracy level of the measured user is determined as the third level; the non-double-peak-one-valley time period is a time period other than the peak time period and the valley time period; If the measured user is in a wakeful state, and the current measurement time is in the double-peak-one-valley time period, the measurement accuracy level of the measured user is determined as the fifth level; If the measured user is in a wakeful state, and the current measurement time is in the non-double-peak-one-valley time period, and one or more parameters in the physiological parameter information of the measured user are in a stable state, the measurement accuracy level of the measured user is determined as the first level; The processing unit is further configured to: If the blood pressure trend of the measured user is in the double-peak-one-valley, and the current measurement time is in the non-double-peak-one-valley time period, the measurement accuracy level of the measured user is determined as the third level; If the blood pressure trend of the measured user is in the double-peak-one-valley, and the current measurement time is in the double-peak-one-valley time period, and the measured user is in a wakeful state, the measurement accuracy level of the measured user is the fifth level; If the blood pressure trend of the measured user is in the double-peak-one-valley, and the current measurement time is in the double-peak-one-valley time period, and the measured user is in deep sleep state, the measurement accuracy level of the measured user is first determined as the fifth level, and then determined as the second level; If the blood pressure trend of the measured user is in the double-peak-one-valley, and the current measurement time is in the double-peak-one-valley time period, and the measured user is in light sleep state, the measurement accuracy level of the measured user is determined as the third level; If the blood pressure trend of the measured user is in the non-double-peak-one-valley, and the measured user is in deep sleep state, the measurement accuracy level of the measured user is first determined as the fifth level, and then determined as the second level; If the blood pressure trend of the measured user is in the non-double-peak-one-valley, and the measured user is in light sleep state, the measurement accuracy level of the measured user is determined as the third level; If the blood pressure trend of the measured user is in the non-double-peak-one-valley, and the measured user is in a wakeful state, and one or more parameters in the physiological parameter information of the measured user are in a stable state, the measurement accuracy level of the measured user is determined as the first level; The processing unit is further configured to: If the blood pressure trend of the measured user is in a non-double-peak-one-valley state, the measured user is in a sober state, one or more parameters in the physiological parameter information of the measured user are in a stable state, and no mutation occurs, it is determined that the measurement accuracy level of the measured user is a first level. If the blood pressure trend of the measured user is in a non-double-peak-one-valley state, the measured user is in a sober state, one or more parameters in the physiological parameter information of the measured user are in a stable state, and no mutation occurs, it is determined that the measurement accuracy level of the measured user is a first level.

5. The apparatus of claim 4, wherein The measurement accuracy level is in a positive proportional relationship with the blood pressure fluctuation of the measured user.

6. The apparatus of claim 4, wherein, The corresponding relationship between the measurement accuracy level and the measurement mode includes: The first level corresponds to a first mode, and the first mode includes that the measurement unit does not perform blood pressure measurement on the measured user; The second level corresponds to a second mode, and the second mode includes that the measurement unit emits light to the measured user at a first light emission frequency; The third level corresponds to a third mode, and the third mode includes that the measurement unit emits light to the measured user at a second light emission frequency; The fourth level corresponds to a fourth mode, and the fourth mode includes that the measurement unit pressurizes the measured user at a first maximum pressure amplitude; The fifth level corresponds to a fifth mode, and the fifth mode includes that the measurement unit pressurizes the measured user at a second maximum pressure amplitude; Wherein, the first light emission frequency is less than the second light emission frequency, and the first maximum pressure amplitude is less than the second maximum pressure amplitude.

7. A blood pressure measuring device, characterized by, The blood pressure measurement device includes a memory and a processor, the memory is coupled with the processor; the memory is used to store computer program code, the computer program code includes computer instructions; when the computer instructions are executed by the processor, the blood pressure measurement device executes the blood pressure measurement method according to any one of claims 1-3.

8. A chip system, characterized by The chip system is applied to a blood pressure measurement device; the chip system includes one or more interface circuits and one or more processors; the interface circuit and the processor are interconnected through a circuit; the interface circuit is used to receive a signal from a memory of the blood pressure measurement device and send the signal to the processor, the signal includes computer instructions stored in the memory; when the processor executes the computer instructions, the blood pressure measurement device executes the blood pressure measurement method according to any one of claims 1-3.

9. A computer-readable storage medium, characterized in that, The computer instructions, when executed on a computer, cause the computer to execute the blood pressure measurement method according to any one of claims 1-3.

10. A computer program product, characterised in that, The computer program product, when executed on a computer, causes the computer to execute the blood pressure measurement method according to any one of claims 1-3.

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